Publications

This page lists publications by the LSST DESC, defined by our Publication Policy. You can also view this publication list on NASA ADS.

Submitted for Publication

The Impact of Observing Strategy on Cosmological Constraints with LSST, Lochner, M., Scolnic, D., Almoubayyed, H., Anguita, T., Awan, H., Gawiser, E., Gontcho, S. G. A., Gris, P., Huber, S., Jha, S. W., Jones, R. L., Kim, A. G., Mandelbaum, R., Marshall, P., Petrushevska, T., Regnault, N., Setzer, C. N., Suyu, S. H., Yoachim, P., Biswas, R., Blaineau, T., Hook, I., Moniez, M., Neilsen, E., Peiris, H., Rothchild, D., and Stubbs, C., arXiv:2104.05676 [ADS]

Effects of overlapping sources on cosmic shear estimation: Statistical sensitivity and pixel-noise bias, Sanchez, J., Mendoza, I., Kirkby, D. P., and Burchat, P. R., arXiv:2103.02078 [ADS]

Variational Inference for Deblending Crowded Starfields, Liu, R., McAuliffe, J. D., and Regier, J., arXiv:2102.02409 [ADS]

A Composite Likelihood Approach for Inference under Photometric Redshift Uncertainty, Rau, M. M., Morrison, C. B., Schmidt, S. J., Wilson, S., Mandelbaum, R., and Mao, Y. Y., arXiv:2101.01184 [ADS]

Results of the Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC), Hložek, R., Ponder, K. A., Malz, A. I., Dai, M., Narayan, G., Ishida, E. E. O., Allam, T., Bahmanyar, A., Biswas, R., Galbany, L., Jha, S. W., Jones, D. O., Kessler, R., Lochner, M., Mahabal, A. A., Mandel, K. S., Martínez-Galarza, J. R., McEwen, J. D., Muthukrishna, D., Peiris, H. V., Peters, C. M., and Setzer, C. N., arXiv:2012.12392 [ADS]

Optimising a magnitude-limited spectroscopic training sample for photometric classification of supernovae, Carrick, J. E., Hook, I. M., Swann, E., Boone, K., Frohmaier, C., Kim, A. G., and Sullivan, M., arXiv:2012.12122 [ADS]

Data Compression and Covariance Matrix Inspection: Cosmic Shear, Ferreira, T., Zhang, T., Chen, N., and Dodelson, S., arXiv:2010.15986 [ADS]

Matter Power Spectrum Emulator for f(R) Modified Gravity Cosmologies, Ramachandra, N., Valogiannis, G., Ishak, M., and Heitmann, K., arXiv:2010.00596 [ADS][Zenodo]

Sparse Bayesian mass-mapping with uncertainties: hypothesis testing of structure, Price, M. A., McEwen, J. D., Cai, X., Kitching, T. D., and Wallis, C. G. R., arXiv:1812.04014 [ADS]

Published Journal Papers

2021

The LSST DESC DC2 Simulated Sky Survey, LSST Dark Energy Science Collaboration LSST DESC, Abolfathi, B., Alonso, D., Armstrong, R., Aubourg, É., Awan, H., Babuji, Y. N., Bauer, F. E., Bean, R., Beckett, G., Biswas, R., Bogart, J. R., Boutigny, D., Chard, K., Chiang, J., Claver, C. F., Cohen-Tanugi, J., Combet, C., Connolly, A. J., Daniel, S. F., Digel, S. W., Drlica-Wagner, A., Dubois, R., Gangler, E., Gawiser, E., Glanzman, T., Gris, P., Habib, S., Hearin, A. P., Heitmann, K., Hernandez, F., Hložek, R., Hollowed, J., Ishak, M., Ivezić, Ž., Jarvis, M., Jha, S. W., Kahn, S. M., Kalmbach, J. B., Kelly, H. M., Kovacs, E., Korytov, D., Krughoff, K. S., Lage, C. S., Lanusse, F., Larsen, P., Le Guillou, L., Li, N., Longley, E. P., Lupton, R. H., Mandelbaum, R., Mao, Y.-Y., Marshall, P., Meyers, J. E., Moniez, M., Morrison, C. B., Nomerotski, A., O’Connor, P., Park, H., Park, J. W., Peloton, J., Perrefort, D., Perry, J., Plaszczynski, S., Pope, A., Rasmussen, A., Reil, K., Roodman, A. J., Rykoff, E. S., Sánchez, F. J., Schmidt, S. J., Scolnic, D., Stubbs, C. W., Tyson, J. A., Uram, T. D., Villarreal, A., Walter, C. W., Wiesner, M. P., Wood-Vasey, W. M., and Zuntz, J., ApJS, 253, 31 (2021) [arXiv][ADS]

