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Catalogs of Cosmologically Useful Type Ia Supernovae from Pan-STARRS ("PS1COSMO")

Jones et al. 2018, ApJ, accpeted | Scolnic et al. 2018, ApJ, accepted
Questions? Contact David Jones (david.jones@ucsc.edu) and Dan Scolnic (dscolnic@kicp.uchicago.edu)

Introduction

Description of Data Products

Data Access

Download README: Jones | Scolnic


Introduction

The PS1+low-z Hubble diagram with low-z SNe Ia, spectroscopically classified SNe Ia, and photometrically classified SNe. The data that appear much fainter than ΛCDM (black line) are likely CCSN contaminants. We use 1,369 SNe to measure cosmological parameters. From Jones et al. (2018).
Confidence contours from the Pantheon analysis at 68% and 95% for the Ω_m and w cosmological parameters for the wCDM model. Constraints from CMB (blue), SN - with systematic uncertainties (red), SN - with only statistical uncertainties (gray-line), and SN+CMB (black) are shown. From Scolnic et al. (2018).
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 1,169 Pan-STARRS SNe without spectroscopic classifications. Approximately 95% of these 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. You can refer to the full collection of PS1COSMO data products in papers or webpages using the DOI http://dx.doi.org/10.17909/T95Q4X.

Description of Data Products

Jones et al.

The Jones et al. data products include light curves in both FITS and SNANA formats, spectra of the host galaxies from a number of ground-based telescopes, a catalog of supernovae and host galaxy properties, and several types of statistical and input parameter files. The files are organized into subdirectories as follows:

  • beams/*.out - measurements and uncertainties for every free parameter contained in the liklihood models
  • beams/*.covmat - 25x25 covariance matrix for the SN Ia distance estimates at each redshift control point
  • cosmomcinputs/{*.covmat, *lcparams.txt} - input distances and covariance matrices for statistics only ("stat") and statistics+systematics ("all"), which can be fed into CosmoMC to produce the Jones et al. cosmological parameters
  • fitres/*filtres.txt - SNANA-format FITRES (fit result) files for each systematic after applying the SALT2.4 model
  • host_spec/ - contains 1D spectra of host galaxies from ground-based telescopes (AAT, APO 3.5m, MMT, SDSS, WIYN)
  • lightcurves/{*lc.fits, *snana.dat} - contains 4-filter PanSTARRS light curves, in both FITS and SNANA format
  • hlsp_ps1cosmo_panstarrs_gpc1_all_multi_v1_snparams.txt - supernova catalog that includes redshifts and host galaxy parameters

Scolnic et al.

The Scolnic et al. data products include model results and statistics along with the catalog of light curve parameters, organized into several different subdirectories as follows:

  • binned_data/*lcparam.txt - Binned distance estimates over redshift for a compressed version of the dataset
  • binned_data/*sys.txt - Systematic error matrix for the binned dataset
  • data_fitres/*.fitres - Full output tables from the SNANA fitter of fitted parameters and other properties of the light curves
  • sim_fitres/*.fitres - Output tables of Panthon-like simulated fitres files. A readme file (*readme.txt) is also included in this directory
  • spec_summary/*spec-summary.txt - Catalog of new supernovae from PanSTARRS
  • hlsp_ps1cosmo_panstarrs_gpc1_all_model_v1_lcparam-full.txt - Catalog of 1,048 supernovae used to measure the dark energy equation of state
  • hlsp_ps1cosmo_panstarrs_gpc1_all_model_v1_sys-full.txt - Systematic error matrix for the full catalog
In addition to these data files, a GitHub repository containing software input files and instructions for running is CosmoMC is available. Note that some of the data files in that GitHub repository have different file names than the ones archived at MAST.

Data Access

Interactive tables of the supernovae are available for both the Jones et al. and Scolnic et al. collections. These tables are sortable, filterable, and also provide download links to the various data products from each collection.