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LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00004477naa a2200829 4500
001oai:DiVA.org:su-165803
003SwePub
008190214s2018 | |||||||||||000 ||eng|
024a https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-1658032 URI
024a https://doi.org/10.3847/1538-4357/aaec7e2 DOI
040 a (SwePub)su
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
100a Saunders, C.4 aut
2451 0a SNEMO :b Improved Empirical Models for Type Ia Supernovae
264 c 2018-12-21
264 1b American Astronomical Society,c 2018
338 a print2 rdacarrier
520 a 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 0.100mag 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.
650 7a NATURVETENSKAPx Fysik0 (SwePub)1032 hsv//swe
650 7a NATURAL SCIENCESx Physical Sciences0 (SwePub)1032 hsv//eng
653 a cosmology: observations
653 a supernovae: general
700a Aldering, G.4 aut
700a Antilogus, P.4 aut
700a Bailey, S.4 aut
700a Baltay, C.4 aut
700a Barbary, K.4 aut
700a Baugh, D.4 aut
700a Boone, K.4 aut
700a Bongard, S.4 aut
700a Buton, C.4 aut
700a Chen, J.4 aut
700a Chotard, N.4 aut
700a Copin, Y.4 aut
700a Dixon, S.4 aut
700a Fagrelius, P.4 aut
700a Fakhouri, H. K.4 aut
700a Feindt, Ulrichu Stockholms universitet,Fysikum,Oskar Klein-centrum för kosmopartikelfysik (OKC)4 aut0 (Swepub:su)ufein
700a Fouchez, D.4 aut
700a Gangler, E.4 aut
700a Hayden, B.4 aut
700a Hillebrandt, W.4 aut
700a Kim, A. G.4 aut
700a Kowalski, M.4 aut
700a Kuesters, D.4 aut
700a Leget, P. -F.4 aut
700a Lombardo, S.4 aut
700a Nordin, J.4 aut
700a Pain, R.4 aut
700a Pecontal, E.4 aut
700a Pereira, R.4 aut
700a Perlmutter, S.4 aut
700a Rabinowitz, D.4 aut
700a Rigault, M.4 aut
700a Rubin, D.4 aut
700a Runge, K.4 aut
700a Smadja, G.4 aut
700a Sofiatti, C.4 aut
700a Suzuki, N.4 aut
700a Tao, C.4 aut
700a Taubenberger, S.4 aut
700a Thomas, R. C.4 aut
700a Vincenzi, M.4 aut
710a Stockholms universitetb Fysikum4 org
773t Astrophysical Journald : American Astronomical Societyg 869:2q 869:2x 0004-637Xx 1538-4357
856u https://arxiv.org/abs/1810.09476y arXiv:1810.09476
856u https://iopscience.iop.org/article/10.3847/1538-4357/aaec7e/pdf
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-165803
8564 8u https://doi.org/10.3847/1538-4357/aaec7e

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