forked from IPKM/nmreval
#81 make t1 data real and catch more errors;
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775b5e7e8a
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@ -133,7 +133,7 @@ class FCReader:
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no_bevo = True
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break
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if str(k.parent) != 'ACC_ABS_FID_sig (group)':
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if str(k.parent) != 'ABS_ACC_FID_sig (group)':
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continue
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tevo = k.parameter['tevo']
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@ -144,14 +144,14 @@ class FCReader:
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if bevo not in _temp:
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_temp[bevo] = []
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_temp[bevo].append((tevo, *[pp[1] for pp in pts]))
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_temp[bevo].append((tevo, *[np.real(pp[1]) for pp in pts]))
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if no_bevo:
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break
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if no_bevo:
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# hopefully only for old scripts
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sig = reader.get_selected('/data/B=*/ACC_ABS_FID*', dtype='signal')
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sig = reader.get_selected('/data/B=*/ABS_ACC_FID*', dtype='signal')
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_temp = {}
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for s in sig:
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pts = s.points([region])
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@ -159,7 +159,7 @@ class FCReader:
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if b not in _temp:
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_temp[b] = []
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_temp[b].append([s.value, *[pp[1] for pp in pts]])
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_temp[b].append([s.value, *[np.real(pp[1]) for pp in pts]])
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for b, m in sorted(_temp.items()):
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m = np.array(m)
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@ -192,15 +192,16 @@ class FCReader:
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freqs = []
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for k, v in sorted(self.data[temperature].items()):
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freqs.append(k)
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# fit
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p0 = [v.y[0], v.y[-1]-v.y[0], v.x[int(0.5*len(v.x) - 0.5)], 1]
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try:
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p0, pcov = curve_fit(FCReader.kww, v.x, v.y, p0=p0, bounds=bounds, max_nfev=500*len(v))
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except RuntimeError:
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except Exception as e:
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logger.error(f'Fit of field {k} failed with exception', exc_info=e)
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continue
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freqs.append(k)
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perr = np.sqrt(np.diag(pcov))
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params.append(p0)
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errors.append(perr)
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