TancNote/note/tanc_overview.tex

The Tau Neural Classifier algorithm reconstructs the decay mode of the
tau--candidate and then feeds the tau--candidate to a discriminator associated
to the decay mode to make the classification decision.  Each discriminator
therefore maps to a reconstructed decay mode in a one-to-one fashion.  To
optimize the discrimination for each of the different decay modes, the TaNC uses
an ensemble of neural nets.  Each neural net corresponds to one of the dominant
hadronic decay modes of the tau lepton.  These selected hadronic decays
constitute 95\% of all hadronic tau decays.  Tau--candidates with reconstructed
decay modes not in the set of dominant hadronic modes are immediately tagged as
background.  

Revision:	1.5
Committed:	Wed Apr 28 02:59:29 2010 UTC (15 years ago) by friis
Content type:	application/x-tex
Branch:	MAIN
Changes since 1.4:	+9 -7 lines
Log Message:	Really almost done
#	User	Rev	Content
1	friis	1.3	The Tau Neural Classifier algorithm reconstructs the decay mode of the
2	friis	1.5	tau--candidate and then feeds the tau--candidate to a discriminator associated
3			to the decay mode to make the classification decision. Each discriminator
4			therefore maps to a reconstructed decay mode in a one-to-one fashion. To
5			optimize the discrimination for each of the different decay modes, the TaNC uses
6			an ensemble of neural nets. Each neural net corresponds to one of the dominant
7			hadronic decay modes of the tau lepton. These selected hadronic decays
8			constitute 95\% of all hadronic tau decays. Tau--candidates with reconstructed
9			decay modes not in the set of dominant hadronic modes are immediately tagged as
10			background.
11	friis	1.1