resize_data

sofia_redux.instruments.fifi_ls.fit_ramps.resize_data(data, readout_range, indpos, remove_first_ramps=True, subtract_bias=True, indpos_sigma=3.0)

Trim and reshape data to separate ramps.

Parameters:

datanumpy.ndarray

(1 [optional], nramps, nwave (18), nspaxel (26))

readout_rangearray_like of int

(start readout, ramp length)

indposint

Expected inductosyn position for the grating

remove_first_rampsbool, optional

Remove the first two ramps.

subtract_biasbool, optional

Subtract the empty pixel value.

indpos_sigmafloat, optional

If >0, will be used to flag ramps with mean grating position that deviates from the indpos value by this many sigma, or has a standard deviation greater than this value. Flags are returned in the bad_ramps array.

Returns:

data, bad_rampsnumpy.ndarray, numpy.ndarray

Resized data is a floating point array with dimensions (ramps/spaxel, ramplength, nwave (16), nspaxel (25)). The secondary array is a Boolean array with dimensions (ramps/spaxel), containing bad ramp flags (True = bad) for later propagation in ramp fits.