Dirac Gauginos
From Wiki Les Houches 09
Current revision (14:31, 25 June 2009) (view source) |
|||
(6 intermediate revisions not shown.) | |||
Line 7: | Line 7: | ||
Adam Martin | Adam Martin | ||
- | Tuhin S Roy(tuhin | + | Tuhin S Roy(tuhin.AT.uoregon.edu) |
- | Benjamin Fuks (fuks | + | Benjamin Fuks (fuks.AT.cern.ch) |
- | Patrick Fox (pjfox | + | Patrick Fox (pjfox.AT.fnal.gov) |
Conor Henderson | Conor Henderson | ||
- | + | Graham Kribs | |
+ | Siba Prasad Das | ||
+ | |||
+ | Renaud Bruneliere | ||
+ | |||
+ | |||
+ | |||
+ | |||
+ | '''List of topics is below: | ||
+ | ''' | ||
* '''Monte Carlo implementation:''' cross-check of the current MG/ME and CalcHEP implementations, implementation into FeynRules | * '''Monte Carlo implementation:''' cross-check of the current MG/ME and CalcHEP implementations, implementation into FeynRules | ||
Line 25: | Line 34: | ||
== 1.) low mass point, essentially a Diracified version of the SPSXX points. Attempt to match/maximize the rates. Aim for largest differences between Dirac and Majorana gauginos. | == 1.) low mass point, essentially a Diracified version of the SPSXX points. Attempt to match/maximize the rates. Aim for largest differences between Dirac and Majorana gauginos. | ||
- | (Patrick) | + | (Patrick, Benjamin) |
== 2.) high mass points: using unification to reduce the dimension of the parameter space. | == 2.) high mass points: using unification to reduce the dimension of the parameter space. | ||
- | (Patrick, Tuhin) | + | (Patrick, Tuhin, Benjamin) |
* '''Determining Majorana vs. Dirac character of gauginos:''' | * '''Determining Majorana vs. Dirac character of gauginos:''' | ||
Line 41: | Line 50: | ||
* '''Scalar adjoints (i.e sgluons)''' [http://arxiv.org/abs/0810.3919,"0810.3919"] | * '''Scalar adjoints (i.e sgluons)''' [http://arxiv.org/abs/0810.3919,"0810.3919"] | ||
+ | |||
+ | * '''Looking at the signal into experiments and implementing benchmark points''' | ||
+ | (Renaud for ATLAS) | ||
Feel free to add more ideas. Any questions, email [mailto:adam.martin@yale.edu, "adam.martin@yale.edu"] | Feel free to add more ideas. Any questions, email [mailto:adam.martin@yale.edu, "adam.martin@yale.edu"] | ||
[mailto:tuhin@uoregon.edu, "tuhin@uoregon@yale.edu"] | [mailto:tuhin@uoregon.edu, "tuhin@uoregon@yale.edu"] |
Current revision
DIRAC GAUGINOS:
Please sign your name and email address up to the projects you are interested in.
Adam Martin
Tuhin S Roy(tuhin.AT.uoregon.edu)
Benjamin Fuks (fuks.AT.cern.ch)
Patrick Fox (pjfox.AT.fnal.gov)
Conor Henderson
Graham Kribs
Siba Prasad Das
Renaud Bruneliere
List of topics is below:
- Monte Carlo implementation: cross-check of the current MG/ME and CalcHEP implementations, implementation into FeynRules
(Adam, Tuhin, Claude, Benjamin, Patrick)
- Benchmarks:
== 1.) low mass point, essentially a Diracified version of the SPSXX points. Attempt to match/maximize the rates. Aim for largest differences between Dirac and Majorana gauginos.
(Patrick, Benjamin)
== 2.) high mass points: using unification to reduce the dimension of the parameter space.
(Patrick, Tuhin, Benjamin)
- Determining Majorana vs. Dirac character of gauginos:
Possible techniques/ideas can be found in "0808.2410" and "0811.4445"
- Dirac gauginos and chargino NLSPs: "0807.4936"
(Adam, Tuhin)
- Scalar adjoints (i.e sgluons) "0810.3919"
- Looking at the signal into experiments and implementing benchmark points
(Renaud for ATLAS)
Feel free to add more ideas. Any questions, email "adam.martin@yale.edu" "tuhin@uoregon@yale.edu"