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Title: Dark Energy Survey Year 3 results: redshift calibration of the weak lensing source galaxies

Abstract

Determining the distribution of redshifts of galaxies observed by wide-field photometric experiments like the Dark Energy Survey (DES) is an essential component to mapping the matter density field with gravitational lensing. In this work we describe the methods used to assign individual weak lensing source galaxies from the DES Year 3 Weak Lensing Source Catalogue to four tomographic bins and to estimate the redshift distributions in these bins. As the first application of these methods to data, we validate that the assumptions made apply to the DES Y3 weak lensing source galaxies and develop a full treatment of systematic uncertainties. Our method consists of combining information from three independent likelihood functions: self-organizing map p(z) (sompz), a method for constraining redshifts from galaxy photometry; clustering redshifts (WZ), constraints on redshifts from cross-correlations of galaxy density functions; and shear ratios (SRs), which provide constraints on redshifts from the ratios of the galaxy-shear correlation functions at small scales. Lastly, we describe how these independent probes are combined to yield an ensemble of redshift distributions encapsulating our full uncertainty. We calibrate redshifts with combined effective uncertainties of σ< z > ~ 0.01 on the mean redshift in each tomographic bin.

Authors:
ORCiD logo [1];  [2];  [1]; ORCiD logo [3];  [4];  [5];  [6]; ORCiD logo [1]; ORCiD logo [3];  [7];  [8];  [8]; ORCiD logo [9];  [8];  [10];  [11]; ORCiD logo [12];  [13];  [14];  [3] more »;  [15]; ORCiD logo [15];  [16];  [17]; ORCiD logo [18];  [19];  [20];  [21];  [21];  [22];  [23]; ORCiD logo [24];  [25];  [25];  [26];  [27];  [1];  [21];  [28];  [29];  [21];  [21];  [11];  [30];  [31];  [14];  [32];  [25];  [33];  [17];  [15];  [34];  [35];  [36];  [34];  [16];  [37];  [38];  [21];  [39];  [40];  [41];  [42];  [20];  [21];  [34];  [43];  [44];  [34];  [45];  [46];  [4];  [40];  [47];  [37];  [48];  [49];  [50];  [32];  [29];  [16];  [51];  [52];  [53];  [17];  [54];  [55];  [6];  [16];  [43];  [56];  [53];  [26];  [8];  [26];  [21];  [3];  [34];  [57];  [37];  [58];  [59];  [37];  [11];  [1];  [60];  [60];  [21] « less
  1. Department of Physics, Stanford University, 382 Via Pueblo Mall, Stanford, CA 94305, 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
  2. Argonne National Laboratory, 9700 South Cass Avenue, Lemont, IL 60439, USA, Institute of Space Sciences (ICE, CSIC), Campus UAB, Carrer de Can Magrans, s/n, E-08193 Barcelona, Spain, Institut d’Estudis Espacials de Catalunya (IEEC), E-08034 Barcelona, Spain
  3. Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104, USA
  4. Santa Cruz Institute for Particle Physics, Santa Cruz, CA 95064, USA
  5. Department of Astronomy, University of California, Berkeley, 501 Campbell Hall, Berkeley, CA 94720, USA, Santa Cruz Institute for Particle Physics, Santa Cruz, CA 95064, USA
  6. Kavli Institute for Particle Astrophysics and Cosmology, PO Box 2450, Stanford University, Stanford, CA 94305, USA
  7. Department of Physics, Duke University Durham, NC 27708, USA
  8. Department of Physics, Carnegie Mellon University, Pittsburgh, PA 15312, USA
  9. Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge CB3 0WA, UK
  10. Kavli Institute for Cosmological Physics, University of Chicago, Chicago, IL 60637, USA
  11. Institute of Cosmology and Gravitation, University of Portsmouth, Portsmouth PO1 3FX, UK
  12. Argonne National Laboratory, 9700 South Cass Avenue, Lemont, IL 60439, USA
