CDF at IFAE 1 year later Mario Martinez

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CDF at IFAE (1 year later) Mario Martinez

• IFAE Seminar, 23rd September 2004

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Fermilab
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Tevatron

• proton-antiproton collisions
• Main injector
• (150 GeV proton storage ring)
• antiproton recycler (commissioning)
• Electron cooling this year
• Operational on June05
• 40 increase in Luminosity
• 36 bunches (396 ns crossing time)

Long Term Luminosity Projection (by end FY2009)
Base Goal -gt 4.4 fb-1 Design -gt 8.5 fb-1
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Tevatron Performance
Tevatron has reached the projected Lumi ? 1.1
x 1032 !!
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CDF Detector

• Upgraded Muon Detectors
• New TOF Detector
• New Plug Calorimeters
• New Drift Chamber
• New Silicon Tracking

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CDF Run II Data
CDF Efficiency gt 80 DAQ runs with 5 to
10 dead time Rest coming from very careful
operation of detectors HV due to machine
losses (to preserve silicon trackers)
CDF -gt 500 pb-1 on tape
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CDF _at_ IFAE

• IFAE Goals at CDF
• Thesis for students with physics data
• Training on Hadron Collider Physics before the
  LHC
• Maximize profit from CDF lessons/experience
• Be prepared for the unexpected

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IFAE-CDF Personnel
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IFAE-CDF Commitments
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IFAE-CDF Commitments

• IFAE group is leading the data quality monitoring
  effort in CDF and acts as Data Quality Manager
  (DQM)
• IFAE defines global DQM Automated Systems to
  characterize the quality of the data with
  emphasis on the quantities relevant for physics
  analyses
• Online Offline DQM Automated Expert Systems
• Maintenance of Good Run Lists (DQM OnlineOffline
  diagnosis)
• WWW documentation Statistics
• IFAE is responsible of DQM Operation
• Regular Reports to CDF
• Online Support to Shift Crew operations (DQM
  Pager)
• IFAE charges responsibilities are formally
  established in a MoU signed together with CDF and
  FNAL Directorate

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DQM Online Project for CDF
Online Monitors (C based) produce online
histograms to monitor the basic performance of
the different sub-systems (occupancy levels,
HVs)
dead channel
Expert System runs _at_ CDF control room
Monitors online histograms status of
Consumers, HVs and Tevatron Beams Alerts
shift-crew in case of problems -gt Determines
Online Good Run Status
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DQM Offline Project for CDF
Latest calibrations and alignments are used to
reconstruct high-level objects (electrons,.
photons, jets, J/Y...) as they are employed in
final physics analyses A number of critical
quantities are selected, enough for DQM
diagnosis (DQM workshop on Nov03 decided list)
The DQM expert system implements the logic to
automatically analyze the critical histograms and
evaluate their quality
position width
signal vs background
The errors detected (either due to raw detector
quantities or caused by offline reconstruction
codes) are promptly reported to detector experts
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DQM Offline
jets
MB
high pt m
g
low pt ele
express
low pt m
J/Y
Fully automatic generation of histograms and
diagnosis.
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Validation Good Run Lists for CDF
DQM Offline system also participates in
intensive Offline Validation Efforts carried out
each time a new version of official analysis
code is compiled DQM is part of check-list for
the CDF offline shifter (who monitors the data
flow during farm data processing) DQM
decisions (Online Offline) are combined to
produce the CDF official lists of good runs
for physics IFAE has the responsibility to
centralize update data quality decisions and
produce good run lists for the whole CDF
Collaboration
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Status of DQM Project (4 FTEs _at_
FNAL, May 2003 August 2004)

• DQM Online
• First version operational _at_ 80
• Commissioning cohabitation phase with CDF
  shift-crew ongoing
• Aims to replace 24hr shift-
• operator in the future

• DQM Offline
• Expert System _at_ 80
• System now fully automatic and
• already used to validate
• offline reconstruction software
• New versions of good run lists
• regularly delivered to CDF

