Catalogs of Cosmologically Useful Type Ia Supernovae from Pan-STARRS ("PS1COSMO")
Abstract
The Pan-STARRS Supernova (PS1 SN) Cosmology data release contains light curves, host galaxy spectra, light curve parameters, distance measurements, and cosmology fitter input files that can be used to measure the dark energy equation of state using two PS1 SN datasets. The first dataset (Scolnic et al. 2018) is the Pantheon sample, which combines spectroscopically classified PS1 SNe Ia with Sloan Digital Sky Survey, SuperNova Legacy Survey, and Low-z SNe Ia. These SNe were used to measure the dark energy equation of state in Scolnic et al. (2018), who find a value of -1.026 +/- 0.041. The second dataset (Jones et al. 2018) includes 1,174 Pan-STARRS SNe without spectroscopic classifications. Approximately 95% of these data SNe are of Type Ia, with the remainder being Core-Collapse (CC) SNe. Jones et al. (2018) use a Bayesian methodology to marginalize over CC SNe in these data and, after combining the sample with low-z SNe Ia, measure the dark energy equation of state to be -0.989 +/- 0.057.
- Publication:
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MAST High-Level Science Product
- Pub Date:
- March 2018
- DOI:
- Bibcode:
- 2018mast.data....1J
- Keywords:
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- Pan-STARRS;
- AAT;
- SDSS;
- MMT;
- WIYN;
- APO 3.5m;
- Catalog