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DOI: 10.1051/0004-6361/202039887
arXiv: 2102.05516

Boogaard, Leindert A., et al. “Measuring the Average Molecular Gas Content of Star-Forming Galaxies at z = 3–4.”10.3847/1538-4357/ac01d7__The Astrophysical Journal, vol. 916, no. 1, 12, IOP Publishing, 2021, doi:10.3847/1538-4357/ac01d7.
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arXiv: 2105.12489

Matthee, Jorryt J., et al. “The X-SHOOTER Lyman ;1 Survey at z = 2 (XLS-Z2) I: What Makes a Galaxy a Lyman ;1 Emitter?”10.1093/mnras/stab1304__Monthly Notices of the Royal Astronomical Society, vol. 505, no. 1, Oxford University Press, 2021, pp. 1382–412, doi:10.1093/mnras/stab1304.
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DOI: 10.1093/mnras/stab1304
arXiv: 2102.07779

Gallego, Sofia G., et al. “Constraining the Cosmic UV Background at z &; 3 with MUSE Lyman-;1 Emission Observations.”10.1093/mnras/stab796__Monthly Notices of the Royal Astronomical Society, vol. 504, no. 1, Oxford University Press, 2021, pp. 16–32, doi:10.1093/mnras/stab796.
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DOI: 10.1093/mnras/stab796
arXiv: 2103.09250

Gronke, Max, et al. “Lyman-;1 Transmission Properties of the Intergalactic Medium in the CoDaII Simulation.”10.1093/mnras/stab2762__Monthly Notices of the Royal Astronomical Society, vol. 508, no. 3, Oxford University Press, 2021, pp. 3697–709, doi:10.1093/mnras/stab2762.
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DOI: 10.1093/mnras/stab2762
arXiv: 2004.14496

Mackenzie, Ruari, et al. “Revealing the Impact of Quasar Luminosity on Giant Ly;1 Nebulae.”10.1093/mnras/staa3277__Monthly Notices of the Royal Astronomical Society, vol. 502, no. 1, Oxford University Press, 2021, pp. 494–509, doi:10.1093/mnras/staa3277.
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DOI: 10.1093/mnras/staa3277
arXiv: 2010.12589

Santos, S., et al. “The Evolution of the UV Luminosity and Stellar Mass Functions of Lyman-;1 Emitters from z c 2 to z c 6.”10.1093/mnras/stab1218__Monthly Notices of the Royal Astronomical Society, vol. 505, no. 1, Oxford University Press, 2021, pp. 1117–34, doi:10.1093/mnras/stab1218.
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DOI: 10.1093/mnras/stab1218
arXiv: 2105.00007

Matthee, Jorryt J. “Differences in Galaxy Colours Are Not Just about the Mass.”10.1038/s41550-021-01415-y__Nature Astronomy, vol. 5, Springer Nature, 2021, pp. 984–85, doi:10.1038/s41550-021-01415-y.
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arXiv: 1802.06786

Audenaert, J., et al. “TESS Data for Asteroseismology (T’DA) Stellar Variability Classification Pipeline: Setup and Application to the Kepler10.3847/1538-3881/ac166a__Data.”10.3847/1538-3881/ac166a__The Astronomical Journal, vol. 162, no. 5, 209, IOP Publishing, 2021, doi:10.3847/1538-3881/ac166a.
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arXiv: 2107.06301

Breton, S. N., et al. “ROOSTER: A Machine-Learning Analysis Tool for Kepler Stellar Rotation Periods.”10.1051/0004-6361/202039947__Astronomy &; Astrophysics, vol. 647, 5, EDP Sciences, 2021, doi:10.1051/0004-6361/202039947.
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arXiv: 2101.10152

Park, J., et al. “Horizontal Shear Instabilities in Rotating Stellar Radiation Zones: II. Effects of the Full Coriolis Acceleration.”10.1051/0004-6361/202038654__Astronomy &; Astrophysics, vol. 646, , EDP Sciences, 2021, doi:10.1051/0004-6361/202038654.
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arXiv: 2006.10660

Bugnet, Lisa Annabelle, et al. “Magnetic Signatures on Mixed-Mode Frequencies: I. An Axisymmetric Fossil Field inside the Core of Red Giants.”10.1051/0004-6361/202039159__Astronomy &; Astrophysics, vol. 650, , EDP Sciences, 2021, doi:10.1051/0004-6361/202039159.
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arXiv: 2102.01216

Mathis, S., et al. “Probing the Internal Magnetism of Stars Using Asymptotic Magneto-Asteroseismology.”10.1051/0004-6361/202039180__Astronomy &; Astrophysics, vol. 647, 2, EDP Sciences, 2021, doi:10.1051/0004-6361/202039180.
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DOI: 10.1051/0004-6361/202039180
arXiv: 2012.11050

Henzinger, Monika H., et al. “On the Complexity of Weight-Dynamic Network Algorithms.”10.23919/ifipnetworking52078.2021.9472803__IFIP Networking Conference, Institute of Electrical and Electronics Engineers, 2021, doi:10.23919/ifipnetworking52078.2021.9472803.
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DOI: 10.23919/ifipnetworking52078.2021.9472803
arXiv: 2105.13172

Bernstein, Aaron, et al. “A Deamortization Approach for Dynamic Spanner and Dynamic Maximal Matching.”10.1145/3469833__ACM Transactions on Algorithms, vol. 17, no. 4, 29, Association for Computing Machinery, 2021, doi:10.1145/3469833.
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DOI: 10.1145/3469833
arXiv: 1810.10932

Henzinger, Monika H., and Pan Peng. “Constant-Time Dynamic Weight Approximation for Minimum Spanning Forest.”10.1016/j.ic.2021.104805__Information and Computation, vol. 281, no. 12, 104805, Elsevier, 2021, doi:10.1016/j.ic.2021.104805.
LibreCat: https://research-explorer.ista.ac.at/record/11756
DOI: 10.1016/j.ic.2021.104805
arXiv: 2011.00977

Henzinger, Monika H., and Xiaowei Wu. “Upper and Lower Bounds for Fully Retroactive Graph Problems.”10.1007/978-3-030-83508-8_34__17th International Symposium on Algorithms and Data Structures, vol. 12808, Springer Nature, 2021, pp. 471–484, doi:10.1007/978-3-030-83508-8_34.
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arXiv: 1910.03332

Fichtenberger, Hendrik, et al. “Differentially Private Algorithms for Graphs under Continual Observation.”10.4230/LIPIcs.ESA.2021.42__29th Annual European Symposium on Algorithms, vol. 204, 42, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021, doi:10.4230/LIPIcs.ESA.2021.42.
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DOI: 10.4230/LIPIcs.ESA.2021.42
arXiv: 2106.14756

Henzinger, Monika H., et al. “A Deterministic Almost-Tight Distributed Algorithm for Approximating Single-Source Shortest Paths.”10.1137/16m1097808__SIAM Journal on Computing, vol. 50, no. 3, Society for Industrial &; Applied Mathematics, 2021, pp. STO-98-STO-137, doi:10.1137/16m1097808.
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DOI: 10.1137/16m1097808
arXiv: 1504.07056

Bergamaschi, Thiago, et al. “New Techniques and Fine-Grained Hardness for Dynamic near-Additive Spanners.”10.1137/1.9781611976465.110__32nd Annual ACM-SIAM Symposium on Discrete Algorithms, Society for Industrial and Applied Mathematics, 2021, pp. 1836–55, doi:10.1137/1.9781611976465.110.
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DOI: 10.1137/1.9781611976465.110
arXiv: 2010.10134