zebra/pyzebra
3
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Average counts in case of almost identical scans

Browse Source 
Fix #37
This commit is contained in:
usov_i 2021-09-08 14:29:54 +02:00
parent 49a6bd22ae
commit 9f56921072
1 changed files with 12 additions and 5 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

7
pyzebra/ccl_process.py
View File

@ -89,6 +89,13 @@ def merge_scans(scan_into, scan_from):
scan_into["merged_scans"] = [] scan_into["merged_scans"] = []
scan_into["merged_scans"].append(scan_from) scan_into["merged_scans"].append(scan_from)
if (
scan_into["omega"].shape == scan_from["omega"].shape
and np.max(np.abs(scan_into["omega"] - scan_from["omega"])) < 0.0005
):
scan_into["counts"] = (scan_into["counts"] + scan_from["counts"]) / 2
else:
omega = np.concatenate((scan_into["omega"], scan_from["omega"])) omega = np.concatenate((scan_into["omega"], scan_from["omega"]))
counts = np.concatenate((scan_into["counts"], scan_from["counts"])) counts = np.concatenate((scan_into["counts"], scan_from["counts"]))