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'Learning the production cross sections of the Inert Doublet Model' training data set.

<p>Training data set used in the &#39;&#39;Learning the production cross sections of the Inert Doublet Model&#39;&#39; subproject, made of 50000 samples with 5 input values (MH0, MA0, MHC, lam2, lamL) and 8 target values (xsec_3535_13TeV, xsec_3636_13TeV, xsec_3737_13TeV, xsec_3537_13TeV, xsec_3637_13TeV, xsec_3735_13TeV, xsec_3736_13TeV, xsec_3536_13TeV) from a parameter space of the Inert Doublet Model chosen as: 50&lt; MH0, MA0, MHC&lt;3000GeV;&minus;2&pi; &lt; lam2,lamL&lt;2&pi;. The cross sections were computed at leading order using MADGRAPH2.6.4 and the IDM UFO implementation from the FeynRules data base.</p> <p>&nbsp;</p> <p>&nbsp;</p>

ShareScore

24/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
0
Engagement
0

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