ccl_integrate #26

New Issue

2021-04-20T13:19:41+02:00

usov_i commented

2021-04-20 13:19:41 +02:00

(Migrated from gitlab.psi.ch)

Created by: zaharko

One still has often to manually adjust the automatic fits in the case of very weak peak (if at all) in the scan. pyzebra tends to fit such case to a hugely negative f0_intercept along with a huge positive f1_amplitude, or opposite, negative f1_amplitude, and positive f0_intercept. This averages out to a roughly even line -(
We can avoid such cases fixing f0_intercept > 0 (as f0_slope is fixed to zero this must be always the case), and f1_amplitude > 0
In the present comm format two empty spaces in the h k l should be eliminated:
Presently
1 -1 1 2 107.01 4.30 20.65 10.33 132.63 -144.74
Future
1 -1 1 2 102.05 3.71 20.65 10.33 132.63 -144.74

*Created by: zaharko* 1. One still has often to manually adjust the automatic fits in the case of very weak peak (if at all) in the scan. pyzebra tends to fit such case to a hugely negative f0_intercept along with a huge positive f1_amplitude, or opposite, negative f1_amplitude, and positive f0_intercept. This averages out to a roughly even line -( We can avoid such cases fixing f0_intercept > 0 (as f0_slope is fixed to zero this must be always the case), and f1_amplitude > 0 2. In the present comm format two empty spaces in the h k l should be eliminated: Presently 1 -1 1 2 107.01 4.30 20.65 10.33 132.63 -144.74 Future 1 -1 1 2 102.05 3.71 20.65 10.33 132.63 -144.74

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Reference: zebra/pyzebra#26