threeML.plugins.PhotometryLike module¶
- class threeML.plugins.PhotometryLike.BandNode(name, index, value, mask)[source]¶
Bases:
object
- property off¶
‘p.off = True’ or ‘p.off = False’.
- Type
Turn on or off the band. Use booleans, like
- property on¶
‘p.on = True’ or ‘p.on = False’.
- Type
Turn on or off the band. Use booleans, like
- class threeML.plugins.PhotometryLike.PhotometryLike(name: str, filters: Union[speclite.filters.FilterSequence, speclite.filters.FilterResponse], observation: threeML.utils.photometry.photometric_observation.PhotometericObservation)[source]¶
Bases:
threeML.plugins.XYLike.XYLike
- classmethod from_file(name: str, filters: Union[speclite.filters.FilterResponse, speclite.filters.FilterSequence], file_name: str)[source]¶
Create the a PhotometryLike plugin from a saved HDF5 data file
- Parameters
name – plugin name
filters – speclite filters
file_name – name of the observation file
- classmethod from_kwargs(name, filters, **kwargs)[source]¶
Example:
- grond = PhotometryLike.from_kwargs(‘GROND’,
filters=threeML_filter_library.ESO.GROND, g=(20.93,.23), r=(20.6,0.12), i=(20.4,.07), z=(20.3,.04), J=(20.0,.03), H=(19.8,.03), K=(19.7,.04))
Magnitudes and errors are entered as keyword arguments where the key is the filter name and the argument is a tuple containing the data. You can exclude data for individual filters and they will be ignored during the fit.
NOTE: PhotometryLike expects apparent AB magnitudes. Please calibrate your data to this system
- Parameters
name – plugin name
filters – speclite filters
kwargs – keyword args of band name and tuple(mag, mag error)
- property magnitude_errors¶
- property magnitudes¶
- property observation: threeML.utils.photometry.photometric_observation.PhotometericObservation¶