--- _id: '17591' abstract: - lang: eng text: "The rotational kinematic Sunyaev-Zeldovich (rkSZ) signal, imprinted on the cosmic microwave background (CMB) by the gaseous halos (spinning “atmospheres”) of foreground galaxies, would be a novel probe of galaxy formation. Although the signal is too weak to detect in individual galaxies, we analyze the feasibility of its statistical detection via stacking CMB data on many galaxies for which the spin orientation can be estimated spectroscopically. We use an “optimistic” model, in which fully ionized atmospheres contain the cosmic baryon fraction and spin at the halo’s circular velocity \U0001D463circ, and a more realistic model, based on hydrodynamical simulations, with multiphase atmospheres spinning at a fraction of \U0001D463circ. We incorporate realistic noise estimates into our analysis. Using low-redshift galaxy properties from the MaNGA spectroscopic survey (with median halo mass of 6.6×1011  \U0001D440⊙), and CMB data quality from Planck, we find that a 3⁢\U0001D70E detection would require a few×104 galaxies, even in the optimistic model. This is too high for current surveys, but upcoming higher-angular resolution CMB experiments will significantly reduce the requirements: stacking CMB data on galaxy spins in a ∼10 deg2 can rule out the optimistic models, and ≈350  deg2 will suffice for a 3⁢\U0001D70E detection with ACT. As a proof-of-concept, we stacked Planck data on the position of ≈2,000 MaNGA galaxies, aligned with the galaxies’ projected spin, and scaled to their halos’ angular size. We rule out average temperature dipoles larger than ≈1.9  \U0001D707⁢K around field spiral galaxies." article_number: '083016' article_processing_charge: No article_type: original arxiv: 1 author: - first_name: José Manuel Zorrilla full_name: Matilla, José Manuel Zorrilla last_name: Matilla - first_name: Zoltán full_name: Haiman, Zoltán id: 7c006e8c-cc0d-11ee-8322-cb904ef76f36 last_name: Haiman citation: ama: Matilla JMZ, Haiman Z. Probing gaseous galactic halos through the rotational kinematic Sunyaev-Zeldovich effect. Physical Review D. 2020;101(8). doi:10.1103/physrevd.101.083016 apa: Matilla, J. M. Z., & Haiman, Z. (2020). Probing gaseous galactic halos through the rotational kinematic Sunyaev-Zeldovich effect. Physical Review D. American Physical Society. https://doi.org/10.1103/physrevd.101.083016 chicago: Matilla, José Manuel Zorrilla, and Zoltán Haiman. “Probing Gaseous Galactic Halos through the Rotational Kinematic Sunyaev-Zeldovich Effect.” Physical Review D. American Physical Society, 2020. https://doi.org/10.1103/physrevd.101.083016. ieee: J. M. Z. Matilla and Z. Haiman, “Probing gaseous galactic halos through the rotational kinematic Sunyaev-Zeldovich effect,” Physical Review D, vol. 101, no. 8. American Physical Society, 2020. ista: Matilla JMZ, Haiman Z. 2020. Probing gaseous galactic halos through the rotational kinematic Sunyaev-Zeldovich effect. Physical Review D. 101(8), 083016. mla: Matilla, José Manuel Zorrilla, and Zoltán Haiman. “Probing Gaseous Galactic Halos through the Rotational Kinematic Sunyaev-Zeldovich Effect.” Physical Review D, vol. 101, no. 8, 083016, American Physical Society, 2020, doi:10.1103/physrevd.101.083016. short: J.M.Z. Matilla, Z. Haiman, Physical Review D 101 (2020). date_created: 2024-09-05T12:37:26Z date_published: 2020-04-10T00:00:00Z date_updated: 2024-09-19T12:26:58Z day: '10' doi: 10.1103/physrevd.101.083016 extern: '1' external_id: arxiv: - '1909.04690' intvolume: ' 101' issue: '8' language: - iso: eng main_file_link: - open_access: '1' url: ' https://doi.org/10.48550/arXiv.1909.04690' month: '04' oa: 1 oa_version: Preprint publication: Physical Review D publication_identifier: issn: - 2470-0010 - 2470-0029 publication_status: published publisher: American Physical Society quality_controlled: '1' scopus_import: '1' status: public title: Probing gaseous galactic halos through the rotational kinematic Sunyaev-Zeldovich effect type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 101 year: '2020' ... --- _id: '17595' abstract: - lang: eng text: We study the thermal evolution of UV-irradiated atomic cooling haloes using high-resolution three-dimensional hydrodynamic simulations. We consider the effect of H− photodetachment by Lyα cooling radiation trapped in the optically-thick cores of three such haloes, a process that has not been included in previous simulations. Because H− is a precursor of molecular hydrogen, its destruction can diminish the H2 abundance and cooling. We find that the critical UV flux for suppressing H2-cooling is decreased by ∼15–50 per cent in our fiducial models. Previous one-zone modelling found a larger effect, with Jcrit reduced by a factor of a few; we show that adopting a constant halo mass to determine the trapped Lyα energy density, as is done in the one-zone models, yields a larger reduction in Jcrit, consistent with their findings. Our results nevertheless suggest that Lyα radiation may have an important effect on the thermal evolution of UV-irradiated haloes, and therefore on the potential for massive black hole formation. article_processing_charge: No article_type: original author: - first_name: Jemma full_name: Wolcott-Green, Jemma last_name: Wolcott-Green - first_name: Zoltán full_name: Haiman, Zoltán id: 7c006e8c-cc0d-11ee-8322-cb904ef76f36 last_name: Haiman - first_name: Greg L full_name: Bryan, Greg L last_name: Bryan citation: ama: Wolcott-Green J, Haiman Z, Bryan GL. Suppression of H2 cooling in protogalaxies aided by trapped Lyα cooling radiation. Monthly Notices of the Royal Astronomical Society. 2020;500(1):138-144. doi:10.1093/mnras/staa3057 apa: Wolcott-Green, J., Haiman, Z., & Bryan, G. L. (2020). Suppression of H2 cooling in protogalaxies aided by trapped Lyα cooling radiation. Monthly Notices of the Royal Astronomical Society. Oxford University Press. https://doi.org/10.1093/mnras/staa3057 chicago: Wolcott-Green, Jemma, Zoltán Haiman, and Greg L Bryan. “Suppression of H2 Cooling in Protogalaxies Aided by Trapped Lyα Cooling Radiation.” Monthly Notices of the Royal Astronomical Society. Oxford University Press, 2020. https://doi.org/10.1093/mnras/staa3057. ieee: J. Wolcott-Green, Z. Haiman, and G. L. Bryan, “Suppression of H2 cooling in protogalaxies aided by trapped Lyα cooling radiation,” Monthly Notices of the Royal Astronomical Society, vol. 500, no. 1. Oxford University Press, pp. 138–144, 2020. ista: Wolcott-Green J, Haiman Z, Bryan GL. 2020. Suppression of H2 cooling in protogalaxies aided by trapped Lyα cooling radiation. Monthly Notices of the Royal Astronomical Society. 500(1), 138–144. mla: Wolcott-Green, Jemma, et al. “Suppression of H2 Cooling in Protogalaxies Aided by Trapped Lyα Cooling Radiation.” Monthly Notices of the Royal Astronomical Society, vol. 500, no. 1, Oxford University Press, 2020, pp. 138–44, doi:10.1093/mnras/staa3057. short: J. Wolcott-Green, Z. Haiman, G.L. Bryan, Monthly Notices of the Royal Astronomical Society 500 (2020) 138–144. date_created: 2024-09-05T12:42:37Z date_published: 2020-10-09T00:00:00Z date_updated: 2024-09-23T12:42:07Z day: '09' doi: 10.1093/mnras/staa3057 extern: '1' intvolume: ' 500' issue: '1' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.1093/mnras/staa3057 month: '10' oa: 1 oa_version: Published Version page: 138-144 publication: Monthly Notices of the Royal Astronomical Society publication_identifier: issn: - 0035-8711 - 1365-2966 publication_status: published publisher: Oxford University Press quality_controlled: '1' scopus_import: '1' status: public title: Suppression of H2 cooling in protogalaxies aided by trapped Lyα cooling radiation type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 500 year: '2020' ... --- _id: '17596' abstract: - lang: eng text: Binary black hole mergers encode information about their environment and the astrophysical processes that led to their formation. Measuring the redshift dependence of their merger rate will help probe the formation and evolution of galaxies and the evolution of the star formation rate. Here we compute the cosmic evolution of the merger rate for stellar-mass binaries in the disks of active galactic nuclei (AGNs). We focus on recent evolution out to redshift z = 2, covering the accessible range of current Earth-based gravitational-wave observatories. On this scale, the AGN population density is the main contributor to redshift dependence. We find that the AGN-assisted merger rate varies by less than a factor of two in the range 0 < z ≤ 2, comparable to the expected level of evolution for globular clusters, but much smaller than the order-of-magnitude evolution for field binaries. article_number: '138' article_processing_charge: No article_type: original arxiv: 1 author: - first_name: Y. full_name: Yang, Y. last_name: Yang - first_name: I. full_name: Bartos, I. last_name: Bartos - first_name: Zoltán full_name: Haiman, Zoltán id: 7c006e8c-cc0d-11ee-8322-cb904ef76f36 last_name: Haiman - first_name: B. full_name: Kocsis, B. last_name: Kocsis - first_name: S. full_name: Márka, S. last_name: Márka - first_name: H. full_name: Tagawa, H. last_name: Tagawa citation: ama: Yang Y, Bartos I, Haiman Z, Kocsis B, Márka S, Tagawa H. Cosmic evolution of stellar-mass black hole merger rate in active galactic nuclei. The Astrophysical Journal. 2020;896(2). doi:10.3847/1538-4357/ab91b4 apa: Yang, Y., Bartos, I., Haiman, Z., Kocsis, B., Márka, S., & Tagawa, H. (2020). Cosmic evolution of stellar-mass black hole merger rate in active galactic nuclei. The Astrophysical Journal. American Astronomical Society. https://doi.org/10.3847/1538-4357/ab91b4 chicago: Yang, Y., I. Bartos, Zoltán Haiman, B. Kocsis, S. Márka, and H. Tagawa. “Cosmic Evolution of Stellar-Mass Black Hole Merger Rate in Active Galactic Nuclei.” The Astrophysical Journal. American Astronomical Society, 2020. https://doi.org/10.3847/1538-4357/ab91b4. ieee: Y. Yang, I. Bartos, Z. Haiman, B. Kocsis, S. Márka, and H. Tagawa, “Cosmic evolution of stellar-mass black hole merger rate in active galactic nuclei,” The Astrophysical Journal, vol. 896, no. 2. American Astronomical Society, 2020. ista: Yang Y, Bartos I, Haiman Z, Kocsis B, Márka S, Tagawa H. 2020. Cosmic evolution of stellar-mass black hole merger rate in active galactic nuclei. The Astrophysical Journal. 