Tests of AMiBA data integrity

Hiroaki Nishioka*, Fu Cheng Wang, Jiun Huei Proty Wu, Paul T.P. Ho, Chih Wei Locutus Huang, Patrick M. Koch, Yu Wei Liao, Kai Yang Lin, Guo Chin Liu, Sandor M. Molnar, Keiichi Umetsu, Mark Birkinshaw, Pablo Altamirano, Chia Hao Chang, Shu Hao Chang, Su Wei Chang, Ming Tang Chen, Chih Chiang Han, Yau De Huang, Yuh Jing HwangHomin Jiang, Michael Kesteven, Derek Y. Kubo, Chao Te Li, Pierre Martin-Cocher, Peter Oshiro, Philippe Raffin, Tashun Wei, Warwick Wilson

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

14 Citations (Scopus)

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. We perform several statistical tests on data from pointed observations of galaxy clusters taken in 2007 and noise data from long-term 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 timescale 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 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 fourth-order moments and cumulants for the noise residual visibilities and find that about 95% of our data are within the 99% confidence regions of Gaussianity.

Original languageEnglish
Pages (from-to)1637-1642
Number of pages6
JournalAstrophysical Journal
Volume694
Issue number2
DOIs
Publication statusPublished - 1 Jan 2009

Keywords

  • Cosmic microwave background
  • Cosmology: observations
  • Methods: data analysis

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