20 | | In specific cases the granularity could be increased, ''e.g.'', if you know beforehand that you will produce a lot of events. In this example, where the total number of events will be a million, the uncertainty will be sqrt(10^6){{{ |
21 | | 1000. Hence the granularity could have been set to 1000 as this will generate at least 1000 events for each channel. Hence you'll never be off by more than 1000 events. (The value for the granularity can be set by passing it as the 3rd argument when executing the |
22 | | }}}./run.sh= script). However, this should be used with great care, because in the case where not all the gridpack jobs can be retrieved, or if only a subset of the total number of events is analyzed, you are making an error. It is therefore '''highly recommended to not touch the default value for the granularity''' at leave the 3rd argument of the =./run.sh= script empty. |
| 20 | In specific cases the granularity could be increased, ''e.g.'', if you know beforehand that you will produce a lot of events. In this example, where the total number of events will be a million, the uncertainty will be $\sqrt{10^6}=1000$. Hence the granularity could have been set to 1000 as this will generate at least 1000 events for each channel. Hence you'll never be off by more than 1000 events. (The value for the granularity can be set by passing it as the 3rd argument when executing the {{{./run.sh}}} script). However, this should be used with great care, because in the case where not all the gridpack jobs can be retrieved, or if only a subset of the total number of events is analyzed, you are making an error. It is therefore '''highly recommended to not touch the default value for the granularity''' at leave the 3rd argument of the =./run.sh= script empty. |