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<ri:Resource created="2026-02-17T11:21:16Z" status="active" updated="2026-03-02T20:01:18Z" version="1.2" xmlns:cs="http://www.ivoa.net/xml/ConeSearch/v1.0" xmlns:ri="http://www.ivoa.net/xml/RegistryInterface/v1.0" xmlns:vr="http://www.ivoa.net/xml/VOResource/v1.0" xmlns:vs="http://www.ivoa.net/xml/VODataService/v1.1" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.ivoa.net/xml/ConeSearch/v1.0 http://vo.ari.uni-heidelberg.de/docs/schemata/ConeSearch.xsd http://www.ivoa.net/xml/VOResource/v1.0 http://vo.ari.uni-heidelberg.de/docs/schemata/VOResource.xsd http://www.ivoa.net/xml/VODataService/v1.1 http://vo.ari.uni-heidelberg.de/docs/schemata/VODataService.xsd" xsi:type="vs:CatalogService"><title>Detection limits in the SHINE F150 survey</title><shortName>J/A+A/706/A275</shortName><identifier>ivo://CDS.VizieR/J/A+A/706/A275</identifier><altIdentifier>doi:10.26093/cds/vizier/bc-p2/lchf</altIdentifier><curation><publisher ivo-id="ivo://CDS">CDS</publisher><creator><name>Sabalbal M.</name></creator><creator><name>Absil O.</name></creator><creator><name>Dahlqvist C.-H.</name></creator><creator><name>Delorme P.</name></creator><date role="Updated">2026-03-02T20:01:18Z</date><date role="Created">2026-02-17T11:21:16Z</date><contact><name>CDS support team</name><address>CDS, Observatoire de Strasbourg, 11 rue de l'Universite, F-67000 Strasbourg, France</address><email>cds-question@unistra.fr</email></contact></curation><content><subject>multiple-stars</subject><subject>exoplanets</subject><subject>visible-astronomy</subject><description>In high-contrast imaging, a novel detection algorithm for angular differential imaging (ADI) sequences has recently been introduced: the Regime Switching Model (RSM). This advanced statistical tool enhances the distinction between planetary signals and bright speckles by simultaneously combining multiple ADI-based post-processing techniques. In this study, we apply the RSM algorithm to analyze the F150 sample from the SHINE high-contrast imaging survey carried out with VLT/SPHERE, aiming to enhance detection limits and identify new exoplanet candidates. Additionally, we investigate how environmental conditions influence post-processed noise distributions and detection thresholds. We generate detection maps and contrast curves for 213 observations in the F150 SHINE sample using the RSM algorithm. A clustering approach based on environmental parameters is used to group observations with similar noise characteristics. We propose two methods for defining radial detection thresholds in the RSM maps: fitting a log-normal distribution to the post-processed noise and maximizing the F1 score. We also assess the performance of various combinations of post-processing techniques within the RSM framework to identify optimal configurations. This study demonstrates the utility of clustering based on observational parameters, effectively distinguishing features like wind-driven halos and low-wind effects. Detection thresholds vary significantly across clusters, differing by up to a factor of 10, highlighting the importance of considering observational environments. Log-normal thresholds provide conservative, noise-aware limits, while F1 score-based thresholds offer observation-specific results, both showing compatibility overall. RSM improves detection limits by an average factor of two at arcsec and five at inner working angles compared to standard PCA processing. This study reports more than 30 newly detected signals, including one promising candidate awaiting second-epoch confirmation.