svo_filters¶
The Spanish Virtual Observatory (SVO) Filter Profile Service is a great resource for homogenized photometric filter curves and metadata. With svo_filters, I tried to create a lightweight and flexible package to incorporate these filters into Python applications.
Installation¶
To install svo_filters, do:
pip install svo_filters
Alternatively, you can clone from Github with:
git clone https://github.com/hover2pi/svo_filters.git
python svo_filters/setup.py install
Load a Photometric Filter¶
The actual filters are stored locally as XML files and can be viewed with:
from svo_filters import svo
svo.filters()
To create a filter object, pass a bandpass name to the svo.Filter() class:
H_band = svo.Filter('2MASS.H')
You can see some information about the filter with:
H_band.info()
And you can plot the bandpass like so:
H_band.plot()
Load a Grism¶
Filters can also be binned arbitrarily, for use with grisms. We can pass integers to the n_bins or pixels_per_bin arguments to specify the number of wavelength bins or pixels per bin, respectively:
G141 = svo.Filter('WFC3_IR.G141', n_bins=15)
Apply a Filter to a Spectrum¶
Filters can be applied to a spectrum by passing a sequence of [W, F] or [W, F, E] with astropy units to the apply() method:
filtered = G141.apply(spec, plot=True)