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Detector and Computing Operations Head Rob
Roser Deputy Head Carl Bromberg Deputy Head Rick
Snider
CDF Operations Organization Chat
Trigger Dataset Working Group Kirsten
Tollefson Kevin Pitts
Safety Coordinator Dee Hahn
Admin. Support Nancy Michael
Associate Head, Detector Infrastructure Stefano
Moccia - Steve Hahn
Associate Head, Detector Subsystems Camille
Ginsburg
Associate Head, Computer Infrastructure Frank
Wuerthwein
Associate Head, Detector Operations Masa Tanaka

Operations Manager J.J. Schmidt Mary Convery Rob
Harr
Data Handling Rob Kennedy Rick St. Denis
Process Systems Bill Noe(Leader) Dean
Becker Warren Bowman Cutchlow Cahill Steve
Gordon Jim Humbert Jim Loskot Bruce Vollmer
Trigger L1/L2 Cheng Ju Lin Roberto Carosi
Silicon Will. Trischuk Rainer Wallny
Farms Steve Wolbers
Online Database William Badgett
COT David Ambrose Morris Binkley Aseet Muhkerjee

Daily/Weekly Ops Shift Crews Sci-Co Aces(2) Co
TOF Gerry Bauer Mathew Jones
CAF Mark Neubauer
Muons Guram Chlachidze Phil Schlabach

Electrical and Mechanical Dervin
Allen(Leader) Roberto Davila Lew Morris Wayne
Walden George Wyatt
DAQ Frank Chlebana William Badgett
Data Bases Dmitry Litvintsev Petar Maximovic
Calibrations
CLC Jaco Konigsberg Sasha Suhkanov
Level 3 Gilles Lentdecker G. Gomez-Ceballos
Interactive Computing Robert Harris

Slow Controls Steve Hahn(Leader) JJ Schmidt JC Yun
Monitoring/Valid Kaori Maeshima
Radiation Monitoring Rick Tesarek
CSL T. Vaiciulis
Calorimeter Larry Nodulman Willis Sakumoto
Forward Koji Terashi
DQM Mario Martinez-Perez
Building Manager Craig Olson
SPL Box defined for DQM
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Spokespeople Luciano Ristori Young-Kee Kim
Executive Board
Trigger DataSet Working Group Chair K Tollefson,
K.Pitts
CDF Organization Chat
Detector and Computing operations Head R
Roser Dep. Head C Bromberg Dep. Head R. Snider
Physics Coordinator T. Liss
Run 2B Project (P. Lukens, Proj. Mgr.) D.
Benjamin (Deputy) Project Office D. Knapp, T.J.
Sarlina
Offline Analysis Head 1 L.Sexton Head 2
F.Wuerthwein
Muons V. Martin L. Cerrito
B/C Physics M. Shapiro C. Paus
Detector Subsystems Assoc. Head C. Ginburg
Computing Infrastructure Assoc. Head F.
Wuerthwein
Silicon N. Bacchetta B. Flaugher
Tracking M. Herndon C. Hays
Electroweak A. Kotwal P. Murat
Calorimetry S. Kuhlmann
Silicon
Interactive Comp. R.Harris
Electrons, jets, calor B. Heinneman B. Wagner
Exotics S. Lammel S. Worm
COT
Data Handling R.Kennedy, R.StDenis
DAQ/Bandwidth
TOF
CAF M.Neubauer
Calorimeter
QCD R. Field M. Martinez
TOF R. Snider
Data Base D.Litvintsev, P.Maximovic
Muon
DAQ
Simulation A. Kotwal M. Paulini A.Warburton
Top P. Azzi J. Konigsberg
Farms S.Wolbers
Trigger
CLC
Detector Operations Assoc. Head K. Maeshima
Offline Operations Assoc. Head P. Murat
Speakers Committee Chair F. Bedeschi
DataBase
Validation data R. Snihur M. Martinez
Monitors
Prod. Coord.
Ops Managers
Forward
Offline Shifters
Statistics Committee Chair L. Lyons
Daily/Weekly ops Shift Crews- SciCo, CO, Aces(2)
DQM
Code management Releases A. Kreymer
Detector Infrastructure Assoc. Head S. Moccia
Web Development NA
Calibrations
Infrastructure L. Sexton-Kennedy
Process Systems
Electrical Mechanical
Godparents
Slow controls
Online, Offline Physics Coord. responsibilities
Building Manager
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IFAE-CDF Physics Program
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IFAE-CDF Physics Program

