Related papers: Results from the Supernova Photometric Classificat…

Supernova Photometric Classification Challenge

We have publicly released a blinded mix of simulated SNe, with types (Ia, Ib, Ic, II) selected in proportion to their expected rate. The simulation is realized in the griz filters of the Dark Energy Survey (DES) with realistic observing…

Instrumentation and Methods for Astrophysics · Physics 2010-04-29 Richard Kessler , Alex Conley , Saurabh Jha , Stephen Kuhlmann

The Dark Energy Survey 5-year photometrically identified Type Ia Supernovae

As part of the cosmology analysis using Type Ia Supernovae (SN Ia) in the Dark Energy Survey (DES), we present photometrically identified SN Ia samples using multi-band light-curves and host galaxy redshifts. For this analysis, we use the…

Cosmology and Nongalactic Astrophysics · Physics 2022-07-21 A. Möller , M. Smith , M. Sako , M. Sullivan , M. Vincenzi , P. Wiseman , P. Armstrong , J. Asorey , D. Brout , D. Carollo , T. M. Davis , C. Frohmaier , L. Galbany , K. Glazebrook , L. Kelsey , R. Kessler , G. F. Lewis , C. Lidman , U. Malik , R. C. Nichol , D. Scolnic , B. E. Tucker , T. M. C. Abbott , M. Aguena , S. Allam , J. Annis , E. Bertin , S. Bocquet , D. Brooks , D. L. Burke , A. Carnero Rosell , M. Carrasco Kind , J. Carretero , F. J. Castander , C. Conselice , M. Costanzi , M. Crocce , L. N. da Costa , J. De Vicente , S. Desai , H. T. Diehl , P. Doel , S. Everett , I. Ferrero , D. A. Finley , B. Flaugher , D. Friedel , J. Frieman , J. García-Bellido , D. W. Gerdes , D. Gruen , R. A. Gruendl , J. Gschwend , G. Gutierrez , K. Herner , S. R. Hinton , D. L. Hollowood , K. Honscheid , D. J. James , K. Kuehn , N. Kuropatkin , O. Lahav , M. March , J. L. Marshall , F. Menanteau , R. Miquel , R. Morgan , A. Palmese , F. Paz-Chinchón , A. Pieres , A. A. Plazas Malagón , A. K. Romer , A. Roodman , E. Sanchez , V. Scarpine , M. Schubnell , S. Serrano , I. Sevilla-Noarbe , E. Suchyta , G. Tarle , D. Thomas , C. To , T. N. Varga

A simple and robust method for automated photometric classification of supernovae using neural networks

A method is presented for automated photometric classification of supernovae (SNe) as Type-Ia or non-Ia. A two-step approach is adopted in which: (i) the SN lightcurve flux measurements in each observing filter are fitted separately; and…

Cosmology and Nongalactic Astrophysics · Physics 2015-06-11 N. V. Karpenka , F. Feroz , M. P. Hobson

Supernova Photometric Classification Pipelines Trained on Spectroscopically Classified Supernovae from the Pan-STARRS1 Medium-Deep Survey

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

The Dark Energy Survey Supernova Program: Modelling selection efficiency and observed core collapse supernova contamination

The analysis of current and future cosmological surveys of type Ia supernovae (SNe Ia) at high-redshift depends on the accurate photometric classification of the SN events detected. Generating realistic simulations of photometric SN surveys…

Cosmology and Nongalactic Astrophysics · Physics 2021-07-14 M. Vincenzi , M. Sullivan , O. Graur , D. Brout , T. M. Davis , C. Frohmaier , L. Galbany , C. P. Gutiérrez , S. R. Hinton , R. Hounsell , L. Kelsey , R. Kessler , E. Kovacs , S. Kuhlmann , J. Lasker , C. Lidman , A. Möller , R. C. Nichol , M. Sako , D. Scolnic , M. Smith , E. Swann , P. Wiseman , J. Asorey , G. F. Lewis , R. Sharp , B. E. Tucker , M. Aguena , S. Allam , S. Avila , E. Bertin , D. Brooks , D. L. Burke , A. Carnero Rosell , M. Carrasco Kind , J. Carretero , F. J. Castander , A. Choi , M. Costanzi , L. N. da Costa , M. E. S. Pereira , J. De Vicente , S. Desai , H. T. Diehl , P. Doel , S. Everett , I. Ferrero , P. Fosalba , J. Frieman , J. García-Bellido , E. Gaztanaga , D. W. Gerdes , D. Gruen , R. A. Gruendl , G. Gutierrez , D. L. Hollowood , K. Honscheid , B. Hoyle , D. J. James , K. Kuehn , N. Kuropatkin , M. A. G. Maia , P. Martini , F. Menanteau , R. Miquel , R. Morgan , A. Palmese , F. Paz-Chinchón , A. A. Plazas , A. K. Romer , E. Sanchez , V. Scarpine , S. Serrano , I. Sevilla-Noarbe , M. Soares-Santos , E. Suchyta , G. Tarle , D. Thomas , C. To , T. N. Varga , A. R. Walker , R. D. Wilkinson