Large-scale Gravitational Lens Modeling with Bayesian Neural Networks for Accurate and Precise Inference of the Hubble Constant, Park, J. W., Wagner-Carena, S., Birrer, S., Marshall, P. J., Lin, J. Y.-Y., Roodman, A., and LSST Dark Energy Science Collaboration, ApJ, 910, 39 (2021) [arXiv][ADS]

Hierarchical Inference with Bayesian Neural Networks: An Application to Strong Gravitational Lensing, Wagner-Carena, S., Park, J. W., Birrer, S., Marshall, P. J., Roodman, A., Wechsler, R. H., and LSST Dark Energy Science Collaboration, ApJ, 909, 187 (2021) [arXiv][ADS][Zenodo]

Characterizing the Sample Selection for Supernova Cosmology, Kim, A. G. and LSST Dark Energy Science Consortium, OJAp, 4, 2 (2021) [arXiv][ADS]

GHOST: Using Only Host Galaxy Information to Accurately Associate and Distinguish Supernovae, Gagliano, A., Narayan, G., Engel, A., Carrasco Kind, M., and LSST Dark Energy Science Collaboration, ApJ, 908, 170 (2021) [arXiv][ADS]

Deblending galaxies with variational autoencoders: A joint multiband, multi-instrument approach, Arcelin, B., Doux, C., Aubourg, E., Roucelle, C., and LSST Dark Energy Science Collaboration, MNRAS, 500, 531 (2021) [arXiv][ADS]

2020

Non-Gaussianity in the weak lensing correlation function likelihood - implications for cosmological parameter biases, Lin, C.-H., Harnois-Déraps, J., Eifler, T., Pospisil, T., Mandelbaum, R., Lee, A. B., Singh, S., and LSST Dark Energy Science Collaboration, MNRAS, 499, 2977 (2020) [arXiv][ADS]

Evaluation of probabilistic photometric redshift estimation approaches for The Rubin Observatory Legacy Survey of Space and Time (LSST), Schmidt, S. J., Malz, A. I., Soo, J. Y. H., Almosallam, I. A., Brescia, M., Cavuoti, S., Cohen-Tanugi, J., Connolly, A. J., DeRose, J., Freeman, P. E., Graham, M. L., Iyer, K. G., Jarvis, M. J., Kalmbach, J. B., Kovacs, E., Lee, A. B., Longo, G., Morrison, C. B., Newman, J. A., Nourbakhsh, E., Nuss, E., Pospisil, T., Tranin, H., Wechsler, R. H., Zhou, R., Izbicki, R., and LSST Dark Energy Science Collaboration, MNRAS, 499, 1587 (2020) [arXiv][ADS]

Optimizing LSST observing strategy for weak lensing systematics, Almoubayyed, H., Mandelbaum, R., Awan, H., Gawiser, E., Jones, R. L., Meyers, J., Tyson, J. A., Yoachim, P., and LSST Dark Energy Science Collaboration, MNRAS, 499, 1140 (2020) [arXiv][ADS]

The LSST DESC data challenge 1: generation and analysis of synthetic images for next-generation surveys, Sánchez, J., Walter, C. W., Awan, H., Chiang, J., Daniel, S. F., Gawiser, E., Glanzman, T., Kirkby, D., Mandelbaum, R., Slosar, A., Wood-Vasey, W. M., AlSayyad, Y., Burke, C. J., Digel, S. W., Jarvis, M., Johnson, T., Kelly, H., Krughoff, S., Lupton, R. H., Marshall, P. J., Peterson, J. R., Price, P. A., Sembroski, G., Van Klaveren, B., Wiesner, M. P., Xin, B., and LSST Dark Energy Science Collaboration, MNRAS, 497, 210 (2020) [arXiv][ADS]

Generating synthetic cosmological data with GalSampler, Hearin, A., Korytov, D., Kovacs, E., Benson, A., Aung, H., Bradshaw, C., Campbell, D., and LSST Dark Energy Science Collaboration, MNRAS, 495, 5040 (2020) [arXiv][ADS]

