Tests of AMiBA data integrity
Journal
Astrophysical Journal
Journal Volume
694
Journal Issue
2
Pages
1637-1642
Date Issued
2009
Author(s)
Abstract
We describe methods used to validate data from the Y.T. Lee Array for Microwave Background Anisotropy (AMiBA), an interferometric array designed to measure the Sunyaev-Zel’dovich effect and the anisotropy of the Cosmic Microwave Background (CMB). We perform several statistical tests on data from pointed galaxy cluster observations taken in 2007 and noise data from longterm blank sky observations and measurements with the feeds covered by the absorbers. We apply power spectrum analysis, cross power spectrum analysis among different outputs with different time lags in our analog correlator, and sample variance law tests to noise data. We find that (1) there is no time variation of electronic offsets on the time scale of our two-patch observations ( ∼ 10 minutes); (2) noise is correlated by less than 10 % between different lags; and (3) the variance of noise scales with the inverse of time. To test the Gaussianity of the data, we apply Kolmogorov-Smirnov (K-S) tests to cluster data, and find that a 5 % significance level efficiently detects data sets with known hardware problems without rejecting an excess of acceptable data. We also calculate third- and
SDGs
Type
journal article