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Title: Combining Dark Energy Survey Science Verification data with near-infrared data from the ESO VISTA Hemisphere Survey

Abstract

We present the combination of optical data from the Science Verification phase of the Dark Energy Survey (DES) with near-infrared (NIR) data from the European Southern Observatory VISTA Hemisphere Survey (VHS). The deep optical detections from DES are used to extract fluxes and associated errors from the shallower VHS data. Joint seven-band (grizYJK) photometric catalogues are produced in a single 3 sq-deg dedicated camera field centred at 02h26m-04d36m where the availability of ancillary multiwavelength photometry and spectroscopy allows us to test the data quality. Dual photometry increases the number of DES galaxies with measured VHS fluxes by a factor of similar to 4.5 relative to a simple catalogue level matching and results in a similar to 1.5 mag increase in the 80 per cent completeness limit of the NIR data. Almost 70 per cent of DES sources have useful NIR flux measurements in this initial catalogue. Photometric redshifts are estimated for a subset of galaxies with spectroscopic redshifts and initial results, although currently limited by small number statistics, indicate that the VHS data can help reduce the photometric redshift scatter at both z < 0.5 and z > 1. We present example DES VHS colour selection criteria for high-redshift luminousmore » red galaxies (LRGs) at z similar to 0.7 as well as luminous quasars. Using spectroscopic observations in this field we show that the additional VHS fluxes enable a cleaner selection of both populations with <10 per cent contamination from galactic stars in the case of spectroscopically confirmed quasars and <0.5 per cent contamination from galactic stars in the case of spectroscopically confirmed LRGs. The combined DES+VHS data set, which will eventually cover almost 5000 sq-deg, will therefore enable a range of new science and be ideally suited for target selection for future wide-field spectroscopic surveys.« less

Authors:
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Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
USDOE Office of Science (SC); National Science Foundation (NSF)
OSTI Identifier:
1342907
DOE Contract Number:  
AC02-06CH11357
Resource Type:
Journal Article
Journal Name:
Monthly Notices of the Royal Astronomical Society
Additional Journal Information:
Journal Volume: 446; Journal Issue: 3; Journal ID: ISSN 0035-8711
Publisher:
Royal Astronomical Society
Country of Publication:
United States
Language:
English
Subject:
79 ASTRONOMY AND ASTROPHYSICS; catalogues; galaxies: photometry; surveys; galaxies: distances and redshifts; quasars: general

