Reference/API

pydis Package

Functions

AirmassCor(obj_wave, obj_flux, airmass[, …])	Correct the spectrum based on the airmass
ApplyFluxCal(obj_wave, obj_flux, obj_err, …)
CoAddFinal(frames[, mode, display])
DefFluxCal(obj_wave, obj_flux[, stdstar, …])	Parameters
HeNeAr_fit(calimage[, linelist, interac, …])	Determine the wavelength solution to be used for the science images.
ReduceCoAdd(speclist, flatlist, biaslist, …)	A special version of autoreduce, that assumes all the target images want to be median co-added and then extracted.
ReduceTwo(speclist[, flatlist, biaslist, …])
ap_extract(img, trace[, apwidth, skysep, …])
ap_trace(img[, fmask, nsteps, interac, …])	Trace the spectrum aperture in an image
autoHeNeAr(calimage[, trim, maxdist, …])	(REWORD later) Find emission lines, match triangles to dictionary (hash table), filter out junk, check wavelength order, assign wavelengths!
autoreduce(speclist[, flatlist, biaslist, …])	A wrapper routine to carry out the full steps of the spectral reduction and calibration.
biascombine(biaslist[, output, trim, silent])	Combine the bias frames in to a master bias image.
find_peaks(wave, flux[, pwidth, pthreshold, …])	Given a slice thru a HeNeAr image, find the significant peaks.
flatcombine(flatlist, bias[, output, trim, …])	Combine the flat frames in to a master flat image.
line_trace(img, pcent, wcent[, fmask, …])	Trace the lines of constant wavelength along the spatial dimension.
lines_to_surface(img, xcent, ycent, wcent[, …])	Turn traced arc lines into a wavelength solution across the entire chip
mapwavelength(trace, wavemap[, mode])	Compute the wavelength along the center of the trace, to be run after the HeNeAr_fit routine.
normalize(wave, flux[, mode, order])	Return a flattened, normalized spectrum.
test([package, test_path, args, plugins, …])	Run the tests using py.test.

Classes

OpenImg(file[, trim])

A simple wrapper for astropy.io.fits (pyfits) to open and extract the data we want from images and headers.

Class Inheritance Diagram