nectarchain.data.container.gain_container.SPEfitContainer#

class SPEfitContainer(prefix=None, **fields)[source]#

Bases: GainContainer

Class representing a SPEfitContainer.

This class is a subclass of GainContainer and provides additional fields specific to single photoelectron (SPE) fit data.

Attributes:
likelihood (np.ndarray): Array of likelihood values. p_value (np.ndarray): Array of p-values. pedestal (np.ndarray): Array of pedestal values. pedestalWidth (np.ndarray): Array of pedestal widths. resolution (np.ndarray): Array of resolution values. luminosity (np.ndarray): Array of luminosity values. mean (np.ndarray): Array of mean values. n (np.ndarray): Array of n values. pp (np.ndarray): Array of pp values.

Attributes:

is_validField(default=None, dtype=bool, ndim=1, type=ndarray): is_valid
high_gainField(default=None, dtype=float64, ndim=2, type=ndarray): high gain
low_gainField(default=None, dtype=float64, ndim=2, type=ndarray): low gain
pixels_idField(default=None, dtype=uint16, ndim=1, type=ndarray): pixel ids
likelihoodField(default=None, dtype=float64, ndim=1, type=ndarray): likelihood
p_valueField(default=None, dtype=float64, ndim=1, type=ndarray): p_value
pedestalField(default=None, dtype=float64, ndim=2, type=ndarray): pedestal
pedestalWidthField(default=None, dtype=float64, ndim=2, type=ndarray): pedestalWidth
resolutionField(default=None, dtype=float64, ndim=2, type=ndarray): resolution
luminosityField(default=None, dtype=float64, ndim=2, type=ndarray): luminosity
meanField(default=None, dtype=float64, ndim=2, type=ndarray): mean
nField(default=None, dtype=float64, ndim=2, type=ndarray): n
ppField(default=None, dtype=float64, ndim=2, type=ndarray): pp
metadict: dict of attached metadata
prefixstr: Prefix attached to column names when saved to a table or file

Methods

`as_dict`	Convert the `Container` into a dictionary
`from_hdf5`	Class method to read a GainContainer from an HDF5 file.
`items`	Generator over (key, value) pairs for the items
`keys`	Get the keys of the container
`reset`	Reset all values back to their default values
`update`	update more than one parameter at once (e.g. `update(x=3,y=4)` or `update(**dict_of_values)`).
`validate`	Check that all fields in the Container have the expected characteristics (as defined by the Field metadata).
`values`	Get the keys of the container

Attributes

`likelihood`
`p_value`
`pedestal`
`pedestalWidth`
`resolution`
`luminosity`
`mean`
`n`
`pp`
`meta`
`prefix`
`default_prefix`
`fields`
`high_gain`
`is_valid`
`low_gain`
`pixels_id`