background

Utilities for estimating the stray light background of FUV spectrograph images.

Functions

model_background(velocity, bias, slope)	A simple linear model of the background in the proximity of a spectral line, given by
model_spectral_line(velocity, amplitude, ...)	A simple model of a spectral line profile.
model_total(velocity, amplitude, shift, ...)	The sum of model_background() and model_spectral_line().
fit(data, velocity, axis_wavelength[, where])	Compute the parameters of model_total() which best fit data using the gradient descent method.
average(obs, axis)	Compute the average along the given axis using numpy.nanmedian()
subtract_spectral_line(obs, axis_wavelength)	Fit obs using fit() and subtract the model_spectral_line() component.
smooth(obs, axis_wavelength, axis_detector_y)	Smooth the given observation using named_arrays.ndfilters.trimmed_mean_filter().
estimate(obs, axis_time, axis_wavelength, ...)	Estimate the background from a given spectrograph observation.