  13. Center for Cosmology and Astro-Particle Physics, The Ohio State University, Columbus, OH 43210, USA
  14. Jodrell Bank Center for Astrophysics, School of Physics and Astronomy, University of Manchester, Oxford Road, Manchester M13 9PL, UK
  15. Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology, Campus UAB, E-08193 Bellaterra (Barcelona) Spain
  16. 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
  17. 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
  18. Department of Physics, University of Oxford, Denys Wilkinson Building, Keble Road, Oxford OX1 3RH, UK, Jodrell Bank Center for Astrophysics, School of Physics and Astronomy, University of Manchester, Oxford Road, Manchester M13 9PL, UK
  19. Département de Physique Théorique and Center for Astroparticle Physics, Université de Genève, 24 quai Ernest Ansermet, CH-1211 Geneva, Switzerland
  20. Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Dr., Pasadena, CA 91109, USA
  21. Fermi National Accelerator Laboratory, PO Box 500, Batavia, IL 60510, USA
  22. Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA 91109, USA
  23. 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
  24. Department of Astronomy and Astrophysics, University of Chicago, Chicago, IL 60637, USA
  25. 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
  26. Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), E-28040 Madrid, Spain
  27. Brookhaven National Laboratory, Bldg 510, Upton, NY 11973, USA
  28. Cerro Tololo Inter-American Observatory, NSF’s National Optical-Infrared Astronomy Research Laboratory, Casilla 603, La Serena, Chile
  29. Departamento de Física Matemática, Instituto de Física, Universidade de São Paulo, CP 66318, São Paulo, SP, 05314-970, Brazil, Laboratório Interinstitucional de e-Astronomia – LIneA, Rua Gal. José Cristino 77, Rio de Janeiro, RJ – 20921-400, Brazil
  30. CNRS, UMR 7095, Institut d’Astrophysique de Paris, F-75014 Paris, France, Sorbonne Universités, UPMC Université Paris 06, UMR 7095, Institut d’Astrophysique de Paris, F-75014 Paris, France
  31. Department of Physics and Astronomy, Pevensey Building, University of Sussex, Brighton BN1 9QH, UK
  32. Department of Physics & Astronomy, University College London, Gower Street, London WC1E 6BT, UK
  33. Instituto de Astrofisica de Canarias, E-38205 La Laguna, Tenerife, Spain, Universidad de La Laguna, Dpto. Astrofísica, E-38206 La Laguna, Tenerife, Spain
  34. 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
  35. Jodrell Bank Center for Astrophysics, School of Physics and Astronomy, University of Manchester, Oxford Road, Manchester M13 9PL, UK, School of Physics and Astronomy, University of Nottingham, Nottingham NG7 2RD, UK
  36. INAF – Osservatorio Astronomico di Trieste, via G. B. Tiepolo 11, I-34143 Trieste, Italy, Institute for Fundamental Physics of the Universe, Via Beirut 2, I-34014 Trieste, Italy
  37. Department of Physics, University of Michigan, Ann Arbor, MI 48109, USA
  38. Department of Physics, IIT Hyderabad, Kandi, Telangana 502285, India
  39. Department of Astronomy/Steward Observatory, University of Arizona, 933 North Cherry Avenue, Tucson, AZ 85721-0065, USA, Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Dr., Pasadena, CA 91109, USA
  40. 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
  41. Department of Astronomy, University of Michigan, Ann Arbor, MI 48109, USA, Department of Physics, University of Michigan, Ann Arbor, MI 48109, USA
  42. Institute of Theoretical Astrophysics, University of Oslo, PO Box 1029 Blindern, NO-0315 Oslo, Norway
  43. Fermi National Accelerator Laboratory, PO Box 500, Batavia, IL 60510, USA, Kavli Institute for Cosmological Physics, University of Chicago, Chicago, IL 60637, USA
