A New Model for Computing Composite Spectra of Extragalactic Photodissociation Regions

Statistics – Computation

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

We have begun construction of a model of the integrated emission from an ensemble of star forming clouds within a normal galaxy. This modeling effort is motivated by recent Infrared Space Observatory results (Malhotra et al. 2000) which show that photodissociation region emission in normal galaxies is dominated by gas with high number density and high UV fields. We use the computational results of 1-D PDR models (Kaufman, Wolfire, Hollenbach & Luhman 1999) combined with results for Galactic GMC cloud mass distributions (e.g. Williams & McKee 1997), along with several assumed star formation rates and stellar initial mass functions, in order to learn how these variables affect the observed infrared emission. These model results are useful for comparisons with archival ISO data, as well as for observations to be made with SOFIA and SIRTF. This work is partially supported by NASA grant NCC 2-5338 and an NSF-REU grant, both to San José State University.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

A New Model for Computing Composite Spectra of Extragalactic Photodissociation Regions does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with A New Model for Computing Composite Spectra of Extragalactic Photodissociation Regions, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A New Model for Computing Composite Spectra of Extragalactic Photodissociation Regions will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1723930

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.