--- DOAJ_listed: '1' OA_place: publisher OA_type: gold _id: '18585' abstract: - lang: eng text: We present the census of Hβ+[OIII] 4960,5008 Åemitters at 6.87 galaxies. We report a rapid decline of the [OIII] luminosity density at z≳6−7 which cannot be explained by the evolution of the cosmic star-formation rate density. Finally we find that FRESCO detects in only 2h galaxies likely accounting for ∼10−20% of the ionising budget at z=7−8 (assuming an escape fraction of 10%), raising the prospect of directly detecting a significant fraction of the sources of reionisation with JWST. acknowledgement: "The authors thank the anonymous referee for comments and suggestions which improved this paper. RAM thanks R. Kannan for sharing emission line luminosities from THESAN and H. Katz for similar data from an early version of the SPHINX20 data release (we use the final data release in this paper). The authors thank the CONGRESS team for proposing and designing their program with a zero exclusive access period.\r\nRAM, PA, ACP, and AW acknowledge support from the Swiss National Science Foundation (SNSF) through project grant 200020_207349. PA, AW, EG, and MX acknowledge support from the Swiss State Secretariat for Education, Research and Innovation (SERI) under contract number MB22.00072. YF acknowledges support by JSPS KAKENHI grant number JP22K21349 and JP23K13149. RPN acknowledges support for this work provided by NASA through the NASA Hubble Fellowship grant HST-HF2-51515.001-A awarded by the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Incorporated, under NASA contract NAS5-26555. MS acknowledges support from the European Research Commission Grant 101088789 (SFEER), from the CIDEGENT/2021/059 grant by Generalitat Valenciana, and from project PID2019-109592GB-I00/AEI/10.13039/501100011033 by the Spanish Ministerio de Ciencia e Innovación - Agencia Estatal de Investigación. The Cosmic Dawn Center (DAWN) is funded by the Danish National Research Foundation under grant no. 140. Cloud-based data processing and file storage for this work is provided by the AWS Cloud Credits for Research program. RJB and MS acknowledges support from NWO grant TOP1.16.057.\r\nThis work is based on observations made with the NASA/ESA/CSA JWST. The raw data were obtained from the Mikulski Archive for Space Telescopes at the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NAS 5-03127 for JWST. These observations are associated with JWST Cycle 1 GO program #1895. Support for program JWST-GO-1895 was provided by NASA through a grant from the Space Telescope Science Institute, which is operated by the Associations of Universities for Research in Astronomy, Incorporated, under NASA contract NAS5-26555." article_processing_charge: Yes article_type: original author: - first_name: R. A. full_name: Meyer, R. A. last_name: Meyer - first_name: P. A. full_name: Oesch, P. A. last_name: Oesch - first_name: E. full_name: Giovinazzo, E. last_name: Giovinazzo - first_name: A. full_name: Weibel, A. last_name: Weibel - first_name: G. full_name: Brammer, G. last_name: Brammer - first_name: Jorryt J full_name: Matthee, Jorryt J id: 7439a258-f3c0-11ec-9501-9df22fe06720 last_name: Matthee orcid: 0000-0003-2871-127X - first_name: R. P. full_name: Naidu, R. P. last_name: Naidu - first_name: R. J. full_name: Bouwens, R. J. last_name: Bouwens - first_name: J. full_name: Chisholm, J. last_name: Chisholm - first_name: A. full_name: Covelo-Paz, A. last_name: Covelo-Paz - first_name: Y. full_name: Fudamoto, Y. last_name: Fudamoto - first_name: M. full_name: Maseda, M. last_name: Maseda - first_name: E. full_name: Nelson, E. last_name: Nelson - first_name: I. full_name: Shivaei, I. last_name: Shivaei - first_name: M. full_name: Xiao, M. last_name: Xiao - first_name: T. full_name: Herard-Demanche, T. last_name: Herard-Demanche - first_name: G. D. full_name: Illingworth, G. D. last_name: Illingworth - first_name: J. full_name: Kerutt, J. last_name: Kerutt - first_name: Ivan full_name: Kramarenko, Ivan id: 9a9394cb-3200-11ee-973b-f5ba2a8b16e4 last_name: Kramarenko orcid: 0000-0001-5346-6048 - first_name: I. full_name: Labbe, I. last_name: Labbe - first_name: E. full_name: Leonova, E. last_name: Leonova - first_name: D. full_name: Magee, D. last_name: Magee - first_name: J. full_name: Matharu, J. last_name: Matharu - first_name: G. full_name: Prieto Lyon, G. last_name: Prieto Lyon - first_name: N. full_name: Reddy, N. last_name: Reddy - first_name: D. full_name: Schaerer, D. last_name: Schaerer - first_name: A. full_name: Shapley, A. last_name: Shapley - first_name: M. full_name: Stefanon, M. last_name: Stefanon - first_name: M. A. full_name: Wozniak, M. A. last_name: Wozniak - first_name: S. full_name: Wuyts, S. last_name: Wuyts citation: ama: 'Meyer RA, Oesch PA, Giovinazzo E, et al. JWST FRESCO: A comprehensive census of H β + [O iii] emitters at 6.8 < z < 9.0 in the GOODS fields. Monthly Notices of the Royal Astronomical Society. 2024;535(1):1067-1094. doi:10.1093/mnras/stae2353' apa: 'Meyer, R. A., Oesch, P. A., Giovinazzo, E., Weibel, A., Brammer, G., Matthee, J. J., … Wuyts, S. (2024). JWST FRESCO: A comprehensive census of H β + [O iii] emitters at 6.8 < z < 9.0 in the GOODS fields. Monthly Notices of the Royal Astronomical Society. Oxford University Press. https://doi.org/10.1093/mnras/stae2353' chicago: 'Meyer, R. A., P. A. Oesch, E. Giovinazzo, A. Weibel, G. Brammer, Jorryt J Matthee, R. P. Naidu, et al. “JWST FRESCO: A Comprehensive Census of H β + [O Iii] Emitters at 6.8 < z < 9.0 in the GOODS Fields.” Monthly Notices of the Royal Astronomical Society. Oxford University Press, 2024. https://doi.org/10.1093/mnras/stae2353.' ieee: 'R. A. Meyer et al., “JWST FRESCO: A comprehensive census of H β + [O iii] emitters at 6.8 < z < 9.0 in the GOODS fields,” Monthly Notices of the Royal Astronomical Society, vol. 535, no. 1. Oxford University Press, pp. 1067–1094, 2024.' ista: 'Meyer RA, Oesch PA, Giovinazzo E, Weibel A, Brammer G, Matthee JJ, Naidu RP, Bouwens RJ, Chisholm J, Covelo-Paz A, Fudamoto Y, Maseda M, Nelson E, Shivaei I, Xiao M, Herard-Demanche T, Illingworth GD, Kerutt J, Kramarenko I, Labbe I, Leonova E, Magee D, Matharu J, Prieto Lyon G, Reddy N, Schaerer D, Shapley A, Stefanon M, Wozniak MA, Wuyts S. 2024. JWST FRESCO: A comprehensive census of H β + [O iii] emitters at 6.8 < z < 9.0 in the GOODS fields. Monthly Notices of the Royal Astronomical Society. 535(1), 1067–1094.' mla: 'Meyer, R. A., et al. “JWST FRESCO: A Comprehensive Census of H β + [O Iii] Emitters at 6.8 < z < 9.0 in the GOODS Fields.” Monthly Notices of the Royal Astronomical Society, vol. 535, no. 1, Oxford University Press, 2024, pp. 1067–94, doi:10.1093/mnras/stae2353.' short: R.A. Meyer, P.A. Oesch, E. Giovinazzo, A. Weibel, G. Brammer, J.J. Matthee, R.P. Naidu, R.J. Bouwens, J. Chisholm, A. Covelo-Paz, Y. Fudamoto, M. Maseda, E. Nelson, I. Shivaei, M. Xiao, T. Herard-Demanche, G.D. Illingworth, J. Kerutt, I. Kramarenko, I. Labbe, E. Leonova, D. Magee, J. Matharu, G. Prieto Lyon, N. Reddy, D. Schaerer, A. Shapley, M. Stefanon, M.A. Wozniak, S. Wuyts, Monthly Notices of the Royal Astronomical Society 535 (2024) 1067–1094. das_tickbox: '1' dataavailabilitystatement: "The results presented in this work are mostly based on public JWST GO1 data (Programme #1895), reduced with the publicly-available code GRIZLI (grizli.readthedocs.io). The reduced imaging data is publicly available at https://s3.amazonaws.com/grizli-v2/JwstMosaics/v7/index.html or through MAST: https://archive.stsci.edu/hlsp/fresco (DOI:10.17909/gdyc-7g80). The [\r\n] emitters catalogues presented in this work, as well as subsequent updates, is publicly available at the following link https://github.com/rameyer/fresco/." date_created: 2024-11-24T23:01:49Z date_published: 2024-11-01T00:00:00Z date_updated: 2026-10-15T09:36:43Z day: '01' ddc: - '520' department: - _id: JoMa doi: 10.1093/mnras/stae2353 external_id: isi: - '001348009500001' file: - access_level: open_access checksum: efe0ce3580e01459f3be78eb111b35a9 content_type: application/pdf creator: dernst date_created: 2024-12-03T12:52:13Z date_updated: 2024-12-03T12:52:13Z file_id: '18613' file_name: 2024_MonthlyNRoyalAstronSoc_Meyer.pdf file_size: 29476699 relation: main_file success: 1 file_date_updated: 2024-12-03T12:52:13Z fulldoi: https://doi.org/10.1093/mnras/stae2353 has_accepted_license: '1' intvolume: ' 535' isi: 1 issue: '1' language: - iso: eng month: '11' oa: 1 oa_version: Published Version page: 1067-1094 publication: Monthly Notices of the Royal Astronomical Society publication_identifier: eissn: - 1365-2966 issn: - 0035-8711 publication_status: published publisher: Oxford University Press quality_controlled: '1' researchdata_availability: yes scopus_import: '1' status: public supplementarymaterial: yes title: 'JWST FRESCO: A comprehensive census of H β + [O iii] emitters at 6.8 < z < 9.0 in the GOODS fields' tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 535 year: '2024' ... --- OA_place: publisher OA_type: diamond _id: '18493' abstract: - lang: eng text: "Context. The escape of Lyman-α photons at redshifts greater than two is an ongoing subject of study and an important quantity to further understanding of Lyman-α emitters (LAEs), the transmission of Lyman-α photons through the interstellar medium and intergalactic medium, and the impact these LAEs have on cosmic reionisation.\r\n\r\nAims. This study aims to assess the Lyman-α escape fraction, fesc, Lyα, over the redshift range 2.9 < z < 6.7, focusing on Very Large Telescope/Multi Unit Spectroscopic Explorer (VLT/MUSE) selected, gravitationally lensed, intrinsically faint LAEs. These galaxies are of particular interest as the potential drivers of cosmic reionisation.\r\n\r\nMethods. We assessed fesc, Lyα in two ways: through an individual study of 96 LAEs behind the A2744 lensing cluster, with James Webb Space Telescope/Near-Infrared Camera (JWST/NIRCam) and HST data, and through a study of the global evolution of fesc, Lyα using the state-of-the-art luminosity functions for LAEs and the UV-selected ‘parent’ population (dust-corrected). We compared these studies to those in the literature based on brighter samples.\r\n\r\nResults. We find a negligible redshift evolution of fesc, Lyα for our individual galaxies; it is likely that it was washed out by significant intrinsic scatter. We observed a more significant evolution towards higher escape fractions with decreasing UV magnitude and fit this relation. When comparing the two luminosity functions to derive fesc, Lyα in a global sense, we saw agreement with previous literature when integrating the luminosity functions to a bright limit. However, when integrating using a faint limit equivalent to the observational limits of our samples, we observed enhanced values of fesc, Lyα, particularly around z ∼ 6, where fesc, Lyα becomes consistent with 100% escape. This indicates for the faint regimes we sampled that galaxies towards reionisation tend to allow very large fractions of Lyman-α photons to escape. We interpret this as evidence of a lack of any significant dust in these populations; our sample is likely dominated by young, highly star-forming chemically unevolved galaxies. Finally, we assessed the contribution of the LAE population to reionisation using our latest values for fesc, Lyα and the LAE luminosity density. The dependence on the escape fraction of Lyman continuum photons is strong, but for values similar to those observed recently in z ∼ 3 LAEs and high-redshift analogues, LAEs could provide all the ionising emissivity necessary for reionisation." acknowledgement: "This work is done based on observations made with ESO Telescopes at the La Silla Paranal Observatory under programme IDs 060.A-9345, 092.A-0472, 094.A-0115, 095.A-0181, 096.A-0710, 097.A0269, 100.A-0249, and 294.A-5032. Also based on observations obtained with the\r\nNASA/ESA Hubble Space Telescope, retrieved from the Mikulski Archive for Space Telescopes (MAST) at the Space Telescope Science Institute (STScI). STScI is operated by the Association of Universities for Research in Astronomy, Inc. under NASA contract NAS 5-26555. All plots in this paper were created using Matplotlib (Hunter 2007). Part of this work was supported by the French CNRS, the Aix-Marseille University, the French Programme National de Cosmologie et Galaxies (PNCG) of CNRS/INSU with INP and IN2P3, co-funded by CEA and CNES. This work also received support from the French government under the France 2030 investment plan, as part of the Excellence Initiative of Aix-Marseille University - A*MIDEX (AMX-19-IET-008 - IPhU).\r\nFinancial support from the World Laboratory, the Odon Vallet Foundation and VNSC is gratefully acknowledged. Tran Thi Thai was funded by Vingroup JSC and supported by the Master, PhD Scholarship Programme of Vingroup Innovation Foundation (VINIF), Institute of Big Data, code VINIF.2023.TS.108. This research was funded by Vingroup Innovation Foundation under project code VINIF.2023.DA.057." article_number: A302 article_processing_charge: No article_type: original arxiv: 1 author: - first_name: I. full_name: Goovaerts, I. last_name: Goovaerts - first_name: T. T. full_name: Thai, T. T. last_name: Thai - first_name: R. full_name: Pello, R. last_name: Pello - first_name: P. full_name: Tuan-Anh, P. last_name: Tuan-Anh - first_name: N. full_name: Laporte, N. last_name: Laporte - first_name: Jorryt J full_name: Matthee, Jorryt J id: 7439a258-f3c0-11ec-9501-9df22fe06720 last_name: Matthee orcid: 0000-0003-2871-127X - first_name: T. full_name: Nanayakkara, T. last_name: Nanayakkara - first_name: J. full_name: Pharo, J. last_name: Pharo citation: ama: Goovaerts I, Thai TT, Pello R, et al. Charting the Lyman-α escape fraction in the range 2.9 < z < 6.7 and consequences for the LAE reionisation contribution. Astronomy & Astrophysics. 2024;690. doi:10.1051/0004-6361/202451432 apa: Goovaerts, I., Thai, T. T., Pello, R., Tuan-Anh, P., Laporte, N., Matthee, J. J., … Pharo, J. (2024). Charting the Lyman-α escape fraction in the range 2.9 < z < 6.7 and consequences for the LAE reionisation contribution. Astronomy & Astrophysics. EDP Sciences. https://doi.org/10.1051/0004-6361/202451432 chicago: Goovaerts, I., T. T. Thai, R. Pello, P. Tuan-Anh, N. Laporte, Jorryt J Matthee, T. Nanayakkara, and J. Pharo. “Charting the Lyman-α Escape Fraction in the Range 2.9 < z < 6.7 and Consequences for the LAE Reionisation Contribution.” Astronomy & Astrophysics. EDP Sciences, 2024. https://doi.org/10.1051/0004-6361/202451432. ieee: I. Goovaerts et al., “Charting the Lyman-α escape fraction in the range 2.9 < z < 6.7 and consequences for the LAE reionisation contribution,” Astronomy & Astrophysics, vol. 690. EDP Sciences, 2024. ista: Goovaerts I, Thai TT, Pello R, Tuan-Anh P, Laporte N, Matthee JJ, Nanayakkara T, Pharo J. 2024. Charting the Lyman-α escape fraction in the range 2.9 < z < 6.7 and consequences for the LAE reionisation contribution. Astronomy & Astrophysics. 