def test_compton_model():
energy = 10
offset = 0.001
fano = 0.01
angle = 90
fwhm_corr = 1
amp = 20
f_step = 0.05
f_tail = 0.1
gamma = 2
hi_f_tail = 0.01
hi_gamma = 1
e_offset = 0
e_linear = 0.01
e_quadratic = 0
x = np.arange(800, 1200, 1.0)
true_param = [energy, amp]
out = compton(x, amp, energy, offset, fano, e_offset, e_linear,
e_quadratic, angle, fwhm_corr, f_step, f_tail, gamma,
hi_f_tail, hi_gamma)
cm = ComptonModel()
# parameters not sensitive
cm.set_param_hint(name='compton_hi_gamma', value=hi_gamma, vary=False)
cm.set_param_hint(name='fwhm_offset', value=offset, vary=False)
cm.set_param_hint(name='compton_angle', value=angle, vary=False)
cm.set_param_hint(name='e_offset', value=e_offset, vary=False)
cm.set_param_hint(name='e_linear', value=e_linear, vary=False)
cm.set_param_hint(name='e_quadratic', value=e_quadratic, vary=False)
cm.set_param_hint(name='fwhm_fanoprime', value=fano, vary=False)
cm.set_param_hint(name='compton_hi_f_tail', value=hi_f_tail, vary=False)
cm.set_param_hint(name='compton_f_step', value=f_step, vary=False)
cm.set_param_hint(name='compton_f_tail', value=f_tail, vary=False)
cm.set_param_hint(name='compton_gamma', value=gamma, vary=False)
cm.set_param_hint(name='compton_amplitude', value=20, vary=False)
cm.set_param_hint(name='compton_fwhm_corr', value=fwhm_corr, vary=False)
p = cm.make_params()
result = cm.fit(out,
x=x,
params=p,
compton_amplitude=20,
coherent_sct_energy=10)
fit_val = [
result.values['coherent_sct_energy'],
result.values['compton_amplitude']
]
assert_array_almost_equal(true_param, fit_val, decimal=2)
def test_compton_model():
energy = 10
offset = 0.001
fano = 0.01
angle = 90
fwhm_corr = 1
amp = 20
f_step = 0.05
f_tail = 0.1
gamma = 2
hi_f_tail = 0.01
hi_gamma = 1
e_offset = 0
e_linear = 0.01
e_quadratic = 0
x = np.arange(800, 1200, 1.0)
true_param = [energy, amp]
out = compton(x, amp, energy, offset, fano,
e_offset, e_linear, e_quadratic,
angle, fwhm_corr, f_step, f_tail,
gamma, hi_f_tail, hi_gamma)
cm = ComptonModel()
# parameters not sensitive
cm.set_param_hint(name='compton_hi_gamma', value=hi_gamma, vary=False)
cm.set_param_hint(name='fwhm_offset', value=offset, vary=False)
cm.set_param_hint(name='compton_angle', value=angle, vary=False)
cm.set_param_hint(name='e_offset', value=e_offset, vary=False)
cm.set_param_hint(name='e_linear', value=e_linear, vary=False)
cm.set_param_hint(name='e_quadratic', value=e_quadratic, vary=False)
cm.set_param_hint(name='fwhm_fanoprime', value=fano, vary=False)
cm.set_param_hint(name='compton_hi_f_tail', value=hi_f_tail, vary=False)
cm.set_param_hint(name='compton_f_step', value=f_step, vary=False)
cm.set_param_hint(name='compton_f_tail', value=f_tail, vary=False)
cm.set_param_hint(name='compton_gamma', value=gamma, vary=False)
cm.set_param_hint(name='compton_amplitude', value=20, vary=False)
cm.set_param_hint(name='compton_fwhm_corr', value=fwhm_corr, vary=False)
p = cm.make_params()
result = cm.fit(out, x=x, params=p, compton_amplitude=20,
coherent_sct_energy=10)
fit_val = [result.values['coherent_sct_energy'],
result.values['compton_amplitude']]
assert_array_almost_equal(true_param, fit_val, decimal=2)
def test_compton_peak():
"""
test of compton peak from xrf fit
"""
y_true = [
0.01332237, 0.01536984, 0.01870113, 0.02401014, 0.03223281, 0.04455143,
0.0623487, 0.08709168, 0.12013435, 0.16244524, 0.2142911, 0.27493377,
0.34241693, 0.41352197, 0.48395163, 0.5487556, 0.6029529, 0.64224726,
0.66369326, 0.65792554, 0.63050209, 0.58478146, 0.52510892, 0.45674079,
0.38508357, 0.31500557, 0.25033778, 0.19362201, 0.14610264, 0.10790876,
0.07834781, 0.05623019, 0.04016135, 0.02876383, 0.02081757, 0.01532608,
0.01152704, 0.00886833, 0.00696818, 0.00557234
]
energy = 10
offset = 0.01
fano = 0.01
angle = 90
fwhm_corr = 1
amp = 1
f_step = 0
f_tail = 0.1
gamma = 10
hi_f_tail = 0.1
hi_gamma = 1
e_offset = 0
e_linear = 1
e_quadratic = 0
ev = np.arange(8, 12, 0.1)
out = compton(ev, amp, energy, offset, fano, e_offset, e_linear,
e_quadratic, angle, fwhm_corr, f_step, f_tail, gamma,
hi_f_tail, hi_gamma)
assert_array_almost_equal(y_true, out)
def test_compton_peak():
"""
test of compton peak from xrf fit
"""
y_true = [0.01332237, 0.01536984, 0.01870113, 0.02401014, 0.03223281,
0.04455143, 0.0623487, 0.08709168, 0.12013435, 0.16244524,
0.2142911, 0.27493377, 0.34241693, 0.41352197, 0.48395163,
0.5487556, 0.6029529, 0.64224726, 0.66369326, 0.65792554,
0.63050209, 0.58478146, 0.52510892, 0.45674079, 0.38508357,
0.31500557, 0.25033778, 0.19362201, 0.14610264, 0.10790876,
0.07834781, 0.05623019, 0.04016135, 0.02876383, 0.02081757,
0.01532608, 0.01152704, 0.00886833, 0.00696818, 0.00557234]
energy = 10
offset = 0.01
fano = 0.01
angle = 90
fwhm_corr = 1
amp = 1
f_step = 0
f_tail = 0.1
gamma = 10
hi_f_tail = 0.1
hi_gamma = 1
e_offset = 0
e_linear = 1
e_quadratic = 0
ev = np.arange(8, 12, 0.1)
out = compton(ev, amp, energy, offset, fano,
e_offset, e_linear, e_quadratic, angle,
fwhm_corr, f_step, f_tail,
gamma, hi_f_tail, hi_gamma)
assert_array_almost_equal(y_true, out)