%0 Generic %1 jarvis2020energy %A Jarvis, M. %A Bernstein, G. M. %A Amon, A. %A Davis, C. %A Léget, P. F. %A Bechtol, K. %A Harrison, I. %A Gatti, M. %A Roodman, A. %A Chang, C. %A Chen, R. %A Choi, A. %A Desai, S. %A Drlica-Wagner, A. %A Gruen, D. %A Gruendl, R. A. %A Hernandez, A. %A MacCrann, N. %A Meyers, J. %A Navarro-Alsina, A. %A Pandey, S. %A Plazas, A. A. %A Secco, L. F. %A Sheldon, E. %A Troxel, M. A. %A Vorperian, S. %A Wei, K. %A Zuntz, J. %A Abbott, T. M. C. %A Aguena, M. %A Allam, S. %A Avila, S. %A Bhargava, S. %A Bridle, S. L. %A Brooks, D. %A Rosell, A. Carnero %A Kind, M. Carrasco %A Carretero, J. %A Costanzi, M. %A da Costa, L. N. %A De Vicente, J. %A Diehl, H. T. %A Doel, P. %A Everett, S. %A Flaugher, B. %A Fosalba, P. %A Frieman, J. %A García-Bellido, J. %A Gaztanaga, E. %A Gerdes, D. W. %A Gutierrez, G. %A Hinton, S. R. %A Hollowood, D. L. %A Honscheid, K. %A James, D. J. %A Kent, S. %A Kuehn, K. %A Kuropatkin, N. %A Lahav, O. %A Maia, M. A. G. %A March, M. %A Marshall, J. L. %A Melchior, P. %A Menanteau, F. %A Miquel, R. %A Ogando, R. L. C. %A Paz-Chinchón, F. %A Rykoff, E. S. %A Sanchez, E. %A Scarpine, V. %A Schubnell, M. %A Serrano, S. %A Sevilla-Noarbe, I. %A Smith, M. %A Suchyta, E. %A Swanson, M. E. C. %A Tarle, G. %A Varga, T. N. %A Walker, A. R. %A Wester, W. %A Wilkinson, R. D. %A Collaboration, DES %D 2020 %K library %T Dark Energy Survey Year 3 Results: Point-Spread Function Modeling %U http://arxiv.org/abs/2011.03409 %X We introduce a new software package for modeling the point-spread function (PSF) of astronomical images, called Piff (PSFs In the Full FOV), which we apply to the first three years (known as Y3) of the Dark Energy Survey (DES) data. We describe the relevant details about the algorithms used by Piff to model the PSF, including how the PSF model varies across the field of view (FOV). Diagnostic results show that the systematic errors from the PSF modeling are very small over the range of scales that are important for the DES Y3 weak lensing analysis. In particular, the systematic errors from the PSF modeling are significantly smaller than the corresponding results from the DES year one (Y1) analysis. We also briefly describe some planned improvements to Piff that we expect to further reduce the modeling errors in future analyses.

@misc{jarvis2020energy, abstract = {We introduce a new software package for modeling the point-spread function (PSF) of astronomical images, called Piff (PSFs In the Full FOV), which we apply to the first three years (known as Y3) of the Dark Energy Survey (DES) data. We describe the relevant details about the algorithms used by Piff to model the PSF, including how the PSF model varies across the field of view (FOV). Diagnostic results show that the systematic errors from the PSF modeling are very small over the range of scales that are important for the DES Y3 weak lensing analysis. In particular, the systematic errors from the PSF modeling are significantly smaller than the corresponding results from the DES year one (Y1) analysis. We also briefly describe some planned improvements to Piff that we expect to further reduce the modeling errors in future analyses.}, added-at = {2020-11-09T07:50:03.000+0100}, author = {Jarvis, M. and Bernstein, G. M. and Amon, A. and Davis, C. and Léget, P. F. and Bechtol, K. and Harrison, I. and Gatti, M. and Roodman, A. and Chang, C. and Chen, R. and Choi, A. and Desai, S. and Drlica-Wagner, A. and Gruen, D. and Gruendl, R. A. and Hernandez, A. and MacCrann, N. and Meyers, J. and Navarro-Alsina, A. and Pandey, S. and Plazas, A. A. and Secco, L. F. and Sheldon, E. and Troxel, M. A. and Vorperian, S. and Wei, K. and Zuntz, J. and Abbott, T. M. C. and Aguena, M. and Allam, S. and Avila, S. and Bhargava, S. and Bridle, S. L. and Brooks, D. and Rosell, A. Carnero and Kind, M. Carrasco and Carretero, J. and Costanzi, M. and da Costa, L. N. and De Vicente, J. and Diehl, H. T. and Doel, P. and Everett, S. and Flaugher, B. and Fosalba, P. and Frieman, J. and García-Bellido, J. and Gaztanaga, E. and Gerdes, D. W. and Gutierrez, G. and Hinton, S. R. and Hollowood, D. L. and Honscheid, K. and James, D. J. and Kent, S. and Kuehn, K. and Kuropatkin, N. and Lahav, O. and Maia, M. A. G. and March, M. and Marshall, J. L. and Melchior, P. and Menanteau, F. and Miquel, R. and Ogando, R. L. C. and Paz-Chinchón, F. and Rykoff, E. S. and Sanchez, E. and Scarpine, V. and Schubnell, M. and Serrano, S. and Sevilla-Noarbe, I. and Smith, M. and Suchyta, E. and Swanson, M. E. C. and Tarle, G. and Varga, T. N. and Walker, A. R. and Wester, W. and Wilkinson, R. D. and Collaboration, DES}, biburl = {https://www.bibsonomy.org/bibtex/21b08a274f21fa7ca6db12b895ed678d4/gpkulkarni}, description = {Dark Energy Survey Year 3 Results: Point-Spread Function Modeling}, interhash = {091723d7cb8e79e2bf0e14610b53cce5}, intrahash = {1b08a274f21fa7ca6db12b895ed678d4}, keywords = {library}, note = {cite arxiv:2011.03409Comment: 19 pages, submitted to MNRAS. See https://www.darkenergysurvey.org/des-year-3-cosmology-results-papers/ for the full DES Y3 cosmology release}, timestamp = {2020-11-09T07:50:03.000+0100}, title = {Dark Energy Survey Year 3 Results: Point-Spread Function Modeling}, url = {http://arxiv.org/abs/2011.03409}, year = 2020 }