Published on 27 February 2020

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

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Reyes-González, Humberto;Lessa, Andre;Otten, Sydney

Description

Training data set used in the ''Learning the production cross sections of the Inert Doublet Model'' 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< MH0, MA0, MHC<3000GeV;−2π < lam2,lamL<2π. The cross sections were computed at leading order using MADGRAPH2.6.4 and the IDM UFO implementation from the FeynRules data base.

Citations (0)

Mentions (0)

Metrics

Dataset Index

1.9

FAIR Score

77%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Zenodo

Assigned Domain

Subfield

Electrical and Electronic Engineering

Field

Engineering

Domain

Physical Sciences

Confidence Score

35%

Source

Scholar Data Model

Normalization Factors

FT

13.46

CTw

1.00

MTw

1.00