Photometric classification of type Ia supernovae in the SuperNova Legacy Survey with supervised learning

In the era of large astronomical surveys, photometric classification of supernovae (SNe) has become an important research field due to limited spectroscopic resources for candidate follow-up and classification. In this work, we present a…

Instrumentation and Methods for Astrophysics · Physics 2016-12-14 A. Möller , V. Ruhlmann-Kleider , C. Leloup , J. Neveu , N. Palanque-Delabrouille , J. Rich , R. Carlberg , C. Lidman , C. Pritchet

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

The Dark Energy Survey Supernova Program: Cosmological Analysis and Systematic Uncertainties

We present the full Hubble diagram of photometrically-classified Type Ia supernovae (SNe Ia) from the Dark Energy Survey supernova program (DES-SN). DES-SN discovered more than 20,000 SN candidates and obtained spectroscopic redshifts of…

Cosmology and Nongalactic Astrophysics · Physics 2024-01-24 M. Vincenzi , D. Brout , P. Armstrong , B. Popovic , G. Taylor , M. Acevedo , R. Camilleri , R. Chen , T. M. Davis , S. R. Hinton , L. Kelsey , R. Kessler , J. Lee , C. Lidman , A. Möller , H. Qu , M. Sako , B. Sanchez , D. Scolnic , M. Smith , M. Sullivan , P. Wiseman , J. Asorey , B. A. Bassett , D. Carollo , A. Carr , R. J. Foley , C. Frohmaier , L. Galbany , K. Glazebrook , O. Graur , E. Kovacs , K. Kuehn , U. Malik , R. C. Nichol , B. Rose , B. E. Tucker , M. Toy , D. L. Tucker , F. Yuan , T. M. C. Abbott , M. Aguena , O. Alves , F. Andrade-Oliveira , J. Annis , D. Bacon , K. Bechtol , G. M. Bernstein , D. Brooks , D. L. Burke , A. Carnero Rosell , J. Carretero , F. J. Castander , C. Conselice , L. N. da Costa , M. E. S. Pereira , S. Desai , H. T. Diehl , P. Doel , I. Ferrero , B. Flaugher , D. Friedel , J. Frieman , J. García-Bellido , M. Gatti , G. Giannini , D. Gruen , R. A. Gruendl , D. L. Hollowood , K. Honscheid , D. Huterer , D. J. James , N. Kuropatkin , O. Lahav , S. Lee , H. Lin , J. L. Marshall , J. Mena-Fernández , F. Menanteau , R. Miquel , A. Palmese , A. Pieres , A. A. Plazas Malagón , A. Porredon , A. K. Romer , A. Roodman , E. Sanchez , D. Sanchez Cid , M. Schubnell , I. Sevilla-Noarbe , E. Suchyta , M. E. C. Swanson , G. Tarle , C. To , A. R. Walker , N. Weaverdyck

The Dark Energy Survey Supernova Program: Cosmological biases from supernova photometric classification

Cosmological analyses of samples of photometrically-identified Type Ia supernovae (SNe Ia) depend on understanding the effects of 'contamination' from core-collapse and peculiar SN Ia events. We employ a rigorous analysis on…

