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

R. Buchs; C. Davis; D. Gruen; J. DeRose; A. Alarcon; G. M. Bernstein; C. Sanchez; J. Myles; A. Roodman; S. Allen; A. Amon; A. Choi; D. C. Masters; R. Miquel; M. A. Troxel; R. H. Wechsler; T. M. C. Abbott; J. Annis; S. Avila; K. Bechtol; S. L. Bridle; D. Brooks; E. Buckley-Geer; D. L. Burke; A. Carnero Rosell; M. Carrasco Kind; J. Carretero; F. J. Castander; R. Cawthon; C. B. D'Andrea; L. N. da Costa; J. De Vicente; S. Desai; H. T. Diehl; P. Doel; A. Drlica-Wagner; T. F. Eifler; A. E. Evrard; B. Flaugher; P. Fosalba; J. Frieman; J. Garcia-Bellido; E. Gaztanaga; R. A. Gruend; J. Gschwend; G. Gutierrez; W. G. Hartley; D. L. Hollowood; K. Honscheid; D. J. James; K. Kuehn; N. Kuropatkin; M. Lima; H. Lin; M. A. G. Maia; M. March; J. L. Marshall; P. Melchior; F. Menanteau; R. L. C. Ogando; A. A. Plazas; E. S. Rykoff; E. Sanchez; Scarpine; S. Serrano; Sevilla-Noarbe; M. Smith; M. Soares-Santos; F. Sobreira; E. Suchyta; M. E. C. Swanson; G. Tarle; D. Thomas; V. Vikram; DES Collaboration

doi:10.1093/mnras/stz2162

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

Journal article

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

R. Buchs, C. Davis, D. Gruen, J. DeRose, A. Alarcon, G. M. Bernstein, C. Sanchez, J. Myles, A. Roodman, S. Allen, …

Monthly notices of the Royal Astronomical Society, Vol.489(1), pp.820-841

10/11/2019

DOI: https://doi.org/10.1093/mnras/stz2162

Abstract

Astronomy & Astrophysics

Science & Technology

Physical Sciences

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 sigma(Delta z) = 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.

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Title: Phenotypic redshifts with self-organizing maps: A novel method to characterize redshift distributions of source galaxies for weak lensing
Creators: R. Buchs - Menlo School
C. Davis - University of Louisville
D. Gruen - Kavli Institute for Particle Astrophysics and Cosmology
J. DeRose - Stanford University
A. Alarcon - IEEC, E-08034 Barcelona, Spain
G. M. Bernstein - University of Pennsylvania
C. Sanchez - University of Pennsylvania
J. Myles - Stanford University
A. Roodman - Kavli Institute for Particle Astrophysics and Cosmology
S. Allen - Stanford University
A. Amon - Kavli Institute for Particle Astrophysics and Cosmology
A. Choi - The Ohio State University
D. C. Masters - Infrared Proc & Anal Ctr, Pasadena, CA 91125 USA
R. Miquel - Institució Catalana de Recerca i Estudis Avançats
M. A. Troxel - Duke University
R. H. Wechsler - Stanford University
T. M. C. Abbott - Cerro Tololo Inter-American Observatory
J. Annis - Fermi National Accelerator Laboratory
S. Avila - University of Portsmouth
K. Bechtol - LSST, 933 North Cherry Ave, Tucson, AZ 85721 USA
S. L. Bridle - University of Manchester
D. Brooks - University College London
E. Buckley-Geer - Fermi National Accelerator Laboratory
D. L. Burke - SLAC National Accelerator Laboratory
A. Carnero Rosell - Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas
M. Carrasco Kind - University of Illinois Urbana-Champaign
J. Carretero - Institute for High Energy Physics
F. J. Castander - Institut d'Estudis Espacials de Catalunya
R. Cawthon - University of Wisconsin–Madison
C. B. D'Andrea - Univ Penn, Dept Phys & Astron, Philadelphia, PA 19104 USA
L. N. da Costa - Laboratório Interinstitucional de e-Astronomia
J. De Vicente - CIUDAD
S. Desai - Indian Institute of Technology Hyderabad
H. T. Diehl - Fermi National Accelerator Laboratory
P. Doel - University College London
A. Drlica-Wagner - Fermi National Accelerator Laboratory
T. F. Eifler - Jet Propulsion Laboratory
A. E. Evrard - University of Michigan
B. Flaugher - Fermi National Accelerator Laboratory
P. Fosalba - Institut d'Estudis Espacials de Catalunya
J. Frieman - Fermi National Accelerator Laboratory
J. Garcia-Bellido - Universidad Autónoma de Madrid
E. Gaztanaga - Institut d'Estudis Espacials de Catalunya
R. A. Gruend - University of Illinois Urbana-Champaign
J. Gschwend - Laboratório Interinstitucional de e-Astronomia
G. Gutierrez - Fermi National Accelerator Laboratory
W. G. Hartley - ETH Zurich
D. L. Hollowood - Santa Cruz Inst Particle Phys, Santa Cruz, CA 95064 USA
K. Honscheid - The Ohio State University
D. J. James - Center for Astrophysics Harvard & Smithsonian
K. Kuehn - Australian Astronomical Observatory
N. Kuropatkin - Fermi National Accelerator Laboratory
M. Lima - Laboratório Interinstitucional de e-Astronomia
H. Lin - Fermi National Accelerator Laboratory
M. A. G. Maia - Laboratório Interinstitucional de e-Astronomia
M. March - University of Pennsylvania
J. L. Marshall - Mitchell Institute
P. Melchior - Princeton University
F. Menanteau - National Center for Supercomputing Applications
R. L. C. Ogando - Laboratório Interinstitucional de e-Astronomia
A. A. Plazas - Jet Propulsion Laboratory
E. S. Rykoff - SLAC National Accelerator Laboratory
E. Sanchez - Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas
Scarpine - Fermi National Accelerator Laboratory
S. Serrano - IEEC, E-08034 Barcelona, Spain
Sevilla-Noarbe - Ctr Invest Energet Medioambientales & Tecnol CIEM, E-28040 Madrid, Spain
M. Smith - University of Southampton
M. Soares-Santos - Brandeis University, Martin A. Fisher School of Physics
F. Sobreira - Universidade Estadual de Campinas (UNICAMP)
E. Suchyta - Oak Ridge National Laboratory
M. E. C. Swanson - National Center for Supercomputing Applications
G. Tarle - Institute for High Energy Physics
D. Thomas - University of Portsmouth
V. Vikram - Argonne National Laboratory
DES Collaboration
Publication Details: Monthly notices of the Royal Astronomical Society, Vol.489(1), pp.820-841
Publisher: Oxford Univ Press
Number of pages: 22
Grant note: University of Edinburgh University of Chicago U.S. Department of Energy; United States Department of Energy (DOE) Kavli Institute of Cosmological Physics at the University of Chicago Lawrence Berkeley National Laboratory; United States Department of Energy (DOE) Ministerio da Ciencia, Tecnologia e Inovacao; Spanish Government Ministry of Science and Education of Spain; Spanish Government Ohio State University University of Pennsylvania Centro de Investigaciones Energeticas, Medioambientales y Tecnologicas-Madrid
Identifiers: 9924552843901921
Academic Unit: Martin A. Fisher School of Physics
Language: English
Resource Type: Journal article

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

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