Phenotypic redshifts with self-organizing maps: A novel method to characterize redshift distributions of source galaxies for weak lensing-Reference-Cited by-同舟云学术

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

Published:2019-08-09 Issue:1 Volume:489 Page:820-841
ISSN:0035-8711
Container-title:Monthly Notices of the Royal Astronomical Society
language:en
Short-container-title:

Author:

Buchs R¹²³⁴^ORCID,Davis C¹²⁵^ORCID,Gruen D¹²⁶^ORCID,DeRose J²⁶,Alarcon A⁷⁸,Bernstein G M⁹,Sánchez C⁹,Myles J⁶,Roodman A¹²,Allen S⁶,Amon A²,Choi A¹⁰,Masters D C¹¹¹²,Miquel R¹³¹⁴,Troxel M A¹⁵,Wechsler R H¹²⁶,Abbott T M C¹⁶,Annis J¹⁷,Avila S¹⁸,Bechtol K¹⁹²⁰,Bridle S L²¹,Brooks D²²,Buckley-Geer E¹⁷,Burke D L¹²,Carnero Rosell A²³²⁴,Carrasco Kind M²⁵²⁶,Carretero J¹⁴,Castander F J⁷⁸,Cawthon R²⁰,D’Andrea C B⁹,da Costa L N²⁴²⁷,De Vicente J²³,Desai S²⁸,Diehl H T¹⁷,Doel P²²,Drlica-Wagner A¹⁷²⁹,Eifler T F¹²³⁰,Evrard A E³¹³²,Flaugher B¹⁷,Fosalba P⁷⁸,Frieman J¹⁷²⁹,García-Bellido J³³,Gaztanaga E⁷⁸,Gruendl R A²⁵²⁶,Gschwend J²⁴²⁷,Gutierrez G¹⁷,Hartley W G²²³⁴,Hollowood D L³⁵,Honscheid K¹⁰³⁶,James D J³⁷,Kuehn K³⁸,Kuropatkin N¹⁷,Lima M²⁴³⁹,Lin H¹⁷,Maia M A G²⁴²⁷,March M⁹,Marshall J L⁴⁰,Melchior P⁴¹,Menanteau F²⁵²⁶,Ogando R L C²⁴²⁷,Plazas A A⁴¹,Rykoff E S¹²,Sanchez E²³,Scarpine V¹⁷,Serrano S⁷⁸,Sevilla-Noarbe I²³,Smith M⁴²,Soares-Santos M⁴³,Sobreira F²⁴⁴⁴,Suchyta E⁴⁵,Swanson M E C²⁶,Tarle G³²,Thomas D¹⁸,Vikram V⁴⁶,

Affiliation:

1. SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA

2. Kavli Institute for Particle Astrophysics and Cosmology, P. O. Box 2450, Stanford University, Stanford, CA 94305, USA

3. École Polytechnique Fédérale de Lausanne, Route Cantonale, CH-1015 Lausanne, Switzerland

4. Institute of Science, Technology, and Policy, ETH Zurich, Universitätstrasse 41, CH-8092 Zurich, Switzerland

5. Descartes Labs, Inc., 100 N Guadelupe St, Santa Fe, NM 87501, USA

6. Department of Physics, Stanford University, 382 Via Pueblo Mall, Stanford, CA 94305, USA

7. Institut d’Estudis Espacials de Catalunya (IEEC), E-08034 Barcelona, Spain

8. Institute of Space Sciences (ICE, CSIC), Campus UAB, Carrer de Can Magrans, s/n, E-08193 Barcelona, Spain

9. Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104, 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

12. Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Dr., Pasadena, CA 91109, USA

13. Institució Catalana de Recerca i Estudis Avançats, E-08010 Barcelona, Spain

14. Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology, Campus UAB, E-08193 Bellaterra (Barcelona), Spain

15. Department of Physics, Duke University Durham, NC 27708, USA

16. Cerro Tololo Inter-American Observatory, National Optical Astronomy Observatory, Casilla 603, La Serena, Chile

17. Fermi National Accelerator Laboratory, P. O. Box 500, Batavia, IL 60510, USA

18. Institute of Cosmology and Gravitation, University of Portsmouth, Portsmouth PO1 3FX, UK

19. LSST, 933 North Cherry Avenue, Tucson, AZ 85721, USA

20. Physics Department, 2320 Chamberlin Hall, University of Wisconsin-Madison, 1150 University Avenue Madison, WI 53706, USA

21. Jodrell Bank Center for Astrophysics, School of Physics and Astronomy, University of Manchester, Oxford Road, Manchester M13 9PL, UK

22. Department of Physics and Astronomy, University College London, Gower Street, London WC1E 6BT, UK

23. Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), E-28040 Madrid, Spain

24. Laboratório Interinstitucional de e-Astronomia - LIneA, Rua Gal. José Cristino 77, Rio de Janeiro RJ - 20921-400, Brazil

25. Department of Astronomy, University of Illinois at Urbana-Champaign, 1002 W, Green Street, Urbana, IL 61801, USA

26. National Center for Supercomputing Applications, 1205 West Clark St., Urbana, IL 61801, USA

27. Observatório Nacional, Rua Gal. José Cristino 77, Rio de Janeiro RJ - 20921-400, Brazil

28. Department of Physics, IIT Hyderabad, Kandi, Telangana 502285, India

29. Kavli Institute for Cosmological Physics, University of Chicago, Chicago, IL 60637, USA

30. Department of Astronomy/Steward Observatory, 933 North Cherry Avenue, Tucson, AZ 85721-0065, USA

31. Department of Astronomy, University of Michigan, Ann Arbor, MI 48109, USA

32. Department of Physics, University of Michigan, Ann Arbor, MI 48109, USA

33. Instituto de Fisica Teorica UAM/CSIC, Universidad Autonoma de Madrid, E-8049 Madrid, Spain

34. Department of Physics, ETH Zurich, Wolfgang-Pauli-Strasse 16, CH-8093 Zurich, Switzerland

35. Santa Cruz Institute for Particle Physics, Santa Cruz, CA 95064, USA

36. Department of Physics, The Ohio State University, Columbus, OH 43210, USA

37. Center for Astrophysics, Harvard and Smithsonian, 60 Garden Street, MS 42, Cambridge, MA 02138, USA

38. Australian Astronomical Optics, Macquarie University, North Ryde, NSW 2113, Australia

39. Departamento de Física Matemática, Instituto de Física, Universidade de São Paulo, CP 66318, São Paulo, SP 05314-970, Brazil

40. 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

41. Department of Astrophysical Sciences, Princeton University, Peyton Hall, Princeton, NJ 08544, USA

42. School of Physics and Astronomy, University of Southampton, Southampton SO17 1BJ, UK

43. Physics Department, Brandeis University, 415 South Street, Waltham, MA 02453, USA

44. Instituto de Física Gleb Wataghin, Universidade Estadual de Campinas, 13083-859 Campinas, SP, Brazil

45. Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA

46. Argonne National Laboratory, 9700 South Cass Avenue, Lemont, IL 60439, USA

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 a similar observing strategy.

Funder

Department of Energy

National Aeronautics and Space Administration

Smithsonian Astrophysical Observatory

National Science Foundation

Science and Technology Facilities Council

Higher Education Funding Council for England

University of Illinois at Urbana-Champaign

University of Chicago

Ohio State University

Financiadora de Estudos e Projetos

Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro