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Reducing Ground-based Astrometric Errors with Gaia and Gaussian Processes

Fortino, W. F. ; Bernstein, G. M. ; Bernardinelli, P. H. ; Aguena, M. ; Allam, S. ; Annis, J. ; Bacon, D. ; Bechtol, K. ; Bhargava, S. ; Brooks, D. ; Burke, D. L. ; Carretero, J. ; Choi, A. ; Costanzi, M. ; Costa, L. N. da ; Pereira, M. E. S. ; De Vicente, J. ; Desai, S. ; Doel, P. ; Drlica-Wagner, A. ; Eckert, K. ; Eifler, T. F. ; Evrard, A. E. ; Ferrero, I. ; Frieman, J. ; García-Bellido, J. ; Gaztañaga, E. ; Gerdes, D. W. ; Gruendl, R. A. ; Gschwend, J. ; Gutierrez, G. ; Hartley, W. G. ; Hinton, S. R. ; Hollowood, D. L. ; Honscheid, K. ; James, D. J. ; Jarvis, M. ; Kent, S. ; Kuehn, K. ; Kuropatkin, N. ; Maia, M. A. G. ; Marshall, J. L. ; Menanteau, F. ; Miquel, R. ; Morgan, R. ; Myles, J. ; Ogando, R. L. C. ; Palmese, A. ; Paz-Chinchón, F. ; Plazas, A. A. ; Roodman, A. ; Rykoff, E. S. ; Sanchez, E. ; Santiago, B. ; Scarpine, V. ; Schubnell, M. ; Serrano, S. ; Sevilla-Noarbe, I. ; Smith, M. ; Suchyta, E. ; Tarle, G. ; To, C. ; Tucker, D. L. ; Varga, T. N. ; Walker, A. R. ; Weller, J. ; Wester, W.

The Astronomical journal, 2021-09, Vol.162 (3), p.106 [Periódico revisado por pares]

Madison: The American Astronomical Society

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Título:
Reducing Ground-based Astrometric Errors with Gaia and Gaussian Processes
Autor: Fortino, W. F. ; Bernstein, G. M. ; Bernardinelli, P. H. ; Aguena, M. ; Allam, S. ; Annis, J. ; Bacon, D. ; Bechtol, K. ; Bhargava, S. ; Brooks, D. ; Burke, D. L. ; Carretero, J. ; Choi, A. ; Costanzi, M. ; Costa, L. N. da ; Pereira, M. E. S. ; De Vicente, J. ; Desai, S. ; Doel, P. ; Drlica-Wagner, A. ; Eckert, K. ; Eifler, T. F. ; Evrard, A. E. ; Ferrero, I. ; Frieman, J. ; García-Bellido, J. ; Gaztañaga, E. ; Gerdes, D. W. ; Gruendl, R. A. ; Gschwend, J. ; Gutierrez, G. ; Hartley, W. G. ; Hinton, S. R. ; Hollowood, D. L. ; Honscheid, K. ; James, D. J. ; Jarvis, M. ; Kent, S. ; Kuehn, K. ; Kuropatkin, N. ; Maia, M. A. G. ; Marshall, J. L. ; Menanteau, F. ; Miquel, R. ; Morgan, R. ; Myles, J. ; Ogando, R. L. C. ; Palmese, A. ; Paz-Chinchón, F. ; Plazas, A. A. ; Roodman, A. ; Rykoff, E. S. ; Sanchez, E. ; Santiago, B. ; Scarpine, V. ; Schubnell, M. ; Serrano, S. ; Sevilla-Noarbe, I. ; Smith, M. ; Suchyta, E. ; Tarle, G. ; To, C. ; Tucker, D. L. ; Varga, T. N. ; Walker, A. R. ; Weller, J. ; Wester, W.
Assuntos: Astrometry ; Astronomy ; Astronomy data analysis ; Atmospheric turbulence ; Dark energy ; Distortion ; Eris (dwarf planet) ; Exposure ; Gaussian process ; INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY ; Sky noise ; Sky surveys (astronomy) ; Trans-Neptunian objects
É parte de: The Astronomical journal, 2021-09, Vol.162 (3), p.106
Notas: AAS28252
Laboratory Astrophysics, Instrumentation, Software, and Data
USDOE Office of Science (SC), High Energy Physics (HEP)
European Union (EU)
CNPq
ERC
AC02-07CH11359; AST-1515804; AST-1615555; AST-2009210; SC0007901; AST-1138766; AST-1536171; ESP207-89838; PGC2018-094773; PGC2018-102021; SEV-2016-0588; SEV-2016-0597; MDM-20150509; 240672; 291329; 306478; 465376/2014-2; SC0019193
National Science Foundation (NSF)
MICINN
FERMILAB-PUB-20-555-AE; arXiv:2010.13742
Descrição: Abstract Stochastic field distortions caused by atmospheric turbulence are a fundamental limitation to the astrometric accuracy of ground-based imaging. This distortion field is measurable at the locations of stars with accurate positions provided by the Gaia DR2 catalog; we develop the use of Gaussian process regression (GPR) to interpolate the distortion field to arbitrary locations in each exposure. We introduce an extension to standard GPR techniques that exploits the knowledge that the 2D distortion field is curl-free. Applied to several hundred 90 s exposures from the Dark Energy Survey as a test bed, we find that the GPR correction reduces the variance of the turbulent astrometric distortions ≈12× , on average, with better performance in denser regions of the Gaia catalog. The rms per-coordinate distortion in the riz bands is typically ≈7 mas before any correction and ≈2 mas after application of the GPR model. The GPR astrometric corrections are validated by the observation that their use reduces, from 10 to 5 mas rms, the residuals to an orbit fit to riz -band observations over 5 yr of the r = 18.5 trans-Neptunian object Eris. We also propose a GPR method, not yet implemented, for simultaneously estimating the turbulence fields and the 5D stellar solutions in a stack of overlapping exposures, which should yield further turbulence reductions in future deep surveys.
Editor: Madison: The American Astronomical Society
Idioma: Inglês

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Reducing Ground-based Astrometric Errors with Gaia and Gaussian Processes

Madison: The American Astronomical Society

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