pypeit.core.wavecal.waveio module

Module for I/O in arclines

pypeit.core.wavecal.waveio.load_line_list(line_file, use_ion=False)

Parameters:

• line_file (str) – Full path to line_list or name of ion

• use_ion (bool, optional) – Interpret line_file as an ion, e.g. CuI

Returns:

line_list

Return type:

astropy.table.Table

pypeit.core.wavecal.waveio.load_line_lists(lamps, all=False, include_unknown=False, restrict_on_instr=None)

Loads a series of line list files

Parameters:

• lamps (list) – List of arc lamps to be used for wavelength calibration. E.g., [‘ArI’,’NeI’,’KrI’,’XeI’]

• restrict_on_instr (str, optional) – Restrict according to the input spectrograph

• all (bool, optional) – Load all line lists, independent of the input lamps (not recommended)

• include_unknown (bool, optional) – If True, the tot_line_list includes the unknown lines

Returns:

• tot_line_list (astropy Table of line lists (including unknown lines, if requested))

• line_list (astropy Table of line lists)

• unkn_lines (astropy Table of unknown lines)

pypeit.core.wavecal.waveio.load_reid_arxiv(arxiv_file)

Load a REID arxiv file Now there are 2 possible formats. We need to consolidate

Parameters:

arxiv_file (str)

Return type:

dict, dict-like

pypeit.core.wavecal.waveio.load_template(arxiv_file, det, wvrng=None)

Load a full template file from disk

Parameters:

• arxiv_file (str) – File with archive spectrum, potentially including emission line pixel ids, wavelengths, and fit polynomial order.

• det (int) – Detector number

• wvrng (list, optional) – min, max wavelength range for the arxiv

Return type:

tuple[ndarray, ndarray, int, ndarray, ndarray, ndarray, ndarray]

Returns:

• wave (np.ndarray) – Wavelength vector

• flux (np.ndarray) – Flux vector

• binning (int) – binning of the template arc spectrum

• order (np.ndarray) – Echelle orders of the saved wavelength solution, if applicable

• line_pix (np.ndarray) – Pixel values of identified arc line centroids in the saved wavelength solution, if applicable

• line_wav (np.ndarray) – Wavelength values of identified arc line centroids in the saved wavelength solution, if applicable

• line_fit_ord (np.ndarray) – Polynomial order of the saved wavelength solution, if applicable

pypeit.core.wavecal.waveio.load_unknown_list(lines, unknwn_file=None, all=False)

Parameters:

• lines (list) – Restricted lines; use all=True for all

• unknwn_file (str, optional)

• all (bool, optional)

Returns:

unknwn_lines

Return type:

astropy.table.Table

pypeit.core.wavecal.waveio.load_wavelength_calibration(filename)

Load the wavelength calibration data from a file.

Parameters:

filename (pathlib.Path) – Name of the json file.

Returns:

Returns the wavelength calibration dictionary. Lists read from the json file are returnes as numpy arrays.

Return type:

dict