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

Update fit2.py

Browse Source 
While function to find different indexes if the peak is very thin and sigma is much smaller than step, added the find_nearest which was missing for some reason.
This commit is contained in:
JakHolzer 2020-09-14 14:34:26 +02:00 committed by Ivan Usov
parent b157c2a3ae
commit aa9b0c99ae
1 changed files with 19 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

18
pyzebra/fit2.py
View File

@ -4,6 +4,12 @@ from scipy import integrate
from scipy.integrate import simps
def find_nearest(array, value):
array = np.asarray(array)
idx = (np.abs(array - value)).argmin()
return idx
def fitccl(
data, keys, guess, vary, constraints_min, constraints_max, numfit_min=None, numfit_max=None
):
@ -100,7 +106,17 @@ def fitccl(
)
numfit_min = gauss_3sigmamin if numfit_min is None else find_nearest(x, numfit_min)
numfit_max = gauss_3sigmamax if numfit_max is None else find_nearest(x, numfit_max)
print(numfit_max, numfit_min)
it = -1
while numfit_max == numfit_min:
it = it + 1
numfit_min = find_nearest(
x, result.params["g_cen"].value - 3 * (1 + it / 10) * result.params["g_width"].value
)
numfit_max = find_nearest(
x, result.params["g_cen"].value + 3 * (1 + it / 10) * result.params["g_width"].value
)
if x[numfit_min] < np.min(x):
numfit_min = gauss_3sigmamin
print("Minimal integration value outside of x range")