Determination of star formation histories from gaia-type photometric and astrometric survey data
(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:
https://lup.lub.lu.se/record/615409
- author
- Jørgensen, Bjarne Rosenkilde LU and Lindegren, Lennart LU
- organization
- publishing date
- 2005
- 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
- 2024-01-09 00:44:15
@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}}, keywords = {{Evolution; Populations; Galaxy; Stellar ages}}, 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}}, }