896(2), 138. mla: Yang, Y., et al. “Cosmic Evolution of Stellar-Mass Black Hole Merger Rate in Active Galactic Nuclei.” The Astrophysical Journal, vol. 896, no. 2, 138, American Astronomical Society, 2020, doi:10.3847/1538-4357/ab91b4. short: Y. Yang, I. Bartos, Z. Haiman, B. Kocsis, S. Márka, H. Tagawa, The Astrophysical Journal 896 (2020). date_created: 2024-09-05T12:43:28Z date_published: 2020-06-22T00:00:00Z date_updated: 2024-09-23T12:59:52Z day: '22' doi: 10.3847/1538-4357/ab91b4 extern: '1' external_id: arxiv: - '2003.08564' intvolume: ' 896' issue: '2' language: - iso: eng main_file_link: - open_access: '1' url: ' https://doi.org/10.48550/arXiv.2003.08564' month: '06' oa: 1 oa_version: Preprint publication: The Astrophysical Journal publication_identifier: issn: - 0004-637X - 1538-4357 publication_status: published publisher: American Astronomical Society quality_controlled: '1' scopus_import: '1' status: public title: Cosmic evolution of stellar-mass black hole merger rate in active galactic nuclei type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 896 year: '2020' ... --- _id: '17597' abstract: - lang: eng text: Deep Neural Networks (DNNs) are powerful algorithms that have been proven capable of extracting non-Gaussian information from weak lensing (WL) data sets. Understanding which features in the data determine the output of these nested, non-linear algorithms is an important but challenging task. We analyze a DNN that has been found in previous work to accurately recover cosmological parameters in simulated maps of the WL convergence (κ). We derive constraints on the cosmological parameter pair (Ωm,σ8) from a combination of three commonly used WL statistics (power spectrum, lensing peaks, and Minkowski functionals), using ray-traced simulated κ maps. We show that the network can improve the inferred parameter constraints relative to this combination by 20% even in the presence of realistic levels of shape noise. We apply a series of well established saliency methods to interpret the DNN and find that the most relevant pixels are those with extreme κ values. For noiseless maps, regions with negative κ account for 86−69% of the attribution of the DNN output, defined as the square of the saliency in input space. In the presence of shape nose, the attribution concentrates in high convergence regions, with 36−68% of the attribution in regions with κ>3σκ. article_number: '123506' article_processing_charge: No article_type: original arxiv: 1 author: - first_name: José Manuel Zorrilla full_name: Matilla, José Manuel Zorrilla last_name: Matilla - first_name: Manasi full_name: Sharma, Manasi last_name: Sharma - first_name: Daniel full_name: Hsu, Daniel last_name: Hsu - first_name: Zoltán full_name: Haiman, Zoltán id: 7c006e8c-cc0d-11ee-8322-cb904ef76f36 last_name: Haiman citation: ama: Matilla JMZ, Sharma M, Hsu D, Haiman Z. Interpreting deep learning models for weak lensing. Physical Review D. 2020;102(12). doi:10.1103/physrevd.102.123506 apa: Matilla, J. M. Z., Sharma, M., Hsu, D., & Haiman, Z. (2020). Interpreting deep learning models for weak lensing. Physical Review D. American Physical Society. https://doi.org/10.1103/physrevd.102.123506 chicago: Matilla, José Manuel Zorrilla, Manasi Sharma, Daniel Hsu, and Zoltán Haiman. “Interpreting Deep Learning Models for Weak Lensing.” Physical Review D. American Physical Society, 2020. https://doi.org/10.1103/physrevd.102.123506. ieee: J. M. Z. Matilla, M. Sharma, D. Hsu, and Z. Haiman, “Interpreting deep learning models for weak lensing,” Physical Review D, vol. 102, no. 12. American Physical Society, 2020. ista: Matilla JMZ, Sharma M, Hsu D, Haiman Z. 2020. Interpreting deep learning models for weak lensing. Physical Review D. 102(12), 123506. mla: Matilla, José Manuel Zorrilla, et al. “Interpreting Deep Learning Models for Weak Lensing.” Physical Review D, vol. 102, no. 12, 123506, American Physical Society, 2020, doi:10.1103/physrevd.102.123506. short: J.M.Z. Matilla, M. Sharma, D. Hsu, Z. Haiman, Physical Review D 102 (2020). date_created: 2024-09-05T12:44:45Z date_published: 2020-07-09T00:00:00Z date_updated: 2024-09-23T13:04:36Z day: '09' doi: 10.1103/physrevd.102.123506 extern: '1' external_id: arxiv: - '2007.06529' intvolume: ' 102' issue: '12' language: - iso: eng main_file_link: - open_access: '1' url: ' https://doi.org/10.48550/arXiv.2007.06529' month: '07' oa: 1 oa_version: Preprint publication: Physical Review D publication_identifier: issn: - 2470-0010 - 2470-0029 publication_status: published publisher: American Physical Society quality_controlled: '1' scopus_import: '1' status: public title: Interpreting deep learning models for weak lensing type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 102 year: '2020' ... --- _id: '17600' abstract: - lang: eng text: The quest for binary and dual supermassive black holes (SMBHs) at the dawn of the multi-messenger era is compelling. Detecting dual active galactic nuclei (AGN) – active SMBHs at projected separations larger than several parsecs – and binary AGN – probing the scale where SMBHs are bound in a Keplerian binary – is an observational challenge. The study of AGN pairs (either dual or binary) also represents an overarching theoretical problem in cosmology and astrophysics. The AGN triggering calls for detailed knowledge of the hydrodynamical conditions of gas in the imminent surroundings of the SMBHs and, at the same time, their duality calls for detailed knowledge on how galaxies assemble through major and minor mergers and grow fed by matter along the filaments of the cosmic web. This review describes the techniques used across the electromagnetic spectrum to detect dual and binary AGN candidates and proposes new avenues for their search. The current observational status is compared with the state-of-the-art numerical simulations and models for formation of dual and binary AGN. Binary SMBHs are among the loudest sources of gravitational waves (GWs) in the Universe. The search for a background of GWs at nHz frequencies from inspiralling SMBHs at low redshifts, and the direct detection of signals from their coalescence by the Laser Interferometer Space Antenna in the next decade, make this a theme of major interest for multi-messenger astrophysics. This review discusses the future facilities and observational strategies that are likely to significantly advance this fascinating field. article_number: '101525' article_processing_charge: No article_type: original arxiv: 1 author: - first_name: Alessandra full_name: De Rosa, Alessandra last_name: De Rosa - first_name: Cristian full_name: Vignali, Cristian last_name: Vignali - first_name: Tamara full_name: Bogdanović, Tamara last_name: Bogdanović - first_name: Pedro R. full_name: Capelo, Pedro R. last_name: Capelo - first_name: Maria full_name: Charisi, Maria last_name: Charisi - first_name: Massimo full_name: Dotti, Massimo last_name: Dotti - first_name: Bernd full_name: Husemann, Bernd last_name: Husemann - first_name: Elisabeta full_name: Lusso, Elisabeta last_name: Lusso - first_name: Lucio full_name: Mayer, Lucio last_name: Mayer - first_name: Zsolt full_name: Paragi, Zsolt last_name: Paragi - first_name: Jessie full_name: Runnoe, Jessie last_name: Runnoe - first_name: Alberto full_name: Sesana, Alberto last_name: Sesana - first_name: Lisa full_name: Steinborn, Lisa last_name: Steinborn - first_name: Stefano full_name: Bianchi, Stefano last_name: Bianchi - first_name: Monica full_name: Colpi, Monica last_name: Colpi - first_name: Luciano full_name: del Valle, Luciano last_name: del Valle - first_name: Sándor full_name: Frey, Sándor last_name: Frey - first_name: Krisztina É. full_name: Gabányi, Krisztina É. last_name: Gabányi - first_name: Margherita full_name: Giustini, Margherita last_name: Giustini - first_name: Matteo full_name: Guainazzi, Matteo last_name: Guainazzi - first_name: Zoltán full_name: Haiman, Zoltán id: 7c006e8c-cc0d-11ee-8322-cb904ef76f36 last_name: Haiman - first_name: Noelia full_name: Herrera Ruiz, Noelia last_name: Herrera Ruiz - first_name: Rubén full_name: Herrero-Illana, Rubén last_name: Herrero-Illana - first_name: Kazushi full_name: Iwasawa, Kazushi last_name: Iwasawa - first_name: S. full_name: Komossa, S. last_name: Komossa - first_name: Davide full_name: Lena, Davide last_name: Lena - first_name: Nora full_name: Loiseau, Nora last_name: Loiseau - first_name: Miguel full_name: Perez-Torres, Miguel last_name: Perez-Torres - first_name: Enrico full_name: Piconcelli, Enrico last_name: Piconcelli - first_name: Marta full_name: Volonteri, Marta last_name: Volonteri citation: ama: 'De Rosa A, Vignali C, Bogdanović T, et al. The quest for dual and binary supermassive black holes: A multi-messenger view. New Astronomy Reviews. 2020;86. doi:10.1016/j.newar.2020.101525' apa: 'De Rosa, A., Vignali, C., Bogdanović, T., Capelo, P. R., Charisi, M., Dotti, M., … Volonteri, M. (2020). The quest for dual and binary supermassive black holes: A multi-messenger view. New Astronomy Reviews. Elsevier BV. https://doi.org/10.1016/j.newar.2020.101525' chicago: 'De Rosa, Alessandra, Cristian Vignali, Tamara Bogdanović, Pedro R. Capelo, Maria Charisi, Massimo Dotti, Bernd Husemann, et al. “The Quest for Dual and Binary Supermassive Black Holes: A Multi-Messenger View.” New Astronomy Reviews. Elsevier BV, 2020. https://doi.org/10.1016/j.newar.2020.101525.' ieee: 'A. De Rosa et al., “The quest for dual and binary supermassive black holes: A multi-messenger view,” New Astronomy Reviews, vol. 86. Elsevier BV, 2020.' ista: 'De Rosa A, Vignali C, Bogdanović T, Capelo PR, Charisi M, Dotti M, Husemann B, Lusso E, Mayer L, Paragi Z, Runnoe J, Sesana A, Steinborn L, Bianchi S, Colpi M, del Valle L, Frey S, Gabányi KÉ, Giustini M, Guainazzi M, Haiman Z, Herrera Ruiz N, Herrero-Illana R, Iwasawa K, Komossa S, Lena D, Loiseau N, Perez-Torres M, Piconcelli E, Volonteri M. 2020. The quest for dual and binary supermassive black holes: A multi-messenger view. New Astronomy Reviews. 