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Recently, the common methodology used to transform type Ia supernovae (SNe Ia) into genuine standard candles has been suffering criticism. Indeed, it assumes a particular cosmological model (namely the flat $\Lambda$CDM) to calibrate the…

Cosmology and Nongalactic Astrophysics · Physics 2018-07-20 Clémentine Hauret , Pierre Magain , Judith Biernaux

We study the cosmic expansion history by reconstructing the deceleration parameter $q(z)$ from the SDSS-II type Ia supernova sample (SNIa) with two different light curve fits (MLCS2k2 and SALT-II), the baryon acoustic oscillation (BAO)…

General Relativity and Quantum Cosmology · Physics 2011-05-10 Zhengxiang Li , Puxun Wu , Hongwei Yu

We give an overview of the current understanding of Type Ia supernovae relevant for their use as cosmological distance indicators. We present the physical basis to understand their homogeneity of the observed light curves and spectra and…

Astrophysics · Physics 2015-06-24 P. Hoeflich , C. Gerardy , E. Linder , H. Marion

With the availability of thousands of type Ia supernovae in the near future the magnitude scatter induced by lensing will become a major issue as it affects parameter estimation. Current N-body simulations are too time consuming to be…

Cosmology and Nongalactic Astrophysics · Physics 2013-09-10 Valerio Marra , Miguel Quartin , Luca Amendola

We study optical light curve(LC) relations of type Ia supernovae(SNe~Ia) for their use in cosmology using high-quality photometry published by the Carnegie-Supernovae-Project (CSP-I). We revisit the classical luminosity-decline-rate…

The Sloan Digital Sky Survey-II (SDSS-II) has embarked on a multi-year project to identify and measure light curves for intermediate-redshift (0.05 < z < 0.35) Type Ia supernovae (SNe Ia) using repeated five-band (ugriz) imaging over an…

There is growing evidence for the dependence of Type Ia supernova (SN Ia) luminosities on their environments. While the impact of this trend on estimating cosmological parameters is widely acknowledged, the origin of this correlation is…

Cosmology and Nongalactic Astrophysics · Physics 2020-01-08 Young-Lo Kim , Yijung Kang , Young-Wook Lee

The use of Type Ia Supernovae (SNe Ia) as cosmological tools has motivated significant effort to: understand what drives the intrinsic scatter of SN Ia distance modulus residuals after standardization, characterize the distribution of SN Ia…

Cosmology and Nongalactic Astrophysics · Physics 2021-03-10 Dillon Brout , Daniel Scolnic

We present photometric properties and distance measurements of 252 high redshift Type Ia supernovae (0.15 < z < 1.1) discovered during the first three years of the Supernova Legacy Survey (SNLS). These events were detected and their…

With growing data from ongoing and future supernova surveys it is possible to empirically quantify the shapes of SNIa light curves in more detail, and to quantitatively relate the shape parameters with the intrinsic properties of SNIa.…

Solar and Stellar Astrophysics · Physics 2018-05-02 Shiyuan He , Lifan Wang , Jianhua Z. Huang

We investigate cosmological parameter inference and model selection from a Bayesian perspective. Type Ia supernova data from the Dark Energy Survey (DES-SN5YR) are used to test the $\Lambda$CDM, $w$CDM, and CPL cosmological models.…

Applications · Statistics 2025-12-12 Nikoloz Gigiberia

Type Ia supernovae (SNe Ia) are a prime tool in observational cosmology. A relation between their peak luminosities and the shapes of their light curves allows to infer their intrinsic luminosities and to use them as distance indicators.…

Solar and Stellar Astrophysics · Physics 2010-02-15 F. K. Roepke , W. Hillebrandt , D. Kasen , S. E. Woosley

Standard candles can probe the evolution of dark energy in a large redshift range. But the cosmic opacity can degrade the quality of standard candles. In this paper, we use the latest observations, including type Ia supernovae (SNe Ia) from…

Cosmology and Nongalactic Astrophysics · Physics 2017-02-22 J. Hu , H. Yu , F. Y. Wang

A new method to study the intrinsic color and luminosity of type Ia supernovae (SNe Ia) is presented. A metric space built using principal component analysis (PCA) on spectral series SNe Ia between -12.5 and +17.5 days from B maximum is…

Solar and Stellar Astrophysics · Physics 2016-04-27 M. Sasdelli , E. E. O. Ishida , W. Hillebrandt , C. Ashall , P. A. Mazzali , S. Prentice

Type Ia Supernova(SN Ia) are a powerful, albeit not completely understood, tool for cosmology. Gaps in our understanding of their progenitors and detailed physics can lead to systematic errors in the cosmological distances they measure. We…

Cosmology and Nongalactic Astrophysics · Physics 2015-05-27 Brad E. Tucker

Photometric classification of supernovae (SNe) is imperative as recent and upcoming optical time-domain surveys, such as the Large Synoptic Survey Telescope (LSST), overwhelm the available resources for spectrosopic follow-up. Here we…

High Energy Astrophysical Phenomena · Physics 2019-10-28 V. A. Villar , E. Berger , G. Miller , R. Chornock , A. Rest , D. O. Jones , M. R. Drout , R. J. Foley , R. Kirshner , R. Lunnan , E. Magnier , D. Milisavljevic , N. Sanders , D. Scolnic

Despite vast improvements in the measurement of the cosmological parameters, the nature of dark energy and an accurate value of the Hubble constant (H$_0$) in the Hubble-Lema\^itre law remain unknown. To break the current impasse, it is…

Redshift measurement has always been a constant need in modern astronomy and cosmology. And as new surveys have been providing an immense amount of data on astronomical objects, the need to process such data automatically proves to be…

Instrumentation and Methods for Astrophysics · Physics 2023-03-22 Felipe M F de Oliveira , Marcelo Vargas dos Santos , Ribamar R R Reis

Past analyses of Type Ia Supernovae (SNe Ia) have identified an irreducible scatter of 5-10% in distance widely attributed to an intrinsic dispersion in luminosity. Another, equally valid, source of this scatter is intrinsic dispersion in…

Cosmology and Nongalactic Astrophysics · Physics 2015-06-16 Daniel M. Scolnic , Adam G. Riess , Ryan J. Foley , Armin Rest , Steven A. Rodney , Dillon J. Brout , David O. Jones
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