Cross-correlation redshift calibration without spectroscopic calibration samples in DES Science Verification Data
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 noisemore »
- Authors:
-
[1];
more »
- Kavli Institute for Particle Astrophysics and Cosmology, PO Box 2450, Stanford University, Stanford, CA 94305, USA
- Department of Physics, University of Arizona, Tucson, AZ 85721, USA
- Kavli Institute for Particle Astrophysics and Cosmology, PO Box 2450, Stanford University, Stanford, CA 94305, USA; SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA
- Institute of Space Sciences, IEEC-CSIC, Campus UAB, Carrer de Can Magrans, s/n, E-08193 Barcelona, Spain
- Kavli Institute for Cosmological Physics, University of Chicago, Chicago, IL 60637, USA
- Institut de Física d'Altes Energies (IFAE), The Barcelona Institute of Science and Technology, Campus UAB, E-08193 Bellaterra (Barcelona), Spain
- Fermi National Accelerator Laboratory, PO Box 500, Batavia, IL 60510, USA
- Institut de Física d'Altes Energies (IFAE), The Barcelona Institute of Science and Technology, Campus UAB, E-08193 Bellaterra (Barcelona), Spain; Institució Catalana de Recerca i Estudis Avançats, E-08010 Barcelona, Spain
- Center for Cosmology and Astro-Particle Physics, The Ohio State University, Columbus, OH 43210, USA; Department of Physics, The Ohio State University, Columbus, OH 43210, USA
- Cerro Tololo Inter-American Observatory, National Optical Astronomy Observatory, Casilla 603, La Serena, Chile
- Department of Physics and Astronomy, University College London, Gower Street, London WC1E 6BT, UK; Department of Physics and Electronics, Rhodes University, PO Box 94, Grahamstown 6140, South Africa
- LSST, 933 North Cherry Avenue, Tucson, AZ 85721, USA
- Department of Physics and Astronomy, University College London, Gower Street, London WC1E 6BT, UK; CNRS, UMR 7095, Institut d'Astrophysique de Paris, F-75014 Paris, France; Sorbonne Universités, UPMC Univ Paris 06, UMR 7095, Institut d'Astrophysique de Paris, F-75014 Paris, France
- CNRS, UMR 7095, Institut d'Astrophysique de Paris, F-75014 Paris, France; Sorbonne Universités, UPMC Univ Paris 06, UMR 7095, Institut d'Astrophysique de Paris, F-75014 Paris, France
- Department of Physics and Astronomy, University College London, Gower Street, London WC1E 6BT, UK
- Laboratório Interinstitucional de e-Astronomia - LIneA, Rua Gal. José Cristino 77, Rio de Janeiro RJ-20921-400, Brazil; Observatório Nacional, Rua Gal. José Cristino 77, Rio de Janeiro RJ-20921-400, Brazil
- Department of Astronomy, University of Illinois, 1002 W. Green Street, Urbana, IL 61801, USA; National Center for Supercomputing Applications, 1205 West Clark St., Urbana, IL 61801, USA
- Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Physics, IIT Hyderabad, Kandi, Telangana 502285, India
- Laboratório Interinstitucional de e-Astronomia - LIneA, Rua Gal. José Cristino 77, Rio de Janeiro RJ-20921-400, Brazil
- Kavli Institute for Cosmological Physics, University of Chicago, Chicago, IL 60637, USA; Fermi National Accelerator Laboratory, PO Box 500, Batavia, IL 60510, USA
- Instituto de Fisica Teorica UAM/CSIC, Universidad Autonoma de Madrid, E-28049 Madrid, Spain
- Department of Astronomy, University of Michigan, Ann Arbor, MI 48109, USA; Department of Physics, University of Michigan, Ann Arbor, MI 48109, USA
- Institute of Astronomy, University of Cambridge, Madingley Road, Cambridge CB3 0HA, UK; Kavli Institute for Cosmology, University of Cambridge, Madingley Road, Cambridge CB3 0HA, UK; Universitäts-Sternwarte, Fakultät für Physik, Ludwig-Maximilians Universität München, Scheinerstr. 1, D-81679 München, Germany
- Astronomy Department, University of Washington, Box 351580, Seattle, WA 98195, USA; Cerro Tololo Inter-American Observatory, National Optical Astronomy Observatory, Casilla 603, La Serena, Chile
- Santa Cruz Institute for Particle Physics, Santa Cruz, CA 95064, USA
- Australian Astronomical Observatory, North Ryde, NSW 2113, Australia
- Argonne National Laboratory, 9700 South Cass Avenue, Lemont, IL 60439, USA
- Laboratório Interinstitucional de e-Astronomia - LIneA, Rua Gal. José Cristino 77, Rio de Janeiro RJ-20921-400, Brazil; Departamento de Física Matemática, Instituto de Física, Universidade de São Paulo, CP 66318, São Paulo, SP 05314-970, Brazil
- George P. and Cynthia Woods Mitchell Institute for Fundamental Physics and Astronomy, and Department of Physics and Astronomy, Texas A&M University, College Station, TX 77843, USA
- Center for Cosmology and Astro-Particle Physics, The Ohio State University, Columbus, OH 43210, USA; Department of Astronomy, The Ohio State University, Columbus, OH 43210, USA
