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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 Supernova from the Dark Energy Survey: Simulations to Correct Supernova Distance Biases

We describe catalog-level simulations of Type Ia supernova (SN~Ia) light curves in the Dark Energy Survey Supernova Program (DES-SN), and in low-redshift samples from the Center for Astrophysics (CfA) and the Carnegie Supernova Project…

Cosmology and Nongalactic Astrophysics · Physics 2019-05-13 R. Kessler , D. Brout , C. B. D'Andrea , T. M. Davis , S. R. Hinton , A. G. Kim , J. Lasker , C. Lidman , E. Macaulay , A. Möller , M. Sako , D. Scolnic , M. Smith , M. Sullivan , B. Zhang , P. Andersen , J. Asorey , A. Avelino , J. Calcino , D. Carollo , P. Challis , M. Childress , A. Clocchiatti , S. Crawford , A. V. Filippenko , R. J. Foley , K. Glazebrook , J. K. Hoormann , E. Kasai , R. P. Kirshner , G. F. Lewis , K. S. Mandel , M. March , E. Morganson , D. Muthukrishna , P. Nugent , Y. -C. Pan , N. E. Sommer , E. Swann , R. C. Thomas , B. E. Tucker , S. A. Uddin , T. M. C. Abbott , S. Allam , J. Annis , S. Avila , M. Banerji , K. Bechtol , E. Bertin , D. Brooks , E. Buckley-Geer , D. L. Burke , A. Carnero Rosell , M. Carrasco Kind , J. Carretero , F. J. Castander , M. Crocce , L. N. da Costa , C. Davis , J. De Vicente , S. Desai , H. T. Diehl , P. Doel , T. F. Eifler , B. Flaugher , P. Fosalba , J. Frieman , J. Garcia-Bellido , E. Gaztanaga , D. W. Gerdes , D. Gruen , R. A. Gruendl , G. Gutierrez , W. G. Hartley , D. L. Hollowood , K. Honscheid , D. J. James , M. W. G. Johnson , M. D. Johnson , E. Krause , K. Kuehn , N. Kuropatkin , O. Lahav , T. S. Li , M. Lima , J. L. Marshall , P. Martini , F. Menanteau , C. J. Miller , R. Miquel , B. Nord , A. A. Plazas , A. Roodman , E. Sanchez , V. Scarpine , R. Schindler , M. Schubnell , S. Serrano , I. Sevilla-Noarbe , M. Soares-Santos , F. Sobreira , E. Suchyta , G. Tarle , D. Thomas , A. R. Walker , Y. Zhang

The Foundation Supernova Survey: Measuring Cosmological Parameters with Supernovae from a Single Telescope

Measurements of the dark energy equation-of-state parameter, $w$, have been limited by uncertainty in the selection effects and photometric calibration of $z<0.1$ Type Ia supernovae (SNe Ia). The Foundation Supernova Survey is designed to…

Cosmology and Nongalactic Astrophysics · Physics 2019-08-14 D. O. Jones , D. M. Scolnic , R. J. Foley , A. Rest , R. Kessler , P. M. Challis , K. C. Chambers , D. A. Coulter , K. G. Dettman , M. M. Foley , M. E. Huber , S. W. Jha , E. Johnson , C. D. Kilpatrick , R. P. Kirshner , J. Manuel , G. Narayan , Y. -C. Pan , A. G. Riess , A. S. B. Schultz , M. R. Siebert , E. Berger , R. Chornock , H. Flewelling , E. A. Magnier , S. J. Smartt , K. W. Smith , R. J. Wainscoat , C. Waters , M. Willman

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

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

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

Utilizing Type Ia Supernovae in a Large, Fast, Imaging Survey to Constrain Dark Energy

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

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

Current observational constraints on holographic dark energy model

We consider the cosmological constraints on the holographic dark energy model by using the data set available from the type Ia supernovae (SNIa), CMB and BAO observations. The constrained parameters are critical to determine the…

High Energy Physics - Theory · Physics 2009-10-06 L. N. Granda , W. Cardona , A. Oliveros