Citation Formats

Banerji, M., Jouvel, S., Lin, H., McMahon, R. G., Lahav, O., Castander, F. J., Abdalla, F. B., Bertin, E., Bosman, S. E., Carnero, A., Kind, M. C., da Costa, L. N., Gerdes, D., Gschwend, J., Lima, M., Maia, M. A. G., Merson, A., Miller, C., Ogando, R., Pellegrini, P., Reed, S., Saglia, R., Sanchez, C., Allam, S., Annis, J., Bernstein, G., Bernstein, J., Bernstein, R., Capozzi, D., Childress, M., Cunha, C. E., Davis, T. M., DePoy, D. L., Desai, S., Diehl, H. T., Doel, P., Findlay, J., Finley, D. A., Flaugher, B., Frieman, J., Gaztanaga, E., Glazebrook, K., Gonzalez-Fernandez, C., Gonzalez-Solares, E., Honscheid, K., Irwin, M. J., Jarvis, M. J., Kim, A., Koposov, S., Kuehn, K., Kupcu-Yoldas, A., Lagattuta, D., Lewis, J. R., Lidman, C., Makler, M., Marriner, J., Marshall, J. L., Miquel, R., Mohr, J. J., Neilsen, E., Peoples, J., Sako, M., Sanchez, E., Scarpine, V., Schindler, R., Schubnell, M., Sevilla, I., Sharp, R., Soares-Santos, M., Swanson, M. E. C., Tarle, G., Thaler, J., Tucker, D., Uddin, S. A., Wechsler, R., Wester, W., Yuan, F., and Zuntz, J. Combining Dark Energy Survey Science Verification data with near-infrared data from the ESO VISTA Hemisphere Survey. United States: N. p., 2014. Web. doi:10.1093/mnras/stu2261.
Banerji, M., Jouvel, S., Lin, H., McMahon, R. G., Lahav, O., Castander, F. J., Abdalla, F. B., Bertin, E., Bosman, S. E., Carnero, A., Kind, M. C., da Costa, L. N., Gerdes, D., Gschwend, J., Lima, M., Maia, M. A. G., Merson, A., Miller, C., Ogando, R., Pellegrini, P., Reed, S., Saglia, R., Sanchez, C., Allam, S., Annis, J., Bernstein, G., Bernstein, J., Bernstein, R., Capozzi, D., Childress, M., Cunha, C. E., Davis, T. M., DePoy, D. L., Desai, S., Diehl, H. T., Doel, P., Findlay, J., Finley, D. A., Flaugher, B., Frieman, J., Gaztanaga, E., Glazebrook, K., Gonzalez-Fernandez, C., Gonzalez-Solares, E., Honscheid, K., Irwin, M. J., Jarvis, M. J., Kim, A., Koposov, S., Kuehn, K., Kupcu-Yoldas, A., Lagattuta, D., Lewis, J. R., Lidman, C., Makler, M., Marriner, J., Marshall, J. L., Miquel, R., Mohr, J. J., Neilsen, E., Peoples, J., Sako, M., Sanchez, E., Scarpine, V., Schindler, R., Schubnell, M., Sevilla, I., Sharp, R., Soares-Santos, M., Swanson, M. E. C., Tarle, G., Thaler, J., Tucker, D., Uddin, S. A., Wechsler, R., Wester, W., Yuan, F., & Zuntz, J. Combining Dark Energy Survey Science Verification data with near-infrared data from the ESO VISTA Hemisphere Survey. United States. doi:10.1093/mnras/stu2261.
Banerji, M., Jouvel, S., Lin, H., McMahon, R. G., Lahav, O., Castander, F. J., Abdalla, F. B., Bertin, E., Bosman, S. E., Carnero, A., Kind, M. C., da Costa, L. N., Gerdes, D., Gschwend, J., Lima, M., Maia, M. A. G., Merson, A., Miller, C., Ogando, R., Pellegrini, P., Reed, S., Saglia, R., Sanchez, C., Allam, S., Annis, J., Bernstein, G., Bernstein, J., Bernstein, R., Capozzi, D., Childress, M., Cunha, C. E., Davis, T. M., DePoy, D. L., Desai, S., Diehl, H. T., Doel, P., Findlay, J., Finley, D. A., Flaugher, B., Frieman, J., Gaztanaga, E., Glazebrook, K., Gonzalez-Fernandez, C., Gonzalez-Solares, E., Honscheid, K., Irwin, M. J., Jarvis, M. J., Kim, A., Koposov, S., Kuehn, K., Kupcu-Yoldas, A., Lagattuta, D., Lewis, J. R., Lidman, C., Makler, M., Marriner, J., Marshall, J. L., Miquel, R., Mohr, J. J., Neilsen, E., Peoples, J., Sako, M., Sanchez, E., Scarpine, V., Schindler, R., Schubnell, M., Sevilla, I., Sharp, R., Soares-Santos, M., Swanson, M. E. C., Tarle, G., Thaler, J., Tucker, D., Uddin, S. A., Wechsler, R., Wester, W., Yuan, F., and Zuntz, J. Tue . "Combining Dark Energy Survey Science Verification data with near-infrared data from the ESO VISTA Hemisphere Survey". United States. doi:10.1093/mnras/stu2261.
@article{osti_1342907,
title = {Combining Dark Energy Survey Science Verification data with near-infrared data from the ESO VISTA Hemisphere Survey},
author = {Banerji, M. and Jouvel, S. and Lin, H. and McMahon, R. G. and Lahav, O. and Castander, F. J. and Abdalla, F. B. and Bertin, E. and Bosman, S. E. and Carnero, A. and Kind, M. C. and da Costa, L. N. and Gerdes, D. and Gschwend, J. and Lima, M. and Maia, M. A. G. and Merson, A. and Miller, C. and Ogando, R. and Pellegrini, P. and Reed, S. and Saglia, R. and Sanchez, C. and Allam, S. and Annis, J. and Bernstein, G. and Bernstein, J. and Bernstein, R. and Capozzi, D. and Childress, M. and Cunha, C. E. and Davis, T. M. and DePoy, D. L. and Desai, S. and Diehl, H. T. and Doel, P. and Findlay, J. and Finley, D. A. and Flaugher, B. and Frieman, J. and Gaztanaga, E. and Glazebrook, K. and Gonzalez-Fernandez, C. and Gonzalez-Solares, E. and Honscheid, K. and Irwin, M. J. and Jarvis, M. J. and Kim, A. and Koposov, S. and Kuehn, K. and Kupcu-Yoldas, A. and Lagattuta, D. and Lewis, J. R. and Lidman, C. and Makler, M. and Marriner, J. and Marshall, J. L. and Miquel, R. and Mohr, J. J. and Neilsen, E. and Peoples, J. and Sako, M. and Sanchez, E. and Scarpine, V. and Schindler, R. and Schubnell, M. and Sevilla, I. and Sharp, R. and Soares-Santos, M. and Swanson, M. E. C. and Tarle, G. and Thaler, J. and Tucker, D. and Uddin, S. A. and Wechsler, R. and Wester, W. and Yuan, F. and Zuntz, J.},
abstractNote = {We present the combination of optical data from the Science Verification phase of the Dark Energy Survey (DES) with near-infrared (NIR) data from the European Southern Observatory VISTA Hemisphere Survey (VHS). The deep optical detections from DES are used to extract fluxes and associated errors from the shallower VHS data. Joint seven-band (grizYJK) photometric catalogues are produced in a single 3 sq-deg dedicated camera field centred at 02h26m-04d36m where the availability of ancillary multiwavelength photometry and spectroscopy allows us to test the data quality. Dual photometry increases the number of DES galaxies with measured VHS fluxes by a factor of similar to 4.5 relative to a simple catalogue level matching and results in a similar to 1.5 mag increase in the 80 per cent completeness limit of the NIR data. Almost 70 per cent of DES sources have useful NIR flux measurements in this initial catalogue. Photometric redshifts are estimated for a subset of galaxies with spectroscopic redshifts and initial results, although currently limited by small number statistics, indicate that the VHS data can help reduce the photometric redshift scatter at both z < 0.5 and z > 1. We present example DES VHS colour selection criteria for high-redshift luminous red galaxies (LRGs) at z similar to 0.7 as well as luminous quasars. Using spectroscopic observations in this field we show that the additional VHS fluxes enable a cleaner selection of both populations with <10 per cent contamination from galactic stars in the case of spectroscopically confirmed quasars and <0.5 per cent contamination from galactic stars in the case of spectroscopically confirmed LRGs. The combined DES+VHS data set, which will eventually cover almost 5000 sq-deg, will therefore enable a range of new science and be ideally suited for target selection for future wide-field spectroscopic surveys.},
doi = {10.1093/mnras/stu2261},
journal = {Monthly Notices of the Royal Astronomical Society},
issn = {0035-8711},
number = 3,
volume = 446,
place = {United States},
year = {2014},
month = {11}
}

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