1 / 19

ẽ R , μ̃ R, ẽ L Analysis Status

ẽ R , μ̃ R, ẽ L Analysis Status. Outline Goal Cross sections and Luminosity assumptions Event Selection Method, dN / dP and Δ P/P ² e¯ momentum measurement problem ? Fit Method Preliminary Results Summary J- J.Blaising , J.Nardulli. ẽ R , μ̃ R, ẽ L Analysis Goal.

Download Presentation

ẽ R , μ̃ R, ẽ L Analysis Status

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. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. ẽR,μ̃R,ẽL Analysis Status Outline • Goal • Cross sections and Luminosity assumptions • Event Selection Method, dN/dP and ΔP/P² • e¯ momentum measurement problem ? • Fit Method • Preliminary Results • Summary J-J.Blaising, J.Nardulli LCD WG6 meeting

  2. ẽR,μ̃R,ẽL Analysis Goal Assess the physics performances, statistical accuracy reachable for: • ẽR , μ̃R and μ̃Lproduction cross sections • ẽR , μ̃R , μ̃L, χ̃⁰₁ and χ̃⁰₂ masses • Establish the ẽ and μ̃helicity LCD WG6 meeting

  3. S and B Cross Sections, Luminosity Integrated luminosity assumptions: ẽR :-> e + χ̃⁰₁: 250 fb¯¹ (~ 0.5 year -> 1500 events ) μ̃R :-> μ + χ̃⁰₁ :2000 fb¯¹ (~ 4 years -> 1400 events) ẽL: -> e + χ̃⁰₂ ; χ̃⁰₂ -> h⁰/z⁰ + χ̃⁰₁ : 4000 fb¯¹ (~ 8 years -> 1000 events ) Work started LCD WG6 meeting

  4. Event selection TMVA is used to build PDF (S, B) out of input histograms (Evis, PT12,...) and combine them into a total probability classifier. Half of data sample is used to compute the PDF ; the second half is the data sample. The classifier ranks events to be S/B like; it is used to select the events. LCD WG6 meeting

  5. dN/dP (S) for Different Selection CutsC0=-1, C1=-0.8, …, C4=-0.2 μ̃ (left); the selection cut affects more the lower edge of the distribution. ẽ(right); the cut affects also the high P; it is likely due to ΔE/E² which is worse for electrons (next slide). LCD WG6 meeting

  6. dN/dPv (μ̃, ẽ) No γγ->h Overlay Two gaussians fit to take into account the tails : Int[G1]/Int[G2]=5.0 % for μ± (left) ; 20% for e± (right). More Brems in ẽ; is ΔP/P²right? Check using events without: FSR γ (gs=1), Bremssγ (gs=0) LCD WG6 meeting

  7. ΔP/P² (ẽ and eGun data without γ) ΔP/P²: ẽ (left), tail and 10% overflow ΔP/P²: Jacopo’s eGun events, tail and 12% overflow ΔP/P² should be similar as for μ !! ; checked that P.pfo=P.track Problemin e track measurement ? Unlikely LCD WG6 meeting

  8. ΔP eGun data without γ ΔP (P.Pfo-EemCluster) vsΣPγPfo In 3500 events without γ Pandora finds 4600 photons Bug in McParticleSkimmed ? LCD WG6 meeting

  9. ẽ̃ event without γ Pandora RPFO 0 id -11 E 624.24 theta 146.12 phi -130.48 RPFO 1 id 2112 E 13.65 theta 145.75 phi -129.63 RPFO 2 id 22 E 9.21 theta 145.69 phi -131.14 RPFO 3 id 22 E 508.49 theta 36.23 phi -14.46 RPFO 4 id 11 E 425.11 theta 35.55 phi -14.52 (P.Trk=425.11) McParticleSkimmed TMGO 0 id -11 E 624.27 theta 146.12 phi -130.48 e- or e+ TMGO 1 id 11 E 836.46 theta 35.55 phi -14.49 e- or e+ MPFO 0 id -11 E 624.24 theta 146.12 phi -130.48 theta+ID match: -11 /-11 dE 8.69e-08 MPFO 1 id 11 E 933.60 theta 35.55 phi -14.49 theta+ID match: 11 /11 dE 1.39e-04 Why is there a γ of 504GeV in Pfo and not in McParticleSkimmed A dump of the events shows that there is a γ of 423 Gev in McParticle which is not Put in McParticleSkimmed Where is the problem ? LCD WG6 meeting

  10. dN/dPv (μ̃, ẽ) with γγ->h overlay The γγ-> h overlay does not degrade the μ and e energy resolution. One can consider that the discriminating variables and the event selection are not affected by the γγ-> h background. LCD WG6 meeting

  11. dN/dP, S(μ̃) +B; Cuts C0 and C4 LCD WG6 meeting

  12. dN/dP S(ẽ) + B; Cuts C0 and C4 LCD WG6 meeting

  13. dN/dP Fit The end points EL and EH of the μ/e momentun distribution are given by (1). The μ̃/ẽ and χ⁰ masses are determined from a 2 parameters fit to the reconstructed momentum spectrum,dN/dP; S+B–B(MC). For a set of masses, a template spectrum of N events is modeled accordingto (1), N=Ndata. For each event √S is thrown taking into account ISR +Beamstrahlung spectrum. The momentum is smeared usingΔE/E². The chi2 = Σ(data-template)²/err² is computed. Minuit is used to iterate until the chi2 is minimized. LCD WG6 meeting

  14. μ: Fit dN/dP S+B-B(MC) Fit S only (left), S+B-B(MC) (right) Δ m/m (μ̃R) ~ 0.5 % ; Δ m/m ( χ̃⁰₁) ~ 2% LCD WG6 meeting

  15. ẽ: Fit dN/dP S only, S+B-B(MC) For S only (left); S+B-B(MC) (right) Δ m/m (ẽR) ~ 0.6 % ; Δ m/m ( χ̃⁰₁) ~ 3% LCD WG6 meeting

  16. Polarization Polarized beams will allow to study the cross section variation in order to determine the ẽ and μ̃helicity: With B1 (e¯) L:0.2/R:0.8 and B2 (e⁺) L:0.0/R:0.0 the μ̃ and ẽ cross sections are about 30% larger. The major backgrounds are unchanged LCD WG6 meeting

  17. Summary • The γγ-> h overlay does not degrade the μ and e energy resolution. One can consider that the discrimination variables and the event selection are not affected by the γγ-> h background. No need to overlay the SM background. • With 250 fb¯¹ for ẽR and 2000 fb¯¹ for μ̃R , theproduction cross • sections can be determined with a relative statistical uncertainty • of ~ 3% . • The mẽR , mμ̃R can be measured with a relative statistical accuracy • of~ 0.5 % and ~ 2 % for χ̃⁰₁ . • Polarized beams will allow to establish the ẽ and μ̃helicity for the • measured masses . • Work started to assess the performance for the ẽL. • Fix e bremsstrahlung problem required LCD WG6 meeting

  18. Spare Slides LCD WG6 meeting

  19. dN/dP (S+B) for C4 LCD WG6 meeting

More Related