Enabling Catalog Simulations of Transient and Variable Sources Based on LSST Cadence Strategies, Biswas, R., Daniel, S. F., Hložek, R., Kim, A. G., Yoachim, P., and LSST Dark Energy Science Collaboration, ApJS, 247, 60 (2020) [arXiv][ADS][Zenodo]

Tomographic galaxy clustering with the Subaru Hyper Suprime-Cam first year public data release, Nicola, A., Alonso, D., Sánchez, J., Slosar, A., Awan, H., Broussard, A., Dunkley, J., Gawiser, E., Gomes, Z., Mandelbaum, R., Miyatake, H., Newman, J. A., Sevilla-Noarbe, I., Skinner, S., and Wagoner, E. L., JCAP, 2020, 044 (2020) [arXiv][ADS]

Sparse Bayesian mass mapping with uncertainties: local credible intervals, Price, M. A., Cai, X., McEwen, J. D., Pereyra, M., Kitching, T. D., and LSST Dark Energy Science Collaboration, MNRAS, 492, 394 (2020) [arXiv][ADS]

Shear Measurement Bias Due to Spatially Varying Spectral Energy Distributions in Galaxies, Kamath, S., Meyers, J. E., Burchat, P. R., and LSST Dark Energy Science Collaboration, ApJ, 888, 23 (2020) [arXiv][ADS]

2019

CosmoDC2: A Synthetic Sky Catalog for Dark Energy Science with LSST, Korytov, D., Hearin, A., Kovacs, E., Larsen, P., Rangel, E., Hollowed, J., Benson, A. J., Heitmann, K., Mao, Y.-Y., Bahmanyar, A., Chang, C., Campbell, D., DeRose, J., Finkel, H., Frontiere, N., Gawiser, E., Habib, S., Joachimi, B., Lanusse, F., Li, N., Mandelbaum, R., Morrison, C., Newman, J. A., Pope, A., Rykoff, E., Simet, M., To, C.-H., Vikraman, V., Wechsler, R. H., White, M., and The LSST Dark Energy Science Collaboration, ApJS, 245, 26 (2019) [arXiv][ADS]

Sparse Bayesian mass mapping with uncertainties: peak statistics and feature locations, Price, M. A., McEwen, J. D., Cai, X., Kitching, T. D., and LSST Dark Energy Science Collaboration, MNRAS, 489, 3236 (2019) [arXiv][ADS]

The Photometric LSST Astronomical Time-series Classification Challenge PLAsTiCC: Selection of a Performance Metric for Classification Probabilities Balancing Diverse Science Goals, Malz, A. I., Hložek, R., Allam, T., Bahmanyar, A., Biswas, R., Dai, M., Galbany, L., Ishida, E. E. O., Jha, S. W., Jones, D. O., Kessler, R., Lochner, M., Mahabal, A. A., Mandel, K. S., Martínez-Galarza, J. R., McEwen, J. D., Muthukrishna, D., Narayan, G., Peiris, H., Peters, C. M., Ponder, K., Setzer, C. N., the LSST Dark Energy Science Collaboration, and the LSST Transients and Variable Stars Science Collaboration, AJ, 158, 171 (2019) [arXiv][ADS]

Strongly lensed SNe Ia in the era of LSST: observing cadence for lens discoveries and time-delay measurements, Huber, S., Suyu, S. H., Noebauer, U. M., Bonvin, V., Rothchild, D., Chan, J. H. H., Awan, H., Courbin, F., Kromer, M., Marshall, P., Oguri, M., Ribeiro, T., and LSST Dark Energy Science Collaboration, A&A, 631, A161 (2019) [arXiv][ADS]

Models and Simulations for the Photometric LSST Astronomical Time Series Classification Challenge (PLAsTiCC), Kessler, R., Narayan, G., Avelino, A., Bachelet, E., Biswas, R., Brown, P. J., Chernoff, D. F., Connolly, A. J., Dai, M., Daniel, S., Di Stefano, R., Drout, M. R., Galbany, L., González-Gaitán, S., Graham, M. L., Hložek, R., Ishida, E. E. O., Guillochon, J., Jha, S. W., Jones, D. O., Mandel, K. S., Muthukrishna, D., O’Grady, A., Peters, C. M., Pierel, J. R., Ponder, K. A., Prša, A., Rodney, S., Villar, V. A., LSST Dark Energy Science Collaboration, and Transient and Variable Stars Science Collaboration, PASP, 131, 094501 (2019) [arXiv][ADS][Zenodo-1][Zenodo-2]

