AFL.agent.reduce_usaxs module#

Calculate R(Q) from raw USAXS data.

AFL.agent.reduce_usaxs.amplifier_corrections(signal, seconds, dark, gain)#

correct for amplifier dark current and gain \(v = (s - t*d) / g\)

AFL.agent.reduce_usaxs.calc_R_Q(wavelength, ar, seconds, pd, pd_bkg, pd_gain, I0, I0_bkg=None, I0_gain=None, ar_center=None, V_f_gain=None)#

Calculate 1-D \(R(Q)\) from raw USAXS data.

Parameters:

  • wavelength (float) – \(lambda\), (\(\A\))

  • ar_center (float) – center of rocking curve along AR axis

  • ar (numpy.ndarray([float])) – array of crystal analyzer angles

  • seconds (numpy.ndarray([float])) – array of counting time for each point

  • pd (numpy.ndarray([float])) – array of photodiode counts

  • pd_bkg (numpy.ndarray([float])) – array of photodiode amplifier backgrounds

  • pd_gain (numpy.ndarray([float])) – array of photodiode amplifier gains

  • I0 (numpy.ndarray([float])) – array of incident monitor counts

  • I0_bkg (numpy.ndarray([float])) – array of I0 backgrounds

  • I0_amp_gain (numpy.ndarray([float])) – array of I0 amplifier gains

  • V_f_gain (numpy.ndarray([float])) – array of voltage-frequency converter gains

  • qVec (numpy.ndarray([float])) – \(Q\)

  • rVec (numpy.ndarray([float])) – \(R = I/I_o\)

Returns dictionary:

Q, R

AFL.agent.reduce_usaxs.centroid(x, y)#

Compute centroid of y(x).

AFL.agent.reduce_usaxs.reduce_uascan(root)#

1-D data reduction, from livedata.

AFL.agent.reduce_usaxs.remove_masked_data(data, mask)#

Remove all masked data, convenience routine.