eispac core

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

`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.
`mpfit`(fcn[, xall, functkw, parinfo, ftol, ...])	Perform Levenberg-Marquardt least-squares minimization, based on MINPACK-1.