SUGAR: An improved empirical model of Type Ia supernovae based on spectral features

Léget, PF; Gangler, E; Mondon, F; Aldering, G; Antilogus, P; Aragon, C; Bailey, S; Baltay, C; Barbary, K; Bongard, S; Boone, K; Buton, C; Chotard, N; Copin, Y; Dixon, S; Fagrelius, P; Feindt, U; Fouchez, D; Hayden, B; Hillebrandt, W; Kim, A; Kowalski, M; Kuesters, D; Lombardo, S; Lin, Q; Nordin, J; Pain, R; Pecontal, E; Pereira, R; Perlmutter, S; Ponder, KA; Pruzhinskaya, MV; Rabinowitz, D; Rigault, M; Runge, K; Rubin, D; Saunders, C; Says, LP; Smadja, G; Sofiatti, C; Suzuki, N; Taubenberger, S; Tao, C; Thomas, RC

doi:10.1051/0004-6361/201834954

Title: SUGAR: An improved empirical model of Type Ia supernovae based on spectral features

Journal Article · Wed Apr 01 00:00:00 EDT 2020 · Astronomy and Astrophysics

DOI:https://doi.org/10.1051/0004-6361/201834954· OSTI ID:1713229

Léget, PF; Gangler, E; Mondon, F; Aldering, G; Antilogus, P; Aragon, C; Bailey, S; Baltay, C; Barbary, K; Bongard, S; Boone, K; Buton, C; Chotard, N; Copin, Y; Dixon, S; Fagrelius, P; Feindt, U; Fouchez, D; Hayden, B; Hillebrandt, W more »

Type Ia supernovae (SNe Ia) are widely used to measure the expansion of the Universe. Improving distance measurements of SNe Ia is one technique to better constrain the acceleration of expansion and determine its physical nature. This document develops a new SNe Ia spectral energy distribution (SED) model, called the SUpernova Generator And Reconstructor (SUGAR), which improves the spectral description of SNe Ia, and consequently could improve the distance measurements. This model was constructed from SNe Ia spectral properties and spectrophotometric data from the Nearby Supernova Factory collaboration. In a first step, a principal component analysis-like method was used on spectral features measured at maximum light, which allowed us to extract the intrinsic properties of SNe Ia. Next, the intrinsic properties were used to extract the average extinction curve. Third, an interpolation using Gaussian processes facilitated using data taken at different epochs during the lifetime of an SN Ia and then projecting the data on a fixed time grid. Finally, the three steps were combined to build the SED model as a function of time and wavelength. This is the SUGAR model. Results. The main advancement in SUGAR is the addition of two additional parameters to characterize SNe Ia variability. The first is tied to the properties of SNe Ia ejecta velocity and the second correlates with their calcium lines. The addition of these parameters, as well as the high quality of the Nearby Supernova Factory data, makes SUGAR an accurate and efficient model for describing the spectra of normal SNe Ia as they brighten and fade. The performance of this model makes it an excellent SED model for experiments like the Zwicky Transient Facility, the Large Synoptic Survey Telescope, or the Wide Field Infrared Survey Telescope.

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Research Organization:: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR); LABEX; European Research Council (ERC); National Science Foundation (NSF); German Research Foundation (DFG); National Aeronautics and Space Administration (NASA); Russian Science Foundation

Contributing Organization:: The Nearby Supernova Factory

Grant/Contract Number:: AC02-05CH11231; ANR-11- IDEX-0004-02; ANR-10-LABX-0066; FKZ 50OR1503; FKZ 50OR1602; 15-ADAP15-0256; 0087344; 0426879; 18-72-00159

OSTI ID:: 1713229

Journal Information:: Astronomy and Astrophysics, Vol. 636; ISSN 0004-6361

Publisher:: EDP SciencesCopyright Statement

Country of Publication:: United States

Language:: English

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