agepy.spec.photons.Spectrum

class Spectrum(xy, time=None, **norm)

Bases: object

Fluorescence spectrum.

Methods

`convert_unit`
`counts`	Get number of counts in the spectrum and the estimated uncertainty.
`from_h5`
`spectrum`
`transform_norm`

counts(roi=None, qeff=None, background=None)

Get number of counts in the spectrum and the estimated uncertainty.

Parameters:

anode: PositionAnode: Anode object from agepy.spec.photons.
roi: dict: Region of interest for the detector. If not provided, the full detector is used: {“x”: {“min”: 0, “max”: 1}, “y”: {“min”: 0, “max”: 1}}.

Return type:

Tuple[float, float]

spectrum(edges, roi=None, qeff=None, background=None, calib=None)

Notes

Implement handling of the uncertainties of the efficiency map
Background subtraction is very primitive and uncertainties are not propagated correctly