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

Abstract

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

Authors:
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
+ Show Author Affiliations
  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)
Publication Date:
Research Org.:
Univ. of Chicago, IL (United States)
Sponsoring Org.:
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
OSTI Identifier:
1594030
Grant/Contract Number:  
SC0009924; 14-WPS14-0048; AST-1518052; NSF PHY-1125897; NAS 5-2655514-WPS14-0048; HST-HF2-51383.001
Resource Type:
Accepted Manuscript
Journal Name:
The Astrophysical Journal (Online)
Additional Journal Information:
Journal Name: The Astrophysical Journal (Online); Journal Volume: 857; Journal Issue: 1; Journal ID: ISSN 1538-4357
Publisher:
Institute of Physics (IOP)
Country of Publication:
United States
Language:
English
Subject:
79 ASTRONOMY AND ASTROPHYSICS

Citation Formats

Jones, D. O., Scolnic, D. M., Riess, A. G., Rest, A., Kirshner, R. P., Berger, E., Kessler, R., Pan, Y. -C., Foley, R. J., Chornock, R., Ortega, C. A., Challis, P. J., Burgett, W. S., Chambers, K. C., Draper, P. W., Flewelling, H., Huber, M. E., Kaiser, N., Kudritzki, R. -P., Metcalfe, N., Tonry, J., Wainscoat, R. J., Waters, C., Gall, E. E. E., Kotak, R., McCrum, M., Smartt, S. J., and Smith, K. W. Measuring Dark Energy Properties with Photometrically Classified Pan-STARRS Supernovae. II. Cosmological Parameters. United States: N. p., 2018. Web. doi:10.3847/1538-4357/aab6b1.
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Jones, D. O., Scolnic, D. M., Riess, A. G., Rest, A., Kirshner, R. P., Berger, E., Kessler, R., Pan, Y. -C., Foley, R. J., Chornock, R., Ortega, C. A., Challis, P. J., Burgett, W. S., Chambers, K. C., Draper, P. W., Flewelling, H., Huber, M. E., Kaiser, N., Kudritzki, R. -P., Metcalfe, N., Tonry, J., Wainscoat, R. J., Waters, C., Gall, E. E. E., Kotak, R., McCrum, M., Smartt, S. J., & Smith, K. W. Measuring Dark Energy Properties with Photometrically Classified Pan-STARRS Supernovae. II. Cosmological Parameters. United States. https://doi.org/10.3847/1538-4357/aab6b1
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Jones, D. O., Scolnic, D. M., Riess, A. G., Rest, A., Kirshner, R. P., Berger, E., Kessler, R., Pan, Y. -C., Foley, R. J., Chornock, R., Ortega, C. A., Challis, P. J., Burgett, W. S., Chambers, K. C., Draper, P. W., Flewelling, H., Huber, M. E., Kaiser, N., Kudritzki, R. -P., Metcalfe, N., Tonry, J., Wainscoat, R. J., Waters, C., Gall, E. E. E., Kotak, R., McCrum, M., Smartt, S. J., and Smith, K. W. Tue . "Measuring Dark Energy Properties with Photometrically Classified Pan-STARRS Supernovae. II. Cosmological Parameters". United States. https://doi.org/10.3847/1538-4357/aab6b1. https://www.osti.gov/servlets/purl/1594030.
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@article{osti_1594030,
title = {Measuring Dark Energy Properties with Photometrically Classified Pan-STARRS Supernovae. II. Cosmological Parameters},
author = {Jones, D. O. and Scolnic, D. M. and Riess, A. G. and Rest, A. and Kirshner, R. P. and Berger, E. and Kessler, R. and Pan, Y. -C. and Foley, R. J. and Chornock, R. and Ortega, C. A. and Challis, P. J. and Burgett, W. S. and Chambers, K. C. and Draper, P. W. and Flewelling, H. and Huber, M. E. and Kaiser, N. and Kudritzki, R. -P. and Metcalfe, N. and Tonry, J. and Wainscoat, R. J. and Waters, C. and Gall, E. E. E. and Kotak, R. and McCrum, M. and Smartt, S. J. and Smith, K. W.},
abstractNote = {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},
doi = {10.3847/1538-4357/aab6b1},
journal = {The Astrophysical Journal (Online)},
number = 1,
volume = 857,
place = {United States},
year = {Tue Apr 10 00:00:00 EDT 2018},
month = {Tue Apr 10 00:00:00 EDT 2018}
}
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  • Eisenstein, Daniel J.; Zehavi, Idit; Hogg, David W.
  • The Astrophysical Journal, Vol. 633, Issue 2
  • DOI: 10.1086/466512

