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

Journal Article · Thu Feb 22 00:00:00 EST 2018 · Monthly Notices of the Royal Astronomical Society

DOI:https://doi.org/10.1093/mnras/sty466· OSTI ID:1439283

Gatti, M. ^[1]; Vielzeuf, P. ^[1]; Davis, C. ^[2]; Cawthon, R. ^[3]; Rau, M. M. ^[4]; DeRose, J. ^[5]; De Vicente, J. ^[6]; Alarcon, A. ^[7]; Rozo, E. ^[8]; Gaztanaga, E. ^[7]; Hoyle, B.  ^[4]; Miquel, R. ^[9]; Bernstein, G. M. ^[10]; Bonnett, C. ^[1]; Carnero Rosell, A. ^[11]; Castander, F. J. ^[7]; Chang, C. ^[3]; da Costa, L. N. ^[11]; Gruen, D. ^[12]; Gschwend, J. ^[11] ; Hartley, W. G. ^[13]; Lin, H. ^[14]; MacCrann, N. ^[15]; Maia, M. A. G. ^[11]; Ogando, R. L. C. ^[11]; Roodman, A. ^[12]; Sevilla-Noarbe, I. ^[6]; Troxel, M. A. ^[15]; Wechsler, R. H. ^[16]; Asorey, J. ^[17]; Davis, T. M. ^[17]; Glazebrook, K. ^[18]; Hinton, S. R. ^[19]; Lewis, G. ^[20]; Lidman, C. ^[21]; Macaulay, E. ^[19]; Möller, A. ^[22]; O'Neill, C. R. ^[23]; Sommer, N. E. ^[22]; Uddin, S. A. ^[24]; Yuan, F. ^[22]; Zhang, B. ^[22]; Abbott, T. M. C. ^[25]; Allam, S. ^[14]; Annis, J. ^[14]; Bechtol, K. ^[26]; Brooks, D. ^[27]; Burke, D. L. ^[12]; Carollo, D. ^[28]; Carrasco Kind, M. ^[29]; Carretero, J. ^[1]; Cunha, C. E. ^[2]; D'Andrea, C. B. ^[10]; DePoy, D. L. ^[30]; Desai, S. ^[31]; Eifler, T. F. ^[32]; Evrard, A. E. ^[33]; Flaugher, B. ^[14]; Fosalba, P. ^[7]; Frieman, J. ^[34]; García-Bellido, J. ^[35]; Gerdes, D. W. ^[33]; Goldstein, D. A. ^[36]; Gruendl, R. A. ^[29]; Gutierrez, G. ^[14]; Honscheid, K. ^[15]; Hoormann, J. K. ^[19]; Jain, B. ^[10]; James, D. J. ^[37]; Jarvis, M. ^[10]; Jeltema, T. ^[38]; Johnson, M. W. G. ^[39]; Johnson, M. D. ^[39]; Krause, E. ^[2]; Kuehn, K. ^[40]; Kuhlmann, S. ^[41]; Kuropatkin, N. ^[14]; Li, T. S. ^[14]; Lima, M. ^[42]; Marshall, J. L. ^[30]; Melchior, P. ^[43]; Menanteau, F. ^[44]; Nichol, R. C. ^[45]; Nord, B. ^[14]; Plazas, A. A. ^[46]; Reil, K. ^[47]; Rykoff, E. S. ^[12]; Sako, M. ^[10]; Sanchez, E. ^[6]; Scarpine, V. ^[14]; Schubnell, M. ^[48]; Sheldon, E. ^[49]; Smith, M. ^[50]; Smith, R. C. ^[25]; Soares-Santos, M. ^[14]; Sobreira, F. ^[51]; Suchyta, E. ^[52]; Swanson, M. E. C. ^[53]; Tarle, G. ^[48]; Thomas, D. ^[45]; Tucker, B. E. ^[22]; Tucker, D. L. ^[14]; Vikram, V. ^[41]; Walker, A. R. ^[25]; Weller, J. ^[54]; Wester, W. ^[14]; Wolf, R. C. ^[10]

