Related papers: A new approach for obtaining cosmological constrai…

The Pantheon+ Analysis: Cosmological Constraints

We present constraints on cosmological parameters from the Pantheon+ analysis of 1701 light curves of 1550 distinct Type Ia supernovae (SNe Ia) ranging in redshift from $z=0.001$ to 2.26. This work features an increased sample size,…

Cosmology and Nongalactic Astrophysics · Physics 2022-11-16 Dillon Brout , Dan Scolnic , Brodie Popovic , Adam G. Riess , Joe Zuntz , Rick Kessler , Anthony Carr , Tamara M. Davis , Samuel Hinton , David Jones , W. D'Arcy Kenworthy , Erik R. Peterson , Khaled Said , Georgie Taylor , Noor Ali , Patrick Armstrong , Pranav Charvu , Arianna Dwomoh , Antonella Palmese , Helen Qu , Benjamin M. Rose , Christopher W. Stubbs , Maria Vincenzi , Charlotte M. Wood , Peter J. Brown , Rebecca Chen , Ken Chambers , David A. Coulter , Mi Dai , Georgios Dimitriadis , Alexei V. Filippenko , Ryan J. Foley , Saurabh W. Jha , Lisa Kelsey , Robert P. Kirshner , Anais Möller , Jessie Muir , Seshadri Nadathur , Yen-Chen Pan , Armin Rest , Cesar Rojas-Bravo , Masao Sako , Matthew R. Siebert , Mat Smith , Benjamin E. Stahl , Phil Wiseman

Forecast of Cosmological Constraints with Type Ia Supernovae from the Chinese Space Station Telescope

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

First Cosmology Results Using Type Ia Supernovae from the Dark Energy Survey: Effects of Chromatic Corrections to Supernova Photometry on Measurements of Cosmological Parameters

Calibration uncertainties have been the leading systematic uncertainty in recent analyses using type Ia Supernovae (SNe Ia) to measure cosmological parameters. To improve the calibration, we present the application of Spectral Energy…

Cosmology and Nongalactic Astrophysics · Physics 2019-03-13 J. Lasker , R. Kessler , D. Scolnic , D. Brout , C. B. D'Andrea , T. M. Davis , S. R. Hinton , A. G. Kim , C. Lidman , E. Macaulay , A. Möller , M. Sako , M. Smith , M. Sullivan , J. Asorey , B. A. Bassett , D. L. Burke , J. Calcino , D. Carollo , M. Childress , J. Frieman , J. K. Hoormann , E. Kasai , T. S. Li , M. March , E. Morganson , E. S. Rykoff , E. Swann , B. E. Tucker , W. Wester , T. M. C. Abbott , S. Allam , J. Annis , S. Avila , K. Bechtol , E. Bertin , D. Brooks , A. Carnero Rosell , M. Carrasco Kind , J. Carretero , F. J. Castander , L. N. da Costa , C. Davis , J. De Vicente , H. T. Diehl , P. Doel , A. Drlica-Wagner , B. Flaugher , J. Garcia-Bellido , E. Gaztanaga , D. Gruen , R. A. Gruendl , J. Gschwend , G. Gutierrez , D. L. Hollowood , K. Honscheid , D. J. James , S. Kent , E. Krause , R. Kron , K. Kuehn , N. Kuropatkin , M. Lima , M. A. G. Maia , J. L. Marshall , P. Martini , F. Menanteau , C. J. Miller , R. Miquel , A. A. Plazas , E. Sanchez , V. Scarpine , I. Sevilla-Noarbe , R. C. Smith , M. Soares-Santos , F. Sobreira , E. Suchyta , M. E. C. Swanson , G. Tarle , D. L. Tucker , A. R. Walker

Variational Inference for Acceleration of SN Ia Photometric Distance Estimation with BayeSN

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

Approximate Bayesian Computation with Deep Learning and Conformal prediction

Approximate Bayesian Computation (ABC) methods are commonly used to approximate posterior distributions in models with unknown or computationally intractable likelihoods. Classical ABC methods are based on nearest neighbor type algorithms…

Methodology · Statistics 2025-06-24 Meili Baragatti , Casenave Céline , Bertrand Cloez , David Métivier , Isabelle Sanchez

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey

We study supernova (SN) classification using the machine learning method of the Recurrent Neural Network (RNN) in the Chinese Space Station Survey Telescope Ultra-Deep Field (CSST-UDF) photometric survey, and explore the improvement of the…

Cosmology and Nongalactic Astrophysics · Physics 2025-11-05 Minglin Wang , Yan Gong , Dejia Zhou , Xuelei Chen

First Cosmology Results using Type Ia Supernovae from the Dark Energy Survey: Constraints on Cosmological Parameters

We present the first cosmological parameter constraints using measurements of type Ia supernovae (SNe Ia) from the Dark Energy Survey Supernova Program (DES-SN). The analysis uses a subsample of 207 spectroscopically confirmed SNe Ia from…

Cosmology and Nongalactic Astrophysics · Physics 2019-05-13 T. M. C. Abbott , S. Allam , P. Andersen , C. Angus , J. Asorey , A. Avelino , S. Avila , B. A. Bassett , K. Bechtol , G. M. Bernstein , E. Bertin , D. Brooks , D. Brout , P. Brown , D. L. Burke , J. Calcino , A. Carnero Rosell , D. Carollo , M. Carrasco Kind , J. Carretero , R. Casas , F. J. Castander , R. Cawthon , P. Challis , M. Childress , A. Clocchiatti , C. E. Cunha , C. B. D'Andrea , L. N. da Costa , C. Davis , T. M. Davis , J. De Vicente , D. L. DePoy , S. Desai , H. T. Diehl , P. Doel , A. Drlica-Wagner , T. F. Eifler , A. E. Evrard , E. Fernandez , A. V. Filippenko , D. A. Finley , B. Flaugher , R. J. Foley , P. Fosalba , J. Frieman , L. Galbany , J. Garcia-Bellido , E. Gaztanaga , T. Giannantonio , K. Glazebrook , D. A. Goldstein , S. Gonzalez-Gaitan , D. Gruen , R. A. Gruendl , J. Gschwend , R. R. Gupta , G. Gutierrez , W. G. Hartley , S. R. Hinton , D. L. Hollowood , K. Honscheid , J. K. Hoormann , B. Hoyle , D. J. James , T. Jeltema , M. W. G. Johnson , M. D. Johnson , E. Kasai , S. Kent , R. Kessler , A. G. Kim , R. P. Kirshner , E. Kovacs , E. Krause , R. Kron , K. Kuehn , S. Kuhlmann , N. Kuropatkin , O. Lahav , J. Lasker , G. F. Lewis , T. S. Li , C. Lidman , M. Lima , H. Lin , E. Macaulay , M. A. G. Maia , K. S. Mandel , M. March , J. Marriner , J. L. Marshall , P. Martini , F. Menanteau , C. J. Miller , R. Miquel , V. Miranda , J. J. Mohr , E. Morganson , D. Muthukrishna , A. Möller , E. Neilsen , R. C. Nichol , B. Nord , P. Nugent , R. L. C. Ogando , A. Palmese , Y. -C. Pan , A. A. Plazas , M. Pursiainen , A. K. Romer , A. Roodman , E. Rozo , E. S. Rykoff , M. Sako , E. Sanchez , V. Scarpine , R. Schindler , M. Schubnell , D. Scolnic , S. Serrano , I. Sevilla-Noarbe , R. Sharp , M. Smith , M. Soares-Santos , F. Sobreira , N. E. Sommer , H. Spinka , E. Suchyta , M. Sullivan , E. Swann , G. Tarle , D. Thomas , R. C. Thomas , M. A. Troxel , B. E. Tucker , S. A. Uddin , A. R. Walker , W. Wester , P. Wiseman , R. C. Wolf , B. Yanny , B. Zhang , Y. Zhang