The shape of the photon transfer curve of CCD sensors, Astier, P., Antilogus, P., Juramy, C., Le Breton, R., Le Guillou, L., and Sepulveda, E., A&A, 629, A36 (2019) [arXiv][ADS]

Serendipitous discoveries of kilonovae in the LSST main survey: maximizing detections of sub-threshold gravitational wave events, Setzer, C. N., Biswas, R., Peiris, H. V., Rosswog, S., Korobkin, O., Wollaeger, R. T., and LSST Dark Energy Science Collaboration, MNRAS, 485, 4260 (2019) [arXiv][ADS]

Core Cosmology Library: Precision Cosmological Predictions for LSST, Chisari, N. E., Alonso, D., Krause, E., Leonard, C. D., Bull, P., Neveu, J., Villarreal, A., Singh, S., McClintock, T., Ellison, J., Du, Z., Zuntz, J., Mead, A., Joudaki, S., Lorenz, C. S., Tröster, T., Sanchez, J., Lanusse, F., Ishak, M., Hložek, R., Blazek, J., Campagne, J.-E., Almoubayyed, H., Eifler, T., Kirby, M., Kirkby, D., Plaszczynski, S., Slosar, A., Vrastil, M., Wagoner, E. L., and LSST Dark Energy Science Collaboration, ApJS, 242, 2 (2019) [arXiv][ADS][Zenodo]

A unified pseudo-C framework, Alonso, D., Sanchez, J., Slosar, A., and LSST Dark Energy Science Collaboration, MNRAS, 484, 4127 (2019) [arXiv][ADS]

Self-calibration method for II and GI types of intrinsic alignments of galaxies, Yao, J., Ishak, M., Troxel, M. A., and LSST Dark Energy Science Collaboration, MNRAS, 483, 276 (2019) [arXiv][ADS]

A unified analysis of four cosmic shear surveys, Chang, C., Wang, M., Dodelson, S., Eifler, T., Heymans, C., Jarvis, M., Jee, M. J., Joudaki, S., Krause, E., Malz, A., Mandelbaum, R., Mohammed, I., Schneider, M., Simet, M., Troxel, M. A., Zuntz, J., and LSST Dark Energy Science Collaboration, MNRAS, 482, 3696 (2019) [arXiv][ADS][Zenodo]

2018

Measuring the scale dependence of intrinsic alignments using multiple shear estimates, Leonard, C. D., Mandelbaum, R., and LSST Dark Energy Science Collaboration, MNRAS, 479, 1412 (2018) [arXiv][ADS]

Approximating Photo-z PDFs for Large Surveys, Malz, A. I., Marshall, P. J., DeRose, J., Graham, M. L., Schmidt, S. J., Wechsler, R., and LSST Dark Energy Science Collaboration, AJ, 156, 35 (2018) [arXiv][ADS]

DESCQA: An Automated Validation Framework for Synthetic Sky Catalogs, Mao, Y.-Y., Kovacs, E., Heitmann, K., Uram, T. D., Benson, A. J., Campbell, D., Cora, S. A., DeRose, J., Di Matteo, T., Habib, S., Hearin, A. P., Bryce Kalmbach, J., Krughoff, K. S., Lanusse, F., Lukić, Z., Mandelbaum, R., Newman, J. A., Padilla, N., Paillas, E., Pope, A., Ricker, P. M., Ruiz, A. N., Tenneti, A., Vega-Martínez, C. A., Wechsler, R. H., Zhou, R., Zu, Y., and LSST Dark Energy Science Collaboration, ApJS, 234, 36 (2018) [arXiv][ADS][Zenodo]

