agepy.spec.photons.EnergyScan

class EnergyScan(data_files, anode, energies=None, raw='dld_rd#raw', time_per_step=None, roi=None, target_density=None, intensity_upstream=None, **norm)

Bases: Scan

Scan over exciting-photon energies with a spectrum for each step.

Parameters:

data_files: Sequence[str]: List of data files to be processed.
anode: PositionAnode: Anode object from agepy.spec.photons.
energies: str, optional: Path to the energy values in the data files. If None, the keys are used as the values.
raw: str, optional: Path to the raw data in the data files. Default: “dld_rd#raw/0”.
time_per_step: int, optional: Time per step in the scan. Default: None.
target_density: str, optional: Path to the target density in the data files. Default: None.
intensity_downstream: str, optional: Path to the downstream intensity in the data files. Default: None.
intensity_upstream: str, optional: Path to the upstream intensity in the data files. Default: None.

Attributes:

spectra: np.ndarray: Array of the loaded Spectrum objects.
energies: np.ndarray: Array of the scan variable values.

Notes

Very minimal implementation, needs to be expanded

Methods

`assign_phem`	Calibrate the exciting-photon energies.
`assign_phex`	Calibrate the exciting-photon energies.
`assigned_spectrum`	Get the spectrum with assigned energies.
`convert_unit`
`counts`	Get the photon-excitation energy spectrum.
`counts_fit`
`load`	Load a scan with pickle.
`norm`
`phexphem`
`remove_steps`
`save`	Save a scan with pickle.
`set_bkg`
`set_calib`
`set_qeff`
`show_spectra`	Plot the spectra in an interactive window.
`spectrum_at`	Get the spectrum at a specific step.
`transform_norm`

assign_phem(reference, qnum, wl_range, simulation=None)

Calibrate the exciting-photon energies.

Return type:: None

assign_phex(reference, qnum, energy_range, simulation=None)

Calibrate the exciting-photon energies.

Return type:: None

assigned_spectrum(phex, edges, qeff=True, bkg=True, calib=True)

Get the spectrum with assigned energies.

Return type:: Tuple[ndarray, ndarray]

counts(roi=None)

Get the photon-excitation energy spectrum.

Parameters:

roi: dict, optional: Ignore set region of interest and use the provided one instead.

Returns:

Tuple[np.ndarray, np.ndarray, np.ndarray]: The number of counts (normalized), the respective statistical uncertainties, and the exciting-photon energies.

Return type:

Tuple[ndarray, ndarray, ndarray]

static load(filepath)

Load a scan with pickle.

Return type:: Scan

phexphem(xedges=None, yedges=None, qeff=True, bkg=True, calib=True)

Return type:: ndarray

save(filepath)

Save a scan with pickle.

Return type:: None

show_spectra(): Plot the spectra in an interactive window.

spectrum_at(step, edges, roi=None)

Get the spectrum at a specific step.

Return type:: Tuple[ndarray, ndarray]