SNe Ia light curves for the LSQ-CSP sample

DOI

The La Silla/QUEST Variability Survey (LSQ) and the Carnegie Supernova Project (CSP II) are collaborating to discover and obtain photometric light curves for a large sample of low-redshift (z<0.1) Type Ia supernovae (SNe Ia). The supernovae are discovered in the LSQ survey using the 1m ESO Schmidt telescope at the La Silla Observatory with the 10 square degree QUEST camera. The follow-up photometric observations are carried out using the 1m Swope telescope and the 2.5m du Pont telescopes at the Las Campanas Observatory. This paper describes the survey, discusses the methods of analyzing the data, and presents the light curves for the first 31 SNe Ia obtained in the survey. The SALT 2.4 supernova light-curve fitter was used to analyze the photometric data, and the Hubble diagram for this first sample is presented. The measurement errors for these supernovae averaged 4%, and their intrinsic spread was 14%.

Cone search capability for table J/ApJS/219/13/table3 (Parameters for the La Silla/QUEST Variability Survey-Carnegie Supernova Project (LSQ-CSP) supernova sample)

Identifier
DOI http://doi.org/10.26093/cds/vizier.22190013
Source https://dc.g-vo.org/rr/q/lp/custom/CDS.VizieR/J/ApJS/219/13
Related Identifier https://cdsarc.cds.unistra.fr/viz-bin/cat/J/ApJS/219/13
Related Identifier http://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/ApJS/219/13
Metadata Access http://dc.g-vo.org/rr/q/pmh/pubreg.xml?verb=GetRecord&metadataPrefix=oai_b2find&identifier=ivo://CDS.VizieR/J/ApJS/219/13
Provenance
Creator Walker E.S.; Baltay C.; Campillay A.; Citrenbaum C.; Contreras C.,Ellman N.; Feindt U.; Gonzalez C.; Graham M.L.; Hadjiyska E.; Hsiao E.Y.,Krisciunas K.; McKinnon R.; Ment K.; Morrell N.; Nugent P.; Phillips M.M.,Rabinowitz D.; Rostami S.; Seron J.; Stritzinger M.; Sullivan M.,Tucker B.E.
Publisher CDS
Publication Year 2015
Rights https://cds.unistra.fr/vizier-org/licences_vizier.html
OpenAccess true
Contact CDS support team <cds-question(at)unistra.fr>
Representation
Resource Type Dataset; AstroObjects
Discipline Astrophysics and Astronomy; Cosmology; Natural Sciences; Observational Astronomy; Physics; Stellar Astronomy