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Title: Photometric Redshifts with the LSST. II. The Impact of Near-infrared and Near-ultraviolet Photometry

Journal Article · · The Astronomical Journal (Online)
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  1. Univ. of Washington, Seattle, WA (United States). DiRAC Institute, Dept. of Astronomy
  2. University of California, Davis, Davis, CA (United States). Dept. of Physics
  3. National Research Council of Canada, Victoria (Canada)

Accurate photometric redshift (photo-z) estimates are essential to the cosmological science goals of the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST). In this work, we use simulated photometry for mock galaxy catalogs to explore how LSST photo-z estimates can be improved by the addition of near-infrared (NIR) and/or ultraviolet (UV ) photometry from the Euclid, Wide-Field InfrarRed Survey Telescope (WFIRST), and/or Cosmological Advanced Survey Telescope for Optical and ultraviolet Research (CASTOR) space telescopes. Generally, we find that deeper optical photometry can reduce the standard deviation of the photo-z estimates more than adding NIR or UV filters but that additional filters are the only way to significantly lower the fraction of galaxies with catastrophically under- or overestimated photo-z. For Euclid, we find that the addition of JH 5σ photometric detections can reduce the standard deviation for galaxies with z > 1 (z > 0.3) by ~20% (~10%), and the fraction of outliers by ~40% (~25%). For WFIRST, we show how the addition of deep YJHK photometry could reduce the standard deviation by ≳50% at z > 1.5 and drastically reduce the fraction of outliers to just ~2% overall. For CASTOR, we find that the addition of its UV- and u-band photometry could reduce the standard deviation by ~30% and the fraction of outliers by ~50% for galaxies with z < 0.5. We also evaluate the photo-z results within sky areas that overlap with both the NIR and UV surveys and when spectroscopic training sets built from the surveys’ small-area deep fields are used.

Research Organization:
Univ. of California, Davis, CA (United States); Univ. of Washington, Seattle, WA (United States); Stanford Univ., CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC)
Grant/Contract Number:
SC0009999; SC0011635; AC02-76SF00515
OSTI ID:
1802007
Journal Information:
The Astronomical Journal (Online), Vol. 159, Issue 6; ISSN 1538-3881
Publisher:
IOP PublishingCopyright Statement
Country of Publication:
United States
Language:
English

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Photometric redshift requirements for lens galaxies in galaxy-galaxy lensing analyses: Lensing with photometric redshifts journal January 2012
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Spectroscopic needs for imaging dark energy experiments journal March 2015
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Scientific Synergy between LSST and Euclid journal December 2017
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Impact of photometric redshifts on the galaxy power spectrum and BAO scale in the LSST survey journal March 2019
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Photometric redshifts for the Dark Energy Survey and VISTA and implications for large-scale structure journal May 2008
Photometric redshifts from SDSS images using a convolutional neural network journal December 2018
LSST: From Science Drivers to Reference Design and Anticipated Data Products journal March 2019

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