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Bela Abolfathi , R. Armstrong , Humna Awan , Yadu Babuji , F. E. Bauer , George Beckett , Rahul Biswas , J. R. Bogart , D. Boutigny , Kyle Chard , J. Chiang , J. Cohen-Tanugi , Andrew J. Connolly , Scott F. Daniel , S. W. Digel , A. Drlica-Wagner , R. Dubois , Eric Gawiser , T. Glanzman , Salman Habib , Andrew P. Hearin , Katrin Heitmann , Fabio Hernandez , Renée Hložek , Joseph Hollowed , Mike Jarvis , Saurabh W. Jha , J. Bryce Kalmbach , Heather Kelly , E. Kovacs , Danila Korytov , K. Simon Krughoff , Craig Lage , François Lanusse , Patricia Larsen , Nan Li , Emily Phillips Longley , Robert H. Lupton , Rachel Mandelbaum , Yao-Yuan Mao , Philip J. Marshall , J. Meyers , Ji Won Park , J. Peloton , Daniel Perrefort , James Perry , S. Plaszczynski , Adrian Pope , E. S. Rykoff , Javier Sánchez , Samuel J. Schmidt , Thomas Uram , Antonio Villarreal , C. W. Walter , Matthew Wiesner , W. M. Wood‐Vasey ·

YOU? · · 2021 · Open Access ·

In preparation for cosmological analyses of the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST), the LSST Dark Energy Science Collaboration (LSST DESC) has created a 300 deg$^2$ simulated survey as part of an effort called Data Challenge 2 (DC2). The DC2 simulated sky survey, in six optical bands with observations following a reference LSST observing cadence, was processed with the LSST Science Pipelines (19.0.0). In this Note, we describe the public data release of the resulting object catalogs for the coadded images of five years of simulated observations along with associated truth catalogs. We include a brief description of the major features of the available data sets. To enable convenient access to the data products, we have developed a web portal connected to Globus data services. We describe how to access the data and provide example Jupyter Notebooks in Python to aid first interactions with the data. We welcome feedback and questions about the data release via a GitHub repository.

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Type: preprint
Language: fr
Landing Page: http://arxiv.org/abs/2101.04855
PDF: https://arxiv.org/pdf/2101.04855
OA Status: green
Cited By: 2
References: 3
Related Works: 10
OpenAlex ID: https://openalex.org/W3118642256

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OpenAlex ID: https://openalex.org/W3118642256

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Title: DESC DC2 Data Release Note

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Type: preprint

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Language: fr

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Publication year: 2021

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Publication date: 2021-02-02

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Authors: Bela Abolfathi, R. Armstrong, Humna Awan, Yadu Babuji, F. E. Bauer, George Beckett, Rahul Biswas, J. R. Bogart, D. Boutigny, Kyle Chard, J. Chiang, J. Cohen-Tanugi, Andrew J. Connolly, Scott F. Daniel, S. W. Digel, A. Drlica-Wagner, R. Dubois, Eric Gawiser, T. Glanzman, Salman Habib, Andrew P. Hearin, Katrin Heitmann, Fabio Hernandez, Renée Hložek, Joseph Hollowed, Mike Jarvis, Saurabh W. Jha, J. Bryce Kalmbach, Heather Kelly, E. Kovacs, Danila Korytov, K. Simon Krughoff, Craig Lage, François Lanusse, Patricia Larsen, Nan Li, Emily Phillips Longley, Robert H. Lupton, Rachel Mandelbaum, Yao-Yuan Mao, Philip J. Marshall, J. Meyers, Ji Won Park, J. Peloton, Daniel Perrefort, James Perry, S. Plaszczynski, Adrian Pope, E. S. Rykoff, Javier Sánchez, Samuel J. Schmidt, Thomas Uram, Antonio Villarreal, C. W. Walter, Matthew Wiesner, W. M. Wood‐Vasey

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Landing page: https://arxiv.org/abs/2101.04855

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PDF URL: https://arxiv.org/pdf/2101.04855

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Concepts: Business, Computer science

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Cited by: 2

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