Transmission Curves#
Available Transmission Curves#
The available transmission curves are described here
They are also listed within the code via
from sedpy import observate
observate.list_available_filters()
Adding Transmission curves#
Each transmission curve should be in its own file named filter_name.par
,
where filter_name
is a unique identifier that will be used to identify the filter in the code
(e.g., galex_FUV.par
).
Then, make <filter_name>.par
a two-column space delimited ascii file where
the first column is wavelength in Angstroms and
the second column is detector signal per photon (arbitrarily normalized).
Comments must be preceded by a #
.
Then you can access it in python easily with e.g.
from sedpy import observate
filt = observate.Filter("filter_name", directory="/path/to/the/file/")
filt_list = observate.load_filters(["filter_name"], directory="/path/to/the/file/")
If using load_filters
then all transmission files must be in the same directory.
Optionally you can place the files you create in the <download_dir>/sedpy/sedpy/data/filters/
directory
and reinstall with cd <download_dir>/sedpy; pip install .
.
Then you don’t need to specify the directory
keyword.
The new filter will now be accesible using filter_name
from sedpy import observate
filt = observate.Filter("filter_name")
Finally, you can simply pass a tuple of (wavelength, transmission)
:
from sedpy import observate
filt = observate.Filter("filter_name", data=(wavelength, transmission)