Cosmology and Nongalactic Astrophysics · Physics 2022-06-15 M. Vincenzi , M. Sullivan , A. Möller , P. Armstrong , B. A. Bassett , D. Brout , D. Carollo , A. Carr , T. M. Davis , C. Frohmaier , L. Galbany , K. Glazebrook , O. Graur , L. Kelsey , R. Kessler , E. Kovacs , G. F. Lewis , C. Lidman , U. Malik , R. C. Nichol , B. Popovic , M. Sako , D. Scolnic , M. Smith , G. Taylor , B. E. Tucker , P. Wiseman , M. Aguena , S. Allam , J. Annis , J. Asorey , D. Bacon , E. Bertin , D. Brooks , D. L. Burke , A. Carnero Rosell , J. Carretero , F. J. Castander , M. Costanzi , L. N. da Costa , M. E. S. Pereira , J. De Vicente , S. Desai , H. T. Diehl , P. Doel , S. Everett , I. Ferrero , B. Flaugher , P. Fosalba , J. Frieman , J. García-Bellido , D. W. Gerdes , D. Gruen , G. Gutierrez , S. R. Hinton , D. L. Hollowood , K. Honscheid , D. J. James , K. Kuehn , N. Kuropatkin , O. Lahav , T. S. Li , M. Lima , M. A. G. Maia , J. L. Marshall , R. Miquel , R. Morgan , R. L. C. Ogando , A. Palmese , F. Paz-Chinchón , A. Pieres , A. A. Plazas Malagón , K. Reil , A. Roodman , E. Sanchez , M. Schubnell , S. Serrano , I. Sevilla-Noarbe , E. Suchyta , G. Tarle , C. To , T. N. Varga , J. Weller , R. D. Wilkinson

Kernel PCA for type Ia supernovae photometric classification

In this work, we propose the use of Kernel Principal Component Analysis (KPCA) combined with k = 1 nearest neighbour algorithm (1NN) as a framework for supernovae (SNe) photometric classification. The classification is entirely based on…

Cosmology and Nongalactic Astrophysics · Physics 2015-03-20 Emille E. O. Ishida , Rafael S. de Souza

Improved Photometric Classification of Supernovae using Deep Learning

We present improved photometric supernovae classification using deep recurrent neural networks. The main improvements over previous work are (i) the introduction of a time gate in the recurrent cell that uses the observational time as an…

Instrumentation and Methods for Astrophysics · Physics 2018-12-12 Adam Moss

Cosmology with Photometric Surveys of Type Ia Supernovae

We discuss the extent to which photometric measurements alone can be used to identify Type Ia supernovae (SNIa) and to determine redshift and other parameters of interest for cosmological studies. We fit the light curve data of the type…

Cosmology and Nongalactic Astrophysics · Physics 2014-11-20 Yan Gong , Asantha Cooray , Xuelei Chen

SCONE: Supernova Classification with a Convolutional Neural Network

We present a novel method of classifying Type Ia supernovae using convolutional neural networks, a neural network framework typically used for image recognition. Our model is trained on photometric information only, eliminating the need for…

Instrumentation and Methods for Astrophysics · Physics 2021-11-10 Helen Qu , Masao Sako , Anais Möller , Cyrille Doux

The Dark Energy Survey: Cosmology Results With ~1500 New High-redshift Type Ia Supernovae Using The Full 5-year Dataset

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

Measuring Cosmological Parameters with Type Ia Supernovae in redMaGiC galaxies

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…

Cosmology and Nongalactic Astrophysics · Physics 2022-11-10 R. Chen , D. Scolnic , E. Rozo , E. S. Rykoff , B. Popovic , R. Kessler , M. Vincenzi , T. M. Davis , P. Armstrong , D. Brout , L. Galbany , L. Kelsey , C. Lidman , A. Möller , B. Rose , M. Sako , M. Sullivan , G. Taylor , P. Wiseman , J. Asorey , A. Carr , C. Conselice , K. Kuehn , G. F. Lewis , E. Macaulay , M. Rodriguez-Monroy , B. E. Tucker , T. M. C. Abbott , M. Aguena , S. Allam , F. Andrade-Oliveira , J. Annis , D. Bacon , E. Bertin , S. Bocquet , D. Brooks , D. L. Burke , A. Carnero Rosell , M. Carrasco Kind , J. Carretero , R. Cawthon , M. Costanzi , L. N. da Costa , M. E. S. Pereira , S. Desai , H. T. Diehl , P. Doel , S. Everett , I. Ferrero , B. Flaugher , D. Friedel , J. Frieman , J. García-Bellido , M. Gatti , E. Gaztanaga , D. Gruen , S. R. Hinton , D. L. Hollowood , K. Honscheid , D. J. James , O. Lahav , M. Lima , M. March , F. Menanteau , R. Miquel , R. Morgan , A. Palmese , F. Paz-Chinchón , A. Pieres , A. A. Plazas Malagón , J. Prat , A. K. Romer , A. Roodman , E. Sanchez , M. Schubnell , S. Serrano , I. Sevilla-Noarbe , M. Smith , M. Soares-Santos , E. Suchyta , G. Tarle , D. Thomas , C. To , D. L. Tucker , T. N. Varga

