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<ri:Resource created="2019-09-23T12:48:48Z" status="active" updated="2025-06-13T15:25:00Z" 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>A compilation of 128 galaxy-galaxy strong-lens systems</title><shortName>J/ApJ/864/91</shortName><identifier>ivo://CDS.VizieR/J/ApJ/864/91</identifier><altIdentifier>doi:10.26093/cds/vizier.18640091</altIdentifier><curation><publisher ivo-id="ivo://CDS">CDS</publisher><creator><name>Shu Y.</name></creator><creator><name>Bolton A.S.</name></creator><creator><name>Mao S.</name></creator><creator><name>Kang Xi</name></creator><creator><name>Li G.</name></creator><creator><name>Soraisam M.</name></creator><date role="Updated">2021-11-03T13:33:10Z</date><date role="Created">2019-09-23T12:48:48Z</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>gravitational-lensing</subject><subject>redshifted</subject><subject>surveys</subject><subject>visible-astronomy</subject><subject>supernovae</subject><description>We propose a new strategy of finding strongly lensed supernovae (SNe) by monitoring known galaxy-scale strong-lens systems. Strongly lensed SNe are potentially powerful tools for the study of cosmology, galaxy evolution, and stellar populations, but they are extremely rare. By targeting known strongly lensed star-forming galaxies, our strategy significantly boosts the detection efficiency for lensed SNe compared to a blind search. As a reference sample, we compile the 128 galaxy-galaxy strong-lens systems from the Sloan Lens ACS Survey (SLACS), the SLACS for the Masses Survey, and the Baryon Oscillation Spectroscopic Survey Emission-Line Lens Survey. Within this sample, we estimate the rates of strongly lensed Type Ia SN (SNIa) and core-collapse SN (CCSN) to be 1.23+/-0.12 and 10.4+/-1.1 events per year, respectively. The lensed SN images are expected to be widely separated with a median separation of 2". Assuming a conservative fiducial lensing magnification factor of 5 for the most highly magnified SN image, we forecast that a monitoring program with a single-visit depth of 24.7mag (5{sigma} point source, r band) and a cadence of 5days can detect 0.49 strongly lensed SNIa event and 2.1 strongly lensed CCSN events per year within this sample. Our proposed targeted-search strategy is particularly useful for prompt and efficient identifications and follow-up observations of strongly lensed SN candidates. It also allows telescopes with small fields of view and limited time to efficiently discover strongly lensed SNe with a pencil-beam scanning strategy.</description><source format="bibcode">2018ApJ...864...91S</source><referenceURL>https://cdsarc.cds.unistra.fr/viz-bin/cat/J/ApJ/864/91</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><relationship><relationshipType>related-to</relationshipType><relatedResource ivo-id="ivo://CDS.VizieR/J/AJ/127/2002">J/AJ/127/2002 : Star Formation Rate of NFGS galaxies (Kewley+, 2004)</relatedResource><relatedResource ivo-id="ivo://CDS.VizieR/J/ApJ/682/964">J/ApJ/682/964 : Sloan lens ACS survey. V. 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