English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

We analyze the three-year SDSS-II Superernova (SN) Survey data and identify asample of 1070 photometric SN Ia candidates based on their multi-band lightcurve data. This sample consists of SN candidates with no spectroscopicconfirmation, with a subset of 210 candidates having spectroscopic redshifts oftheir host galaxies measured, while the remaining 860 candidates are purelyphotometric in their identification. We describe a method for estimating theefficiency and purity of photometric SN Ia classification when spectroscopicconfirmation of only a limited sample is available, and demonstrate that SN Iacandidates from SDSS-II can be identified photometrically with ~91% efficiencyand with a contamination of ~6%. Although this is the largest uniform sample ofSN candidates to date for studying photometric identification, we find that alarger spectroscopic sample of contaminating sources is required to obtain abetter characterization of the background events. A Hubble diagram using SNcandidates with no spectroscopic confirmation, but with host galaxyspectroscopic redshifts, yields a distance modulus dispersion that is only ~20- 40% larger than that of the spectroscopically-confirmed SN Ia sample alonewith no significant bias. A Hubble diagram with purely photometricclassification and redshift-distance measurements, however, exhibit biases thatrequire further investigation for precision cosmology.

Photometric SN Ia Candidates from the Three-Year SDSS-II SN Survey Data