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Supernovae Type-Ia (SNeIa) play a significant role in exploring the history of the expansion of the Universe, since they are the best-known standard candles with which we can accurately measure the distance to the objects. Finding large…

Instrumentation and Methods for Astrophysics · Physics 2017-12-01 Akisato Kimura , Ichiro Takahashi , Masaomi Tanaka , Naoki Yasuda , Naonori Ueda , Naoki Yoshida

Supernova (SN) rates serve as an important probe of star-formation models and initial mass functions. Near-infrared seeing-limited ground-based surveys typically discover a factor of 3-10 fewer SNe than predicted from far-infrared (FIR)…

Future measurements of the nature of dark energy using Type Ia supernovae will require a precise characterization of systematic sources of error. Evolutionary effects remain the most uncertain contributor to the overall systematic error…

Astrophysics · Physics 2016-08-30 Adam G Riess , Mario Livio

By using the Sloan Digital Sky Survey (SDSS) first year type Ia supernova (SN Ia) compilation, we compare two different approaches (traditional \chi^2 and complete likelihood) to determine parameter constraints when the magnitude dispersion…

Cosmology and Nongalactic Astrophysics · Physics 2015-05-27 B. L. Lago , M. O. Calvão , S. E. Jorás , R. R. R. Reis , I. Waga , R. Giostri

A recently proposed technique allows one to constrain both the background and perturbation cosmological parameters through the distribution function of supernova Ia apparent magnitudes. Here we extend this technique to alternative…

Cosmology and Nongalactic Astrophysics · Physics 2019-06-28 Luca Amendola , Tiago Castro , Valerio Marra , Miguel Quartin

The detailed nature of type Ia supernovae (SNe Ia) remains uncertain, and as survey statistics increase, the question of astrophysical systematic uncertainties arises, notably that of the evolution of SN Ia populations. We study the…

Cosmology and Nongalactic Astrophysics · Physics 2021-05-19 N. Nicolas , M. Rigault , Y. Copin , R. Graziani , G. Aldering , M. Briday , J. Nordin , Y. -L. Kim , S. Perlmutter , M. Smith

We present a measurement of the volumetric Type Ia supernova (SN Ia) rate (SNR_Ia) as a function of redshift for the first four years of data from the Canada-France-Hawaii Telescope (CFHT) Supernova Legacy Survey (SNLS). This analysis…

Current and future cosmological analyses with Type Ia Supernovae (SNe Ia) face three critical challenges: i) measuring redshifts from the supernova or its host galaxy; ii) classifying SNe without spectra; and iii) accounting for…

We present principled Bayesian model comparison through simulation-based neural classification applied to SN Ia analysis. We validate our approach on realistically simulated SN Ia light curve data, demonstrating its ability to recover…

Cosmology and Nongalactic Astrophysics · Physics 2023-11-28 Konstantin Karchev , Roberto Trotta , Christoph Weniger

We present improved photometric measurements for the host galaxies of 206 spectroscopically confirmed type Ia supernovae discovered by the Dark Energy Survey Supernova Program (DES-SN) and used in the first DES-SN cosmological analysis.…

We present a new solution to the problem of classifying Type Ia supernovae from their light curves alone given a spectroscopically confirmed but biased training set, circumventing the need to obtain an observationally expensive unbiased…

Instrumentation and Methods for Astrophysics · Physics 2020-04-03 Esben A. Revsbech , Roberto Trotta , David A. van Dyk

Type Ia supernova (SN Ia) as a standard candle is an ideal tool to measure cosmic distance and expansion history of the Universe. Here we investigate the SN Ia photometric measurement in the China Space Station Telescope Ultra Deep Field…

Cosmology and Nongalactic Astrophysics · Physics 2024-04-24 Minglin Wang , Yan Gong , Furen Deng , Haitao Miao , Xuelei Chen , Hu Zhan

Type Ia supernova (SNIa) are excellent probes of local distance, and the increasing sample sizes of SNIa have driven an increased need to study the associated systematic uncertainties and improve the standardisation methods in preparation…

We present a new machine learning model for estimating photometric redshifts with improved accuracy for galaxies in Pan-STARRS1 data release 1. Depending on the estimation range of redshifts, this model based on neural networks can handle…

Instrumentation and Methods for Astrophysics · Physics 2021-12-09 Joongoo Lee , Min-Su Shin

The weak lensing magnification of Type Ia Supernovae (SNe Ia) is sensitive to the clustering of matter, and provides an independent cosmological probe complementary to SN Ia distance measurements. The Nancy Grace Roman Space Telescope is…

Cosmology and Nongalactic Astrophysics · Physics 2020-12-16 Zhongxu Zhai , Yun Wang , Dan Scolnic

We use a sample of 1338 spectroscopically confirmed and photometrically classified Type Ia Supernovae (SNe Ia), sourced from the CSP, CfA, SDSS-II, and SNLS supernova samples, to examine the relationships between SNe Ia and the galaxies…

Cosmology and Nongalactic Astrophysics · Physics 2017-10-18 Syed A. Uddin , Jeremy Mould , Chris Lidman , Vanina Ruhlmann-Kleider , Bonnie R. Zhang

We present the HOLISMOKES programme on strong gravitational lensing of supernovae as a probe of supernova (SN) physics and cosmology. We investigate the effects of microlensing on early-phase SN Ia spectra using four different SN explosion…

Cosmology and Nongalactic Astrophysics · Physics 2021-01-04 S. H. Suyu , S. Huber , R. Cañameras , M. Kromer , S. Schuldt , S. Taubenberger , A. Yıldırım , V. Bonvin , J. H. H. Chan , F. Courbin , U. Nöbauer , S. A. Sim , D. Sluse

Type Ia supernovae (SNe Ia) provide us with a unique tool for measuring extragalactic distances and determining cosmological parameters. As a result, the precise and effective calibration for peak luminosities of SNe Ia becomes extremely…

Astrophysics · Physics 2016-08-30 Xiaofeng Wang , Lifan Wang , Xu Zhou , Yuqing Lou , Zongwei Li

We present an analysis of supernova light curves simulated for the upcoming Dark Energy Survey (DES) supernova search. The simulations employ a code suite that generates and fits realistic light curves in order to obtain distance…