Denis Burgarella (born May 8, 1960 in Marseille, France)[1] is a French astrophysicist working at Laboratoire d'astrophysique de Marseille. He was president of SF2A from 2008 to 2010.[2] He was president of the J1 commission of the International Astronomical Union (IAU) from 2015 to 2018. From 2018 to 2021, he is president of IAU Division J. (Galaxies and Cosmology)[3]
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Denis Burgarella | |
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![]() Denis Burgarella | |
Born | (1960-05-08) 8 May 1960 (age 62) Marseille, France |
Nationality | French |
Alma mater | Aix-Marseille University, Nice University |
Scientific career | |
Fields | Astrophysics |
Institutions | Aix-Marseille University, Laboratoire d'Astrophysique de Marseille |
Doctoral advisor | Jean-Michel Deharveng |
Denis Burgarella studied in Marseille (Lycée Marcel Pagnol) from 1975 to 1978. From 1978 to 1982, he studied at Université Aix-Marseille II (now Aix-Marseille University) DEUG A (Mathematics and Physics), in Licence de Physique, Maîtrise de Physique and DEA in Computer Sciences. After that, he moved to Nice University where he got a PhD in Astrophysics (actually done in LAM), Images of the Universe (Nov. 1987).
His research works are about galaxy at all redshifts (z), in a cosmological context and more specifically on the formation and evolution of galaxies and the detection, identification and study of galaxies in the early universe using a multi-wavelength approach (Spectral Energy Distribution, SED) via observation and modelling. In Burgarella et al. (2020)).[4] Denis Burgarella and his colleagues have identified and characterised (some of) the first dust grains created from stars in the universe at redshifts 5 < z < 10. To understand these galaxies, they have developed, with Médéric Boquien and a team to seven people, a code that models the emission of galaxies from the X-rays to the sub-mm: CIGALE, Code Investigating GALaxy Emission).[5] CIGALE is parallelised in Python 3 and is designed to fit large samples of several ten of thousands observed SEDs by comparing the observed data to several 100 million models.
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