Patrizia de Simone LNF-INFN M1 Efficiency Monitoring Muon Meeting – 14/03/2011 P. de Simone 1

 selection long AND downstream tracksP > 3 GeV/c select long AND downstream tracks with P > 3 GeV/c TracKMasterExtrapolator each track is extrapolated through muon detectors TracKMasterExtrapolator for each extrapolated trackimpact points for each extrapolated track impact points (x,y) errorsMul. Scatt. contribution errors (err x,err y ) Mul. Scatt. contribution select tracks within the muon detector acceptance closest hitimpact point for each station look for the closest hit to the impact point {} {(|x hit – x| <  x) && (|y hit – y| <  y) } pad x x err x  x = pad x + n x x err x = pad x x err x pad y + 2. x err y  y = pad y + n y x err y = pad y + 2. x err y  candidate >= 4one hit associated to the track the track is selected as a  candidate if we found >= 4 stations with one hit associated to the track (M1, M2, M3, M4, M5)  2 -likeselected tracks  2 -like =  2 /ndf {selected tracks }+  {(xhit – x) 2 /err x 2 + (yhit – y) 2 /err y 2 } < 10. well separated for each event collects more than one track only if they are well separated dist M1 > 40.cm dist M1 > 40.cm xy distance of the impact points on M1 of extrapolated tracks Cos  M1 < 0.99 Cos  M1 < 0.99 opening angle on M1 Minimum Ionizing Particles look at the energy released by the  ’s candidates Minimum Ionizing Particles 1000 < E MIP (HCAL) < 3500 MeV E MIP (ECAL) < 1000 MeV Muon Meeting – 14/03/2011 P. de Simone 2 preselection

Data and MC samples MC/MC10/Beam3500GeV-Oct2010-MagDown-Nu2,5 event type inclusive_b MC sample Run TCK 0X002E002A, ≈ 208 nb -1 DIMUON stream Magnet Down DIMUON stream Magnet Down DATA sample {DaVinci v26r3p2} Muon Meeting – 14/03/2011 P. de Simone 3

Search Windows Data/MC the windows  x = pad x + n x x err x and  y = pad y + n y x err y example  M2 Muon Meeting – 14/03/2011 P. de Simone 4 |x hit -x|/pad x |y hit -y|/pad y Events/pad  x = pad x x err x  y = pad y + 2. x err y MCData |x hit -x|/  x |y hit -y|/  y

Search Windows Data/MC.. but this does not work for M1.. Muon Meeting – 14/03/2011 P. de Simone 5 |x hit -x|/pad x |y hit -y|/pad y Events/pad  x = 2. x pad x  y = 3.5 x pad y MCData |x hit -x|/  x |y hit -y|/  y

Match between the muon track and the selected track a muon track is reconstructed using the M2-M5 hits with a linear fit and it is associated to the selected track  match  2 distribution TrackChi2Calculator Muon Meeting – 14/03/2011 P. de Simone 6  2 < 1.5

 stations efficiency Muon Meeting – 14/03/2011 P. de Simone 7 p > 12 GeV/c 1) Fiducial volume  impinging points of the incident tracks within StationOuter X X pad X && StationOuter Y – 2. X pad Y StationOuter X X pad X && StationOuter Y – 2. X pad Y StationInner X X pad X && StationInner Y - 2. X pad Y StationInner X X pad X && StationInner Y - 2. X pad Y M1 && M5 2) to measure the efficiency of M2, M3 and M4 require the M5 hit within  x = err x  y = err y,  y = err y to measure the efficiency of M5 require the M4 hit within  x = err x  y = err y,  y = err y3) to measure the efficiency of M1 require  2 match < 1.5

 stations efficiency Data/MC M1 M2 M3 M4 M5 M1 M2 M3 M4 M5 Muon Meeting – 14/03/2010 P. de Simone 8 from MC truth  M1, M2, M3, M4, M5 few per mil due to low energy background M1, M2, M3, M4, M5 few per mil due to low energy background

M1 regions efficiency Data/MC R1 R2 R3 R4 R1 R2 R3 R4 Muon Meeting – 14/03/2010 P. de Simone 9

next porting the M1 efficiency procedure in the Muon DQ Offline Monitor Muon Meeting – 14/03/2011 P. de Simone 10