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Calculating the transfer function of noise removal by principal component analysis and application to AzTEC deep-field observations

Downes, T. P. and Welch, D. and Scott, K. S. and Austermann, J. and Wilson, G. W. and Yun, M. S. (2012) Calculating the transfer function of noise removal by principal component analysis and application to AzTEC deep-field observations. Monthly Notices of the Royal Astronomical Society, 423 (1). pp. 529-542. ISSN 0035-8711. https://resolver.caltech.edu/CaltechAUTHORS:20120625-144144411

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Abstract

Instruments using arrays of many bolometers have become increasingly common in the past decade. The maps produced by such instruments typically include the filtering effects of the instrument as well as those from subsequent steps performed in the reduction of the data. Therefore interpretation of the maps is dependent upon accurately calculating the transfer function of the chosen reduction technique on the signal of interest.Many of these instruments use non-linear and iterative techniques to reduce their data because such methods can offer an improved signal-to-noise ratio over those that are purely linear, particularly for signals at scales comparable to that subtended by the array.We discuss a general approach for measuring the transfer function of principal component analysis on point sources that are small compared to the spatial extent seen by any single bolometer within the array. The results are applied to previously released AzTEC catalogues of the Cosmic Evolution Survey (COSMOS), Lockman Hole, Subaru XMM–Newton Deep Field, Great Observatories Origins Deep Survey (GOODS)-North and GOODS-South fields. Source flux density and noise estimates increase by roughly +10 per cent for fields observed while AzTEC was installed at the Atacama Submillimeter Telescope Experiment and +15–25 per cent while AzTEC was installed at the James Clerk Maxwell Telescope. Detection significance is, on average, unaffected by the revised technique. The revised photometry technique will be used in subsequent AzTEC releases.


Item Type:Article
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1111/j.1365-2966.2012.20896.xDOIArticle
ORCID:
AuthorORCID
Yun, M. S.0000-0001-7095-7543
Additional Information:© 2012 The Authors. Monthly Notices of the Royal Astronomical Society ©2012 RAS. Accepted 2012 March 9; Received 2012 February 7; in original form 2011 March 15; Issue published online 30 May 2012; Article first published online: 11 Apr 2012. This work has been made possible by generous support from the Kavli Foundation and the Gordon and Betty Moore Foundation. Additional support for this analysis has been provided in part by National Science Foundation grants 0540852, 0838222 and 0907952. KSS is supported by the National Radio Astronomy Observatory, which is a facility of the National Science Foundation operated under cooperative agreement by Associated Universities, Inc. We would like to acknowledge the assistance of Jack Sayers and Stephan Meyer for useful comments on the analysis presented herein. We also thank the observatory staff of the JCMT and ASTE who made these observations possible.
Group:Infrared Processing and Analysis Center (IPAC)
Funders:
Funding AgencyGrant Number
Kavli FoundationUNSPECIFIED
Gordon and Betty Moore FoundationUNSPECIFIED
NSFAST-0540852
NSFAST-0838222
NSFAST-0907952
National Radio Astronomy Observatory (NRAO)UNSPECIFIED
Subject Keywords:atmospheric effects; methods: data analysis; galaxies: high-redshift; galaxies: starburst; submillimetre: galaxies.
Issue or Number:1
Record Number:CaltechAUTHORS:20120625-144144411
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20120625-144144411
Official Citation:Downes, T. P., Welch, D., Scott, K. S., Austermann, J., Wilson, G. W. and Yun, M. S. (2012), Calculating the transfer function of noise removal by principal component analysis and application to AzTEC deep-field observations. Monthly Notices of the Royal Astronomical Society, 423: 529–542. doi: 10.1111/j.1365-2966.2012.20896.x
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:32070
Collection:CaltechAUTHORS
Deposited By: Aucoeur Ngo
Deposited On:25 Jun 2012 22:17
Last Modified:09 Mar 2020 13:19

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