• The IFAE Group has defined a research program
  initially based on the study of events with jets
  in the final state and multi-jet events with
  large missing transverse energy
• Inclusive Jet Production and Quark Compositeness
• Search for Gluinos and Squarks
• Extra Dimensions KK resonance states
• ? some of the first analyses that will be done
  at the LHC
• IFAE already deeply involved in CDF physics
  analyses
• 1 Poster for DOE Annual Review (FNAL, March)
• 3 Talks at CDF Collaboration Meeting (FNAL,
  April/August)
• 2 Talks at APS Conference (Denver, May)
• 1 Talk at Hadron Collider Physics 2004 (Madison,
  June )
• 1 Plenary Talk at Physics in Collision 2004
  (Boston, June)
• 1 PRD paper about to be submitted

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Structure of Matter Jets
The Tevatron Collider at Fermilab explores very
small distances . using jets
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Jets _at_ Tevatron
Dijet Mass 1364 GeV (probing distance 10-19 m)
ET 666 GeV h 0.43
f
h
ET 633 GeV h -0.19
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Jet algorithms physics

• Final state partons are revealed through
  collimated flows of hadrons called jets
• Measurements are performed at hadron level
  theory is parton level (hadron ? parton
  transition will depend on model for gluon shower
  and fragmentation)
• Precise jet search algorithms necessary to
  compare with theory and to define hard physics
  (cone in h f space ?)

f
h
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Run I Results
Observed deviation in tail .. was this a sign
of new physics ?
Run I data compared to pQCD NLO
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gluon density at high-x
Important gluon-gluon and gluon-quark
contributions at high-
Gluon pdf at high-x not well known room for SM
explanation.
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Run I Jet Cross Section vs h
NLO QCD (JETRAD, CTEQ4M)
CTEQ5/CTEQ6
Measurements in the forward region allow to
constrain the gluon distribution
Big uncertainty still remains for high-x gluons
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Notes on Run I Jet algorithm
Cone algorithm not infrared safe
The jet multiplicity changed after emission of
a soft parton
Cone algorithm not collinear safe
Replacing a massless parton by the sum of two
collinear particles the jet multiplicity changes
Fixed-order pQCD calculations will contain not
fully cancelled infrared divergences
-gt Inclusive jet cross section at NNLO -gt Three
jet production at NLO -gt Jet Shapes at NLO
three partons inside a cone
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Cone-based algorithm Issues

• Cone-based algorithms can be modified to be
  infrared/collinear safe ? MidPoint
• Cone-based jet algorithms include an
  experimental prescription to resolve
  situations with overlapping cones
• This is emulated in pQCD theoretical
  calculations by an arbitrary increase of the
  cone size R ? R R 1.3 ?

Physically is much more natural to separate jets
according to their relative transverse momentum
Kt algorithm preferred by theory
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Jet Production with KT

• Inclusive KT algorithm
• Infrared/collinear safe
• No merging / splitting

• Th. errors dominated by gluon PDF
• Data errors dominated by E-scale
• High-Pt tail to be watched closely.
• (if persists could indicate quark compositeness)

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KT jets vs D
D0.5
D0.7
D1.0
As D increases data departs from pQCD NLO ? more
soft contributions
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x2 statistics ? 258 pb-1
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Underlying Event Jet Physics
A typical Tevatron dijet event consists of

• hard interaction gluon shower
• initial soft gluon radiation
• interaction between remnants

cone
Underlying Event contribution must be removed
from the jets before comparing to NLO QCD
predictions
Precise jet measurements require good modeling of
the underlying event
Precise measurements on jet internal structure
will help.
Between pQCD and non-pQCD physics
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Studies on Jet Fragmentation

