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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 then 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 ofmore » 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. However, they will need to be carefully characterised in upcoming phases of DES in order to avoid biasing the inferred cosmological results. The framework presented is relevant to all multi-epoch surveys, and will be essential for exploiting future surveys such as the Large Synoptic Survey Telescope, which will require detailed null-tests and realistic end-to-end image simulations to correctly interpret the deep, high-cadence observations of the sky.« less

Authors:
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Publication Date:
Research Org.:
SLAC National Accelerator Lab., Menlo Park, CA (United States); Argonne National Lab. (ANL), Argonne, IL (United States); Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
Sponsoring Org.:
USDOE Office of Science (SC), High Energy Physics (HEP)
Contributing Org.:
DES Collaboration; DES
OSTI Identifier:
1348239
Alternate Identifier(s):
OSTI ID: 1223239
Report Number(s):
FERMILAB-PUB-15-310-A-AE; arXiv:1507.05647
Journal ID: ISSN 1538-4365; TRN: US1701511
Grant/Contract Number:  
AC02-76SF00515; AC02-07CH11359
Resource Type:
Accepted Manuscript
Journal Name:
The Astrophysical Journal. Supplement Series (Online)
Additional Journal Information:
Journal Name: The Astrophysical Journal. Supplement Series (Online); Journal Volume: 226; Journal Issue: 2; Journal ID: ISSN 1538-4365
Publisher:
American Astronomical Society/IOP
Country of Publication:
United States
Language:
English
Subject:
79 ASTRONOMY AND ASTROPHYSICS; cosmology: observations; galaxies: distances and redshifts; galaxies: statistics; large-scale structure of universe; precision cosmology; galaxy surveys; spatial systematics; image simulations

Citation Formats

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., da Costa, L. N., 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., and Zuntz, J. Mapping and simulating systematics due to spatially varying observing conditions in DES science verification data. United States: N. p., 2016. Web. doi:10.3847/0067-0049/226/2/24.
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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., da Costa, L. N., 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. United States. https://doi.org/10.3847/0067-0049/226/2/24
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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., da Costa, L. N., 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., and Zuntz, J. Mon . "Mapping and simulating systematics due to spatially varying observing conditions in DES science verification data". United States. https://doi.org/10.3847/0067-0049/226/2/24. https://www.osti.gov/servlets/purl/1348239.
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@article{osti_1348239,
title = {Mapping and simulating systematics due to spatially varying observing conditions in DES science verification data},
author = {Leistedt, B. and Peiris, H. V. and Elsner, F. and Benoit-Lévy, A. and Amara, A. and Bauer, A. H. and Becker, M. R. and Bonnett, C. and Bruderer, C. and Busha, M. T. and Kind, M. Carrasco and Chang, C. and Crocce, M. and da Costa, L. N. and Gaztanaga, E. and Huff, E. M. and Lahav, O. and Palmese, A. and Percival, W. J. and Refregier, A. and Ross, A. J. and Rozo, E. and Rykoff, E. S. and Sánchez, C. and Sadeh, I. and Sevilla-Noarbe, I. and Sobreira, F. and Suchyta, E. and Swanson, M. E. C. and Wechsler, R. H. and Abdalla, F. B. and Allam, S. and Banerji, M. and Bernstein, G. M. and Bernstein, R. A. and Bertin, E. and Bridle, S. L. and Brooks, D. and Buckley-Geer, E. and Burke, D. L. and Capozzi, D. and Rosell, A. Carnero and Carretero, J. and Cunha, C. E. and D’Andrea, C. B. and DePoy, D. L. and Desai, S. and Diehl, H. T. and Doel, P. and Eifler, T. F. and Evrard, A. E. and Neto, A. Fausti and Flaugher, B. and Fosalba, P. and Frieman, J. and Gerdes, D. W. and Gruen, D. and Gruendl, R. A. and Gutierrez, G. and Honscheid, K. and James, D. J. and Jarvis, M. and Kent, S. and Kuehn, K. and Kuropatkin, N. and Li, T. S. and Lima, M. and Maia, M. A. G. and March, M. and Marshall, J. L. and Martini, P. and Melchior, P. and Miller, C. J. and Miquel, R. and Nichol, R. C. and Nord, B. and Ogando, R. and Plazas, A. A. and Reil, K. and Romer, A. K. and Roodman, A. and Sanchez, E. and Santiago, B. and Scarpine, V. and Schubnell, M. and Smith, R. C. and Soares-Santos, M. and Tarle, G. and Thaler, J. and Thomas, D. and Vikram, V. and Walker, A. R. and Wester, W. and Zhang, Y. and Zuntz, J.},
abstractNote = {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 then 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. However, they will need to be carefully characterised in upcoming phases of DES in order to avoid biasing the inferred cosmological results. The framework presented is relevant to all multi-epoch surveys, and will be essential for exploiting future surveys such as the Large Synoptic Survey Telescope, which will require detailed null-tests and realistic end-to-end image simulations to correctly interpret the deep, high-cadence observations of the sky.},
doi = {10.3847/0067-0049/226/2/24},
journal = {The Astrophysical Journal. Supplement Series (Online)},
number = 2,
volume = 226,
place = {United States},
year = {Mon Oct 17 00:00:00 EDT 2016},
month = {Mon Oct 17 00:00:00 EDT 2016}
}
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