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Title: Cosmological parameter uncertainties from SALT-II type Ia supernova light curve models

Abstract

We use simulated type Ia supernova (SN Ia) samples, including both photometry and spectra, to perform the first direct validation of cosmology analysis using the SALT-II light curve model. This validation includes residuals from the light curve training process, systematic biases in SN Ia distance measurements, and a bias on the dark energy equation of state parameter w. Using the SN-analysis package SNANA, we simulate and analyze realistic samples corresponding to the data samples used in the SNLS3 analysis: ∼120 low-redshift (z < 0.1) SNe Ia, ∼255 Sloan Digital Sky Survey SNe Ia (z < 0.4), and ∼290 SNLS SNe Ia (z ≤ 1). To probe systematic uncertainties in detail, we vary the input spectral model, the model of intrinsic scatter, and the smoothing (i.e., regularization) parameters used during the SALT-II model training. Using realistic intrinsic scatter models results in a slight bias in the ultraviolet portion of the trained SALT-II model, and w biases (w {sub input} – w {sub recovered}) ranging from –0.005 ± 0.012 to –0.024 ± 0.010. These biases are indistinguishable from each other within the uncertainty; the average bias on w is –0.014 ± 0.007.

Authors:
;  [1]; ; ; ; ; ;  [2]; ;  [3];  [4]; ;  [5];  [6]
  1. Department of Physics and Astronomy, University of Pennsylvania, 209 South 33rd Street, Philadelphia, PA 19104 (United States)
  2. LPNHE, CNRS/IN2P3, Université Pierre et Marie Curie Paris 6, Universié Denis Diderot Paris 7, 4 place Jussieu, F-75252 Paris Cedex 05 (France)
  3. Kavli Institute for Cosmological Physics, University of Chicago, 5640 South Ellis Avenue, Chicago, IL 60637 (United States)
  4. Center for Particle Astrophysics, Fermi National Accelerator Laboratory, P.O. Box 500, Batavia, IL 60510 (United States)
  5. Argonne National Laboratory, 9700 South Cass Avenue, Lemont, IL 60439 (United States)
  6. Department of Astronomy and Astrophysics, The Pennsylvania State University, University Park, PA 16802 (United States)
Publication Date:
OSTI Identifier:
22365040
Resource Type:
Journal Article
Journal Name:
Astrophysical Journal
Additional Journal Information:
Journal Volume: 793; Journal Issue: 1; Other Information: Country of input: International Atomic Energy Agency (IAEA); Journal ID: ISSN 0004-637X
Country of Publication:
United States
Language:
English
Subject:
79 ASTROPHYSICS, COSMOLOGY AND ASTRONOMY; COSMOLOGY; DISTANCE; EQUATIONS OF STATE; NONLUMINOUS MATTER; PHOTOMETRY; RED SHIFT; SIMULATION; SPECTRA; TYPE I SUPERNOVAE; ULTRAVIOLET RADIATION; VISIBLE RADIATION

Citation Formats

Mosher, J., Sako, M., Guy, J., Astier, P., Betoule, M., El-Hage, P., Pain, R., Regnault, N., Kessler, R., Frieman, J. A., Marriner, J., Biswas, R., Kuhlmann, S., and Schneider, D. P., E-mail: kessler@kicp.chicago.edu. Cosmological parameter uncertainties from SALT-II type Ia supernova light curve models. United States: N. p., 2014. Web. doi:10.1088/0004-637X/793/1/16.
Mosher, J., Sako, M., Guy, J., Astier, P., Betoule, M., El-Hage, P., Pain, R., Regnault, N., Kessler, R., Frieman, J. A., Marriner, J., Biswas, R., Kuhlmann, S., & Schneider, D. P., E-mail: kessler@kicp.chicago.edu. Cosmological parameter uncertainties from SALT-II type Ia supernova light curve models. United States. doi:10.1088/0004-637X/793/1/16.
Mosher, J., Sako, M., Guy, J., Astier, P., Betoule, M., El-Hage, P., Pain, R., Regnault, N., Kessler, R., Frieman, J. A., Marriner, J., Biswas, R., Kuhlmann, S., and Schneider, D. P., E-mail: kessler@kicp.chicago.edu. Sat . "Cosmological parameter uncertainties from SALT-II type Ia supernova light curve models". United States. doi:10.1088/0004-637X/793/1/16.
@article{osti_22365040,
title = {Cosmological parameter uncertainties from SALT-II type Ia supernova light curve models},
author = {Mosher, J. and Sako, M. and Guy, J. and Astier, P. and Betoule, M. and El-Hage, P. and Pain, R. and Regnault, N. and Kessler, R. and Frieman, J. A. and Marriner, J. and Biswas, R. and Kuhlmann, S. and Schneider, D. P., E-mail: kessler@kicp.chicago.edu},
abstractNote = {We use simulated type Ia supernova (SN Ia) samples, including both photometry and spectra, to perform the first direct validation of cosmology analysis using the SALT-II light curve model. This validation includes residuals from the light curve training process, systematic biases in SN Ia distance measurements, and a bias on the dark energy equation of state parameter w. Using the SN-analysis package SNANA, we simulate and analyze realistic samples corresponding to the data samples used in the SNLS3 analysis: ∼120 low-redshift (z < 0.1) SNe Ia, ∼255 Sloan Digital Sky Survey SNe Ia (z < 0.4), and ∼290 SNLS SNe Ia (z ≤ 1). To probe systematic uncertainties in detail, we vary the input spectral model, the model of intrinsic scatter, and the smoothing (i.e., regularization) parameters used during the SALT-II model training. Using realistic intrinsic scatter models results in a slight bias in the ultraviolet portion of the trained SALT-II model, and w biases (w {sub input} – w {sub recovered}) ranging from –0.005 ± 0.012 to –0.024 ± 0.010. These biases are indistinguishable from each other within the uncertainty; the average bias on w is –0.014 ± 0.007.},
doi = {10.1088/0004-637X/793/1/16},
journal = {Astrophysical Journal},
issn = {0004-637X},
number = 1,
volume = 793,
place = {United States},
year = {2014},
month = {9}
}