text stringlengths 0 828 |
|---|
Z1 = np.empty(self.fb_resistor.shape) |
Z1.fill(np.nan) |
# convert to masked array |
Z1 = np.ma.masked_invalid(Z1) |
R2 = self.calibration.R_fb[self.fb_resistor[ind]] |
C2 = self.calibration.C_fb[self.fb_resistor[ind]] |
Z1[ind] = compute_from_transfer_function(self.calibration.hw_version |
.major, 'Z1', |
V1=self.V_total()[ind], |
V2=self.V_fb[ind], R2=R2, |
C2=C2, f=self.frequency) |
Z1 = np.ma.masked_invalid(pd.Series(Z1, pd.to_datetime(self.time, unit='s') |
).interpolate(method='time').values) |
Z1.fill_value = np.nan |
Z1.data[Z1.mask] = Z1.fill_value |
# if we're filtering and we don't have a window size specified, |
# automatically determine one |
if filter_order and window_size is None: |
window_size = self._get_window_size(tol) |
# if the filter_order or window size is None or if the window size is |
# smaller than filter_order + 2, don't filter |
if (filter_order is None or window_size is None or window_size < filter_order + 2): |
pass |
else: |
# if the window size is less than half the sample length |
if window_size and window_size < len(Z1) / 2: |
# suppress polyfit warnings |
with warnings.catch_warnings(): |
warnings.simplefilter(""ignore"") |
Z1 = savgol_filter(Z1, window_size, filter_order) |
else: # fit a line |
result = self.mean_velocity(tol=tol) |
if result['dt'] and \ |
result['dt'] > 0.1 * self.time[-1] and result['p'][0] > 0: |
if self.calibration._c_drop: |
c_drop = self.calibration.c_drop(self.frequency) |
else: |
c_drop = self.capacitance()[-1] / self.area |
if self.calibration._c_filler: |
c_filler = self.calibration.c_filler(self.frequency) |
else: |
c_filler = 0 |
x = result['p'][0]*self.time + result['p'][1] |
C = self.area * (x * (c_drop - c_filler) / \ |
np.sqrt(self.area) + c_filler) |
Z1 = 1.0 / (2.0 * math.pi * self.frequency * C) |
Z1[mlab.find(self.time==result['t_end'])[0]+1:] = \ |
Z1[mlab.find(self.time==result['t_end'])[0]] |
else: |
Z1 = np.mean(Z1)*np.ones(Z1.shape) |
return Z1" |
949,"def force(self, Ly=None): |
''' |
Estimate the applied force (in Newtons) on a drop according to the |
electromechanical model [1]. |
Ly is the length of the actuated electrode along the y-axis |
(perpendicular to the direction of motion) in milimeters. By |
default, use the square root of the actuated electrode area, |
i.e., |
Ly=Lx=sqrt(Area) |
To get the force normalized by electrode width (i.e., in units |
of N/mm), set Ly=1.0. |
1. Chatterjee et al., ""Electromechanical model for actuating liquids in |
a two-plate droplet microfluidic device,"" Lab on a Chip, no. 9 |
(2009): 1219-1229. |
''' |
if self.calibration._c_drop: |
c_drop = self.calibration.c_drop(self.frequency) |
else: |
c_drop = self.capacitance()[-1] / self.area |
if self.calibration._c_filler: |
c_filler = self.calibration.c_filler(self.frequency) |
else: |
c_filler = 0 |
if Ly is None: |
Ly = np.sqrt(self.area) |
return 1e3 * Ly * 0.5 * (c_drop - c_filler) * self.V_actuation()**2" |
950,"def capacitance(self, filter_order=None, window_size=None, tol=0.05): |
''' |
Compute the capacitance of the DMF device _(i.e., dielectric and |
droplet)_ based on the computed impedance value. |
Note: this assumes impedance is purely capacitive load. |
TODO: Is this assumption ok? |
''' |
C = np.ma.masked_invalid(1.0 / (2.0 * math.pi * self.frequency * |
self.Z_device(filter_order=filter_order, |
window_size=window_size, tol=tol))) |
C.fill_value = np.nan |
C.data[C.mask] = C.fill_value |
return C" |
951,"def x_position(self, filter_order=None, window_size=None, tol=0.05, |
Lx=None): |
''' |
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