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Hi, for the symmetric split-step, the linear step is currently set as:
A[:] = self.LinearStep(A,dz,direction)
However, is uses
self.Calculate_expD(h,direction)
and there:
self.exp_D[:] = np.exp(directionh0.5*(1j*self.betas-self.alpha/2.0))
In my opinion, the 0.5 is a mistake.
It actually works for the RK4IP implementation, because there, the first step is only dz/2. Currently it is done by
self.A_I[:] = self.LinearStep(A,h,direction)
but should be something like: self.A_I[:] = self.LinearStep(A,h/2.0 ,direction)
if the LinearStep is corrected.
You can check that there are different results when replacing the method for simple problems
evol.method=SSFM.SSFM.METHOD_SSFM
#evol.method=SSFM.SSFM.METHOD_RK4IP
as well as the dispersion parameter D tells you by its value for linear propagation, how the pulse should spread, but it does only half its value.
cheers, Tom
The text was updated successfully, but these errors were encountered:
Hi, for the symmetric split-step, the linear step is currently set as:
A[:] = self.LinearStep(A,dz,direction)
However, is uses
self.Calculate_expD(h,direction)
and there:
self.exp_D[:] = np.exp(directionh0.5*(1j*self.betas-self.alpha/2.0))
In my opinion, the 0.5 is a mistake.
It actually works for the RK4IP implementation, because there, the first step is only dz/2. Currently it is done by
self.A_I[:] = self.LinearStep(A,h,direction)
but should be something like: self.A_I[:] = self.LinearStep(A,h/2.0 ,direction)
if the LinearStep is corrected.
You can check that there are different results when replacing the method for simple problems
evol.method=SSFM.SSFM.METHOD_SSFM
#evol.method=SSFM.SSFM.METHOD_RK4IP
as well as the dispersion parameter D tells you by its value for linear propagation, how the pulse should spread, but it does only half its value.
cheers, Tom
The text was updated successfully, but these errors were encountered: