English
Related papers

Related papers: Characterizing the contaminating distance distribu…

200 papers

Type Ia supernovae (SNe Ia) are thermonuclear exploding stars that can be used to put constraints on the nature of our universe. One challenge with population analyses of SNe Ia is Malmquist bias, where we preferentially observe the…

Cosmology and Nongalactic Astrophysics · Physics 2024-07-24 Benjamin M. Boyd , Matthew Grayling , Stephen Thorp , Kaisey S. Mandel

We discuss how Type Ia supernovae (SNe) strongly magnified by foreground galaxy clusters should be self-consistently treated when used in samples fitted for the cosmological parameters. While the cluster lens magnification of a SN can be…

Cosmology and Nongalactic Astrophysics · Physics 2015-06-18 Adi Zitrin , Matthias Redlich , Tom Broadhurst

Observations of high-redshift Type Ia supernovae (SNe~Ia) are used to study the cosmic transparency at optical wavelengths. Assuming a flat $\Lambda$CDM cosmological model based on BAO and CMB results, redshift dependent deviations of SN~Ia…

Cosmology and Nongalactic Astrophysics · Physics 2018-05-16 Ariel Goobar , Suhail Dhawan , Daniel Scolnic

Strongly lensed type Ia supernovae (SNe Ia) provide a unique cosmological probe to address the Hubble tension problem in cosmology. In addition to the sensitivity of the time delays to the value of the Hubble constant, the transient and…

Cosmology and Nongalactic Astrophysics · Physics 2025-06-27 Prajakta Mane , Anupreeta More , Surhud More

The success of Type Ia supernova (SN Ia) distance standardisation for cosmology relies on a single global linear relationship between their peak luminosity and colour, the $\beta$ parameter. However, there are several pieces of evidence and…

Cosmology and Nongalactic Astrophysics · Physics 2021-10-13 S. Gonzalez-Gaitan , T. de Jaeger , L. Galbany , A. Mourao , A. Paulina-Afonso , A. V. Filippenko

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

Type Ia supernovae (SNe Ia) are one of the major tools to determine the cosmological parameters. Utilizing them as distance indicators, it is possible to geometrically survey the universe. To this end, the intrinsic scatter in the…

Astrophysics · Physics 2007-05-23 F. K. Roepke , W. Hillebrandt , S. I. Blinnikov

While luminosity distances from Type Ia supernovae (SNe) provide a powerful probe of cosmological parameters, the accuracy with which these distances can be measured is limited by cosmic magnification due to gravitational lensing by the…

Astrophysics · Physics 2011-05-12 Asantha Cooray , Dragan Huterer , Daniel Holz

We study the utility of a large sample of type Ia supernovae that might be observed in an imaging survey that rapidly scans a large fraction of the sky for constraining dark energy. We consider information from the traditional luminosity…

Astrophysics · Physics 2011-02-11 Andrew R. Zentner , Suman Bhattacharya

The circumstellar (CS) environment is key to understanding progenitors of type Ia supernovae (SNe Ia), as well as the origin of a peculiar extinction property toward SNe Ia for cosmological application. It has been suggested that multiple…

Solar and Stellar Astrophysics · Physics 2015-07-10 Keiichi Maeda , Takaya Nozawa , Takashi Nagao , Kentaro Motohara

We present cosmological constraints from the sample of Type Ia supernovae (SN Ia) discovered during the full five years of the Dark Energy Survey (DES) Supernova Program. In contrast to most previous cosmological samples, in which SN are…

