Automatic Determination of Wind Profiles with Generalized SCIDAR
We present an iterative, potentially automated method for deriving wind profiles from generalized scintillation detection and ranging (SCIDAR) measurements, which can work in a nonsupervised mode. It is an extension of our CLEAN‐based method previously developed for \documentclass{aastex} \usepackag...
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Veröffentlicht in: | Publications of the Astronomical Society of the Pacific 2004-08, Vol.116 (822), p.778-789 |
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creator | Prieur, J.‐L. Avila, R. Daigne, G. Vernin, J. |
description | We present an iterative, potentially automated method for deriving wind profiles from generalized scintillation detection and ranging (SCIDAR) measurements, which can work in a nonsupervised mode. It is an extension of our CLEAN‐based method previously developed for
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profile determination. The algorithm is based on a morphological analysis of the cross‐correlation function of consecutive scintillation irradiance frames, with the introduction of some knowledge from the
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profiles, which are determined from the autocorrelation of those frames. This method was successfully tested on data from the site‐testing observations made at San Pedro Mártir in 2000, even for the most difficult cases. |
doi_str_mv | 10.1086/423161 |
format | Article |
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profile determination. The algorithm is based on a morphological analysis of the cross‐correlation function of consecutive scintillation irradiance frames, with the introduction of some knowledge from the
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profiles, which are determined from the autocorrelation of those frames. This method was successfully tested on data from the site‐testing observations made at San Pedro Mártir in 2000, even for the most difficult cases.</description><identifier>ISSN: 0004-6280</identifier><identifier>EISSN: 1538-3873</identifier><identifier>DOI: 10.1086/423161</identifier><identifier>CODEN: PASPAU</identifier><language>eng</language><publisher>Chicago, IL: The University of Chicago Press</publisher><subject>Algorithms ; Altitude ; Artificial satellites ; Astronomy ; Astrophysics ; Atmospheric optics ; Autocorrelation ; Earth, ocean, space ; Exact sciences and technology ; External geophysics ; Fundamental astronomy and astrophysics. Instrumentation, techniques, and astronomical observations ; Observatories and site testing ; Sciences of the Universe ; Scintillation ; Telescopes ; Turbulence ; Wind profiles ; Wind velocity</subject><ispartof>Publications of the Astronomical Society of the Pacific, 2004-08, Vol.116 (822), p.778-789</ispartof><rights>2004. The Astronomical Society of the Pacific. All rights reserved. Printed in U.S.A.</rights><rights>2004 INIST-CNRS</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c345t-61a822474dbe758e9d96559d10768d15bfa55beca2f96174b0db9127986b6633</citedby><cites>FETCH-LOGICAL-c345t-61a822474dbe758e9d96559d10768d15bfa55beca2f96174b0db9127986b6633</cites><orcidid>0000-0003-0612-2431</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,799,881,27901,27902</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=16040447$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-00416873$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Prieur, J.‐L.</creatorcontrib><creatorcontrib>Avila, R.</creatorcontrib><creatorcontrib>Daigne, G.</creatorcontrib><creatorcontrib>Vernin, J.</creatorcontrib><title>Automatic Determination of Wind Profiles with Generalized SCIDAR</title><title>Publications of the Astronomical Society of the Pacific</title><description>We present an iterative, potentially automated method for deriving wind profiles from generalized scintillation detection and ranging (SCIDAR) measurements, which can work in a nonsupervised mode. It is an extension of our CLEAN‐based method previously developed for
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profile determination. The algorithm is based on a morphological analysis of the cross‐correlation function of consecutive scintillation irradiance frames, with the introduction of some knowledge from the
