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Mapping and simulating systematics due to spatially-varying observing conditions in DES Science Verification data

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Mapping and simulating systematics due to spatially-varying observing conditions in DES Science Verification data. / Leistedt, B.; Peiris, H. V.; Elsner, F.; Benoit-Lévy, A.; Amara, A.; Bauer, A. H.; Becker, M. R.; Bonnett, C.; Bruderer, C.; Busha, M. T.; Kind, M. Carrasco; Chang, C.; Crocce, M.; Costa, L. N. da; Gaztanaga, E.; Huff, E. M.; Lahav, O.; Palmese, A.; Percival, W. J.; Refregier, A.; Ross, A. J.; Rozo, E.; Rykoff, E. S.; Sánchez, C.; Sadeh, I.; Sevilla-Noarbe, I.; Sobreira, F.; Suchyta, E.; Swanson, M. E. C.; Wechsler, R. H.; Abdalla, F. B.; Allam, S.; Banerji, M.; Bernstein, G. M.; Bernstein, R. A.; Bertin, E.; Bridle, S. L.; Brooks, D.; Buckley-Geer, E.; Burke, D. L.; Capozzi, D.; Rosell, A. Carnero; Carretero, J.; Cunha, C. E.; D'Andrea, C. B.; DePoy, D. L.; Desai, S.; Diehl, H. T.; Doel, P.; Eifler, T. F.; Evrard, A. E.; Neto, A. Fausti; Flaugher, B.; Fosalba, P.; Frieman, J.; Gerdes, D. W.; Gruen, D.; Gruendl, R. A.; Gutierrez, G.; Honscheid, K.; James, D. J.; Jarvis, M.; Kent, S.; Kuehn, K.; Kuropatkin, N.; Li, T. S.; Lima, M.; Maia, M. A. G.; March, M.; Marshall, J. L.; Martini, P.; Melchior, P.; Miller, C. J.; Miquel, R.; Nichol, R. C.; Nord, B.; Ogando, R.; Plazas, A. A.; Reil, K.; Romer, A. K.; Roodman, A.; Sanchez, E.; Santiago, B.; Scarpine, V.; Schubnell, M.; Smith, R. C.; Soares-Santos, M.; Tarle, G.; Thaler, J.; Thomas, D.; Vikram, V.; Walker, A. R.; Wester, W.; Zhang, Y.; Zuntz, J.

In: The Astrophysical Journal Supplement Series, Vol. 226, 24, 17.10.2016.

Research output: Contribution to journalArticle

Harvard

Leistedt, B, Peiris, HV, Elsner, F, Benoit-Lévy, A, Amara, A, Bauer, AH, Becker, MR, Bonnett, C, Bruderer, C, Busha, MT, Kind, MC, Chang, C, Crocce, M, Costa, LND, Gaztanaga, E, Huff, EM, Lahav, O, Palmese, A, Percival, WJ, Refregier, A, Ross, AJ, Rozo, E, Rykoff, ES, Sánchez, C, Sadeh, I, Sevilla-Noarbe, I, Sobreira, F, Suchyta, E, Swanson, MEC, Wechsler, RH, Abdalla, FB, Allam, S, Banerji, M, Bernstein, GM, Bernstein, RA, Bertin, E, Bridle, SL, Brooks, D, Buckley-Geer, E, Burke, DL, Capozzi, D, Rosell, AC, Carretero, J, Cunha, CE, D'Andrea, CB, DePoy, DL, Desai, S, Diehl, HT, Doel, P, Eifler, TF, Evrard, AE, Neto, AF, Flaugher, B, Fosalba, P, Frieman, J, Gerdes, DW, Gruen, D, Gruendl, RA, Gutierrez, G, Honscheid, K, James, DJ, Jarvis, M, Kent, S, Kuehn, K, Kuropatkin, N, Li, TS, Lima, M, Maia, MAG, March, M, Marshall, JL, Martini, P, Melchior, P, Miller, CJ, Miquel, R, Nichol, RC, Nord, B, Ogando, R, Plazas, AA, Reil, K, Romer, AK, Roodman, A, Sanchez, E, Santiago, B, Scarpine, V, Schubnell, M, Smith, RC, Soares-Santos, M, Tarle, G, Thaler, J, Thomas, D, Vikram, V, Walker, AR, Wester, W, Zhang, Y & Zuntz, J 2016, 'Mapping and simulating systematics due to spatially-varying observing conditions in DES Science Verification data', The Astrophysical Journal Supplement Series, vol. 226, 24. https://doi.org/10.3847/0067-0049/226/2/24

