Problem in showering with e p collider
Hi,
I am using a model SM_HeavyN_NLO from feynrules model data base. I am trying to shower the process
e- p > j n1, (n1 > l- j j) using pythia8 switch on. I generated 10,000 no of events, but pythi8 is only generating around 4,000 events after showering. I also tried external pythia8230 package with unweighted_
*------- PYTHIA Event and Cross Section Statistics -------
| |
| Subprocess Code | Number of events | sigma +- delta |
| | Tried Selected Accepted | (estimated) (mb) |
| | | |
|-----
| | | |
| Les Houches User Process(es) 9999 | 2500 2500 1076 | 2.780e-07 3.162e-09 |
| ... whereof user classification code 1 | 2500 2500 1076 | |
| | | |
| sum | 2500 2500 1076 | 2.780e-07 3.162e-09 |
| |
*------- End PYTHIA Event and Cross Section Statistics -------
*------- PYTHIA Error and Warning Messages Statistics -------
| |
| times message |
| |
| 1424 Abort from Pythia::next: parton+hadronLevel failed; giving up |
| 14240 Error in Pythia::next: partonLevel failed; try again |
| 1 Error in RopeFragPars::init: failed to insert defaults. |
| 2 Info from SLHAinterface:
| 2 Info from SLHAinterface:
| 2 Warning in SLHAinterface:
| 2 Warning in SLHAinterface:
| 6 Warning in SLHAinterface:
| 2 Warning in SLHAinterface:
| 2 Warning in SLHAinterface:
| 142400 Warning in SpaceShower:
| 3 Warning in SpaceShower:
| |
*------- End PYTHIA Error and Warning Messages Statistics -------
Contribution of sample 0 to the inclusive cross section : 2.77771552e-07 +- 8.46801522e-09
Inclusive cross section: 2.77771552e-07 +- 8.46801522e-09 mb
Thanks,
Sanjoy Mandal
The institute of Mathematical Sciences
Chennai, India
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