J. Neveu
University of Paris-Sud
14 Papers
247 Citations
J. Neveu is an academic researcher from University of Paris-Sud. The author has contributed to research in topics: Supernova & Metric expansion of space. The author has an hindex of 7, co-authored 10 publications.
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Papers
Improved cosmological constraints from a joint analysis of the SDSS-II and SNLS supernova samples
Marc Betoule,Richard Kessler,Julien Guy,Julien Guy,J. Mosher,D. Hardin,Rahul Biswas,Pierre Astier,P. El-Hage,M. Konig,Steve Kuhlmann,John Marriner,Reynald Pain,Nicolas Regnault,Christophe Balland,Bruce A. Bassett,Bruce A. Bassett,Peter J. Brown,Heather Campbell,Heather Campbell,Raymond G. Carlberg,F. Cellier-Holzem,D. Cinabro,A. Conley,C. B. D'Andrea,Darren L. DePoy,M. Doi,Richard S. Ellis,Sebastien Fabbro,Alexei V. Filippenko,Ryan J. Foley,Joshua A. Frieman,Joshua A. Frieman,Dominique Fouchez,Lluís Galbany,Lluís Galbany,Ariel Goobar,Ravi R. Gupta,Ravi R. Gupta,Gary J. Hill,Renée Hlozek,Craig J. Hogan,Craig J. Hogan,Isobel Hook,Dale Andrew Howell,Dale Andrew Howell,Saurabh Jha,L. Le Guillou,Giorgos Leloudas,Giorgos Leloudas,C. Lidman,Jennifer L. Marshall,Anais Möller,A. Mourao,J. Neveu,Robert C. Nichol,Matthew D. Olmstead,Nathalie Palanque-Delabrouille,Saul Perlmutter,J. L. Prieto,Christopher J. Pritchet,Michael Richmond,Adam G. Riess,Adam G. Riess,V. Ruhlmann-Kleider,Masao Sako,K. Schahmaneche,D. P. Schneider,M. R. Smith,Jesper Sollerman,Mark Sullivan,Nicholas A. Walton,C. Wheeler +72 more
TL;DR: In this article, the authors presented cosmological constraints from a joint analysis of type Ia supernova (SN Ia) observations obtained by the SDSS-II and SNLS collaborations.
Improved cosmological constraints from a joint analysis of the SDSS-II and SNLS supernova samples
Marc Betoule,Richard Kessler,Julien Guy,Julien Guy,J. Mosher,D. Hardin,Rahul Biswas,Pierre Astier,P. El-Hage,M. Konig,Steve Kuhlmann,John Marriner,Reynald Pain,Nicolas Regnault,Christophe Balland,Bruce A. Bassett,Bruce A. Bassett,Peter J. Brown,Heather Campbell,Heather Campbell,Raymond G. Carlberg,F. Cellier-Holzem,D. Cinabro,A. Conley,C. B. D'Andrea,Darren L. DePoy,M. Doi,Richard S. Ellis,Sebastien Fabbro,Alexei V. Filippenko,Ryan J. Foley,Joshua A. Frieman,Joshua A. Frieman,Dominique Fouchez,Lluís Galbany,Lluís Galbany,Ariel Goobar,Ravi R. Gupta,Ravi R. Gupta,Gary J. Hill,Renée Hlozek,Craig J. Hogan,Craig J. Hogan,Isobel Hook,Dale Andrew Howell,Dale Andrew Howell,Saurabh Jha,L. Le Guillou,Giorgos Leloudas,Giorgos Leloudas,C. Lidman,Jennifer L. Marshall,Anais Möller,A. Mourao,J. Neveu,Robert C. Nichol,Matthew D. Olmstead,Nathalie Palanque-Delabrouille,Saul Perlmutter,J. L. Prieto,Christopher J. Pritchet,Michael Richmond,Adam G. Riess,Adam G. Riess,V. Ruhlmann-Kleider,Masao Sako,K. Schahmaneche,D. P. Schneider,M. R. Smith,Jesper Sollerman,Mark Sullivan,Nicholas A. Walton,C. Wheeler +72 more
TL;DR: In this article, cosmological constraints from a joint analysis of type Ia supernova (SN Ia) observations obtained by the SDSS-II and SNLS collaborations are presented.
Photometric classification of type Ia supernovae in the SuperNova Legacy Survey with supervised learning
Anais Möller,Anais Möller,V. Ruhlmann-Kleider,C. Leloup,J. Neveu,Nathalie Palanque-Delabrouille,Jeffrey A. Rich,Raymond G. Carlberg,C. Lidman,C. Lidman,Chris Pritchet +10 more
TL;DR: The feasibility of machine learning classification in a high-$z SN survey with application to real SN data is demonstrated and the differences between classifying simulated SNe, and real SN survey data are investigated.
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Experimental constraints on the uncoupled Galileon model from SNLS3 data and other cosmological probes
J. Neveu,V. Ruhlmann-Kleider,A. Conley,Nathalie Palanque-Delabrouille,Pierre Astier,Julien Guy,E. Babichev +6 more
TL;DR: In this paper, the authors derived a new definition of the Galileon parameters, which allowed them to avoid having to choose initial conditions for the field and showed that the model remains consistent with current observations and is still competitive with the ΛCDM model, contrary to what was concluded in recent publications.
Photometric classification of type Ia supernovae in the SuperNova Legacy Survey with supervised learning
Anais Möller,V. Ruhlmann-Kleider,C. Leloup,J. Neveu,Nathalie Palanque-Delabrouille,Jeffrey A. Rich,Raymond G. Carlberg,C. Lidman,C. Lidman,Chris Pritchet +9 more
TL;DR: In this article, a method to classify type Ia supernovae based on machine learning with redshifts that are derived from the SN light-curves was proposed and implemented on real data from the Supernova Legacy Survey (SNLS) deferred pipeline.
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