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Title: Phenotypic redshifts with self-organizing maps: A novel method to characterize redshift distributions of source galaxies for weak lensing

Abstract

ABSTRACT Wide-field imaging surveys such as the Dark Energy Survey (DES) rely on coarse measurements of spectral energy distributions in a few filters to estimate the redshift distribution of source galaxies. In this regime, sample variance, shot noise, and selection effects limit the attainable accuracy of redshift calibration and thus of cosmological constraints. We present a new method to combine wide-field, few-filter measurements with catalogues from deep fields with additional filters and sufficiently low photometric noise to break degeneracies in photometric redshifts. The multiband deep field is used as an intermediary between wide-field observations and accurate redshifts, greatly reducing sample variance, shot noise, and selection effects. Our implementation of the method uses self-organizing maps to group galaxies into phenotypes based on their observed fluxes, and is tested using a mock DES catalogue created from N-body simulations. It yields a typical uncertainty on the mean redshift in each of five tomographic bins for an idealized simulation of the DES Year 3 weak-lensing tomographic analysis of σΔz = 0.007, which is a 60 per cent improvement compared to the Year 1 analysis. Although the implementation of the method is tailored to DES, its formalism can be applied to other large photometric surveys with amore » similar observing strategy.« less

Authors:
ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [3];  [4];  [5];  [6];  [6];  [7];  [8];  [7];  [9];  [10];  [11];  [12];  [13];  [3];  [14];  [15];  [16];  [17] more »;  [18];  [19];  [15];  [8];  [20];  [21];  [22];  [5];  [23];  [6];  [24];  [25];  [26];  [15];  [19];  [27];  [28];  [29];  [15];  [5];  [27];  [30];  [5];  [21];  [24];  [15];  [31];  [32];  [33];  [34];  [35];  [15];  [36];  [15];  [24];  [6];  [37];  [38];  [21];  [24];  [38];  [8];  [25];  [15];  [5];  [25];  [39];  [40];  [41];  [42];  [43];  [44];  [16];  [45];  [46] « less
  1. SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA, Kavli Institute for Particle Astrophysics and Cosmology, P. O. Box 2450, Stanford University, Stanford, CA 94305, USA, École Polytechnique Fédérale de Lausanne, Route Cantonale, CH-1015 Lausanne, Switzerland, Institute of Science, Technology, and Policy, ETH Zurich, Universitätstrasse 41, CH-8092 Zurich, Switzerland
  2. SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA, Kavli Institute for Particle Astrophysics and Cosmology, P. O. Box 2450, Stanford University, Stanford, CA 94305, USA, Descartes Labs, Inc., 100 N Guadelupe St, Santa Fe, NM 87501, USA
  3. SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA, Kavli Institute for Particle Astrophysics and Cosmology, P. O. Box 2450, Stanford University, Stanford, CA 94305, USA, Department of Physics, Stanford University, 382 Via Pueblo Mall, Stanford, CA 94305, USA
  4. Kavli Institute for Particle Astrophysics and Cosmology, P. O. Box 2450, Stanford University, Stanford, CA 94305, USA, Department of Physics, Stanford University, 382 Via Pueblo Mall, Stanford, CA 94305, USA
  5. Institut d’Estudis Espacials de Catalunya (IEEC), E-08034 Barcelona, Spain, Institute of Space Sciences (ICE, CSIC), Campus UAB, Carrer de Can Magrans, s/n, E-08193 Barcelona, Spain
  6. Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104, USA
  7. Department of Physics, Stanford University, 382 Via Pueblo Mall, Stanford, CA 94305, USA
  8. SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA, Kavli Institute for Particle Astrophysics and Cosmology, P. O. Box 2450, Stanford University, Stanford, CA 94305, USA
  9. Kavli Institute for Particle Astrophysics and Cosmology, P. O. Box 2450, Stanford University, Stanford, CA 94305, USA
  10. Center for Cosmology and Astro-Particle Physics, The Ohio State University, Columbus, OH 43210, USA
  11. Infrared Processing and Analysis Center, Pasadena, CA 91125, USA, Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Dr., Pasadena, CA 91109, USA
  12. Institució Catalana de Recerca i Estudis Avançats, E-08010 Barcelona, Spain, Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology, Campus UAB, E-08193 Bellaterra (Barcelona), Spain
  13. Department of Physics, Duke University Durham, NC 27708, USA
  14. Cerro Tololo Inter-American Observatory, National Optical Astronomy Observatory, Casilla 603, La Serena, Chile