690, A302. mla: Goovaerts, I., et al. “Charting the Lyman-α Escape Fraction in the Range 2.9 < z < 6.7 and Consequences for the LAE Reionisation Contribution.” Astronomy & Astrophysics, vol. 690, A302, EDP Sciences, 2024, doi:10.1051/0004-6361/202451432. short: I. Goovaerts, T.T. Thai, R. Pello, P. Tuan-Anh, N. Laporte, J.J. Matthee, T. Nanayakkara, J. Pharo, Astronomy & Astrophysics 690 (2024). das_tickbox: '0' date_created: 2024-11-03T23:01:45Z date_published: 2024-10-01T00:00:00Z date_updated: 2026-10-15T09:40:49Z day: '01' ddc: - '520' department: - _id: JoMa doi: 10.1051/0004-6361/202451432 external_id: arxiv: - '2408.00517' isi: - '001339205700015' file: - access_level: open_access checksum: 4007e2b0fadf93bea61c5bec3fc97e87 content_type: application/pdf creator: dernst date_created: 2024-11-04T08:04:44Z date_updated: 2024-11-04T08:04:44Z file_id: '18495' file_name: 2024_AstronomyAstrophysics_Goovaerts.pdf file_size: 2008461 relation: main_file success: 1 file_date_updated: 2024-11-04T08:04:44Z fulldoi: https://doi.org/10.1051/0004-6361/202451432 has_accepted_license: '1' intvolume: ' 690' isi: 1 language: - iso: eng month: '10' oa: 1 oa_version: Published Version publication: Astronomy & Astrophysics publication_identifier: eissn: - 1432-0746 issn: - 0004-6361 publication_status: published publisher: EDP Sciences quality_controlled: '1' researchdata_availability: no scopus_import: '1' status: public supplementarymaterial: yes title: Charting the Lyman-α escape fraction in the range 2.9 < z < 6.7 and consequences for the LAE reionisation contribution tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 690 year: '2024' ... --- DOAJ_listed: '1' OA_place: publisher OA_type: gold _id: '18523' abstract: - lang: eng text: "Recent observations from the EIGER JWST program have measured for the first time the quasar–galaxy cross-correlation function at z ≈ 6. The autocorrelation function of faint z ≈ 6 quasars was also recently estimated. These measurements provide key insights into the properties of quasars and galaxies at high redshift and their relation with the host dark matter haloes. In this work, we interpret these data building upon an empirical quasar population model that has been applied successfully to quasar clustering and demographic measurements at z ≈ 2–4. We use a new, large-volume N-body simulation with more than a trillion particles, FLAMINGO-10k, to model quasars and galaxies simultaneously. We successfully reproduce observations of z ≈ 6 quasars and galaxies (i.e. their clustering properties and luminosity functions), and infer key quantities such as their luminosity–halo mass relation, the mass function of their host haloes, and their duty cycle/occupation fraction. Our key findings\r\nare (i) quasars reside on average in ≈ 1012.5 M haloes (corresponding to ≈ 5σ fluctuations in the initial conditions of the linear density field), but the distribution of host halo masses is quite broad; (ii) the duty cycle of (UV-bright) quasar activity is relatively low (≈ 1 per cent); (iii) galaxies (that are bright in [O III]) live in much smaller haloes (≈ 1010.9 M) and have a larger duty cycle (occupation fraction) of ≈ 13 per cent. Finally, we focus on the inferred properties of quasars and present a homogeneous analysis of their evolution with redshift. The picture that emerges reveals a strong evolution of the host halo mass and duty cycle of quasars at z ≈ 2–6, and calls for new investigations of the role of quasar activity across cosmic time." acknowledgement: "We are grateful to Junya Arita and the SHELLQs team for sharing their data on the quasar autocorrelation function and to Jan-Torge Schindler for discussion on the QLF. We acknowledge helpful conversations with the ENIGMA group at UC Santa Barbara and Leiden University. EP is grateful to Rob McGibbon and Victor Forouhar Moreno for help with the simulation outputs, and to Timo Kist, Jiamu Huang, and Vikram Khaire for comments on an early version of the manuscript. JFH and EP acknowledge support from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement No 885301). This work is partly supported by funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 860744 (BiD4BESt). FW acknowledges support from NSF grant AST-2308258. This work used the DiRAC Memory Intensive service (Cosma8) at the University of Durham, which is part of the STFC DiRAC HPC Facility (www.dirac.ac.uk). Access to DiRAC resources was granted through a Director’s Discretionary Time allocation in 2023/24, under the auspices of the UKRI-funded\r\nDiRAC Federation Project. The equipment was funded by BEIS capital funding via STFC capital grants ST/K00042X/1, ST/P002293/1, ST/R002371/1, and ST/S002502/1, Durham University, and STFC operations grant ST/R000832/1. DiRAC is part of the National e-Infrastructure." article_processing_charge: Yes article_type: original author: - first_name: Elia full_name: Pizzati, Elia last_name: Pizzati - first_name: Joseph F. full_name: Hennawi, Joseph F. last_name: Hennawi - first_name: Joop full_name: Schaye, Joop last_name: Schaye - first_name: Matthieu full_name: Schaller, Matthieu last_name: Schaller - first_name: Anna Christina full_name: Eilers, Anna Christina last_name: Eilers - first_name: Feige full_name: Wang, Feige last_name: Wang - first_name: Carlos S. full_name: Frenk, Carlos S. last_name: Frenk - first_name: Willem full_name: Elbers, Willem last_name: Elbers - first_name: John C. full_name: Helly, John C. last_name: Helly - first_name: Ruari full_name: Mackenzie, Ruari last_name: Mackenzie - first_name: Jorryt J full_name: Matthee, Jorryt J id: 7439a258-f3c0-11ec-9501-9df22fe06720 last_name: Matthee orcid: 0000-0003-2871-127X - first_name: Rongmon full_name: Bordoloi, Rongmon last_name: Bordoloi - first_name: Daichi full_name: Kashino, Daichi last_name: Kashino - first_name: Rohan P. full_name: Naidu, Rohan P. last_name: Naidu - first_name: Minghao full_name: Yue, Minghao last_name: Yue citation: ama: Pizzati E, Hennawi JF, Schaye J, et al. A unified model for the clustering of quasars and galaxies at z ≈ 6. Monthly Notices of the Royal Astronomical Society. 2024;534(4):3155-3175. doi:10.1093/mnras/stae2307 apa: Pizzati, E., Hennawi, J. F., Schaye, J., Schaller, M., Eilers, A. C., Wang, F., … Yue, M. (2024). A unified model for the clustering of quasars and galaxies at z ≈ 6. Monthly Notices of the Royal Astronomical Society. Oxford University Press. https://doi.org/10.1093/mnras/stae2307 chicago: Pizzati, Elia, Joseph F. Hennawi, Joop Schaye, Matthieu Schaller, Anna Christina Eilers, Feige Wang, Carlos S. Frenk, et al. “A Unified Model for the Clustering of Quasars and Galaxies at z ≈ 6.” Monthly Notices of the Royal Astronomical Society. Oxford University Press, 2024. https://doi.org/10.1093/mnras/stae2307. ieee: E. Pizzati et al., “A unified model for the clustering of quasars and galaxies at z ≈ 6,” Monthly Notices of the Royal Astronomical Society, vol. 534, no. 4. Oxford University Press, pp. 3155–3175, 2024. ista: Pizzati E, Hennawi JF, Schaye J, Schaller M, Eilers AC, Wang F, Frenk CS, Elbers W, Helly JC, Mackenzie R, Matthee JJ, Bordoloi R, Kashino D, Naidu RP, Yue M. 2024. A unified model for the clustering of quasars and galaxies at z ≈ 6. Monthly Notices of the Royal Astronomical Society. 534(4), 3155–3175. mla: Pizzati, Elia, et al. “A Unified Model for the Clustering of Quasars and Galaxies at z ≈ 6.” Monthly Notices of the Royal Astronomical Society, vol. 534, no. 4, Oxford University Press, 2024, pp. 3155–75, doi:10.1093/mnras/stae2307. short: E. Pizzati, J.F. Hennawi, J. Schaye, M. Schaller, A.C. Eilers, F. Wang, C.S. Frenk, W. Elbers, J.C. Helly, R. Mackenzie, J.J. Matthee, R. Bordoloi, D. Kashino, R.P. Naidu, M. Yue, Monthly Notices of the Royal Astronomical Society 534 (2024) 3155–3175. das_tickbox: '1' dataavailabilitystatement: The derived data generated in this research will be shared on reasonable requests to the corresponding author. date_created: 2024-11-10T23:01:58Z date_published: 2024-11-01T00:00:00Z date_updated: 2026-10-15T09:35:12Z day: '01' ddc: - '520' department: - _id: JoMa doi: 10.1093/mnras/stae2307 external_id: isi: - '001335663900008' file: - access_level: open_access checksum: 9ea6285dd1d04d7a9e7b40a4c9e11edb content_type: application/pdf creator: dernst date_created: 2024-11-12T07:17:26Z date_updated: 2024-11-12T07:17:26Z file_id: '18542' file_name: 2024_MonthlyNRoyalAstronSoc_Pizzati.pdf file_size: 2954312 relation: main_file success: 1 file_date_updated: 2024-11-12T07:17:26Z fulldoi: https://doi.org/10.1093/mnras/stae2307 has_accepted_license: '1' intvolume: ' 534' isi: 1 issue: '4' language: - iso: eng month: '11' oa: 1 oa_version: Published Version page: 3155-3175 publication: Monthly Notices of the Royal Astronomical Society publication_identifier: eissn: - 1365-2966 issn: - 0035-8711 publication_status: published publisher: Oxford University Press quality_controlled: '1' researchdata_availability: upon request scopus_import: '1' status: public supplementarymaterial: yes title: A unified model for the clustering of quasars and galaxies at z ≈ 6 tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 534 year: '2024' ... --- OA_place: publisher OA_type: hybrid _id: '18527' abstract: - lang: eng text: "Context. Galaxies evolve through a dynamic exchange of material with their immediate surrounding environment, the so-called circumgalactic medium (CGM). Understanding the physics of gas flows and the nature of the CGM is fundamental to studying galaxy evolution, especially at 4 ≤ z ≤ 6 (i.e., after the Epoch of Reionization) when galaxies rapidly assembled their masses and reached their chemical maturity. Galactic outflows are predicted to enrich the CGM with metals, although it has also been suggested that gas stripping in systems undergoing a major merger may play a role.\r\n\r\nAims. In this work, we explore the metal enrichment of the medium around merging galaxies at z ∼ 4.5, observed by the ALMA Large Program to INvestigate [CII] at Early times (ALPINE). To do so, we study the nature of the [CII] 158 μm emission in the CGM around these systems, using simulations to help disentangle the mechanisms contributing to the CGM metal pollution.\r\n\r\nMethods. By adopting an updated classification of major merger systems in the ALPINE survey, we selected and analyzed merging galaxies whose components can be spatially and/or spectrally resolved in a robust way. This makes it possible to distinguish between the [CII] emission coming from the single components of the system and that coming from the system as a whole. We also made use of the dustyGadget cosmological simulation to select synthetic analogs of observed galaxies and guide the interpretation of the observational results.\r\n\r\nResults. We find a large diffuse [CII] envelope (≳20 kpc) embedding all the merging systems, with at least 25% of the total [CII] emission coming from the medium between the galaxies. Using predictions from dustyGadget, we suggest that this emission has a multi-fold nature, with dynamical interactions between galaxies playing a major role in stripping the gas and enriching the medium with heavy elements." acknowledgement: 'The authors would like to thank the anonymous referee for the useful suggestions which improved this article. This paper is based on data obtained with the ALMA Observatory, under Large Program 2017.1.00428.L. ALMA is a partnership of ESO (representing its member states), NSF (USA), and NINS (Japan), together with NRC (Canada), MOST and ASIAA (Taiwan), and KASI (Republic of Korea), in cooperation with the Republic of Chile. The Joint ALMA Observatory is operated by ESO, AUI/NRAO and NAOJ. CDC would like to thank the GESO group at the European Southern Observatory (ESO) for the useful discussions while preparing this manuscript. The simulated data underlying this article will be shared on reasonable request to the corresponding author. CDC acknowledged support from Sapienza University of Rome program “Bando per la mobilità individuale all’estero” (DR n.1607 del 14 June 2021) during the visiting period (June-November 2022) at ESO Garching, Germany. LG and RS acknowledge support from the PRIN 2022 MUR project 2022CB3PJ3 – First Light And Galaxy aSsembly (FLAGS) funded by the European Union – Next Generation EU, and from the Amaldi Research Center funded by the MIUR program “Dipartimento di Eccellenza” (CUP:B81I18001170001). MR acknowledges support from the Narodowe Centrum Nauki (UMO-2020/38/E/ST9/00077) and support from the Foundation for Polish Science (FNP) under the program START 063.2023. We have benefited from the publicly available software CASA and CARTA and programming language Python, including the numpy (https://numpy.org), matplotlib (https://matplotlib.org), scipy (https://scipy.org) and astropy (http://www.astropy.org) packages. ' article_number: A255 article_processing_charge: No article_type: original arxiv: 1 author: - first_name: Claudia full_name: Di Cesare, Claudia id: 2d002343-372f-11ef-98ec-a164d20427cb last_name: Di Cesare - first_name: M. full_name: Ginolfi, M. last_name: Ginolfi - first_name: L. full_name: Graziani, L. last_name: Graziani - first_name: R. full_name: Schneider, R. last_name: Schneider - first_name: M. full_name: Romano, M. last_name: Romano - first_name: G. full_name: Popping, G. last_name: Popping citation: ama: Di Cesare C, Ginolfi M, Graziani L, Schneider R, Romano M, Popping G. Carbon envelopes around merging galaxies at z ~ 4.5. Astronomy & Astrophysics. 2024;690. doi:10.1051/0004-6361/202449164 apa: Di Cesare, C., Ginolfi, M., Graziani, L., Schneider, R., Romano, M., & Popping, G. (2024). Carbon envelopes around merging galaxies at z ~ 4.5. Astronomy & Astrophysics. EDP Sciences. https://doi.org/10.1051/0004-6361/202449164 chicago: Di Cesare, Claudia, M. Ginolfi, L. Graziani, R. Schneider, M. Romano, and G. Popping. “Carbon Envelopes around Merging Galaxies at z ~ 4.5.” Astronomy & Astrophysics. EDP Sciences, 2024. https://doi.org/10.1051/0004-6361/202449164. ieee: C. Di Cesare, M. Ginolfi, L. Graziani, R. Schneider, M. Romano, and G. Popping, “Carbon envelopes around merging galaxies at z ~ 4.5,” Astronomy & Astrophysics, vol. 690. EDP Sciences, 2024. ista: Di Cesare C, Ginolfi M, Graziani L, Schneider R, Romano M, Popping G. 2024. Carbon envelopes around merging galaxies at z ~ 4.5. Astronomy & Astrophysics. 