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Title: Improving cosmological distance measurements using twin type Ia supernovae

Journal Article · · The Astrophysical Journal (Online)

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. Finally, 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.

Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC), High Energy Physics (HEP)
Contributing Organization:
The Nearby Supernova Factory
Grant/Contract Number:
AC02-05CH11231
OSTI ID:
1465697
Journal Information:
The Astrophysical Journal (Online), Vol. 815, Issue 1; ISSN 1538-4357
Publisher:
Institute of Physics (IOP)Copyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 39 works
Citation information provided by
Web of Science

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Cited By (19)

Type Ia Supernova Cosmology journal March 2018
Stellar twins determine the distance of the Pleiades journal October 2016
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
Complementarity of peculiar velocity surveys and redshift space distortions for testing gravity journal January 2020
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
Stellar twins determine the distance of the Pleiades text January 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


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