  15. Fermi National Accelerator Laboratory, P. O. Box 500, Batavia, IL 60510, USA
  16. Institute of Cosmology and Gravitation, University of Portsmouth, Portsmouth PO1 3FX, UK
  17. LSST, 933 North Cherry Avenue, Tucson, AZ 85721, USA, Physics Department, 2320 Chamberlin Hall, University of Wisconsin-Madison, 1150 University Avenue Madison, WI 53706, USA
  18. Jodrell Bank Center for Astrophysics, School of Physics and Astronomy, University of Manchester, Oxford Road, Manchester M13 9PL, UK
  19. Department of Physics and Astronomy, University College London, Gower Street, London WC1E 6BT, UK
  20. Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), E-28040 Madrid, Spain, Laboratório Interinstitucional de e-Astronomia - LIneA, Rua Gal. José Cristino 77, Rio de Janeiro RJ - 20921-400, Brazil
  21. Department of Astronomy, University of Illinois at Urbana-Champaign, 1002 W, Green Street, Urbana, IL 61801, USA, National Center for Supercomputing Applications, 1205 West Clark St., Urbana, IL 61801, USA
  22. Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology, Campus UAB, E-08193 Bellaterra (Barcelona), Spain
  23. Physics Department, 2320 Chamberlin Hall, University of Wisconsin-Madison, 1150 University Avenue Madison, WI 53706, USA
  24. 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
  25. Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), E-28040 Madrid, Spain
  26. Department of Physics, IIT Hyderabad, Kandi, Telangana 502285, India
  27. Fermi National Accelerator Laboratory, P. O. Box 500, Batavia, IL 60510, USA, Kavli Institute for Cosmological Physics, University of Chicago, Chicago, IL 60637, USA
  28. Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Dr., Pasadena, CA 91109, USA, Department of Astronomy/Steward Observatory, 933 North Cherry Avenue, Tucson, AZ 85721-0065, USA
  29. Department of Astronomy, University of Michigan, Ann Arbor, MI 48109, USA, Department of Physics, University of Michigan, Ann Arbor, MI 48109, USA
  30. Instituto de Fisica Teorica UAM/CSIC, Universidad Autonoma de Madrid, E-8049 Madrid, Spain
  31. Department of Physics and Astronomy, University College London, Gower Street, London WC1E 6BT, UK, Department of Physics, ETH Zurich, Wolfgang-Pauli-Strasse 16, CH-8093 Zurich, Switzerland
  32. Santa Cruz Institute for Particle Physics, Santa Cruz, CA 95064, USA
  33. 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
  34. Center for Astrophysics, Harvard and Smithsonian, 60 Garden Street, MS 42, Cambridge, MA 02138, USA
  35. Australian Astronomical Optics, Macquarie University, North Ryde, NSW 2113, Australia
  36. 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
  37. 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
  38. Department of Astrophysical Sciences, Princeton University, Peyton Hall, Princeton, NJ 08544, USA
  39. School of Physics and Astronomy, University of Southampton, Southampton SO17 1BJ, UK
  40. Physics Department, Brandeis University, 415 South Street, Waltham, MA 02453, USA
  41. Laboratório Interinstitucional de e-Astronomia - LIneA, Rua Gal. José Cristino 77, Rio de Janeiro RJ - 20921-400, Brazil, Instituto de Física Gleb Wataghin, Universidade Estadual de Campinas, 13083-859 Campinas, SP, Brazil
  42. Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
  43. National Center for Supercomputing Applications, 1205 West Clark St., Urbana, IL 61801, USA
  44. Department of Physics, University of Michigan, Ann Arbor, MI 48109, USA
  45. Argonne National Laboratory, 9700 South Cass Avenue, Lemont, IL 60439, USA
  46. (
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; DES Collaboration
OSTI Identifier:
1558844
Alternate Identifier(s):
OSTI ID: 1527430; OSTI ID: 1559590; OSTI ID: 1569038
Report Number(s):
arXiv:1901.05005; FERMILAB-PUB-19-011-AE
Journal ID: ISSN 0035-8711
Grant/Contract Number:  
AC02-76SF00515; AC02-07CH11359; AC05-00OR22725
Resource Type:
Published Article
Journal Name:
Monthly Notices of the Royal Astronomical Society
Additional Journal Information:
Journal Name: Monthly Notices of the Royal Astronomical Society Journal Volume: 489 Journal Issue: 1; Journal ID: ISSN 0035-8711
Publisher:
Royal Astronomical Society
Country of Publication:
United Kingdom
Language:
English
Subject:
79 ASTRONOMY AND ASTROPHYSICS; gravitational lensing: weak; galaxies: distances and redshifts; dark energy; 72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS; cosmology; photometric redshifts; weak gravitational lensing

