forked from AmbaPant/mantid
-
Notifications
You must be signed in to change notification settings - Fork 1
/
ZFdipole.py
35 lines (27 loc) · 1.25 KB
/
ZFdipole.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
# Mantid Repository : https://github.com/mantidproject/mantid
#
# Copyright © 2019 ISIS Rutherford Appleton Laboratory UKRI,
# NScD Oak Ridge National Laboratory, European Spallation Source,
# Institut Laue - Langevin & CSNS, Institute of High Energy Physics, CAS
# SPDX - License - Identifier: GPL - 3.0 +
# pylint: disable=invalid-name, anomalous-backslash-in-string, attribute-defined-outside-init
from mantid.api import IFunction1D, FunctionFactory
import numpy as np
class ZFdipole(IFunction1D):
def category(self):
return "Muon\\MuonSpecific"
def init(self):
self.declareParameter("A0", 0.2)
self.declareParameter("BDip", 10)
self.declareParameter("LambdaTrans", 0.2, 'Lambda-Trans (MHz)')
self.addConstraints("BDip > 0")
self.addConstraints("LambdaTrans > 0")
def function1D(self, x):
A0 = self.getParameterValue("A0")
BDip = self.getParameterValue("BDip")
LambdaTrans = self.getParameterValue("LambdaTrans")
gmu = 2 * np.pi * 0.01355342
Omega = gmu * BDip
return A0 * (1. / 6) * (1 + np.exp(- LambdaTrans * x) * (
np.cos(Omega * x) + 2 * np.cos(1.5 * Omega * x) + 2 * np.cos(0.5 * Omega * x)))
FunctionFactory.subscribe(ZFdipole)