Here we presents the useage of each drivers imported to pymoog in detail.
MOOG provides 14 drivers used for various purpose, and 9 of them are imported in pymoog:
| driver | explanation | imported |
|---|---|---|
| synth | spectrum synthesis, varying atomic abundances | yes |
| weedout | segregation of very weak lines from stronger ones in a large line list | yes |
| abfind | force-fitting abundances to match single-line equivalent widths | yes |
| blends | force-fitting abundances to match blended-line equivalent widths | yes |
| cog | curve-of-growth creation for individual lines | yes |
| binary | spectrum synthesis of a binary star individual lines | yes |
| doflux | plot the overall flux curve of the model atmosphere | yes |
| synpop | spectrum synthesis for a stellar population | yes |
| abpop | equivalent width matching for a stellar population | yes |
| gridsyn | mass production of synthetic spectra | no |
| cogsyn | curve-of-growth creation for blended features | no |
| ewfind | calculation of equivalent widths of individual lines | no |
| calmod | converting a BEGN tauross model to an equivalent tau5000 scale | no |
| plotit | re-plotting of spectra that were created in a prior run | no |
There are two more functions which are available in pymoog:
- Contribution function: a function indicating where the lines are formed in the atmosphere
- MPFIT: an algorithm for self-consistent multi-parameter fitting for spectra, by Takeda (1995) .
The following links provide the usage of each driver and function listed above. Only the keywords worth attention will be descripbed, and please refer to the help docstring for detail description of each keyword.
.. toctree:: :maxdepth: 1 :caption: Contents: synth <driver_guide/synth> weedout <driver_guide/weedout> abfind <driver_guide/abfind> blends <driver_guide/blends> cog <driver_guide/cog> find dominant line<driver_guide/find_dominant_line> contribution function <driver_guide/contri_func> mpfit <driver_guide/mpfit>