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In order to investigate non-uniformity in the luminosity evolution of Type Ia supernovae, we fit the lightcurves with a multi-parameter empirical model. The model provides a quantitative method of analyzing the lightcurves of Type I…

Astrophysics · Physics 2007-05-23 W. D. Vacca , B. Leibundgut

The aim of this work is to present a semi-analytical light curve modeling code which can be used for estimating physical properties of core collapse supernovae (SNe) in a quick and efficient way. To verify our code we fit light curves of…

High Energy Astrophysical Phenomena · Physics 2014-11-19 Andrea P. Nagy , Andras Ordasi , Jozsef Vinko , J. Craig Wheeler

Aims. With our time-dependent model atmosphere code PHOENIX, our goal is to simulate light curves and spectra of hydrodynamical models of all types of supernovae. In this work, we simulate near-infrared light curves of SNe Ia and confirm…

High Energy Astrophysical Phenomena · Physics 2012-01-10 Dennis Jack , Peter H. Hauschildt , E. Baron

We present {\tt deepSIP} (deep learning of Supernova Ia Parameters), a software package for measuring the phase and -- for the first time using deep learning -- the light-curve shape of a Type Ia supernova (SN~Ia) from an optical spectrum.…

Instrumentation and Methods for Astrophysics · Physics 2020-06-24 Benjamin E. Stahl , Jorge Martinez-Palomera , WeiKang Zheng , Thomas de Jaeger , Alexei V. Filippenko , Joshua S. Bloom

Here we present 1701 light curves of 1550 spectroscopically confirmed Type Ia supernovae (SNe Ia) that will be used to infer cosmological parameters as part of the Pantheon+ SN analysis and the SH0ES (Supernovae and H0 for the Equation of…

We examine the relationship between three parameters of Type Ia supernovae (SNe~Ia): peak magnitude, rise time, and photospheric velocity at the time of peak brightness. The peak magnitude is corrected for extinction using an estimate…

High Energy Astrophysical Phenomena · Physics 2018-05-23 WeiKang Zheng , Patrick L. Kelly , Alexei V. Filippenko

In order to obtain robust cosmological constraints from Type Ia supernova (SN Ia) data, we have applied Markov Chain Monte Carlo (MCMC) to SN Ia lightcurve fitting. We develop a method for sampling the resultant probability density…

Cosmology and Nongalactic Astrophysics · Physics 2016-05-19 Mi Dai , Yun Wang

Type Ia supernova (SN Ia) cosmology analyses include a luminosity step function in their distance standardization process to account for an observed yet unexplained difference in the post-standardization luminosities of SNe Ia originating…

Cosmology and Nongalactic Astrophysics · Physics 2024-01-17 G. Taylor , C. Lidman , B. Popovic , H. Abbot

Type Ia supernovae have been proposed to be much better distance indicators at near-infrared compared to optical wavelengths -- the effect of dust extinction is expected to be lower and it has been shown that SNe Ia behave more like…

Solar and Stellar Astrophysics · Physics 2015-06-23 S. Dhawan , B. Leibundgut , J. Spyromilio , K. Maguire

Type Ia supernovae have played a crucial role in the discovery of the dark energy, via the measurement of their light curves and the determination of the peak brightness via fitting templates to the observed lightcurve shape. Two…

Astrophysics · Physics 2008-11-26 Sebastien Bongard , E. Baron , G. Smadja , David Branch , Peter H. Hauschildt

While many studies have shown a correlation between properties of the light curves of Type Ia SN (SNe Ia) and properties of their host galaxies, it remains unclear what is driving these correlations. We introduce a new direct method to…

We have constructed a comprehensive statistical model for Type Ia supernova (SN Ia) light curves spanning optical through near infrared (NIR) data. A hierarchical framework coherently models multiple random and uncertain effects, including…

Cosmology and Nongalactic Astrophysics · Physics 2015-03-17 Kaisey S. Mandel , Gautham Narayan , Robert P. Kirshner

We present a family of six BVI template light curves for SNe Ia for days -5 and +80, based on high-quality data gathered at CTIO. These templates display a wide range of light curve morphologies, with initial decline rates of their B light…

Type Ia supernova 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 Type Ia Supernova spectral time series that capture a greater…

We present an empirical method which uses visual band light curve shapes (LCS) to estimate the luminosity of type Ia supernovae (SN Ia). This method is first applied to a ``training set'' of 8 SN Ia light curves with independent distance…

Astrophysics · Physics 2009-10-22 Adam G. Riess , William H. Press , Robert P. Kirshner

Type Ia supernova (SN Ia) cosmology relies on the estimation of lightcurve parameters to derive precision distances that leads to the estimation of cosmological parameters. The empirical SALT2 lightcurve modeling that relies on only two…

This is the first release of optical spectroscopic data of low-redshift Type Ia supernovae (SNe Ia) by the Carnegie Supernova Project including 604 previously unpublished spectra of 93 SNe Ia. The observations cover a range of phases from…

The ever-growing sample of observed supernovae enhances our capacity for comprehensive supernova population studies, providing a richer dataset for understanding the diverse characteristics of Type Ia supernovae and possibly that of their…

Instrumentation and Methods for Astrophysics · Physics 2024-01-12 Chang Bi , Tyrone E. Woods , Sébastien Fabbro

Strong gravitational lensing magnifies the light from a background source, allowing us to study these sources in detail. Here, we study the spectra of a $z = 1.95$ lensed Type Ia supernova SN~Encore for its brightest Image A, taken 39 days…

We present an improved version of a light curve model, which is able to estimate the physical properties of different types of core-collapse supernovae having double-peaked light curves, in a quick and efficient way. The model is based on a…

Instrumentation and Methods for Astrophysics · Physics 2016-06-09 Andrea P. Nagy , József Vinkó