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Cross-correlation redshift calibration without spectroscopic calibration samples in DES Science Verification Data

Cross-correlation redshift calibration without spectroscopic calibration samples in DES Science Verification Data
Cross-correlation redshift calibration without spectroscopic calibration samples in DES Science Verification Data

Galaxy cross-correlations with high-fidelity redshift samples hold the potential to precisely calibrate systematic photometric redshift uncertainties arising from the unavailability of complete and representative training and validation samples of galaxies. However, application of this technique in the Dark Energy Survey (DES) is hampered by the relatively low number density, small area, and modest redshift overlap between photometric and spectroscopic samples. We propose instead using photometric catalogues with reliable photometric redshifts for photo-z calibration via cross-correlations. We verify the viability of our proposal using redMaPPer clusters from the Sloan Digital Sky Survey (SDSS) to successfully recover the redshift distribution of SDSS spectroscopic galaxies.We demonstrate how to combine photo-z with cross-correlation data to calibrate photometric redshift biases while marginalizing over possible clustering bias evolution in either the calibration or unknown photometric samples. We apply our method to DES Science Verification (DES SV) data in order to constrain the photometric redshift distribution of a galaxy sample selected for weak lensing studies, constraining the mean of the tomographic redshift distributions to a statistical uncertainty of Δz ~ ±0.01. We forecast that our proposal can, in principle, control photometric redshift uncertainties in DES weak lensing experiments at a level near the intrinsic statistical noise of the experiment over the range of redshifts where redMaPPer clusters are available. Our results provide strong motivation to launch a programme to fully characterize the systematic errors from bias evolution and photo-z shapes in our calibration procedure.

Galaxies: Clusters: General, Galaxies: Distances and redshifts
0035-8711
2196-2208
Davis, C.
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Rozo, E.
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Roodman, A.
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Alarcon, A.
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Cawthon, R.
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Gatti, M.
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Lin, H.
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Miquel, R.
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Rykoff, E. S.
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Troxel, M. A.
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Vielzeuf, P.
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Abbott, T. M.C.
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Abdalla, F. B.
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Allam, S.
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Annis, J.
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Bechtol, K.
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Benoit-Lévy, A.
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Bertin, E.
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Brooks, D.
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Burke, D. L.
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Carnero Rosell, A.
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Kind, M. Carrasco
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Carretero, J.
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Castander, F. J.
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Crocce, M.
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Cunha, C. E.
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D'Andrea, C. B.
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da Costa, L. N.
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Desai, S.
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Diehl, H. T.
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Doel, P.
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Drlica-Wagner, A.
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Fausti Neto, A.
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Flaugher, B.
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Fosalba, P.
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Frieman, J.
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Garćia-Bellido, J.
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Gaztanaga, E.
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Gerdes, D. W.
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Giannantonio, T.
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Gruen, D.
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Gruendl, R. A.
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Gutierrez, G.
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Honscheid, K.
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Jain, B.
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James, D. J.
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Jeltema, T.
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Smith, M.
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Thomas, D.
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DES Collaboration
Davis, C.
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Rozo, E.
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Roodman, A.
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Alarcon, A.
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Cawthon, R.
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Gatti, M.
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Lin, H.
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Miquel, R.
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Rykoff, E. S.
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Troxel, M. A.
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Vielzeuf, P.
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Abbott, T. M.C.
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Abdalla, F. B.
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Allam, S.
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Annis, J.
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Bechtol, K.
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Benoit-Lévy, A.
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Bertin, E.
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Brooks, D.
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Buckley-Geer, E.
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Burke, D. L.
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Carnero Rosell, A.
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Kind, M. Carrasco
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Carretero, J.
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Castander, F. J.
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Crocce, M.
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Cunha, C. E.
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D'Andrea, C. B.
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da Costa, L. N.
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Desai, S.
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Diehl, H. T.
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Doel, P.
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Drlica-Wagner, A.
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Fausti Neto, A.
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Flaugher, B.
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Fosalba, P.
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Frieman, J.
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Garćia-Bellido, J.
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Gaztanaga, E.
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Gerdes, D. W.
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Giannantonio, T.
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Gruen, D.
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Gruendl, R. A.
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Gutierrez, G.
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Honscheid, K.
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Jain, B.
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James, D. J.
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Jeltema, T.
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Smith, M.
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Thomas, D.
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Davis, C., Rozo, E., Roodman, A., Alarcon, A., Cawthon, R., Gatti, M., Lin, H., Miquel, R., Rykoff, E. S., Troxel, M. A., Vielzeuf, P., Abbott, T. M.C., Abdalla, F. B., Allam, S., Annis, J., Bechtol, K., Benoit-Lévy, A., Bertin, E., Brooks, D., Buckley-Geer, E., Burke, D. L., Carnero Rosell, A., Kind, M. Carrasco, Carretero, J., Castander, F. J., Crocce, M., Cunha, C. E., D'Andrea, C. B., da Costa, L. N., Desai, S., Diehl, H. T., Doel, P., Drlica-Wagner, A., Fausti Neto, A., Flaugher, B., Fosalba, P., Frieman, J., Garćia-Bellido, J., Gaztanaga, E., Gerdes, D. W., Giannantonio, T., Gruen, D., Gruendl, R. A., Gutierrez, G., Honscheid, K., Jain, B., James, D. J., Jeltema, T., Smith, M. and Thomas, D. , DES Collaboration (2018) Cross-correlation redshift calibration without spectroscopic calibration samples in DES Science Verification Data. Monthly Notices of the Royal Astronomical Society, 477 (2), 2196-2208. (doi:10.1093/mnras/sty787).

