Interpolation of PSF based on compressive sampling and its application in weak lensing survey

We propose a new point spread function (PSF) interpolation method based on compressive sampling (CS). Complex-Valued fractional Brownion motion (CV-fBm) field is used as a model of the PSF spatial distribution. The 1/f property of the fBm implies that it is a compressible field; therefore, CS will b...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Monthly notices of the Royal Astronomical Society 2014-09, Vol.443 (1), p.919-926
1. Verfasser:	Suksmono, Andriyan B.
Format:	Artikel
Sprache:	eng
Schlagworte:	Astronomy Compressibility Computational fluid dynamics Cosmology Distortion Interpolation Inverse Numerical analysis Polynomials Sampling Turbulence
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

container_end_page	926
container_issue	1
container_start_page	919
container_title	Monthly notices of the Royal Astronomical Society
container_volume	443
creator	Suksmono, Andriyan B.
description	We propose a new point spread function (PSF) interpolation method based on compressive sampling (CS). Complex-Valued fractional Brownion motion (CV-fBm) field is used as a model of the PSF spatial distribution. The 1/f property of the fBm implies that it is a compressible field; therefore, CS will be able to fully reconstruct the field based on a small number of random samples. Performance evaluation shows the advantages of the proposed method over boxcar filtering, polynomial fitting, inverse distance weighting, and thin-plate methods. Potential applicability of the proposed method in weak gravitational lensing survey, particularly for interpolating fast varying PSF that represent distortion by turbulent field is also discussed.
doi_str_mv	10.1093/mnras/stu1169
format	Article
fullrecord	<record><control><sourceid>proquest_TOX</sourceid><recordid>TN_cdi_proquest_miscellaneous_1671572879</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><oup_id>10.1093/mnras/stu1169</oup_id><sourcerecordid>1671572879</sourcerecordid><originalsourceid>FETCH-LOGICAL-c364t-d32d7a0830c45fcba3f7b9c7550d5d977071cba3b7044287dde77fefaf66f11a3</originalsourceid><addsrcrecordid>eNqF0c9LwzAUB_AgCs7p0XvAi5e6pGmS9SjD6WCgoB6lpPkhnW1S89rJ_nu7HyB42Sm88HmP9_gidE3JHSU5mzQ-KphA11Mq8hM0okzwJM2FOEUjQhhPppLSc3QBsCKEZCwVI_Sx8J2NbahVVwWPg8Mvr3NcKrAGD7UOTRstQLW2GFTT1pX_xMobXHWAVTvUet9Yefxj1ReurYetgT6u7eYSnTlVg706vGP0Pn94mz0ly-fHxex-mWgmsi4xLDVSkSkjOuNOl4o5WeZack4MN7mURNLtbylJlqVTaYyV0lmnnBCOUsXG6HY_t43hu7fQFU0F2ta18jb0UFAhKZdDZ36cckEoZTwVA735R1ehj344ZFDZVBJOdirZKx0DQLSuaGPVqLgpKCm2uRS7XIpDLn8LhL49Qn8Bl-GQrQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1548705026</pqid></control><display><type>article</type><title>Interpolation of PSF based on compressive sampling and its application in weak lensing survey</title><source>Oxford Journals Open Access Collection</source><creator>Suksmono, Andriyan B.</creator><creatorcontrib>Suksmono, Andriyan B.</creatorcontrib><description>We propose a new point spread function (PSF) interpolation method based on compressive sampling (CS). Complex-Valued fractional Brownion motion (CV-fBm) field is used as a model of the PSF spatial distribution. The 1/f property of the fBm implies that it is a compressible field; therefore, CS will be able to fully reconstruct the field based on a small number of random samples. Performance evaluation shows the advantages of the proposed method over boxcar filtering, polynomial fitting, inverse distance weighting, and thin-plate methods. Potential applicability of the proposed method in weak gravitational lensing survey, particularly for interpolating fast varying PSF that represent distortion by turbulent field is also discussed.</description><identifier>ISSN: 0035-8711</identifier><identifier>EISSN: 1365-2966</identifier><identifier>DOI: 10.1093/mnras/stu1169</identifier><language>eng</language><publisher>London: Oxford University Press</publisher><subject>Astronomy ; Compressibility ; Computational fluid dynamics ; Cosmology ; Distortion ; Interpolation ; Inverse ; Numerical analysis ; Polynomials ; Sampling ; Turbulence</subject><ispartof>Monthly notices of the Royal Astronomical Society, 2014-09, Vol.443 (1), p.919-926</ispartof><rights>2014 The Author Published by Oxford University Press on behalf of the Royal Astronomical Society 2014</rights><rights>Copyright Oxford University Press, UK Sep 1, 2014</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c364t-d32d7a0830c45fcba3f7b9c7550d5d977071cba3b7044287dde77fefaf66f11a3</citedby><cites>FETCH-LOGICAL-c364t-d32d7a0830c45fcba3f7b9c7550d5d977071cba3b7044287dde77fefaf66f11a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,1604,27924,27925</link.rule.ids><linktorsrc>$$Uhttps://dx.doi.org/10.1093/mnras/stu1169$$EView_record_in_Oxford_University_Press$$FView_record_in_$$GOxford_University_Press</linktorsrc></links><search><creatorcontrib>Suksmono, Andriyan B.