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Determination of star formation histories from gaia-type photometric and astrometric survey data

Jørgensen, Bjarne Rosenkilde LU and Lindegren, Lennart LU (2005) Symposium - The Three-Dimensional Universe with Gaia 576. p.171-173
Abstract
To understand the evolution of the Milky Way Galaxy requires detailed knowledge of the star formation history of various populations. The vast amounts of photometric and astrometric data provided by the Gaia mission give unprecedented opportunities in this area. The relationships between the observed data and the ages of stars are however complex and highly non-linear and great care must be taken in analyzing the data. We describe a Bayesian approach to calculate the star formation rate (SFR) from astrophysical data, using a genetic algorithm to solve the basic integral equation. We present simulations showing that the method is capable of resolving structures in the SFR that cannot be seen from a distribution of the individually estimated... (More)
To understand the evolution of the Milky Way Galaxy requires detailed knowledge of the star formation history of various populations. The vast amounts of photometric and astrometric data provided by the Gaia mission give unprecedented opportunities in this area. The relationships between the observed data and the ages of stars are however complex and highly non-linear and great care must be taken in analyzing the data. We describe a Bayesian approach to calculate the star formation rate (SFR) from astrophysical data, using a genetic algorithm to solve the basic integral equation. We present simulations showing that the method is capable of resolving structures in the SFR that cannot be seen from a distribution of the individually estimated stellar ages. (Less)
Please use this url to cite or link to this publication:
author
and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Evolution, Populations, Galaxy, Stellar ages
host publication
European Space Agency, (Special Publication) ESA SP
volume
576
pages
171 - 173
publisher
European Space Agency
conference name
Symposium - The Three-Dimensional Universe with Gaia
conference location
Paris, France
conference dates
2004-10-04 - 2004-10-07
external identifiers
  • wos:000229610000030
  • scopus:23744451342
ISSN
0379-6566
1609-042X
language
English
LU publication?
yes
id
4a32929b-0b36-4ee2-9eb2-d5e839d611b5 (old id 615409)
alternative location
http://www.rssd.esa.int/SA/GAIA/docs/Gaia_2004_Proceedings/Gaia_2004_Proceedings_171.pdf
date added to LUP
2016-04-01 12:33:29
date last changed
2021-02-17 05:33:55
@inproceedings{4a32929b-0b36-4ee2-9eb2-d5e839d611b5,
  abstract     = {To understand the evolution of the Milky Way Galaxy requires detailed knowledge of the star formation history of various populations. The vast amounts of photometric and astrometric data provided by the Gaia mission give unprecedented opportunities in this area. The relationships between the observed data and the ages of stars are however complex and highly non-linear and great care must be taken in analyzing the data. We describe a Bayesian approach to calculate the star formation rate (SFR) from astrophysical data, using a genetic algorithm to solve the basic integral equation. We present simulations showing that the method is capable of resolving structures in the SFR that cannot be seen from a distribution of the individually estimated stellar ages.},
  author       = {Jørgensen, Bjarne Rosenkilde and Lindegren, Lennart},
  booktitle    = {European Space Agency, (Special Publication) ESA SP},
  issn         = {0379-6566},
  language     = {eng},
  pages        = {171--173},
  publisher    = {European Space Agency},
  title        = {Determination of star formation histories from gaia-type photometric and astrometric survey data},
  url          = {http://www.rssd.esa.int/SA/GAIA/docs/Gaia_2004_Proceedings/Gaia_2004_Proceedings_171.pdf},
  volume       = {576},
  year         = {2005},
}