  44. Instituto de Fisica Teorica UAM/CSIC, Universidad Autonoma de Madrid, E-28049 Madrid, Spain
  45. 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
  46. School of Mathematics and Physics, University of Queensland, Brisbane, QLD 4072, Australia
  47. Faculty of Physics, Ludwig-Maximilians-Universität, Scheinerstr. 1, D-81679 Munich, Germany, Max Planck Institute for Extraterrestrial Physics, Giessenbachstrasse, D-85748 Garching, Germany, Universitäts-Sternwarte, Fakultät für Physik, Ludwig-Maximilians Universität München, Scheinerstr. 1, D-81679 München, Germany
  48. Center for Astrophysics | Harvard & Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA
  49. Department of Astronomy/Steward Observatory, University of Arizona, 933 North Cherry Avenue, Tucson, AZ 85721-0065, USA
  50. Australian Astronomical Optics, Macquarie University, North Ryde, NSW 2113, Australia, Lowell Observatory, 1400 Mars Hill Rd, Flagstaff, AZ 86001, USA
  51. Department of Physics and Astronomy, George P. and Cynthia Woods Mitchell Institute for Fundamental Physics and Astronomy, Texas A&M University, College Station, TX 77843, USA
  52. 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, Radcliffe Institute for Advanced Study, Harvard University, Cambridge, MA 02138, USA
  53. Department of Astrophysical Sciences, Princeton University, Peyton Hall, Princeton, NJ 08544, USA
  54. Faculty of Physics, Ludwig-Maximilians-Universität, Scheinerstr. 1, D-81679 Munich, Germany, Max Planck Institute for Extraterrestrial Physics, Giessenbachstrasse, D-85748 Garching, Germany
  55. Physics Department, 2320 Chamberlin Hall, University of Wisconsin-Madison, 1150 University Avenue, Madison, WI 53706-1390, USA
  56. Institute of Astronomy, University of Cambridge, Madingley Road, Cambridge CB3 0HA, UK, National Center for Supercomputing Applications, 1205 West Clark St., Urbana, IL 61801, USA
  57. School of Physics and Astronomy, University of Southampton, Southampton SO17 1BJ, UK
  58. Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, UK
  59. National Center for Supercomputing Applications, 1205 West Clark St., Urbana, IL 61801, USA
  60. Max Planck Institute for Extraterrestrial Physics, Giessenbachstrasse, D-85748 Garching, Germany, Universitäts-Sternwarte, Fakultät für Physik, Ludwig-Maximilians Universität München, Scheinerstr. 1, D-81679 München, Germany
Publication Date:
Research Org.:
SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); Argonne National Laboratory (ANL), Argonne, IL (United States); Brookhaven National Laboratory (BNL), Upton, NY (United States); Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States); Carnegie Mellon Univ., Pittsburgh, PA (United States); Univ. of Michigan, Ann Arbor, MI (United States)
Sponsoring Org.:
USDOE Laboratory Directed Research and Development (LDRD) Program
Contributing Org.:
DES Collaboration; DES
OSTI Identifier:
1798225
Alternate Identifier(s):
OSTI ID: 1798196; OSTI ID: 1818680; OSTI ID: 1820110; OSTI ID: 1824850; OSTI ID: 1829995; OSTI ID: 1837673; OSTI ID: 1872935
Report Number(s):
SLAC-PUB-17611; FERMILAB-PUB-20-659-AE; arXiv:2012.08566
Journal ID: ISSN 0035-8711
Grant/Contract Number:  
AC02-76SF00515; AC05-00OR22725; AC02-06CH11357; AC02-07CH11359; SC0010118; SC0019193
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: 505 Journal Issue: 3; Journal ID: ISSN 0035-8711
Publisher:
Oxford University Press
Country of Publication:
United Kingdom
Language:
English
Subject:
79 ASTRONOMY AND ASTROPHYSICS; gravitational lensing: weak; galaxies: distances and redshifts; dark energy

