rug

Results 14 comments of rug

Positional arguments in KinematicalModel.simulate()

Thanks, yes, it works (with UserWarning). FYI, the UserWarning was present also in version 1.7.4.

Stacking orientation of non-cubic layers

Hi, thanks for the reply. In a first instance, my goal is to simulate radial scans of a stack where a layer with tetragonal symmetry is on a cubic substrate....

Stacking orientation of non-cubic layers

Thanks, form the ApplyStrain documentation, no elastic response is considered thus no strain broadening is generated. What would be a good way to introduce the effect in a layer? Should...

Stacking orientation of non-cubic layers

> From your reply I understand you want to calculate long symmetric radial scans. In this case the inplane orientation does not matter. Also I guess in a first place...

Stacking orientation of non-cubic layers

Thank you. Sorry, I missed that.

Errors propagation

Thanks @domna. With σ you refer to the experimental errors on Psi and Delta? It seems to me that a direct call to minimize of lmfit allows to have things...

Errors propagation

Thanks @domna, Thanks. I think in the derivatives there is a "-" missing, since the derivative of exp(-jx) is -j*exp(-jx), which squared is -exp(-2ix). This would mean that the partial...

Errors propagation

Thanks!! I am not sure I see the change, maybe this err_rho = data_aoi['err_rho'].to_numpy() ** 2 ? anyway the fit message and other attributes confirm. The plot too :-). Though...

Errors propagation

thanks! Yes, I did not finish to read it yet but it seems to be the one. Let me know how you want to proceed, if I can do anything.

Errors propagation

Thanks @domna! I think it is correct. Yes, agree that derivatives should come thourgh numdifftools. After all, as far as I know, also lmfit uses numdifftools. Reducing $\mathrm{Cov}$ and $\rm{C}$...