Higgs to Gamma Gamma

5 week plan:

0) Classify all available samples, with the analyzers used and datacards used

if private production.

Target: Today (mainly done).

1) Use stable version of the MPA analyzer to finish running on

all available MC and data (including MADGRAPH, etc.)

Store on castor and make available to other H2gamma people.

Timeline: 10/25. Report on progress at the next H2gamma

meeting.

2) Run on the samples using the recent recommended photon

ID. Compare with data. Help from Yong to cross-check ?

Target for first iteration: next Monday QCD photons meeting (10/28).

3) First-order check of the significance for cuts and categories.

Update of the stat. methods used.

Timeline: 11/02.

4) Optimization of the cut and categories (if needed). Understanding

the effects of calibration precision. Looking at VBF like events in

data.

Timeline: 11/09.

5) MVA (SRP) reach: assuming Fall10 MC is ready.

Study of systematic effects. 0,1,2 jets categories.

Timeline: 11/16

6) Effects of pileup, vertex reconstruction. Help from Yong ?

7) Resolution studies: help from Vladlen and all ?

Previous Results

MC Datasets

Analyzer

•Spring 10 samples, most analyzed with MPA already (back ported to 357 version)

t3-higgs:/raid1/yma/MPAfiles

•MPA code is maintained by Yousi, and a few others from QCD photons group

•Will replace Dijets sample with EM-enriched in the next 3 days

• https://cmsweb.cern.ch/phedex/prod/Data::Subscriptions?reqfilter=178565;node=28
• https://cmsweb.cern.ch/phedex/prod/Data::Subscriptions?reqfilter=178566;node=28

Links

• http://indico.cern.ch/getFile.py/access?contribId=4&resId=1&materialId=slides&confId=106737 (fermiophobic from september)

• http://indico.cern.ch/getFile.py/access?contribId=1&resId=1&materialId=slides&confId=46669 (last SPR version)

• http://indico.cern.ch/getFile.py/access?contribId=3&resId=1&materialId=slides&confId=91169 (gamma gamma skim, data rates expected)

• http://indico.cern.ch/getFile.py/access?contribId=5&resId=1&materialId=slides&confId=87423 (more on skimming rates)

• http://indico.cern.ch/getFile.py/access?contribId=1&resId=1&materialId=slides&confId=94403 (diphotons in data)

-- Main.dkcira - 2010-10-18