86, 101525.' mla: 'De Rosa, Alessandra, et al. “The Quest for Dual and Binary Supermassive Black Holes: A Multi-Messenger View.” New Astronomy Reviews, vol. 86, 101525, Elsevier BV, 2020, doi:10.1016/j.newar.2020.101525.' short: A. De Rosa, C. Vignali, T. Bogdanović, P.R. Capelo, M. Charisi, M. Dotti, B. Husemann, E. Lusso, L. Mayer, Z. Paragi, J. Runnoe, A. Sesana, L. Steinborn, S. Bianchi, M. Colpi, L. del Valle, S. Frey, K.É. Gabányi, M. Giustini, M. Guainazzi, Z. Haiman, N. Herrera Ruiz, R. Herrero-Illana, K. Iwasawa, S. Komossa, D. Lena, N. Loiseau, M. Perez-Torres, E. Piconcelli, M. Volonteri, New Astronomy Reviews 86 (2020). date_created: 2024-09-05T13:07:32Z date_published: 2020-01-17T00:00:00Z date_updated: 2024-09-23T13:34:58Z day: '17' doi: 10.1016/j.newar.2020.101525 extern: '1' external_id: arxiv: - '2001.06293' intvolume: ' 86' language: - iso: eng main_file_link: - open_access: '1' url: ' https://doi.org/10.48550/arXiv.2001.06293' month: '01' oa: 1 oa_version: Preprint publication: New Astronomy Reviews publication_identifier: issn: - 1387-6473 publication_status: published publisher: Elsevier BV quality_controlled: '1' scopus_import: '1' status: public title: 'The quest for dual and binary supermassive black holes: A multi-messenger view' type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 86 year: '2020' ... --- _id: '17601' abstract: - lang: eng text: Using numerical hydrodynamics calculations and a novel method for densely sampling parameter space, we measure the accretion and torque on a binary system from a circumbinary disk. In agreement with some earlier studies, we find that the net torque on the binary is positive for mass ratios close to unity, and that accretion always drives the binary toward equal mass. Accretion variability depends sensitively on the numerical sink prescription, but the torque and relative accretion onto each component do not depend on the sink timescale. Positive torque and highly variable accretion occurs only for mass ratios greater than around 0.05. This means that for mass ratios below 0.05, the binary would migrate inward until the secondary accreted sufficient mass, after which it would execute a U-turn and migrate outward. We explore a range of viscosities, from α = 0.03 to α = 0.15, and find that this outward torque is proportional to the viscous torque, so that torque per unit accreted mass is independent of α. Dependence of accretion and torque on mass ratio is explored in detail, densely sampling mass ratios between 0.01 and unity. For mass ratio q > 0.2, accretion variability is found to exhibit a distinct sawtooth pattern, typically with a five-orbit cycle that provides a smoking gun prediction for variable quasars observed over long periods, as a potential means to confirm the presence of a binary. article_number: '25' article_processing_charge: No article_type: original arxiv: 1 author: - first_name: Paul C. full_name: Duffell, Paul C. last_name: Duffell - first_name: Daniel full_name: D’Orazio, Daniel last_name: D’Orazio - first_name: Andrea full_name: Derdzinski, Andrea last_name: Derdzinski - first_name: Zoltán full_name: Haiman, Zoltán id: 7c006e8c-cc0d-11ee-8322-cb904ef76f36 last_name: Haiman - first_name: Andrew full_name: MacFadyen, Andrew last_name: MacFadyen - first_name: Anna L. full_name: Rosen, Anna L. last_name: Rosen - first_name: Jonathan full_name: Zrake, Jonathan last_name: Zrake citation: ama: 'Duffell PC, D’Orazio D, Derdzinski A, et al. Circumbinary disks: Accretion and torque as a function of mass ratio and disk viscosity. The Astrophysical Journal. 2020;901(1). doi:10.3847/1538-4357/abab95' apa: 'Duffell, P. C., D’Orazio, D., Derdzinski, A., Haiman, Z., MacFadyen, A., Rosen, A. L., & Zrake, J. (2020). Circumbinary disks: Accretion and torque as a function of mass ratio and disk viscosity. The Astrophysical Journal. American Astronomical Society. https://doi.org/10.3847/1538-4357/abab95' chicago: 'Duffell, Paul C., Daniel D’Orazio, Andrea Derdzinski, Zoltán Haiman, Andrew MacFadyen, Anna L. Rosen, and Jonathan Zrake. “Circumbinary Disks: Accretion and Torque as a Function of Mass Ratio and Disk Viscosity.” The Astrophysical Journal. American Astronomical Society, 2020. https://doi.org/10.3847/1538-4357/abab95.' ieee: 'P. C. Duffell et al., “Circumbinary disks: Accretion and torque as a function of mass ratio and disk viscosity,” The Astrophysical Journal, vol. 901, no. 1. American Astronomical Society, 2020.' ista: 'Duffell PC, D’Orazio D, Derdzinski A, Haiman Z, MacFadyen A, Rosen AL, Zrake J. 2020. Circumbinary disks: Accretion and torque as a function of mass ratio and disk viscosity. The Astrophysical Journal. 901(1), 25.' mla: 'Duffell, Paul C., et al. “Circumbinary Disks: Accretion and Torque as a Function of Mass Ratio and Disk Viscosity.” The Astrophysical Journal, vol. 901, no. 1, 25, American Astronomical Society, 2020, doi:10.3847/1538-4357/abab95.' short: P.C. Duffell, D. D’Orazio, A. Derdzinski, Z. Haiman, A. MacFadyen, A.L. Rosen, J. Zrake, The Astrophysical Journal 901 (2020). date_created: 2024-09-05T13:08:20Z date_published: 2020-09-17T00:00:00Z date_updated: 2024-09-23T13:39:03Z day: '17' doi: 10.3847/1538-4357/abab95 extern: '1' external_id: arxiv: - '1911.05506' intvolume: ' 901' issue: '1' language: - iso: eng main_file_link: - open_access: '1' url: ' https://doi.org/10.48550/arXiv.1911.05506' month: '09' oa: 1 oa_version: Preprint publication: The Astrophysical Journal publication_identifier: issn: - 0004-637X - 1538-4357 publication_status: published publisher: American Astronomical Society quality_controlled: '1' scopus_import: '1' status: public title: 'Circumbinary disks: Accretion and torque as a function of mass ratio and disk viscosity' type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 901 year: '2020' ... --- _id: '17604' abstract: - lang: eng text: 'Numerical studies of gas accretion onto supermassive black hole binaries (SMBHBs) have generally been limited to conditions where the circumbinary disk (CBD) is 10-100 times thicker than expected for disks in active galactic nuclei (AGN). This discrepancy arises from technical limitations, and also from publication bias toward replicating fiducial numerical models. Here we present the first systematic study of how the binary''s orbital evolution varies with disk scale height. We report three key results: (1) Binary orbital evolution switches from outspiralling for warm disks (aspect ratio ~0.1), to inspiralling for more realistic cooler, thinner disks at a critical aspect ratio ~0.04, corresponding to orbital Mach number ~25. (2) The net torque on the binary arises from a competition between positive torque from gas orbiting close to the black holes, and negative torque from the inner edge of the CBD, which is denser for thinner disks. This leads to increasingly negative net torques on the binary for increasingly thin disks. (3) The accretion rate is modestly suppressed with increasing Mach number. We discuss how our results may influence modeling of the nano-Hz gravitational wave background, as well as estimates of the LISA merger event rate.' article_number: '43' article_processing_charge: No article_type: original arxiv: 1 author: - first_name: Christopher full_name: Tiede, Christopher last_name: Tiede - first_name: Jonathan full_name: Zrake, Jonathan last_name: Zrake - first_name: Andrew full_name: MacFadyen, Andrew last_name: MacFadyen - first_name: Zoltán full_name: Haiman, Zoltán id: 7c006e8c-cc0d-11ee-8322-cb904ef76f36 last_name: Haiman citation: ama: Tiede C, Zrake J, MacFadyen A, Haiman Z. Gas-driven inspiral of binaries in thin accretion disks. The Astrophysical Journal. 2020;900(1). doi:10.3847/1538-4357/aba432 apa: Tiede, C., Zrake, J., MacFadyen, A., & Haiman, Z. (2020). Gas-driven inspiral of binaries in thin accretion disks. The Astrophysical Journal. American Astronomical Society. https://doi.org/10.3847/1538-4357/aba432 chicago: Tiede, Christopher, Jonathan Zrake, Andrew MacFadyen, and Zoltán Haiman. “Gas-Driven Inspiral of Binaries in Thin Accretion Disks.” The Astrophysical Journal. American Astronomical Society, 2020. https://doi.org/10.3847/1538-4357/aba432. ieee: C. Tiede, J. Zrake, A. MacFadyen, and Z. Haiman, “Gas-driven inspiral of binaries in thin accretion disks,” The Astrophysical Journal, vol. 900, no. 1. American Astronomical Society, 2020. ista: Tiede C, Zrake J, MacFadyen A, Haiman Z. 2020. Gas-driven inspiral of binaries in thin accretion disks. The Astrophysical Journal. 900(1), 43. mla: Tiede, Christopher, et al. “Gas-Driven Inspiral of Binaries in Thin Accretion Disks.” The Astrophysical Journal, vol. 900, no. 1, 43, American Astronomical Society, 2020, doi:10.3847/1538-4357/aba432. short: C. Tiede, J. Zrake, A. MacFadyen, Z. Haiman, The Astrophysical Journal 900 (2020). date_created: 2024-09-05T13:12:20Z date_published: 2020-08-28T00:00:00Z date_updated: 2024-09-23T13:59:30Z day: '28' doi: 10.3847/1538-4357/aba432 extern: '1' external_id: arxiv: - '2005.09555' intvolume: ' 900' issue: '1' language: - iso: eng main_file_link: - open_access: '1' url: ' https://doi.org/10.48550/arXiv.2005.09555' month: '08' oa: 1 oa_version: Preprint publication: The Astrophysical Journal publication_identifier: issn: - 0004-637X - 1538-4357 publication_status: published publisher: American Astronomical Society quality_controlled: '1' scopus_import: '1' status: public title: Gas-driven inspiral of binaries in thin accretion disks type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 900 year: '2020' ... --- _id: '17605' abstract: - lang: eng text: Despite the rapidly growing number of stellar-mass binary black hole mergers discovered through gravitational waves, the origin of these binaries is still not known. In galactic centers, black holes can be brought to each others' proximity by dynamical processes, resulting in mergers. It is also possible that black holes formed in previous mergers encounter new black holes, resulting in so-called hierarchical mergers. Hierarchical events carry signatures such as higher-than-usual black hole mass and spin. Here we show that the recently reported gravitational-wave candidate, GW170817A, could be the result of such a hierarchical merger. In particular, its chirp mass ∼40 M⊙ and effective spin of χeff ∼ 0.5 are the typically expected values from hierarchical mergers within the disks of active galactic nuclei. We find that the reconstructed parameters of GW170817A strongly favor a hierarchical merger origin over having been produced by an isolated binary origin (with an odds ratio of > 10^3). article_number: L20 article_processing_charge: No article_type: original arxiv: 1 author: - first_name: V. full_name: Gayathri, V. last_name: Gayathri - first_name: I. full_name: Bartos, I. last_name: Bartos - first_name: Zoltán full_name: Haiman, Zoltán id: 7c006e8c-cc0d-11ee-8322-cb904ef76f36 last_name: Haiman - first_name: S. full_name: Klimenko, S. last_name: Klimenko - first_name: B. full_name: Kocsis, B. last_name: Kocsis - first_name: S. full_name: Márka, S. last_name: Márka - first_name: Y. full_name: Yang, Y. last_name: Yang citation: ama: Gayathri V, Bartos I, Haiman Z, et al. GW170817A as a hierarchical black hole merger. The Astrophysical Journal Letters. 