Monitoring muons physics 2 top di boson susy dark matter
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Monitoring Muons; Physics 2: top,di-boson,SUSY,Dark Matter. Melissa Franklin DOE Review 2009. Muon Data Quality Monitoring: Harvard contributions. Moed, Kagan,Guimaraes,Belloni, Martinez, Prasad started the muon monitoring project at ATLAS from Harvard.

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Monitoring Muons; Physics 2: top,di-boson,SUSY,Dark Matter

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Monitoring muons physics 2 top di boson susy dark matter

Monitoring Muons; Physics 2:top,di-boson,SUSY,Dark Matter

Melissa Franklin

DOE Review 2009


Muon data quality monitoring harvard contributions

Muon Data Quality Monitoring: Harvard contributions

  • Moed, Kagan,Guimaraes,Belloni, Martinez, Prasad started the muon monitoring project at ATLAS from Harvard.

  • Moed and Kagan wrote the code in the DQMF framework to monitor all muon chambers(MDT,RPC,TGC) at Level1 and Level 2 based on Gnam histograms, make decisions as to which chambers are not working properly etc. and write displays to show what is working or what is not.

  • Continually updated DQMF framework with new releases

  • And established an input/output connection to the database

  • Belloni, Martinez, Prasad, Guimaraes became muon detector, readout and offline monitoring experts. They also became the experts who taught others to run shifts.

  • Key participants in the muon run analysis task force

M.Franklin - DOE Site Visit


New old monitoring effort

New/old monitoring effort

Most online monitoring of raw data using DQMF

MUON

  • Continuously sampling data from the RODS (Level 1)

  • Gnam application also running on Calibration stream (Level 2) but we are not looking yet

M.Franklin - DOE Site Visit


Monitoring tasks accomplished

Monitoring tasks accomplished

  • Experts in Muon Online Data Quality Monitoring since 2007 -- Maintained at least 1 expert at CERN since project began (Shulamit Moed and/or Michael Kagan) -- Experts in all data quality tools available for MDT shifter-- Responsible for MDT DQMF online monitoring sw infrastructure-- We define and develop the DQMF structure for MDTs (~7000 histograms monitored)-- We develop additional automated tools and algorithms to study MDT online data with DQMF-- Use these tools to determining the quality of the data, and identify/study problems in real time -- Responsible for defining how MDT data should be monitored online, how the tools can best asses data quality, and how to interface the tools best with the MDT shifterハ -- Helped develop DQMF online monitoring infrastructure for RPC and TGC -- Currently help all Muon sub systems maintain and develop tools for DQMF online monitoring-- Responsible for training MDT shifters in Data Quality monitoring -- Hold the メMuon data quality toolsモ session during Muon shifter training sessions Status and Developmentsハ -- Spent a great deal of time studying the data and understanding the problems, and tuning our monitoring structure, algorithms and error thresholds -- When we began, system was in chaotic state, difficult to understand data, and difficult to define tests to properly identify problems (many chambers would fail our DQMF tests)-- As of August 2009, Only 25-35 out of ~1100 chamber fail our DQMF tests. We are investigating each of these problems, many of which we already understand -- Developed graphical interface for MDT system online monitoring with DQMF.-- Greatly increases the ability of the shifter to navigate large MDT system, study data and identify problems -- Developed tools for automated archiving of data quality results into Databases -- Develop and maintain MDT online monitoring documentation / twiki-- Constantly in Control room monitoring MDTs during data taking, both while on and off shift Harvard will maintain its role as Muon Online data quality experts at CERN as we approach first beam of the LHC -- Michael Kagan will be present at CERN as expert-- Two 3rd year students (Laura Jeanty and Giovanni Zevi della Porta) also at CERN, becoming Muon monitoring experts.Expanding our efforts to offline monitoring -- Not all problems identified online can be solved online-- Using our expertise in MDT online data and taking a larger role in understanding problems in offline data-- Following problems from online to offline and solving them with complete offline data sets-- Beginning to understand how to correlate MDT data problems with other ATLAS sub systems-- One example: spikes recently found in the TDC spectrum of MDT.

M.Franklin - DOE Site Visit


Level 1 monitoring

Level 1 monitoring

M.Franklin - DOE Site Visit


Gnamon a gnam histogram interpreter

GnaMon: A Gnam Histogram Interpreter

  • MDT specific stand-alone tool (not in tdaq)

    • Can be used online and offline: Runs on Gnam root files

    • Performs statistical analysis without need of reference histograms

    • Highlights suspicious tube clusters like multilayers, tube layers, mezz.

Dropped chambers

Hit occupancy overview for the MDT’s from GNAMON

Run: 125032

TGC triggering bottom half

M.Franklin - DOE Site Visit


Test integration case spikes in online monitoring tdc spectra

Test integration case: Spikes in ONLINE monitoring TDC spectra

Chi-square fit fail --->> DQMF warning to shifters

Improve fitting algorithm to identify spikes

M.Franklin - DOE Site Visit


Move to offline to investigate

Move to offline to investigate

Spike events have tens of thousands of MDT hits!

Often the “charge” associated with hits in spikes is zero

M.Franklin - DOE Site Visit


Monitoring muons physics 2 top di boson susy dark matter

Is there a pattern in crates, grounds, ?