Cosmology and Nongalactic Astrophysics · Physics 2025-07-22 DES Collaboration , T. M. C. Abbott , M. Acevedo , M. Aguena , A. Alarcon , S. Allam , O. Alves , A. Amon , F. Andrade-Oliveira , J. Annis , P. Armstrong , J. Asorey , S. Avila , D. Bacon , B. A. Bassett , K. Bechtol , P. H. Bernardinelli , G. M. Bernstein , E. Bertin , J. Blazek , S. Bocquet , D. Brooks , D. Brout , E. Buckley-Geer , D. L. Burke , H. Camacho , R. Camilleri , A. Campos , A. Carnero Rosell , D. Carollo , A. Carr , J. Carretero , F. J. Castander , R. Cawthon , C. Chang , R. Chen , A. Choi , C. Conselice , M. Costanzi , L. N. da Costa , M. Crocce , T. M. Davis , D. L. DePoy , S. Desai , H. T. Diehl , M. Dixon , S. Dodelson , P. Doel , C. Doux , A. Drlica-Wagner , J. Elvin-Poole , S. Everett , I. Ferrero , A. Ferté , B. Flaugher , R. J. Foley , P. Fosalba , D. Friedel , J. Frieman , C. Frohmaier , L. Galbany , J. García-Bellido , M. Gatti , E. Gaztanaga , G. Giannini , K. Glazebrook , O. Graur , D. Gruen , R. A. Gruendl , G. Gutierrez , W. G. Hartley , K. Herner , S. R. Hinton , D. L. Hollowood , K. Honscheid , D. Huterer , B. Jain , D. J. James , N. Jeffrey , E. Kasai , L. Kelsey , S. Kent , R. Kessler , A. G. Kim , R. P. Kirshner , E. Kovacs , K. Kuehn , O. Lahav , J. Lee , S. Lee , G. F. Lewis , T. S. Li , C. Lidman , H. Lin , U. Malik , J. L. Marshall , P. Martini , J. Mena-Fernández , F. Menanteau , R. Miquel , J. J. Mohr , J. Mould , J. Muir , A. Möller , E. Neilsen , R. C. Nichol , P. Nugent , R. L. C. Ogando , A. Palmese , Y. -C. Pan , M. Paterno , W. J. Percival , M. E. S. Pereira , A. Pieres , A. A. Plazas Malagón , B. Popovic , A. Porredon , J. Prat , H. Qu , M. Raveri , M. Rodríguez-Monroy , A. K. Romer , A. Roodman , B. Rose , M. Sako , E. Sanchez , D. Sanchez Cid , M. Schubnell , D. Scolnic , I. Sevilla-Noarbe , P. Shah , J. Allyn. Smith , M. Smith , M. Soares-Santos , E. Suchyta , M. Sullivan , N. Suntzeff , M. E. C. Swanson , B. O. Sánchez , G. Tarle , G. Taylor , D. Thomas , C. To , M. Toy , M. A. Troxel , B. E. Tucker , D. L. Tucker , S. A. Uddin , M. Vincenzi , A. R. Walker , N. Weaverdyck , R. H. Wechsler , J. Weller , W. Wester , P. Wiseman , M. Yamamoto , F. Yuan , B. Zhang , Y. Zhang

Bayesian graphical models are an efficient tool for modelling complex data and derive self-consistent expressions of the posterior distribution of model parameters. We apply Bayesian graphs to perform statistical analyses of Type Ia…

Cosmology and Nongalactic Astrophysics · Physics 2016-11-15 Cong Ma , Pier-Stefano Corasaniti , Bruce A. Bassett

Type Ia supernovae (SNe Ia) are used as distance indicators to infer the cosmological parameters that specify the expansion history of the universe. Parameter inference depends on the criteria by which the analysis SN sample is selected.…

Cosmology and Nongalactic Astrophysics · Physics 2021-02-19 Alex G. Kim

Type Ia supernovae (SNe Ia) are standarizable candles whose observed light curves can be used to infer their distances, which can in turn be used in cosmological analyses. As the quantity of observed SNe Ia grows with current and upcoming…

Instrumentation and Methods for Astrophysics · Physics 2024-10-29 Ana Sofía M. Uzsoy , Stephen Thorp , Matthew Grayling , Kaisey S. Mandel

We present the analysis underpinning the measurement of cosmological parameters from 207 spectroscopically classified type Ia supernovae (SNe Ia) from the first three years of the Dark Energy Survey Supernova Program (DES-SN), spanning a…

