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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) =w 0+w a(1-α), we find w 0=-0.912 ± 0.149 and w a= -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
  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) (SC-25); 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

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.
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. doi:10.3847/1538-4357/aab6b1.
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. doi:10.3847/1538-4357/aab6b1. https://www.osti.gov/servlets/purl/1594030.
@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 = {2018},
month = {4}
}

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