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Image processing in cxif5315
The best options for image processing in cxif5315
- Water background is evaluated WITH COMMON MODE CORRECTION that enhance intensity of central 2x1... - needs to be re-calibrated
DO NOT use common mode
DO NOT use polarization factor (polarization is not seen in this data)- polarization factor map should be rotated by 90 degree because of requested by Meng fancy 90 degree rotation in the geometry file
- USE status mask
- USE radial background subtraction for single angular bin
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from pyimgalgos.RadialBkgd import RadialBkgd, polarization_factor from pyimgalgos.GlobalUtils import subtract_bkgd Xarr = sp.det.coords_x(runnum) Yarr = sp.det.coords_y(runnum) #sp.rb = RadialBkgd(Xarr, Yarr, mask=sp.nda_smask, radedges=(5200, 80000), nradbins=200, nphibins=1) #sp.pf = polarization_factor(sp.rb.pixel_rad(), sp.rb.pixel_phi()+90, sp.DETD_um) 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 background shape averaged for pure water nda = subtract_bkgd(nda, sp.nda_bkgd, mask=sp.nda_smask, winds=sp.winds_bkgd, pbits=0) # #ndaSubtract = sp.rb.subtract_bkgd(nda.flatten() * sp.pf)dynamically evaluater redial background nda#nda = sp.rb.subtract_bkgd(nda.flatten() * sp.pf) nda#nda.shape = sp.nda_peds.shape nda *= sp.nda_smask #sp.det.common_mode_apply(evt, nda) img = getImage(evt, nda) |
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Fit results
Averaged Fraser- transformed image using angles from fit to 2 arc peaks
ARC region, fit converged to beta ~ -17°
ARC region, fit converged to beta ~ -9°
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)
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