P
Philippe Prugniel
Researcher at University of Lyon
Publications - 69
Citations - 5668
Philippe Prugniel is an academic researcher from University of Lyon. The author has contributed to research in topics: Galaxy & Elliptical galaxy. The author has an hindex of 26, co-authored 68 publications receiving 4995 citations. Previous affiliations of Philippe Prugniel include Janssen Pharmaceutica & Centre national de la recherche scientifique.
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Journal ArticleDOI
Hyperleda. I. Identification and designation of galaxies
G. Paturel,C. Petit,Philippe Prugniel,Gilles Theureau,J. Rousseau,M. Brouty,P. Dubois,L. Cambresy +7 more
TL;DR: In this paper, the authors presented a new catalog of principal galaxies (PGC2003), which constitutes the framework of the HYPERLEDA database that supersedes the LEDA one, with more data and more capabilities.
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HyperLEDA. III. The catalogue of extragalactic distances
Dmitry Makarov,Dmitry Makarov,Philippe Prugniel,Nataliya Terekhova,Hélène M. Courtois,Isabelle Vauglin +5 more
TL;DR: In this paper, the authors present a catalogue of redshift-independent distances included in the HyperLEDA database, which is actively maintained to be up-to-date, and the current version counts 6640 distance measurements for 2335 galaxies compiled from 430 published articles.
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A database of high and medium-resolution stellar spectra ?;??
TL;DR: In this paper, the authors presented a database of 908 spectra of 709 stars obtained with the ELODIE spectrograph at the Observatoire de Haute-Provence.
Journal ArticleDOI
HyperLEDA. III. The catalogue of extragalactic distances
Dmitry Makarov,Dmitry Makarov,Philippe Prugniel,Nataliya Terekhova,Hélène M. Courtois,Isabelle Vauglin +5 more
TL;DR: In this article, the compilation catalogue of redshift independent distances included in the HyperLEDA database is presented, which is actively maintained to be up-to-date and the current version counts 6640 distance measurements for 2335 galaxies compiled from 430 published articles.
Journal ArticleDOI
ULySS: a full spectrum fitting package
TL;DR: In this paper, the authors developed ULySS, a package to fit spectroscopic observations against a linear combination of non-linear model components convolved with a parametric line-of-sight velocity distribution.