rss_ringoccs.calibration.calc_freq_offset module¶

Purpose:	Class for computing the frequency corresponding to the maximum power in the FFT power spectrum
Dependencies:	numpy

class rss_ringoccs.calibration.calc_freq_offset.calc_freq_offset(rsr_inst, spm_min, spm_max, dt_freq=2.0)¶

Bases: object

Purpose:	Calls functions to sample raw signal at regular intervals using a window of width `dt_freq`

Arguments

rsr_inst (object):
	Object instance of the RSRReader class
spm_min (float):
	Minimum observed event time for sampling
spm_max (*float):
	Maximum observed event time for sampling

Keyword Arguments

dt_freq (float):
	half the width of the FFT window

Attributes

spm_vals (np.ndarray):
	Observed event time at full sampling
IQ_m (np.ndarray):
	Uncorrected real and imaginary components of signal
dt (float):	Raw time sampling from spm_vals
dt_freq (float):
	half the width of the FFT window
spm_min (float):
	Minimum time for sampling
spm_max (float):
	Maximum time for sampling
f_spm (np.ndarray):
	Observed event time for frequency offset
f_offset (np.ndarray):
	Frequency offset, or frequency at max power