def test_sas():
from skultrafast.kinetic_model import Model
ds = TimeResSpec(wl, t, data)
x0 = [0.1, 0.1, 1, 1000]
out = ds.fit_exp(x0)
m = Model()
m.add_transition('S1', 'S1*', 'k1')
m.add_transition('S1', 'zero', 'k2')
out.make_sas(m, {})
m2 = Model()
m2.add_transition('S1', 'S1*', 'k1', 'qy1')
m2.add_transition('S1', 'zero', 'k2')
out.make_sas(m2, {'qy1': 0.5})
def test_das_plots():
ds = TimeResSpec(wl, t, data)
x0 = [0.1, 0.1, 1, 1000]
out = ds.fit_exp(x0)
ds.plot.das()
ds.plot.edas()
def test_fitter():
ds = TimeResSpec(wl, t, data)
x0 = [0.1, 0.1, 1, 1000]
out = ds.fit_exp(x0)
def test_error_calc():
ds = TimeResSpec(wl, t, data)
x0 = [0.1, 0.1, 1, 1000]
out = ds.fit_exp(x0)
out.calculate_stats()
def test_fitter():
ds = TimeResSpec(wl, t, data)
x0 = [0.1, 0.1, 1, 1000]
out = ds.fit_exp(x0)