p17 ZH (mumu bb) Status

Status

Still missing taggability

It's almost there...

Parameterizations are available

And CAFe tool to make your own parameterization is almost done

Code to read parameterization in CAFe and apply to MC jets is done... but I can't get it working now (I get crashes)... this used to work, so I'm baffled

All should be resolved for p18.08.00

For now, deal with lack of taggability by

requiring is_taggable for jets in MC (when using TRFs) (thus we're only missing a data/MC scale factor)

applying a re-weighting of the inv. mass spectrum between untagged data/MC

Still no QCD background estimation

Stole systematics from p14 analysis

Calculated Higgs mass search windows (-1,+2 sigma)

Calculated exp. and obs. Bayesian limits

Have student working on NN selection (not for ICHEP result)

Working on analysis note

Still hopeful for June 21 deadline

Di-jet Mass (2 b-tags)

Data

Total background

Corrected background

Z->mumu+Xlp

Z->mumu+2b+Xlp

Z->mumu+2c+Xlp

ttbar->2l+bb

ZZ

WZ

ZH->mumubb

Windows and limits

Need to multiple by
1/(Z->mumu BR)=~30

to compare p17/p14

Results are consistent with:

2x efficiency (tagging? jet pT>15?)

3x integrated luminosity

Exp. limits have improved by factor

of ~2.3 ~ sqrt(6) ... -> consistent!

p17 analysis is unoptimized still.

0.045 0.051 0.054 0.060 0.063

0.29 0.30 0.37 0.43 0.51

p17

p14

NN selection

Main backgrounds are

Z+jets (including heavy flavor jets)

Somewhat different process than HZ

Kinematics of jets and Z not the same

tt->mumubb+MET

Clearly different

Main weapon is MET

ZZ?

m_jj=Z

scalar vs. vector?

background is small compared to others... worry about it later

Made rootuples of signal, backgrounds, and data for:

mZ, Z-dR, Z-pT

Jet pt1,pt2,eta1,eta2,dphi,deta,dR,Mjj

Other jet properties that may affect resolution

MET

NN selection variables

pT_Z

dR_Z

m_Z

NN selection variables

pt1

pt2

NN selection variables

mET

m_jj

NN selection variables

eta1

eta2

NN selection variables

d_eta

dR

NN output

Significance improves by factor ~1.25
with optimal cut of 0.85

Simple 5 variable network (pt1,pt2,ZdR,met,drjj)

Andy Haas

2004-07-07T15:59:13

Andrew Haas