A
A. Bouchard
Researcher at McGill University
Publications - 33
Citations - 1366
A. Bouchard is an academic researcher from McGill University. The author has contributed to research in topics: Galaxy & Dwarf galaxy. The author has an hindex of 17, co-authored 31 publications receiving 1210 citations. Previous affiliations of A. Bouchard include Australian National University & University of Cape Town.
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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.
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.
Journal ArticleDOI
ULySS: A Full Spectrum Fitting Package
TL;DR: An easy-to-use full-spectrum fitting package to fit spectroscopic observations against a linear combination of non-linear model components convolved with a parametric line-of-sight velocity distribution and the importance of determining the shape of the continuum simultaneously to the other parameters is shown.
Journal ArticleDOI
The transmutation of dwarf galaxies: stellar populations
TL;DR: In this article, the authors studied transition-type dwarfs and derived their single stellar population parameters and star formation histories, using the full spectrum fitting technique with two independent population synthesis models.
Journal ArticleDOI
Quantified H i morphology – III. Merger visibility times from H i in galaxy simulations
Benne W. Holwerda,Benne W. Holwerda,Nor Pirzkal,Thomas J. Cox,W. J. G. de Blok,J. Weniger,A. Bouchard,S. L. Blyth,K. J. van der Heyden +8 more
TL;DR: In this article, the authors investigated how long a 1:1 merger is visible in radio emission line (Hi) column density images of spiral galaxies in nearby surveys and evaluated the merger visibility times for selection criteria based on four parameters: Concentration, Asymmetry, M20 and the Gini parameter of second order moment of the flux distribution.