690, A255. mla: Di Cesare, Claudia, et al. “Carbon Envelopes around Merging Galaxies at z ~ 4.5.” Astronomy & Astrophysics, vol. 690, A255, EDP Sciences, 2024, doi:10.1051/0004-6361/202449164. short: C. Di Cesare, M. Ginolfi, L. Graziani, R. Schneider, M. Romano, G. Popping, Astronomy & Astrophysics 690 (2024). corr_author: '1' das_tickbox: '0' date_created: 2024-11-10T23:02:00Z date_published: 2024-10-01T00:00:00Z date_updated: 2026-10-15T09:35:32Z day: '01' ddc: - '520' department: - _id: JoMa doi: 10.1051/0004-6361/202449164 external_id: arxiv: - '2401.03020' isi: - '001332213700013' file: - access_level: open_access checksum: 24c65a64047aba156f39b01425269bdb content_type: application/pdf creator: dernst date_created: 2024-11-11T08:54:11Z date_updated: 2024-11-11T08:54:11Z file_id: '18533' file_name: 2024_AstronomyAstrophysics_diCesare.pdf file_size: 8033864 relation: main_file success: 1 file_date_updated: 2024-11-11T08:54:11Z fulldoi: https://doi.org/10.1051/0004-6361/202449164 has_accepted_license: '1' intvolume: ' 690' isi: 1 language: - iso: eng month: '10' oa: 1 oa_version: Published Version publication: Astronomy & Astrophysics publication_identifier: eissn: - 1432-0746 issn: - 0004-6361 publication_status: published publisher: EDP Sciences quality_controlled: '1' researchdata_availability: no scopus_import: '1' status: public supplementarymaterial: yes title: Carbon envelopes around merging galaxies at z ~ 4.5 tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 690 year: '2024' ... --- OA_place: publisher OA_type: free access _id: '18890' abstract: - lang: eng text: Deep Neural Collapse (DNC) refers to the surprisingly rigid structure of the data representations in the final layers of Deep Neural Networks (DNNs). Though the phenomenon has been measured in a variety of settings, its emergence is typically explained via data-agnostic approaches, such as the unconstrained features model. In this work, we introduce a data-dependent setting where DNC forms due to feature learning through the average gradient outer product (AGOP). The AGOP is defined with respect to a learned predictor and is equal to the uncentered covariance matrix of its input-output gradients averaged over the training dataset. The Deep Recursive Feature Machine (Deep RFM) is a method that constructs a neural network by iteratively mapping the data with the AGOP and applying an untrained random feature map. We demonstrate empirically that DNC occurs in Deep RFM across standard settings as a consequence of the projection with the AGOP matrix computed at each layer. Further, we theoretically explain DNC in Deep RFM in an asymptotic setting and as a result of kernel learning. We then provide evidence that this mechanism holds for neural networks more generally. In particular, we show that the right singular vectors and values of the weights can be responsible for the majority of within-class variability collapse for DNNs trained in the feature learning regime. As observed in recent work, this singular structure is highly correlated with that of the AGOP. acknowledgement: 'We acknowledge support from the National Science Foundation (NSF) and the Simons Foundation for the Collaboration on the Theoretical Foundations of Deep Learning through awards DMS-2031883 and #814639 as well as the TILOS institute (NSF CCF-2112665). This work used the programs (1) XSEDE (Extreme science and engineering discovery environment) which is supported by NSF grant numbers ACI-1548562, and (2) ACCESS (Advanced cyberinfrastructure coordination ecosystem: services & support) which is supported by NSF grants numbers #2138259, #2138286, #2138307, #2137603, and #2138296. Specifically, we used the resources from SDSC Expanse GPU compute nodes, and NCSA Delta system, via allocations TG-CIS220009. Marco Mondelli is supported by the 2019 Lopez-Loreta prize. We also acknowledge useful feedback from anonymous reviewers. ' alternative_title: - Advances in Neural Information Processing Systems article_processing_charge: No arxiv: 1 author: - first_name: Daniel full_name: Beaglehole, Daniel last_name: Beaglehole - first_name: Peter full_name: Súkeník, Peter id: d64d6a8d-eb8e-11eb-b029-96fd216dec3c last_name: Súkeník - first_name: Marco full_name: Mondelli, Marco id: 27EB676C-8706-11E9-9510-7717E6697425 last_name: Mondelli orcid: 0000-0002-3242-7020 - first_name: Mikhail full_name: Belkin, Mikhail last_name: Belkin citation: ama: 'Beaglehole D, Súkeník P, Mondelli M, Belkin M. Average gradient outer product as a mechanism for deep neural collapse. In: 38th Annual Conference on Neural Information Processing Systems. Vol 37. Neural Information Processing Systems Foundation; 2024. doi:10.52202/079017-4156' apa: 'Beaglehole, D., Súkeník, P., Mondelli, M., & Belkin, M. (2024). Average gradient outer product as a mechanism for deep neural collapse. In 38th Annual Conference on Neural Information Processing Systems (Vol. 37). Vancouver, Canada: Neural Information Processing Systems Foundation. https://doi.org/10.52202/079017-4156' chicago: Beaglehole, Daniel, Peter Súkeník, Marco Mondelli, and Mikhail Belkin. “Average Gradient Outer Product as a Mechanism for Deep Neural Collapse.” In 38th Annual Conference on Neural Information Processing Systems, Vol. 37. Neural Information Processing Systems Foundation, 2024. https://doi.org/10.52202/079017-4156. ieee: D. Beaglehole, P. Súkeník, M. Mondelli, and M. Belkin, “Average gradient outer product as a mechanism for deep neural collapse,” in 38th Annual Conference on Neural Information Processing Systems, Vancouver, Canada, 2024, vol. 37. ista: 'Beaglehole D, Súkeník P, Mondelli M, Belkin M. 2024. Average gradient outer product as a mechanism for deep neural collapse. 38th Annual Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems, Advances in Neural Information Processing Systems, vol. 37.' mla: Beaglehole, Daniel, et al. “Average Gradient Outer Product as a Mechanism for Deep Neural Collapse.” 38th Annual Conference on Neural Information Processing Systems, vol. 37, Neural Information Processing Systems Foundation, 2024, doi:10.52202/079017-4156. short: D. Beaglehole, P. Súkeník, M. Mondelli, M. Belkin, in:, 38th Annual Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2024. conference: end_date: 2024-12-16 location: Vancouver, Canada name: 'NeurIPS: Neural Information Processing Systems' start_date: 2024-12-16 corr_author: '1' das_tickbox: '0' date_created: 2025-01-27T11:11:40Z date_published: 2024-12-01T00:00:00Z date_updated: 2026-10-15T09:39:46Z day: '01' department: - _id: GradSch - _id: MaMo doi: 10.52202/079017-4156 external_id: arxiv: - '2402.13728' fulldoi: https://doi.org/10.52202/079017-4156 intvolume: ' 37' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.52202/079017-4156 month: '12' oa: 1 oa_version: Published Version project: - _id: 059876FA-7A3F-11EA-A408-12923DDC885E name: Prix Lopez-Loretta 2019 - Marco Mondelli publication: 38th Annual Conference on Neural Information Processing Systems publication_identifier: eissn: - 1049-5258 publication_status: published publisher: Neural Information Processing Systems Foundation quality_controlled: '1' researchdata_availability: no scopus_import: '1' status: public supplementarymaterial: no title: Average gradient outer product as a mechanism for deep neural collapse type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 37 year: '2024' ... --- OA_place: publisher OA_type: free access _id: '18875' abstract: - lang: eng text: Current state-of-the-art methods for differentially private model training are based on matrix factorization techniques. However, these methods suffer from high computational overhead because they require numerically solving a demanding optimization problem to determine an approximately optimal factorization prior to the actual model training. In this work, we present a new matrix factorization approach, BSR, which overcomes this computational bottleneck. By exploiting properties of the standard matrix square root, BSR allows to efficiently handle also large-scale problems. For the key scenario of stochastic gradient descent with momentum and weight decay, we even derive analytical expressions for BSR that render the computational overhead negligible. We prove bounds on the approximation quality that hold both in the centralized and in the federated learning setting. Our numerical experiments demonstrate that models trained using BSR perform on par with the best existing methods, while completely avoiding their computational overhead. alternative_title: - Advances in Neural Information Processing Systems article_processing_charge: No arxiv: 1 author: - first_name: Nikita full_name: Kalinin, Nikita id: 4b14526e-14d2-11ed-ba64-c14c9553d137 last_name: Kalinin - first_name: Christoph full_name: Lampert, Christoph id: 40C20FD2-F248-11E8-B48F-1D18A9856A87 last_name: Lampert orcid: 0000-0001-8622-7887 citation: ama: 'Kalinin N, Lampert C. Banded square root matrix factorization for differentially private model training. In: 38th Annual Conference on Neural Information Processing Systems. Vol 37. Neural Information Processing Systems Foundation; 2024. doi:10.52202/079017-0560' apa: 'Kalinin, N., & Lampert, C. (2024). Banded square root matrix factorization for differentially private model training. In 38th Annual Conference on Neural Information Processing Systems (Vol. 37). Vancouver, Canada: Neural Information Processing Systems Foundation. https://doi.org/10.52202/079017-0560' chicago: Kalinin, Nikita, and Christoph Lampert. “Banded Square Root Matrix Factorization for Differentially Private Model Training.” In 38th Annual Conference on Neural Information Processing Systems, Vol. 37. Neural Information Processing Systems Foundation, 2024. https://doi.org/10.52202/079017-0560. ieee: N. Kalinin and C. Lampert, “Banded square root matrix factorization for differentially private model training,” in 38th Annual Conference on Neural Information Processing Systems, Vancouver, Canada, 2024, vol. 37. ista: 'Kalinin N, Lampert C. 2024. Banded square root matrix factorization for differentially private model training. 38th Annual Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems, Advances in Neural Information Processing Systems, vol. 37.' mla: Kalinin, Nikita, and Christoph Lampert. “Banded Square Root Matrix Factorization for Differentially Private Model Training.” 38th Annual Conference on Neural Information Processing Systems, vol. 37, Neural Information Processing Systems Foundation, 2024, doi:10.52202/079017-0560. short: N. Kalinin, C. Lampert, in:, 38th Annual Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2024. conference: end_date: 2024-12-16 location: Vancouver, Canada name: 'NeurIPS: Neural Information Processing Systems' start_date: 2024-12-16 corr_author: '1' das_tickbox: '0' date_created: 2025-01-24T17:58:16Z date_published: 2024-12-01T00:00:00Z date_updated: 2026-10-15T09:38:13Z day: '01' ddc: - '000' department: - _id: GradSch - _id: ChLa doi: 10.52202/079017-0560 external_id: arxiv: - '2405.13763' fulldoi: https://doi.org/10.52202/079017-0560 has_accepted_license: '1' intvolume: ' 37' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.52202/079017-0560 month: '12' oa: 1 oa_version: Published Version publication: 38th Annual Conference on Neural Information Processing Systems publication_identifier: eissn: - 1049-5258 publication_status: published publisher: Neural Information Processing Systems Foundation quality_controlled: '1' researchdata_availability: no scopus_import: '1' status: public supplementarymaterial: no title: Banded square root matrix factorization for differentially private model training type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 37 year: '2024' ... --- DOAJ_listed: '1' OA_place: publisher OA_type: gold _id: '18760' abstract: - lang: eng text: With the remarkable sensitivity and resolution of JWST in the infrared, measuring rest-optical kinematics of galaxies at z > 5 has become possible for the first time. This study pilots a new method for measuring galaxy dynamics for highly multiplexed, unbiased samples by combining FRESCO NIRCam grism spectroscopy and JADES medium-band imaging. Here we present one of the first JWST kinematic measurements for a galaxy at z > 5. We find a significant velocity gradient, which, if interpreted as rotation, yields Vrot = 305 ± 70 km s−1, and we hence refer to this galaxy as Twister-z5. With a rest-frame optical effective radius of re = 2.25 kpc, the high rotation velocity in this galaxy is not due to a compact size, as may be expected in the early Universe, but rather to a high total mass, (math formula). This is a factor of roughly 10× higher than the stellar mass within re. We also observe that the radial Hα equivalent width profile and the specific star formation rate map from resolved stellar population modeling are centrally depressed by a factor of ∼1.5 from the center to re. Combined with the morphology of the line-emitting gas in comparison to the continuum, this centrally suppressed star formation is consistent with a star-forming disk surrounding a bulge growing inside out. While large, rapidly rotating disks are common to z ∼ 2, the existence of one after only 1 Gyr of cosmic time, shown for the first time in ionized gas, adds to the growing evidence that some galaxies matured earlier than expected in the history of the Universe. acknowledgement: We thank the reviewer and editorial staff for their excellent feedback and effort—the manuscript is much stronger as a result. Support for this work was provided by NASA through grant JWST-GO-01895 awarded by the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NAS 5-26555. H.Ü. gratefully acknowledges support by the Isaac Newton Trust and by the Kavli Foundation through a Newton-Kavli Junior Fellowship. This work has received funding from the Swiss State Secretariat for Education, Research and Innovation (SERI) under contract No. MB22.00072, as well as from the Swiss National Science Foundation (SNSF) through project grant 200020_207349. The Cosmic Dawn Center (DAWN) is funded by the Danish National Research Foundation under grant No. 140. R.S. acknowledges an STFC Ernest Rutherford Fellowship (ST/S004831/1). R.P.N. acknowledges support for this work provided by NASA through the NASA Hubble Fellowship grant HST-HF2-51515.001-A awarded by the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NAS5-26555. M.V.M. acknowledges support from the National Science Foundation via AAG grant 2205519 and the Wisconsin Alumni Research Foundation via grant MSN251397. R.M. also acknowledges funding from a research professorship from the Royal Society. A.J.B., A.J.C., and G.C.J. acknowledge funding from the "FirstGalaxies" Advanced Grant from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (grant agreement No. 789056). I.L. acknowledges support by the Australian Research Council through Future Fellowship FT220100798. D.J.E. is supported as a Simons Investigator and by a JWST/NIRCam contract to the University of Arizona, NAS5-02015. R.M., J.W., L.S., and W.B. acknowledge support by the Science and Technology Facilities Council (STFC), the ERC through advanced grant 695671 "QUENCH," and the UKRI Frontier Research grant RISEandFALL. B.E.R. acknowledges support from the NIRCam Science Team contract to the University of Arizona, NAS5-02015. The research of C.C.W. is supported by NOIRLab, which is managed by the Association of Universities for Research in Astronomy (AURA) under a cooperative agreement with the National Science Foundation. The HST and JWST image mosaics of the FRESCO fields are released at MAST as a High Level Science Product (P. Oesch & D. Magee 2023). article_number: L27 article_processing_charge: Yes article_type: letter_note arxiv: 1 author: - first_name: Erica full_name: Nelson, Erica last_name: Nelson - first_name: Gabriel full_name: Brammer, Gabriel last_name: Brammer - first_name: Clara full_name: Giménez-Arteaga, Clara last_name: Giménez-Arteaga - first_name: Pascal A. full_name: Oesch, Pascal A. last_name: Oesch - first_name: Rohan P. full_name: Naidu, Rohan P. last_name: Naidu - first_name: Hannah full_name: Übler, Hannah last_name: Übler - first_name: Jasleen full_name: Matharu, Jasleen last_name: Matharu - first_name: Alice E. full_name: Shapley, Alice E. last_name: Shapley - first_name: Katherine E. full_name: Whitaker, Katherine E. last_name: Whitaker - first_name: Emily full_name: Wisnioski, Emily last_name: Wisnioski - first_name: Natascha M. full_name: Förster Schreiber, Natascha M. last_name: Förster Schreiber - first_name: Renske full_name: Smit, Renske last_name: Smit - first_name: Pieter full_name: Van Dokkum, Pieter last_name: Van Dokkum - first_name: John full_name: Chisholm, John last_name: Chisholm - first_name: Ryan full_name: Endsley, Ryan last_name: Endsley - first_name: Abigail I. full_name: Hartley, Abigail I. last_name: Hartley - first_name: Justus full_name: Gibson, Justus last_name: Gibson - first_name: Emma full_name: Giovinazzo, Emma last_name: Giovinazzo - first_name: Garth full_name: Illingworth, Garth last_name: Illingworth - first_name: Ivo full_name: Labbe, Ivo last_name: Labbe - first_name: Michael V. full_name: Maseda, Michael V. last_name: Maseda - first_name: Jorryt J full_name: Matthee, Jorryt J id: 7439a258-f3c0-11ec-9501-9df22fe06720 last_name: Matthee orcid: 0000-0003-2871-127X - first_name: Alba full_name: Covelo Paz, Alba last_name: Covelo Paz - first_name: Sedona H. full_name: Price, Sedona H. last_name: Price - first_name: Naveen A. full_name: Reddy, Naveen A. last_name: Reddy - first_name: Irene full_name: Shivaei, Irene last_name: Shivaei - first_name: Andrea full_name: Weibel, Andrea last_name: Weibel - first_name: Stijn full_name: Wuyts, Stijn last_name: Wuyts - first_name: Mengyuan full_name: Xiao, Mengyuan last_name: Xiao - first_name: Stacey full_name: Alberts, Stacey last_name: Alberts - first_name: William M. full_name: Baker, William M. last_name: Baker - first_name: Andrew J. full_name: Bunker, Andrew J. last_name: Bunker - first_name: Alex J. full_name: Cameron, Alex J. last_name: Cameron - first_name: Stephane full_name: Charlot, Stephane last_name: Charlot - first_name: Daniel J. full_name: Eisenstein, Daniel J. last_name: Eisenstein - first_name: Anna full_name: De Graaff, Anna last_name: De Graaff - first_name: Zhiyuan full_name: Ji, Zhiyuan last_name: Ji - first_name: Benjamin D. full_name: Johnson, Benjamin D. last_name: Johnson - first_name: Gareth C. full_name: Jones, Gareth C. last_name: Jones - first_name: Roberto full_name: Maiolino, Roberto last_name: Maiolino - first_name: Brant full_name: Robertson, Brant last_name: Robertson - first_name: Lester full_name: Sandles, Lester last_name: Sandles - first_name: Katherine A. full_name: Suess, Katherine A. last_name: Suess - first_name: Sandro full_name: Tacchella, Sandro last_name: Tacchella - first_name: Christina C. full_name: Williams, Christina C. last_name: Williams - first_name: Joris full_name: Witstok, Joris last_name: Witstok citation: ama: 'Nelson E, Brammer G, Giménez-Arteaga C, et al. Ionized gas kinematics with FRESCO: An extended, massive, rapidly rotating galaxy at z = 5.4. Astrophysical Journal Letters. 2024;976(2). doi:10.3847/2041-8213/ad7b17' apa: 'Nelson, E., Brammer, G., Giménez-Arteaga, C., Oesch, P. A., Naidu, R. P., Übler, H., … Witstok, J. (2024). Ionized gas kinematics with FRESCO: An extended, massive, rapidly rotating galaxy at z = 5.4. Astrophysical Journal Letters. IOP Publishing. https://doi.org/10.3847/2041-8213/ad7b17' chicago: 'Nelson, Erica, Gabriel Brammer, Clara Giménez-Arteaga, Pascal A. Oesch, Rohan P. Naidu, Hannah Übler, Jasleen Matharu, et al. “Ionized Gas Kinematics with FRESCO: An Extended, Massive, Rapidly Rotating Galaxy at z = 5.4.” Astrophysical Journal Letters. IOP Publishing, 2024. https://doi.org/10.3847/2041-8213/ad7b17.' ieee: 'E. Nelson et al., “Ionized gas kinematics with FRESCO: An extended, massive, rapidly rotating galaxy at z = 5.4,” Astrophysical Journal Letters, vol. 976, no. 2. IOP Publishing, 2024.' ista: 'Nelson E, Brammer G, Giménez-Arteaga C, Oesch PA, Naidu RP, Übler H, Matharu J, Shapley AE, Whitaker KE, Wisnioski E, Förster Schreiber NM, Smit R, Van Dokkum P, Chisholm J, Endsley R, Hartley AI, Gibson J, Giovinazzo E, Illingworth G, Labbe I, Maseda MV, Matthee JJ, Covelo Paz A, Price SH, Reddy NA, Shivaei I, Weibel A, Wuyts S, Xiao M, Alberts S, Baker WM, Bunker AJ, Cameron AJ, Charlot S, Eisenstein DJ, De Graaff A, Ji Z, Johnson BD, Jones GC, Maiolino R, Robertson B, Sandles L, Suess KA, Tacchella S, Williams CC, Witstok J. 2024. Ionized gas kinematics with FRESCO: An extended, massive, rapidly rotating galaxy at z = 5.4. Astrophysical Journal Letters. 976(2), L27.' mla: 'Nelson, Erica, et al. “Ionized Gas Kinematics with FRESCO: An Extended, Massive, Rapidly Rotating Galaxy at z = 5.4.” Astrophysical Journal Letters, vol. 976, no. 2, L27, IOP Publishing, 2024, doi:10.3847/2041-8213/ad7b17.' short: E. Nelson, G. Brammer, C. Giménez-Arteaga, P.A. Oesch, R.P. Naidu, H. Übler, J. Matharu, A.E. Shapley, K.E. Whitaker, E. Wisnioski, N.M. Förster Schreiber, R. Smit, P. Van Dokkum, J. Chisholm, R. Endsley, A.I. Hartley, J. Gibson, E. Giovinazzo, G. Illingworth, I. Labbe, M.V. Maseda, J.J. Matthee, A. Covelo Paz, S.H. Price, N.A. Reddy, I. Shivaei, A. Weibel, S. Wuyts, M. Xiao, S. Alberts, W.M. Baker, A.J. Bunker, A.J. Cameron, S. Charlot, D.J. Eisenstein, A. De Graaff, Z. Ji, B.D. Johnson, G.C. Jones, R. Maiolino, B. Robertson, L. Sandles, K.A. Suess, S. Tacchella, C.C. Williams, J. Witstok, Astrophysical Journal Letters 976 (2024). das_tickbox: '0' date_created: 2025-01-05T23:01:58Z date_published: 2024-12-01T00:00:00Z date_updated: 2026-10-15T09:41:31Z day: '01' ddc: - '520' department: - _id: JoMa doi: 10.3847/2041-8213/ad7b17 external_id: arxiv: - '2310.06887' isi: - '001364636000001' file: - access_level: open_access checksum: 5c7320196586b4340e55f215d8737185 content_type: application/pdf creator: dernst date_created: 2025-01-08T08:18:39Z date_updated: 2025-01-08T08:18:39Z file_id: '18771' file_name: 2024_AstrophysicalJour_Nelson.pdf file_size: 1822989 relation: main_file success: 1 file_date_updated: 2025-01-08T08:18:39Z fulldoi: https://doi.org/10.3847/2041-8213/ad7b17 has_accepted_license: '1' intvolume: ' 976' isi: 1 issue: '2' language: - iso: eng month: '12' oa: 1 oa_version: Published Version publication: Astrophysical Journal Letters publication_identifier: eissn: - 2041-8213 issn: - 2041-8205 publication_status: published publisher: IOP Publishing quality_controlled: '1' researchdata_availability: no scopus_import: '1' status: public supplementarymaterial: no title: 'Ionized gas kinematics with FRESCO: An extended, massive, rapidly rotating galaxy at z = 5.4' tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 976 year: '2024' ... --- DOAJ_listed: '1' OA_place: publisher OA_type: gold _id: '18584' abstract: - lang: eng text: In this paper, we describe the "Medium Bands, Mega Science" JWST Cycle 2 survey (JWST-GO-4111) and demonstrate the power of these data to reveal both the spatially integrated and spatially resolved properties of galaxies from the local Universe to the era of cosmic dawn. Executed in 2023 November, MegaScience obtained ∼30 arcmin2 of deep multiband NIRCam imaging centered on the z ∼ 0.3 A2744 cluster, including 11 medium-band filters and the two shortest-wavelength broadband filters, F070W and F090W. Together, MegaScience and the UNCOVER Cycle 1 treasury program provide a complete set of deep (∼28–30 magAB) images in all NIRCam medium- and broadband filters. This unique data set allows us to precisely constrain photometric redshifts, map stellar populations and dust attenuation for large samples of distant galaxies, and examine the connection between galaxy structures and formation histories. MegaScience also includes ∼17 arcmin2 of NIRISS parallel imaging in two broadband and four medium-band filters from 0.9 to 4.8 μm, expanding the footprint where robust spectral energy distribution (SED) fitting is possible. We provide example SEDs and multiband cutouts at a variety of redshifts, and use a catalog of JWST spectroscopic redshifts to show that MegaScience improves both the scatter and catastrophic outlier rate of photometric redshifts by factors of 2–3. Additionally, we demonstrate the spatially resolved science enabled by MegaScience by presenting maps of the [O iii] line emission and continuum emission in three spectroscopically confirmed z > 6 galaxies. We show that line emission in reionization-era galaxies can be clumpy, extended, and spatially offset from continuum emission, implying that galaxy assembly histories are complex even at these early epochs. We publicly release fully reduced mosaics and photometric catalogs for both the NIRCam primary and NIRISS parallel fields (jwst-uncover.github.io/megascience). acknowledgement: "K.A.S. thanks Shelly Meyett, the MegaScience Program Coordinator, for invaluable assistance designing WOPR 88967 and ensuring that this program was fully observed. This proposal was conceived of and developed at the International Space Science Institute (ISSI) in Bern, through ISSI International Team project #562. This work is based on observations made with the NASA/ESA/CSA James Webb Space Telescope. The raw data were obtained from the Mikulski Archive for Space Telescopes at the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NAS 5-03127 for JWST. These observations are associated with JWST Cycle 2 GO program #4111, and this project has gratefully made use of a large number of public JWST programs in the A2744 field including JWST-GO-2641, JWST-ERS-1324, JWST-DD-2756, JWST-GO-2883, JWST-GO-3538, and JWST-GO-3516. Support for program JWST-GO-4111 was provided by NASA through a grant from the Space Telescope Science Institute, which is operated by the Associations of Universities for Research in Astronomy, Incorporated, under NASA contract NAS5-26555.\r\n\r\nThe Cosmic Dawn Center is funded by the Danish National Research Foundation (DNRF) under grant #140. P.D. acknowledges support from the NWO grant 016.VIDI.189.162 (\"ODIN\") and warmly thanks the European Commission's and University of Groningen's CO-FUND Rosalind Franklin program. This work has received funding from the Swiss State Secretariat for Education, Research and Innovation (SERI) under contract number MB22.00072, as well as from the Swiss National Science Foundation (SNSF) through project grant 200020_207349. The work of C.C.W. is supported by NOIRLab, which is managed by the Association of Universities for Research in Astronomy (AURA) under a cooperative agreement with the National Science Foundation. T.B.M. was supported by a CIERA Fellowship. H.A. is supported by CNES, focused on the JWST mission, and by the Programme National Cosmology and Galaxies (PNCG) of CNRS/INSU with INP and IN2P3, co-funded by CEA and CNES. The BGU lensing group acknowledges support by grant No. 2020750 from the United States–Israel Binational Science Foundation (BSF) and grant No. 2109066 from the United States National Science Foundation (NSF); by the Ministry of Science & Technology, Israel; and by the Israel Science Foundation grant No. 864/23. Y.F. acknowledges support from JSPS KAKENHI grant No. JP22K21349 and JP23K13149. R.P. and D.M. acknowledge funding from JWST-GO-02561.013 and JWST-GO-04111.035." article_number: '101' article_processing_charge: Yes article_type: original arxiv: 1 author: - first_name: Katherine A. full_name: Suess, Katherine A. last_name: Suess - first_name: John R. full_name: Weaver, John R. last_name: Weaver - first_name: Sedona H. full_name: Price, Sedona H. last_name: Price - first_name: Richard full_name: Pan, Richard last_name: Pan - first_name: Bingjie full_name: Wang, Bingjie last_name: Wang - first_name: Rachel full_name: Bezanson, Rachel last_name: Bezanson - first_name: Gabriel full_name: Brammer, Gabriel last_name: Brammer - first_name: Sam E. full_name: Cutler, Sam E. last_name: Cutler - first_name: Ivo full_name: Labbé, Ivo last_name: Labbé - first_name: Joel full_name: Leja, Joel last_name: Leja - first_name: Christina C. full_name: Williams, Christina C. last_name: Williams - first_name: Katherine E. full_name: Whitaker, Katherine E. last_name: Whitaker - first_name: Hakim full_name: Atek, Hakim last_name: Atek - first_name: Pratika full_name: Dayal, Pratika last_name: Dayal - first_name: Anna full_name: De Graaff, Anna last_name: De Graaff - first_name: Robert full_name: Feldmann, Robert last_name: Feldmann - first_name: Marijn full_name: Franx, Marijn last_name: Franx - first_name: Yoshinobu full_name: Fudamoto, Yoshinobu last_name: Fudamoto - first_name: Seiji full_name: Fujimoto, Seiji last_name: Fujimoto - first_name: Lukas J. full_name: Furtak, Lukas J. last_name: Furtak - first_name: Andy D. full_name: Goulding, Andy D. last_name: Goulding - first_name: Jenny E. full_name: Greene, Jenny E. last_name: Greene - first_name: Gourav full_name: Khullar, Gourav last_name: Khullar - first_name: Vasily full_name: Kokorev, Vasily last_name: Kokorev - first_name: Mariska full_name: Kriek, Mariska last_name: Kriek - first_name: Brian full_name: Lorenz, Brian last_name: Lorenz - first_name: Danilo full_name: Marchesini, Danilo last_name: Marchesini - first_name: Michael V. full_name: Maseda, Michael V. last_name: Maseda - first_name: Jorryt J full_name: Matthee, Jorryt J id: 7439a258-f3c0-11ec-9501-9df22fe06720 last_name: Matthee orcid: 0000-0003-2871-127X - first_name: Tim B. full_name: Miller, Tim B. last_name: Miller - first_name: Ikki full_name: Mitsuhashi, Ikki last_name: Mitsuhashi - first_name: Lamiya A. full_name: Mowla, Lamiya A. last_name: Mowla - first_name: Adam full_name: Muzzin, Adam last_name: Muzzin - first_name: Rohan P. full_name: Naidu, Rohan P. last_name: Naidu - first_name: Themiya full_name: Nanayakkara, Themiya last_name: Nanayakkara - first_name: Erica J. full_name: Nelson, Erica J. last_name: Nelson - first_name: Pascal A. full_name: Oesch, Pascal A. last_name: Oesch - first_name: David J. full_name: Setton, David J. last_name: Setton - first_name: Heath full_name: Shipley, Heath last_name: Shipley - first_name: Renske full_name: Smit, Renske last_name: Smit - first_name: Justin S. full_name: Spilker, Justin S. last_name: Spilker - first_name: Pieter full_name: Van Dokkum, Pieter last_name: Van Dokkum - first_name: Adi full_name: Zitrin, Adi last_name: Zitrin citation: ama: 'Suess KA, Weaver JR, Price SH, et al. Medium bands, mega science: A JWST/NIRCam medium-band imaging survey of A2744. Astrophysical Journal. 2024;976(1). doi:10.3847/1538-4357/ad75fe' apa: 'Suess, K. A., Weaver, J. R., Price, S. H., Pan, R., Wang, B., Bezanson, R., … Zitrin, A. (2024). Medium bands, mega science: A JWST/NIRCam medium-band imaging survey of A2744. Astrophysical Journal. IOP Publishing. https://doi.org/10.3847/1538-4357/ad75fe' chicago: 'Suess, Katherine A., John R. Weaver, Sedona H. Price, Richard Pan, Bingjie Wang, Rachel Bezanson, Gabriel Brammer, et al. “Medium Bands, Mega Science: A JWST/NIRCam Medium-Band Imaging Survey of A2744.” Astrophysical Journal. IOP Publishing, 2024. https://doi.org/10.3847/1538-4357/ad75fe.' ieee: 'K. A. Suess et al., “Medium bands, mega science: A JWST/NIRCam medium-band imaging survey of A2744,” Astrophysical Journal, vol. 976, no. 1. IOP Publishing, 2024.' ista: 'Suess KA, Weaver JR, Price SH, Pan R, Wang B, Bezanson R, Brammer G, Cutler SE, Labbé I, Leja J, Williams CC, Whitaker KE, Atek H, Dayal P, De Graaff A, Feldmann R, Franx M, Fudamoto Y, Fujimoto S, Furtak LJ, Goulding AD, Greene JE, Khullar G, Kokorev V, Kriek M, Lorenz B, Marchesini D, Maseda MV, Matthee JJ, Miller TB, Mitsuhashi I, Mowla LA, Muzzin A, Naidu RP, Nanayakkara T, Nelson EJ, Oesch PA, Setton DJ, Shipley H, Smit R, Spilker JS, Van Dokkum P, Zitrin A. 2024. Medium bands, mega science: A JWST/NIRCam medium-band imaging survey of A2744. Astrophysical Journal. 