2020;890(2). doi:10.3847/2041-8213/ab745d apa: Gayathri, V., Bartos, I., Haiman, Z., Klimenko, S., Kocsis, B., Márka, S., & Yang, Y. (2020). GW170817A as a hierarchical black hole merger. The Astrophysical Journal Letters. American Astronomical Society. https://doi.org/10.3847/2041-8213/ab745d chicago: Gayathri, V., I. Bartos, Zoltán Haiman, S. Klimenko, B. Kocsis, S. Márka, and Y. Yang. “GW170817A as a Hierarchical Black Hole Merger.” The Astrophysical Journal Letters. American Astronomical Society, 2020. https://doi.org/10.3847/2041-8213/ab745d. ieee: V. Gayathri et al., “GW170817A as a hierarchical black hole merger,” The Astrophysical Journal Letters, vol. 890, no. 2. American Astronomical Society, 2020. ista: Gayathri V, Bartos I, Haiman Z, Klimenko S, Kocsis B, Márka S, Yang Y. 2020. GW170817A as a hierarchical black hole merger. The Astrophysical Journal Letters. 890(2), L20. mla: Gayathri, V., et al. “GW170817A as a Hierarchical Black Hole Merger.” The Astrophysical Journal Letters, vol. 890, no. 2, L20, American Astronomical Society, 2020, doi:10.3847/2041-8213/ab745d. short: V. Gayathri, I. Bartos, Z. Haiman, S. Klimenko, B. Kocsis, S. Márka, Y. Yang, The Astrophysical Journal Letters 890 (2020). date_created: 2024-09-05T13:13:33Z date_published: 2020-02-18T00:00:00Z date_updated: 2024-09-23T14:04:29Z day: '18' doi: 10.3847/2041-8213/ab745d extern: '1' external_id: arxiv: - '1911.11142' intvolume: ' 890' issue: '2' language: - iso: eng main_file_link: - open_access: '1' url: ' https://doi.org/10.48550/arXiv.1911.11142' month: '02' oa: 1 oa_version: Preprint publication: The Astrophysical Journal Letters publication_identifier: issn: - 2041-8205 - 2041-8213 publication_status: published publisher: American Astronomical Society quality_controlled: '1' scopus_import: '1' status: public title: GW170817A as a hierarchical black hole merger type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 890 year: '2020' ... --- _id: '17607' abstract: - lang: eng text: The heaviest neutron stars and lightest black holes expected to be produced by stellar evolution leave the mass-range 2.2 M⊙≲m≲5 M⊙ largely unpopulated. Objects found in this so-called lower mass gap likely originate from a distinct astrophysical process. Such an object, with mass 2.6 M⊙ was recently detected in the binary merger GW190814 through gravitational waves by LIGO/Virgo. Here we show that black holes in the mass gap are naturally assembled through mergers and accretion in AGN disks, and can subsequently participate in additional mergers. We compute the properties of AGN-assisted mergers involving neutron stars and black holes, accounting for accretion. We find that mergers in which one of the objects is in the lower mass gap represent up to 4% of AGN-assisted mergers detectable by LIGO/Virgo. The lighter object of GW190814, with mass 2.6 M⊙, could have grown in an AGN disk through accretion. We find that the unexpectedly high total mass of 3.4 M⊙ observed in the neutron star merger GW190425 may also be due to accretion in an AGN disk. article_number: L34 article_processing_charge: No article_type: original arxiv: 1 author: - first_name: Y. full_name: Yang, Y. last_name: Yang - first_name: V. full_name: Gayathri, V. last_name: Gayathri - first_name: I. full_name: Bartos, I. last_name: Bartos - first_name: Zoltán full_name: Haiman, Zoltán id: 7c006e8c-cc0d-11ee-8322-cb904ef76f36 last_name: Haiman - first_name: M. full_name: Safarzadeh, M. last_name: Safarzadeh - first_name: H. full_name: Tagawa, H. last_name: Tagawa citation: ama: Yang Y, Gayathri V, Bartos I, Haiman Z, Safarzadeh M, Tagawa H. Black hole formation in the lower mass gap through mergers and accretion in AGN disks. The Astrophysical Journal Letters. 2020;901(2). doi:10.3847/2041-8213/abb940 apa: Yang, Y., Gayathri, V., Bartos, I., Haiman, Z., Safarzadeh, M., & Tagawa, H. (2020). Black hole formation in the lower mass gap through mergers and accretion in AGN disks. The Astrophysical Journal Letters. American Astronomical Society. https://doi.org/10.3847/2041-8213/abb940 chicago: Yang, Y., V. Gayathri, I. Bartos, Zoltán Haiman, M. Safarzadeh, and H. Tagawa. “Black Hole Formation in the Lower Mass Gap through Mergers and Accretion in AGN Disks.” The Astrophysical Journal Letters. American Astronomical Society, 2020. https://doi.org/10.3847/2041-8213/abb940. ieee: Y. Yang, V. Gayathri, I. Bartos, Z. Haiman, M. Safarzadeh, and H. Tagawa, “Black hole formation in the lower mass gap through mergers and accretion in AGN disks,” The Astrophysical Journal Letters, vol. 901, no. 2. American Astronomical Society, 2020. ista: Yang Y, Gayathri V, Bartos I, Haiman Z, Safarzadeh M, Tagawa H. 2020. Black hole formation in the lower mass gap through mergers and accretion in AGN disks. The Astrophysical Journal Letters. 901(2), L34. mla: Yang, Y., et al. “Black Hole Formation in the Lower Mass Gap through Mergers and Accretion in AGN Disks.” The Astrophysical Journal Letters, vol. 901, no. 2, L34, American Astronomical Society, 2020, doi:10.3847/2041-8213/abb940. short: Y. Yang, V. Gayathri, I. Bartos, Z. Haiman, M. Safarzadeh, H. Tagawa, The Astrophysical Journal Letters 901 (2020). date_created: 2024-09-05T13:15:59Z date_published: 2020-10-01T00:00:00Z date_updated: 2024-09-23T14:16:49Z day: '01' doi: 10.3847/2041-8213/abb940 extern: '1' external_id: arxiv: - '2007.04781' intvolume: ' 901' issue: '2' language: - iso: eng main_file_link: - open_access: '1' url: ' https://doi.org/10.48550/arXiv.2007.04781' month: '10' oa: 1 oa_version: Preprint publication: The Astrophysical Journal Letters publication_identifier: issn: - 2041-8205 - 2041-8213 publication_status: published publisher: American Astronomical Society quality_controlled: '1' scopus_import: '1' status: public title: Black hole formation in the lower mass gap through mergers and accretion in AGN disks type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 901 year: '2020' ... --- OA_place: repository OA_type: green _id: '17908' abstract: - lang: eng text: Ferrocenes are ubiquitous organometallic building blocks that comprise a Fe atom sandwiched between two cyclopentadienyl (Cp) rings that rotate freely at room temperature. Of widespread interest in fundamental studies and real-world applications, they have also attracted some interest as functional elements of molecular-scale devices. Here we investigate the impact of the configurational degrees of freedom of a ferrocene derivative on its single-molecule junction conductance. Measurements indicate that the conductance of the ferrocene derivative, which is suppressed by 2 orders of magnitude as compared to a fully conjugated analogue, can be modulated by altering the junction configuration. Ab initio transport calculations show that the low conductance is a consequence of destructive quantum interference effects of the Fano type that arise from the hybridization of localized metal-based d-orbitals and the delocalized ligand-based π-system. By rotation of the Cp rings, the hybridization, and thus the quantum interference, can be mechanically controlled, resulting in a conductance modulation that is seen experimentally. article_processing_charge: No article_type: letter_note author: - first_name: María full_name: Camarasa-Gómez, María last_name: Camarasa-Gómez - first_name: Daniel full_name: Hernangómez-Pérez, Daniel last_name: Hernangómez-Pérez - first_name: Michael S. full_name: Inkpen, Michael S. last_name: Inkpen - first_name: Giacomo full_name: Lovat, Giacomo last_name: Lovat - first_name: E-Dean full_name: Fung, E-Dean last_name: Fung - first_name: Xavier full_name: Roy, Xavier last_name: Roy - first_name: Latha full_name: Venkataraman, Latha id: 9ebb78a5-cc0d-11ee-8322-fae086a32caf last_name: Venkataraman orcid: 0000-0002-6957-6089 - first_name: Ferdinand full_name: Evers, Ferdinand last_name: Evers citation: ama: Camarasa-Gómez M, Hernangómez-Pérez D, Inkpen MS, et al. Mechanically tunable quantum interference in ferrocene-based single-molecule junctions. Nano Letters. 2020;20(9):6381-6386. doi:10.1021/acs.nanolett.0c01956 apa: Camarasa-Gómez, M., Hernangómez-Pérez, D., Inkpen, M. S., Lovat, G., Fung, E.-D., Roy, X., … Evers, F. (2020). Mechanically tunable quantum interference in ferrocene-based single-molecule junctions. Nano Letters. American Chemical Society. https://doi.org/10.1021/acs.nanolett.0c01956 chicago: Camarasa-Gómez, María, Daniel Hernangómez-Pérez, Michael S. Inkpen, Giacomo Lovat, E-Dean Fung, Xavier Roy, Latha Venkataraman, and Ferdinand Evers. “Mechanically Tunable Quantum Interference in Ferrocene-Based Single-Molecule Junctions.” Nano Letters. American Chemical Society, 2020. https://doi.org/10.1021/acs.nanolett.0c01956. ieee: M. Camarasa-Gómez et al., “Mechanically tunable quantum interference in ferrocene-based single-molecule junctions,” Nano Letters, vol. 20, no. 9. American Chemical Society, pp. 6381–6386, 2020. ista: Camarasa-Gómez M, Hernangómez-Pérez D, Inkpen MS, Lovat G, Fung E-D, Roy X, Venkataraman L, Evers F. 2020. Mechanically tunable quantum interference in ferrocene-based single-molecule junctions. Nano Letters. 