def R(self):
"""Responsivity.
Slope of the (u_y - u_y_dark) Vs u_p. Fit with offset = 0
Uses the :func:`~emva1288.process.routines.LinearB0` function
to make the fit.
.. emva1288::
:Section: sensitivity
:Short: Responsivity
:Symbol: R
:Unit: DN/p
"""
Y = self.temporal['u_y'] - self.temporal['u_ydark']
X = self.temporal['u_p']
val, _error = routines.LinearB0(
X[self.index_sensitivity_min:self.index_sensitivity_max + 1],
Y[self.index_sensitivity_min:self.index_sensitivity_max + 1])
return val[0]
def K(self):
"""Overall system gain.
Slope of (s2_y - s2_y_dark) Vs (u_y - u_y_dark). Fit with
offset = 0. Uses the :func:`~emva1288.process.routines.LinearB0`
to make the fit.
.. emva1288::
:Section: sensitivity
:Short: System gain
:Symbol: K
:Unit: $DN/e^-$
:LatexName: K
"""
X = self.temporal['u_y'] - self.temporal['u_ydark']
Y = self.temporal['s2_y'] - self.temporal['s2_ydark']
val, _error = routines.LinearB0(
X[self.index_sensitivity_min:self.index_sensitivity_max + 1],
Y[self.index_sensitivity_min:self.index_sensitivity_max + 1])
return val[0]