Wrong cross-sections for Monotop model in Madgraph 5 version 1.5.5
Hello,
I am currently working on the Monotop effective theory which has been implemented in Feynrules: http://
As a first step of my analysis, I am trying to reproduce the results given in that page, in particular the total cross-sections obtained for the 5 scenarios for LHC pp collisions.
I noticed that the 5 .lhe files give all the needed Cards, so for each scenario I retrived the parameters in the param_card and I use the given proc_card to edit mine.
To obtain the total cross-section, I drop all cuts in the run_card, and I do not specify the t quark decay channel in proc_card.
My problem is that I do not obtain the same cross-section values as the ones given in the model wiki page for scenario 1 and 2, which are the cases in which a resonance is produced.
For Scenario 1, my value is 5.308e-09 pb while it should be 5.521 pb (so 9 orders of magnitude less).
For Scenario 2, my value is 5.596 pb while it should be 56.14 pb (so 1 order of magnitude less).
In these 2 cases there is a warning saying that some sub-processes do not have available phase-space; I have carefully checked the mass spectrum and it matches exactly with the parameters given in the .lhe files from the wiki page.
For Scenario 3, my value is 0.9052 pb which matches the value of 0.903 pb given in the wiki page.
For Scenario 4, my value is 148.1 pb which matches the value of 148.6 pb given in the wiki page.
In these 2 scenarios no heavy resonance is produced.
Last, for Scenario 5, my value is 6.009e-07 pb while it should be 1.514e-04. In this case a heavy resonance is produced.
The problem may be due to the different Madgraph versions: the .lhe files given in the twiki were generated with version 1.3.1 of Madgraph 5 while I use the latest 1.5.5.
For instance, in the run_card I have let the default vaules for the parameters "auto_ptj_mjj" (F) "cut_decays" (T) and "nhel" (0) which were apparently not asked for in Madgraph 5 1.3.1's run_card files.
So, I am a bit puzzled. The fact that I have the same results for scenarii 3 and 4 tends to make me thinks that the implementation of the model is ok, but that some additional parameters are needed for the perhaps more exotic Scenarii 1,2 and 3.
Thanks in advance for your help!
Cheers,
Timothée
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