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Image processing in cxif5315
The best options for image processing in cxif5315
DO NOT use common mode
- DO NOT use polarization factor (polarization is not seen in this data)
- USE status mask
- USE radial background subtraction for single angular bin
nda_raw = sp.det.raw(evt) if nda_raw is not None : nda = np.array(nda_raw, dtype=np.float32, copy=True) nda -= sp.nda_peds #nda = subtract_bkgd(nda, sp.nda_bkgd, mask=sp.nda_smask, winds=sp.winds_bkgd, pbits=0) #nda = sp.rb.subtract_bkgd(nda.flatten() * sp.pf) nda = sp.rb.subtract_bkgd(nda.flatten()) nda.shape = sp.nda_peds.shape nda *= sp.nda_smask #sp.det.common_mode_apply(evt, nda) img = getImage(evt, nda)
Fit results
Averaged Fraser- transformed image using angles from fit to 2 arc peaks
Distance between 2 peaks in Arc region
Radius of the median point of 2 peaks in Arc region
Fit results for for phi and beta in ARC region
Negative solution y = -B - sqrt(B*B-C)
y = funcy_l1(x, phi_deg, bet_deg, DoR=390/913.27, sgnrt=-1.)
Positive solution y = -B + sqrt(B*B-C)
y = funcy_l1(x, phi_deg, bet_deg, DoR=390/913.27, sgnrt=+1.)
Fit results for peak list from Meng
Equatorial region
Arc region (positive root)
Arc region (negative root)
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