eispac core

All functions and classes in core are loaded into the top-level eispac namespace. It is therefore recommended to access them via calls like eispac.FUNCTION() rather than eispac.core.FUNCTION()

Functions

create_fit_dict(n_pxls, n_steps, n_wave, ...)	Dictionary to hold the fit parameters returned by fit_spectra()
export_fits(fit_result[, save_dir, verbose])	Save fit line intensites, velocites, and widths to a .fits file
fit_spectra(inten, template[, parinfo, ...])	Fit one or more EIS line spectra using mpfit (with multiprocessing).
fit_spectra_astropy(inten, template[, ...])	Fit one or more EIS line spectra using mpfit.
generate_astropy_model(template)	Create an Astropy fitting model using a template intended for MPFIT.
lineid_to_name(lineid)	Convert line IDs to filesystem-friendly strings
match_templates(eis_obs)	Generate a list of all template files that match an EIS file or window.
multigaussian(param, x[, n_gauss, n_poly])	Multigaussian model with a polynomial background
multigaussian_deviates(param[, x, y, error, ...])	Computes the deviates between a multigaussian model fit and input data.
read_cube([filename, window, apply_radcal, ...])	Load a single window of EIS data from an HDF5 file into an EISCube object
read_fit(filename[, verbose])	Load an EISFitResult object from an HDF5 file
read_template(filename)	Create EISFitTemplate from template file
read_wininfo(filename)	Read the window information from an EIS HDF5 header file
save_fit(fit_result[, save_dir, verbose])	Save an EISFitResult object to an HDF5 file (or files)
scale_guess(x, y, param, n_gauss, n_poly)	Scale inital guess of multigaussian model parameters to data values

Classes

EISCube(*args, **kwargs)	EIS Level-1 Data Cube
EISFitResult([wave, template, parinfo, ...])	Object containing the results from fitting one or more EIS window spectra
EISFitTemplate(filename, template, parinfo)	Representation of fitting parameters for a particular line or lines
EISMap(data[, header])	EIS fit parameter map.

Class Inheritance Diagram