976(1), 101.' mla: 'Suess, Katherine A., et al. “Medium Bands, Mega Science: A JWST/NIRCam Medium-Band Imaging Survey of A2744.” Astrophysical Journal, vol. 976, no. 1, 101, IOP Publishing, 2024, doi:10.3847/1538-4357/ad75fe.' short: K.A. Suess, J.R. Weaver, S.H. Price, R. Pan, B. Wang, R. Bezanson, G. Brammer, S.E. Cutler, I. Labbé, J. Leja, C.C. Williams, K.E. Whitaker, H. Atek, P. Dayal, A. De Graaff, R. Feldmann, M. Franx, Y. Fudamoto, S. Fujimoto, L.J. Furtak, A.D. Goulding, J.E. Greene, G. Khullar, V. Kokorev, M. Kriek, B. Lorenz, D. Marchesini, M.V. Maseda, J.J. Matthee, T.B. Miller, I. Mitsuhashi, L.A. Mowla, A. Muzzin, R.P. Naidu, T. Nanayakkara, E.J. Nelson, P.A. Oesch, D.J. Setton, H. Shipley, R. Smit, J.S. Spilker, P. Van Dokkum, A. Zitrin, Astrophysical Journal 976 (2024). das_tickbox: '0' date_created: 2024-11-24T23:01:48Z date_published: 2024-11-14T00:00:00Z date_updated: 2026-10-15T09:41:08Z day: '14' ddc: - '520' department: - _id: JoMa doi: 10.3847/1538-4357/ad75fe external_id: arxiv: - '2404.13132' isi: - '001355710500001' file: - access_level: open_access checksum: dcd854acee73ce998d70a4ce634ead6d content_type: application/pdf creator: dernst date_created: 2024-12-10T08:18:53Z date_updated: 2024-12-10T08:18:53Z file_id: '18640' file_name: 2024_AstrophysicalJournal_Suess.pdf file_size: 13352667 relation: main_file success: 1 file_date_updated: 2024-12-10T08:18:53Z fulldoi: https://doi.org/10.3847/1538-4357/ad75fe has_accepted_license: '1' intvolume: ' 976' isi: 1 issue: '1' language: - iso: eng month: '11' oa: 1 oa_version: Published Version publication: Astrophysical Journal publication_identifier: eissn: - 1538-4357 issn: - 0004-637X publication_status: published publisher: IOP Publishing quality_controlled: '1' researchdata_availability: yes scopus_import: '1' status: public supplementarymaterial: yes title: 'Medium bands, mega science: A JWST/NIRCam medium-band imaging survey of A2744' tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 976 year: '2024' ... --- OA_place: repository OA_type: green _id: '18996' abstract: - lang: eng text: 'We consider the linear causal representation learning setting where we observe a linear mixing of d unknown latent factors, which follow a linear structural causal model. Recent work has shown that it is possible to recover the latent factors as well as the underlying structural causal model over them, up to permutation and scaling, provided that we have at least d environments, each of which corresponds to perfect interventions on a single latent node (factor). After this powerful result, a key open problem faced by the community has been to relax these conditions: allow for coarser than perfect single-node interventions, and allow for fewer than d of them, since the number of latent factors d could be very large. In this work, we consider precisely such a setting, where we allow a smaller than d number of environments, and also allow for very coarse interventions that can very coarsely \textit{change the entire causal graph over the latent factors}. On the flip side, we relax what we wish to extract to simply the \textit{list of nodes that have shifted between one or more environments}. We provide a surprising identifiability result that it is indeed possible, under some very mild standard assumptions, to identify the set of shifted nodes. Our identifiability proof moreover is a constructive one: we explicitly provide necessary and sufficient conditions for a node to be a shifted node, and show that we can check these conditions given observed data. Our algorithm lends itself very naturally to the sample setting where instead of just interventional distributions, we are provided datasets of samples from each of these distributions. We corroborate our results on both synthetic experiments as well as an interesting psychometric dataset. The code can be found at https://github.com/TianyuCodings/iLCS.' alternative_title: - Advances in Neural Information Processing Systems article_processing_charge: No arxiv: 1 author: - first_name: Tianyu full_name: Chen, Tianyu last_name: Chen - first_name: Kevin full_name: Bello, Kevin last_name: Bello - first_name: Francesco full_name: Locatello, Francesco id: 26cfd52f-2483-11ee-8040-88983bcc06d4 last_name: Locatello orcid: 0000-0002-4850-0683 - first_name: Bryon full_name: Aragam, Bryon last_name: Aragam - first_name: Pradeep Kumar full_name: Ravikumar, Pradeep Kumar last_name: Ravikumar citation: ama: 'Chen T, Bello K, Locatello F, Aragam B, Ravikumar PK. Identifying general mechanism shifts in linear causal representations. In: 38th Conference on Neural Information Processing Systems. Vol 37. Neural Information Processing Systems Foundation; 2024. doi:10.52202/079017-1343' apa: 'Chen, T., Bello, K., Locatello, F., Aragam, B., & Ravikumar, P. K. (2024). Identifying general mechanism shifts in linear causal representations. In 38th Conference on Neural Information Processing Systems (Vol. 37). Vancouver, Canada: Neural Information Processing Systems Foundation. https://doi.org/10.52202/079017-1343' chicago: Chen, Tianyu, Kevin Bello, Francesco Locatello, Bryon Aragam, and Pradeep Kumar Ravikumar. “Identifying General Mechanism Shifts in Linear Causal Representations.” In 38th Conference on Neural Information Processing Systems, Vol. 37. Neural Information Processing Systems Foundation, 2024. https://doi.org/10.52202/079017-1343. ieee: T. Chen, K. Bello, F. Locatello, B. Aragam, and P. K. Ravikumar, “Identifying general mechanism shifts in linear causal representations,” in 38th Conference on Neural Information Processing Systems, Vancouver, Canada, 2024, vol. 37. ista: 'Chen T, Bello K, Locatello F, Aragam B, Ravikumar PK. 2024. Identifying general mechanism shifts in linear causal representations. 38th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems, Advances in Neural Information Processing Systems, vol. 37.' mla: Chen, Tianyu, et al. “Identifying General Mechanism Shifts in Linear Causal Representations.” 38th Conference on Neural Information Processing Systems, vol. 37, Neural Information Processing Systems Foundation, 2024, doi:10.52202/079017-1343. short: T. Chen, K. Bello, F. Locatello, B. Aragam, P.K. Ravikumar, in:, 38th Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2024. conference: end_date: 2024-12-16 location: Vancouver, Canada name: 'NeurIPS: Neural Information Processing Systems' start_date: 2024-12-16 das_tickbox: '0' date_created: 2025-02-04T13:09:34Z date_published: 2024-09-25T00:00:00Z date_updated: 2026-10-15T09:44:18Z day: '25' ddc: - '000' department: - _id: FrLo doi: 10.52202/079017-1343 external_id: arxiv: - '2410.24059' file: - access_level: open_access checksum: 75c3091e70bd2916cd94afbf40a0c425 content_type: application/pdf creator: dernst date_created: 2025-02-04T13:09:08Z date_updated: 2025-02-04T13:09:08Z file_id: '18997' file_name: 2024_NeurIPS_Chen.pdf file_size: 5659119 relation: main_file success: 1 file_date_updated: 2025-02-04T13:09:08Z fulldoi: https://doi.org/10.52202/079017-1343 has_accepted_license: '1' intvolume: ' 37' language: - iso: eng month: '09' oa: 1 oa_version: Published Version publication: 38th Conference on Neural Information Processing Systems publication_identifier: eissn: - 1049-5258 publication_status: published publisher: Neural Information Processing Systems Foundation quality_controlled: '1' researchdata_availability: no scopus_import: '1' status: public supplementarymaterial: no title: Identifying general mechanism shifts in linear causal representations tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 37 year: '2024' ... --- _id: '14451' abstract: - lang: eng text: 'We investigate the potential of Multi-Objective, Deep Reinforcement Learning for stock and cryptocurrency single-asset trading: in particular, we consider a Multi-Objective algorithm which generalizes the reward functions and discount factor (i.e., these components are not specified a priori, but incorporated in the learning process). Firstly, using several important assets (BTCUSD, ETHUSDT, XRPUSDT, AAPL, SPY, NIFTY50), we verify the reward generalization property of the proposed Multi-Objective algorithm, and provide preliminary statistical evidence showing increased predictive stability over the corresponding Single-Objective strategy. Secondly, we show that the Multi-Objective algorithm has a clear edge over the corresponding Single-Objective strategy when the reward mechanism is sparse (i.e., when non-null feedback is infrequent over time). Finally, we discuss the generalization properties with respect to the discount factor. The entirety of our code is provided in open-source format.' acknowledgement: Open access funding provided by Università degli Studi di Trieste within the CRUI-CARE Agreement. Funding was provided by Austrian Science Fund (Grant No. F65), Horizon 2020 (Grant No. 754411) and Österreichische Forschungsförderungsgesellschaft. article_processing_charge: Yes (via OA deal) article_type: original arxiv: 1 author: - first_name: Federico full_name: Cornalba, Federico id: 2CEB641C-A400-11E9-A717-D712E6697425 last_name: Cornalba orcid: 0000-0002-6269-5149 - first_name: Constantin full_name: Disselkamp, Constantin last_name: Disselkamp - first_name: Davide full_name: Scassola, Davide last_name: Scassola - first_name: Christopher full_name: Helf, Christopher last_name: Helf citation: ama: 'Cornalba F, Disselkamp C, Scassola D, Helf C. Multi-objective reward generalization: Improving performance of Deep Reinforcement Learning for applications in single-asset trading. Neural Computing and Applications. 2024;36(2):617-637. doi:10.1007/s00521-023-09033-7' apa: 'Cornalba, F., Disselkamp, C., Scassola, D., & Helf, C. (2024). Multi-objective reward generalization: Improving performance of Deep Reinforcement Learning for applications in single-asset trading. Neural Computing and Applications. Springer Nature. https://doi.org/10.1007/s00521-023-09033-7' chicago: 'Cornalba, Federico, Constantin Disselkamp, Davide Scassola, and Christopher Helf. “Multi-Objective Reward Generalization: Improving Performance of Deep Reinforcement Learning for Applications in Single-Asset Trading.” Neural Computing and Applications. Springer Nature, 2024. https://doi.org/10.1007/s00521-023-09033-7.' ieee: 'F. Cornalba, C. Disselkamp, D. Scassola, and C. Helf, “Multi-objective reward generalization: Improving performance of Deep Reinforcement Learning for applications in single-asset trading,” Neural Computing and Applications, vol. 36, no. 2. Springer Nature, pp. 617–637, 2024.' ista: 'Cornalba F, Disselkamp C, Scassola D, Helf C. 2024. Multi-objective reward generalization: Improving performance of Deep Reinforcement Learning for applications in single-asset trading. Neural Computing and Applications. 36(2), 617–637.' mla: 'Cornalba, Federico, et al. “Multi-Objective Reward Generalization: Improving Performance of Deep Reinforcement Learning for Applications in Single-Asset Trading.” Neural Computing and Applications, vol. 36, no. 2, Springer Nature, 2024, pp. 617–37, doi:10.1007/s00521-023-09033-7.' short: F. Cornalba, C. Disselkamp, D. Scassola, C. Helf, Neural Computing and Applications 36 (2024) 617–637. corr_author: '1' das_tickbox: '1' dataavailabilitystatement: All datasets and the entire source code used in this paper are available in open-source format at the repository https://github.com/trality/fire . In particular, the instructions for reproducibility are contained in the README.md file therein. date_created: 2023-10-22T22:01:16Z date_published: 2024-01-01T00:00:00Z date_updated: 2026-10-15T09:42:15Z day: '01' ddc: - '000' department: - _id: JuFi doi: 10.1007/s00521-023-09033-7 ec_funded: 1 external_id: arxiv: - '2203.04579' pmid: - '38187995' file: - access_level: open_access checksum: 04573d8e74c6119b97c2ca0a984e19a1 content_type: application/pdf creator: dernst date_created: 2024-07-16T08:08:54Z date_updated: 2024-07-16T08:08:54Z file_id: '17251' file_name: 2024_NeuralCompApplications_Cornalba.pdf file_size: 4412285 relation: main_file success: 1 file_date_updated: 2024-07-16T08:08:54Z fulldoi: https://doi.org/10.1007/s00521-023-09033-7 has_accepted_license: '1' intvolume: ' 36' issue: '2' language: - iso: eng month: '01' oa: 1 oa_version: Published Version page: 617-637 pmid: 1 project: - _id: fc31cba2-9c52-11eb-aca3-ff467d239cd2 grant_number: F6504 name: Taming Complexity in Partial Differential Systems - _id: 260C2330-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '754411' name: ISTplus - Postdoctoral Fellowships publication: Neural Computing and Applications publication_identifier: eissn: - 1433-3058 issn: - 0941-0643 publication_status: published publisher: Springer Nature quality_controlled: '1' researchdata_availability: yes scopus_import: '1' status: public supplementarymaterial: no title: 'Multi-objective reward generalization: Improving performance of Deep Reinforcement Learning for applications in single-asset trading' tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 36 year: '2024' ... --- _id: '17887' abstract: - lang: eng text: We show convergence of the Navier-Stokes/Allen-Cahn system to a classical sharp interface model for the two-phase flow of two viscous incompressible fluids with same viscosities in a smooth bounded domain in two and three space dimensions as long as a smooth solution of the limit system exists. Moreover, we obtain error estimates with the aid of a relative entropy method. Our results hold provided that the mobility mε>0 in the Allen-Cahn equation tends to zero in a subcritical way, i.e., mε=m0εβ for some β∈(0,2) and m0>0 . The proof proceeds by showing via a relative entropy argument that the solution to the Navier-Stokes/Allen-Cahn system remains close to the solution of a perturbed version of the two-phase flow problem, augmented by an extra mean curvature flow term mεHΓt in the interface motion. In a second step, it is easy to see that the solution to the perturbed problem is close to the original two-phase flow. acknowledgement: "J. Fischer and M. Moser have received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 948819).\r\nOpen Access funding enabled and organized by Projekt DEAL." article_number: '77' article_processing_charge: Yes (via OA deal) article_type: original arxiv: 1 author: - first_name: Helmut full_name: Abels, Helmut last_name: Abels - first_name: Julian L full_name: Fischer, Julian L id: 2C12A0B0-F248-11E8-B48F-1D18A9856A87 last_name: Fischer orcid: 0000-0002-0479-558X - first_name: Maximilian full_name: Moser, Maximilian id: a60047a9-da77-11eb-85b4-c4dc385ebb8c last_name: Moser citation: ama: Abels H, Fischer JL, Moser M. Approximation of classical two-phase flows of viscous incompressible fluids by a Navier–Stokes/Allen–Cahn system. Archive for Rational Mechanics and Analysis. 