Sébastien Wertz
Sébastien Wertz
Also observed here; I use ` let g:NERDDefaultAlign = 'left'`, which works fine when commenting a block of lines using `NERDCommenterToggle`, but if `NERDCommenterInvert` is used instead, the left indent...
What is the status of this? I understand multiple free parameters (`normfactor`) are possible, but I assume they will all be profiled? It's not entirely clear from the documentation...
That's great! I'm interested in doing likelihood unfolding, but there are many other use cases for multi-parameter fits (for instance, fitting EFT parameters). Here CLs limits are not really useful...
> The newest (and as it seems final) design has just been recently agreed on (internally), the specs will be put up soon (created a placeholder: zfit/zfit-development#48). It will still...
Sure, please do!
A nice interface for this would be using array indexing, e.g. doing: ``` h = Hist(hist.axis.Regular(5, -5, 5)) rebinned_h = h[ [[0], [1,2,3], [4]] ] ``` Would return a new...
Thanks @cramonal , a couple of things: - The new branches should be added to the DQM: https://github.com/cms-sw/cmssw/blob/master/PhysicsTools/NanoAOD/python/nanoDQM_cfi.py#L489 - I do not understand why we need the MVA score to...
> Can you point me to the era modifier needed for processing miniv2? Before I can answer that, could you clarify whether that new mvaID will be supported also for...
In that case you would need to insert the on-the-fly evaluation for these modifiers: ``` run2_miniAOD_80XLegacy | run2_nanoAOD_92X | run2_nanoAOD_94X2016 | run2_nanoAOD_94XMiniAODv1 | run2_nanoAOD_94XMiniAODv2 | run2_nanoAOD_102Xv1 | run2_nanoAOD_106Xv1 | run2_nanoAOD_106Xv2...