APA

Leistedt, B., Peiris, H. V., Elsner, F., Benoit-Lévy, A., Amara, A., Bauer, A. H., Becker, M. R., Bonnett, C., Bruderer, C., Busha, M. T., Kind, M. C., Chang, C., Crocce, M., Costa, L. N. D., Gaztanaga, E., Huff, E. M., Lahav, O., Palmese, A., Percival, W. J., ... Zuntz, J. (2016). Mapping and simulating systematics due to spatially-varying observing conditions in DES Science Verification data. The Astrophysical Journal Supplement Series, 226, [24]. https://doi.org/10.3847/0067-0049/226/2/24

Vancouver

Leistedt B, Peiris HV, Elsner F, Benoit-Lévy A, Amara A, Bauer AH et al. Mapping and simulating systematics due to spatially-varying observing conditions in DES Science Verification data. The Astrophysical Journal Supplement Series. 2016 Oct 17;226. 24. https://doi.org/10.3847/0067-0049/226/2/24

Author

Leistedt, B. ; Peiris, H. V. ; Elsner, F. ; Benoit-Lévy, A. ; Amara, A. ; Bauer, A. H. ; Becker, M. R. ; Bonnett, C. ; Bruderer, C. ; Busha, M. T. ; Kind, M. Carrasco ; Chang, C. ; Crocce, M. ; Costa, L. N. da ; Gaztanaga, E. ; Huff, E. M. ; Lahav, O. ; Palmese, A. ; Percival, W. J. ; Refregier, A. ; Ross, A. J. ; Rozo, E. ; Rykoff, E. S. ; Sánchez, C. ; Sadeh, I. ; Sevilla-Noarbe, I. ; Sobreira, F. ; Suchyta, E. ; Swanson, M. E. C. ; Wechsler, R. H. ; Abdalla, F. B. ; Allam, S. ; Banerji, M. ; Bernstein, G. M. ; Bernstein, R. A. ; Bertin, E. ; Bridle, S. L. ; Brooks, D. ; Buckley-Geer, E. ; Burke, D. L. ; Capozzi, D. ; Rosell, A. Carnero ; Carretero, J. ; Cunha, C. E. ; D'Andrea, C. B. ; DePoy, D. L. ; Desai, S. ; Diehl, H. T. ; Doel, P. ; Eifler, T. F. ; Evrard, A. E. ; Neto, A. Fausti ; Flaugher, B. ; Fosalba, P. ; Frieman, J. ; Gerdes, D. W. ; Gruen, D. ; Gruendl, R. A. ; Gutierrez, G. ; Honscheid, K. ; James, D. J. ; Jarvis, M. ; Kent, S. ; Kuehn, K. ; Kuropatkin, N. ; Li, T. S. ; Lima, M. ; Maia, M. A. G. ; March, M. ; Marshall, J. L. ; Martini, P. ; Melchior, P. ; Miller, C. J. ; Miquel, R. ; Nichol, R. C. ; Nord, B. ; Ogando, R. ; Plazas, A. A. ; Reil, K. ; Romer, A. K. ; Roodman, A. ; Sanchez, E. ; Santiago, B. ; Scarpine, V. ; Schubnell, M. ; Smith, R. C. ; Soares-Santos, M. ; Tarle, G. ; Thaler, J. ; Thomas, D. ; Vikram, V. ; Walker, A. R. ; Wester, W. ; Zhang, Y. ; Zuntz, J. / Mapping and simulating systematics due to spatially-varying observing conditions in DES Science Verification data. In: The Astrophysical Journal Supplement Series. 2016 ; Vol. 226.