The Dark Energy Survey 5-year photometrically classified type Ia supernovae without host-galaxy redshifts

Current and future Type Ia Supernova (SN Ia) surveys will need to adopt new approaches to classifying SNe and obtaining their redshifts without spectra if they wish to reach their full potential. We present here a novel approach that uses…

Cosmology and Nongalactic Astrophysics · Physics 2024-08-13 A. Möller , P. Wiseman , M. Smith , C. Lidman , T. M. Davis , R. Kessler , M. Sako , M. Sullivan , L. Galbany , J. Lee , R. C. Nichol , B. O. Sánchez , M. Vincenzi , B. E. Tucker , T. M. C. Abbott , M. Aguena , S. Allam , O. Alves , F. Andrade-Oliveira , D. Bacon , E. Bertin , D. Brooks , A. Carnero Rosell , F. J. Castander , S. Desai , H. T. Diehl , S. Everett , I. Ferrero , D. Friedel , J. Frieman , J. García-Bellido , E. Gaztanaga , G. Giannini , R. A. Gruendl , G. Gutierrez , S. R. Hinton , D. L. Hollowood , K. Honscheid , D. J. James , K. Kuehn , O. Lahav , S. Lee , J. L. Marshall , J. Mena-Fernández , F. Menanteau , R. Miquel , J. Myles , R. L. C. Ogando , A. Palmese , A. Pieres , A. A. Plazas Malagón , A. Roodman , E. Sanchez , D. Sanchez Cid , I. Sevilla-Noarbe , E. Suchyta , M. E. C. Swanson , G. Tarle , D. L. Tucker , A. R. Walker , N. Weaverdyck , L. N. da Costa , M. E. S. Pereira

Photometric classification and redshift estimation of LSST Supernovae

Supernova (SN) classification and redshift estimation using photometric data only have become very important for the Large Synoptic Survey Telescope (LSST), given the large number of SNe that LSST will observe and the impossibility of…

Cosmology and Nongalactic Astrophysics · Physics 2018-05-02 Mi Dai , Steve Kuhlmann , Yun Wang , Eve Kovacs

Photometric SN Ia Candidates from the Three-Year SDSS-II SN Survey Data

We analyze the three-year SDSS-II Superernova (SN) Survey data and identify a sample of 1070 photometric SN Ia candidates based on their multi-band light curve data. This sample consists of SN candidates with no spectroscopic confirmation,…

Cosmology and Nongalactic Astrophysics · Physics 2015-05-28 Masao Sako , Bruce Bassett , Brian Connolly , Benjamin Dilday , Heather Campbell , Joshua Frieman , Larry Gladney , Richard Kessler , Hubert Lampeitl , John Marriner , Ramon Miquel , Robert Nichol , Donald Schneider , Mathew Smith , Jesper Sollerman

Photometric Identification of Type Ia Supernovae at Moderate Redshift

Large photometric surveys with the aim of identifying many Type Ia supernovae (SNe) at moderate redshift are challenged in separating these SNe from other SN types. We are motivated to identify Type Ia SNe based only on broadband…

Astrophysics · Physics 2008-11-26 Benjamin D. Johnson , Arlin P. S. Crotts

Photometric Classification of 2315 Pan-STARRS1 Supernovae with Superphot

The classification of supernovae (SNe) and its impact on our understanding of the explosion physics and progenitors have traditionally been based on the presence or absence of certain spectral features. However, current and upcoming…

High Energy Astrophysical Phenomena · Physics 2020-12-17 Griffin Hosseinzadeh , Frederick Dauphin , V. Ashley Villar , Edo Berger , David O. Jones , Peter Challis , Ryan Chornock , Maria R. Drout , Ryan J. Foley , Robert P. Kirshner , Ragnhild Lunnan , Raffaella Margutti , Dan Milisavljevic , Yen-Chen Pan , Armin Rest , Daniel M. Scolnic , Eugene Magnier , Nigel Metcalfe , Richard Wainscoat , Christopher Waters