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Execute new commondata generation in CI #2099
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There are a few datasets that have changed. Many of them are due to numerical fluctuations, so #2095 needs to be propagated. List of datasets that have been modified
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Looking at the datasets one-by-one, the changes in the uncertainties are due to:
- numerical fluctuations which are solved by Don't save more decimals than necessary in the uncertainty (or data) files #2095
- changes of signs due to the decomposition of the covmats (cc @enocera).
There are only a few datasets (CMS_1JET_8TEV
and some of the STAR
data [cc @giacomomagni]) for which there are changes not attributed to one of the above.
nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/uncertainties_A.yaml
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nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/uncertainties_B.yaml
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nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/uncertainties_C.yaml
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nnpdf_data/nnpdf_data/new_commondata/CMS_1JET_8TEV/uncertainties.yaml
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@Radonirinaunimi do we want to try to merge this before going through the actual data? |
Sorry for the late reply, for some reasons I have not received notifications about this. Yes, let me resolve these merge conflicts tomorrow and then we can try to merge. As far as I recall, there is only one single dataset that I need to look really closer. |
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Thank you very much for this. This is really fantastic.
I've added the fitbot flag thinking about maybe small changes but I don't actually think it is necessary seeing that the regression tests have not changed.
We might want to wait until it finish since it is already running though.
Greetings from your nice fit 🤖 !
Check the report carefully, and please buy me a ☕ , or better, a GPU 😉! |
Greetings from your nice fit 🤖 !
Check the report carefully, and please buy me a ☕ , or better, a GPU 😉! |
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Thanks!
Greetings from your nice fit 🤖 !
Check the report carefully, and please buy me a ☕ , or better, a GPU 😉! |
Addresses #1457 but also:
filter.py
works properlyRemaining to do:
nnpdf_data/nnpdf_data/new_commondata