Installation

The easiest way is to install the module in development mode using conda. Provided you installed [Anaconda](https://www.continuum.io/) or [miniconda](http://conda.pydata.org/miniconda.html) here are the commands to run:

`Shell $ conda create -n herschelhelp_internal $ conda activate herschelhelp_internal $ conda install -c openastronomy astropy healpy scipy seaborn $ pip install -r requirements.txt $ pip install -e . `

You will need to activate this new environment with source activate herschelhelp_internal when you want to use this module.

Running inside a Jupyter notebook

If one need to use this code inside a Jupyter notebook, one should install the notebook stuff:

`Shell $ conda install notebook `

and add the environment Python to the list of kernels for Jupyter:

`Shell $ python -m ipykernel install --user --name helpint --display-name "Python (herschelhelp_internal)" `

The notebooks must be set to use this kernel.

Note: maybe it’s not mandatory to install the full notebook and only the ipykernel is required if Jupyter is already installed on the system.

E(B-V) maps

To compute the E(B-V) at each source position, we are using the [sfdmap package](https://github.com/kbarbary/sfdmap) that needs the Schlegel, Finkbeiner & Davis (1998) dust maps. The script get_sfd_maps.sh will download them and place them in the directory herschelhelp_internal/sfd_data/ where they are expected by our wrapper function. This must be done only once.