Comments (3)
Ah okay, sorry, hadn't understood you were talking about generating covmats. But good, then we agree on what to do!
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We should be able to get a covmat using the theory predictions and calculating correlations by summing over replicas. Perhaps we should also include the MHOU.
Anyway, my point is that we don't need lambda but can just calculate the chi2 also for the matching with yadism, so no need to make adjustments to the code.
from nnusf.
We should be able to get a covmat using the theory predictions and calculating correlations by summing over replicas. Perhaps we should also include the MHOU.
Anyway, my point is that we don't need lambda but can just calculate the chi2 also for the matching with yadism, so no need to make adjustments to the code.
Yep, this way of doing it I do agree (as mentioned in the chat).
from nnusf.
Related Issues (20)
- Collect various analyses plots HOT 9
- Some improvements we may want to make to the code HOT 1
- Fix coefficients for some cross sections HOT 6
- Add option for log frequency of chi2 history to runcard
- Matching for high-Q2 and A=1 does not properly work
- Potential issue with (quoted) Validation chi2 for CDHSW_F2, CHORUS_F2, NUTEV_F2 HOT 3
- Add the possibility to include a Docker container
- Quote experimental chi2 of real data in report summary
- Fix github workflows
- Improve predictions in the small-x extrapolation region HOT 1
- Add theory covmat to Yadism data
- Address potential overfitting wrt matching data HOT 8
- Implement pdf+th error for yadism grids HOT 8
- Re-compute Yadism theory with FFNS5 @ NLO
- Add module that corrects isoscalarity for a given PDF set HOT 1
- Tests to be carried out for the paper once final fit is ready
- Make the Code public
- PyPI package is broken
- Computation of GLS sum rules broke due to changes in EKO HOT 2
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