Photometric Redshift Requirements for Self-Calibration of Cluster Dark Energy Studies

The ability to constrain dark energy from the evolution of galaxy cluster counts is limited by the imperfect knowledge of cluster redshifts. Ongoing and upcoming surveys will mostly rely on redshifts estimated from broad-band photometry (photo-z's). For a Gaussian distribution for the cluster p...

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Main Authors: Lima, Marcos, Hu, Wayne
Format: Text
Language:unknown
Published: arXiv 2007
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Online Access:https://dx.doi.org/10.48550/arxiv.0709.2871
https://arxiv.org/abs/0709.2871
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spelling ftdatacite:10.48550/arxiv.0709.2871 2023-05-15T18:22:45+02:00 Photometric Redshift Requirements for Self-Calibration of Cluster Dark Energy Studies Lima, Marcos Hu, Wayne 2007 https://dx.doi.org/10.48550/arxiv.0709.2871 https://arxiv.org/abs/0709.2871 unknown arXiv https://dx.doi.org/10.1103/physrevd.76.123013 Assumed arXiv.org perpetual, non-exclusive license to distribute this article for submissions made before January 2004 http://arxiv.org/licenses/assumed-1991-2003/ Astrophysics astro-ph FOS Physical sciences article-journal Article ScholarlyArticle Text 2007 ftdatacite https://doi.org/10.48550/arxiv.0709.2871 https://doi.org/10.1103/physrevd.76.123013 2022-04-01T15:26:53Z The ability to constrain dark energy from the evolution of galaxy cluster counts is limited by the imperfect knowledge of cluster redshifts. Ongoing and upcoming surveys will mostly rely on redshifts estimated from broad-band photometry (photo-z's). For a Gaussian distribution for the cluster photo-z errors and a high cluster yield cosmology defined by the WMAP 1 year results, the photo-z bias and scatter needs to be known better than 0.003 and 0.03, respectively, in order not to degrade dark energy constrains by more than 10% for a survey with specifications similar to the South Pole Telescope. Smaller surveys and cosmologies with lower cluster yields produce weaker photo-z requirements, though relative to worse baseline constraints. Comparable photo-z requirements are necessary in order to employ self-calibration techniques when solving for dark energy and observable-mass parameters simultaneously. On the other hand, self-calibration in combination with external mass inferences helps reduce photo-z requirements and provides important consistency checks for future cluster surveys. In our fiducial model, training sets with spectroscopic redshifts for ~5%-15% of the detected clusters are required in order to keep degradations in the dark energy equation of state lower than 20%. : 18 pages, 8 figures, submitted to PRD Text South pole DataCite Metadata Store (German National Library of Science and Technology) South Pole
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic Astrophysics astro-ph
FOS Physical sciences
spellingShingle Astrophysics astro-ph
FOS Physical sciences
Lima, Marcos
Hu, Wayne
Photometric Redshift Requirements for Self-Calibration of Cluster Dark Energy Studies
topic_facet Astrophysics astro-ph
FOS Physical sciences
description The ability to constrain dark energy from the evolution of galaxy cluster counts is limited by the imperfect knowledge of cluster redshifts. Ongoing and upcoming surveys will mostly rely on redshifts estimated from broad-band photometry (photo-z's). For a Gaussian distribution for the cluster photo-z errors and a high cluster yield cosmology defined by the WMAP 1 year results, the photo-z bias and scatter needs to be known better than 0.003 and 0.03, respectively, in order not to degrade dark energy constrains by more than 10% for a survey with specifications similar to the South Pole Telescope. Smaller surveys and cosmologies with lower cluster yields produce weaker photo-z requirements, though relative to worse baseline constraints. Comparable photo-z requirements are necessary in order to employ self-calibration techniques when solving for dark energy and observable-mass parameters simultaneously. On the other hand, self-calibration in combination with external mass inferences helps reduce photo-z requirements and provides important consistency checks for future cluster surveys. In our fiducial model, training sets with spectroscopic redshifts for ~5%-15% of the detected clusters are required in order to keep degradations in the dark energy equation of state lower than 20%. : 18 pages, 8 figures, submitted to PRD
format Text
author Lima, Marcos
Hu, Wayne
author_facet Lima, Marcos
Hu, Wayne
author_sort Lima, Marcos
title Photometric Redshift Requirements for Self-Calibration of Cluster Dark Energy Studies
title_short Photometric Redshift Requirements for Self-Calibration of Cluster Dark Energy Studies
title_full Photometric Redshift Requirements for Self-Calibration of Cluster Dark Energy Studies
title_fullStr Photometric Redshift Requirements for Self-Calibration of Cluster Dark Energy Studies
title_full_unstemmed Photometric Redshift Requirements for Self-Calibration of Cluster Dark Energy Studies
title_sort photometric redshift requirements for self-calibration of cluster dark energy studies
publisher arXiv
publishDate 2007
url https://dx.doi.org/10.48550/arxiv.0709.2871
https://arxiv.org/abs/0709.2871
geographic South Pole
geographic_facet South Pole
genre South pole
genre_facet South pole
op_relation https://dx.doi.org/10.1103/physrevd.76.123013
op_rights Assumed arXiv.org perpetual, non-exclusive license to distribute this article for submissions made before January 2004
http://arxiv.org/licenses/assumed-1991-2003/
op_doi https://doi.org/10.48550/arxiv.0709.2871
https://doi.org/10.1103/physrevd.76.123013
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