2024;248(5). doi:10.1007/s00205-024-02020-9 apa: Abels, H., Fischer, J. L., & Moser, M. (2024). Approximation of classical two-phase flows of viscous incompressible fluids by a Navier–Stokes/Allen–Cahn system. Archive for Rational Mechanics and Analysis. Springer Nature. https://doi.org/10.1007/s00205-024-02020-9 chicago: Abels, Helmut, Julian L Fischer, and Maximilian Moser. “Approximation of Classical Two-Phase Flows of Viscous Incompressible Fluids by a Navier–Stokes/Allen–Cahn System.” Archive for Rational Mechanics and Analysis. Springer Nature, 2024. https://doi.org/10.1007/s00205-024-02020-9. ieee: H. Abels, J. L. Fischer, and M. Moser, “Approximation of classical two-phase flows of viscous incompressible fluids by a Navier–Stokes/Allen–Cahn system,” Archive for Rational Mechanics and Analysis, vol. 248, no. 5. Springer Nature, 2024. ista: Abels H, Fischer JL, Moser M. 2024. Approximation of classical two-phase flows of viscous incompressible fluids by a Navier–Stokes/Allen–Cahn system. Archive for Rational Mechanics and Analysis. 248(5), 77. mla: Abels, Helmut, et al. “Approximation of Classical Two-Phase Flows of Viscous Incompressible Fluids by a Navier–Stokes/Allen–Cahn System.” Archive for Rational Mechanics and Analysis, vol. 248, no. 5, 77, Springer Nature, 2024, doi:10.1007/s00205-024-02020-9. short: H. Abels, J.L. Fischer, M. Moser, Archive for Rational Mechanics and Analysis 248 (2024). das_tickbox: '1' dataavailabilitystatement: There is no associated data to the manuscript. date_created: 2024-09-08T22:01:10Z date_published: 2024-09-03T00:00:00Z date_updated: 2026-10-15T09:44:17Z day: '03' ddc: - '510' department: - _id: JuFi doi: 10.1007/s00205-024-02020-9 ec_funded: 1 external_id: arxiv: - '2311.02997' isi: - '001305530600001' pmid: - '39239088' file: - access_level: open_access checksum: 98493a05b84e4513b6394dfad4851ddf content_type: application/pdf creator: dernst date_created: 2024-09-09T08:43:32Z date_updated: 2024-09-09T08:43:32Z file_id: '17938' file_name: 2024_ArchiveRatAnalysis_Abels.pdf file_size: 811131 relation: main_file success: 1 file_date_updated: 2024-09-09T08:43:32Z fulldoi: https://doi.org/10.1007/s00205-024-02020-9 has_accepted_license: '1' intvolume: ' 248' isi: 1 issue: '5' language: - iso: eng month: '09' oa: 1 oa_version: Published Version pmid: 1 project: - _id: 0aa76401-070f-11eb-9043-b5bb049fa26d call_identifier: H2020 grant_number: '948819' name: Bridging Scales in Random Materials publication: Archive for Rational Mechanics and Analysis publication_identifier: eissn: - 1432-0673 issn: - 0003-9527 publication_status: published publisher: Springer Nature quality_controlled: '1' researchdata_availability: not applicable scopus_import: '1' status: public supplementarymaterial: no title: Approximation of classical two-phase flows of viscous incompressible fluids by a Navier–Stokes/Allen–Cahn system tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 248 year: '2024' ... --- _id: '12485' abstract: - lang: eng text: In this paper we introduce the critical variational setting for parabolic stochastic evolution equations of quasi- or semi-linear type. Our results improve many of the abstract results in the classical variational setting. In particular, we are able to replace the usual weak or local monotonicity condition by a more flexible local Lipschitz condition. Moreover, the usual growth conditions on the multiplicative noise are weakened considerably. Our new setting provides general conditions under which local and global existence and uniqueness hold. Moreover, we prove continuous dependence on the initial data. We show that many classical SPDEs, which could not be covered by the classical variational setting, do fit in the critical variational setting. In particular, this is the case for the Cahn-Hilliard equations, tamed Navier-Stokes equations, and Allen-Cahn equation. acknowledgement: The first author has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 948819) . The second author is supported by the VICI subsidy VI.C.212.027 of the Netherlands Organisation for Scientific Research (NWO). article_processing_charge: Yes (in subscription journal) article_type: original arxiv: 1 author: - first_name: Antonio full_name: Agresti, Antonio id: 673cd0cc-9b9a-11eb-b144-88f30e1fbb72 last_name: Agresti orcid: 0000-0002-9573-2962 - first_name: Mark full_name: Veraar, Mark last_name: Veraar citation: ama: Agresti A, Veraar M. The critical variational setting for stochastic evolution equations. Probability Theory and Related Fields. 2024;188:957-1015. doi:10.1007/s00440-023-01249-x apa: Agresti, A., & Veraar, M. (2024). The critical variational setting for stochastic evolution equations. Probability Theory and Related Fields. Springer Nature. https://doi.org/10.1007/s00440-023-01249-x chicago: Agresti, Antonio, and Mark Veraar. “The Critical Variational Setting for Stochastic Evolution Equations.” Probability Theory and Related Fields. Springer Nature, 2024. https://doi.org/10.1007/s00440-023-01249-x. ieee: A. Agresti and M. Veraar, “The critical variational setting for stochastic evolution equations,” Probability Theory and Related Fields, vol. 188. Springer Nature, pp. 957–1015, 2024. ista: Agresti A, Veraar M. 2024. The critical variational setting for stochastic evolution equations. Probability Theory and Related Fields. 188, 957–1015. mla: Agresti, Antonio, and Mark Veraar. “The Critical Variational Setting for Stochastic Evolution Equations.” Probability Theory and Related Fields, vol. 188, Springer Nature, 2024, pp. 957–1015, doi:10.1007/s00440-023-01249-x. short: A. Agresti, M. Veraar, Probability Theory and Related Fields 188 (2024) 957–1015. das_tickbox: '1' dataavailabilitystatement: Data sharing not applicable to this article as no datasets were generated or analysed during the current study. date_created: 2023-02-02T10:45:15Z date_published: 2024-04-01T00:00:00Z date_updated: 2026-10-15T09:45:31Z day: '01' ddc: - '510' department: - _id: JuFi doi: 10.1007/s00440-023-01249-x ec_funded: 1 external_id: arxiv: - '2206.00230' isi: - '001154226500001' file: - access_level: open_access checksum: b8572339dbc5b8de4934dc5fd34afc7d content_type: application/pdf creator: dernst date_created: 2024-07-22T09:21:09Z date_updated: 2024-07-22T09:21:09Z file_id: '17296' file_name: 2024_ProbTheory_Agresti.pdf file_size: 942801 relation: main_file success: 1 file_date_updated: 2024-07-22T09:21:09Z fulldoi: https://doi.org/10.1007/s00440-023-01249-x has_accepted_license: '1' intvolume: ' 188' isi: 1 language: - iso: eng month: '04' oa: 1 oa_version: Published Version page: 957-1015 project: - _id: 0aa76401-070f-11eb-9043-b5bb049fa26d call_identifier: H2020 grant_number: '948819' name: Bridging Scales in Random Materials publication: Probability Theory and Related Fields publication_identifier: eissn: - 1432-2064 issn: - 0178-8051 publication_status: published publisher: Springer Nature quality_controlled: '1' researchdata_availability: not applicable scopus_import: '1' status: public supplementarymaterial: no title: The critical variational setting for stochastic evolution equations tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 188 year: '2024' ... --- _id: '12178' abstract: - lang: eng text: In this paper we consider the stochastic primitive equation for geophysical flows subject to transport noise and turbulent pressure. Admitting very rough noise terms, the global existence and uniqueness of solutions to this stochastic partial differential equation are proven using stochastic maximal L² regularity, the theory of critical spaces for stochastic evolution equations, and global a priori bounds. Compared to other results in this direction, we do not need any smallness assumption on the transport noise which acts directly on the velocity field and we also allow rougher noise terms. The adaptation to Stratonovich type noise and, more generally, to variable viscosity and/or conductivity are discussed as well. acknowledgement: The authors thank the anonymous referees for their helpful comments and suggestions. Open Access funding enabled and organized by Projekt DEAL. article_processing_charge: Yes (via OA deal) article_type: original arxiv: 1 author: - first_name: Antonio full_name: Agresti, Antonio id: 673cd0cc-9b9a-11eb-b144-88f30e1fbb72 last_name: Agresti orcid: 0000-0002-9573-2962 - first_name: Matthias full_name: Hieber, Matthias last_name: Hieber - first_name: Amru full_name: Hussein, Amru last_name: Hussein - first_name: Martin full_name: Saal, Martin last_name: Saal citation: ama: 'Agresti A, Hieber M, Hussein A, Saal M. The stochastic primitive equations with transport noise and turbulent pressure. Stochastics and Partial Differential Equations: Analysis and Computations. 2024;12:53-133. doi:10.1007/s40072-022-00277-3' apa: 'Agresti, A., Hieber, M., Hussein, A., & Saal, M. (2024). The stochastic primitive equations with transport noise and turbulent pressure. Stochastics and Partial Differential Equations: Analysis and Computations. Springer Nature. https://doi.org/10.1007/s40072-022-00277-3' chicago: 'Agresti, Antonio, Matthias Hieber, Amru Hussein, and Martin Saal. “The Stochastic Primitive Equations with Transport Noise and Turbulent Pressure.” Stochastics and Partial Differential Equations: Analysis and Computations. Springer Nature, 2024. https://doi.org/10.1007/s40072-022-00277-3.' ieee: 'A. Agresti, M. Hieber, A. Hussein, and M. Saal, “The stochastic primitive equations with transport noise and turbulent pressure,” Stochastics and Partial Differential Equations: Analysis and Computations, vol. 12. Springer Nature, pp. 53–133, 2024.' ista: 'Agresti A, Hieber M, Hussein A, Saal M. 2024. The stochastic primitive equations with transport noise and turbulent pressure. Stochastics and Partial Differential Equations: Analysis and Computations. 12, 53–133.' mla: 'Agresti, Antonio, et al. “The Stochastic Primitive Equations with Transport Noise and Turbulent Pressure.” Stochastics and Partial Differential Equations: Analysis and Computations, vol. 12, Springer Nature, 2024, pp. 53–133, doi:10.1007/s40072-022-00277-3.' short: 'A. Agresti, M. Hieber, A. Hussein, M. Saal, Stochastics and Partial Differential Equations: Analysis and Computations 12 (2024) 53–133.' das_tickbox: '1' dataavailabilitystatement: This manuscript has no associated data. date_created: 2023-01-12T12:12:29Z date_published: 2024-03-01T00:00:00Z date_updated: 2026-10-15T09:44:54Z day: '01' ddc: - '510' department: - _id: JuFi doi: 10.1007/s40072-022-00277-3 external_id: arxiv: - '2109.09561' isi: - '000874389000001' file: - access_level: open_access checksum: 59c9000761134d681bdf9d482664044c content_type: application/pdf creator: dernst date_created: 2024-07-22T09:29:48Z date_updated: 2024-07-22T09:29:48Z file_id: '17297' file_name: 2024_StochasticsEquations_Agresti.pdf file_size: 1206413 relation: main_file success: 1 file_date_updated: 2024-07-22T09:29:48Z fulldoi: https://doi.org/10.1007/s40072-022-00277-3 has_accepted_license: '1' intvolume: ' 12' isi: 1 keyword: - Applied Mathematics - Modeling and Simulation - Statistics and Probability language: - iso: eng month: '03' oa: 1 oa_version: Published Version page: 53-133 publication: 'Stochastics and Partial Differential Equations: Analysis and Computations' publication_identifier: eissn: - 2194-041X issn: - 2194-0401 publication_status: published publisher: Springer Nature quality_controlled: '1' researchdata_availability: not applicable scopus_import: '1' status: public supplementarymaterial: yes title: The stochastic primitive equations with transport noise and turbulent pressure tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 12 year: '2024' ... --- _id: '17372' abstract: - lang: eng text: 'In this paper, we investigate the global well-posedness of reaction-diffusion systems with transport noise on the d-dimensional torus. We show new global well-posedness results for a large class of scalar equations (e.g. the Allen-Cahn equation), and dissipative systems (e.g. equations in coagulation dynamics). Moreover, we prove global well-posedness for two weakly dissipative systems: Lotka-Volterra equations for d∈{1,2,3,4} and the Brusselator for d∈{1,2,3}. Many of the results are also new without transport noise. The proofs are based on maximal regularity techniques, positivity results, and sharp blow-up criteria developed in our recent works, combined with energy estimates based on Itô''s formula and stochastic Gronwall inequalities. Key novelties include the introduction of new Lζ -coercivity/dissipativity conditions and the development of an Lp(Lq) -framework for systems of reaction-diffusion equations, which are needed when treating dimensions d∈{2,3} in the case of cubic or higher order nonlinearities.' acknowledgement: The first author’s research was supported by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme grant 948819. . The second author’s research was supported by the VICI subsidy VI.C.212.027 of the Netherlands Organisation for Scientific Research (NWO). article_processing_charge: No article_type: original arxiv: 1 author: - first_name: Antonio full_name: Agresti, Antonio id: 673cd0cc-9b9a-11eb-b144-88f30e1fbb72 last_name: Agresti orcid: 0000-0002-9573-2962 - first_name: Mark full_name: Veraar, Mark last_name: Veraar citation: ama: 'Agresti A, Veraar M. Reaction-diffusion equations with transport noise and critical superlinear diffusion: Global well-posedness of weakly dissipative systems. SIAM Journal on Mathematical Analysis. 2024;56(4):4870-4927. doi:10.1137/23M1562482' apa: 'Agresti, A., & Veraar, M. (2024). Reaction-diffusion equations with transport noise and critical superlinear diffusion: Global well-posedness of weakly dissipative systems. SIAM Journal on Mathematical Analysis. Society for Industrial and Applied Mathematics. https://doi.org/10.1137/23M1562482' chicago: 'Agresti, Antonio, and Mark Veraar. “Reaction-Diffusion Equations with Transport Noise and Critical Superlinear Diffusion: Global Well-Posedness of Weakly Dissipative Systems.” SIAM Journal on Mathematical Analysis. Society for Industrial and Applied Mathematics, 2024. https://doi.org/10.1137/23M1562482.' ieee: 'A. Agresti and M. Veraar, “Reaction-diffusion equations with transport noise and critical superlinear diffusion: Global well-posedness of weakly dissipative systems,” SIAM Journal on Mathematical Analysis, vol. 56, no. 4. Society for Industrial and Applied Mathematics, pp. 4870–4927, 2024.' ista: 'Agresti A, Veraar M. 2024. Reaction-diffusion equations with transport noise and critical superlinear diffusion: Global well-posedness of weakly dissipative systems. SIAM Journal on Mathematical Analysis. 