Line: 1 to 1 | ||||||||
---|---|---|---|---|---|---|---|---|
Jet Flavour Tagging Howto | ||||||||
Line: 138 to 138 | ||||||||
/afs/phas.gla.ac.uk/data/ilc/datasets01/1.4tev/qq/ILD/DST/00002091/000/ | ||||||||
Changed: | ||||||||
< < | We had to run processors 1-7 on these files to identify jets and calculate the discriminating parameters. For this, we used slightly modified version of the scripts, which can be found here. The resulting outputs, containing approximately 25k events, are stored in /afs/phas.gla.ac.uk/data/ilc/datasets01/1.4tev/ZVRES_out/ as well. | |||||||
> > | We had to run processors 1-7 on these files to identify jets and calculate the discriminating parameters. For this, we used slightly modified versions of the scripts, which can be found here. The resulting outputs, containing approximately 25k events, are stored in /afs/phas.gla.ac.uk/data/ilc/datasets01/1.4tev/ZVRES_out/ as well. | |||||||
![]() Training the neural nets with eeqq background added | ||||||||
Changed: | ||||||||
< < | We can train another set of neural nets but adding this time eeqq background to the input. The resulting neural nets (25k signal + 25k background) are here: bnets.tgz. | |||||||
> > | We have trained another set of neural nets but adding this time eeqq background to the input. The resulting neural nets (25k signal + 25k background) are here: bnets.tgz. | |||||||
Added: | ||||||||
> > | ![]() | |||||||
Useful Links | ||||||||
Line: 168 to 170 | ||||||||
| ||||||||
Changed: | ||||||||
< < |
| |||||||
> > |
| |||||||
|