TancNote/note/tanc_overview.tex

The Tau Neural Classifier algorithm reconstructs the decay mode of the
tau--candidate and uses this information to select the discriminant used to
determine whether the tau--candidate should be classified as signal or
background.  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 constitue 95\% of all hadronic tau decays.  Tau--candidates with
other decay modes are immediately tagged as background.  \fixme(when to talk
about lead track req?)


Revision:	1.3
Committed:	Wed Mar 31 01:22:23 2010 UTC (15 years, 1 month ago) by friis
Content type:	application/x-tex
Branch:	MAIN
Changes since 1.2:	+9 -25 lines
Log Message:	Slow but steady
#	User	Rev	Content
1	friis	1.3	The Tau Neural Classifier algorithm reconstructs the decay mode of the
2			tau--candidate and uses this information to select the discriminant used to
3			determine whether the tau--candidate should be classified as signal or
4			background. To optimize the discrimination for each of the different decay
5			modes, the TaNC uses an ensemble of neural nets. Each neural net corresponds to
6			one of the dominant hadronic decay modes of the tau lepton. These selected
7			hadronic decays constitue 95\% of all hadronic tau decays. Tau--candidates with
8			other decay modes are immediately tagged as background. \fixme(when to talk
9			about lead track req?)
10	friis	1.1
11