Neural Posterior Estimation for Cataloging Astronomical Images with Spatially Varying Backgrounds and Point Spread Functions by Aakash Patel, Tianqing Zhang, Camille Avestruz, Jeffrey Regier, The LSST Dark Energy Science Collaboration

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Astrometric Redshifts of Supernovae by Jaemyoung (Jason) Lee, Masao Sako, Richard Kessler, Alex I. Malz, The LSST Dark Energy Science Collaboration

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Generation of realistic input parameters for simulating atmospheric point-spread functions at astronomical observatories by Claire-Alice Hébert, Joshua E. Meyers, My H. Do, Patricia R. Burchat, LSST Dark Energy Science Collaboration

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A Cohesive Deep Drilling Field Strategy for LSST Cosmology by Philippe Gris, Humna Awan, Matthew R. Becker, Huan Lin, Eric Gawiser, Saurabh W. Jha, The LSST Dark Energy Science Collaboration

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A halo model approach for mock catalogs of time-variable strong gravitational lenses by Katsuya T. Abe, Masamune Oguri, Simon Birrer, Narayan Khadka, Philip J. Marshall, Cameron Lemon, Anupreeta More, the LSST Dark Energy Science Collaboration

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Lens Modeling of STRIDES Strongly Lensed Quasars Using Neural Posterior Estimation by Sydney Erickson, Sebastian Wagner-Carena, Phil Marshall, Martin Millon, Simon Birrer, Aaron Roodman, Thomas Schmidt, Tommaso Treu, Stefan Schuldt, Anowar J. Shajib, Padma Venkatraman, The LSST Dark Energy Science Collaboration

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Predictions for the Detectability of Milky Way Satellite Galaxies and Outer-Halo Star Clusters with the Vera C. Rubin Observatory by Kabelo Tsiane, Sidney Mau, Alex Drlica-Wagner, Jeffrey L. Carlin, Peter S. Ferguson, Keith Bechtol, Ethan O. Nadler, Annika H. G. Peter, Yao-Yuan Mao, Adam J. Thornton, LSST Dark Energy Science Collaboration

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DeepDISC-photoz: Deep Learning-Based Photometric Redshift Estimation for Rubin LSST by Grant Merz, Xin Liu, Samuel Schmidt, Alex I. Malz, Tianqing Zhang, Doug Branton, Colin J. Burke, Melissa Delucchi, Yaswant Sai Ejjagiri, Jeremy Kubica, Yichen Liu, Olivia Lynn, Drew Oldag, The LSST Dark Energy Science Collaboration

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The Blending ToolKit: A simulation framework for evaluation of galaxy detection and deblending by Ismael Mendoza, Andrii Torchylo, Thomas Sainrat, Axel Guinot, Alexandre Boucaud, Maxime Paillasa, Camille Avestruz, Prakruth Adari, Eric Aubourg, Biswajit Biswas, James Buchanan, Patricia Burchat, Cyrille Doux, Remy Joseph, Sowmya Kamath, Alex I. Malz, Grant Merz, Hironao Miyatake, Cécile Roucelle, Tianqing Zhang, LSST Dark Energy Science Collaboration

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