TY - JOUR
T1 - Cosmology with photometrically classified type Ia supernovae from the SDSS-II supernova survey
AU - Campbell, Heather
AU - D'Andrea, Chris B.
AU - Nichol, Robert C.
AU - Sako, Masao
AU - Smith, Mathew
AU - Lampeitl, Hubert
AU - Olmstead, Matthew D.
AU - Bassett, Bruce
AU - Biswas, Rahul
AU - Brown, Peter
AU - Cinabro, David
AU - Dawson, Kyle S.
AU - Dilday, Ben
AU - Foley, Ryan J.
AU - Frieman, Joshua A.
AU - Garnavich, Peter
AU - Hlozek, Renee
AU - Jha, Saurabh W.
AU - Kuhlmann, Steve
AU - Kunz, Martin
AU - Marriner, John
AU - Miquel, Ramon
AU - Richmond, Michael
AU - Riess, Adam
AU - Schneider, Donald P.
AU - Sollerman, Jesper
AU - Taylor, Matt
AU - Zhao, Gong Bo
PY - 2013/2/1
Y1 - 2013/2/1
N2 - We present the cosmological analysis of 752 photometrically classified Type Ia Supernovae (SNe Ia) obtained from the full Sloan Digital Sky Survey II (SDSS-II) Supernova (SN) Survey, supplemented with host-galaxy spectroscopy from the SDSS-III Baryon Oscillation Spectroscopic Survey. Our photometric- classification method is based on the SN classification technique of Sako et al., aided by host-galaxy redshifts (0.05 < z < 0.55). SuperNova ANAlysis simulations of our methodology estimate that we have an SN Ia classification efficiency of 70.8%, with only 3.9% contamination from core-collapse (non-Ia) SNe. We demonstrate that this level of contamination has no effect on our cosmological constraints. We quantify and correct for our selection effects (e.g., Malmquist bias) using simulations. When fitting to a flat ΛCDM cosmological model, we find that our photometric sample alone gives Ωm = 0.24+0.07-0.05 (statistical errors only). If we relax the constraint on flatness, then our sample provides competitive joint statistical constraints on Ωm and ΩΛ, comparable to those derived from the spectroscopically confirmed Three-year Supernova Legacy Survey (SNLS3). Using only our data, the statistics-only result favors an accelerating universe at 99.96% confidence. Assuming a constant wCDM cosmological model, and combining with H0, cosmic microwave background, and luminous red galaxy data, we obtain w = -0.96+0.10 -0.10, Ωm = 0.29+0.02-0.02, and Ωk = 0.00 +0.03-0.02 (statistical errors only), which is competitive with similar spectroscopically confirmed SNe Ia analyses. Overall this comparison is reassuring, considering the lower redshift leverage of the SDSS-II SN sample (z < 0.55) and the lack of spectroscopic confirmation used herein. These results demonstrate the potential of photometrically classified SN Ia samples in improving cosmological constraints.
AB - We present the cosmological analysis of 752 photometrically classified Type Ia Supernovae (SNe Ia) obtained from the full Sloan Digital Sky Survey II (SDSS-II) Supernova (SN) Survey, supplemented with host-galaxy spectroscopy from the SDSS-III Baryon Oscillation Spectroscopic Survey. Our photometric- classification method is based on the SN classification technique of Sako et al., aided by host-galaxy redshifts (0.05 < z < 0.55). SuperNova ANAlysis simulations of our methodology estimate that we have an SN Ia classification efficiency of 70.8%, with only 3.9% contamination from core-collapse (non-Ia) SNe. We demonstrate that this level of contamination has no effect on our cosmological constraints. We quantify and correct for our selection effects (e.g., Malmquist bias) using simulations. When fitting to a flat ΛCDM cosmological model, we find that our photometric sample alone gives Ωm = 0.24+0.07-0.05 (statistical errors only). If we relax the constraint on flatness, then our sample provides competitive joint statistical constraints on Ωm and ΩΛ, comparable to those derived from the spectroscopically confirmed Three-year Supernova Legacy Survey (SNLS3). Using only our data, the statistics-only result favors an accelerating universe at 99.96% confidence. Assuming a constant wCDM cosmological model, and combining with H0, cosmic microwave background, and luminous red galaxy data, we obtain w = -0.96+0.10 -0.10, Ωm = 0.29+0.02-0.02, and Ωk = 0.00 +0.03-0.02 (statistical errors only), which is competitive with similar spectroscopically confirmed SNe Ia analyses. Overall this comparison is reassuring, considering the lower redshift leverage of the SDSS-II SN sample (z < 0.55) and the lack of spectroscopic confirmation used herein. These results demonstrate the potential of photometrically classified SN Ia samples in improving cosmological constraints.
KW - cosmology: observations
KW - distance scale
KW - supernovae: general
KW - surveys
UR - http://www.scopus.com/inward/record.url?scp=84872698466&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84872698466&partnerID=8YFLogxK
U2 - 10.1088/0004-637X/763/2/88
DO - 10.1088/0004-637X/763/2/88
M3 - Article
AN - SCOPUS:84872698466
SN - 0004-637X
VL - 763
JO - Astrophysical Journal
JF - Astrophysical Journal
IS - 2
M1 - 88
ER -