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

被引:115
作者
Jones, D. O. [1 ]
Scolnic, D. M. [2 ]
Riess, A. G. [3 ,4 ]
Rest, A. [3 ,4 ]
Kirshner, R. P. [5 ,6 ]
Berger, E. [5 ]
Kessler, R. [2 ]
Pan, Y. -C. [1 ]
Foley, R. J. [1 ]
Chornock, R. [7 ]
Ortega, C. A. [3 ]
Challis, P. J. [5 ]
Burgett, W. S. [8 ]
Chambers, K. C. [8 ]
Draper, P. W. [9 ]
Flewelling, H. [8 ]
Huber, M. E. [8 ]
Kaiser, N. [8 ]
Kudritzki, R. -P. [8 ]
Metcalfe, N. [9 ]
Tonry, J. [8 ]
Wainscoat, R. J. [8 ]
Waters, C. [8 ]
Gall, E. E. E. [10 ,11 ]
Kotak, R. [10 ,12 ]
McCrum, M. [10 ]
Smartt, S. J. [10 ]
Smith, K. W. [10 ]
机构
[1] Univ Calif Santa Cruz, Dept Astron & Astrophys, Santa Cruz, CA 92064 USA
[2] Univ Chicago, Kavli Inst Cosmol Phys, Chicago, IL 60637 USA
[3] Johns Hopkins Univ, Dept Phys & Astron, Baltimore, MD 21218 USA
[4] Space Telescope Sci Inst, 3700 San Martin Dr, Baltimore, MD 21218 USA
[5] Harvard Smithsonian Ctr Astrophys, 60 Garden St, Cambridge, MA 02138 USA
[6] Harvard Univ, Dept Phys, Cambridge, MA 02138 USA
[7] Ohio Univ, Dept Phys & Astron, Inst Astrophys, Clippinger Lab 251B, Athens, OH 45701 USA
[8] Univ Hawaii, Inst Astron, 2680 Woodlawn Dr, Honolulu, HI 96822 USA
[9] Univ Durham, Dept Phys, South Rd, Durham DH1 3LE, England
[10] Queens Univ Belfast, Sch Math & Phys, Astrophys Res Ctr, Belfast BT7 1NN, Antrim, North Ireland
[11] Max Planck Inst Astrophys, Karl Schwarzschild Str 1, D-85748 Garching, Germany
[12] Tuorlan Observ, Vaisalantie 20, FI-21500 Piikkio, Finland
基金
美国国家航空航天局; 美国安德鲁·梅隆基金会; 美国国家科学基金会;
关键词
cosmology: observations; dark energy; supernovae: general; HUBBLE-SPACE-TELESCOPE; HOST-GALAXY PROPERTIES; IA SUPERNOVAE; LEGACY SURVEY; LIGHT CURVES; DATA RELEASE; CONSTRAINTS; CALIBRATION; SPECTRA; SAMPLE;
D O I
10.3847/1538-4357/aab6b1
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
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 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)(1 - a), 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, sigma(cc)(w) = 0.012, is the third smallest source of systematic uncertainty in this work. We find limited (1.6 sigma) 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 similar to 5% CC SN contamination can give competitive cosmological constraints when the contaminating distribution is marginalized over in a Bayesian framework.
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页数:27
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