Citation Formats

Myles, J., Alarcon, A., Amon, A., Sánchez, C., Everett, S., DeRose, J., McCullough, J., Gruen, D., Bernstein, G. M., Troxel, M. A., Dodelson, S., Campos, A., MacCrann, N., Yin, B., Raveri, M., Amara, A., Becker, M. R., Choi, A., Cordero, J., Eckert, K., Gatti, M., Giannini, G., Gschwend, J., Gruendl, R. A., Harrison, I., Hartley, W. G., Huff, E. M., Kuropatkin, N., Lin, H., Masters, D., Miquel, R., Prat, J., Roodman, A., Rykoff, E. S., Sevilla-Noarbe, I., Sheldon, E., Wechsler, R. H., Yanny, B., Abbott, T. M. C., Aguena, M., Allam, S., Annis, J., Bacon, D., Bertin, E., Bhargava, S., Bridle, S. L., Brooks, D., Burke, D. L., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Castander, F. J., Conselice, C., Costanzi, M., Crocce, M., da Costa, L. N., Pereira, M. E. S., Desai, S., Diehl, H. T., Eifler, T. F., Elvin-Poole, J., Evrard, A. E., Ferrero, I., Ferté, A., Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Gaztanaga, E., Giannantonio, T., Hinton, S. R., Hollowood, D. L., Honscheid, K., Hoyle, B., Huterer, D., James, D. J., Krause, E., Kuehn, K., Lahav, O., Lima, M., Maia, M. A. G., Marshall, J. L., Martini, P., Melchior, P., Menanteau, F., Mohr, J. J., Morgan, R., Muir, J., Ogando, R. L. C., Palmese, A., Paz-Chinchón, F., Plazas, A. A., Rodriguez-Monroy, M., Samuroff, S., Sanchez, E., Scarpine, V., Secco, L. F., Serrano, S., Smith, M., Soares-Santos, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., To, C., Varga, T. N., Weller, J., and Wester, W. Dark Energy Survey Year 3 results: redshift calibration of the weak lensing source galaxies. United Kingdom: N. p., 2021. Web. doi:10.1093/mnras/stab1515.
Myles, J., Alarcon, A., Amon, A., Sánchez, C., Everett, S., DeRose, J., McCullough, J., Gruen, D., Bernstein, G. M., Troxel, M. A., Dodelson, S., Campos, A., MacCrann, N., Yin, B., Raveri, M., Amara, A., Becker, M. R., Choi, A., Cordero, J., Eckert, K., Gatti, M., Giannini, G., Gschwend, J., Gruendl, R. A., Harrison, I., Hartley, W. G., Huff, E. M., Kuropatkin, N., Lin, H., Masters, D., Miquel, R., Prat, J., Roodman, A., Rykoff, E. S., Sevilla-Noarbe, I., Sheldon, E., Wechsler, R. H., Yanny, B., Abbott, T. M. C., Aguena, M., Allam, S., Annis, J., Bacon, D., Bertin, E., Bhargava, S., Bridle, S. L., Brooks, D., Burke, D. L., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Castander, F. J., Conselice, C., Costanzi, M., Crocce, M., da Costa, L. N., Pereira, M. E. S., Desai, S., Diehl, H. T., Eifler, T. F., Elvin-Poole, J., Evrard, A. E., Ferrero, I., Ferté, A., Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Gaztanaga, E., Giannantonio, T., Hinton, S. R., Hollowood, D. L., Honscheid, K., Hoyle, B., Huterer, D., James, D. J., Krause, E., Kuehn, K., Lahav, O., Lima, M., Maia, M. A. G., Marshall, J. L., Martini, P., Melchior, P., Menanteau, F., Mohr, J. J., Morgan, R., Muir, J., Ogando, R. L. C., Palmese, A., Paz-Chinchón, F., Plazas, A. A., Rodriguez-Monroy, M., Samuroff, S., Sanchez, E., Scarpine, V., Secco, L. F., Serrano, S., Smith, M., Soares-Santos, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., To, C., Varga, T. N., Weller, J., & Wester, W. Dark Energy Survey Year 3 results: redshift calibration of the weak lensing source galaxies. United Kingdom. https://doi.org/10.1093/mnras/stab1515
Myles, J., Alarcon, A., Amon, A., Sánchez, C., Everett, S., DeRose, J., McCullough, J., Gruen, D., Bernstein, G. M., Troxel, M. A., Dodelson, S., Campos, A., MacCrann, N., Yin, B., Raveri, M., Amara, A., Becker, M. R., Choi, A., Cordero, J., Eckert, K., Gatti, M., Giannini, G., Gschwend, J., Gruendl, R. A., Harrison, I., Hartley, W. G., Huff, E. M., Kuropatkin, N., Lin, H., Masters, D., Miquel, R., Prat, J., Roodman, A., Rykoff, E. S., Sevilla-Noarbe, I., Sheldon, E., Wechsler, R. H., Yanny, B., Abbott, T. M. C., Aguena, M., Allam, S., Annis, J., Bacon, D., Bertin, E., Bhargava, S., Bridle, S. L., Brooks, D., Burke, D. L., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Castander, F. J., Conselice, C., Costanzi, M., Crocce, M., da