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1. Institut de Física d'Altes Energies (IFAE), The Barcelona Institute of Science and Technology, Campus UAB, E-08193 Bellaterra (Barcelona), Spain
2. Kavli Institute for Particle Astrophysics and Cosmology, PO Box 2450, Stanford University, Stanford, CA 94305, USA
3. Kavli Institute for Cosmological Physics, University of Chicago, Chicago, IL 60637, USA
4. Universitäts-Sternwarte, Fakultät für Physik, Ludwig-Maximilians Universität München, Scheinerstr. 1, D-81679 München, Germany
5. Kavli Institute for Particle Astrophysics and Cosmology, PO Box 2450, Stanford University, Stanford, CA 94305, USA; Department of Physics, Stanford University, 382 Via Pueblo Mall, Stanford, CA 94305, USA
6. Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), E-28040 Madrid, Spain
7. Institute of Space Sciences, IEEC-CSIC, Campus UAB, Carrer de Can Magrans, s/n, E-08193 Barcelona, Spain
8. Department of Physics, University of Arizona, Tucson, AZ 85721, USA
9. 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
10. Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104, USA
11. Laboratório Interinstitucional de e-Astronomia -- LIneA, Rua Gal. José Cristino 77, 20921-400 Rio de Janeiro, RJ, Brazil; Observatório Nacional, Rua Gal. José Cristino 77, 20921-400 Rio de Janeiro, RJ, Brazil
12. 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
13. 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
14. Fermi National Accelerator Laboratory, PO Box 500, Batavia, IL 60510, USA
15. 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
16. Kavli Institute for Particle Astrophysics and Cosmology, PO Box 2450, Stanford University, Stanford, CA 94305, USA; Department of Physics, Stanford University, 382 Via Pueblo Mall, Stanford, CA 94305, USA; SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA
17. ARC Centre of Excellence for All-sky Astrophysics (CAASTRO); School of Mathematics and Physics, University of Queensland, Brisbane, QLD 4072, Australia
18. Centre for Astrophysics and Supercomputing, Swinburne University of Technology, Victoria 3122, Australia
19. School of Mathematics and Physics, University of Queensland, Brisbane, QLD 4072, Australia
20. ARC Centre of Excellence for All-sky Astrophysics (CAASTRO); Sydney Institute for Astronomy, School of Physics A28, The University of Sydney, NSW 2006, Australia
21. ARC Centre of Excellence for All-sky Astrophysics (CAASTRO); Australian Astronomical Observatory, North Ryde, NSW 2113, Australia
22. ARC Centre of Excellence for All-sky Astrophysics (CAASTRO); The Research School of Astronomy and Astrophysics, Australian National University, ACT 2601, Australia
23. ARC Centre of Excellence for All-sky Astrophysics (CAASTRO)
24. ARC Centre of Excellence for All-sky Astrophysics (CAASTRO); Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing, Jiangshu 210008, China
25. Cerro Tololo Inter-American Observatory, National Optical Astronomy Observatory, Casilla 603, La Serena, Chile
26. LSST, 933 North Cherry Avenue, Tucson, AZ 85721, USA
27. Department of Physics and Astronomy, University College London, Gower Street, London WC1E 6BT, UK
28. ARC Centre of Excellence for All-sky Astrophysics (CAASTRO); INAF -- Osservatorio Astrofisico di Torino, via Osservatorio 20, I-10025 Pino Torinese, Italy
29. 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
30. 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
31. Department of Physics, IIT Hyderabad, Kandi, Telangana 502285, India
32. Department of Physics, California Institute of Technology, Pasadena, CA 91125, USA; Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Dr, Pasadena, CA 91109, USA
33. Department of Astronomy, University of Michigan, Ann Arbor, MI 48109, USA; Department of Physics, University of Michigan, Ann Arbor, MI 48109, USA
34. Kavli Institute for Cosmological Physics, University of Chicago, Chicago, IL 60637, USA; Fermi National Accelerator Laboratory, PO Box 500, Batavia, IL 60510, USA
35. Instituto de Fisica Teorica UAM/CSIC, Universidad Autonoma de Madrid, E-28049 Madrid, Spain
36. Department of Astronomy, University of California, Berkeley, 501 Campbell Hall, Berkeley, CA 94720, USA; Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA
37. Astronomy Department, University of Washington, Box 351580, Seattle, WA 98195, USA
38. Santa Cruz Institute for Particle Physics, Santa Cruz, CA 95064, USA
39. INAF -- Osservatorio Astrofisico di Torino, via Osservatorio 20, I-10025 Pino Torinese, Italy
40. Australian Astronomical Observatory, North Ryde, NSW 2113, Australia
41. Argonne National Laboratory, 9700 South Cass Avenue, Lemont, IL 60439, USA
42. Laboratório Interinstitucional de e-Astronomia -- LIneA, Rua Gal. José Cristino 77, 20921-400 Rio de Janeiro, RJ, Brazil; Departamento de Física Matemática, Instituto de Física, Universidade de São Paulo, CP 66318, 05314-970 São Paulo, SP, Brazil
43. Department of Astrophysical Sciences, Princeton University, Peyton Hall, Princeton, NJ 08544, USA
44. INAF -- Osservatorio Astrofisico di Torino, via Osservatorio 20, I-10025 Pino Torinese, Italy; Department of Astronomy, University of Illinois, 1002 W. Green Street, Urbana, IL 61801, USA
45. Institute of Cosmology and Gravitation, University of Portsmouth, Portsmouth PO1 3FX, UK
46. Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Dr, Pasadena, CA 91109, USA
47. SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA
48. Department of Physics, University of Michigan, Ann Arbor, MI 48109, USA
49. Brookhaven National Laboratory, Bldg 510, Upton, NY 11973, USA
50. School of Physics and Astronomy, University of Southampton, Southampton SO17 1BJ, UK
51. Laboratório Interinstitucional de e-Astronomia -- LIneA, Rua Gal. José Cristino 77, 20921-400 Rio de Janeiro, RJ, Brazil; Instituto de Física Gleb Wataghin, Universidade Estadual de Campinas, 13083-859 Campinas, SP, Brazil
52. Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
53. National Center for Supercomputing Applications, 1205 West Clark St, Urbana, IL 61801, USA
54. Universitäts-Sternwarte, Fakultät für Physik, Ludwig-Maximilians Universität München, Scheinerstr. 1, D-81679 München, Germany; Excellence Cluster Universe, Boltzmannstr. 2, D-85748 Garching, Germany; Max Planck Institute for Extraterrestrial Physics, Giessenbachstrasse, D-85748 Garching, Germany