Bibtex

@article{4aa194e488ad4403832db5b308d3884e,
title = "Mapping and simulating systematics due to spatially-varying observing conditions in DES Science Verification data",
abstract = "Spatially-varying depth and characteristics of observing conditions, such as seeing, airmass, or sky background, are major sources of systematic uncertainties in modern galaxy survey analyses, in particular in deep multi-epoch surveys. We present a framework to extract and project these sources of systematics onto the sky, and apply it to the Dark Energy Survey (DES) to map the observing conditions of the Science Verification (SV) data. The resulting distributions and maps of sources of systematics are used in several analyses of DES SV to perform detailed null tests with the data, and also to incorporate systematics in survey simulations. We illustrate the complementarity of these two approaches by comparing the SV data with the BCC-UFig, a synthetic sky catalogue generated by forward-modelling of the DES SV images. We analyse the BCC-UFig simulation to construct galaxy samples mimicking those used in SV galaxy clustering studies. We show that the spatially-varying survey depth imprinted in the observed galaxy densities and the redshift distributions of the SV data are successfully reproduced by the simulation and well-captured by the maps of observing conditions. The combined use of the maps, the SV data and the BCC-UFig simulation allows us to quantify the impact of spatial systematics on $N(z)$, the redshift distributions inferred using photometric redshifts. We conclude that spatial systematics in the SV data are mainly due to seeing fluctuations and are under control in current clustering and weak lensing analyses. The framework presented here is relevant to all multi-epoch surveys, and will be essential for exploiting future surveys such as the Large Synoptic Survey Telescope (LSST), which will require detailed null-tests and realistic end-to-end image simulations to correctly interpret the deep, high-cadence observations of the sky.",
keywords = "astro-ph.CO, precision cosmology, galaxy surveys, spatial systematics, image simulations, RCUK, STFC",
author = "B. Leistedt and Peiris, {H. V.} and F. Elsner and A. Benoit-L{\'e}vy and A. Amara and Bauer, {A. H.} and Becker, {M. R.} and C. Bonnett and C. Bruderer and Busha, {M. T.} and Kind, {M. Carrasco} and C. Chang and M. Crocce and Costa, {L. N. da} and E. Gaztanaga and Huff, {E. M.} and O. Lahav and A. Palmese and Percival, {W. J.} and A. Refregier and Ross, {A. J.} and E. Rozo and Rykoff, {E. S.} and C. S{\'a}nchez and I. Sadeh and I. Sevilla-Noarbe and F. Sobreira and E. Suchyta and Swanson, {M. E. C.} and Wechsler, {R. H.} and Abdalla, {F. B.} and S. Allam and M. Banerji and Bernstein, {G. M.} and Bernstein, {R. A.} and E. Bertin and Bridle, {S. L.} and D. Brooks and E. Buckley-Geer and Burke, {D. L.} and D. Capozzi and Rosell, {A. Carnero} and J. Carretero and Cunha, {C. E.} and D'Andrea, {C. B.} and DePoy, {D. L.} and S. Desai and Diehl, {H. T.} and P. Doel and Eifler, {T. F.} and Evrard, {A. E.} and Neto, {A. Fausti} and B. Flaugher and P. Fosalba and J. Frieman and Gerdes, {D. W.} and D. Gruen and Gruendl, {R. A.} and G. Gutierrez and K. Honscheid and James, {D. J.} and M. Jarvis and S. Kent and K. Kuehn and N. Kuropatkin and Li, {T. S.} and M. Lima and Maia, {M. A. G.} and M. March and Marshall, {J. L.} and P. Martini and P. Melchior and Miller, {C. J.} and R. Miquel and Nichol, {R. C.} and B. Nord and R. Ogando and Plazas, {A. A.} and K. Reil and Romer, {A. K.} and A. Roodman and E. Sanchez and B. Santiago and V. Scarpine and M. Schubnell and Smith, {R. C.} and M. Soares-Santos and G. Tarle and J. Thaler and D. Thomas and V. Vikram and Walker, {A. R.} and W. Wester and Y. Zhang and J. Zuntz",
note = "13 pages, 12 figures",
year = "2016",
month = oct,
day = "17",
doi = "10.3847/0067-0049/226/2/24",
language = "English",
volume = "226",
journal = "The Astrophysical Journal Supplement Series",
issn = "0067-0049",
publisher = "IOP Publishing",

}

RIS

TY - JOUR

T1 - Mapping and simulating systematics due to spatially-varying observing conditions in DES Science Verification data

AU - Leistedt, B.

AU - Peiris, H. V.

AU - Elsner, F.

AU - Benoit-Lévy, A.

AU - Amara, A.

AU - Bauer, A. H.

AU - Becker, M. R.

AU - Bonnett, C.

AU - Bruderer, C.

AU - Busha, M. T.

AU - Kind, M. Carrasco

AU - Chang, C.

AU - Crocce, M.

AU - Costa, L. N. da

AU - Gaztanaga, E.

AU - Huff, E. M.

AU - Lahav, O.

AU - Palmese, A.

AU - Percival, W. J.

AU - Refregier, A.

AU - Ross, A. J.

AU - Rozo, E.

AU - Rykoff, E. S.

AU - Sánchez, C.

AU - Sadeh, I.

AU - Sevilla-Noarbe, I.

AU - Sobreira, F.

AU - Suchyta, E.

AU - Swanson, M. E. C.

AU - Wechsler, R. H.

AU - Abdalla, F. B.

AU - Allam, S.

AU - Banerji, M.

AU - Bernstein, G. M.

AU - Bernstein, R. A.

AU - Bertin, E.

AU - Bridle, S. L.

AU - Brooks, D.

AU - Buckley-Geer, E.

AU - Burke, D. L.

AU - Capozzi, D.

AU - Rosell, A. Carnero

AU - Carretero, J.

AU - Cunha, C. E.

AU - D'Andrea, C. B.

AU - DePoy, D. L.

AU - Desai, S.

AU - Diehl, H. T.

AU - Doel, P.

AU - Eifler, T. F.

AU - Evrard, A. E.

AU - Neto, A. Fausti

AU - Flaugher, B.

AU - Fosalba, P.

AU - Frieman, J.

