Cosmology with photometrically classified type Ia supernovae from the SDSS-II supernova survey

Heather Campbell, Chris B. D'Andrea, Robert C. Nichol, Masao Sako, Mathew Smith, Hubert Lampeitl, Matthew D. Olmstead, Bruce Bassett, Rahul Biswas, Peter Brown, David Cinabro, Kyle S. Dawson, Ben Dilday, Ryan J. Foley, Joshua A. Frieman, Peter Garnavich, Renee Hlozek, Saurabh W. Jha, Steve Kuhlmann, Martin KunzJohn Marriner, Ramon Miquel, Michael Richmond, Adam Riess, Donald P. Schneider, Jesper Sollerman, Matt Taylor, Gong Bo Zhao

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Abstract

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.

Original languageEnglish (US)
Article number88
JournalAstrophysical Journal
Volume763
Issue number2
DOIs
StatePublished - Feb 1 2013

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cosmology
supernovae
galaxies
contamination
simulation
oscillation
spectroscopy
flatness
methodology
confidence
baryons
universe
statistics
microwaves
oscillations
estimates
analysis
effect

All Science Journal Classification (ASJC) codes

  • Astronomy and Astrophysics
  • Space and Planetary Science

Cite this

Campbell, H., D'Andrea, C. B., Nichol, R. C., Sako, M., Smith, M., Lampeitl, H., ... Zhao, G. B. (2013). Cosmology with photometrically classified type Ia supernovae from the SDSS-II supernova survey. Astrophysical Journal, 763(2), [88]. https://doi.org/10.1088/0004-637X/763/2/88
Campbell, Heather ; D'Andrea, Chris B. ; Nichol, Robert C. ; Sako, Masao ; Smith, Mathew ; Lampeitl, Hubert ; Olmstead, Matthew D. ; Bassett, Bruce ; Biswas, Rahul ; Brown, Peter ; Cinabro, David ; Dawson, Kyle S. ; Dilday, Ben ; Foley, Ryan J. ; Frieman, Joshua A. ; Garnavich, Peter ; Hlozek, Renee ; Jha, Saurabh W. ; Kuhlmann, Steve ; Kunz, Martin ; Marriner, John ; Miquel, Ramon ; Richmond, Michael ; Riess, Adam ; Schneider, Donald P. ; Sollerman, Jesper ; Taylor, Matt ; Zhao, Gong Bo. / Cosmology with photometrically classified type Ia supernovae from the SDSS-II supernova survey. In: Astrophysical Journal. 2013 ; Vol. 763, No. 2.
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abstract = "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.",
author = "Heather Campbell and D'Andrea, {Chris B.} and Nichol, {Robert C.} and Masao Sako and Mathew Smith and Hubert Lampeitl and Olmstead, {Matthew D.} and Bruce Bassett and Rahul Biswas and Peter Brown and David Cinabro and Dawson, {Kyle S.} and Ben Dilday and Foley, {Ryan J.} and Frieman, {Joshua A.} and Peter Garnavich and Renee Hlozek and Jha, {Saurabh W.} and Steve Kuhlmann and Martin Kunz and John Marriner and Ramon Miquel and Michael Richmond and Adam Riess and Schneider, {Donald P.} and Jesper Sollerman and Matt Taylor and Zhao, {Gong Bo}",
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language = "English (US)",
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Campbell, H, D'Andrea, CB, Nichol, RC, Sako, M, Smith, M, Lampeitl, H, Olmstead, MD, Bassett, B, Biswas, R, Brown, P, Cinabro, D, Dawson, KS, Dilday, B, Foley, RJ, Frieman, JA, Garnavich, P, Hlozek, R, Jha, SW, Kuhlmann, S, Kunz, M, Marriner, J, Miquel, R, Richmond, M, Riess, A, Schneider, DP, Sollerman, J, Taylor, M & Zhao, GB 2013, 'Cosmology with photometrically classified type Ia supernovae from the SDSS-II supernova survey', Astrophysical Journal, vol. 763, no. 2, 88. https://doi.org/10.1088/0004-637X/763/2/88

Cosmology with photometrically classified type Ia supernovae from the SDSS-II supernova survey. / Campbell, Heather; D'Andrea, Chris B.; Nichol, Robert C.; Sako, Masao; Smith, Mathew; Lampeitl, Hubert; Olmstead, Matthew D.; Bassett, Bruce; Biswas, Rahul; Brown, Peter; Cinabro, David; Dawson, Kyle S.; Dilday, Ben; Foley, Ryan J.; Frieman, Joshua A.; Garnavich, Peter; Hlozek, Renee; Jha, Saurabh W.; Kuhlmann, Steve; Kunz, Martin; Marriner, John; Miquel, Ramon; Richmond, Michael; Riess, Adam; Schneider, Donald P.; Sollerman, Jesper; Taylor, Matt; Zhao, Gong Bo.

In: Astrophysical Journal, Vol. 763, No. 2, 88, 01.02.2013.

Research output: Contribution to journalArticle

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.

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