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Install

Install this package:

emerge -a sci-physics/smodels

If the package is masked, you can unmask it using the autounmask tool or standard emerge options:

autounmask sci-physics/smodels

Or alternatively:

emerge --autounmask-write -a sci-physics/smodels

Package Information

Description:

SModelS is an automatic, public tool for interpreting simplified-model results from the LHC. It is based on a general procedure to decompose Beyond the Standard Model (BSM) collider signatures presenting a Z2 symmetry into Simplified Model Spectrum (SMS) topologies. Our method provides a way to cast BSM predictions for the LHC in a model independent framework, which can be directly confronted with the relevant experimental constraints.

Homepage:

https://github.com/SModelS/smodels

License:

MIT

Versions

Metadata

Description

• SModelS is an automatic, public tool for interpreting simplified-model results from the LHC. It is based on a general procedure to decompose Beyond the Standard Model (BSM) collider signatures presenting a Z2 symmetry into Simplified Model Spectrum (SMS) topologies. Our method provides a way to cast BSM predictions for the LHC in a model independent framework, which can be directly confronted with the relevant experimental constraints.

Maintainers

• Gentoo Science Project (sci@gentoo.org) - Type: project
• Alexander Puck Neuwirth (alexander@neuwirth-informatik.de) - Type: person

Upstream

• Remote IDs:
  • pypi: smodels
  • github: SModelS/smodels

<pkgmetadata>
	<maintainer type="project">
		<email>sci@gentoo.org</email>
		<name>Gentoo Science Project</name>
	</maintainer>
	<maintainer type="person">
		<email>alexander@neuwirth-informatik.de</email>
		<name>Alexander Puck Neuwirth</name>
	</maintainer>
	<longdescription lang="en">
	SModelS is an automatic, public tool for interpreting simplified-model results from the LHC. It is based on a general procedure to decompose Beyond the Standard Model (BSM) collider signatures presenting a Z2 symmetry into Simplified Model Spectrum (SMS) topologies. Our method provides a way to cast BSM predictions for the LHC in a model independent framework, which can be directly confronted with the relevant experimental constraints.
	</longdescription>
	<upstream>
		<remote-id type="pypi">smodels</remote-id>
		<remote-id type="github">SModelS/smodels</remote-id>
	</upstream>
</pkgmetadata>

Lint Warnings

• [Error] Missing md5-cache for ebuild smodels-2.3.0
• [Error] Missing md5-cache for ebuild smodels-2.2.1

Manifest