4.7 Article

WHAT LIES BENEATH: USING p(z) TO REDUCE SYSTEMATIC PHOTOMETRIC REDSHIFT ERRORS

Journal

ASTROPHYSICAL JOURNAL LETTERS
Volume 700, Issue 2, Pages L174-L177

Publisher

IOP PUBLISHING LTD
DOI: 10.1088/0004-637X/700/2/L174

Keywords

galaxies: photometry; methods: statistical; surveys

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We use simulations to demonstrate that photometric redshift errors can be greatly reduced by using the photometric redshift probability distribution p(z) rather than a one-point estimate such as the most likely redshift. In principle, this involves tracking a large array of numbers rather than a single number for each galaxy. We introduce a very simple estimator that requires tracking only a single number for each galaxy, while retaining the systematic-error-reducing properties of using the full p(z) and requiring only very minor modifications to existing photometric redshift codes. We find that using this redshift estimator (or using the full p(z)) can substantially reduce systematics in dark energy parameter estimation from weak lensing, at no cost to the survey.

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