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Title: IMPROVING COSMOLOGICAL DISTANCE MEASUREMENTS USING TWIN TYPE IA SUPERNOVAE

Journal Article · · Astrophysical Journal
; ; ; ; ;  [1]; ; ;  [2];  [3];  [4]; ;  [5]; ; ;  [6];  [7];  [8];  [9];  [10] more »; « less
  1. Physics Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720 (United States)
  2. Laboratoire de Physique Nucléaire et des Hautes Énergies, Université Pierre et Marie Curie Paris 6, Université Paris Diderot Paris 7, CNRS-IN2P3, 4 place Jussieu, F-75252 Paris Cedex 05 (France)
  3. Department of Physics, Yale University, New Haven, CT 06250-8121 (United States)
  4. Department of Physics, University of California Berkeley, 366 LeConte Hall MC 7300, Berkeley, CA 94720-7300 (United States)
  5. Tsinghua Center for Astrophysics, Tsinghua University, Beijing 100084 (China)
  6. Université de Lyon 1, Villeurbanne (France)
  7. Research School of Astronomy and Astrophysics, Australian National University, Canberra, ACT 2611 (Australia)
  8. Institut fur Physik, Humboldt-Universitat zu Berlin, Newtonstrasse 15, D-12489 Berlin (Germany)
  9. Centre de Physique des Particules de Marseille, Aix-Marseille Université, CNRS/IN2P3, 163 avenue de Luminy—Case 902—F-13288 Marseille Cedex 09 (France)
  10. Clermont Université, Université Blaise Pascal, CNRS/IN2P3, Laboratoire de Physique Corpusculaire, BP 10448, F-63000 Clermont-Ferrand (France)

We introduce a method for identifying “twin” Type Ia supernovae (SNe Ia) and using them to improve distance measurements. This novel approach to SN Ia standardization is made possible by spectrophotometric time series observations from the Nearby Supernova Factory (SNfactory). We begin with a well-measured set of SNe, find pairs whose spectra match well across the entire optical window, and then test whether this leads to a smaller dispersion in their absolute brightnesses. This analysis is completed in a blinded fashion, ensuring that decisions made in implementing the method do not inadvertently bias the result. We find that pairs of SNe with more closely matched spectra indeed have reduced brightness dispersion. We are able to standardize this initial set of SNfactory SNe to 0.083 ± 0.012 mag, implying a dispersion of 0.072 ± 0.010 mag in the absence of peculiar velocities. We estimate that with larger numbers of comparison SNe, e.g., using the final SNfactory spectrophotometric data set as a reference, this method will be capable of standardizing high-redshift SNe to within 0.06–0.07 mag. These results imply that at least 3/4 of the variance in Hubble residuals in current SN cosmology analyses is due to previously unaccounted-for astrophysical differences among the SNe.

OSTI ID:
22521785
Journal Information:
Astrophysical Journal, Vol. 815, Issue 1; Other Information: Country of input: International Atomic Energy Agency (IAEA); ISSN 0004-637X
Country of Publication:
United States
Language:
English

Cited By (21)

Type Ia Supernova Cosmology journal March 2018
Understanding type Ia supernovae through their U -band spectra journal June 2018
SUGAR: An improved empirical model of Type Ia supernovae based on spectral features journal April 2020
Dark energy two decades after: observables, probes, consistency tests journal December 2017
Berkeley supernova Ia program: data release of 637 spectra from 247 Type Ia supernovae journal January 2020
Significant luminosity differences of two twin Type Ia supernovae journal November 2019
Photometric supernovae redshift systematics requirements journal August 2019
Complementarity of peculiar velocity surveys and redshift space distortions for testing gravity journal January 2020
Stellar twins determine the distance of the Pleiades text January 2016
Avocado: Photometric Classification of Astronomical Transients with Gaussian Process Augmentation journal December 2019
An Empirical Fitting Method to Type Ia Supernova Light Curves. III. A Three-parameter Relationship: Peak Magnitude, Rise Time, and Photospheric Velocity journal May 2018
Simulations of the WFIRST Supernova Survey and Forecasts of Cosmological Constraints journal October 2018
Measuring type ia Supernova Populations of Stretch and Color and Predicting Distance Biases journal May 2016
Stellar twins determine the distance of the Pleiades journal October 2016
Simulations of the WFIRST Supernova Survey and Forecasts of Cosmological Constraints text January 2018
Dark energy two decades after: Observables, probes, consistency tests text January 2017
An Empirical Fitting Method to Type Ia Supernova Light Curves. III. A Three-Parameter Relationship: Peak Magnitude, Rise Time, and Photospheric Velocity text January 2017
Understanding Type Ia supernovae through their U-band spectra text January 2018
Avocado: Photometric Classification of Astronomical Transients with Gaussian Process Augmentation text January 2019
Complementarity of Peculiar Velocity Surveys and Redshift Space Distortions for Testing Gravity text January 2019
Berkeley Supernova Ia Program: Data Release of 637 Spectra from 247 Type Ia Supernovae text January 2020