13 | | In this case the events will be first generated and unweighted in presence of this biasing weight. MG5aMC will then reweight these unweighted events by their corresponding bias weight, so as to restore the original physical distributions. |
14 | | The resulting events made available to the user will therefore be weighted in this case, and distributed in a manner that enhances the statistics in the desired region of phase-space. |
| 13 | In this case the events will be first generated and unweighted in presence of this biasing weight. MG5aMC will then '''reweight''' these unweighted events by their corresponding bias weight, so as to restore the original physical distributions. |
| 14 | The resulting events made available to the user will therefore be '''weighted''' in this case, and distributed in a manner that enhances the statistics in the desired region of phase-space. |