</description><source format="bibcode">2026A&amp;A...706A.275S</source><referenceURL>https://cdsarc.cds.unistra.fr/viz-bin/cat/J/A+A/706/A275</referenceURL><type>Catalog</type><contentLevel>Research</contentLevel><relationship><relationshipType>IsServedBy</relationshipType><relatedResource ivo-id="ivo://CDS.VizieR/TAP">TAP VizieR generic service</relatedResource></relationship><relationship><relationshipType>IsServedBy</relationshipType><relatedResource>Conesearch service</relatedResource></relationship></content><rights>https://cds.unistra.fr/vizier-org/licences_vizier.html</rights><capability><interface xsi:type="vr:WebBrowser"><accessURL use="full">https://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/A+A/706/A275</accessURL><mirrorURL title="VizieR at IUCAA: Pune, India">https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/A+A/706/A275</mirrorURL><mirrorURL title="VizieR at SAAO: SAAO, South Africa">http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/A+A/706/A275</mirrorURL></interface></capability><capability><interface xsi:type="vs:ParamHTTP"><accessURL use="base">https://vizier.cds.unistra.fr/viz-bin/votable?-source=J/A+A/706/A275</accessURL><mirrorURL title="VizieR at IUCAA: Pune, India">https://vizier.iucaa.in/viz-bin/votable?-source=J/A+A/706/A275</mirrorURL><mirrorURL title="VizieR at SAAO: SAAO, South Africa">http://vizieridia.saao.ac.za/viz-bin/votable?-source=J/A+A/706/A275</mirrorURL><queryType>GET</queryType><resultType>text/xml+votable</resultType></interface></capability><capability standardID="ivo://ivoa.net/std/TAP#aux"><interface xsi:type="vs:ParamHTTP" role="std"><accessURL use="base">https://tapvizier.cds.unistra.fr/TAPVizieR/tap</accessURL></interface></capability><capability xsi:type="cs:ConeSearch" standardID="ivo://ivoa.net/std/ConeSearch"><description>Cone search capability for table J/A+A/706/A275/tablea1 (Observing conditions of all F150 SHINE sample used in the paper)</description><interface xsi:type="vs:ParamHTTP" role="std"><accessURL use="base">https://vizier.cds.unistra.fr/viz-bin/conesearch/J/A+A/706/A275/tablea1?</accessURL><mirrorURL title="VizieR at IUCAA: Pune, India">https://vizier.iucaa.in/viz-bin/conesearch/J/A+A/706/A275/tablea1?</mirrorURL><mirrorURL title="VizieR at SAAO: SAAO, South Africa">http://vizieridia.saao.ac.za/viz-bin/conesearch/J/A+A/706/A275/tablea1?</mirrorURL><queryType>GET</queryType><resultType>text/xml+votable</resultType></interface><maxSR>180.0</maxSR><maxRecords>50000</maxRecords><verbosity>true</verbosity><testQuery><ra>332.0958806</ra><dec>-32.98847</dec><sr>0.005555555555555556</sr></testQuery></capability><coverage><spatial>6/8717 12436 12848 16393 17552 17887 18797 19509 20125 20505 21050 21289 21788 22146 22277 22773 22964 23895 25015 25793 26924 27392 27735 28784 28810 29569 29993 29999 30419 30477 30655 30793 30826 31130 31281 32891 33312 33361 33449 33850 34054 34244-34245 34436 34683 34733 34823 34825 34830 34886 34909 34930 35077 35497 35861 36036 36308 36664 36969 37006 37012 37175 37186 37414 37968 37973 38223 38272 38489 38687 38800 38936 38950 39019 39044 39123 39132 39162 39284 39489 39579 39735 40717 41591 41641 41652 41759 42072 42096 42101 42252 42401 42425 42493 42601 42677 42708 42754 42808 42913 42916 43014 43097 43130 43177 43259 43276 43377 43402 43676-43677 44069 44363 44669 45152 45247 45351 45746 45927 46084 46113 46383 46922 46925 46939 46982 47120 47205 47209 47287 47366 47598 47626 47703 47740 47863 47941 47943 48045 48163 48546 48559</spatial><footprint ivo-id="ivo://ivoa.net/std/moc">https://cdsarc.cds.unistra.fr/viz-bin/moc/J/A+A/706/A275?format=ascii</footprint><waveband>Optical</waveband></coverage><tableset><schema><name>default</name><table><name>J/A+A/706/A275/tablea1</name><description>Observing conditions of all F150 SHINE sample used in the paper</description><column><name>recno</name><description>Record number assigned by the VizieR team. 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