M.Franklin - DOE Site Visit


Summary of monitoring plans

Summary of monitoring plans

  • Laura Jeanty, Michael Kagan, Giovanni Zevi della Porta, Shulamit Moed(ex-officio), Melissa Franklin, new post-doc

  • New group taking advantage of the wide knowledge of Harvard muon group who will work on finding and fixing problems found by monitoring while improving monitoring

  • Use online, calibration stream, offline, knowledge of DAQ, DQMF, GNAM , pulser runs etc to solve problems

  • Post-doc resident at CERN arriving fall

M.Franklin - DOE Site Visit


What we thought in the spring

Physics 2 Overview

What we thought in the spring!


Use top physics to look beyond the sm

Use top physics to look beyond the SM

Guimaraes, Franklin, Morii, Mills, Belloni, Prasad(5), Smith(5) +

Prasad thesis- top cross-section 50/pb

Smith thesis - ttbar resonance

New schedule --> Smith thesis WZ cross-section 50/pb


Pp x ttbar x

pp  X  ttbar + x

  • Many models for new physics (extra dimensions, little Higgs, SUSY….) predict heavy resonances, some of which (notably the Randall-Sundrum gluon) couple preferentially to top

  • Tevatron limits are model dependent but exclude resonances below ~1 TeV

  • Can significantly extend this reach at 14 (and even 10) TeV

  • As mass of resonance increases, decay products of top become increasingly collimated  experimental challenges

    • overlapping jets

    • nonisolated leptons from W decay

  • To the left: number of reconstructed jets

    • cone algorithm, cone = 0.4

    • 3 jet bin

      • many signal events, particularly for 2 TeV resonance

      • few events from ttbar (dominant background)

      • but: W+jets may become important

    • Identifying a jet from two partons (such as from the two quarks of a W decay)

pT > 20 GeV

M.Franklin - DOE Site Visit


Identifying merged jets

Identifying Merged Jets

  • Jet Eccentricity

    • geometrical measure of elongation of jet energy deposit in the calorimeter

    • 0 = circular, 1 = highly elliptical/elongated

  • Uncorrelated with jet mass, another good discriminant

  • ATL-com-phys-2009-338

M.Franklin - DOE Site Visit


Wz feasibility studies

WZ feasibility studies

  • W+Z  l+l-l+: motivation

    • “bread and butter” Standard Model measurement

    • Key background for same-sign lepton and trilepton searches

    • Develop understanding of multilepton data, technology for estimating backgrounds

  • Back-of-the-envelope feasibility check: cross section measurement with 100 pb-1

    • 10 TeV

      • S/B ~ 5 ~36/7

    • 7 TeV

      • S/B ~ 5~20/4

      • Promising enough to take the next step

      • More detailed assessment of expected precision

M.Franklin - DOE Site Visit


Top with low energy and small sample

Top with low energy and small sample

E (TeV)sel eesel emsel mm

4 4 115

5 8 2210

6 13 3616

7 20 5325

8 27 8135

10 50 13462

Generated di-lepton top (e/m) signal samples at 4, 5, 6, 7, 8, 10 TeV

  • Selection eff. For dilepton events flat across energy range

events in 50/pb Selected

M.Franklin - DOE Site Visit


Top cross section

Top cross-section

  • Lepton+jets

  • Prasad thesis

# of events with hi pt muon and jets in 50/pb

Plot made before latest CERN announcement

M.Franklin - DOE Site Visit


New physics with di leptons in the longer term

New physics with di-leptons in the longer term

SUSY, Dark Matter etc

  • Laura Jeanty(3), Giovanni Zevi della Porta(3), Mills, Franklin …

M.Franklin - DOE Site Visit


Same sign dilepton signature for susy

~

q

q’

o

jets

g

~

~

l

q

l

g

~

q

~

~





l

W

g

leptons

~

q’

q

o

~

~

g

g

missing energy

Same Sign Dilepton Signature for SUSY

  • Putting together possible gluino decays

    • (also possible with squark production)

  • One illustrative decay process:

M.Franklin - DOE Site Visit


Same sign dilepton signature motivation

~

t

~



~

g

100%

97%

22%

l

W

~

b

t

o

~60%: q = t

Same Sign Dilepton Signature: Motivation

  • How often does a gluino gluino pair produce same sign dileptons?

  • Total branching fraction to same sign leptons ~ 4%

    • 12% if include top or bottom leptonic decays

    • for comparison, 40% of gluino gluino decays have no leptons

  • The signature has multiple handles - leptons, jets, missing energy

  • Does not rely on missing energy and jets alone, unlike other SUSY searches

Other contributing decays from gluino decaying to sbottom

gluino decays to isolated lepton: 26%

gluino gluino pair decays to dileptons: 7.5%

gluino gluino pair decays to same sign dileptons: ~4%

M.Franklin - DOE Site Visit


Can we trigger on it

Can we trigger on it?

Low pt leptons>hard to trigger

M.Franklin - DOE Site Visit


Susy backgrounds our specialty

SUSY backgrounds: our specialty

M.Franklin - DOE Site Visit


Monitoring muons physics 2 top di boson susy dark matter

M.Franklin - DOE Site Visit


Discover dark matter at the lhc

Discover dark matter at the LHC

Recent results in astrophysics suggest a possible dark matter candidate which could be produced at the collider


Possible production mechanisms @ lhc

Possible production mechanisms @ LHC

M.Franklin - DOE Site Visit


Clear signature lepton jets

Clear signature - lepton jets

M.Franklin - DOE Site Visit


Analysis summary

Analysis summary

Study di-leptons WZ, ttbar, SUSY initially; ttbar resonance, dark matter, more SUSY over time

Study Z cross-section, Z pt, Z + jets angular distributions initially: ZHiggs, Z’,Zgamma over time


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