56(4), 4870–4927.' mla: 'Agresti, Antonio, and Mark Veraar. “Reaction-Diffusion Equations with Transport Noise and Critical Superlinear Diffusion: Global Well-Posedness of Weakly Dissipative Systems.” SIAM Journal on Mathematical Analysis, vol. 56, no. 4, Society for Industrial and Applied Mathematics, 2024, pp. 4870–927, doi:10.1137/23M1562482.' short: A. Agresti, M. Veraar, SIAM Journal on Mathematical Analysis 56 (2024) 4870–4927. corr_author: '1' das_tickbox: '0' date_created: 2024-08-04T22:01:21Z date_published: 2024-08-01T00:00:00Z date_updated: 2026-10-15T09:43:41Z day: '01' department: - _id: JuFi doi: 10.1137/23M1562482 ec_funded: 1 external_id: arxiv: - '2301.06897' isi: - '001315424500021' fulldoi: https://doi.org/10.1137/23M1562482 intvolume: ' 56' isi: 1 issue: '4' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.48550/arXiv.2301.06897 month: '08' oa: 1 oa_version: Preprint page: 4870-4927 project: - _id: 0aa76401-070f-11eb-9043-b5bb049fa26d call_identifier: H2020 grant_number: '948819' name: Bridging Scales in Random Materials publication: SIAM Journal on Mathematical Analysis publication_identifier: eissn: - 1095-7154 issn: - 0036-1410 publication_status: published publisher: Society for Industrial and Applied Mathematics quality_controlled: '1' researchdata_availability: no scopus_import: '1' status: public supplementarymaterial: yes title: 'Reaction-diffusion equations with transport noise and critical superlinear diffusion: Global well-posedness of weakly dissipative systems' type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 56 year: '2024' ... --- _id: '14884' abstract: - lang: eng text: We perform a stochastic homogenization analysis for composite materials exhibiting a random microstructure. Under the assumptions of stationarity and ergodicity, we characterize the Gamma-limit of a micromagnetic energy functional defined on magnetizations taking value in the unit sphere and including both symmetric and antisymmetric exchange contributions. This Gamma-limit corresponds to a micromagnetic energy functional with homogeneous coefficients. We provide explicit formulas for the effective magnetic properties of the composite material in terms of homogenization correctors. Additionally, the variational analysis of the two exchange energy terms is performed in the more general setting of functionals defined on manifold-valued maps with Sobolev regularity, in the case in which the target manifold is a bounded, orientable smooth surface with tubular neighborhood of uniform thickness. Eventually, we present an explicit characterization of minimizers of the effective exchange in the case of magnetic multilayers, providing quantitative evidence of Dzyaloshinskii’s predictions on the emergence of helical structures in composite ferromagnetic materials with stochastic microstructure. acknowledgement: All authors acknowledge support of the Austrian Science Fund (FWF) through the SFB project F65. The research of E. Davoli and L. D’Elia has additionally been supported by the FWF through grants V662, Y1292, and P35359, as well as from OeAD through the WTZ grant CZ09/2023. article_number: '30' article_processing_charge: No article_type: original arxiv: 1 author: - first_name: Elisa full_name: Davoli, Elisa last_name: Davoli - first_name: Lorenza full_name: D’Elia, Lorenza last_name: D’Elia - first_name: Jonas full_name: Ingmanns, Jonas id: 71523d30-15b2-11ec-abd3-f80aa909d6b0 last_name: Ingmanns orcid: 0009-0008-1310-7946 citation: ama: Davoli E, D’Elia L, Ingmanns J. Stochastic homogenization of micromagnetic energies and emergence of magnetic skyrmions. Journal of Nonlinear Science. 2024;34(2). doi:10.1007/s00332-023-10005-3 apa: Davoli, E., D’Elia, L., & Ingmanns, J. (2024). Stochastic homogenization of micromagnetic energies and emergence of magnetic skyrmions. Journal of Nonlinear Science. Springer Nature. https://doi.org/10.1007/s00332-023-10005-3 chicago: Davoli, Elisa, Lorenza D’Elia, and Jonas Ingmanns. “Stochastic Homogenization of Micromagnetic Energies and Emergence of Magnetic Skyrmions.” Journal of Nonlinear Science. Springer Nature, 2024. https://doi.org/10.1007/s00332-023-10005-3. ieee: E. Davoli, L. D’Elia, and J. Ingmanns, “Stochastic homogenization of micromagnetic energies and emergence of magnetic skyrmions,” Journal of Nonlinear Science, vol. 34, no. 2. Springer Nature, 2024. ista: Davoli E, D’Elia L, Ingmanns J. 2024. Stochastic homogenization of micromagnetic energies and emergence of magnetic skyrmions. Journal of Nonlinear Science. 34(2), 30. mla: Davoli, Elisa, et al. “Stochastic Homogenization of Micromagnetic Energies and Emergence of Magnetic Skyrmions.” Journal of Nonlinear Science, vol. 34, no. 2, 30, Springer Nature, 2024, doi:10.1007/s00332-023-10005-3. short: E. Davoli, L. D’Elia, J. Ingmanns, Journal of Nonlinear Science 34 (2024). das_tickbox: '1' dataavailabilitystatement: Data sharing is not applicable to this article as no datasets were generated or analyzed during the current study. date_created: 2024-01-28T23:01:42Z date_published: 2024-01-23T00:00:00Z date_updated: 2026-10-15T09:46:00Z day: '23' department: - _id: JuFi doi: 10.1007/s00332-023-10005-3 external_id: arxiv: - '2306.05151' isi: - '001147480200001' fulldoi: https://doi.org/10.1007/s00332-023-10005-3 intvolume: ' 34' isi: 1 issue: '2' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.48550/arXiv.2306.05151 month: '01' oa: 1 oa_version: Preprint project: - _id: fc31cba2-9c52-11eb-aca3-ff467d239cd2 grant_number: F6504 name: Taming Complexity in Partial Differential Systems publication: Journal of Nonlinear Science publication_identifier: eissn: - 1432-1467 issn: - 0938-8974 publication_status: published publisher: Springer Nature quality_controlled: '1' researchdata_availability: not applicable scopus_import: '1' status: public supplementarymaterial: no title: Stochastic homogenization of micromagnetic energies and emergence of magnetic skyrmions type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 34 year: '2024' ... --- OA_place: publisher OA_type: free access _id: '19005' abstract: - lang: eng text: "Causal representation learning promises to extend causal models to hidden causal\r\nvariables from raw entangled measurements. However, most progress has focused\r\non proving identifiability results in different settings, and we are not aware of any\r\nsuccessful real-world application. At the same time, the field of dynamical systems\r\nbenefited from deep learning and scaled to countless applications but does not allow\r\nparameter identification. In this paper, we draw a clear connection between the two\r\nand their key assumptions, allowing us to apply identifiable methods developed\r\nin causal representation learning to dynamical systems. At the same time, we can\r\nleverage scalable differentiable solvers developed for differential equations to build\r\nmodels that are both identifiable and practical. Overall, we learn explicitly controllable models that isolate the trajectory-specific parameters for further downstream\r\ntasks such as out-of-distribution classification or treatment effect estimation. We\r\nexperiment with a wind simulator with partially known factors of variation. We\r\nalso apply the resulting model to real-world climate data and successfully answer\r\ndownstream causal questions in line with existing literature on climate change.\r\nCode is available at https://github.com/CausalLearningAI/crl-dynamical-systems." acknowledgement: "We thank Niklas Boers for recommending the SpeedyWeather simulator and Valentino Maiorca\r\nfor guidance on Fourier transformation for SST data. We are also grateful to Shimeng Huang and Riccardo Cadei for their feedback on the treatment effect estimation experiment and to Jiale Chen and Adeel Pervez for their assistance with the solver implementation. Finally, we appreciate the anonymous reviewers for their insightful suggestions, which helped improve the manuscript. " alternative_title: - Advances in Neural Information Processing Systems article_processing_charge: No arxiv: 1 author: - first_name: Dingling full_name: Yao, Dingling id: d3e02e50-48a8-11ee-8f62-c108061797fa last_name: Yao - first_name: Caroline J full_name: Muller, Caroline J id: f978ccb0-3f7f-11eb-b193-b0e2bd13182b last_name: Muller orcid: 0000-0001-5836-5350 - first_name: Francesco full_name: Locatello, Francesco id: 26cfd52f-2483-11ee-8040-88983bcc06d4 last_name: Locatello orcid: 0000-0002-4850-0683 citation: ama: 'Yao D, Muller CJ, Locatello F. Marrying causal representation learning with dynamical systems for science. In: 38th Conference on Neural Information Processing Systems. Vol 37. Neural Information Processing Systems Foundation; 2024. doi:10.52202/079017-2290' apa: 'Yao, D., Muller, C. J., & Locatello, F. (2024). Marrying causal representation learning with dynamical systems for science. In 38th Conference on Neural Information Processing Systems (Vol. 37). Vancouver, Canada: Neural Information Processing Systems Foundation. https://doi.org/10.52202/079017-2290' chicago: Yao, Dingling, Caroline J Muller, and Francesco Locatello. “Marrying Causal Representation Learning with Dynamical Systems for Science.” In 38th Conference on Neural Information Processing Systems, Vol. 37. Neural Information Processing Systems Foundation, 2024. https://doi.org/10.52202/079017-2290. ieee: D. Yao, C. J. Muller, and F. Locatello, “Marrying causal representation learning with dynamical systems for science,” in 38th Conference on Neural Information Processing Systems, Vancouver, Canada, 2024, vol. 37. ista: 'Yao D, Muller CJ, Locatello F. 2024. Marrying causal representation learning with dynamical systems for science. 38th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems, Advances in Neural Information Processing Systems, vol. 37.' mla: Yao, Dingling, et al. “Marrying Causal Representation Learning with Dynamical Systems for Science.” 38th Conference on Neural Information Processing Systems, vol. 37, Neural Information Processing Systems Foundation, 2024, doi:10.52202/079017-2290. short: D. Yao, C.J. Muller, F. Locatello, in:, 38th Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2024. conference: end_date: 2024-12-16 location: Vancouver, Canada name: 'NeurIPS: Neural Information Processing Systems' start_date: 2024-12-16 corr_author: '1' das_tickbox: '0' date_created: 2025-02-05T07:49:00Z date_published: 2024-12-01T00:00:00Z date_updated: 2026-10-15T09:47:17Z day: '01' ddc: - '000' - '550' department: - _id: CaMu - _id: FrLo doi: 10.52202/079017-2290 external_id: arxiv: - '2405.13888' file: - access_level: open_access checksum: fe8832367e7143876f178244385d859e content_type: application/pdf creator: dernst date_created: 2025-02-05T07:44:58Z date_updated: 2025-02-05T07:44:58Z file_id: '19006' file_name: 2024_NeurIPS_Yao.pdf file_size: 2595855 relation: main_file success: 1 file_date_updated: 2025-02-05T07:44:58Z fulldoi: https://doi.org/10.52202/079017-2290 has_accepted_license: '1' intvolume: ' 37' language: - iso: eng month: '12' oa: 1 oa_version: Published Version publication: 38th Conference on Neural Information Processing Systems publication_identifier: eissn: - 1049-5258 publication_status: published publisher: Neural Information Processing Systems Foundation quality_controlled: '1' related_material: link: - relation: software url: https://github.com/CausalLearningAI/crl-dynamical-systems researchdata_availability: no scopus_import: '1' status: public supplementarymaterial: no title: Marrying causal representation learning with dynamical systems for science type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 37 year: '2024' ... --- OA_place: publisher OA_type: hybrid _id: '13129' abstract: - lang: eng text: "We study the representative volume element (RVE) method, which is a method to approximately infer the effective behavior ahom of a stationary random medium. The latter is described by a coefficient field a(x) generated from a given ensemble ⟨⋅⟩ and the corresponding linear elliptic operator −∇⋅a∇. In line with the theory of homogenization, the method proceeds by computing d=3 correctors (d denoting the space dimension). To be numerically tractable, this computation has to be done on a finite domain: the so-called representative volume element, i.e., a large box with, say, periodic boundary conditions. The main message of this article is: Periodize the ensemble instead of its realizations. By this, we mean that it is better to sample from a suitably periodized ensemble than to periodically extend the restriction of a realization a(x) from the whole-space ensemble ⟨⋅⟩. We make this point by investigating the bias (or systematic error), i.e., the difference between ahom and the expected value of the RVE method, in terms of its scaling w.r.t. the lateral size L of the box. In case of periodizing a(x), we heuristically argue that this error is generically O(L−1). In case of a suitable periodization of ⟨⋅⟩\r\n, we rigorously show that it is O(L−d). In fact, we give a characterization of the leading-order error term for both strategies and argue that even in the isotropic case it is generically non-degenerate. We carry out the rigorous analysis in the convenient setting of ensembles ⟨⋅⟩\r\n of Gaussian type, which allow for a straightforward periodization, passing via the (integrable) covariance function. This setting has also the advantage of making the Price theorem and the Malliavin calculus available for optimal stochastic estimates of correctors. We actually need control of second-order correctors to capture the leading-order error term. This is due to inversion symmetry when applying the two-scale expansion to the Green function. As a bonus, we present a stream-lined strategy to estimate the error in a higher-order two-scale expansion of the Green function." acknowledgement: Open access funding provided by Institute of Science and Technology (IST Austria). article_processing_charge: Yes (via OA deal) article_type: original author: - first_name: Nicolas full_name: Clozeau, Nicolas id: fea1b376-906f-11eb-847d-b2c0cf46455b last_name: Clozeau - first_name: Marc full_name: Josien, Marc last_name: Josien - first_name: Felix full_name: Otto, Felix last_name: Otto - first_name: Qiang full_name: Xu, Qiang last_name: Xu citation: ama: 'Clozeau N, Josien M, Otto F, Xu Q. Bias in the representative volume element method: Periodize the ensemble instead of its realizations. Foundations of Computational Mathematics. 2024;24:1305-1387. doi:10.1007/s10208-023-09613-y' apa: 'Clozeau, N., Josien, M., Otto, F., & Xu, Q. (2024). Bias in the representative volume element method: Periodize the ensemble instead of its realizations. Foundations of Computational Mathematics. Springer Nature. https://doi.org/10.1007/s10208-023-09613-y' chicago: 'Clozeau, Nicolas, Marc Josien, Felix Otto, and Qiang Xu. “Bias in the Representative Volume Element Method: Periodize the Ensemble Instead of Its Realizations.” Foundations of Computational Mathematics. Springer Nature, 2024. https://doi.org/10.1007/s10208-023-09613-y.' ieee: 'N. Clozeau, M. Josien, F. Otto, and Q. Xu, “Bias in the representative volume element method: Periodize the ensemble instead of its realizations,” Foundations of Computational Mathematics, vol. 24. Springer Nature, pp. 1305–1387, 2024.' ista: 'Clozeau N, Josien M, Otto F, Xu Q. 2024. Bias in the representative volume element method: Periodize the ensemble instead of its realizations. Foundations of Computational Mathematics. 