Running brutus¶
The spirit of brutus is that each user can choose, depending on the object at hand & the
quality of the data, what processing steps are warranted. These are governed by the
brutus_execute.py
file. In parallel, the user can define all relevant parameters using
the brutus_params.py
file.
For each project, I suggest making a local copy of both files, while leaving an original
copy at brutus/exec_scripts/
for safekeeping.
Setting parameters with brutus_params.py
¶
All parameters (with a scientific role) relevant to the brutus functions can be specified
inside brutus_param.py
, via the dictionary brutus_params
.
Todo
A detailed list of what everything is/does would be nice. Until then, look at the comments inside the file.
Once everything is set as it should be, run the script
>>> run brutus_params.py
This exports all the parameters to the pickle file pickle_fn
, defined in
brutus_params.py
.
Launching the post-processing with brutus_execute.py
¶
brutus is designed to batch process all the individual spectra inside a given IFU individually, exploiting multiple cpus (when available) to gain speed.
The different steps to be executed in sequence by brutus are defined in
brutus_execute.py
, via the proc_steps
list of dictionaries.
Steps can be toogle on/off via the run
keyword, which can be set to True
or
False
. Some steps also accept specific parameters, such as whether to save plots or
not. One should note that unlike the parameters defined in brutus_params.py
, the
parameters present in brutus_execute.py
will NOT influence the final scientific output
itself, only the processing speed and/or the type of output, etc ...
Once all the steps are setup and enabled as required, you are ready to start crunching numbers:
>>> run brutus_execute pickle_fn
where pickle_fn
is the filename defined in brutus_params.py
for exporting the
various parameters.
If all goes according to plan, brutus will start processing your data, one step after the
other. Some steps will take time (up to several hours) ! Just be patient - progress
indicators will help you monitor each task, if you set 'verbose': True
inside
brutus_params.py
.