HDF4 reader for KOSMA tau

This routine is used to analyse the hdf files of the kosma- tau PDR model. Kosma-tau PDR model is used to understand the chemistry and physics of the molecular cloud.

Pre-requisites:

- `numpy`
- `pandas`
- `matplotlib`
- `datetime`
- `os`
- `pyhdf`
- `h5py`

The main functions are:

read_hdf(f)

Read the hdf file 'f' and return a pandas dataframe (df), heating and cooling rates (HC_rates), and level population details (rad_field). After reading the hdf4 file into a dataframe, one can use the following functions to plot different properties.

plot_temperature_profile(df)

to plot the gas and dust temperature returns the figure

plot_abundance_profile(df, sp)

plot the abundance profile of the species sp, returns the figure

plot_column_density_profile(df, sp)

plot the column density profile of the species sp, returns the figure

plot_diffusion_properties(df, key ,sp)

plot the diffusion properties of the species sp. Different keys available are:

- K: plot thermal, molecular, and turbulent diffusion coefficients of the species

- V: plot thermal, molecular, and turbulent diffusion velocities of the species

- dr: plot total, thermal, molecular, and turbulent diffusion rates of the species. Both formation and destruction rates are indicated using different markers.

For any suggestions, complaints or updates, write to [email protected] or [email protected]