renamed data_copy_1 -> data

This commit is contained in:
2024-07-31 11:23:44 +02:00
parent 7662f8604d
commit 41ff6c3204

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@ -2,7 +2,7 @@ import numpy as np
def calc_radial_integration(results, data, keep_pixels, pixel_mask_pf, center_radial_integration, r_radial_integration):
data_copy_1 = np.copy(data)
data = np.copy(data)
if keep_pixels is None and pixel_mask_pf is not None:
keep_pixels = (pixel_mask_pf != 0)
@ -10,7 +10,7 @@ def calc_radial_integration(results, data, keep_pixels, pixel_mask_pf, center_ra
center_radial_integration = [results["beam_center_x"], results["beam_center_y"]]
r_radial_integration = None
if r_radial_integration is None:
r_radial_integration, nr_radial_integration = prepare_radial_profile(data_copy_1, center_radial_integration, keep_pixels)
r_radial_integration, nr_radial_integration = prepare_radial_profile(data, center_radial_integration, keep_pixels)
r_min_max = [int(np.min(r_radial_integration)), int(np.max(r_radial_integration)) + 1]
@ -19,11 +19,11 @@ def calc_radial_integration(results, data, keep_pixels, pixel_mask_pf, center_ra
if apply_threshold and all(k in results for k in ("threshold_min", "threshold_max")):
threshold_min = float(results["threshold_min"])
threshold_max = float(results["threshold_max"])
data_copy_1[data_copy_1 < threshold_min] = np.nan
data[data < threshold_min] = np.nan
if threshold_max > threshold_min:
data_copy_1[data_copy_1 > threshold_max] = np.nan
data[data > threshold_max] = np.nan
rp = radial_profile(data_copy_1, r_radial_integration, nr_radial_integration, keep_pixels)
rp = radial_profile(data, r_radial_integration, nr_radial_integration, keep_pixels)
silent_region_min = results.get("radial_integration_silent_min", None)
silent_region_max = results.get("radial_integration_silent_max", None)