Let's collect here (or in an associated wiki page) the information about the situation of the FTDY grids in the MHOU fits (see here) I would like to know whether this is something that we can fix in vrap.
I've had a quick look at the following grid from theory 400 DYE866P.pineappl.lz4 (so it does include only NLO)
When doing pineappl convolute with NNPDF4.0 we get quite reasonable results for all datapoints (I'm not copying them here but the central values are all positive and the scale variations move in the 10-20% range). One example of this:
pineappl convolute DYE866P.pineappl.lz4 NNPDF40_nnlo_as_01180
124 12.35 12.35 0.748651 0.748651 1.2137391e-1 -17.59 22.61
125 13.85 13.85 0.679481 0.679481 6.7099958e-2 -18.69 24.38
126 15.85 15.85 0.604361 0.604361 2.8980554e-2 -20.07 26.64
However, if I now use 190310-tg-nlo-global with pineappl convolute, some points are very similar, while others become negative or receive very large scale corrections (the last three columns are cv, and -,+ scales in the 7-points prescription)
pineappl convolute DYE866P.pineappl.lz4 190310-tg-nlo-global
124 12.35 12.35 0.748651 0.748651 2.0278953e-2 -72.45 112.19
125 13.85 13.85 0.679481 0.679481 -4.8924728e-2 4.59 -4.58
126 15.85 15.85 0.604361 0.604361 -6.4598359e-2 17.67 -15.38
Note that this is with the NLO grid. With the NNLO grids the effect are less pronounced (but still there).
This is coming from negative points in the PDF. When I do convolute with 190310-tg-nlo-global with --force positive I find results compatible with NNPDF4.0. So @andreab1997 one possible solution (regardless of other cuts that might be implemented) would be to apply a "positive cutoff" in the computation of the MHOU. On one hand this is reasonable (a negative cross section is unphysical) but it might be a bit challenging to do while keeping the uncertainties perfectly gaussian.
pineappl convolute DYE866P.pineappl.lz4 190310-tg-nlo-global --force-positive
124 12.35 12.35 0.748651 0.748651 1.3515310e-1 -17.79 23.27
125 13.85 13.85 0.679481 0.679481 6.9460581e-2 -19.38 25.07
126 15.85 15.85 0.604361 0.604361 2.6455519e-2 -21.89 28.98
Let's collect here (or in an associated wiki page) the information about the situation of the FTDY grids in the MHOU fits (see here) I would like to know whether this is something that we can fix in vrap.
I've had a quick look at the following grid from theory 400 DYE866P.pineappl.lz4 (so it does include only NLO)
When doing
pineappl convolutewith NNPDF4.0 we get quite reasonable results for all datapoints (I'm not copying them here but the central values are all positive and the scale variations move in the 10-20% range). One example of this:pineappl convolute DYE866P.pineappl.lz4 NNPDF40_nnlo_as_01180However, if I now use
190310-tg-nlo-globalwith pineappl convolute, some points are very similar, while others become negative or receive very large scale corrections (the last three columns are cv, and -,+ scales in the 7-points prescription)pineappl convolute DYE866P.pineappl.lz4 190310-tg-nlo-globalNote that this is with the NLO grid. With the NNLO grids the effect are less pronounced (but still there).
This is coming from negative points in the PDF. When I do
convolutewith190310-tg-nlo-globalwith--force positiveI find results compatible with NNPDF4.0. So @andreab1997 one possible solution (regardless of other cuts that might be implemented) would be to apply a "positive cutoff" in the computation of the MHOU. On one hand this is reasonable (a negative cross section is unphysical) but it might be a bit challenging to do while keeping the uncertainties perfectly gaussian.pineappl convolute DYE866P.pineappl.lz4 190310-tg-nlo-global --force-positive