Citation Formats

Buchs, R., Davis, C., Gruen, D., DeRose, J., Alarcon, A., Bernstein, G. M., Sánchez, C., Myles, J., Roodman, A., Allen, S., Amon, A., Choi, A., Masters, D. C., Miquel, R., Troxel, M. A., Wechsler, R. H., Abbott, T. M. C., Annis, J., Avila, S., Bechtol, K., Bridle, S. L., Brooks, D., Buckley-Geer, E., Burke, D. L., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Castander, F. J., Cawthon, R., D’Andrea, C. B., da Costa, L. N., De Vicente, J., Desai, S., Diehl, H. T., Doel, P., Drlica-Wagner, A., Eifler, T. F., Evrard, A. E., Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Gaztanaga, E., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hartley, W. G., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Kuropatkin, N., Lima, M., Lin, H., Maia, M. A. G., March, M., Marshall, J. L., Melchior, P., Menanteau, F., Ogando, R. L. C., Plazas, A. A., Rykoff, E. S., Sanchez, E., Scarpine, V., Serrano, S., Sevilla-Noarbe, I., Smith, M., Soares-Santos, M., Sobreira, F., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., Vikram, V., and DES Collaboration). Phenotypic redshifts with self-organizing maps: A novel method to characterize redshift distributions of source galaxies for weak lensing. United Kingdom: N. p., 2019. Web. doi:10.1093/mnras/stz2162.
Buchs, R., Davis, C., Gruen, D., DeRose, J., Alarcon, A., Bernstein, G. M., Sánchez, C., Myles, J., Roodman, A., Allen, S., Amon, A., Choi, A., Masters, D. C., Miquel, R., Troxel, M. A., Wechsler, R. H., Abbott, T. M. C., Annis, J., Avila, S., Bechtol, K., Bridle, S. L., Brooks, D., Buckley-Geer, E., Burke, D. L., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Castander, F. J., Cawthon, R., D’Andrea, C. B., da Costa, L. N., De Vicente, J., Desai, S., Diehl, H. T., Doel, P., Drlica-Wagner, A., Eifler, T. F., Evrard, A. E., Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Gaztanaga, E., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hartley, W. G., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Kuropatkin, N., Lima, M., Lin, H., Maia, M. A. G., March, M., Marshall, J. L., Melchior, P., Menanteau, F., Ogando, R. L. C., Plazas, A. A., Rykoff, E. S., Sanchez, E., Scarpine, V., Serrano, S., Sevilla-Noarbe, I., Smith, M., Soares-Santos, M., Sobreira, F., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., Vikram, V., & DES Collaboration). Phenotypic redshifts with self-organizing maps: A novel method to characterize redshift distributions of source galaxies for weak lensing. United Kingdom. https://doi.org/10.1093/mnras/stz2162
Buchs, R., Davis, C., Gruen, D., DeRose, J., Alarcon, A., Bernstein, G. M., Sánchez, C., Myles, J., Roodman, A., Allen, S., Amon, A., Choi, A., Masters, D. C., Miquel, R., Troxel, M. A., Wechsler, R. H., Abbott, T. M. C., Annis, J., Avila, S., Bechtol, K., Bridle, S. L., Brooks, D., Buckley-Geer, E., Burke, D. L., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Castander, F. J., Cawthon, R., D’Andrea, C. B., da Costa, L. N., De Vicente, J., Desai, S., Diehl, H. T., Doel, P., Drlica-Wagner, A., Eifler, T. F., Evrard, A. E., Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Gaztanaga, E., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hartley, W. G., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Kuropatkin, N., Lima, M., Lin, H., Maia, M. A. G., March, M., Marshall, J. L., Melchior, P., Menanteau, F., Ogando, R. L. C., Plazas, A. A., Rykoff, E. S., Sanchez, E., Scarpine, V., Serrano, S., Sevilla-Noarbe, I., Smith, M., Soares-Santos, M., Sobreira, F., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., Vikram, V., and DES Collaboration). Fri . "Phenotypic redshifts with self-organizing maps: A novel method to characterize redshift distributions of source galaxies for weak lensing". United Kingdom. https://doi.org/10.1093/mnras/stz2162.
@article{osti_1558844,
title = {Phenotypic redshifts with self-organizing maps: A novel method to characterize redshift distributions of source galaxies for weak lensing},