Record type: Article

Abstract

Galaxy cross-correlations with high-fidelity redshift samples hold the potential to precisely calibrate systematic photometric redshift uncertainties arising from the unavailability of complete and representative training and validation samples of galaxies. However, application of this technique in the Dark Energy Survey (DES) is hampered by the relatively low number density, small area, and modest redshift overlap between photometric and spectroscopic samples. We propose instead using photometric catalogues with reliable photometric redshifts for photo-z calibration via cross-correlations. We verify the viability of our proposal using redMaPPer clusters from the Sloan Digital Sky Survey (SDSS) to successfully recover the redshift distribution of SDSS spectroscopic galaxies.We demonstrate how to combine photo-z with cross-correlation data to calibrate photometric redshift biases while marginalizing over possible clustering bias evolution in either the calibration or unknown photometric samples. We apply our method to DES Science Verification (DES SV) data in order to constrain the photometric redshift distribution of a galaxy sample selected for weak lensing studies, constraining the mean of the tomographic redshift distributions to a statistical uncertainty of Δz ~ ±0.01. We forecast that our proposal can, in principle, control photometric redshift uncertainties in DES weak lensing experiments at a level near the intrinsic statistical noise of the experiment over the range of redshifts where redMaPPer clusters are available. Our results provide strong motivation to launch a programme to fully characterize the systematic errors from bias evolution and photo-z shapes in our calibration procedure.

Full text not available from this repository.

More information

Accepted/In Press date: 22 March 2018
e-pub ahead of print date: 26 March 2018
Published date: 21 June 2018
Keywords: Galaxies: Clusters: General, Galaxies: Distances and redshifts

Identifiers

Local EPrints ID: 423362
URI: https://eprints.soton.ac.uk/id/eprint/423362
ISSN: 0035-8711
PURE UUID: a6dff840-13db-4bf2-9758-7a5bfcdf4534
ORCID for M. Smith: ORCID iD orcid.org/0000-0002-3321-1432

Catalogue record

Date deposited: 20 Sep 2018 16:30
Last modified: 17 May 2019 00:30

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Contributors

Author: C. Davis
Author: E. Rozo
Author: A. Roodman
Author: A. Alarcon
Author: R. Cawthon
Author: M. Gatti
Author: H. Lin
Author: R. Miquel
Author: E. S. Rykoff
Author: M. A. Troxel
Author: P. Vielzeuf
Author: T. M.C. Abbott
Author: F. B. Abdalla
Author: S. Allam
Author: J. Annis
Author: K. Bechtol
Author: A. Benoit-Lévy
Author: E. Bertin
Author: D. Brooks
Author: E. Buckley-Geer
Author: D. L. Burke
Author: A. Carnero Rosell
Author: M. Carrasco Kind
Author: J. Carretero
Author: F. J. Castander
Author: M. Crocce
Author: C. E. Cunha
Author: C. B. D'Andrea
Author: L. N. da Costa
Author: S. Desai
Author: H. T. Diehl
Author: P. Doel
Author: A. Drlica-Wagner
Author: A. Fausti Neto
Author: B. Flaugher
Author: P. Fosalba
Author: J. Frieman
Author: J. Garćia-Bellido
Author: E. Gaztanaga
Author: D. W. Gerdes
Author: T. Giannantonio
Author: D. Gruen
Author: R. A. Gruendl
Author: G. Gutierrez
Author: K. Honscheid
Author: B. Jain
Author: D. J. James
Author: T. Jeltema
Author: M. Smith ORCID iD
Author: D. Thomas

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