Costa, L. N., Pereira, M. E. S., Desai, S., Diehl, H. T., Eifler, T. F., Elvin-Poole, J., Evrard, A. E., Ferrero, I., Ferté, A., Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Gaztanaga, E., Giannantonio, T., Hinton, S. R., Hollowood, D. L., Honscheid, K., Hoyle, B., Huterer, D., James, D. J., Krause, E., Kuehn, K., Lahav, O., Lima, M., Maia, M. A. G., Marshall, J. L., Martini, P., Melchior, P., Menanteau, F., Mohr, J. J., Morgan, R., Muir, J., Ogando, R. L. C., Palmese, A., Paz-Chinchón, F., Plazas, A. A., Rodriguez-Monroy, M., Samuroff, S., Sanchez, E., Scarpine, V., Secco, L. F., Serrano, S., Smith, M., Soares-Santos, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., To, C., Varga, T. N., Weller, J., and Wester, W. Thu . "Dark Energy Survey Year 3 results: redshift calibration of the weak lensing source galaxies". United Kingdom. https://doi.org/10.1093/mnras/stab1515.
@article{osti_1798225,
title = {Dark Energy Survey Year 3 results: redshift calibration of the weak lensing source galaxies},
author = {Myles, J. and Alarcon, A. and Amon, A. and Sánchez, C. and Everett, S. and DeRose, J. and McCullough, J. and Gruen, D. and Bernstein, G. M. and Troxel, M. A. and Dodelson, S. and Campos, A. and MacCrann, N. and Yin, B. and Raveri, M. and Amara, A. and Becker, M. R. and Choi, A. and Cordero, J. and Eckert, K. and Gatti, M. and Giannini, G. and Gschwend, J. and Gruendl, R. A. and Harrison, I. and Hartley, W. G. and Huff, E. M. and Kuropatkin, N. and Lin, H. and Masters, D. and Miquel, R. and Prat, J. and Roodman, A. and Rykoff, E. S. and Sevilla-Noarbe, I. and Sheldon, E. and Wechsler, R. H. and Yanny, B. and Abbott, T. M. C. and Aguena, M. and Allam, S. and Annis, J. and Bacon, D. and Bertin, E. and Bhargava, S. and Bridle, S. L. and Brooks, D. and Burke, D. L. and Carnero Rosell, A. and Carrasco Kind, M. and Carretero, J. and Castander, F. J. and Conselice, C. and Costanzi, M. and Crocce, M. and da Costa, L. N. and Pereira, M. E. S. and Desai, S. and Diehl, H. T. and Eifler, T. F. and Elvin-Poole, J. and Evrard, A. E. and Ferrero, I. and Ferté, A. and Flaugher, B. and Fosalba, P. and Frieman, J. and García-Bellido, J. and Gaztanaga, E. and Giannantonio, T. and Hinton, S. R. and Hollowood, D. L. and Honscheid, K. and Hoyle, B. and Huterer, D. and James, D. J. and Krause, E. and Kuehn, K. and Lahav, O. and Lima, M. and Maia, M. A. G. and Marshall, J. L. and Martini, P. and Melchior, P. and Menanteau, F. and Mohr, J. J. and Morgan, R. and Muir, J. and Ogando, R. L. C. and Palmese, A. and Paz-Chinchón, F. and Plazas, A. A. and Rodriguez-Monroy, M. and Samuroff, S. and Sanchez, E. and Scarpine, V. and Secco, L. F. and Serrano, S. and Smith, M. and Soares-Santos, M. and Suchyta, E. and Swanson, M. E. C. and Tarle, G. and Thomas, D. and To, C. and Varga, T. N. and Weller, J. and Wester, W.},
abstractNote = {Determining the distribution of redshifts of galaxies observed by wide-field photometric experiments like the Dark Energy Survey (DES) is an essential component to mapping the matter density field with gravitational lensing. In this work we describe the methods used to assign individual weak lensing source galaxies from the DES Year 3 Weak Lensing Source Catalogue to four tomographic bins and to estimate the redshift distributions in these bins. As the first application of these methods to data, we validate that the assumptions made apply to the DES Y3 weak lensing source galaxies and develop a full treatment of systematic uncertainties. Our method consists of combining information from three independent likelihood functions: self-organizing map p(z) (sompz), a method for constraining redshifts from galaxy photometry; clustering redshifts (WZ), constraints on redshifts from cross-correlations of galaxy density functions; and shear ratios (SRs), which provide constraints on redshifts from the ratios of the galaxy-shear correlation functions at small scales. Lastly, we describe how these independent probes are combined to yield an ensemble of redshift distributions encapsulating our full uncertainty. We calibrate redshifts with combined effective uncertainties of σ< z > ~ 0.01 on the mean redshift in each tomographic bin.},
doi = {10.1093/mnras/stab1515},
journal = {Monthly Notices of the Royal Astronomical Society},
number = 3,
volume = 505,
place = {United Kingdom},
year = {Thu May 27 00:00:00 EDT 2021},
month = {Thu May 27 00:00:00 EDT 2021}
}