author = {Buchs, R. and Davis, C. and Gruen, D. and DeRose, J. and Alarcon, A. and Bernstein, G. M. and Sánchez, C. and Myles, J. and Roodman, A. and Allen, S. and Amon, A. and Choi, A. and Masters, D. C. and Miquel, R. and Troxel, M. A. and Wechsler, R. H. and Abbott, T. M. C. and Annis, J. and Avila, S. and Bechtol, K. and Bridle, S. L. 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 Cawthon, R. and D’Andrea, C. B. and da Costa, L. N. and De Vicente, J. and Desai, S. and Diehl, H. T. and Doel, P. and Drlica-Wagner, A. and Eifler, T. F. and Evrard, A. E. and Flaugher, B. and Fosalba, P. and Frieman, J. and García-Bellido, J. and Gaztanaga, E. and Gruendl, R. A. and Gschwend, J. and Gutierrez, G. and Hartley, W. G. and Hollowood, D. L. and Honscheid, K. and James, D. J. and Kuehn, K. and Kuropatkin, N. and Lima, M. and Lin, H. and Maia, M. A. G. and March, M. and Marshall, J. L. and Melchior, P. and Menanteau, F. and Ogando, R. L. C. and Plazas, A. A. and Rykoff, E. S. and Sanchez, E. and Scarpine, V. and Serrano, S. 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 DES Collaboration)},
abstractNote = {ABSTRACT Wide-field imaging surveys such as the Dark Energy Survey (DES) rely on coarse measurements of spectral energy distributions in a few filters to estimate the redshift distribution of source galaxies. In this regime, sample variance, shot noise, and selection effects limit the attainable accuracy of redshift calibration and thus of cosmological constraints. We present a new method to combine wide-field, few-filter measurements with catalogues from deep fields with additional filters and sufficiently low photometric noise to break degeneracies in photometric redshifts. The multiband deep field is used as an intermediary between wide-field observations and accurate redshifts, greatly reducing sample variance, shot noise, and selection effects. Our implementation of the method uses self-organizing maps to group galaxies into phenotypes based on their observed fluxes, and is tested using a mock DES catalogue created from N-body simulations. It yields a typical uncertainty on the mean redshift in each of five tomographic bins for an idealized simulation of the DES Year 3 weak-lensing tomographic analysis of σΔz = 0.007, which is a 60 per cent improvement compared to the Year 1 analysis. Although the implementation of the method is tailored to DES, its formalism can be applied to other large photometric surveys with a similar observing strategy.},
doi = {10.1093/mnras/stz2162},
journal = {Monthly Notices of the Royal Astronomical Society},
number = 1,
volume = 489,
place = {United Kingdom},
year = {Fri Aug 09 00:00:00 EDT 2019},
month = {Fri Aug 09 00:00:00 EDT 2019}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
https://doi.org/10.1093/mnras/stz2162

Citation Metrics:
Cited by: 48 works
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Figures / Tables:

Figure 1 Figure 1: Illustration of how redshift can be estimated from broadband images, yet not always unambiguously. Top: The same template of an elliptical galaxy is redshifted at z = 0.4 and z = 0.8. These objects exhibit clearly different colors. Bottom: Templates of an elliptical galaxy and a Sbc galaxymore » at different redshifts are plotted. In the optical (e.g. from griz information), those two objects are indistinguishable: type and redshift are degenerate. Adding u and near-infrared bands – especially the H and Ks bands – differentiates them. Colored areas show relative throughput of DES ugriz and VISTA YJHKs bands. Galaxy templates are taken from Beńıtez et al. (2004).« less

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Dark Energy Survey Year 1 results: cross-correlation redshifts – methods and systematics characterization
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Recovering redshift distributions with cross-correlations: pushing the boundaries
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Approximating Photo- z PDFs for Large Surveys
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KiDS+2dFLenS+GAMA: testing the cosmological model with the EG statistic
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Redshift distributions of galaxies in the Dark Energy Survey Science Verification shear catalogue and implications for weak lensing
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