- Department of Astrophysical Sciences, Princeton University, Peyton Hall, Princeton, NJ 08544, USA
- Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Dr., Pasadena, CA 91109, USA
- Department of Physics and Astronomy, Pevensey Building, University of Sussex, Brighton BN1 9QH, UK
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), Av. Complutense 40, 28040 Madrid, Spain
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA
- Department of Physics, University of Michigan, Ann Arbor, MI 48109, USA
- School of Physics and Astronomy, University of Southampton, Southampton SO17 1BJ, UK
- Instituto de Física Gleb Wataghin, Universidade Estadual de Campinas, 13083-859 Campinas, SP, Brazil; Laboratório Interinstitucional de e-Astronomia - LIneA, Rua Gal. José Cristino 77, Rio de Janeiro RJ-20921-400, Brazil
- Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
- National Center for Supercomputing Applications, 1205 West Clark St., Urbana, IL 61801, USA
- Institute of Cosmology and Gravitation, University of Portsmouth, Portsmouth PO1 3FX, UK
- Kavli Institute for Particle Astrophysics and Cosmology, PO Box 2450, Stanford University, Stanford, CA 94305, USA; SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA; Department of Physics, Stanford University, 382 Via Pueblo Mall, Stanford, CA 94305, USA
- Publication Date:
- Research Org.:
- SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States); Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), High Energy Physics (HEP); USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
- Contributing Org.:
- DES Collaboration
- OSTI Identifier:
- 1454415
- Alternate Identifier(s):
- OSTI ID: 1468041
- Report Number(s):
- FERMILAB-PUB-17-284-AE; arXiv:1707.08256
Journal ID: ISSN 0035-8711; 1611648; TRN: US1901011
- Grant/Contract Number:
- AC02-07CH11359; AC05-00OR22725
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Monthly Notices of the Royal Astronomical Society
- Additional Journal Information:
- Journal Volume: 477; Journal Issue: 2; Journal ID: ISSN 0035-8711
- Publisher:
- Royal Astronomical Society
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 79 ASTRONOMY AND ASTROPHYSICS; galaxies: clusters: general; galaxies: distances and redshifts
Citation Formats
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., Carrasco Kind, M., 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., Neto, A. Fausti, Flaugher, B., Fosalba, P., Frieman, J., García-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., Krause, E., Kuehn, K., Kuhlmann, S., Kuropatkin, N., Lahav, O., Li, T. S., Lima, M., March, M., Marshall, J. L., Martini, P., Melchior, P., Ogando, R. L. C., Plazas, A. A., Romer, A. K., Sanchez, E., Scarpine, V., Schindler, R., Schubnell, M., Sevilla-Noarbe, I., Smith, M., Soares-Santos, M., Sobreira, F., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., Vikram, V., Walker, A. R., and Wechsler, R. H. Cross-correlation redshift calibration without spectroscopic calibration samples in DES Science Verification Data. United States: N. p., 2018.
Web. doi:10.1093/mnras/sty787.
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., Carrasco Kind, M., 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., Neto, A. Fausti, Flaugher, B., Fosalba, P., Frieman, J., García-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., Krause, E., Kuehn, K., Kuhlmann, S., Kuropatkin, N., Lahav, O., Li, T. S., Lima, M., March, M., Marshall, J. L., Martini, P., Melchior, P., Ogando, R. L. C., Plazas, A. A., Romer, A. K., Sanchez, E., Scarpine, V., Schindler, R., Schubnell, M., Sevilla-Noarbe, I., Smith, M., Soares-Santos, M., Sobreira, F., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., Vikram, V., Walker, A. R., & Wechsler, R. H. Cross-correlation redshift calibration without spectroscopic calibration samples in DES Science Verification Data. United States. https://doi.org/10.1093/mnras/sty787
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., Carrasco Kind, M., 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., Neto, A. Fausti, Flaugher, B., Fosalba, P., Frieman, J., García-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., Krause, E., Kuehn, K., Kuhlmann, S., Kuropatkin, N., Lahav, O., Li, T. S., Lima, M., March, M., Marshall, J. L., Martini, P., Melchior, P., Ogando, R. L. C., Plazas, A. A., Romer, A. K., Sanchez, E., Scarpine, V., Schindler, R., Schubnell, M., Sevilla-Noarbe, I., Smith, M., Soares-Santos, M., Sobreira, F., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., Vikram, V., Walker, A. R., and Wechsler, R. H. Mon .