AU - Gerdes, D. W.

AU - Gruen, D.

AU - Gruendl, R. A.

AU - Gutierrez, G.

AU - Honscheid, K.

AU - James, D. J.

AU - Jarvis, M.

AU - Kent, S.

AU - Kuehn, K.

AU - Kuropatkin, N.

AU - Li, T. S.

AU - Lima, M.

AU - Maia, M. A. G.

AU - March, M.

AU - Marshall, J. L.

AU - Martini, P.

AU - Melchior, P.

AU - Miller, C. J.

AU - Miquel, R.

AU - Nichol, R. C.

AU - Nord, B.

AU - Ogando, R.

AU - Plazas, A. A.

AU - Reil, K.

AU - Romer, A. K.

AU - Roodman, A.

AU - Sanchez, E.

AU - Santiago, B.

AU - Scarpine, V.

AU - Schubnell, M.

AU - Smith, R. C.

AU - Soares-Santos, M.

AU - Tarle, G.

AU - Thaler, J.

AU - Thomas, D.

AU - Vikram, V.

AU - Walker, A. R.

AU - Wester, W.

AU - Zhang, Y.

AU - Zuntz, J.

N1 - 13 pages, 12 figures

PY - 2016/10/17

Y1 - 2016/10/17

N2 - Spatially-varying depth and characteristics of observing conditions, such as seeing, airmass, or sky background, are major sources of systematic uncertainties in modern galaxy survey analyses, in particular in deep multi-epoch surveys. We present a framework to extract and project these sources of systematics onto the sky, and apply it to the Dark Energy Survey (DES) to map the observing conditions of the Science Verification (SV) data. The resulting distributions and maps of sources of systematics are used in several analyses of DES SV to perform detailed null tests with the data, and also to incorporate systematics in survey simulations. We illustrate the complementarity of these two approaches by comparing the SV data with the BCC-UFig, a synthetic sky catalogue generated by forward-modelling of the DES SV images. We analyse the BCC-UFig simulation to construct galaxy samples mimicking those used in SV galaxy clustering studies. We show that the spatially-varying survey depth imprinted in the observed galaxy densities and the redshift distributions of the SV data are successfully reproduced by the simulation and well-captured by the maps of observing conditions. The combined use of the maps, the SV data and the BCC-UFig simulation allows us to quantify the impact of spatial systematics on $N(z)$, the redshift distributions inferred using photometric redshifts. We conclude that spatial systematics in the SV data are mainly due to seeing fluctuations and are under control in current clustering and weak lensing analyses. The framework presented here is relevant to all multi-epoch surveys, and will be essential for exploiting future surveys such as the Large Synoptic Survey Telescope (LSST), which will require detailed null-tests and realistic end-to-end image simulations to correctly interpret the deep, high-cadence observations of the sky.

AB - Spatially-varying depth and characteristics of observing conditions, such as seeing, airmass, or sky background, are major sources of systematic uncertainties in modern galaxy survey analyses, in particular in deep multi-epoch surveys. We present a framework to extract and project these sources of systematics onto the sky, and apply it to the Dark Energy Survey (DES) to map the observing conditions of the Science Verification (SV) data. The resulting distributions and maps of sources of systematics are used in several analyses of DES SV to perform detailed null tests with the data, and also to incorporate systematics in survey simulations. We illustrate the complementarity of these two approaches by comparing the SV data with the BCC-UFig, a synthetic sky catalogue generated by forward-modelling of the DES SV images. We analyse the BCC-UFig simulation to construct galaxy samples mimicking those used in SV galaxy clustering studies. We show that the spatially-varying survey depth imprinted in the observed galaxy densities and the redshift distributions of the SV data are successfully reproduced by the simulation and well-captured by the maps of observing conditions. The combined use of the maps, the SV data and the BCC-UFig simulation allows us to quantify the impact of spatial systematics on $N(z)$, the redshift distributions inferred using photometric redshifts. We conclude that spatial systematics in the SV data are mainly due to seeing fluctuations and are under control in current clustering and weak lensing analyses. The framework presented here is relevant to all multi-epoch surveys, and will be essential for exploiting future surveys such as the Large Synoptic Survey Telescope (LSST), which will require detailed null-tests and realistic end-to-end image simulations to correctly interpret the deep, high-cadence observations of the sky.

KW - astro-ph.CO

KW - precision cosmology

KW - galaxy surveys

KW - spatial systematics

KW - image simulations

KW - RCUK

KW - STFC

U2 - 10.3847/0067-0049/226/2/24

DO - 10.3847/0067-0049/226/2/24

M3 - Article

VL - 226

JO - The Astrophysical Journal Supplement Series

JF - The Astrophysical Journal Supplement Series

SN - 0067-0049

M1 - 24

ER -

ID: 3877575