update from ra2tau search sus 12 004 n.
Download
Skip this Video
Loading SlideShow in 5 Seconds..
Update from RA2Tau ?? Search (SUS-12-004) PowerPoint Presentation
Download Presentation
Update from RA2Tau ?? Search (SUS-12-004)

Loading in 2 Seconds...

play fullscreen
1 / 24

Update from RA2Tau ?? Search (SUS-12-004) - PowerPoint PPT Presentation


  • 79 Views
  • Uploaded on

Update from RA2Tau ττ Search (SUS-12-004). Andrés Delannoy 1 , Will Flanagan 2 , Alfredo Gurrola 1 , Will Johns 1 , Teruki Kamon 23 , Jieun Kim 3 , Andrew Melo 1 , Roy Montalvo 2 , Sinjini Sengupta 2 , Paul Sheldon 1

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about 'Update from RA2Tau ?? Search (SUS-12-004)' - imala


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
update from ra2tau search sus 12 004

Update from RA2Tau ττ Search (SUS-12-004)

Andrés Delannoy1, Will Flanagan2, Alfredo Gurrola1, Will Johns1, TerukiKamon23, Jieun Kim3, Andrew Melo1, Roy Montalvo2,SinjiniSengupta2, Paul Sheldon1

(1) Vanderbilt University (2) Texas A&M University (3) Kyungpook National University

outline
Outline
  • Many updates to AN-11-519 and SUS-12-004 including
    • Systematics
    • mSUGRA scans
    • Simplified Model scans
    • Tau validation at large HT

Fermilab

Boselab

updated systematic uncertainties1
Updated Systematic Uncertainties
  • Luminosity and PDF uncertainties decreased
  • Increase in systematic uncertainties for background as will be discussed here
general approach to control regions
General Approach to Control Regions

Correction factor of events with two real τ’sto signal region

Correction factor of events with one real τ and one fake τto signal region

Correction factor of events with two fake τ’sto signal region

Probability of more than(0,1,2) jets faking taus

A couple examples of this equation in backup slides!

Probability of Njets

“N choose n”

Jet fake rate

example tt control region
Example: tt Control Region

Probability of 1 or more jets faking taus

  • We assign systematics to compensate the variance of our parameters as a function of JEC, JES, τ ID efficiency, pT, jet fake rate, etc…

Probability of 2 or more jets faking taus

For example, here we study jet fake rate as a function of pT. The uncertainty in the constant fit gives us a systematic uncertainty.

msugra scan
mSUGRA Scan
  • Finalized mSUGRA scan with official CMS style
  • These limits are for counting experiment only (we hope to include shape analysis in future)

Now

Before

simplified model scans
Simplified Model Scans
  • Need to finalize Simplified Model plots (T1lnu, T1taunu, T1tauh) with official CMS style
  • GMSB interpretation?

Future

Now

(SUS-12-003)

(T1Tauh)

tau validation at large h t
Tau Validation at large HT
  • We want to validate τ ID variables in a SUSY-like (large HT) environment
  • We will consider tt in 2012, but used W+jets in 2011 due to statistics
  • Similar event selection to signal region except
    • b-jet veto (to get rid of tt)
    • Only require one tau (>98% events have real τ’s from W decay)
    • Baseline selection includes two jets with pT > 100 GeV and MHT>250 GeV
tau validation at large h t2
Tau Validation at large HT
  • Number of events in this control region scales with tau ID efficiency

tau validation at large h t3
Tau Validation at large HT
  • Here we consider τ scale factor as a function of HT and MHT
  • Uncertainty in constant fit assigned as systematic uncertainty
tau validation at large h t4
Tau Validation at large HT
  • We bound our systematic uncertainty on τ ID with two other methods as well (see AN-11-519 and backup slides)
  • In all cases, our uncertainty is less than 7%
  • Tau validation with 2012 data is already underway (GulerKarapinar et al)!
  • Hope to consider tt events to simulate a more SUSY-like environment
conclusions
Conclusions
  • SUS-12-004 has been pre-approved
  • This talk was only a “clif-notes” of our MANY improvements since our last update
  • Many thanks to Rick and Henning (our 3G conveners) for all the guidance in the past couple months!!!
n jets 1
Njets≤1
  • P(N>1)=0, P(0)+P(1)=1

Fake rate times rate of single jet events ✔

100% chance that there are 0 or more jets faking taus

n jets 2
Njets≤2
  • P(N>2)=0, P(0)+P(1)+P(2)=1

100% chance that there are 0 or more jets faking taus

n jets 21
Njets≤2
  • With a dijet event, there is a f(1-f) probability that the leading jet fakes a tau and the second jet does not. There is a f(1-f) probability that the second jet fakes a tau and that the leading jet does not. There is an f2 probability that both jets fake a tau. The probability of one or more taus from two jets is 2f(1-f)+f2=2f-f2

Both jets must fake a tau to have two or more taus… f2

tau validation at large h t5
Tau Validation at large HT

(data-expected)/data = (219 -231)/219=5.5%

tau validation at large h t6
Tau Validation at large HT
  • Over 98% real τ based on MC…
tau validation at large h t7
Tau Validation at large HT
  • Also considered a weighted ratio for τ SF uncertainty… δSFτ<7%