20(9), 6381–6386. mla: Camarasa-Gómez, María, et al. “Mechanically Tunable Quantum Interference in Ferrocene-Based Single-Molecule Junctions.” Nano Letters, vol. 20, no. 9, American Chemical Society, 2020, pp. 6381–86, doi:10.1021/acs.nanolett.0c01956. short: M. Camarasa-Gómez, D. Hernangómez-Pérez, M.S. Inkpen, G. Lovat, E.-D. Fung, X. Roy, L. Venkataraman, F. Evers, Nano Letters 20 (2020) 6381–6386. date_created: 2024-09-09T07:18:19Z date_published: 2020-08-03T00:00:00Z date_updated: 2024-12-10T10:49:18Z day: '03' doi: 10.1021/acs.nanolett.0c01956 extern: '1' external_id: pmid: - '32787164' intvolume: ' 20' issue: '9' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.26434/chemrxiv.12252059.v1 month: '08' oa: 1 oa_version: Preprint page: 6381-6386 pmid: 1 publication: Nano Letters publication_identifier: eissn: - 1530-6992 issn: - 1530-6984 publication_status: published publisher: American Chemical Society quality_controlled: '1' scopus_import: '1' status: public title: Mechanically tunable quantum interference in ferrocene-based single-molecule junctions type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 20 year: '2020' ... --- OA_place: publisher OA_type: hybrid _id: '17911' abstract: - lang: eng text: Single-molecule break junction measurements deliver a huge number of conductance vs. electrode separation traces. During such measurements, the target molecules may bind to the electrodes in different geometries, and the evolution and rupture of the single-molecule junction may also follow distinct trajectories. The unraveling of the various typical trace classes is a prerequisite to the proper physical interpretation of the data. Here we exploit the efficient feature recognition properties of neural networks to automatically find the relevant trace classes. To eliminate the need for manually labeled training data we apply a combined method, which automatically selects training traces according to the extreme values of principal component projections or some auxiliary measured quantities. Then the network captures the features of these characteristic traces and generalizes its inference to the entire dataset. The use of a simple neural network structure also enables a direct insight into the decision-making mechanism. We demonstrate that this combined machine learning method is efficient in the unsupervised recognition of unobvious, but highly relevant trace classes within low and room temperature gold–4,4′ bipyridine–gold single-molecule break junction data. article_processing_charge: Yes article_type: original arxiv: 1 author: - first_name: András full_name: Magyarkuti, András last_name: Magyarkuti - first_name: Nóra full_name: Balogh, Nóra last_name: Balogh - first_name: Zoltán full_name: Balogh, Zoltán last_name: Balogh - first_name: Latha full_name: Venkataraman, Latha id: 9ebb78a5-cc0d-11ee-8322-fae086a32caf last_name: Venkataraman orcid: 0000-0002-6957-6089 - first_name: András full_name: Halbritter, András last_name: Halbritter citation: ama: Magyarkuti A, Balogh N, Balogh Z, Venkataraman L, Halbritter A. Unsupervised feature recognition in single-molecule break junction data. Nanoscale. 2020;12(15):8355-8363. doi:10.1039/d0nr00467g apa: Magyarkuti, A., Balogh, N., Balogh, Z., Venkataraman, L., & Halbritter, A. (2020). Unsupervised feature recognition in single-molecule break junction data. Nanoscale. Royal Society of Chemistry. https://doi.org/10.1039/d0nr00467g chicago: Magyarkuti, András, Nóra Balogh, Zoltán Balogh, Latha Venkataraman, and András Halbritter. “Unsupervised Feature Recognition in Single-Molecule Break Junction Data.” Nanoscale. Royal Society of Chemistry, 2020. https://doi.org/10.1039/d0nr00467g. ieee: A. Magyarkuti, N. Balogh, Z. Balogh, L. Venkataraman, and A. Halbritter, “Unsupervised feature recognition in single-molecule break junction data,” Nanoscale, vol. 12, no. 15. Royal Society of Chemistry, pp. 8355–8363, 2020. ista: Magyarkuti A, Balogh N, Balogh Z, Venkataraman L, Halbritter A. 2020. Unsupervised feature recognition in single-molecule break junction data. Nanoscale. 12(15), 8355–8363. mla: Magyarkuti, András, et al. “Unsupervised Feature Recognition in Single-Molecule Break Junction Data.” Nanoscale, vol. 12, no. 15, Royal Society of Chemistry, 2020, pp. 8355–63, doi:10.1039/d0nr00467g. short: A. Magyarkuti, N. Balogh, Z. Balogh, L. Venkataraman, A. Halbritter, Nanoscale 12 (2020) 8355–8363. date_created: 2024-09-09T07:21:34Z date_published: 2020-03-25T00:00:00Z date_updated: 2024-12-10T12:13:16Z day: '25' doi: 10.1039/d0nr00467g extern: '1' external_id: arxiv: - '2001.03006' intvolume: ' 12' issue: '15' language: - iso: eng license: https://creativecommons.org/licenses/by-nc/3.0/ main_file_link: - open_access: '1' url: https://doi.org/10.1039/D0NR00467G month: '03' oa: 1 oa_version: Published Version page: 8355-8363 publication: Nanoscale publication_identifier: eissn: - 2040-3372 issn: - 2040-3364 publication_status: published publisher: Royal Society of Chemistry quality_controlled: '1' scopus_import: '1' status: public title: Unsupervised feature recognition in single-molecule break junction data tmp: image: /images/cc_by_nc.png legal_code_url: https://creativecommons.org/licenses/by-nc/3.0/legalcode name: Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0) short: CC BY-NC (3.0) type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 12 year: '2020' ... --- _id: '18194' abstract: - lang: eng text: 'Realizing strongly correlated topological phases of ultracold gases is a central goal for ongoing experiments. While fractional quantum Hall states could soon be implemented in small atomic ensembles, detecting their signatures in few-particle settings remains a fundamental challenge. In this work, we numerically analyze the center-of-mass Hall drift of a small ensemble of hardcore bosons, initially prepared in the ground state of the Harper-Hofstadter-Hubbard model in a box potential. By monitoring the Hall drift upon release, for a wide range of magnetic flux values, we identify an emergent Hall plateau compatible with a fractional Chern insulator state: The extracted Hall conductivity approaches a fractional value determined by the many-body Chern number, while the width of the plateau agrees with the spectral and topological properties of the prepared ground state. Besides, a direct application of Streda''s formula indicates that such Hall plateaus can also be directly obtained from static density-profile measurements. Our calculations suggest that fractional Chern insulators can be detected in cold-atom experiments, using available detection methods.' article_number: '063316' article_processing_charge: Yes (in subscription journal) article_type: original arxiv: 1 author: - first_name: C. full_name: Repellin, C. last_name: Repellin - first_name: Julian full_name: Leonard, Julian id: b75b3f45-7995-11ef-9bfd-9a9cd02c3577 last_name: Leonard - first_name: N. full_name: Goldman, N. last_name: Goldman citation: ama: 'Repellin C, Leonard J, Goldman N. Fractional Chern insulators of few bosons in a box: Hall plateaus from center-of-mass drifts and density profiles. Physical Review A. 2020;102(6). doi:10.1103/physreva.102.063316' apa: 'Repellin, C., Leonard, J., & Goldman, N. (2020). Fractional Chern insulators of few bosons in a box: Hall plateaus from center-of-mass drifts and density profiles. Physical Review A. American Physical Society. https://doi.org/10.1103/physreva.102.063316' chicago: 'Repellin, C., Julian Leonard, and N. Goldman. “Fractional Chern Insulators of Few Bosons in a Box: Hall Plateaus from Center-of-Mass Drifts and Density Profiles.” Physical Review A. American Physical Society, 2020. https://doi.org/10.1103/physreva.102.063316.' ieee: 'C. Repellin, J. Leonard, and N. Goldman, “Fractional Chern insulators of few bosons in a box: Hall plateaus from center-of-mass drifts and density profiles,” Physical Review A, vol. 102, no. 6. American Physical Society, 2020.' ista: 'Repellin C, Leonard J, Goldman N. 2020. Fractional Chern insulators of few bosons in a box: Hall plateaus from center-of-mass drifts and density profiles. Physical Review A. 102(6), 063316.' mla: 'Repellin, C., et al. “Fractional Chern Insulators of Few Bosons in a Box: Hall Plateaus from Center-of-Mass Drifts and Density Profiles.” Physical Review A, vol. 102, no. 6, 063316, American Physical Society, 2020, doi:10.1103/physreva.102.063316.' short: C. Repellin, J. Leonard, N. Goldman, Physical Review A 102 (2020). date_created: 2024-10-07T11:48:07Z date_published: 2020-12-14T00:00:00Z date_updated: 2024-10-08T09:51:57Z day: '14' ddc: - '530' doi: 10.1103/physreva.102.063316 extern: '1' external_id: arxiv: - '2005.09689' has_accepted_license: '1' intvolume: ' 102' issue: '6' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.1103/PhysRevA.102.063316 month: '12' oa: 1 oa_version: Published Version publication: Physical Review A publication_identifier: eissn: - 2469-9934 issn: - 2469-9926 publication_status: published publisher: American Physical Society quality_controlled: '1' scopus_import: '1' status: public title: 'Fractional Chern insulators of few bosons in a box: Hall plateaus from center-of-mass drifts and density profiles' 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: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 102 year: '2020' ... --- OA_place: repository OA_type: green _id: '18228' abstract: - lang: eng text: We introduce two constructions in geometric deep learning for 1) transporting orientation-dependent convolutional filters over a manifold in a continuous way and thereby defining a convolution operator that naturally incorporates the rotational effect of holonomy; and 2) allowing efficient evaluation of manifold convolution layers by sampling manifold valued random variables that center around a weighted diffusion mean. Both methods are inspired by stochastics