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Practical Weak-lensing Shear Measurement with Metacalibration
journal, May 2017


Galaxy–Galaxy lensing in HSC: Validation tests and the impact of heterogeneous spectroscopic training sets
journal, October 2019

  • Speagle, Joshua S.; Leauthaud, Alexie; Huang, Song
  • Monthly Notices of the Royal Astronomical Society, Vol. 490, Issue 4
  • DOI: 10.1093/mnras/stz2968

KiDS+VIKING-450: Improved cosmological parameter constraints from redshift calibration with self-organising maps
journal, August 2020


The Multi-Object, Fiber-Fed Spectrographs for the Sloan Digital sky Survey and the Baryon Oscillation Spectroscopic Survey
journal, July 2013


The impact of spectroscopic incompleteness in direct calibration of redshift distributions for weak lensing surveys
journal, June 2020

  • Hartley, W. G.; Chang, C.; Samani, S.
  • Monthly Notices of the Royal Astronomical Society, Vol. 496, Issue 4
  • DOI: 10.1093/mnras/staa1812

Redshift inference from the combination of galaxy colours and clustering in a hierarchical Bayesian model
journal, November 2018

  • Sánchez, Carles; Bernstein, Gary M.
  • Monthly Notices of the Royal Astronomical Society, Vol. 483, Issue 2
  • DOI: 10.1093/mnras/sty3222

The cosmological simulation code gadget-2
journal, December 2005


The 16th Data Release of the Sloan Digital Sky Surveys: First Release from the APOGEE-2 Southern Survey and Full Release of eBOSS Spectra
journal, June 2020

  • Ahumada, Romina; Prieto, Carlos Allende; Almeida, Andrés
  • The Astrophysical Journal Supplement Series, Vol. 249, Issue 1
  • DOI: 10.3847/1538-4365/ab929e

The VIMOS Public Extragalactic Redshift Survey (VIPERS): Full spectroscopic data and auxiliary information release (PDR-2)⋆
journal, January 2018


The VISTA Deep Extragalactic Observations (VIDEO) survey★
journal, October 2012

  • Jarvis, Matt J.; Bonfield, D. G.; Bruce, V. A.
  • Monthly Notices of the Royal Astronomical Society, Vol. 428, Issue 2
  • DOI: 10.1093/mnras/sts118

calclens: weak lensing simulations for large-area sky surveys and second-order effects in cosmic shear power spectra
journal, August 2013

  • Becker, Matthew R.
  • Monthly Notices of the Royal Astronomical Society, Vol. 435, Issue 1
  • DOI: 10.1093/mnras/stt1352

Systematic errors in future weak-lensing surveys: requirements and prospects for self-calibration
journal, February 2006


Hierarchical Bayesian inference of galaxy redshift distributions from photometric surveys
journal, June 2016

  • Leistedt, Boris; Mortlock, Daniel J.; Peiris, Hiranya V.
  • Monthly Notices of the Royal Astronomical Society, Vol. 460, Issue 4
  • DOI: 10.1093/mnras/stw1304

Euclid preparation: VIII. The Complete Calibration of the Colour–Redshift Relation survey: VLT/KMOS observations and data release
journal, October 2020


Evaluation of probabilistic photometric redshift estimation approaches for The Rubin Observatory Legacy Survey of Space and Time (LSST)
journal, September 2020

  • Schmidt, S. J.; Malz, A. I.; Soo, J. Y. H.
  • Monthly Notices of the Royal Astronomical Society
  • DOI: 10.1093/mnras/staa2799

The Physics of the Accelerating Universe Camera
journal, June 2019

  • Padilla, Cristóbal; Castander, Francisco J.; Alarcón, Alex
  • The Astronomical Journal, Vol. 157, Issue 6
  • DOI: 10.3847/1538-3881/ab0412

Cross-Correlation Tomography: Measuring Dark Energy Evolution with Weak Lensing
journal, October 2003


Redshift inference from the combination of galaxy colours and clustering in a hierarchical Bayesian model – Application to realistic N-body simulations
journal, August 2020

  • Alarcon, Alex; Sánchez, Carles; Bernstein, Gary M.
  • Monthly Notices of the Royal Astronomical Society, Vol. 498, Issue 2
  • DOI: 10.1093/mnras/staa2478

THE COSMOS2015 CATALOG: EXPLORING THE 1 < z < 6 UNIVERSE WITH HALF A MILLION GALAXIES
journal, June 2016

  • Laigle, C.; McCracken, H. J.; Ilbert, O.
  • The Astrophysical Journal Supplement Series, Vol. 224, Issue 2
  • DOI: 10.3847/0067-0049/224/2/24

