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Dan Holmes

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The principle background for this channel is qq/gg a jet (or two) coming from ... gradient and define islands. Re-scan using finer steps over the islands. ... – PowerPoint PPT presentation

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Title: Dan Holmes


1
Investigations into the physics channels
gg/qq?bbH(???) Dan Holmes, student at Bristol.
2
Overview
  • I looked at 1 and 2 b-jet requirement for each
    of
  • SM qq/gg?bbH(??), MH125 GeV
  • MSSM bbh(??). tanß30, MA144 GeV (Mh127)
  • MSSM bbH(??), tanß30, MA116 GeV (MH128)

b
b
H
gg
?
?
qq
H
b
b
  • Motivation measurement of Yukawa b-H coupling,
    ratio of H-b/H-t etc.., Higgs verification, MSSM
    verification
  • I used CMSJET vers 4.801 with PYTHIA vers 6.205
  • Also Spiras HQQ 1.1 (Hbb production x-sect) and
    HDECAY 3.0 (BR of H???).

3
Background
  • The principle background for this channel is
    qq/gg??? a jet (or two) coming from ISR/FSR
    ..PU etc...
  • Secondary background from qq/gg?qq two gammas,
    either real or faked by pions.
  • treating the two ? from the second background as
    independent, I can put an upper limit on
    background (2) of lt 5 events per 100fb-1 as long
    as bTaggt0 for 2 jet case and gt1 for 1 jet case MH
    windowlt/-3GeV.
  • carry these constraints forward to
    optimisation stage

4
step 1, Find cross sections
eg. for MSSM h case
HQQ
Effective x-sect vs MA. Several values of tanB
from 5 to 30.
HDECAY
So biggest x-sect is 1.20 for MA 144, tanb30
(Mh127.1)
5
I chose the following
...Spira then suggests multiplication by K1.6
for NLO/LO for all three channels.
6
Production
  • I made some events 1 million for each of smH,
    mssmH and mssmh. Pythia?CMSJET
  • I made some background 10.5 million qq/gg??? and
    4 million qq/gg?qq.
  • All included 17.3 superimposed min bias events
    as PU. Limited to recycling a PU sample of 25k
    events due to file size.

7
some pics
  • signal (left) , principal background (right)

..both decay exponentially. The background is
bigger but decays faster.
8
Apply some cuts and then optimise them
  • basic CMS acceptance cuts
  • di-? trigger, Pt ?s gt 40,25.
  • both ? isolated in tracker and ECAL.
  • CMSJET modified UA1 type jet-finder. (cone r0.5)
  • 1 or 2 jets Pt gt 20.
  • FATSIM b-tagging utility. ff-bar back limits
    bTaggt0 for 2-tags, gt1 for 1 tag.
  • Optimisation cuts investigated
  • Pt?1, Pt?2, delta PtGam (Pt?1-Pt?2)
  • Pt Jet1, Pt Jet2, deltaPt Jet (PtJet1-PtJet2)
  • b-tagging efficiency
  • Higgs mass window size
  • Pt H
  • topological cuts ..not so useful, but maybe
    useful for background (2).

9
optimisation procedure
  • Define an optimisation parameter. (following
    slides!) ..some sort of signal significance.
  • Run a scan over the N-d cut space, for each
    combination of cuts return the mean number of
    expected signal and background entries for 100
    fb-1.
  • Follow the significance gradient and define
    islands. Re-scan using finer steps over the
    islands.
  • Return combination of cuts for best
    significance. Ensure the significance gradient
    over the island is smooth otherwise it could be a
    random fluctuation (although big stats really is
    the key to reducing this).

10
The results eg, 1 jet SM Higgs case
acceptance cuts
optimised cuts
..very similar stuff for mssm cases, mssmh has
bigger cross section..
11
statistics aside
  • what is the best optimisation parameter?
  • LEP-type significance
  • ..return in terms of number of Gaussian sigmas
    the chance of the background having fluctuated to
    give a reading above that observation.
  • Several methods to do this quickly
  • ,
    ...

...and it can also be calculated explicitly for
low s,b.
12
statistics aside
...BUT we are doing studies of physics at a
planned experiment. - we have not made an
observation, we just know the mean number of
expected events. If you use the previous test
then it corresponds to a 50 probability. - maybe
a better question to ask is what is the chance
that we will make an n-s discovery? ..maybe we
should talk in terms of this and it use it as an
optimisation parameter??
It can be approximated by or calculated
explicitly when not in the Gaussian limit.
These are just my thoughts, not the official CMS
Higgs group method!
13
Results
  • the high significance regions essentially
    involve finding the point at which the background
    disappears.
  • for such a fine signal optimisation, very (very
    very) accurate knowledge of the background is
    needed, i suspect the PYTHIA approximation is not
    adequate.

14
more recently..
  • ..compHEP (Mikhail Dubinin)
  • 5k evts irreducible back (bb??) 70 fb
  • 50k jetjet?? (light quarks/glu) 60 pb
  • ..i ran it through cmsjet (pythia
    hadronisation)..added PU.

..doesnt look good.. ..but i dont have enough
stats in high significance region to try and do
some optimisation...
20 events from the bb ?? back.
15
next...
  • i will have a look at the background using alpGen
    ..there is a problem at the moment, it will take
    1 week to fix (4 weeks ago).
  • maybe more tuning (loosening!) of jet-finder
    params, isolation ? of etc.. will make some
    difference..? (clutching? ...straws?)
  • dont bank on this being a major CMS channel, but
    maybe the stats questions are worth thinking
    about..
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