on manifolds and geometric statistics, and provide examples of how stochastic methods – here horizontal frame bundle flows and non-linear bridge sampling schemes, can be used in geometric deep learning. We outline the theoretical foundation of the two methods, discuss their relation to Euclidean deep networks and existing methodology in geometric deep learning, and establish important properties of the proposed constructions. article_processing_charge: No article_type: original arxiv: 1 author: - first_name: Stefan full_name: Sommer, Stefan last_name: Sommer - first_name: Alexander full_name: Bronstein, Alexander id: 58f3726e-7cba-11ef-ad8b-e6e8cb3904e6 last_name: Bronstein orcid: 0000-0001-9699-8730 citation: ama: Sommer S, Bronstein AM. Horizontal flows and manifold stochastics in geometric deep learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2020;44(2):811-822. doi:10.1109/tpami.2020.2994507 apa: Sommer, S., & Bronstein, A. M. (2020). Horizontal flows and manifold stochastics in geometric deep learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/tpami.2020.2994507 chicago: Sommer, Stefan, and Alex M. Bronstein. “Horizontal Flows and Manifold Stochastics in Geometric Deep Learning.” IEEE Transactions on Pattern Analysis and Machine Intelligence. Institute of Electrical and Electronics Engineers, 2020. https://doi.org/10.1109/tpami.2020.2994507. ieee: S. Sommer and A. M. Bronstein, “Horizontal flows and manifold stochastics in geometric deep learning,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44, no. 2. Institute of Electrical and Electronics Engineers, pp. 811–822, 2020. ista: Sommer S, Bronstein AM. 2020. Horizontal flows and manifold stochastics in geometric deep learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(2), 811–822. mla: Sommer, Stefan, and Alex M. Bronstein. “Horizontal Flows and Manifold Stochastics in Geometric Deep Learning.” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44, no. 2, Institute of Electrical and Electronics Engineers, 2020, pp. 811–22, doi:10.1109/tpami.2020.2994507. short: S. Sommer, A.M. Bronstein, IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (2020) 811–822. date_created: 2024-10-08T12:55:23Z date_published: 2020-02-01T00:00:00Z date_updated: 2024-10-15T06:56:47Z day: '01' doi: 10.1109/tpami.2020.2994507 extern: '1' external_id: arxiv: - '1909.06397' intvolume: ' 44' issue: '2' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.48550/arXiv.1909.06397 month: '02' oa: 1 oa_version: Preprint page: 811-822 publication: IEEE Transactions on Pattern Analysis and Machine Intelligence publication_identifier: eissn: - 1939-3539 issn: - 0162-8828 publication_status: published publisher: Institute of Electrical and Electronics Engineers quality_controlled: '1' scopus_import: '1' status: public title: Horizontal flows and manifold stochastics in geometric deep learning type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 44 year: '2020' ... --- _id: '18247' abstract: - lang: eng text: Convolutional neural networks (CNNs) achieve state-of-the-art accuracy in a variety of tasks in computer vision and beyond. One of the major obstacles hindering the ubiquitous use of CNNs for inference on low-power edge devices is their high computational complexity and memory bandwidth requirements. The latter often dominates the energy footprint on modern hardware. In this paper, we introduce a lossy transform coding approach, inspired by image and video compression, designed to reduce the memory bandwidth due to the storage of intermediate activation calculation results. Our method does not require fine-tuning the network weights and halves the data transfer volumes to the main memory by compressing feature maps, which are highly correlated, with variable length coding. Our method outperform previous approach in term of the number of bits per value with minor accuracy degradation on ResNet-34 and MobileNetV2. We analyze the performance of our approach on a variety of CNN architectures and demonstrate that FPGA implementation of ResNet-18 with our approach results in a reduction of around 40% in the memory energy footprint, compared to quantized network, with negligible impact on accuracy. When allowing accuracy degradation of up to 2%, the reduction of 60% is achieved. A reference implementation accompanies the paper. article_number: '9206968' article_processing_charge: No arxiv: 1 author: - first_name: Brian full_name: Chmiel, Brian last_name: Chmiel - first_name: Chaim full_name: Baskin, Chaim last_name: Baskin - first_name: Evgenii full_name: Zheltonozhskii, Evgenii last_name: Zheltonozhskii - first_name: Ron full_name: Banner, Ron last_name: Banner - first_name: Yevgeny full_name: Yermolin, Yevgeny last_name: Yermolin - first_name: Alex full_name: Karbachevsky, Alex last_name: Karbachevsky - first_name: Alexander full_name: Bronstein, Alexander id: 58f3726e-7cba-11ef-ad8b-e6e8cb3904e6 last_name: Bronstein orcid: 0000-0001-9699-8730 - first_name: Avi full_name: Mendelson, Avi last_name: Mendelson citation: ama: 'Chmiel B, Baskin C, Zheltonozhskii E, et al. Feature map transform coding for energy-efficient CNN inference. In: 2020 International Joint Conference on Neural Networks (IJCNN). IEEE; 2020. doi:10.1109/ijcnn48605.2020.9206968' apa: 'Chmiel, B., Baskin, C., Zheltonozhskii, E., Banner, R., Yermolin, Y., Karbachevsky, A., … Mendelson, A. (2020). Feature map transform coding for energy-efficient CNN inference. In 2020 International Joint Conference on Neural Networks (IJCNN). Glasgow, United Kingdom: IEEE. https://doi.org/10.1109/ijcnn48605.2020.9206968' chicago: Chmiel, Brian, Chaim Baskin, Evgenii Zheltonozhskii, Ron Banner, Yevgeny Yermolin, Alex Karbachevsky, Alex M. Bronstein, and Avi Mendelson. “Feature Map Transform Coding for Energy-Efficient CNN Inference.” In 2020 International Joint Conference on Neural Networks (IJCNN). IEEE, 2020. https://doi.org/10.1109/ijcnn48605.2020.9206968. ieee: B. Chmiel et al., “Feature map transform coding for energy-efficient CNN inference,” in 2020 International Joint Conference on Neural Networks (IJCNN), Glasgow, United Kingdom, 2020. ista: Chmiel B, Baskin C, Zheltonozhskii E, Banner R, Yermolin Y, Karbachevsky A, Bronstein AM, Mendelson A. 2020. Feature map transform coding for energy-efficient CNN inference. 2020 International Joint Conference on Neural Networks (IJCNN). International Joint Conference on Neural Networks, 9206968. mla: Chmiel, Brian, et al. “Feature Map Transform Coding for Energy-Efficient CNN Inference.” 2020 International Joint Conference on Neural Networks (IJCNN), 9206968, IEEE, 2020, doi:10.1109/ijcnn48605.2020.9206968. short: B. Chmiel, C. Baskin, E. Zheltonozhskii, R. Banner, Y. Yermolin, A. Karbachevsky, A.M. Bronstein, A. Mendelson, in:, 2020 International Joint Conference on Neural Networks (IJCNN), IEEE, 2020. conference: end_date: 2020-07-24 location: Glasgow, United Kingdom name: International Joint Conference on Neural Networks start_date: 2020-07-19 date_created: 2024-10-08T13:04:52Z date_published: 2020-09-28T00:00:00Z date_updated: 2024-12-12T10:04:54Z day: '28' doi: 10.1109/ijcnn48605.2020.9206968 extern: '1' external_id: arxiv: - '1905.10830' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.48550/arXiv.1905.10830 month: '09' oa: 1 oa_version: Preprint publication: 2020 International Joint Conference on Neural Networks (IJCNN) publication_identifier: eissn: - 2161-4407 isbn: - '9781728169279' publication_status: published publisher: IEEE quality_controlled: '1' scopus_import: '1' status: public title: Feature map transform coding for energy-efficient CNN inference type: conference user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87 year: '2020' ... --- _id: '18249' abstract: - lang: eng text: Magnetic Resonance Imaging (MRI) is considered today the golden-standard modality for soft tissues. The long acquisition times, however, make it more prone to motion artifacts as well as contribute to the relative high costs of this examination. Over the years, multiple studies concentrated on designing reduced measurement schemes and image reconstruction schemes for MRI, however these problems have been so far addressed separately. On the other hand, recent works in optical computational imaging have demonstrated growing success of simultaneous learning-based design of the acquisition and reconstruction schemes manifesting significant improvement in the reconstruction quality with a constrained time budget. Inspired by these successes, in this work, we propose to learn accelerated MR acquisition schemes (in the form of Cartesian trajectories) jointly with the image reconstruction operator. To this end, we propose an algorithm for training the combined acquisition-reconstruction pipeline end-to-end in a differentiable way. We demonstrate the significance of using the learned Cartesian trajectories at different speed up rates. Code available at https://github.com/tomer196/fastMRI-Cartesian. article_number: '9054542' article_processing_charge: No arxiv: 1 author: - first_name: Tomer full_name: Weiss, Tomer last_name: Weiss - first_name: Sanketh full_name: Vedula, Sanketh last_name: Vedula - first_name: Ortal full_name: Senouf, Ortal last_name: Senouf - first_name: Oleg full_name: Michailovich, Oleg last_name: Michailovich - first_name: Michael full_name: Zibulevsky, Michael last_name: Zibulevsky - first_name: Alexander full_name: Bronstein, Alexander id: 58f3726e-7cba-11ef-ad8b-e6e8cb3904e6 last_name: Bronstein orcid: 0000-0001-9699-8730 citation: ama: 'Weiss T, Vedula S, Senouf O, Michailovich O, Zibulevsky M, Bronstein AM. Joint learning of cartesian undersampling and reconstruction for accelerated MRI. In: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE; 2020. doi:10.1109/icassp40776.2020.9054542' apa: 'Weiss, T., Vedula, S., Senouf, O., Michailovich, O., Zibulevsky, M., & Bronstein, A. M. (2020). Joint learning of cartesian undersampling and reconstruction for accelerated MRI. In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Barcelona, Spain: IEEE. https://doi.org/10.1109/icassp40776.2020.9054542' chicago: Weiss, Tomer, Sanketh Vedula, Ortal Senouf, Oleg Michailovich, Michael Zibulevsky, and Alex M. Bronstein. “Joint Learning of Cartesian Undersampling and Reconstruction for Accelerated MRI.” In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2020. https://doi.org/10.1109/icassp40776.2020.9054542. ieee: T. Weiss, S. Vedula, O. Senouf, O. Michailovich, M. Zibulevsky, and A. M. Bronstein, “Joint learning of cartesian undersampling and reconstruction for accelerated MRI,” in ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, 2020. ista: Weiss T, Vedula S, Senouf O, Michailovich O, Zibulevsky M, Bronstein AM. 2020. Joint learning of cartesian undersampling and reconstruction for accelerated MRI. ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE International Conference on Acoustics, Speech, and Signal Processing, 9054542. mla: Weiss, Tomer, et al. “Joint Learning of Cartesian Undersampling and Reconstruction for Accelerated MRI.” ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 9054542, IEEE, 2020, doi:10.1109/icassp40776.2020.9054542. short: T. Weiss, S. Vedula, O. Senouf, O. Michailovich, M. Zibulevsky, A.M. Bronstein, in:, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, 2020. conference: end_date: 2020-05-08 location: Barcelona, Spain name: IEEE International Conference on Acoustics, Speech, and Signal Processing start_date: 2020-05-04 date_created: 2024-10-08T13:05:24Z date_published: 2020-04-09T00:00:00Z date_updated: 2024-12-11T16:06:20Z day: '09' doi: 10.1109/icassp40776.2020.9054542 extern: '1' external_id: arxiv: - '1905.09324' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.48550/arXiv.1905.09324 month: '04' oa: 1 oa_version: Preprint publication: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) publication_identifier: eissn: - 2379-190X isbn: - '9781509066322' publication_status: published publisher: IEEE quality_controlled: '1' scopus_import: '1' status: public title: Joint learning of cartesian undersampling and reconstruction for accelerated MRI type: conference user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87 year: '2020' ... --- OA_place: repository OA_type: green _id: '18250' abstract: - lang: eng text: Many shape analysis methods treat the geometry of an object as a metric space that can be captured by the Laplace-Beltrami operator. In this paper, we propose to adapt the classical Hamiltonian operator from quantum mechanics to the field of shape analysis. To this end, we study the addition of a potential function to the Laplacian as a generator for dual spaces in which shape processing is performed. We present general optimization approaches for solving variational problems involving the basis defined by the Hamiltonian using perturbation theory for its eigenvectors. The suggested operator is shown to produce better functional spaces to operate with, as demonstrated on different shape analysis tasks. article_processing_charge: No article_type: original arxiv: 1 author: - first_name: Yoni full_name: Choukroun, Yoni last_name: Choukroun - first_name: Alon full_name: Shtern, Alon last_name: Shtern - first_name: Alexander full_name: Bronstein, Alexander id: 58f3726e-7cba-11ef-ad8b-e6e8cb3904e6 last_name: Bronstein orcid: 0000-0001-9699-8730 - first_name: Ron full_name: Kimmel, Ron last_name: Kimmel citation: ama: Choukroun Y, Shtern A, Bronstein AM, Kimmel R. Hamiltonian operator for spectral shape analysis. IEEE Transactions on Visualization and Computer Graphics. 2020;26(2):1320-1331. doi:10.1109/tvcg.2018.2867513 apa: Choukroun, Y., Shtern, A., Bronstein, A. M., & Kimmel, R. (2020). Hamiltonian operator for spectral shape analysis. IEEE Transactions on Visualization and Computer Graphics. Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/tvcg.2018.2867513 chicago: Choukroun, Yoni, Alon Shtern, Alex M. Bronstein, and Ron Kimmel. “Hamiltonian Operator for Spectral Shape Analysis.” IEEE Transactions on Visualization and Computer Graphics. Institute of Electrical and Electronics Engineers, 2020. https://doi.org/10.1109/tvcg.2018.2867513. ieee: Y. Choukroun, A. Shtern, A. M. Bronstein, and R. Kimmel, “Hamiltonian operator for spectral shape analysis,” IEEE Transactions on Visualization and Computer Graphics, vol. 26, no. 2. Institute of Electrical and Electronics Engineers, pp. 1320–1331, 2020. ista: Choukroun Y, Shtern A, Bronstein AM, Kimmel R. 2020. Hamiltonian operator for spectral shape analysis. IEEE Transactions on Visualization and Computer Graphics. 26(2), 1320–1331. mla: Choukroun, Yoni, et al. “Hamiltonian Operator for Spectral Shape Analysis.” IEEE Transactions on Visualization and Computer Graphics, vol. 26, no. 2, Institute of Electrical and Electronics Engineers, 2020, pp. 1320–31, doi:10.1109/tvcg.2018.2867513. short: Y. Choukroun, A. Shtern, A.M. Bronstein, R. Kimmel, IEEE Transactions on Visualization and Computer Graphics 26 (2020) 1320–1331. date_created: 2024-10-08T13:05:41Z date_published: 2020-02-01T00:00:00Z date_updated: 2024-10-15T09:43:31Z day: '01' doi: 10.1109/tvcg.2018.2867513 extern: '1' external_id: arxiv: - '1611.01990' pmid: - '30176599' intvolume: ' 26' issue: '2' language: - iso: eng main_file_link: - open_access: '1' url: 'https://doi.org/10.48550/arXiv.1611.01990 ' month: '02' oa: 1 oa_version: Preprint page: 1320-1331 pmid: 1 publication: IEEE Transactions on Visualization and Computer Graphics publication_identifier: eissn: - 2160-9306 issn: - 1077-2626 publication_status: published publisher: Institute of Electrical and Electronics Engineers quality_controlled: '1' scopus_import: '1' status: public title: Hamiltonian operator for spectral shape analysis type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 26 year: '2020' ... --- DOAJ_listed: '1' OA_place: publisher OA_type: gold _id: '18253' abstract: - lang: eng text: PCNA, the ring that encircles DNA maintaining the processivity of DNA polymerases, is modified by ubiquitin and SUMO. Whereas ubiquitin is required for bypassing lesions through the DNA damage tolerance (DDT) pathways, we show here that SUMOylation represses another pathway, salvage recombination. The Srs2 helicase is recruited to SUMOylated PCNA and prevents the salvage pathway from acting. The pathway can be induced by overexpressing the PCNA unloader Elg1, or the homologous recombination protein Rad52. Our results underscore the role of PCNA modifications in controlling the various bypass and DNA repair mechanisms. article_number: 00705-20 article_processing_charge: Yes article_type: original author: - first_name: Matan full_name: Arbel, Matan last_name: Arbel - first_name: Alexander full_name: Bronstein, Alexander id: 58f3726e-7cba-11ef-ad8b-e6e8cb3904e6 last_name: Bronstein orcid: 0000-0001-9699-8730 - first_name: Soumitra full_name: Sau, Soumitra last_name: Sau - first_name: Batia full_name: Liefshitz, Batia last_name: Liefshitz - first_name: Martin full_name: Kupiec, Martin last_name: Kupiec citation: ama: Arbel M, Bronstein AM, Sau S, Liefshitz B, Kupiec M. Access to PCNA by Srs2 and Elg1 controls the choice between alternative repair pathways in Saccharomyces cerevisiae. mBio. 2020;11(3). doi:10.1128/mbio.00705-20 apa: Arbel, M., Bronstein, A. M., Sau, S., Liefshitz, B., & Kupiec, M. (2020). Access to PCNA by Srs2 and Elg1 controls the choice between alternative repair pathways in Saccharomyces cerevisiae. MBio. American Society for Microbiology. https://doi.org/10.1128/mbio.00705-20 chicago: Arbel, Matan, Alex M. Bronstein, Soumitra Sau, Batia Liefshitz, and Martin Kupiec. “Access to PCNA by Srs2 and Elg1 Controls the Choice between Alternative Repair Pathways in Saccharomyces Cerevisiae.” MBio. American Society for Microbiology, 2020. https://doi.org/10.1128/mbio.00705-20. ieee: M. Arbel, A. M. Bronstein, S. Sau, B. Liefshitz, and M. Kupiec, “Access to PCNA by Srs2 and Elg1 controls the choice between alternative repair pathways in Saccharomyces cerevisiae,” mBio, vol. 11, no. 3. American Society for Microbiology, 2020. ista: Arbel M, Bronstein AM, Sau S, Liefshitz B, Kupiec M. 2020. Access to PCNA by Srs2 and Elg1 controls the choice between alternative repair pathways in Saccharomyces cerevisiae. mBio. 11(3), 00705-20. mla: Arbel, Matan, et al. “Access to PCNA by Srs2 and Elg1 Controls the Choice between Alternative Repair Pathways in Saccharomyces Cerevisiae.” MBio, vol. 11, no. 3, 00705-20, American Society for Microbiology, 2020, doi:10.1128/mbio.00705-20. short: M. Arbel, A.M. Bronstein, S. Sau, B. Liefshitz, M. Kupiec, MBio 11 (2020). date_created: 2024-10-08T13:06:43Z date_published: 2020-06-01T00:00:00Z date_updated: 2024-10-15T10:50:42Z day: '01' doi: 10.1128/mbio.00705-20 extern: '1' external_id: pmid: - '32371600' intvolume: ' 11' issue: '3' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.1128/mbio.00705-20 month: '06' oa: 1 oa_version: Published Version pmid: 1 publication: mBio publication_identifier: eissn: - 2150-7511 issn: - 2161-2129 publication_status: published publisher: American Society for Microbiology quality_controlled: '1' scopus_import: '1' status: public title: Access to PCNA by Srs2 and Elg1 controls the choice between alternative repair pathways in Saccharomyces cerevisiae type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 11 year: '2020' ... --- _id: '18255' abstract: - lang: eng text: Learning an object detection or retrieval system requires a large data set with manual annotations. Such data sets are expensive and time consuming to create and therefore difficult to obtain on a large scale. In this work, we propose to exploit the natural correlation in narrations and the visual presence of objects in video, to learn an object detector and retrieval without any manual labeling involved. We pose the problem as weakly supervised learning with noisy labels, and propose a novel object detection paradigm under these constraints. We handle the background rejection by using contrastive samples and confront the high level of label noise with a new clustering score. Our evaluation is based on a set of 11 manually annotated objects in over 5000 frames. We show comparison to a weakly-supervised approach