Closed RoyStegeman closed 1 year ago
So, the following interpolation requires the arguments to be at least 2 elements:
This poses a problem when generating predictions since we only generate predictions for one single $A$ . One then needs to somehow take this into account in the following functions https://github.com/NNPDF/nnusf/blob/c53ca4ec2e9374dbb00cb5f749bdaad2ab25da9c/src/nnusf/plot/fit.py#L152
or somehow fake it when extracting the unique values https://github.com/NNPDF/nnusf/blob/c53ca4ec2e9374dbb00cb5f749bdaad2ab25da9c/src/nnusf/sffit/scaling.py#L22
For the sake of just generating SF plots with the last fit, the latter seems to be the least amount of work. I'll see this in a bit but just wanted to update here.
I guess we won't need this anymore? If so, can it be closed?
I guess we won't need this anymore? If so, can it be closed?
Yes, indeed!
Thanks! I will run a fit now.