Released DESC Notes and White Papers

2021

DESC DC2 Data Release Note, LSST Dark Energy Science Collaboration, Abolfathi, B., Armstrong, R., Awan, H., Babuji, Y. N., Bauer, F. E., Beckett, G., Biswas, R., Bogart, J. R., Boutigny, D., Chard, K., Chiang, J., Cohen-Tanugi, J., Connolly, A. J., Daniel, S. F., Digel, S. W., Drlica-Wagner, A., Dubois, R., Gawiser, E., Glanzman, T., Habib, S., Hearin, A. P., Heitmann, K., Hernandez, F., Hložek, R., Hollowed, J., Jarvis, M., Jha, S. W., Bryce Kalmbach, J., Kelly, H. M., Kovacs, E., Korytov, D., Krughoff, K. S., Lage, C. S., Lanusse, F., Larsen, P., Li, N., Longley, E. P., Lupton, R. H., Mandelbaum, R., Mao, Y.-Y., Marshall, P., Meyers, J. E., Park, J. W., Peloton, J., Perrefort, D., Perry, J., Plaszczynski, S., Pope, A., Rykoff, E. S., Sánchez, F. J., Schmidt, S. J., Uram, T. D., Villarreal, A., Walter, C. W., Wiesner, M. P., and Wood-Vasey, W. M., arXiv:2101.04855 [ADS]

2020

Recommended Target Fields for Commissioning the Vera C. Rubin Observatory, Amon, A., Bechtol, K., Connolly, A. J., Digel, S. W., Drlica-Wagner, A., Gawiser, E., Jarvis, M., Jha, S. W., von der Linden, A., Moniez, M., Narayan, G., Regnault, N., Sevilla-Noarbe, I., Schmidt, S. J., Suyu, S. H., and Walter, C. W., arXiv:2010.15318 [ADS][Zenodo]

2019

Modified Gravity and Dark Energy models Beyond $w(z)$CDM Testable by LSST, Ishak, M., Baker, T., Bull, P., Pedersen, E. M., Blazek, J., Ferreira, P. G., Leonard, C. D., Lin, W., Linder, E., Pardo, K., and Valogiannis, G., arXiv:1905.09687 [ADS]

Single-object Imaging and Spectroscopy to Enhance Dark Energy Science from LSST, Hložek, R., Collett, T., Galbany, L., Goldstein, D. A., Jha, S. W., Kim, A. G., Newman, J. A., Perlmutter, S., Perrefort, D. J., Sullivan, M., Verma, A., and LSST Dark Energy Science Collaboration, arXiv:1903.09324 [ADS]

Wide-field Multi-object Spectroscopy to Enhance Dark Energy Science from LSST, Mandelbaum, R., Blazek, J., Chisari, N. E., Collett, T., Galbany, L., Gawiser, E., Hložek, R. A., Kim, A. G., Leonard, C. D., Lochner, M., Mandelbaum, R., Newman, J. A., Perrefort, D. J., Schmidt, S. J., Singh, S., Sullivan, M., and LSST Dark Energy Science Collaboration, arXiv:1903.09323 [ADS]

Deep Multi-object Spectroscopy to Enhance Dark Energy Science from LSST, Newman, J., Blazek, J., Chisari, N. E., Clowe, D., Dell’Antonio, I., Gawiser, E., Hložek, R. A., Kim, A. G., von der Linden, A., Lochner, M., Mandelbaum, R., Medezinski, E., Melchior, P., Newman, J. A., Sánchez, F. J., Schmidt, S. J., Singh, S., and LSST Dark Energy Science Collaboration, arXiv:1903.09325 [ADS]

Cosmological Synergies Enabled by Joint Analysis of Multi-probe data from WFIRST, Euclid, and LSST, Rhodes, J., Alonso, D., Ansarinejad, B., Armstrong, R., Asorey, J., Avelino, A., Blazek, J., Castander, F. J., Chary, R. R., Chen, X., Choi, A., Clowe, D., Cohen-Tanugi, J., Comparat, J., Croft, R. A. C., Doré, O., Escoffier, S., Foley, R., Fosalba, P., Gruen, D., Gupta, N., Guzzo, L., Hawken, A. J., Hemmati, S., Heitmann, K., Hernquist, L., Heymans, C., Hirata, C. M., Hoekstra, H., Huterer, D., Iliev, I. T., Jain, B., Jha, S. W., Keeley, R. E., Kiessling, A., Kitching, T., Koekemoer, A., Koushiappas, S. M., Kovetz, E. D., Kruk, J., L’Huillier, B., Lahav, O., Lemos, P., Macorra, A. de . la ., Malagón, A. P., Mandelbaum, R., Masters, D., McQuinn, M., Melchior, P., Miyatake, H., Newman, J. A., Nichol, R., Niz, G., O’Connor, P., Penna-Lima, M., Percival, W. J., Perlmutter, S., Pisani, A., Rigault, M., Rossi, G., Schmittfull, M., Schuhmann, R., Scolnic, D., Sereno, M., Shan, H., Shirasaki, M., Simon, S., Slosar, A., Spergel, D., Sridhar, S., Takada, M., Troxel, M. A., Wang, Y., Weinberg, D., Yoshida, N., Zhang, Y., and LSST Dark Energy Science Collaboration [ADS]

