Releases: kpolsen/SIGAME_v2
SÍGAME v2.0.1
SImulator of GAlaxy Millimeter/submillimeter Emission
A code to simulate the far-IR emission lines of the ISM in galaxies from hydrodynamical codes for the interpretation and prediction of observations.
UPDATES from previous release
- Small correction to sigame/init.py to make z=0 the default selection.
REQUIREMENTS
The code has been tested with:
- iPython v3.6.5
- numpy v1.16.4
- pandas v0.24.2
- matplotlib v3.1.0
- PyTables v3.5.2
You may also have to install periodictable with e.g. pip install periodictable.
MORE INFO
For a description of the underlying assumptions and methods adopted by SÍGAME, see the most recent publication Olsen et al. 2017 and references therein.
Main contributors to this release are:
- Karen Olsen
- Daisy Leung
- Lily Whitler
Enjoy and let us know if you find any bugs or have suggestions for improvements!
SÍGAME v2.0.0
SImulator of GAlaxy Millimeter/submillimeter Emission
A code to simulate the far-IR emission lines of the ISM in galaxies from hydrodynamical codes for the interpretation and prediction of observations.
UPDATES
- The code is now compatible with Python3.
- A test galaxy at z=0 from the MUFASA simulation comes with the release.
- 5 tutorials as jupyter notebooks have been added.
REQUIREMENTS
The code has been tested with:
- iPython v3.6.5
- numpy v1.16.4
- pandas v0.24.2
- matplotlib v3.1.0
- PyTables v3.5.2
MORE INFO
For a description of the underlying assumptions and methods adopted by SÍGAME, see the most recent publication Olsen et al. 2017 and references therein.
Main contributors to this release are:
- Karen Olsen
- Daisy Leung
- Lily Whitler
Enjoy and let us know if you find any bugs or have suggestions for improvements!
SÍGAME v1.0.0
The very first public release of SÍGAME, including data for a galaxy at z~6 and a very limited version of the parent code. By downloading the source code and following the README, you can derive the [CII], [OI] and [OIII] line emission from this test galaxy. In addition, the galaxy can be studied with 9 different plots - a subset of what was used in this 2017 paper. Please enjoy and let us know of any bugs!