</creatorcontrib><title>Interpolation of PSF based on compressive sampling and its application in weak lensing survey</title><title>Monthly notices of the Royal Astronomical Society</title><addtitle>Mon. Not. R. Astron. Soc</addtitle><description>We propose a new point spread function (PSF) interpolation method based on compressive sampling (CS). Complex-Valued fractional Brownion motion (CV-fBm) field is used as a model of the PSF spatial distribution. The 1/f property of the fBm implies that it is a compressible field; therefore, CS will be able to fully reconstruct the field based on a small number of random samples. Performance evaluation shows the advantages of the proposed method over boxcar filtering, polynomial fitting, inverse distance weighting, and thin-plate methods. Potential applicability of the proposed method in weak gravitational lensing survey, particularly for interpolating fast varying PSF that represent distortion by turbulent field is also discussed.</description><subject>Astronomy</subject><subject>Compressibility</subject><subject>Computational fluid dynamics</subject><subject>Cosmology</subject><subject>Distortion</subject><subject>Interpolation</subject><subject>Inverse</subject><subject>Numerical analysis</subject><subject>Polynomials</subject><subject>Sampling</subject><subject>Turbulence</subject><issn>0035-8711</issn><issn>1365-2966</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNqF0c9LwzAUB_AgCs7p0XvAi5e6pGmS9SjD6WCgoB6lpPkhnW1S89rJ_nu7HyB42Sm88HmP9_gidE3JHSU5mzQ-KphA11Mq8hM0okzwJM2FOEUjQhhPppLSc3QBsCKEZCwVI_Sx8J2NbahVVwWPg8Mvr3NcKrAGD7UOTRstQLW2GFTT1pX_xMobXHWAVTvUet9Yefxj1ReurYetgT6u7eYSnTlVg706vGP0Pn94mz0ly-fHxex-mWgmsi4xLDVSkSkjOuNOl4o5WeZack4MN7mURNLtbylJlqVTaYyV0lmnnBCOUsXG6HY_t43hu7fQFU0F2ta18jb0UFAhKZdDZ36cckEoZTwVA735R1ehj344ZFDZVBJOdirZKx0DQLSuaGPVqLgpKCm2uRS7XIpDLn8LhL49Qn8Bl-GQrQ</recordid><startdate>20140901</startdate><enddate>20140901</enddate><creator>Suksmono, Andriyan B.</creator><general>Oxford University Press</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope><scope>7TG</scope><scope>KL.</scope></search><sort><creationdate>20140901</creationdate><title>Interpolation of PSF based on compressive sampling and its application in weak lensing survey</title><author>Suksmono, Andriyan B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c364t-d32d7a0830c45fcba3f7b9c7550d5d977071cba3b7044287dde77fefaf66f11a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Astronomy</topic><topic>Compressibility</topic><topic>Computational fluid dynamics</topic><topic>Cosmology</topic><topic>Distortion</topic><topic>Interpolation</topic><topic>Inverse</topic><topic>Numerical analysis</topic><topic>Polynomials</topic><topic>Sampling</topic><topic>Turbulence</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Suksmono, Andriyan B.</creatorcontrib><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><jtitle>Monthly notices of the Royal Astronomical Society</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Suksmono, Andriyan B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Interpolation of PSF based on compressive sampling and its application in weak lensing survey</atitle><jtitle>Monthly notices of the Royal Astronomical Society</jtitle><stitle>Mon. Not. R. Astron. Soc</stitle><date>2014-09-01</date><risdate>2014</risdate><volume>443</volume><issue>1</issue><spage>919</spage><epage>926</epage><pages>919-926</pages><issn>0035-8711</issn><eissn>1365-2966</eissn><abstract>We propose a new point spread function (PSF) interpolation method based on compressive sampling (CS). Complex-Valued fractional Brownion motion (CV-fBm) field is used as a model of the PSF spatial distribution. The 1/f property of the fBm implies that it is a compressible field; therefore, CS will be able to fully reconstruct the field based on a small number of random samples. Performance evaluation shows the advantages of the proposed method over boxcar filtering, polynomial fitting, inverse distance weighting, and thin-plate methods. Potential applicability of the proposed method in weak gravitational lensing survey, particularly for interpolating fast varying PSF that represent distortion by turbulent field is also discussed.</abstract><cop>London</cop><pub>Oxford University Press</pub><doi>10.1093/mnras/stu1169</doi><tpages>8</tpages></addata></record>
fulltext	fulltext_linktorsrc
identifier	ISSN: 0035-8711
ispartof	Monthly notices of the Royal Astronomical Society, 2014-09, Vol.443 (1), p.919-926
issn	0035-8711 1365-2966
language	eng
recordid	cdi_proquest_miscellaneous_1671572879
source	Oxford Journals Open Access Collection
subjects	Astronomy Compressibility Computational fluid dynamics Cosmology Distortion Interpolation Inverse Numerical analysis Polynomials Sampling Turbulence
title	Interpolation of PSF based on compressive sampling and its application in weak lensing survey
url	https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T19%3A12%3A17IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_TOX&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Interpolation%20of%20PSF%20based%20on%20compressive%20sampling%20and%20its%20application%20in%20weak%20lensing%20survey&rft.jtitle=Monthly%20notices%20of%20the%20Royal%20Astronomical%20Society&rft.au=Suksmono,%20Andriyan%20B.&rft.date=2014-09-01&rft.volume=443&rft.issue=1&rft.spage=919&rft.epage=926&rft.pages=919-926&rft.issn=0035-8711&rft.eissn=1365-2966&rft_id=info:doi/10.1093/mnras/stu1169&rft_dat=%3Cproquest_TOX%3E1671572879%3C/proquest_TOX%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1548705026&rft_id=info:pmid/&rft_oup_id=10.1093/mnras/stu1169&rfr_iscdi=true