Bayesian Single-Epoch Photometric Classification of Supernovae

(abridged) Ongoing supernova (SN) surveys find hundreds of candidates, that require confirmation for their use. Traditional classification based on followup spectroscopy of all candidates is virtually impossible for these large samples. We…

Astrophysics · Physics 2008-11-26 Dovi Poznanski , Dan Maoz , Avishay Gal-Yam

Type Ia Supernova Light Curve Inference: Hierarchical Bayesian Analysis in the Near Infrared

We present a comprehensive statistical analysis of the properties of Type Ia SN light curves in the near infrared using recent data from PAIRITEL and the literature. We construct a hierarchical Bayesian framework, incorporating several…

Cosmology and Nongalactic Astrophysics · Physics 2009-10-21 Kaisey S. Mandel , W. Michael Wood-Vasey , Andrew S. Friedman , Robert P. Kirshner

Accounting for Selection Effects in Supernova Cosmology with Simulation-Based Inference and Hierarchical Bayesian Modelling

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

Light curve studies of nearby Type Ia Supernovae with a Multi-band Stretch method

We create new U, B, V, R and I-band light curve templates of type Ia Supernovae (SNe Ia) and re-analyze 122 nearby (redshift < 0.11) SNe Ia using a new ``Multi-band Stretch method,'' which is a revised Stretch method (cf. Perlmutter et al.…

Astrophysics · Physics 2009-11-13 N. Takanashi , M. Doi , N. Yasuda

A Precise Distance Indicator: Type Ia Supernova Multicolor Light Curve Shapes

We present an empirical method that uses multicolor light curve shapes (MLCS) to estimate the luminosity, distance, and total line-of-sight extinction of Type Ia supernovae (SN Ia). The empirical correlation between the MLCS and the…

Astrophysics · Physics 2009-07-09 Adam Riess , William Press , Robert Kirshner

A New Method to Calibrate the Magnitudes of Type Ia Supernovae at Maximum Light

We present a new empirical method for fitting multicolor light curves of Type Ia supernovae. Our method combines elements from two widely used techniques in the literature: the delta_m15 template fitting method and the Multicolor…

Astrophysics · Physics 2008-11-26 Jose Luis Prieto , Armin Rest , Nicholas B. Suntzeff

STAR NRE: Solving supernova selection effects with set-based truncated auto-regressive neural ratio estimation

Accounting for selection effects in supernova type Ia (SN Ia) cosmology is crucial for unbiased cosmological parameter inference -- even more so for the next generation of large, mostly photometric-only surveys. The conventional "bias…

Cosmology and Nongalactic Astrophysics · Physics 2025-08-01 Konstantin Karchev , Roberto Trotta

Accelerating Approximate Bayesian Computation with Quantile Regression: Application to Cosmological Redshift Distributions

Approximate Bayesian Computation (ABC) is a method to obtain a posterior distribution without a likelihood function, using simulations and a set of distance metrics. For that reason, it has recently been gaining popularity as an analysis…

Cosmology and Nongalactic Astrophysics · Physics 2018-02-28 Tomasz Kacprzak , Jörg Herbel , Adam Amara , Alexandre Réfrégier

Cosmological Prediction of the CSST Ultra Deep Field Type Ia Supernova Photometric Survey

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

Union Through UNITY: Cosmology with 2,000 SNe Using a Unified Bayesian Framework

Type Ia supernovae (SNe Ia) were instrumental in establishing the acceleration of the universe's expansion. By virtue of their combination of distance reach, precision, and prevalence, they continue to provide key cosmological constraints,…

Cosmology and Nongalactic Astrophysics · Physics 2025-06-23 David Rubin , Greg Aldering , Marc Betoule , Andy Fruchter , Xiaosheng Huang , Alex G. Kim , Chris Lidman , Eric Linder , Saul Perlmutter , Pilar Ruiz-Lapuente , Nao Suzuki

