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Vladimir Litvin, Harvey Newman, Sergei Shevchenko

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Performance comparison of single photons with cmsim and OSCAR for the RS-1 ... Calorimeter isolation criteria: For each SC, the energy in a cone of DR = 0.5 ... – PowerPoint PPT presentation

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Title: Vladimir Litvin, Harvey Newman, Sergei Shevchenko


1
RS-1 graviton diphoton decay study Status and
plans
  • Vladimir Litvin, Harvey Newman, Sergei Shevchenko
  • Caltech CMS
  • Jim Branson, Marco Pieri
  • UCSD CMS
  • Marie-Claude Lemaire
  • SACLAY
  • Mikhail Dubinin
  • MSU

2
Outline
  • Performance comparison of single photons with
    cmsim and OSCAR for the RS-1 graviton study
  • Electronics saturation study
  • Signal production request
  • Background production request
  • Plans

3
Status
  • Performance comparison of single photons with
    cmsim and OSCAR for the RS-1 graviton study
  • Resolutions are slightly worse with OSCAR_3_4_0
    ORCA_8_4_0 than with CMSIM133 ORCA_8_1_3 for
    both single photons and Randall-Sundrum Graviton
  • The double peak in eta resolution in endcap is
    understood now - it was a wrong parameter for the
    shower depth in the endcap
  • Need to redo the exercice with OSCAR_3_6_5 and
    ORCA_8_7_1 as they are the official versions for
    theTDR
  • (From M.-C. Lemaire presentation on egamma group
    meeting Jan, 12 http//cmsdoc.cern.ch/Physics/ega
    mma/transparencies/m132-3.pdf)
  • Requested single particle datasets are not ready
    yet

4
Status
  • Electronics saturation study
  • Simple saturation corrections developed for the
    di-electron channel (CMS Note 2004/024) lead to
    promising results for the di-photon channel
  • CTEQ6L LHAPDF vs CTEQ5L was studied
  • Simple Calorimetry and Tracker isolation was
    included
  • Calorimeter isolation criteria For each SC, the
    energy in a cone of DR 0.5 (excluding the SC)
    should be lt 0.02 ET(SC)
  • E(HCAL)/ E(ECAL) lt 0.1
  • Tracker isolation criteria For each track
    associated with a Super-Cluster, required that
    the number of tracks of pTgt2.5 GeV in a cone DR
    0.3 (excluding the matched track) should be 0
  • (From M.-C. Lemaire presentation on BSM meeting
    Jan, 11 http//agenda.cern.ch/askArchive.php?base
    agendacatega05246ida05246s0t112Ftransparenci
    es2Flemaire050111.pdf)
  • Requested single particle datasets are not ready
    yet

5
Status
  • Points of interest for RS-1 Graviton

6
Status
  • Five different sources of background
  • Born (MSEL0, MSUB18)
  • Box (MSEL0, MSUB114)
  • Brem (MSEL0,MSUB14,29,115)
  • QCD (MSEL1)
  • Drell Yan(MSEL0,MSUB1, MSTP 433, MSTJ 41 1)
  • Signal for different masses and coupling
    constants
  • Background will be produced in 5 different mass
    ranges and we are try to keep 50-100 events in
    mass windows in a 3G around each invariant mass
    (G - graviton width).

7
Channel independent datacards
  • MSTP 51 7 ! CTEQ 5L
  • MSTU 21 1 ! Check on possible errors
    during program execution
  • MSTJ 11 3 ! Choice of the fragmentation
    function
  • MSTJ 22 2 ! Decay those unstable
    particles
  • PARJ 71 10. ! for which ctau 10 mm
  • MSTP 2 1 ! which order running alphaS
  • MSTP 330 ! K factor use parametrized by
    PARP(33)
  • MSTP 811 ! multiple parton interactions
    1 is Pythia default
  • MSTP 82 4 ! D1 structure of
    multiple interactions
  • PARP 82 1.9 ! D2.1 regularization
    scale of transverse momentum
  • PARP 84 0.4 ! D0.2 core radius
  • PARP 89 1000. ! D1000 power of the
    energy rescaling term

8
Channel independent datacards
  • PARP 83 0.5
  • PARP 87 0.7
  • PARP 88 0.5
  • PMAS 5,1 4.8
  • PMAS 6,1 175.0
  • PARP 67 1. ! DC04 default
  • PARP 85 0.33 ! DC04 default
  • PARP 86 0.66 ! DC04 default
  • PARP 90 0.16 ! DC04 default
  • PARP 91 1. ! DC04 default

