nectarchain.data.container.pedestal_container.NectarCAMPedestalContainer#

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

Bases: NectarCAMContainer

A container that holds estimated pedestals.

Fields:
nsamples (int): The number of samples in the waveforms. nevents (np.ndarray): The number of events used to estimate the pedestals for each pixel. pixels_id (np.ndarray): An array of pixel IDs. ucts_timestamp_min (int): The minimum of the input events UCTS timestamps. ucts_timestamp_max (int): The maximum of the input events UCTS timestamps. pedestal_mean_hg (np.ndarray): An array of high gain mean pedestals. pedestal_mean_lg (np.ndarray): An array of low gain mean pedestals. pedestal_std_hg (np.ndarray): An array of standard deviations of high gain pedestals. pedestal_std_lg (np.ndarray): An array of standard deviations of low gain pedestal_charge_mean_hg (np.ndarray): An array of high gain mean pedestal charges. pedestal_charge_mean_lg (np.ndarray): An array of low gain mean pedestal charges. pedestal_charge_std_hg (np.ndarray): An array of standard deviations of high gain pedestal charges. pedestal_charge_std_lg (np.ndarray): An array of standard deviations of low gain pedestal charges.

Attributes:

nsamplesField(default=None, type=uint8): number of samples in the waveforms
neventsField(default=None, dtype=float64, ndim=1, type=ndarray): number of events used to estimate the pedestals for each pixel
pixels_idField(default=None, dtype=uint16, ndim=1, type=ndarray): pixel ids
ucts_timestamp_minField(default=None, type=uint64): minimum of the input events UCTS timestamps
ucts_timestamp_maxField(default=None, type=uint64): maximum of the input events UCTS timestamps
pedestal_mean_hgField(default=None, dtype=float64, ndim=2, type=ndarray): high gain mean pedestals
pedestal_mean_lgField(default=None, dtype=float64, ndim=2, type=ndarray): low gain mean pedestals
pedestal_std_hgField(default=None, dtype=float64, ndim=2, type=ndarray): high gain pedestals standard deviations
pedestal_std_lgField(default=None, dtype=float64, ndim=2, type=ndarray): low gain pedestals standard deviations
pedestal_charge_mean_hgField(default=None, dtype=float64, ndim=1, type=ndarray): high gain mean pedestal charges
pedestal_charge_mean_lgField(default=None, dtype=float64, ndim=1, type=ndarray): low gain mean pedestal charges
pedestal_charge_std_hgField(default=None, dtype=float64, ndim=1, type=ndarray): high gain pedestal charges standard deviations
pedestal_charge_std_lgField(default=None, dtype=float64, ndim=1, type=ndarray): low gain pedestal charges standard deviations
pixel_maskField(default=None, dtype=int8, ndim=2, type=ndarray): Flag that identifies bad pixels. The flag is a binary mask. The meaning of the mask bits is defined in the class ~nectarchain.data.container.PedestalFlagBits
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`	Reads a container 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

`nsamples`
`nevents`
`pixels_id`
`ucts_timestamp_min`
`ucts_timestamp_max`
`pedestal_mean_hg`
`pedestal_mean_lg`
`pedestal_std_hg`
`pedestal_std_lg`
`pedestal_charge_mean_hg`
`pedestal_charge_mean_lg`
`pedestal_charge_std_hg`
`pedestal_charge_std_lg`
`pixel_mask`
`meta`
`prefix`
`default_prefix`
`fields`