We use numerical simulations to characterize the performance of a clustering-based method to calibrate photometric redshift biases. In particular, we cross-correlate the weak lensing source galaxies from the Dark Energy Survey Year 1 sample with redMaGiC galaxies (luminous red galaxies with secure photometric redshifts) to estimate the redshift distribution of the former sample. The recovered redshift distributions are used to calibrate the photometric redshift bias of standard photo-z methods applied to the same source galaxy sample.We apply the method to two photo-z codes run in our simulated data: Bayesian Photometric Redshift and Directional Neighbourhood Fitting. We characterize the systematic uncertainties of our calibration procedure, and find that these systematic uncertainties dominate our error budget. The dominant systematics are due to our assumption of unevolving bias and clustering across each redshift bin, and to differences between the shapes of the redshift distributions derived by clustering versus photo-zs. The systematic uncertainty in the mean redshift bias of the source galaxy sample is Δz ≲ 0.02, though the precise value depends on the redshift bin under consideration. We discuss possible ways to mitigate the impact of our dominant systematics in future analyses.

• Research Organization: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States); Brookhaven National Laboratory (BNL), Upton, NY (United States); 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 Organization: USDOE Office of Science (SC), High Energy Physics (HEP); USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
• Contributing Organization: DES Collaboration
• Grant/Contract Number: AC02-07CH11359; SC0012704; AC05-00OR22725; AC02-05CH11231
• OSTI ID: 1439283
• Alternate ID(s): OSTI ID: 1399673; OSTI ID: 1468040; OSTI ID: 1487083
• Report Number(s): FERMILAB-PUB-17-317-A-AE; arXiv:1709.00992; BNL-114383-2017-JA; 1621443; TRN: US1900591
• Journal Information: Monthly Notices of the Royal Astronomical Society, Vol. 477, Issue 2; ISSN 0035-8711
• Publisher: Royal Astronomical Society
• Country of Publication: United States
• Language: English

Related Subjects

79 ASTRONOMY AND ASTROPHYSICS
galaxies: distances and redshifts
cosmology: observations