def calck(filename, f_min, f_max,
quality_factor, spring_constant, resonance_frequency, temperature):
"""Base function for the command line interface. TODO: Add numpy style
param strings."""
est_cant = Cantilever(f_c=resonance_frequency*u.Hz,
k_c=spring_constant*u.N/u.m,
Q=quality_factor*u.dimensionless)
data = get_data(filename)
bmf = BrownianMotionFitter(*data, T=temperature, est_cant=est_cant)
bmf.calc_fit(f_min, f_max)
return bmf
class testBrownianMotionFitter_fitting(unittest.TestCase):
def setUp(self):
self.bmf = BrownianMotionFitter(f, PSDx, PSD_wgt, T, est_cant)
def test_guess_P_detector(self):
self.bmf._guess_P_detector()
assert_almost_equal(self.bmf.P_detector0_raw, 6.5209499999999999e-09)
def test_scale_data(self):
self.bmf.P_detector0_raw = 6.5209499999999999e-09
self.bmf._scale_data()
np.testing.assert_allclose(ex_scaled_PSD, self.bmf.PSD)
assert self.bmf.P_detector0 == 1
def test_calc_initial_params(self):
self.bmf.P_detector0_raw = 6.5209499999999999e-09
self.bmf.P_detector0 = 1
self.bmf.PSD = ex_scaled_PSD
self.bmf._calc_initial_params()
ex_initial_params = [8.917375e-05, 63700, 20000]
np.testing.assert_allclose(ex_initial_params, self.bmf.initial_params)
def setUp(self):
self.bmf = BrownianMotionFitter(f, PSDx, PSD_wgt, T, est_cant)