as baseline and provide a strongly labeled upper bound. article_number: '9022341' article_processing_charge: No arxiv: 1 author: - first_name: Elad full_name: Amrani, Elad last_name: Amrani - first_name: Rami full_name: Ben-Ari, Rami last_name: Ben-Ari - first_name: Tal full_name: Hakim, Tal last_name: Hakim - first_name: Alexander full_name: Bronstein, Alexander id: 58f3726e-7cba-11ef-ad8b-e6e8cb3904e6 last_name: Bronstein orcid: 0000-0001-9699-8730 citation: ama: 'Amrani E, Ben-Ari R, Hakim T, Bronstein AM. Learning to detect and retrieve objects from unlabeled videos. In: 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW). IEEE; 2020. doi:10.1109/iccvw.2019.00567' apa: 'Amrani, E., Ben-Ari, R., Hakim, T., & Bronstein, A. M. (2020). Learning to detect and retrieve objects from unlabeled videos. In 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW). Seoul, Korea (South): IEEE. https://doi.org/10.1109/iccvw.2019.00567' chicago: Amrani, Elad, Rami Ben-Ari, Tal Hakim, and Alex M. Bronstein. “Learning to Detect and Retrieve Objects from Unlabeled Videos.” In 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW). IEEE, 2020. https://doi.org/10.1109/iccvw.2019.00567. ieee: E. Amrani, R. Ben-Ari, T. Hakim, and A. M. Bronstein, “Learning to detect and retrieve objects from unlabeled videos,” in 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), Seoul, Korea (South), 2020. ista: Amrani E, Ben-Ari R, Hakim T, Bronstein AM. 2020. Learning to detect and retrieve objects from unlabeled videos. 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW). 17th IEEE/CVF International Conference on Computer Vision Workshop, 9022341. mla: Amrani, Elad, et al. “Learning to Detect and Retrieve Objects from Unlabeled Videos.” 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), 9022341, IEEE, 2020, doi:10.1109/iccvw.2019.00567. short: E. Amrani, R. Ben-Ari, T. Hakim, A.M. Bronstein, in:, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), IEEE, 2020. conference: end_date: 2019-10-28 location: Seoul, Korea (South) name: 17th IEEE/CVF International Conference on Computer Vision Workshop start_date: 2019-10-27 date_created: 2024-10-08T13:07:16Z date_published: 2020-03-05T00:00:00Z date_updated: 2024-12-05T16:04:03Z day: '05' doi: 10.1109/iccvw.2019.00567 extern: '1' external_id: arxiv: - '1905.11137' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.48550/arXiv.1905.11137 month: '03' oa: 1 oa_version: Preprint publication: 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW) publication_identifier: eissn: - 2473-9944 isbn: - '9781728150246' publication_status: published publisher: IEEE quality_controlled: '1' scopus_import: '1' status: public title: Learning to detect and retrieve objects from unlabeled videos type: conference user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87 year: '2020' ... --- _id: '18259' abstract: - lang: eng text: Example synthesis is one of the leading methods to tackle the problem of few-shot learning, where only a small number of samples per class are available. However, current synthesis approaches only address the scenario of a single category label per image. In this work, we propose a novel technique for synthesizing samples with multiple labels for the (yet unhandled) multi-label few-shot classification scenario. We propose to combine pairs of given examples in feature space, so that the resulting synthesized feature vectors will correspond to examples whose label sets are obtained through certain set operations on the label sets of the corresponding input pairs. Thus, our method is capable of producing a sample containing the intersection, union or set-difference of labels present in two input samples. As we show, these set operations generalize to labels unseen during training. This enables performing augmentation on examples of novel categories, thus, facilitating multi-label few-shot classifier learning. We conduct numerous experiments showing promising results for the label-set manipulation capabilities of the proposed approach, both directly (using the classification and retrieval metrics), and in the context of performing data augmentation for multi-label few-shot learning. We propose a benchmark for this new and challenging task and show that our method compares favorably to all the common baselines. article_number: '8954088' article_processing_charge: No arxiv: 1 author: - first_name: Amit full_name: Alfassy, Amit last_name: Alfassy - first_name: Leonid full_name: Karlinsky, Leonid last_name: Karlinsky - first_name: Amit full_name: Aides, Amit last_name: Aides - first_name: Joseph full_name: Shtok, Joseph last_name: Shtok - first_name: Sivan full_name: Harary, Sivan last_name: Harary - first_name: Rogerio full_name: Feris, Rogerio last_name: Feris - first_name: Raja full_name: Giryes, Raja last_name: Giryes - first_name: Alexander full_name: Bronstein, Alexander id: 58f3726e-7cba-11ef-ad8b-e6e8cb3904e6 last_name: Bronstein orcid: 0000-0001-9699-8730 citation: ama: 'Alfassy A, Karlinsky L, Aides A, et al. Laso: Label-set operations networks for multi-label few-shot learning. In: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE; 2020. doi:10.1109/cvpr.2019.00671' apa: 'Alfassy, A., Karlinsky, L., Aides, A., Shtok, J., Harary, S., Feris, R., … Bronstein, A. M. (2020). Laso: Label-set operations networks for multi-label few-shot learning. In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Long Beach, CA, United States: IEEE. https://doi.org/10.1109/cvpr.2019.00671' chicago: 'Alfassy, Amit, Leonid Karlinsky, Amit Aides, Joseph Shtok, Sivan Harary, Rogerio Feris, Raja Giryes, and Alex M. Bronstein. “Laso: Label-Set Operations Networks for Multi-Label Few-Shot Learning.” In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2020. https://doi.org/10.1109/cvpr.2019.00671.' ieee: 'A. Alfassy et al., “Laso: Label-set operations networks for multi-label few-shot learning,” in 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, United States, 2020.' ista: 'Alfassy A, Karlinsky L, Aides A, Shtok J, Harary S, Feris R, Giryes R, Bronstein AM. 2020. Laso: Label-set operations networks for multi-label few-shot learning. 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition, 8954088.' mla: 'Alfassy, Amit, et al. “Laso: Label-Set Operations Networks for Multi-Label Few-Shot Learning.” 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 8954088, IEEE, 2020, doi:10.1109/cvpr.2019.00671.' short: A. Alfassy, L. Karlinsky, A. Aides, J. Shtok, S. Harary, R. Feris, R. Giryes, A.M. Bronstein, in:, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, 2020. conference: end_date: 2019-06-20 location: Long Beach, CA, United States name: 32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition start_date: 2019-06-15 date_created: 2024-10-08T13:08:26Z date_published: 2020-01-09T00:00:00Z date_updated: 2024-12-05T15:33:21Z day: '09' doi: 10.1109/cvpr.2019.00671 extern: '1' external_id: arxiv: - '1902.09811' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.48550/arXiv.1902.09811 month: '01' oa: 1 oa_version: Preprint publication: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) publication_identifier: eissn: - 2575-7075 isbn: - '9781728132945' publication_status: published publisher: IEEE quality_controlled: '1' scopus_import: '1' status: public title: 'Laso: Label-set operations networks for multi-label few-shot learning' type: conference user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87 year: '2020' ... --- OA_place: repository OA_type: green _id: '22054' abstract: - lang: eng text: We consider the Korteweg–de Vries equation with white noise initial data, posed on the whole real line, and prove the almost sure existence of solutions. Moreover, we show that the solutions obey the group property and follow a white noise law at all times, past or future. As an offshoot of our methods, we also obtain a new proof of the existence of solutions and the invariance of white noise measure in the torus setting. article_processing_charge: No article_type: original arxiv: 1 author: - first_name: Rowan full_name: Killip, Rowan last_name: Killip - first_name: Jason full_name: Murphy, Jason last_name: Murphy - first_name: Monica full_name: Visan, Monica id: 056daca0-b8d1-11f0-964f-f91054abf8ca last_name: Visan citation: ama: Killip R, Murphy J, Vişan M. Invariance of white noise for KdV on the line. Inventiones mathematicae. 2020;222(1):203-282. doi:10.1007/s00222-020-00964-9 apa: Killip, R., Murphy, J., & Vişan, M. (2020). Invariance of white noise for KdV on the line. Inventiones Mathematicae. Springer Nature. https://doi.org/10.1007/s00222-020-00964-9 chicago: Killip, Rowan, Jason Murphy, and Monica Vişan. “Invariance of White Noise for KdV on the Line.” Inventiones Mathematicae. Springer Nature, 2020. https://doi.org/10.1007/s00222-020-00964-9. ieee: R. Killip, J. Murphy, and M. Vişan, “Invariance of white noise for KdV on the line,” Inventiones mathematicae, vol. 222, no. 1. Springer Nature, pp. 203–282, 2020. ista: Killip R, Murphy J, Vişan M. 2020. Invariance of white noise for KdV on the line. Inventiones mathematicae. 222(1), 203–282. mla: Killip, Rowan, et al. “Invariance of White Noise for KdV on the Line.” Inventiones Mathematicae, vol. 222, no. 1, Springer Nature, 2020, pp. 203–82, doi:10.1007/s00222-020-00964-9. short: R. Killip, J. Murphy, M. Vişan, Inventiones Mathematicae 222 (2020) 203–282. das_tickbox: '1' date_created: 2026-06-19T07:56:16Z date_published: 2020-10-01T00:00:00Z date_updated: 2026-06-25T08:39:30Z day: '01' doi: 10.1007/s00222-020-00964-9 extern: '1' external_id: arxiv: - '1904.11910' intvolume: ' 222' issue: '1' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.48550/arXiv.1904.11910 month: '10' oa: 1 oa_version: Preprint page: 203-282 publication: Inventiones mathematicae publication_identifier: eissn: - 1432-1297 issn: - 0020-9910 publication_status: published publisher: Springer Nature quality_controlled: '1' scopus_import: '1' status: public title: Invariance of white noise for KdV on the line type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 222 year: '2020' ...