What Lies Beneath: Using p(z) to Reduce Systematic Photometric Redshift Errors

Details What Lies Beneath: Using p(z) to Reduce Systematic Photometric Redshift Errors What Lies Beneath: Using p(z) to Reduce Systematic Photometric Redshift Errors

2009-05-06

arxiv.org/abs/0905.0892v2

Astrophys.J.700:L174-L177,2009

Astronomy and Astrophysics

Astrophysics

Cosmology and Extragalactic Astrophysics

v2 accepted to ApJ Letters; includes minor clarifications and simulates an additional example filter set

Scientific paper

10.1088/0004-637X/700/2/L174

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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