THE zCOSMOS 10k-BRIGHT SPECTROSCOPIC SAMPLE
journal, September 2009

  • Lilly, Simon J.; Le Brun, Vincent; Maier, Christian
  • The Astrophysical Journal Supplement Series, Vol. 184, Issue 2
  • DOI: 10.1088/0067-0049/184/2/218

Estimating the redshift distribution of photometric galaxy samples
journal, October 2008


The Complete Calibration of the Color–Redshift Relation (C3R2) Survey: Survey Overview and Data Release 1
journal, May 2017

  • Masters, Daniel C.; Stern, Daniel K.; Cohen, Judith G.
  • The Astrophysical Journal, Vol. 841, Issue 2
  • DOI: 10.3847/1538-4357/aa6f08

Photometric redshifts and model spectral energy distributions of galaxies from the SDSS-III BOSS DR10 data
journal, June 2015

  • Greisel, N.; Seitz, S.; Drory, N.
  • Monthly Notices of the Royal Astronomical Society, Vol. 451, Issue 2
  • DOI: 10.1093/mnras/stv1005

Calibration errors unleashed: effects on cosmological parameters and requirements for large-scale structure surveys
journal, May 2013

  • Huterer, Dragan; Cunha, Carlos E.; Fang, Wenjuan
  • Monthly Notices of the Royal Astronomical Society, Vol. 432, Issue 4
  • DOI: 10.1093/mnras/stt653

Dark Energy Survey Year 1 results: cross-correlation redshifts – methods and systematics characterization
journal, February 2018

  • Gatti, M.; Vielzeuf, P.; Davis, C.
  • Monthly Notices of the Royal Astronomical Society, Vol. 477, Issue 2
  • DOI: 10.1093/mnras/sty466

CFHTLenS: improving the quality of photometric redshifts with precision photometry★: CFHTLenS: photometric redshifts
journal, February 2012


Dark Energy Survey Year 3 results: Optimizing the lens sample in a combined galaxy clustering and galaxy-galaxy lensing analysis
journal, February 2021


Dark energy survey year 3 results: weak lensing shape catalogue
journal, April 2021

  • Gatti, M.; Sheldon, E.; Amon, A.
  • Monthly Notices of the Royal Astronomical Society, Vol. 504, Issue 3
  • DOI: 10.1093/mnras/stab918

SOMz: photometric redshift PDFs with self-organizing maps and random atlas
journal, January 2014

  • Carrasco Kind, Matias; Brunner, Robert J.
  • Monthly Notices of the Royal Astronomical Society, Vol. 438, Issue 4
  • DOI: 10.1093/mnras/stt2456

Photometric redshift calibration with self-organising maps
journal, April 2020


The PAU Survey: an improved photo- z sample in the COSMOS field
journal, January 2021

  • Alarcon, Alex; Gaztanaga, Enrique; Eriksen, Martin
  • Monthly Notices of the Royal Astronomical Society, Vol. 501, Issue 4
  • DOI: 10.1093/mnras/staa3659

2dFLenS and KiDS: determining source redshift distributions with cross-correlations
journal, November 2016

  • Johnson, Andrew; Blake, Chris; Amon, Alexandra
  • Monthly Notices of the Royal Astronomical Society, Vol. 465, Issue 4
  • DOI: 10.1093/mnras/stw3033

The Cosmic Evolution Survey (COSMOS): Overview
journal, September 2007

  • Scoville, N.; Aussel, H.; Brusa, M.
  • The Astrophysical Journal Supplement Series, Vol. 172, Issue 1
  • DOI: 10.1086/516585

Forward Global Photometric Calibration of the Dark Energy Survey
journal, December 2017


Sample variance in photometric redshift calibration: cosmological biases and survey requirements: Sample variance in photo-z calibration
journal, April 2012

  • Cunha, Carlos E.; Huterer, Dragan; Busha, Michael T.
  • Monthly Notices of the Royal Astronomical Society, Vol. 423, Issue 1
  • DOI: 10.1111/j.1365-2966.2012.20927.x

Phenotypic redshifts with self-organizing maps: A novel method to characterize redshift distributions of source galaxies for weak lensing
journal, August 2019

  • Buchs, R.; Davis, C.; Gruen, D.
  • Monthly Notices of the Royal Astronomical Society, Vol. 489, Issue 1
  • DOI: 10.1093/mnras/stz2162

Photometric redshifts for Hyper Suprime-Cam Subaru Strategic Program Data Release 1
journal, October 2017

