Make variable names consistent
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@ -406,7 +406,7 @@ def box_int(file, box):
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"""Calculates center of the peak in the NB-geometry angles and Intensity of the peak
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Args:
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file name, box size [x_min:x_max, y_min:y_max, frame_min:frame_max]
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file name, box size [x0:xN, y0:yN, fr0:frN]
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Returns:
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gamma, omPeak, nu polar angles, Int and data for 3 fit plots
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@ -420,11 +420,11 @@ def box_int(file, box):
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ddist = dat["ddist"]
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# defining indices
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i0, j0, iN, jN, fr0, frN = box
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x0, y0, xN, yN, fr0, frN = box
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# omega fit
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om = dat["rot_angle"][fr0:frN]
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cnts = np.sum(dat["data"][fr0:frN, j0:jN, i0:iN], axis=(1, 2))
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cnts = np.sum(dat["data"][fr0:frN, y0:yN, x0:xN], axis=(1, 2))
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p0 = [1.0, 0.0, 1.0]
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coeff, var_matrix = curve_fit(gauss, range(len(cnts)), cnts, p0=p0)
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@ -447,14 +447,14 @@ def box_int(file, box):
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plt.xlabel("Frame N of the box")
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label = "om"
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# gamma fit
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sliceXY = dat["data"][fr0:frN, j0:jN, i0:iN]
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sliceXY = dat["data"][fr0:frN, y0:yN, x0:xN]
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sliceXZ = np.sum(sliceXY, axis=1)
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sliceYZ = np.sum(sliceXY, axis=2)
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projX = np.sum(sliceXZ, axis=0)
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p0 = [1.0, 0.0, 1.0]
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coeff, var_matrix = curve_fit(gauss, range(len(projX)), projX, p0=p0)
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x = i0 + coeff[1]
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x = x0 + coeff[1]
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# gamma plot
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x_fit = np.linspace(0, len(projX), 100)
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y_fit = gauss(x_fit, *coeff)
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@ -468,7 +468,7 @@ def box_int(file, box):
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projY = np.sum(sliceYZ, axis=0)
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p0 = [1.0, 0.0, 1.0]
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coeff, var_matrix = curve_fit(gauss, range(len(projY)), projY, p0=p0)
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y = j0 + coeff[1]
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y = y0 + coeff[1]
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# nu plot
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x_fit = np.linspace(0, len(projY), 100)
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y_fit = gauss(x_fit, *coeff)
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