檢索結果 - LSST Dark Energy Science Collaboration

Characterizing the Sample Selection for Supernova Cosmology 由 Alex G. Kim, The LSST Dark Energy Science Collaboration

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IRMaGiC: Extending Luminous Red Galaxy Selection into the Infrared with Joint Rubin Observatory's Large Survey of Space Time and Roman's High Latitude Imaging Survey 由 Zhiyuan Guo, Chris. W. Walter, Eli S. Rykoff, LSST Dark Energy Science Collaboration

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Using Host Galaxy Photometric Redshifts to Improve Cosmological Constraints with Type Ia Supernovae in the LSST Era 由 Ayan Mitra, Richard Kessler, Surhud More, Renee Hlozek, The LSST Dark Energy Science Collaboration

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

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Catalog-based detection of unrecognized blends in deep optical ground based imaging 由 Shuang Liang, Prakruth Adari, Anja von der Linden, LSST Dark Energy Science Collaboration

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Metadetection Weak Lensing for the Vera C. Rubin Observatory 由 Erin S. Sheldon, Matthew R. Becker, Michael Jarvis, Robert Armstrong, LSST Dark Energy Science Collaboration

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

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What’s the Difference? The Potential for Convolutional Neural Networks for Transient Detection without Template Subtraction 由 Tatiana Acero-Cuellar, Federica Bianco, Gregory Dobler, Masao Sako, Helen Qu, The LSST Dark Energy Science Collaboration

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

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Impact of Rubin Observatory Cadence Choices on Supernovae Photometric Classification 由 Catarina S. Alves, Hiranya V. Peiris, Michelle Lochner, Jason D. McEwen, Richard Kessler, The LSST Dark Energy Science Collaboration

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Improved Tomographic Binning of 3 × 2 pt Lens Samples: Neural Network Classifiers and Optimal Bin Assignments 由 Irene Moskowitz, Eric Gawiser, Abby Bault, Adam Broussard, Jeffrey A. Newman, Joe Zuntz, The LSST Dark Energy Science Collaboration

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

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Improving Photometric Redshift Estimates with Training Sample Augmentation 由 Irene Moskowitz, Eric Gawiser, John Franklin Crenshaw, Brett H. Andrews, Alex I. Malz, Samuel Schmidt, The LSST Dark Energy Science Collaboration

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A halo model approach for mock catalogs of time-variable strong gravitational lenses 由 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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PSFs of coadded images 由 Rachel Mandelbaum, Mike Jarvis, Robert H. Lupton, James Bosch, Arun Kannawadi, Michael D. Murphy, Tianqing Zhang, the LSST Dark Energy Science Collaboration

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An Empirical Model For Intrinsic Alignments: Insights From Cosmological Simulations 由 Nicholas Van Alfen, Duncan Campbell, Jonathan Blazek, C. Danielle Leonard, Francois Lanusse, Andrew Hearin, Rachel Mandelbaum, The LSST Dark Energy Science Collaboration

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Galaxy Clustering with LSST: Effects of Number Count Bias from Blending 由 Benjamin Levine, Javier Sánchez, Chihway Chang, Anja von der Linden, Eboni Collins, Eric Gawiser, Katarzyna Krzyżańska, Boris Leistedt, LSST Dark Energy Science Collaboration

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Probabilistic Forward Modeling of Galaxy Catalogs with Normalizing Flows 由 John Franklin Crenshaw, J. Bryce Kalmbach, Alexander Gagliano, Ziang Yan, Andrew J. Connolly, Alex I. Malz, Samuel J. Schmidt, The LSST Dark Energy Science Collaboration

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Hierarchical Inference of the Lensing Convergence from Photometric Catalogs with Bayesian Graph Neural Networks 由 Ji Won Park, Simon Birrer, Madison Ueland, Miles Cranmer, Adriano Agnello, Sebastian Wagner-Carena, Philip J. Marshall, Aaron Roodman, the LSST Dark Energy Science Collaboration

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Designing an Optimal LSST Deep Drilling Program for Cosmology with Type Ia Supernovae 由 Philippe Gris, Nicolas Regnault, Humna Awan, Isobel Hook, Saurabh W. Jha, Michelle Lochner, Bruno Sanchez, Dan Scolnic, Mark Sullivan, Peter Yoachim, The LSST Dark Energy Science Collaboration

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