Commit 75d8fd5b authored by Martin Reinecke's avatar Martin Reinecke

cosmetics

parent cb30efb6
Pipeline #24973 passed with stage
in 6 minutes and 44 seconds
......@@ -70,7 +70,7 @@ if __name__ == "__main__":
# Generate plots
zmax = max(ht(sh).max(), ht(m).max())
zmin = min(ht(sh).min(), ht(m).min())
plotdict = {"zmax": zmax, "zmin": zmin,"colormap": "Planck-like"}
plotdict = {"zmax": zmax, "zmin": zmin, "colormap": "Planck-like"}
plotdict2 = {"colormap": "Planck-like"}
ift.plot(ht(sh), name="mock_signal.png", **plotdict)
ift.plot(ht(m), name="reconstruction.png", **plotdict)
......
......@@ -20,12 +20,12 @@ from ..operators.inversion_enabler import InversionEnabler
from .response_operators import LinearizedPowerResponse
def NonlinearPowerCurvature(tau, ht, Instrument, nonlinearity, Projection, N,
def NonlinearPowerCurvature(tau, ht, Instrument, nonlinearity, Distribution, N,
T, xi_sample_list, inverter):
result = None
for xi_sample in xi_sample_list:
LinearizedResponse = LinearizedPowerResponse(
Instrument, nonlinearity, ht, Projection, tau, xi_sample)
Instrument, nonlinearity, ht, Distribution, tau, xi_sample)
op = LinearizedResponse.adjoint*N.inverse*LinearizedResponse
result = op if result is None else result + op
result = result*(1./len(xi_sample_list)) + T
......
......@@ -24,7 +24,7 @@ def LinearizedSignalResponse(Instrument, nonlinearity, ht, power, m):
def LinearizedPowerResponse(Instrument, nonlinearity, ht, Distribution, tau,
xi):
xi):
power = exp(0.5*tau)
position = ht(Distribution(power)*xi)
linearization = nonlinearity.derivative(position)
......
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