24, 1305–1387.' mla: 'Clozeau, Nicolas, et al. “Bias in the Representative Volume Element Method: Periodize the Ensemble Instead of Its Realizations.” Foundations of Computational Mathematics, vol. 24, Springer Nature, 2024, pp. 1305–87, doi:10.1007/s10208-023-09613-y.' short: N. Clozeau, M. Josien, F. Otto, Q. Xu, Foundations of Computational Mathematics 24 (2024) 1305–1387. corr_author: '1' das_tickbox: '0' date_created: 2023-06-11T22:00:40Z date_published: 2024-08-01T00:00:00Z date_updated: 2026-10-15T09:47:37Z day: '01' ddc: - '510' department: - _id: JuFi doi: 10.1007/s10208-023-09613-y external_id: isi: - '000999623100001' file: - access_level: open_access checksum: ec0582e2b55e2703a7da2686ae0d682e content_type: application/pdf creator: dernst date_created: 2025-01-09T07:36:57Z date_updated: 2025-01-09T07:36:57Z file_id: '18782' file_name: 2024_FoundCompMath_Clozeau.pdf file_size: 1454406 relation: main_file success: 1 file_date_updated: 2025-01-09T07:36:57Z fulldoi: https://doi.org/10.1007/s10208-023-09613-y has_accepted_license: '1' intvolume: ' 24' isi: 1 language: - iso: eng month: '08' oa: 1 oa_version: Published Version page: 1305-1387 publication: Foundations of Computational Mathematics publication_identifier: eissn: - 1615-3383 issn: - 1615-3375 publication_status: published publisher: Springer Nature quality_controlled: '1' researchdata_availability: no scopus_import: '1' status: public supplementarymaterial: yes title: 'Bias in the representative volume element method: Periodize the ensemble instead of its realizations' tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 24 year: '2024' ... --- OA_place: publisher OA_type: hybrid _id: '12486' abstract: - lang: eng text: This paper is concerned with the problem of regularization by noise of systems of reaction–diffusion equations with mass control. It is known that strong solutions to such systems of PDEs may blow-up in finite time. Moreover, for many systems of practical interest, establishing whether the blow-up occurs or not is an open question. Here we prove that a suitable multiplicative noise of transport type has a regularizing effect. More precisely, for both a sufficiently noise intensity and a high spectrum, the blow-up of strong solutions is delayed up to an arbitrary large time. Global existence is shown for the case of exponentially decreasing mass. The proofs combine and extend recent developments in regularization by noise and in the Lp(Lq)-approach to stochastic PDEs, highlighting new connections between the two areas. acknowledgement: "The author has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant Agreement No. 948819).\r\nThe author thanks Lorenzo Dello Schiavo, Lucio Galeati and Mark Veraar for helpful comments. The author acknowledges Caterina Balzotti for her support in creating the picture. The author\r\nthanks the anonymous referee for helpful comments. " article_processing_charge: No article_type: original arxiv: 1 author: - first_name: Antonio full_name: Agresti, Antonio id: 673cd0cc-9b9a-11eb-b144-88f30e1fbb72 last_name: Agresti orcid: 0000-0002-9573-2962 citation: ama: 'Agresti A. Delayed blow-up and enhanced diffusion by transport noise for systems of reaction-diffusion equations. Stochastics and Partial Differential Equations: Analysis and Computations. 2024;12:1907-1981. doi:10.1007/s40072-023-00319-4' apa: 'Agresti, A. (2024). Delayed blow-up and enhanced diffusion by transport noise for systems of reaction-diffusion equations. Stochastics and Partial Differential Equations: Analysis and Computations. Springer Nature. https://doi.org/10.1007/s40072-023-00319-4' chicago: 'Agresti, Antonio. “Delayed Blow-up and Enhanced Diffusion by Transport Noise for Systems of Reaction-Diffusion Equations.” Stochastics and Partial Differential Equations: Analysis and Computations. Springer Nature, 2024. https://doi.org/10.1007/s40072-023-00319-4.' ieee: 'A. Agresti, “Delayed blow-up and enhanced diffusion by transport noise for systems of reaction-diffusion equations,” Stochastics and Partial Differential Equations: Analysis and Computations, vol. 12. Springer Nature, pp. 1907–1981, 2024.' ista: 'Agresti A. 2024. Delayed blow-up and enhanced diffusion by transport noise for systems of reaction-diffusion equations. Stochastics and Partial Differential Equations: Analysis and Computations. 12, 1907–1981.' mla: 'Agresti, Antonio. “Delayed Blow-up and Enhanced Diffusion by Transport Noise for Systems of Reaction-Diffusion Equations.” Stochastics and Partial Differential Equations: Analysis and Computations, vol. 12, Springer Nature, 2024, pp. 1907–81, doi:10.1007/s40072-023-00319-4.' short: 'A. Agresti, Stochastics and Partial Differential Equations: Analysis and Computations 12 (2024) 1907–1981.' corr_author: '1' das_tickbox: '1' dataavailabilitystatement: This manuscript has no associated data. date_created: 2023-02-02T10:45:47Z date_published: 2024-09-01T00:00:00Z date_updated: 2026-10-15T09:48:09Z day: '01' ddc: - '510' department: - _id: JuFi doi: 10.1007/s40072-023-00319-4 ec_funded: 1 external_id: arxiv: - '2207.08293' isi: - '001108594600001' pmid: - '39104877' file: - access_level: open_access checksum: 3c93d07a5f7e0b0caa8062eadcfa69c2 content_type: application/pdf creator: dernst date_created: 2025-01-09T08:01:02Z date_updated: 2025-01-09T08:01:02Z file_id: '18787' file_name: 2024_StochPartDiffEquations_Agresti.pdf file_size: 1320682 relation: main_file success: 1 file_date_updated: 2025-01-09T08:01:02Z fulldoi: https://doi.org/10.1007/s40072-023-00319-4 has_accepted_license: '1' intvolume: ' 12' isi: 1 language: - iso: eng month: '09' oa: 1 oa_version: Published Version page: 1907-1981 pmid: 1 project: - _id: 0aa76401-070f-11eb-9043-b5bb049fa26d call_identifier: H2020 grant_number: '948819' name: Bridging Scales in Random Materials publication: 'Stochastics and Partial Differential Equations: Analysis and Computations' publication_identifier: eissn: - 2194-041X issn: - 2194-0401 publication_status: published publisher: Springer Nature quality_controlled: '1' researchdata_availability: not applicable scopus_import: '1' status: public supplementarymaterial: no title: Delayed blow-up and enhanced diffusion by transport noise for systems of reaction-diffusion equations tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 12 year: '2024' ... --- OA_place: publisher OA_type: hybrid _id: '14797' abstract: - lang: eng text: We study a random matching problem on closed compact 2 -dimensional Riemannian manifolds (with respect to the squared Riemannian distance), with samples of random points whose common law is absolutely continuous with respect to the volume measure with strictly positive and bounded density. We show that given two sequences of numbers n and m=m(n) of points, asymptotically equivalent as n goes to infinity, the optimal transport plan between the two empirical measures μn and νm is quantitatively well-approximated by (Id,exp(∇hn))#μn where hn solves a linear elliptic PDE obtained by a regularized first-order linearization of the Monge-Ampère equation. This is obtained in the case of samples of correlated random points for which a stretched exponential decay of the α -mixing coefficient holds and for a class of discrete-time Markov chains having a unique absolutely continuous invariant measure with respect to the volume measure. acknowledgement: "NC has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant agreement No 948819).\r\nFM is supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) through the SPP 2265 Random Geometric Systems. FM has been funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy EXC 2044 -390685587, Mathematics Münster: Dynamics–Geometry–Structure. FM has been funded by the Max Planck Institute for Mathematics in the Sciences." article_processing_charge: Yes (in subscription journal) article_type: original arxiv: 1 author: - first_name: Nicolas full_name: Clozeau, Nicolas id: fea1b376-906f-11eb-847d-b2c0cf46455b last_name: Clozeau - first_name: Francesco full_name: Mattesini, Francesco last_name: Mattesini citation: ama: Clozeau N, Mattesini F. Annealed quantitative estimates for the quadratic 2D-discrete random matching problem. Probability Theory and Related Fields. 2024;190:485-541. doi:10.1007/s00440-023-01254-0 apa: Clozeau, N., & Mattesini, F. (2024). Annealed quantitative estimates for the quadratic 2D-discrete random matching problem. Probability Theory and Related Fields. Springer Nature. https://doi.org/10.1007/s00440-023-01254-0 chicago: Clozeau, Nicolas, and Francesco Mattesini. “Annealed Quantitative Estimates for the Quadratic 2D-Discrete Random Matching Problem.” Probability Theory and Related Fields. Springer Nature, 2024. https://doi.org/10.1007/s00440-023-01254-0. ieee: N. Clozeau and F. Mattesini, “Annealed quantitative estimates for the quadratic 2D-discrete random matching problem,” Probability Theory and Related Fields, vol. 190. Springer Nature, pp. 485–541, 2024. ista: Clozeau N, Mattesini F. 2024. Annealed quantitative estimates for the quadratic 2D-discrete random matching problem. Probability Theory and Related Fields. 190, 485–541. mla: Clozeau, Nicolas, and Francesco Mattesini. “Annealed Quantitative Estimates for the Quadratic 2D-Discrete Random Matching Problem.” Probability Theory and Related Fields, vol. 190, Springer Nature, 2024, pp. 485–541, doi:10.1007/s00440-023-01254-0. short: N. Clozeau, F. Mattesini, Probability Theory and Related Fields 190 (2024) 485–541. corr_author: '1' das_tickbox: '0' date_created: 2024-01-14T23:00:57Z date_published: 2024-10-01T00:00:00Z date_updated: 2026-10-15T09:48:31Z day: '01' ddc: - '510' department: - _id: JuFi doi: 10.1007/s00440-023-01254-0 ec_funded: 1 external_id: arxiv: - '2303.00353' isi: - '001136206200002' file: - access_level: open_access checksum: 34f44cad6a210ff66791ee37e590af2c content_type: application/pdf creator: dernst date_created: 2025-01-09T08:10:54Z date_updated: 2025-01-09T08:10:54Z file_id: '18788' file_name: 2024_ProbTheoryRelatFields_Clozeau.pdf file_size: 880117 relation: main_file success: 1 file_date_updated: 2025-01-09T08:10:54Z fulldoi: https://doi.org/10.1007/s00440-023-01254-0 has_accepted_license: '1' intvolume: ' 190' isi: 1 language: - iso: eng month: '10' oa: 1 oa_version: Published Version page: 485-541 project: - _id: 0aa76401-070f-11eb-9043-b5bb049fa26d call_identifier: H2020 grant_number: '948819' name: Bridging Scales in Random Materials publication: Probability Theory and Related Fields publication_identifier: eissn: - 1432-2064 issn: - 0178-8051 publication_status: published publisher: Springer Nature quality_controlled: '1' researchdata_availability: no scopus_import: '1' status: public supplementarymaterial: no title: Annealed quantitative estimates for the quadratic 2D-discrete random matching problem tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 190 year: '2024' ... --- _id: '15334' abstract: - lang: eng text: We consider the sharp interface limit of a Navier-Stokes/Allen Cahn equation in a bounded smooth domain in two space dimensions, in the case of vanishing mobility mε=ε√, where the small parameter ε>0 related to the thickness of the diffuse interface is sent to zero. For well-prepared initial data and sufficiently small times, we rigorously prove convergence to the classical two-phase Navier-Stokes system with surface tension. The idea of the proof is to use asymptotic expansions to construct an approximate solution and to estimate the difference of the exact and approximate solutions with a spectral estimate for the (at the approximate solution) linearized Allen-Cahn operator. In the calculations we use a fractional order ansatz and new ansatz terms in higher orders leading to a suitable ε-scaled and coupled model problem. Moreover, we apply the novel idea of introducing ε-dependent coordinates. acknowledgement: "Open Access funding enabled and organized by Projekt DEAL.\r\nM. Fei was partially supported by NSF of China under Grant No. 12271004 and Anhui Provincial Funding Project under Grant Nos. gxbjZD2022009 and 2308085J10. Moreover, M. Moser has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant Agreement No 948819)." article_number: '94' article_processing_charge: Yes (via OA deal) article_type: original arxiv: 1 author: - first_name: Helmut full_name: Abels, Helmut last_name: Abels - first_name: Mingwen full_name: Fei, Mingwen last_name: Fei - first_name: Maximilian full_name: Moser, Maximilian id: a60047a9-da77-11eb-85b4-c4dc385ebb8c last_name: Moser citation: ama: Abels H, Fei M, Moser M. Sharp interface limit for a Navier–Stokes/Allen–Cahn system in the case of a vanishing mobility. Calculus of Variations and Partial Differential Equations. 2024;63(4). doi:10.1007/s00526-024-02715-7 apa: Abels, H., Fei, M., & Moser, M. (2024). Sharp interface limit for a Navier–Stokes/Allen–Cahn system in the case of a vanishing mobility. Calculus of Variations and Partial Differential Equations. Springer Nature. https://doi.org/10.1007/s00526-024-02715-7 chicago: Abels, Helmut, Mingwen Fei, and Maximilian Moser. “Sharp Interface Limit for a Navier–Stokes/Allen–Cahn System in the Case of a Vanishing Mobility.” Calculus of Variations and Partial Differential Equations. Springer Nature, 2024. https://doi.org/10.1007/s00526-024-02715-7. ieee: H. Abels, M. Fei, and M. Moser, “Sharp interface limit for a Navier–Stokes/Allen–Cahn system in the case of a vanishing mobility,” Calculus of Variations and Partial Differential Equations, vol. 63, no. 4. Springer Nature, 2024. ista: Abels H, Fei M, Moser M. 2024. Sharp interface limit for a Navier–Stokes/Allen–Cahn system in the case of a vanishing mobility. Calculus of Variations and Partial Differential Equations. 63(4), 94. mla: Abels, Helmut, et al. “Sharp Interface Limit for a Navier–Stokes/Allen–Cahn System in the Case of a Vanishing Mobility.” Calculus of Variations and Partial Differential Equations, vol. 63, no. 4, 94, Springer Nature, 2024, doi:10.1007/s00526-024-02715-7. short: H. Abels, M. Fei, M. Moser, Calculus of Variations and Partial Differential Equations 63 (2024). das_tickbox: '0' date_created: 2024-04-21T22:00:52Z date_published: 2024-05-01T00:00:00Z date_updated: 2026-10-15T09:47:15Z day: '01' ddc: - '510' department: - _id: JuFi doi: 10.1007/s00526-024-02715-7 ec_funded: 1 external_id: arxiv: - '2304.12096' isi: - '001199418100002' file: - access_level: open_access checksum: b1095fad4cae596f52cc616a973bdde2 content_type: application/pdf creator: dernst date_created: 2024-04-23T07:30:48Z date_updated: 2024-04-23T07:30:48Z file_id: '15343' file_name: 2024_CalculusEquations_Abels.pdf file_size: 975186 relation: main_file success: 1 file_date_updated: 2024-04-23T07:30:48Z fulldoi: https://doi.org/10.1007/s00526-024-02715-7 has_accepted_license: '1' intvolume: ' 63' isi: 1 issue: '4' language: - iso: eng month: '05' oa: 1 oa_version: Published Version project: - _id: 0aa76401-070f-11eb-9043-b5bb049fa26d call_identifier: H2020 grant_number: '948819' name: Bridging Scales in Random Materials publication: Calculus of Variations and Partial Differential Equations publication_identifier: eissn: - 1432-0835 issn: - 0944-2669 publication_status: published publisher: Springer Nature quality_controlled: '1' researchdata_availability: no scopus_import: '1' status: public supplementarymaterial: no title: Sharp interface limit for a Navier–Stokes/Allen–Cahn system in the case of a vanishing mobility tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 63 year: '2024' ...