"Cross-correlation redshift calibration without spectroscopic calibration samples in DES Science Verification Data". United States. https://doi.org/10.1093/mnras/sty787. https://www.osti.gov/servlets/purl/1454415.
@article{osti_1454415,
title = {Cross-correlation redshift calibration without spectroscopic calibration samples in DES Science Verification Data},
author = {Davis, C. and Rozo, E. and Roodman, A. and Alarcon, A. and Cawthon, R. and Gatti, M. and Lin, H. and Miquel, R. and Rykoff, E. S. and Troxel, M. A. and Vielzeuf, P. and Abbott, T. M. C. and Abdalla, F. B. and Allam, S. and Annis, J. and Bechtol, K. and Benoit-Lévy, A. and Bertin, E. and Brooks, D. and Buckley-Geer, E. and Burke, D. L. and Carnero Rosell, A. and Carrasco Kind, M. and Carretero, J. and Castander, F. J. and Crocce, M. and Cunha, C. E. and D'Andrea, C. B. and da Costa, L. N. and Desai, S. and Diehl, H. T. and Doel, P. and Drlica-Wagner, A. and Neto, A. Fausti and Flaugher, B. and Fosalba, P. and Frieman, J. and García-Bellido, J. and Gaztanaga, E. and Gerdes, D. W. and Giannantonio, T. and Gruen, D. and Gruendl, R. A. and Gutierrez, G. and Honscheid, K. and Jain, B. and James, D. J. and Jeltema, T. and Krause, E. and Kuehn, K. and Kuhlmann, S. and Kuropatkin, N. and Lahav, O. and Li, T. S. and Lima, M. and March, M. and Marshall, J. L. and Martini, P. and Melchior, P. and Ogando, R. L. C. and Plazas, A. A. and Romer, A. K. and Sanchez, E. and Scarpine, V. and Schindler, R. and Schubnell, M. and Sevilla-Noarbe, I. and Smith, M. and Soares-Santos, M. and Sobreira, F. and Suchyta, E. and Swanson, M. E. C. and Tarle, G. and Thomas, D. and Vikram, V. and Walker, A. R. and Wechsler, R. H.},
abstractNote = {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.},
doi = {10.1093/mnras/sty787},
journal = {Monthly Notices of the Royal Astronomical Society},
number = 2,
volume = 477,
place = {United States},
year = {Mon Mar 26 00:00:00 EDT 2018},
month = {Mon Mar 26 00:00:00 EDT 2018}
}
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Figure 1: A comparison of the cross-correlation recovery of the SDSS redshift distribution with their spectroscopic redshifts. The solid line is the actual distribution of galaxies from spectroscopic data. The black points show the recovered SDSS redshift distribution using cross-correlation with a spectroscopic sample of SDSS galaxies as a referencemore »
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Calibrating Redshift Distributions Beyond Spectroscopic Limits with Cross-Correlations
text, January 2008
- Newman, Jeffrey A.
- arXiv
Estimating the Redshift Distribution of Photometric Galaxy Samples II. Applications and Tests of a New Method
text, January 2008
- Cunha, Carlos E.; Lima, Marcos; Oyaizu, Hiroaki
- arXiv
Improving Correlation Function Fitting with Ridge Regression: Application to Cross-Correlation Reconstruction
text, January 2011
- Matthews, Daniel J.; Newman, Jeffrey A.
- arXiv
The Blanco Cosmology Survey: Data Acquisition, Processing, Calibration, Quality Diagnostics and Data Release
text, January 2012
- Desai, S.; Armstrong, R.; Mohr, J. J.
- arXiv
On using angular cross-correlations to determine source redshift distributions
text, January 2013
- McQuinn, Matthew; White, Martin
- arXiv
Recovering Redshift Distributions with Cross-Correlations: Pushing The Boundaries
text, January 2013
- Schmidt, Samuel; Ménard, Brice; Scranton, Ryan
- arXiv
redMaPPer I: Algorithm and SDSS DR8 Catalog
text, January 2013
- Rykoff, E. S.; Rozo, E.; Busha, M. T.
