J/A+A/636/A46 The SUGAR model. Training dataset (Leget+, 2020)
SUGAR: An improved empirical model of Type Ia Supernovae based on spectral
features.
Leget P.-F., 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 K. A., Pruzhinskaya M.V., Rabinowitz D., Rigault M., Runge K.,
Rubin D., Saunders C., Says L.-P., Smadja G., Sofiatti C., Suzuki N.,
Taubenberger S., Tao C., Thomas R.C., (The Nearby Supernova Factory)
<Astron. Astrophys. 636, A46 (2020)>
=2020A&A...636A..46L 2020A&A...636A..46L (SIMBAD/NED BibCode)
ADC_Keywords: Supernovae ; Spectrophotometry ; Equivalent widths
Keywords: supernovae: general - cosmology: observations
Abstract:
This analysis 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. The proper
way to cite the data can be found at
https://snfactory.lbl.gov/snf/data/index.html
Description:
This analysis uses flux calibrated spectra of 172 SNe Ia obtained by
the SNfactory collaboration with its SNIFS instrument on the
University of Hawaii 2.2-m telescope on Mauna Kea.
The dataset consists of a table that has spectral features measured
at maximum light of SNe Ia, and 2187 individual spectra took at
different epoch of 172 SNe Ia obtained by the SNfactory collaboration
with its SNIFS instrument on the University of Hawaii 2.2-m telescope
on Mauna Kea.
File Summary:
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FileName Lrecl Records Explanations
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ReadMe 80 . This file
features.dat 221 172 Spectral features used in this work
sp/* . 2187 Individual spectra
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See also:
https://snfactory.lbl.gov/snf/data/index.html : SNfactory Data Releases
Byte-by-byte Description of file: features.dat
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Bytes Format Units Label Explanations
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1- 2 I2 --- Nsp Number of spectra in sp subdirectory
4- 20 A17 --- Name Supernova name
22- 28 F7.3 0.1nm W(CaHK) CaII H&K equivalent width
30- 35 F6.3 0.1nm e_W(CaHK) rms uncertainty on W(CaHK)
37- 42 F6.3 0.1nm W(Si4128) SiII λ4128 equivalent width
44- 49 F6.3 0.1nm e_W(Si4128) rms uncertainty on W(Si4128)
51- 57 F7.3 0.1nm W(Mg) MgII equivalent width
59- 64 F6.3 0.1nm e_W(Mg) rms uncertainty on W(Mg)
66- 72 F7.3 0.1nm W(Fe) Fe λ4800 equivalent width
74- 79 F6.3 0.1nm e_W(Fe) rms uncertainty on W(Fe)
81- 87 F7.3 0.1nm W(S) SII equivalent width
89- 94 F6.3 0.1nm e_W(S) rms uncertainty on W(S)
96-101 F6.3 0.1nm W(Si5972) SiII λ5972 equivalent width
103-108 F6.3 0.1nm e_W(Si5972) rms uncertainty on W(Si5972)
110-116 F7.3 0.1nm W(Si6355) SiII λ6355 equivalent width
118-123 F6.3 0.1nm e_W(Si6355) rms uncertainty on W(Si6355)
125-131 F7.3 0.1nm W(O) OI λ7773 equivalent width
133-138 F6.3 0.1nm e_W(O) rms uncertainty on W(O)
140-147 F8.3 0.1nm W(CaIR) CaII IR equivalent width
149-155 F7.3 0.1nm e_W(CaIR) rms uncertainty on W(CaIR)
157-164 F8.3 0.1nm V(Si4128) ?=-999 SiII λ4128 p-cygni profile
minimum
166-173 F8.3 0.1nm e_V(Si4128) ?=-999 rms uncertainty on V(Si4128)
175-182 F8.3 0.1nm V(S5454) SII λ5454 p-cygni profile minimum
184-189 F6.3 0.1nm e_V(S5454) rms uncertainty on V(S5454)
191-198 F8.3 0.1nm V(S5640) SII λ5640 p-cygni profile minimum
200-205 F6.3 0.1nm e_V(S5640) rms uncertainty on V(S5640)
207-214 F8.3 0.1nm V(Si6355) SiII λ6355 p-cygni profile minimum
216-221 F6.3 0.1nm e_V(Si6355) rms uncertainty on V(Si6355)
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Byte-by-byte Description of file (#): sp/*
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Bytes Format Units Label Explanations
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1- 8 F8.3 0.1nm lambda Wavelength
13- 18 F6.3 mag MAG Absolute AB magnitude
22- 29 F8.3 mag e_MAG rms uncertainty on MAG
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Acknowledgements:
Pierre-Francois Leget, plget(at)lpnhe.in2p3.fr
(End) Patricia Vannier [CDS] 01-Apr-2020