Planck 2015 results : XXIII. The thermal Sunyaev-Zeldovich effect-cosmic infrared background correlation
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Planck intermediate results: VI. The dynamical structure of PLCKG214.6+37.0, a Planck discovered triple system of galaxy clusters
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The VIMOS-VLT deep survey: Evolution of the galaxy luminosity function up to
journal, August 2005

The Dark Energy Survey
conference, January 2006

  • Sánchez, E.
  • THE DARK SIDE OF THE UNIVERSE: 2nd International Conference on The Dark Side of the Universe DSU 2006, AIP Conference Proceedings
  • DOI: 10.1063/1.2409089

How SN Ia host-galaxy properties affect cosmological parameters
text, January 2016

  • Campbell, H.; Fraser, Morgan; Gilmore, Gerard
  • Apollo - University of Cambridge Repository
  • DOI: 10.17863/cam.714

CfA3: 185 TYPE Ia SUPERNOVA LIGHT CURVES FROM THE CfA
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  • Mark, Everett,; Kyle, Smalley,; Diab, Jerius,
  • The University of North Carolina at Chapel Hill University Libraries
  • DOI: 10.17615/adda-h866

The Dark Energy Survey
conference, May 2012

  • Sevilla, Ignacio
  • Proceedings of XXIst International Europhysics Conference on High Energy Physics — PoS(EPS-HEP2011)
  • DOI: 10.22323/1.134.0080

Confirmation of a Star Formation Bias in Type Ia Supernova Distances and Its Effect on the Measurement of the Hubble Constant
text, January 2015

Cosmology and fundamental physics with the Euclid satellite
text, January 2018

Planck 2015 results : VII. High Frequency Instrument data processing: Time-ordered information and beams
journal, September 2016

Cosmology and fundamental physics with the Euclid satellite
journal, April 2018

  • Amendola, Luca; Appleby, Stephen; Avgoustidis, Anastasios
  • Living Reviews in Relativity, Vol. 21, Issue 1
  • DOI: 10.1007/s41114-017-0010-3

Cosmological parameters from the comparison of peculiar velocities with predictions from the 2M++ density field
journal, June 2014

  • Hudson, Michael J.; Carrick, Jonathan; Turnbull, Stephen J.
  • Proceedings of the International Astronomical Union, Vol. 11, Issue S308
  • DOI: 10.1017/s1743921316010073

H0LiCOW - V. New COSMOGRAIL time delays of HE 0435-1223: H0 to 3.8 per cent precision from strong lensing in a flat ΛCDM model
text, January 2017

  • Bonvin, V.; Courbin, F.; Suyu, Sh
  • Apollo - University of Cambridge Repository
  • DOI: 10.17863/cam.43691

SDSS-II SUPERNOVA SURVEY: AN ANALYSIS of the LARGEST SAMPLE of TYPE IA SUPERNOVAE and CORRELATIONS with HOST-GALAXY SPECTRAL PROPERTIES
text, January 2016

  • Wolf, Rc; D'Andrea, Cb; Gupta, Rr
  • Apollo - University of Cambridge Repository
  • DOI: 10.17863/cam.717

The Carnegie Supernova Project: Analysis of the First Sample of Low-Redshift Type-Ia Supernovae
text, January 2009

Hubble Residuals of Nearby Type Ia Supernovae Are Correlated with Host Galaxy Masses
text, January 2009

The Carnegie Supernova Project: Second Photometry Data Release of Low-Redshift Type Ia Supernovae
text, January 2011

The DEEP2 Galaxy Redshift Survey: Design, Observations, Data Reduction, and Redshifts
text, January 2012

CfA4: Light Curves for 94 Type Ia Supernovae
text, January 2012

Cosmology and fundamental physics with the Euclid satellite
text, January 2012

Cosmology with Photometrically-Classified Type Ia Supernovae from the SDSS-II Supernova Survey
text, January 2012

Planck 2013 results. XVI. Cosmological parameters
text, January 2013

Classifying Supernovae Using Only Galaxy Data
text, January 2013

Ages of Type Ia Supernovae Over Cosmic Time
text, January 2014

Quantifying discordance in the 2015 Planck CMB spectrum
text, January 2015

A 2.4% Determination of the Local Value of the Hubble Constant
text, January 2016

A test of Gaia Data Release 1 parallaxes: implications for the local distance scale
text, January 2016

The Foundation Supernova Survey: Motivation, Design, Implementation, and First Data Release
text, January 2017

Hectospec, the MMT's 300 Optical Fiber-Fed Spectrograph
text, January 2005

An Improved Photometric Calibration of the Sloan Digital Sky Survey Imaging Data
text, January 2007

The Hubble Diagram of the Calan/Tololo Type Ia Supernovae and the value of Ho
text, January 1996

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