Cosmology and Nongalactic Astrophysics · Physics 2019-06-04 D. Brout , D. Scolnic , R. Kessler , C. B. D'Andrea , T. M. Davis , R. R. Gupta , S. R. Hinton , A. G. Kim , J. Lasker , C. Lidman , E. Macaulay , A. Möller , R. C. Nichol , M. Sako , M. Smith , M. Sullivan , B. Zhang , P. Andersen , J. Asorey , A. Avelino , B. A. Bassett , P. Brown , J. Calcino , D. Carollo , P. Challis , M. Childress , A. Clocchiatti , A. V. Filippenko , R. J. Foley , L. Galbany , K. Glazebrook , J. K. Hoormann , E. Kasai , R. P. Kirshner , K. Kuehn , S. Kuhlmann , G. F. Lewis , K. S. Mandel , M. March , V. Miranda , E. Morganson , D. Muthukrishna , P. Nugent , A. Palmese , Y. -C. Pan , R. Sharp , N. E. Sommer , E. Swann , R. C. Thomas , B. E. Tucker , S. A. Uddin , W. Wester , T. M. C. Abbott , S. Allam , J. Annis , S. Avila , K. Bechtol , G. M. Bernstein , E. Bertin , D. Brooks , D. L. Burke , A. Carnero Rosell , M. Carrasco Kind , J. Carretero , F. J. Castander , C. E. Cunha , L. N. da Costa , C. Davis , J. De Vicente , D. L. DePoy , S. Desai , H. T. Diehl , P. Doel , A. Drlica-Wagner , T. F. Eifler , J. Estrada , E. Fernandez , B. Flaugher , P. Fosalba , J. Frieman , J. García-Bellido , D. Gruen , R. A. Gruendl , G. Gutierrez , W. G. Hartley , D. L. Hollowood , K. Honscheid , B. Hoyle , D. J. James , M. Jarvis , T. Jeltema , E. Krause , O. Lahav , T. S. Li , M. Lima , M. A. G. Maia , J. Marriner , J. L. Marshall , P. Martini , F. Menanteau , C. J. Miller , R. Miquel , R. L. C. Ogando , A. A. Plazas , A. K. Romer , A. Roodman , E. S. Rykoff , E. Sanchez , B. Santiago , V. Scarpine , M. Schubnell , S. Serrano , I. Sevilla-Noarbe , R. C. Smith , M. Soares-Santos , F. Sobreira , E. Suchyta , M. E. C. Swanson , G. Tarle , D. Thomas , M. A. Troxel , D. L. Tucker , V. Vikram , A. R. Walker , Y. Zhang

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

We present a systematic analysis of the cosmological constraints from the "Pantheon Sample" of 1048 Type Ia Supernovae (SNe Ia) in the redshift range $0.01<z<2.3$ compiled by Scolnic et al. (2018). Applying the flux-averaging method for…

Cosmology and Nongalactic Astrophysics · Physics 2019-07-10 Zhongxu Zhai , Yun Wang

We analyze the mean rest-frame ultraviolet (UV) spectrum of Type Ia Supernovae (SNe Ia) and its dispersion using high signal-to-noise Keck-I/LRIS-B spectroscopy for a sample of 36 events at intermediate redshift (z=0.5) discovered by the…

The 2-m aperture Chinese Space Station Telescope (CSST), which observes at wavelengths ranging from 255 to 1000 nm, is expected to start science operations in 2024. An ultra-deep field observation program covering approximately 10 square…

Cosmology and Nongalactic Astrophysics · Physics 2023-05-09 Shi-Yu Li , Yun-Long Li , Tianmeng Zhang , Jozsef Vinko , Eniko Regos , Xiaofeng Wang , Gaobo Xi , Hu Zhan

Type Ia Supernovae (SNe Ia) spectra are compared regarding the coefficient of the largest wavelet scale in their decomposition. Two distinct subgroups were identified and their occurrence is discussed in light of use of SNe Ia as…

Cosmology and Nongalactic Astrophysics · Physics 2015-05-27 Vladan Arsenijevic