- arXiv
ANNz2 - photometric redshift and probability distribution function estimation using machine learning
text, January 2015
- Sadeh, Iftach; Abdalla, Filipe B.; Lahav, Ofer
- arXiv
redMaGiC: Selecting Luminous Red Galaxies from the DES Science Verification Data
text, January 2015
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- arXiv
The DES Science Verification Weak Lensing Shear Catalogues
text, January 2015
- Jarvis, M.; Sheldon, E.; Zuntz, J.
- arXiv
Exploring the SDSS Photometric Galaxies with Clustering Redshifts
text, January 2015
- Rahman, Mubdi; Mendez, Alexander J.; Ménard, Brice
- arXiv
Galaxy clustering with photometric surveys using PDF redshift information
text, January 2016
- Asorey, J.; Kind, M. Carrasco; Sevilla-Noarbe, I.
- arXiv
Clustering-based redshift estimation: application to VIPERS/CFHTLS
text, January 2016
- Scottez, V.; Mellier, Y.; Granett, B. R.
- arXiv
KiDS-450: Cosmological parameter constraints from tomographic weak gravitational lensing
text, January 2016
- Hildebrandt, H.; Viola, M.; Heymans, C.
- arXiv
The-wiZZ: Clustering redshift estimation for everyone
text, January 2016
- Morrison, Christopher B.; Hildebrandt, Hendrik; Schmidt, Samuel J.
- arXiv
2dFLenS and KiDS: Determining source redshift distributions with cross-correlations
text, January 2016
- Johnson, Andrew; Blake, Chris; Amon, Alexandra
- arXiv
Galaxies in the Hubble Ultra Deep Field: I. Detection, Multiband Photometry, Photometric Redshifts, and Morphology
text, January 2006
- Coe, Dan; Benitez, Narciso; Sanchez, Sebastian F.
- arXiv
Using Galaxy Two-point Correlation Functions to Determine the Redshift Distributions of Galaxies Binned by Photometric Redshift
text, January 2006
- Schneider, M.; Knox, L.; Zhan, H.
- arXiv
Works referencing / citing this record:
KiDS+VIKING-450: Cosmic shear tomography with optical and infrared data
journal, January 2020
- Hildebrandt, H.; Köhlinger, F.; van den Busch, J. L.
- Astronomy & Astrophysics, Vol. 633
Density split statistics: Cosmological constraints from counts and lensing in cells in DES Y1 and SDSS data
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Broadband Intensity Tomography: Spectral Tagging of the Cosmic UV Background
journal, June 2019
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Dark Energy Survey Year 1 Results: redshift distributions of the weak-lensing source galaxies
journal, April 2018
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- Monthly Notices of the Royal Astronomical Society, Vol. 478, Issue 1
Dark Energy Survey Year 1 results: weak lensing mass calibration of redMaPPer galaxy clusters
journal, October 2018
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- Monthly Notices of the Royal Astronomical Society, Vol. 482, Issue 1
Phenotypic redshifts with self-organizing maps: A novel method to characterize redshift distributions of source galaxies for weak lensing
journal, August 2019
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- Monthly Notices of the Royal Astronomical Society, Vol. 489, Issue 1
Dark Energy Survey Year 1 Results: calibration of redMaGiC redshift distributions in DES and SDSS from cross-correlations
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Self-consistent redshift estimation using correlation functions without a spectroscopic reference sample
journal, February 2019
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Dark Energy Survey Year 1 Results: Calibration of redMaGiC redshift distributions in DES and SDSS from cross-correlations
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- Cawthon, R.; Davis, C.; Gatti, M.
- Apollo - University of Cambridge Repository
Dark Energy Survey Year 1 Results: Redshift distributions of the weak lensing source galaxies
text, January 2017
- Hoyle, B.; Gruen, D.; Bernstein, G. M.
- arXiv
Density split statistics: Cosmological constraints from counts and lensing in cells in DES Y1 and SDSS data
text, January 2017
- Gruen, D.; Friedrich, O.; Krause, E.
- arXiv
Self-consistent redshift estimation using correlation functions without a spectroscopic reference sample
text, January 2018
- Hoyle, Ben; Rau, Markus Michael
- arXiv
Dark Energy Survey Year 1 Results: Weak Lensing Mass Calibration of redMaPPer Galaxy Clusters
text, January 2018
- McClintock, T.; Varga, T. N.; Gruen, D.
- arXiv
Phenotypic redshifts with self-organizing maps: A novel method to characterize redshift distributions of source galaxies for weak lensing
text, January 2019
- Buchs, R.; Davis, C.; Gruen, D.
- arXiv
Photo-z outlier self-calibration in weak lensing surveys
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- arXiv
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