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correct baseline and slopes for calibration measurements at high DSC rates

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This commit is contained in:
Dominik Demuth 2023-05-08 18:20:04 +02:00
parent a72e4ba833
commit a964e02612
1 changed files with 11 additions and 5 deletions
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16
src/nmreval/io/dsc.py
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@ -5,6 +5,7 @@ import re
from collections import namedtuple from collections import namedtuple
import numpy as np import numpy as np
try: try:
from scipy.integrate import simpson from scipy.integrate import simpson
except ImportError: except ImportError:
@ -193,19 +194,24 @@ class DSCCalibrator:
for trans_temp, enthalpy in ref_value.transitions: for trans_temp, enthalpy in ref_value.transitions:
real_tm.append(trans_temp) real_tm.append(trans_temp)
t_low_lim, t_high_lim = trans_temp - 10, trans_temp + 20 t_low_lim, t_high_lim = trans_temp - 10, trans_temp + np.clip(rate, 20, 35)
low_border = np.argmin(np.abs(measurement[0] - t_low_lim)) low_border = np.argmin(np.abs(measurement[0] - t_low_lim))
high_border = np.argmin(np.abs(measurement[0] - t_high_lim)) high_border = np.argmin(np.abs(measurement[0] - t_high_lim))
ref_zoom = measurement[:, low_border:high_border] ref_zoom = measurement[:, low_border:high_border]
x_val = np.array([[ref_zoom[0, 0], 1], [ref_zoom[0, -1], 1]]) x_val = np.array([[ref_zoom[0, 0], 1], [ref_zoom[0, -1], 1]])
y_val = np.array([ref_zoom[1, 0], ref_zoom[1, -1]]) y_val = np.array([ref_zoom[1, 0], ref_zoom[1, -1]])
sol = np.linalg.solve(x_val, y_val) sol = np.linalg.solve(x_val, y_val)
ref_zoom[1] -= (ref_zoom[0] * sol[0] + sol[1]) ref_zoom[1] -= (ref_zoom[0] * sol[0] + sol[1])
peak_max = ref_zoom[:, np.argmax(ref_zoom[1])]
integ_limit = (np.argmin(np.abs(ref_zoom[0] - peak_max[0] + 3)), ref_grad = np.gradient(ref_zoom[1])
np.argmin(np.abs(ref_zoom[0] - peak_max[0] - 3))) crossing = np.where(np.diff(np.sign(np.abs(ref_grad)-0.001)))[0]
almost_flat = np.sort(crossing-np.argmax(ref_zoom[1]))
integ_limit = (almost_flat[np.where((almost_flat < -20))[0][-1]]+np.argmax(ref_zoom[1]),
almost_flat[np.where((almost_flat > 20))[0][0]]+np.argmax(ref_zoom[1]))
# subtract baseline around reference peak # subtract baseline around reference peak
sol = self.solve_linear_eq(integ_limit, ref_zoom) sol = self.solve_linear_eq(integ_limit, ref_zoom)
@ -215,7 +221,7 @@ class DSCCalibrator:
ref_grad = np.gradient(ref_zoom[1]) ref_grad = np.gradient(ref_zoom[1])
max_grad = np.argmax(ref_grad) max_grad = np.argmax(ref_grad)
grad_pos = max_grad-int(50 / rate), max_grad grad_pos = max_grad-max(1, int(160 / rate)), max_grad
sol = self.solve_linear_eq(grad_pos, ref_zoom) sol = self.solve_linear_eq(grad_pos, ref_zoom)
onset = sol[0] * ref_zoom[0] + sol[1] onset = sol[0] * ref_zoom[0] + sol[1]