• Jet shape dictated by multi-gluon emission form
  primary parton
• Test of parton shower models and their
  implementations
• Sensitive to quark/gluon final state mixture and
  run of strong coupling
• Sensitive to underlying event structure in the
  final state

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Jet shapes
Jet shapes sensitive to the relative amount of
quark- and gluon-jets in the final state and the
running of strong coupling
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Jet shapes

• PYTHIA Tune A ? describes data
• (enhanced ISR MI tuning)
• PYTHIA default too narrow
• PYTHIA default (w/wo MI) similar
• HERWIG too narrow at low Pt

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IFAE _at_ FNAL TODAYhttp//www.fnal.gov/pub/today/ar
chive_2004/today04-07-01.html
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Plans Publications

• Jet Shape measurements constitute a PRD now in
  the latest state of review and about to be
  submitted for publication
• We plan to publish a PRL with the inclusive jet
  cross section by winter/spring 05
• Use all 2002 2004 statistics
• Understand Parton ? Hadron corrections
• Reduce systematic errors (jet e-scale .)
• Study quark compositeness
• Olgas Thesis by the end of 2005
• (will include also measurements at large
  rapidities ? to constrain the gluon distribution
  at high-x)

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IFAE-CDF Exotic Program
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Search for Squarks Gluinos
X. Portells Thesis
MSSM Spectrum
Multi-jets Large Missing Et signal (R-parity
conserved ? Neutralino is LSP)

• SM Backgrounds
• QCD
• Z? nn 3 jets
• W? e n 2/3 jets
• W? t n 2 jets
• Top

Big ss
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Run I Results
Best limits on squark/gluino masses came from
this channel.
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Notes on Run I Analysis
MET distribution shows beam-related backgrounds
that must be removed first (huge reduction
factor involved)
Run 1
Bosonn jets
Only LO predictions for Z/W jet(s) SM processes
? huge scale dependence
..ALPGEN,COMPHEP,GR_at_PPA,MADGRAPH,MCFM
Run 1
Precise measurement of Z? ee jet(s) is mandatory
to normalize backgrounds and validate MC event
topologies
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First Stepsin Run II

• MET f distribution dominated by beam-related
  backgrounds and defects in the CAL calibrations
• Now we understand the features and after some
  minimum cuts things look better (but not
  perfect)
• Vertex
• At least two jets
• MET gt 45 GeV
• additional cuts under study

CDF
almost there..
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Extra Dimensions
O. Saltos Thesis
d?/dM (pb/GeV)
Randall-Sundrum ED Model
K/MPl
1 0.7 0.5 0.3 0.2 0.1
Tevatron 700 GeV KK graviton
Excited graviton (spin-2 KK resonance)
M (GeV)
Mono-jet MET Signal
G
Z? ee
jet
Z? nn jet irreducible background
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IFAE-CDF Computing
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IFAE-CDF Computing

• IFAE already well involved on Physics
• Keeping leadership requires adequate CPU
  capabilities (huge MC data
  samples, NLO programsetc)
• Needed to open new lines of physics research
• We need to have CDF _at_ HOME during CDF? ATLAS
  transition
• Following example from other CDF institutions, we
  started building a DCAF (Decentralized CDF
  Analysis Farm) for IFAE using the infrastructure
  available at PIC (Spanish GRID Tier1)
• A. Pacheco spent last summer at FNAL and BCN
  DCAF is already working (IFAE personnel at BCN
  use it now)
• We are in the process of hiring a Techn. in
  Informatics
• BCN DCAF is growing (we bought more disks and
  CPUs)
• We copy the relevant DATA and MC datasets to BCN
  

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BCN DCAF
It works ! (open to other CDF users)
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and when we thought we were too busy
IFAE-CDF
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May 30th - June 3rd 2005CDF Collab. Meeting in
BCN
First time CDF will meet outside USA..
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Conclusions
Well I guess now we are really busy but we
are doing well. so.come to Chicago and work
with us..!!

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