Type Ia supernova science 2010-2020

In the next decade Type Ia supernovae (SNe Ia) will be used to test theories predicting changes in the Dark Energy equation of state with time. Ultimately this requires a dedicated space mission like JDEM. SNe Ia are mature cosmological…

Solar and Stellar Astrophysics · Physics 2009-03-06 D. A. Howell , A. Conley , M. Della Valle , P. E. Nugent , S. Perlmutter , G. H. Marion , K. Krisciunas , C. Badenes , P. Mazzali , G. Aldering , P. Antilogus , E. Baron , A. Becker , C. Baltay , S. Benetti , S. Blondin , D. Branch , E. F. Brown , S. Deustua , A. Ealet , R. S. Ellis , D. Fouchez , W. Freedman , A. Gal-Yam , S. Jha , D. Kasen , R. Kessler , A. G. Kim , D. C. Leonard , W. Li , M. Livio , D. Maoz , F. Mannucci , T. Matheson , J. D. Neill , K. Nomoto , N. Panagia , K. Perrett , M. Phillips , D. Poznanski , R. Quimby , A. Rest , A. Riess , M. Sako , A. M. Soderberg , L. Strolger , R. Thomas , M. Turatto , S. van Dyk , W. M. Wood-Vasey

Extensive search for bias in SNIa data

The use of advanced statistical analysis tools is crucial in order to improve cosmological parameter estimates via removal of systematic errors and identification of previously unaccounted for cosmological signals. Here we demonstrate the…

Cosmology and Nongalactic Astrophysics · Physics 2014-04-29 Caroline Heneka , Valerio Marra , Luca Amendola

Evaluating Cosmological Biases using Photometric Redshifts for Type Ia Supernova Cosmology with the Dark Energy Survey Supernova Program

Cosmological analyses with Type Ia Supernovae (SNe Ia) have traditionally been reliant on spectroscopy for both classifying the type of supernova and obtaining reliable redshifts to measure the distance-redshift relation. While obtaining a…

Cosmology and Nongalactic Astrophysics · Physics 2024-07-25 R. Chen , D. Scolnic , M. Vincenzi , E. S. Rykoff , J. Myles , R. Kessler , B. Popovic , M. Sako , M. Smith , P. Armstrong , D. Brout , T. M. Davis , L. Galbany , J. Lee , C. Lidman , A. Möller , B. O. Sánchez , M. Sullivan , H. Qu , P. Wiseman , T. M. C. Abbott , M. Aguena , S. Allam , O. Alves , F. Andrade-Oliveira , J. Annis , D. Bacon , D. Brooks , A. Carnero Rosell , J. Carretero , A. Choi , C. Conselice , L. N. da Costa , M. E. S. Pereira , H. T. Diehl , P. Doel , S. Everett , I. Ferrero , B. Flaugher , J. Frieman , J. García-Bellido , M. Gatti , E. Gaztanaga , G. Giannini , D. Gruen , R. A. Gruendl , G. Gutierrez , K. Herner , S. R. Hinton , D. L. Hollowood , K. Honscheid , D. Huterer , D. J. James , K. Kuehn , M. Lima , J. L. Marshall , J. Mena-Fernández , F. Menanteau , R. Miquel , R. L. C. Ogando , A. Palmese , A. Pieres , A. A. Plazas Malagón , A. Roodman , S. Samuroff , E. Sanchez , D. Sanchez Cid , I. Sevilla-Noarbe , E. Suchyta , M. E. C. Swanson , G. Tarle , C. To , D. L. Tucker , V. Vikram , N. Weaverdyck , J. Weller

Constraining the SN Ia Host Galaxy Dust Law Distribution and Mass Step: Hierarchical BayeSN Analysis of Optical and Near-Infrared Light Curves

We use the BayeSN hierarchical probabilistic SED model to analyse the optical-NIR ($BVriYJH$) light curves of 86 Type Ia supernovae (SNe Ia) from the Carnegie Supernova Project to investigate the SN Ia host galaxy dust law distribution and…

