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Title: Measuring Dark Energy Properties with Photometrically Classified Pan-STARRS Supernovae. II. Cosmological Parameters

Journal Article · · The Astrophysical Journal (Online)
ORCiD logo [1];  [2];  [3];  [3];  [4]; ORCiD logo [5]; ORCiD logo [2];  [1];  [1];  [6];  [7];  [5]; ORCiD logo [8]; ORCiD logo [8]; ORCiD logo [9]; ORCiD logo [8]; ORCiD logo [8]; ORCiD logo [8];  [8]; ORCiD logo [9] more »; ORCiD logo [8]; ORCiD logo [8]; ORCiD logo [8];  [10]; ORCiD logo [11];  [12]; ORCiD logo [12];  [12] « less
  1. Univ. of California, Santa Cruz, CA (United States)
  2. Univ. of Chicago, IL (United States). Kavli Inst. for Cosmological Physics
  3. Johns Hopkins Univ., Baltimore, MD (United States). Dept. of Physics and Astronomy; Space Telescope Science Inst., Baltimore, MD (United States)
  4. Harvard-Smithsonian Center for Astrophysics, Cambridge, MA (United States); Harvard Univ., Cambridge, MA (United States)
  5. Harvard-Smithsonian Center for Astrophysics, Cambridge, MA (United States)
  6. Ohio Univ., Athens, OH (United States). Astrophysical Inst.
  7. Johns Hopkins Univ., Baltimore, MD (United States). Dept. of Physics and Astronomy
  8. Univ. of Hawaii at Manoa, Honolulu, HI (United States). Inst. for Astronomy
  9. Durham Univ. (United Kingdom)
  10. Queen's Univ., Belfast, Northern Ireland (United Kingdom); Max-Planck-Inst. für Astrophysik, Garching (Germany)
  11. Queen's Univ., Belfast, Northern Ireland (United Kingdom); Tuorlan Observatorio, Piikkiö (Finland)
  12. Queen's Univ., Belfast, Northern Ireland (United Kingdom)
+ Show Author Affiliations

We use 1169 Pan-STARRS supernovae (SNe) and 195 low-z (z <0.1) SNe Ia to measure cosmological parameters. Though most Pan-STARRS SNe lack spectroscopic classifications, in a previous paper(I) we demonstrated that photometrically classified SNe can be used to infer unbiased cosmological parameters by using a Bayesian methodology that marginalizes over core-collapse (CC) SN contamination. Our sample contains nearly twice as many SNe as the largest previous SN Ia compilation.Combining SNe with Cosmic Microwave Background (CMB) constraints from Planck, we measure the dark energy equation of state parameter w to be -0.989±0.057 (stat+sys). If w evolves with redshift as w(a) =w0+wa(1-α), we find w 0=-0.912 ± 0.149 and wa= -0.513 ± 0.826. These results are consistent with cosmological parameters from the Joint Light-curve Analysis and the Pantheon sample.We try four different photometric classification priors for Pan-STARRS SNe and two alternate ways of modeling CC SN contamination, finding that no variant gives a w differing by more than 2% from the baseline measurement. The systematic uncertainty on w due to marginalizing over CC SN contamination, σ$$^{CC}_{w}$$=0.012, is the third-smallest source of systematic uncertainty in this work. We find limited(1.6σ) evidence for evolution of the SN color-luminosity relation with redshift, a possible systematic that could constitute a significant uncertainty in future high-z analyses. Our data provide one of the best current constraints on w, demonstrating that samples with~5% CC SN contamination can give competitive cosmological constraints when the contaminating distribution is marginalized over in a Bayesian framework

Research Organization:
Univ. of Chicago, IL (United States)
Sponsoring Organization:
USDOE Office of Science (SC), High Energy Physics (HEP); National Science Foundation (NSF); National Aeronautics and Space Administration (NASA); Alfred P. Sloan Foundation; Lucile Packard Foundation
Grant/Contract Number:
SC0009924; 14-WPS14-0048; AST-1518052; NSF PHY-1125897; NAS 5-2655514-WPS14-0048; HST-HF2-51383.001
OSTI ID:
1594030
Journal Information:
The Astrophysical Journal (Online), Vol. 857, Issue 1; ISSN 1538-4357
Publisher:
Institute of Physics (IOP)Copyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 97 works
Citation information provided by
Web of Science

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Cosmology with Photometrically-Classified Type Ia Supernovae from the SDSS-II Supernova Survey text January 2012
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Classifying Supernovae Using Only Galaxy Data text January 2013
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The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: Baryon Acoustic Oscillations in the Data Release 10 and 11 galaxy samples text January 2013
Cosmological Parameter Uncertainties from SALT-II Type Ia Supernova Light Curve Models text January 2014
Ages of Type Ia Supernovae Over Cosmic Time text January 2014
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A 2.4% Determination of the Local Value of the Hubble Constant text January 2016
Planck intermediate results. XLVI. Reduction of large-scale systematic effects in HFI polarization maps and estimation of the reionization optical depth text January 2016
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The Tip of the Red Giant Branch Distances to Type Ia Supernova Host Galaxies. V. NGC 3021, NGC 3370, and NGC 1309 and the value of the Hubble Constant preprint January 2017
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The Complete Light-curve Sample of Spectroscopically Confirmed SNe Ia from Pan-STARRS1 and Cosmological Constraints from the Combined Pantheon Sample journal May 2018
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Extending Supernova Spectral Templates for Next-generation Space Telescope Observations journalarticle January 2018
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The Photometric LSST Astronomical Time-series Classification Challenge PLAsTiCC: Selection of a Performance Metric for Classification Probabilities Balancing Diverse Science Goals text January 2019
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Extending Supernova Spectral Templates for Next-generation Space Telescope Observations journal October 2018
Limits on stellar-mass compact objects as dark matter from gravitational lensing of type Ia supernovae text January 2017
The Foundation Supernova Survey: Measuring Cosmological Parameters with Supernovae from a Single Telescope text January 2018
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