English  |  正體中文  |  简体中文  |  Items with full text/Total items : 57517/91034 (63%)
Visitors : 13472208      Online Users : 374
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/50701

    Title: Tests of AMiBA Data Integrity
    Authors: 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
    Contributors: 淡江大學物理學系
    Keywords: cosmic microwave background;cosmology: observations;methods: data analysis
    Date: 2009-04
    Issue Date: 2010-08-10 15:16:50 (UTC+8)
    Publisher: Philadelphia: Institute of Physics Publishing, Inc.
    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.
    Relation: The Astrophysical Journal 694(2), pp.1637-1642
    DOI: 10.1088/0004-637X/694/2/1637
    Appears in Collections:[Graduate Institute & Department of Physics] Journal Article

    Files in This Item:

    File Description SizeFormat
    0004-637X_694(2)p1637-1642.pdf4676KbAdobe PDF33View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback