Impact of Efficient e Veto on Stau SUSY Dark Matter Analyses at ILC

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Presentation transcript:

Impact of Efficient e Veto on Stau SUSY Dark Matter Analyses at ILC Introduction BeamCal for e vetoing SM backgrounds Desired other PID capability Summary Based on P. Bambade, V. Drugakov, W. Lohmann, physics/0610145 Z. Zhang, arXiv:0801.4888v1 & earlier studies FWD@TILC08 (Sendai), 5/3/2008

Introduction Search for DM and understanding its nature is a key subject ILC is expected to play a unique role However the precision achievable at ILC does not come without effort FWD@TILC08 (Sendai), 5/3/2008

Example Results on Relic DM Density Method one: (L=500fb-1) Scenario A C D G J DM (GeV) 7 9 5 9 3 Ecm (GeV) 505 337 442 316 700 s (fb) 0.216 0.226 0.456 0.139 3.77 Efficiency (%) 10.4 14.3 5.7 14.4 <1.0 dmstau (GeV) 0.49 0.16 0.54 0.13 >1.0 dWh2 (%) 3.4 1.8 6.9 1.6 >14* Method two: (L= 200fb-1 300fb-1) Scenario Modified SPS 1a D DM (GeV) 8 5 3 5 Ecm (GeV) 400 600 500 Pol 0.8(e-)/0.6(e+) yes yes yes yes no yes s (fb) 140 50 20 25 Efficiency (%) 18.5 7.6 7.7 6.4 dmstau (GeV) 0.14 0.22 0.28 0.15 0.11-0.13 0.14-0.17 0.13-0.20 dWh2 (%) 1.7* 4.1* 6.7* 1.9 1.4-1.7 1.8-2.2 1.7-2.6 microMegas *: Wh2<0.094(WMAP lower limit) H.U.Martyn hep-ph/060822 Z. Z. arXiv:0801.4888v1 [hep-ph] FWD@TILC08 (Sendai), 5/3/2008

Expected Signature at an ILC Detector Stau production & decays @ e+e- collider t+ e+ e- t - x- Difficulty no one: Missing energy from both LSP and neutrino(s) in tau decay final state Difficulty no two: Large SM background contributions FWD@TILC08 (Sendai), 5/3/2008

Cross Sections: Signal versus SM Backgrounds Signal (Scenario D’): Ecm (GeV) Beam Pol. s (fb) 442 Unpol. 0.456 500 10 0.8(e-)/0.6(e+) 25 600 20 50 Method one: Optimal Ecm (hep-ph/0406010)  Method two: Large Ecm (hep-ph/0608226) SM Backgrounds: g*g*  t+t-(Et>4.5GeV): s~4.3x105 fb  m+m- (Et>2GeV): s~5.2x106 fb  hadrons (direct*direct dominant) ccbar s~8.2x105 fb  WW e+e-  m+m-, t+t-: s~1.0x103 fb FWD@TILC08 (Sendai), 5/3/2008

Example: Dominant gg Background SM background production & decays @ e+e- collider e+ e+ g* t+ t - g* e- e- Tau decay final states: Measured in the main detector Spectator e+ and e- Mostly going into the BeamCal FWD@TILC08 (Sendai), 5/3/2008

Background Rejection Analysis cuts relying on the main detector A big fraction of background can be rejected using these cuts but not sufficient for a quasi-background free analysis  Forward veto is needed FWD@TILC08 (Sendai), 5/3/2008

Forward (BeamCal) Veto Identify energetic spectator e+ and/or e- from gg events Complication from beamstrahlung GeV Very challenging to have a radiation hard yet a very efficient BeamCal for e/g ID FWD@TILC08 (Sendai), 5/3/2008

Forward (BeamCal) Veto Efficiency A study by P. Bambade, V. Drugakov, W. Lohmann, physics/0610145: Fine granularity tungsten/diamond sample calorimeter @ 370cm from IP Design depends on beam configuration BeamCal @ 370cm e/g VETO efficiency Identify spectator e+/e- out of huge beamstrahlung e+e- pairs Efficiency is energy and angle dependent FWD@TILC08 (Sendai), 5/3/2008

Summary on Final Selection/Rejection The angular distribution of spectator e± SM background ggtt generated at Ecm of 500GeV Method 1 Method 1 2 ssignal[fb]*eeff 0.456*5.7% 10*6.4% sbkg[fb] (w/o VETO) 561 168 (+VETO) 0.08 0.26 S/B ~0.3 ~2.5 VETO eff. is pretty good for method 2 but needs improvement for method 1 FWD@TILC08 (Sendai), 5/3/2008

How to Improve? Very limited efficiency (e.g. ~6% in method one for scenario D’) one reason: mm & eX topologies excluded (>20% eff. lost) To improve on this, one needs to improve/extend PID to low angles Background free stau detection needs this capability: eeeemm, eeeett: m+e or t+e visible in the detector  signal like Another e in the beam-pipe, another m or tm/p (energetic) @ low angle e m/t For more details refer to my ILD contribution on Friday FWD@TILC08 (Sendai), 5/3/2008

Summary Excellent veto efficiency of the BeamCal is a must m/p PID capability at low angles is also desirable Depending on SUSY scenario, DM density precision @ ILC can compete with expected precision from e.g. Planck FWD@TILC08 (Sendai), 5/3/2008

mSUGRA SUSY DM Scenarios after WMAP Benchmark points: Battaglia-De Roeck Ellis-Gianatti-Olive -Pape, hep-ph/0306219 important when DM=mstau-mc is small Challenging scenarios The precision on SUSY DM prediction depends on DM & thus dmc  Needs smuon (or selectron) analysis dmstau  Needs stau analysis FWD@TILC08 (Sendai), 5/3/2008