Resummino computes resummation predictions for Beyond the Standard Model (BSM) particle production at hadron colliders up to the NLO+NLL level. Currently the processes implemented include gaugino-pair production, slepton-pair and the associated gaugino-gluino production. It is able to compute total cross sections as well as invariant-mass and transverse-momentum distributions. The latter has not been implemented for the associated production.
The new version Resummino 2.0.1 includes the associated production of gauginos and gluinos at NLO+NLL and of gauginos and squarks (still in development) at LO accuracy. Furthermore, it can be used to compute ordinary (not collinear improved) threshold resummation at the NLO+NNLL accuracy level for slepton- and gaugino-pair production. Note that this version uses LoopTools (instead of QCD-loops) for the evaluation of the loop integrals which has to be installed and linked to resummino. Instructions can be found in the Readme file. You can also try the version which already includes LoopTools-2.13. This LoopTools version has slightly been modified in order to increase the speed. If you are just interested in the production of slepton and gaugino pairs you can still download the older version (Resummino 1.0.9).
This is open-source software under the terms of the European Union Public Licence, version 1.1 or later, and is actively developed at Institut für Theoretische Physik, Universität Münster, Germany, the Research Group of Prof. Dr. Michael Klasen.
A simple Quick Start is available with minimal instructions to get Resummino working.
There is also a more comprehensive User Guide for usage reference.
The physics manual is available as arXiv:1304.0790.
The latest version is 2.0.1 (2016-11-30):
All previous releases are available on the download server for reference.
If using Resummino for slepton pair production, please cite:
For gaugino pair production, please cite:
For associated gaugino-gluino production, please cite:
New releases will be announced on the mailing list. If you find any bug or have any proposal, please use the issue tracker. For anything else you can contact us at resummino [at] uni-muenster.de. Any feedback is appreciated.
The NLO Monte Carlo codes can be found on the Monte Carlino website.