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profiles, which are determined from the autocorrelation of those frames. This method was successfully tested on data from the site‐testing observations made at San Pedro Mártir in 2000, even for the most difficult cases.</description><subject>Algorithms</subject><subject>Altitude</subject><subject>Artificial satellites</subject><subject>Astronomy</subject><subject>Astrophysics</subject><subject>Atmospheric optics</subject><subject>Autocorrelation</subject><subject>Earth, ocean, space</subject><subject>Exact sciences and technology</subject><subject>External geophysics</subject><subject>Fundamental astronomy and astrophysics. Instrumentation, techniques, and astronomical observations</subject><subject>Observatories and site testing</subject><subject>Sciences of the Universe</subject><subject>Scintillation</subject><subject>Telescopes</subject><subject>Turbulence</subject><subject>Wind profiles</subject><subject>Wind velocity</subject><issn>0004-6280</issn><issn>1538-3873</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2004</creationdate><recordtype>article</recordtype><recordid>eNp10N9LwzAQB_AgCs6pf0NAFHyo5pofTd8sm26DgaIDH0vaJCyja0ZSFf3r7ajok0_HHZ87uC9C50BugEhxy1IKAg7QCDiVCZUZPUQjQghLRCrJMTqJcUMIgAQyQnfFW-e3qnM1nprOhK1r-8a32Fv86lqNn4K3rjERf7hujWemNUE17sto_DJZTIvnU3RkVRPN2U8do9XD_WoyT5aPs8WkWCY1ZbxLBCiZpixjujIZlybXueA810AyITXwyirOK1Or1OYCMlYRXeWQZrkUlRCUjtH1cHatmnIX3FaFz9IrV86LZbmf9f-B6H99h95eDbYOPsZg7O8CkHIfUTlE1MPLAe5UrFVjg2prF_-0IIwwlvXuYnCb2Pnw37VvI5VtTw</recordid><startdate>20040801</startdate><enddate>20040801</enddate><creator>Prieur, J.‐L.</creator><creator>Avila, R.</creator><creator>Daigne, G.</creator><creator>Vernin, J.</creator><general>The University of Chicago Press</general><general>University of Chicago Press</general><general>Astronomical Society of the Pacific</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0003-0612-2431</orcidid></search><sort><creationdate>20040801</creationdate><title>Automatic Determination of Wind Profiles with Generalized SCIDAR</title><author>Prieur, J.‐L. ; Avila, R. ; Daigne, G. ; Vernin, J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c345t-61a822474dbe758e9d96559d10768d15bfa55beca2f96174b0db9127986b6633</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Algorithms</topic><topic>Altitude</topic><topic>Artificial satellites</topic><topic>Astronomy</topic><topic>Astrophysics</topic><topic>Atmospheric optics</topic><topic>Autocorrelation</topic><topic>Earth, ocean, space</topic><topic>Exact sciences and technology</topic><topic>External geophysics</topic><topic>Fundamental astronomy and astrophysics. Instrumentation, techniques, and astronomical observations</topic><topic>Observatories and site testing</topic><topic>Sciences of the Universe</topic><topic>Scintillation</topic><topic>Telescopes</topic><topic>Turbulence</topic><topic>Wind profiles</topic><topic>Wind velocity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Prieur, J.‐L.</creatorcontrib><creatorcontrib>Avila, R.</creatorcontrib><creatorcontrib>Daigne, G.</creatorcontrib><creatorcontrib>Vernin, J.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>Publications of the Astronomical Society of the Pacific</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Prieur, J.‐L.</au><au>Avila, R.</au><au>Daigne, G.</au><au>Vernin, J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Automatic Determination of Wind Profiles with Generalized SCIDAR</atitle><jtitle>Publications of the Astronomical Society of the Pacific</jtitle><date>2004-08-01</date><risdate>2004</risdate><volume>116</volume><issue>822</issue><spage>778</spage><epage>789</epage><pages>778-789</pages><issn>0004-6280</issn><eissn>1538-3873</eissn><coden>PASPAU</coden><abstract>We present an iterative, potentially automated method for deriving wind profiles from generalized scintillation detection and ranging (SCIDAR) measurements, which can work in a nonsupervised mode. It is an extension of our CLEAN‐based method previously developed for
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profile determination. The algorithm is based on a morphological analysis of the cross‐correlation function of consecutive scintillation irradiance frames, with the introduction of some knowledge from the
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profiles, which are determined from the autocorrelation of those frames. This method was successfully tested on data from the site‐testing observations made at San Pedro Mártir in 2000, even for the most difficult cases.</abstract><cop>Chicago, IL</cop><pub>The University of Chicago Press</pub><doi>10.1086/423161</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0003-0612-2431</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Algorithms Altitude Artificial satellites Astronomy Astrophysics Atmospheric optics Autocorrelation Earth, ocean, space Exact sciences and technology External geophysics Fundamental astronomy and astrophysics. Instrumentation, techniques, and astronomical observations Observatories and site testing Sciences of the Universe Scintillation Telescopes Turbulence Wind profiles Wind velocity |
title | Automatic Determination of Wind Profiles with Generalized SCIDAR |
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