教師資料查詢 | 類別: 期刊論文 | 教師: 劉國欽 LIOU GUO CHIN (瀏覽個人網頁)

標題:Tests of AMiBA Data Integrity
學年97
學期2
出版(發表)日期2009/04/01
作品名稱Tests of AMiBA Data Integrity
作品名稱(其他語言)
著者Nishioka, Hiroaki; Wang, Fu-cheng; Wu, Jiun-huei Proty; Ho, Paul T. P.; Huang, Chih-wei Locutus; Koch, Patrick M.; Liao, Yu-wei; Lin, Kai-yang; Liu, Guo-chin; Molnar, Sandor M.; Umetsu, Keiichi; Birkinshaw, Mark; Altamirano, Pablo; Chang, Chia-hao; Chang, Shu-hao; Chang, Su-wei; Chen, Ming-tang; Han, Chih-chiang; Huang, Yau-de; Hwang, Yuh-jing; Jiang, Homin; Kesteven, Michael; Kubo, Derek Y.; Li, Chao-te; Martin-Cocher, Pierre; Oshiro, Peter; Raffin, Philippe; Wei, Tashun; Wilson, Warwick
單位淡江大學物理學系
出版者Philadelphia: Institute of Physics Publishing, Inc.
著錄名稱、卷期、頁數The Astrophysical Journal 694(2), pp.1637-1642
摘要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.
關鍵字cosmic microwave background; cosmology: observations; methods: data analysis
語言英文
ISSN0004-637X;1538-4357
期刊性質國外
收錄於SCI
產學合作
通訊作者
審稿制度
國別美國
公開徵稿
出版型式紙本;電子版
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