BibSonomy :: publication :: SLUG: A new way to Stochastically Light Up Galaxies

SLUG: A new way to Stochastically Light Up Galaxies

Michele Fumagalli, Robert da Silva, Mark Krumholz, and Frank Bigiel. (2010)cite arxiv:1009.0524 Comment: 4 pages, 1 figure. To appear in "UP: Have Observations Revealed a Variable Upper End of the Initial Mass Function?", Astronomical Society of the Pacific Conference Series.

@misc{Fumagalli2010,
  abstract = {  We present SLUG, a new code to &quot;Stochastically Light Up Galaxies&quot;. SLUG
populates star clusters by randomly drawing stars from an initial mass function
(IMF) and then following their time evolution with stellar models and an
observationally-motivated prescription for cluster disruption. For a choice of
star formation history, metallicity, and IMF, SLUG outputs synthetic photometry
for clusters and field stars with a proper treatment of stochastic star
formation. SLUG generates realistic distributions of star clusters,
demonstrating the range of properties that result from finite sampling of an
IMF and a random distribution of ages. The simulated data sets provide a
quantitative means to address open problems in studies of star formation in
galaxies and clusters, such as a test for IMF variations that are suggested by
the systematic deficiency in the H-alpha/UV ratio in outer disks or in dwarf
galaxies. SLUG will be made publicly available through the website
http://sites.google.com/site/runslug/.
},
  added-at = {2011-02-21T18:09:15.000+0100},
  author = {Fumagalli, Michele and da Silva, Robert and Krumholz, Mark and Bigiel, Frank},
  biburl = {http://www.bibsonomy.org/bibtex/28104b827142b9fc718c2f224da56aa6d/miki},
  description = {[1009.0524] SLUG: A new way to Stochastically Light Up Galaxies},
  interhash = {d5200291e5ebb4c947390a391ba85deb},
  intrahash = {8104b827142b9fc718c2f224da56aa6d},
  keywords = {code imf myown star},
  note = {cite arxiv:1009.0524
Comment: 4 pages, 1 figure. To appear in &quot;UP: Have Observations Revealed a
  Variable Upper End of the Initial Mass Function?&quot;, Astronomical Society of
  the Pacific Conference Series},
  timestamp = {2011-02-21T18:09:15.000+0100},
  title = {SLUG: A new way to Stochastically Light Up Galaxies},
  url = {http://arxiv.org/abs/1009.0524},
  year = 2010
}

%0 Generic
%1 Fumagalli2010
%A Fumagalli, Michele
%A da Silva, Robert
%A Krumholz, Mark
%A Bigiel, Frank
%D 2010
%K 
%T SLUG: A new way to Stochastically Light Up Galaxies
%U http://arxiv.org/abs/1009.0524
%X   We present SLUG, a new code to &quot;Stochastically Light Up Galaxies&quot;. SLUG
populates star clusters by randomly drawing stars from an initial mass function
(IMF) and then following their time evolution with stellar models and an
observationally-motivated prescription for cluster disruption. For a choice of
star formation history, metallicity, and IMF, SLUG outputs synthetic photometry
for clusters and field stars with a proper treatment of stochastic star
formation. SLUG generates realistic distributions of star clusters,
demonstrating the range of properties that result from finite sampling of an
IMF and a random distribution of ages. The simulated data sets provide a
quantitative means to address open problems in studies of star formation in
galaxies and clusters, such as a test for IMF variations that are suggested by
the systematic deficiency in the H-alpha/UV ratio in outer disks or in dwarf
galaxies. SLUG will be made publicly available through the website
http://sites.google.com/site/runslug/.

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URL:	http://arxiv.org/abs/1009.0524
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BibTeX key:	Fumagalli2010

abstract

We present SLUG, a new code to "Stochastically Light Up Galaxies". SLUG populates star clusters by randomly drawing stars from an initial mass function IMF and then following their time evolution with stellar models and an observationally-motivated prescription for cluster disruption. For a choice of star formation history, metallicity, and IMF, SLUG outputs synthetic photometry for clusters and field stars with a proper treatment of stochastic star formation. SLUG generates realistic distributions of star clusters, demonstrating the range of properties that result from finite sampling of an IMF and a random distribution of ages. The simulated data sets provide a quantitative means to address open problems in studies of star formation in galaxies and clusters, such as a test for IMF variations that are suggested by the systematic deficiency in the H-alpha/UV ratio in outer disks or in dwarf galaxies. SLUG will be made publicly available through the website http://sites.google.com/site/runslug/.

Description

[1009.0524] SLUG: A new way to Stochastically Light Up Galaxies

publication post of miki

SLUG: A new way to Stochastically Light Up Galaxies

discussion

resources (URL, PDF, ...)

abstract

Description