Use scan_motor instead of "omega"
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16966b6e3e
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@ -80,7 +80,6 @@ def merge_datasets(dataset_into, dataset_from):
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def merge_scans(scan_into, scan_from):
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# TODO: does it need to be "scan_motor" instead of omega for a generalized solution?
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if "init_scan" not in scan_into:
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scan_into["init_scan"] = scan_into.copy()
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@ -92,9 +91,11 @@ def merge_scans(scan_into, scan_from):
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scan_into["merged_scans"].append(scan_from)
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scan_motor = scan_into["scan_motor"] # the same as scan_from["scan_motor"]
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if (
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scan_into["omega"].shape == scan_from["omega"].shape
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and np.max(np.abs(scan_into["omega"] - scan_from["omega"])) < 0.0005
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scan_into[scan_motor].shape == scan_from[scan_motor].shape
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and np.max(np.abs(scan_into[scan_motor] - scan_from[scan_motor])) < 0.0005
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):
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counts_tmp = 0
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counts_err_tmp = 0
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@ -107,13 +108,13 @@ def merge_scans(scan_into, scan_from):
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scan_into["counts_err"] = np.sqrt(counts_err_tmp)
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else:
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omega = np.concatenate((scan_into["omega"], scan_from["omega"]))
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motor_pos = np.concatenate((scan_into[scan_motor], scan_from[scan_motor]))
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counts = np.concatenate((scan_into["counts"], scan_from["counts"]))
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counts_err = np.concatenate((scan_into["counts_err"], scan_from["counts_err"]))
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index = np.argsort(omega)
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index = np.argsort(motor_pos)
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scan_into["omega"] = omega[index]
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scan_into[scan_motor] = motor_pos[index]
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scan_into["counts"] = counts[index]
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scan_into["counts_err"] = counts_err[index]
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