19 pidfit(
std::numeric_limits<
float>::signaling_NaN()),
20 pidexp(
std::numeric_limits<
float>::signaling_NaN()),
21 pidexpfit(
std::numeric_limits<
float>::signaling_NaN()),
22 meany(
std::numeric_limits<
float>::signaling_NaN()),
23 meanyfit(
std::numeric_limits<
float>::signaling_NaN()),
24 meanyexp(
std::numeric_limits<
float>::signaling_NaN()),
25 meanysig(
std::numeric_limits<
float>::signaling_NaN()),
26 meanysigexp(
std::numeric_limits<
float>::signaling_NaN()),
27 meanqfrac(
std::numeric_limits<
float>::signaling_NaN()),
28 meanqfracfit(
std::numeric_limits<
float>::signaling_NaN()),
29 meanqfracexp(
std::numeric_limits<
float>::signaling_NaN()),
30 meanqfracsig(
std::numeric_limits<
float>::signaling_NaN()),
31 meanqfracsigexp(
std::numeric_limits<
float>::signaling_NaN()),
32 meanqfracbkg(
std::numeric_limits<
float>::signaling_NaN()),
33 meanqfracbkgexp(
std::numeric_limits<
float>::signaling_NaN()),
34 energydiff(
std::numeric_limits<
float>::signaling_NaN()),
35 energydiffexp(
std::numeric_limits<
float>::signaling_NaN()),
36 enrichfrac(
std::numeric_limits<
float>::signaling_NaN()),
37 enrichfracexp(
std::numeric_limits<
float>::signaling_NaN()),
38 fannid(
std::numeric_limits<
float>::signaling_NaN()),
39 fannidenrich(
std::numeric_limits<
float>::signaling_NaN()),
40 chisig(
std::numeric_limits<
float>::signaling_NaN()),
41 chibkg(
std::numeric_limits<
float>::signaling_NaN()),
42 chisigexp(
std::numeric_limits<
float>::signaling_NaN()),
43 chibkgexp(
std::numeric_limits<
float>::signaling_NaN()),
44 avginvE(
std::numeric_limits<
float>::signaling_NaN()),
45 avgexpE(
std::numeric_limits<
float>::signaling_NaN()),
46 avgsigE(
std::numeric_limits<
float>::signaling_NaN()),
47 tmvabdtg(
std::numeric_limits<
float>::signaling_NaN()),
48 tmvabdt(
std::numeric_limits<
float>::signaling_NaN()),
49 tmvabdtd(
std::numeric_limits<
float>::signaling_NaN()),
50 tmvabdtmf(
std::numeric_limits<
float>::signaling_NaN()),
51 tmvamlp(
std::numeric_limits<
float>::signaling_NaN()),
52 dectree(
std::numeric_limits<
float>::signaling_NaN())
float meanyexp
Hadronic y of matches, "exp".
float pid
The default PID value - normally use this one.
float tmvabdtmf
TMVA boosted decision tree, Fisher discriminant.
float tmvabdt
TMVA boosted decision tree, adaptive boost.
float energydiffexp
Pot. diff between sig and bkg matches, "exp".
float meanyfit
Hadronic y of matches, "fit".
float meanqfracbkg
Mean fraction matched in background matches.
float enrichfrac
Fraction of matches that are "enriched".
float chibkgexp
chisq of a fit assuming best match is bkg, "exp"
float tmvabdtd
TMVA boosted decision tree, decorrelation.
float meanqfracbkgexp
Fraction matched in background matches, "exp".
float meanqfracfit
Fraction of charge matched, "fit".
float meanysig
Mean hadronic y of matches that are signal.
float fannid
ANN output, "fann" package.
float meanqfracsig
Fraction matched in signal matches.
float pidexp
Fraction of matches that are signal, "exp".
float energydiff
Potential diff between sig and bkg matches.
float meanqfracsigexp
Fraction matched in signal matches "exp".
float avgsigE
Fraction of signal matches, sigmoid weighting.
float chisig
chi-square of a fit assuming best match is signal
float meanysigexp
Hadronic y of matches that are signal, "exp".
float enrichfracexp
Fraction of matches that are "enriched", "exp".
float avgexpE
Fraction of signal matches, "exp" weighting.
float meanqfracexp
Fraction of charge matched, "exp".
float fannidenrich
ANN output, including enrichfracexp.
float pidexpfit
Fraction of matches that are signal, "expfit".
float meany
Mean hadronic y of matches.
float tmvamlp
TMVA ANN ("multi layer perceptron")
This module creates Common Analysis Files.
float meanqfrac
Mean fraction of charge matched.
float avginvE
Fraction of signal matches, 1/E weighting.
float chisigexp
chisq of a fit assuming best match is signal, "exp"
float pidfit
Fraction of matches that are signal, "fit".
float chibkg
chisq of a fit assuming best match is background
float dectree
Decision tree PID.
float tmvabdtg
TMVA boosted decision tree, gradient boost.