SNEMO: Improved Empirical Models for Type Ia Supernovae

Autor: Saunders, Claire, Aldering, G., Chen, J., Chotard, N., Copin, Y., Dixon, S., Fagrelius, P., Fakhouri, H. K., Feindt, U., Fouchez, D., Gangler, E., Hayden, B., Antilogus, P., Hillebrandt, W., Kim, A. G., Kowalski, Marek, Küsters, D., Leget, P.-F., Lombardo, S., Nordin, J., Pain, R., Pecontal, E., Pereira, R., Bailey, S., Perlmutter, S., Rabinowitz, D., Rigault, M., Rubin, D., Runge, K., Smadja, G., Sofiatti, C., Suzuki, N., Tao, C., Taubenberger, S., Baltay, C., Thomas, R. C., Vincenzi, M., Nearby Supernova Factory Collaboration, Barbary, K., Baugh, D., Boone, K., Bongard, S., Buton, C.
Přispěvatelé: Laboratoire de Physique Nucléaire et de Hautes Énergies (LPNHE (UMR_7585)), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris Diderot - Paris 7 (UPD7)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut Lagrange de Paris, Sorbonne Universités, Institut de Physique Nucléaire de Lyon (IPNL), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Centre de Physique des Particules de Marseille (CPPM), Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Aix Marseille Université (AMU), Laboratoire de Physique de Clermont (LPC), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Clermont Auvergne (UCA)-Centre National de la Recherche Scientifique (CNRS), Centre de Recherche Astrophysique de Lyon (CRAL), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-École normale supérieure - Lyon (ENS Lyon), Nearby Supernova Factory, Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS), École normale supérieure de Lyon (ENS de Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Sorbonne Université (SU), Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Cosmology and Nongalactic Astrophysics (astro-ph.CO)
Astrophysics::High Energy Astrophysical Phenomena
FOS: Physical sciences
Astrophysics
Astrophysics::Cosmology and Extragalactic Astrophysics
Type (model theory)
Astronomy & Astrophysics
01 natural sciences
Physical Chemistry
Atomic
Cosmology
Spectral line
symbols.namesake
Particle and Plasma Physics
supernovae: general
0103 physical sciences
Expectation–maximization algorithm
Nuclear
010303 astronomy & astrophysics
Gaussian process
Astrophysics::Galaxy Astrophysics
Physics
Series (mathematics)
010308 nuclear & particles physics
Organic Chemistry
Molecular
Astronomy and Astrophysics
observations [cosmology]
Supernova
Space and Planetary Science
cosmology: observations
Principal component analysis
symbols
astro-ph.CO
ddc:520
[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]
general [supernovae]
Astronomical and Space Sciences
Astrophysics - Cosmology and Nongalactic Astrophysics
Physical Chemistry (incl. Structural)
Zdroj: Astrophys.J.
Astrophys.J., 2018, 869 (2), pp.167. ⟨10.3847/1538-4357/aaec7e⟩
Astrophysical Journal, vol 869, iss 2
The Astrophysical Journal
The astrophysical journal / 1 869(2), 167 (2018). doi:10.3847/1538-4357/aaec7e
The Astrophysical Journal, vol 869, iss 2
ISSN: 1538-4357
0004-637X
1538-3881
1538-3873
0035-8711
0004-6361
Popis: The astrophysical journal 869(2), 167 (2018). doi:10.3847/1538-4357/aaec7e
SN Ia cosmology depends on the ability to fit and standardize observations of supernova magnitudes with an empirical model. We present here a series of new models of SN Ia spectral time series that capture a greater amount of supernova diversity than is possible with the models that are currently customary. These are entitled SuperNova Empirical MOdels (SNEMO; https://snfactory.lbl.gov/snemo). The models are constructed using spectrophotometric time series from 172 individual supernovae from the Nearby Supernova Factory, comprising more than 2000 spectra. Using the available observations, Gaussian processes are used to predict a full spectral time series for each supernova. A matrix is constructed from the spectral time series of all the supernovae, and Expectation Maximization Factor Analysis is used to calculate the principal components of the data. K-fold cross-validation then determines the selection of model parameters and accounts for color variation in the data. Based on this process, the final models are trained on supernovae that have been dereddened using the Fitzpatrick and Massa extinction relation. Three final models are presented here: SNEMO2, a two-component model for comparison with current Type Ia models; SNEMO7, a seven-component model chosen for standardizing supernova magnitudes, which results in a total dispersion of 0.100 mag for a validation set of supernovae, of which 0.087 mag is unexplained (a total dispersion of 0.113 mag with an unexplained dispersion of 0.097 mag is found for the total set of training and validation supernovae); and SNEMO15, a comprehensive 15-component model that maximizes the amount of spectral time-series behavior captured.
Published by IOP Publ., Chicago, Ill. [u.a.]
Databáze: OpenAIRE
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