  • Tanaka, Masayuki; Coupon, Jean; Hsieh, Bau-Ching
  • Publications of the Astronomical Society of Japan, Vol. 70, Issue SP1
  • DOI: 10.1093/pasj/psx077

the-wizz: clustering redshift estimation for everyone
journal, February 2017

  • Morrison, C. B.; Hildebrandt, H.; Schmidt, S. J.
  • Monthly Notices of the Royal Astronomical Society, Vol. 467, Issue 3
  • DOI: 10.1093/mnras/stx342

The PAU Survey: early demonstration of photometric redshift performance in the COSMOS field
journal, January 2019

  • Eriksen, M.; Alarcon, A.; Gaztanaga, E.
  • Monthly Notices of the Royal Astronomical Society, Vol. 484, Issue 3
  • DOI: 10.1093/mnras/stz204

Self-Organizing Maps
book, January 2001


KiDS-450: cosmological parameter constraints from tomographic weak gravitational lensing
journal, November 2016

  • Hildebrandt, H.; Viola, M.; Heymans, C.
  • Monthly Notices of the Royal Astronomical Society, Vol. 465, Issue 2
  • DOI: 10.1093/mnras/stw2805

Dark Energy Survey Year 1 Results: redshift distributions of the weak-lensing source galaxies
journal, April 2018

  • Hoyle, B.; Gruen, D.; Bernstein, G. M.
  • Monthly Notices of the Royal Astronomical Society, Vol. 478, Issue 1
  • DOI: 10.1093/mnras/sty957

A Modified Magnitude System that Produces Well-Behaved Magnitudes, Colors, and Errors Even for Low Signal-to-Noise Ratio Measurements
journal, September 1999

  • Lupton, Robert H.; Gunn, James E.; Szalay, Alexander S.
  • The Astronomical Journal, Vol. 118, Issue 3
  • DOI: 10.1086/301004

Systematic errors in weak lensing: application to SDSS galaxy-galaxy weak lensing
journal, August 2005


Cosmological lensing ratios with DES Y1, SPT, and Planck
journal, May 2019

  • Prat, J.; Baxter, E.; Shin, T.
  • Monthly Notices of the Royal Astronomical Society, Vol. 487, Issue 1
  • DOI: 10.1093/mnras/stz1309

Mapping the Galaxy Color–Redshift Relation: Optimal Photometric Redshift Calibration Strategies for Cosmology Surveys
journal, October 2015


KiDS+VIKING-450: Cosmic shear tomography with optical and infrared data
journal, January 2020


The Complete Calibration of the Color–Redshift Relation (C3R2) Survey: Analysis and Data Release 2
journal, May 2019

  • Masters, Daniel C.; Stern, Daniel K.; Cohen, Judith G.
  • The Astrophysical Journal, Vol. 877, Issue 2
  • DOI: 10.3847/1538-4357/ab184d

Cosmology from cosmic shear power spectra with Subaru Hyper Suprime-Cam first-year data
journal, March 2019

  • Hikage, Chiaki; Oguri, Masamune; Hamana, Takashi
  • Publications of the Astronomical Society of Japan, Vol. 71, Issue 2
  • DOI: 10.1093/pasj/psz010

redMaGiC: selecting luminous red galaxies from the DES Science Verification data
journal, May 2016

  • Rozo, E.; Rykoff, E. S.; Abate, A.
  • Monthly Notices of the Royal Astronomical Society, Vol. 461, Issue 2
  • DOI: 10.1093/mnras/stw1281

Simultaneous constraints on cosmology and photometric redshift bias from weak lensing and galaxy clustering
journal, September 2016

  • Samuroff, S.; Troxel, M. A.; Bridle, S. L.
  • Monthly Notices of the Royal Astronomical Society: Letters, Vol. 465, Issue 1
  • DOI: 10.1093/mnrasl/slw201

Deriving photometric redshifts using fuzzy archetypes and self-organizing maps – I. Methodology
journal, March 2017

  • Speagle, Joshua S.; Eisenstein, Daniel J.
  • Monthly Notices of the Royal Astronomical Society, Vol. 469, Issue 1
  • DOI: 10.1093/mnras/stw1485

Selection biases in empirical p(z) methods for weak lensing
journal, February 2017

  • Gruen, D.; Brimioulle, F.
  • Monthly Notices of the Royal Astronomical Society, Vol. 468, Issue 1
  • DOI: 10.1093/mnras/stx471