9
Signal
  • We are asking about 1k of events per point and
    10k of events for the (M3500 GeV, c0.1) and
    (M2000 GeV, c0.01) to study angular
    distributions. While the di-electron graviton
    study does require a lot of statistics to be able
    to distinguish RS-1 graviton from Z, it is not
    the case in our study. This is why we need 1k of
    events per point. Meanwhile, we would like to
    study the angular properties of RS-1 diphoton
    decay and this is why we requesting only two
    points with enhanced statistics.
  • 52k of events in total.
  • Very fast to produce, but if it will be needed we
    can produce PYTHIA Ntuples by ourselves and
    submit in official production. Datacards are
    ready and can be submitted at any time.

10
Born
  • Preselection (MSEL0,MSUB18)
  • generate PYTHIA event
  • find all particles with KF111,221,331,223,22,11
    with pT gt 20 GeV and h lt 2.5
  • make all invariant masses and require at least
    one candidate with mass greater than
    CKIN(1)-50GeV
  • Additional datacards
  • CKIN(3) 100.
  • CKIN(1) and CKIN(2) are according to the table on
    the next slide

11
Born background
12
Box
  • Preselection (MSEL0,MSUB114)
  • generate PYTHIA event
  • find all particles with KF111,221,331,223,22,11
    with pT gt 20 GeV and h lt 2.5
  • make all invariant masses and require at least
    one candidate with mass greater than
    CKIN(1)-50GeV
  • Additional datacards
  • CKIN(3) 100.
  • CKIN(1) and CKIN(2) are according to the table on
    the next slide

13
Box background
14
Drell Yan
  • Preselection (MSEL0,MSUB1,MSTP 433)
  • generate PYTHIA event
  • switch off the PYTHIA radiation (MSTJ 41 1)
  • using PHOTOS to produce radiation for the Z boson
  • Additional datacards
  • CKIN(1) and CKIN(2) are according to the table on
    the next slide

15
Drell Yan background
16
QCD and brem backgrounds
  • This is preliminary study for QCD and brem
    background. We shall improve the preselection
    during next couple of weeks using additional
    track isolation on PYTHIA level. Unfortunately we
    cannot use CKIN(1)-50 GeV mass invariant cut here
    because too many events will be lost. We will put
    constant invariant mass cut 550 GeV for every
    dataset (preliminary, will be updated)
  • In this case more than one dataset will deposit
    events into specified mass regions. In a tables
    below you can find a total number of events in a
    mass region from all datasets
  • CMS Internal Note will be prepare to describe the
    preselection routine for this case as well as for
    the Higgs diphoton study

17
Brem
  • Preselection (MSEL0, MSUB14,29,115)
  • generate PYTHIA event
  • find all particles with KF111,221,331,223,22,11
    with pT gt 20 GeV and h lt 2.5
  • make all invariant masses and require at least
    one candidate with mass greater than 550 GeV for
    EACH dataset
  • Additional datacards
  • CKIN(3) 100.
  • CKIN(1) and CKIN(2) are according to the table on
    the next slide

18
Brem background
19
QCD
  • Preselection (MSEL1)
  • generate PYTHIA event
  • find all particles with KF111,221,331,223,22,11
    with E??? gt 150 GeV, E??? gt 100 GeV and h lt 2.5
  • make all invariant masses and require at least
    one candidate with mass greater than 550 GeV for
    EACH dataset
  • Additional datacards
  • CKIN(3) 100.
  • CKIN(1) and CKIN(2) are according to the table on
    the next slide

20
QCD background
21
Plans
  • Submit official requests for the full MC
    simulation and reconstruction of all datasets. To
    improve preselection for brem and QCD by means of
    using loose tracker isolation criteria on PYTHIA
    level. CMS Internal Note will be published.
  • To analyze single particle datasets which will be
    done (hopefully) soon
  • To produce small subsets of our data recently at
    Caltech to check the cuts
  • To simulate the tails of background distributions
    with another generator (MadGraph or CompHEP)
  • To check and tune FAMOS based on fully simulated
    data and to use it ONLY if it will be suitable to
    produce more background. We need very tiny
    fraction of events and it might be done with full
    simulation easily
  • To perform study about possible systematic
    uncertainties
  • difference between two models of multiple
    interactions MSTP 82 1 and MSTP 82 4
  • to use different LHAPDF structure functions to
    understand more deeply this source of systematic
    uncertainty
  • difference between two generators
  • To analyze the whole datasets when they will be
    produced
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