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peaksearching [2018/06/28 09:42] estelle created |
peaksearching [2019/02/24 10:01] (current) estelle |
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====== Peak Searching ====== | ====== Peak Searching ====== | ||
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+ | From the simulated/real data set and the median image, we can now search the diffraction peaks. | ||
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+ | |||
+ | For that, use for example: | ||
+ | |||
+ | <WRAP center box 90%> | ||
+ | peaksearch.py -n ../Simulation/simu_50grains -f 0 -l 111 -d ../Simulation/simu_50grainsm20000.edf -t 20 | ||
+ | </WRAP> | ||
+ | |||
+ | with : | ||
+ | * Simulation: the folder where are the .edf files; | ||
+ | * simu_50grains: the common part of the name of the .edf files; | ||
+ | * 0: the number of the first .edf file; | ||
+ | * 111: the number of the last .edf file; | ||
+ | * simu_50grainsm20000.edf: the median image | ||
+ | * 20: the value of the treshold you want to fix to filter the peaks (you can ask several filter when you add -t options). | ||
+ | |||
+ | |||
+ | The command create two files (.flt and .spt) for each filter in the current folder. | ||
+ | |||
+ | **Be careful** : do not remove the median image (-d ...) if you already did it once (for example in the diamond spots removal for cleaning a real dataset)!! Otherwise, Peaksearch will not find the smaller peaks anymore. | ||
+ | |||
+ | {{ :seb-1345-peaks.jpg?nolink&400 |}} | ||
+ | |||
+ | In this image, the Peaksearch (in red) should have found much more peaks than it did, cause some seems really intense. I surely did remove two times the median, once during diamond removal and a second during peakshearching. | ||