Cosmology and Nongalactic Astrophysics · Physics 2022-10-21 Stephen Thorp , Kaisey S. Mandel

Monte Carlo Simulations of Type Ia Supernova Observations in Supernova Surveys

We have performed Monte Carlo simulations of type Ia supernova (SN Ia) surveys to quantify their efficiency in discovering peculiar overluminous and underluminous SNe Ia. We determined how the type of survey (magnitude-limited,…

Astrophysics · Physics 2009-10-31 Weidong Li , Alexei V. Filippenko , Adam G. Riess

Constraining dark energy cosmologies with spatial curvature using Supernovae JWST forecasting

Recent cosmological tensions, in particular, to infer the local value of the Hubble constant $H_0$, have developed new independent techniques to constrain cosmological parameters in several cosmologies. Moreover, even when the concordance…

Cosmology and Nongalactic Astrophysics · Physics 2024-03-14 Pablo M. Maldonado Alonso , Celia Escamilla-Rivera , Rodrigo Sandoval-Orozco

New Constraints on Anisotropic Expansion from Supernovae Type Ia

We re-examine the contentious question of constraints on anisotropic expansion from Type Ia supernovae (SNIa) in the light of a novel determination of peculiar velocities, which are crucial to test isotropy with supernovae out to distances…

Cosmology and Nongalactic Astrophysics · Physics 2022-06-08 W. Rahman , R. Trotta , S. S. Boruah , M. J. Hudson , D. A. van Dyk

Probing Systematic Bias in Low-Redshift Type Ia Supernova Measurements by Cross Analyzing Surface Brightness and Hubble Residuals

For low-redshift (z < 0.1) Type Ia supernovae (SN Ia) samples used in several cosmological analyses over the past decade, we probe for systematic bias by looking for correlations between surface brightness (SB) measurements and Hubble…

Cosmology and Nongalactic Astrophysics · Physics 2021-03-17 H. Solak , R. Kessler , D. O. Jones

ZTF SN~Ia DR2: Cosmology-independent constraints on Type Ia supernova standardisation from supernova siblings

Understanding Type Ia supernovae (SNe~Ia) and the empirical standardisation relations that make them excellent distance indicators is vital to improving cosmological constraints. SN~Ia ``siblings", i.e. two or more SNe~Ia in the same host…

Cosmology and Nongalactic Astrophysics · Physics 2025-10-29 S. Dhawan , E. Mortsell , J. Johansson , A. Goobar , M. Rigault , M. Smith , K. Maguire , J. Nordin , G. Dimitriadis , P. E. Nugent , L. Galbany , J. Sollerman , T. de Jaeger , J. H. Terwel , Y. -L. Kim , Umut Burgaz , G. Helou , J. Purdum , S. L. Groom , R. Laher , B. Healy

Using Host Galaxy Photometric Redshifts to Improve Cosmological Constraints with Type Ia Supernova in the LSST Era

We perform a rigorous cosmology analysis on simulated type Ia supernovae (SN~Ia) and evaluate the improvement from including photometric host-galaxy redshifts compared to using only the "zspec" subset with spectroscopic redshifts from the…

Cosmology and Nongalactic Astrophysics · Physics 2023-03-08 Ayan Mitra , Richard Kessler , Surhud More , Renee Hlozek , The LSST Dark Energy Science Collaboration

Recovered SN Ia rate from simulated LSST images

The Legacy Survey of Space and Time (LSST) will revolutionize Time Domain Astronomy by detecting millions of transients. In particular, it is expected to increment the number of type Ia supernovae (SNIa) of a factor of 100 compared to…

Cosmology and Nongalactic Astrophysics · Physics 2024-05-29 Vincenzo Petrecca , Maria Teresa Botticella , Enrico Cappellaro , Laura Greggio , Bruno Sánchez , Anais Möller , Masao Sako , Melissa Graham , Maurizio Paolillo , Federica Bianco , the LSST Dark Energy Science Collaboration