2018

Optimizing the LSST Observing Strategy for Dark Energy Science: DESC Recommendations for the Deep Drilling Fields and other Special Programs, Scolnic, D. M., Lochner, M., Gris, P., Regnault, N., Hložek, R., Aldering, G., Allam, T., Awan, H., Biswas, R., Blazek, J., Chang, C., Gawiser, E., Goobar, A., Hook, I. M., Jha, S. W., McEwen, J. D., Mandelbaum, R., Marshall, P., Neilsen, E., Rhodes, J., Rothchild, D., Sevilla Noarbe, I., Slosar, A., and Yoachim, P., arXiv:1812.00516 [ADS]

Optimizing the LSST Observing Strategy for Dark Energy Science: DESC Recommendations for the Wide-Fast-Deep Survey, Lochner, M., Scolnic, D. M., Awan, H., Regnault, N., Gris, P., Mandelbaum, R., Gawiser, E., Almoubayyed, H., Setzer, C. N., Huber, S., Graham, M. L., Hložek, R., Biswas, R., Eifler, T., Rothchild, D., Allam, T., Blazek, J., Chang, C., Collett, T., Goobar, A., Hook, I. M., Jarvis, M., Jha, S. W., Kim, A. G., Marshall, P., McEwen, J. D., Moniez, M., Newman, J. A., Peiris, H. V., Petrushevska, T., Rhodes, J., Sevilla-Noarbe, I., Slosar, A., Suyu, S. H., Tyson, J. A., and Yoachim, P., arXiv:1812.00515 [ADS]

The Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC): Data set, The PLAsTiCC team, Allam, T., Bahmanyar, A., Biswas, R., Dai, M., Galbany, L., Hložek, R., Ishida, E. E. O., Jha, S. W., Jones, D. O., Kessler, R., Lochner, M., Mahabal, A. A., Malz, A. I., Mandel, K. S., Martínez-Galarza, J. R., McEwen, J. D., Muthukrishna, D., Narayan, G., Peiris, H., Peters, C. M., Ponder, K., Setzer, C. N., The LSST Dark Energy Science Collaboration, and the LSST Transients and Variable Stars Science Collaboration, arXiv:1810.00001 [ADS]

The LSST Dark Energy Science Collaboration (DESC) Science Requirements Document, The LSST Dark Energy Science Collaboration, Mandelbaum, R., Eifler, T., Hložek, R., Collett, T., Gawiser, E., Scolnic, D., Alonso, D., Awan, H., Biswas, R., Blazek, J., Burchat, P., Chisari, N. E., Dell’Antonio, I., Digel, S., Frieman, J., Goldstein, D. A., Hook, I., Ivezić, Ž., Kahn, S. M., Kamath, S., Kirkby, D., Kitching, T., Krause, E., Leget, P.-F., Marshall, P. J., Meyers, J., Miyatake, H., Newman, J. A., Nichol, R., Rykoff, E., Sanchez, F. J., Slosar, A., Sullivan, M., and Troxel, M. A., arXiv:1809.01669 [ADS][Zenodo]

2012

Large Synoptic Survey Telescope: Dark Energy Science Collaboration, LSST Dark Energy Science Collaboration, arXiv:1211.0310 [ADS]

PhD Theses by DESC Students

Below are PhD theses written by students in DESC and based at least partially on their work in DESC. The listed entries are self-reported by the authoring students and have been indexed by the ADS (instructions for member students).

2020

Probing Dark Energy with Large Galaxy Surveys: Systematics Quantification & Mitigation, Awan, H. [ADS]

Challenges for Dark Energy Science: Color Gradients and Blended Objects, Kamath, S. [ADS]

Released DESC Data Products

Released products are collected in the following sites.

Also, some DESC publications may release software and/or data products from locations (e.g., GitHub) specified directly in the paper text.