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Characterizing the secondary maximum in the r-band for Type Ia supernovae: diagnostic for the ejecta mass
Stockholm University, Faculty of Science, Department of Physics. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC).ORCID iD: 0000-0003-0783-3323
Stockholm University, Faculty of Science, Department of Physics. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC).
Stockholm University, Faculty of Science, Department of Astronomy.
Stockholm University, Faculty of Science, Department of Physics. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC).
2019 (English)In: Monthly notices of the Royal Astronomical Society, ISSN 0035-8711, E-ISSN 1365-2966, Vol. 485, no 2, p. 2343-2354Article in journal (Refereed) Published
Abstract [en]

An increase in the number of studied Type Ia supernovae (SNe Ia) has demonstrated that this class of explosions has a greater diversity in its observables than was previously assumed. The reasons (e.g. the explosion mechanism, progenitor system) for such a diversity remain unknown. Here, we analyse a sample of r-band light curves of SNe Ia, focusing on their behaviour similar to 2-4 weeks after maximum light, i.e. the second maximum. We characterize the second maximum by its timing (t(r2)) and the integrated flux ((F) over bar (r2)). We find that t(r2) correlates with the 'colour-stretch' parameter s(BV), which can be used as a proxy for Ni-56 mass, and (F) over bar (r2) correlates with the transparency time-scale, t(0). Using (F) over bar (r2) for a sample of 199 SNe from the Palomar Transient Factory and intermediate Palomar Transient Factory, we evaluate a distribution on t(0) for a sample of SNe Ia found in an 'untargeted' survey. Comparing this distribution to the predictions of t(0) ranges from models we find that the largest overlap in t(0) values between models and observations is for the sub-Chandrasekhar double detonation models. We also compare our relations between t(0) and (F) over bar (r2) with that from the 1D explosion models of Goldstein & Kasen and confirm that (F) over bar (r2) can be used as a diagnostic of the total ejecta mass.

Place, publisher, year, edition, pages
2019. Vol. 485, no 2, p. 2343-2354
Keywords [en]
supernovae: general
National Category
Astronomy, Astrophysics and Cosmology
Research subject
Physics
Identifiers
URN: urn:nbn:se:su:diva-167378DOI: 10.1093/mnras/stz493ISI: 000474886200062OAI: oai:DiVA.org:su-167378DiVA, id: diva2:1299587
Available from: 2019-03-27 Created: 2019-03-27 Last updated: 2019-08-19Bibliographically approved
In thesis
1. Properties of Type Ia Supernovae: From the (intermediate) Palomar Transient Factory
Open this publication in new window or tab >>Properties of Type Ia Supernovae: From the (intermediate) Palomar Transient Factory
2019 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Type Ia Supernovae (SNe) have been used to discover the accelerated expansion of the universe but many open questions remain unanswered. These include the stellar progenitor, extinction and possible systematic trends in the supernova brightness for different host galaxy environments or cosmic time. In this thesis we attempt to address these open questions by looking at a large homogeneous sample of nearby SNe from the Palomar Transient Factory (2009-2012) and the intermediate Palomar Transient Factory (2013-2017) for which we have 265 well-observed light-curves in the R-band and 2981 spectra from a total of 2060 SNe.

In Paper I we study the global properties of the R-band light-curves, such as rise-time, stretch and intrinsic brightness at different SN phases, to examine if there are multiple populations in any of the parameters suggesting different progenitor channels. We do not find evidence supporting this. We characterize the second maximum in the R-band in Paper II and find a correlation between the time from light-curve maximum, and the "colour-stretch" parameter, a proxy for 56Ni mass. We also found that the integrated flux under the second maximum, correlates with the transparency timescale, a proxy for total ejecta mass. Using these two relations we find that sub-Chandrasekhar double detonation models can account for the biggest fraction of the PTF/iPTF SNe light-curves properties. In Paper III we present the spectroscopic sample of PTF/iPTF and using automatic machine learning tools to explore spectral features and possible connection to photometric and host galaxy properties.

Paper IV focuses on a small sample of SNe, with multi-wavelength light-curves, to address one of the most important systematic uncertainties in supernova cosmology: extinction by dust in the line-of-sights. We found a diversity in the reddening laws as characterised by the total-to-selective extinction, RV. Finally, Paper V looks at a strongly lensed SNIa at z=1.4  to see if there is evolution of its spectral and photometric properties over cosmic time. Both Paper IV and Paper V use the code developed for Paper III to analyse spectra.

Place, publisher, year, edition, pages
Stockholm: Department of Physics, Stockholm University, 2019. p. 73
Keywords
Type Ia supernovae, cosmology, machine learning
National Category
Astronomy, Astrophysics and Cosmology
Research subject
Physics
Identifiers
urn:nbn:se:su:diva-167380 (URN)978-91-7797-684-4 (ISBN)978-91-7797-685-1 (ISBN)
Public defence
2019-05-24, sal FA32, AlbaNova universitetscentrum, Roslagstullsbacken 21, Stockholm, 13:00 (English)
Opponent
Supervisors
Note

At the time of the doctoral defense, the following paper was unpublished and had a status as follows: Paper 3: Manuscript.

Available from: 2019-04-29 Created: 2019-04-01 Last updated: 2019-04-17Bibliographically approved

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Papadogiannakis, SeméliDhawan, SuhailMorosin, RobertaGoobar, Ariel
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