Supercal: Cross-Calibration of Multiple Photometric Systems to Improve Cosmological Measurements with Type Ia Supernovae

Current cosmological analyses which use Type Ia supernova (SN Ia) observations combine SN samples to expand the redshift range beyond that of a single sample and increase the overall sample size. The inhomogeneous photometric calibration…

Instrumentation and Methods for Astrophysics · Physics 2015-12-23 D. Scolnic , S. Casertano , A. G. Riess , A. Rest , E. Schlafly , R. J. Foley , D. Finkbeiner , C. Tang , W. S. Burgett , K. C. Chambers , P. W. Draper , H. Flewelling , K. W. Hodapp , M. E. Huber , N. Kaiser , R. P. Kudritzki , E. A. Magnier , N. Metcalfe , C. W. Stubbs

The Dark Energy Survey Supernova Program: Investigating Beyond-$\Lambda$CDM

We report constraints on a variety of non-standard cosmological models using the full 5-year photometrically-classified type Ia supernova sample from the Dark Energy Survey (DES-SN5YR). Both Akaike Information Criterion (AIC) and…

Cosmology and Nongalactic Astrophysics · Physics 2024-09-16 R. Camilleri , T. M. Davis , M. Vincenzi , P. Shah , J. Frieman , R. Kessler , P. Armstrong , D. Brout , A. Carr , R. Chen , L. Galbany , K. Glazebrook , S. R. Hinton , J. Lee , C. Lidman , A. Möller , B. Popovic , H. Qu , M. Sako , D. Scolnic , M. Smith , M. Sullivan , B. O. Sánchez , G. Taylor , M. Toy , P. Wiseman , T. M. C. Abbott , M. Aguena , S. Allam , O. Alves , J. Annis , S. Avila , D. Bacon , E. Bertin , S. Bocquet , D. Brooks , D. L. Burke , A. Carnero Rosell , J. Carretero , F. J. Castander , L. N. da Costa , M. E. S. Pereira , S. Desai , H. T. Diehl , P. Doel , C. Doux , S. Everett , I. Ferrero , B. Flaugher , P. Fosalba , J. García-Bellido , M. Gatti , E. Gaztanaga , G. Giannini , D. Gruen , D. L. Hollowood , K. Honscheid , D. J. James , K. Kuehn , O. Lahav , S. Lee , J. L. Marshall , J. Mena-Fernández , R. Miquel , J. Muir , J. Myles , R. L. C. Ogando , A. Pieres , A. A. Plazas Malagón , A. Porredon , M. Rodriguez-Monroy , E. Sanchez , D. Sanchez Cid , M. Schubnell , I. Sevilla-Noarbe , E. Suchyta , M. E. C. Swanson , G. Tarle , A. R. Walker , N. Weaverdyck

Cosmology with Photometrically-Classified Type Ia Supernovae from the SDSS-II Supernova Survey

We present the cosmological analysis of 752 photometrically-classified Type Ia Supernovae (SNe Ia) obtained from the full Sloan Digital Sky Survey II (SDSS-II) Supernova (SN) Survey, supplemented with host-galaxy spectroscopy from the…

Cosmology and Nongalactic Astrophysics · Physics 2013-08-05 Heather Campbell , Chris B. D'Andrea , Robert C. Nichol , Masao Sako , Mathew Smith , Hubert Lampeitl , Matthew D. Olmstead , Bruce Bassett , Rahul Biswas , Peter Brown , David Cinabro , Kyle S. Dawson , Ben Dilday , Ryan J. Foley , Joshua A. Frieman , Peter Garnavich , Renee Hlozek , Saurabh W. Jha , Steve Kuhlmann , Martin Kunz , John Marriner , Ramon Miquel , Michael Richmond , Adam Riess , Donald P. Schneider , Jesper Sollerman , Matt Taylor , Gong-Bo Zhao