1 CC update –  momentum resolution Software news: –Converted code to read Sue’s ntuples. Allows use of Chris’s analysis framework (including event display)

Slides:

Advertisements

Similar presentations

Update on Data / MC Comparisons for Low Hadronic Energy CC-like Events Reminder of problem Fiducial studies with more MC statistics Effect of offset in.

Advertisements

N. Saoulidou Fermilab 1 Update on track reconstruction in the Near Detector N. Saoulidou, Fermilab

Reconstruction Issues in Cosmic Ray Muons Maury Goodman/Gavril Giurgiu & Jurgen Reichenbacher.

Effects of Tracking Limitations On Jet Mass Resolution Chris Meyer UCSC ILC Simulation Reconstruction Meeting July 3, 2007.

Emily Thompson May 5 – UMass HEP Exp Group Meeting 1 Tag-probe method: Fitting Z → μ + μ - mass peaks Motivation: 1. Want to use long p T tail of muon.

CC analysis progress This talk: –A first attempt at calculating CC energy sensitivity using the Far Mock data MC files with full reconstruction. –Quite.

Selection: i) Used “basic cuts” described in my NuBarPID talk (slide 3). 74.4% of CC events pass this cut. ii) Used David’s PID cut at -0.2 to remove NC.

MINOS Feb Antineutrino running Pedro Ochoa Caltech.

1 PID Detectors & Emittance Resolution Chris Rogers Rutherford Appleton Laboratory MICE CM17.

Update on NC/CC separation At the previous phone meeting I presented a method to separate NC/CC using simple cuts on reconstructed quantities available.

SpillServer and FD neutrino events As part of my CC analysis studies, I have been attempting to isolate beam neutrino candidates in the FD using both scanning.

© Imperial College LondonPage 1 Preliminary Studies of the Tracking Resolution at DESY Hakan Yilmaz.

1 First look at new MC files First look at reconstruction output from the newly- generated “mock-data” MC files. –These contain the following improvements:

Atmospheric Neutrino Event Reconstruction Andy Blake Cambridge University June 2004.

1 Downstream PID performance MICE analysis phone conference Rikard Sandström.

Status of  b Scan Jianchun Wang Syracuse University Representing L b scanners CLEO Meeting 05/11/02.

Effects of Tracking Limitations On Jet Mass Resolution Chris Meyer UCSC ILC Simulation Reconstruction Meeting July 3, 2007.

25 April Antineutrino selection for constraining the e beam Goal: extract component of  rate from  + decays Requirement: High purity at low neutrino.

CC/NC SEPARATION STUDY Andy Blake Cambridge University Friday February 23 rd 2007.

1 Recent developments on sensitivity calculations Effect of combined le and me running –Is there a statistical advantage over pure le running? Discrimination.

FD event selection and data/MC comparisons Motivation of this study –Look at FD events (with blinding scheme imposed) to determine Whether we observe neutrino.

1 MDC post-mortem Now that we know most (if not all) of the input MDC parameters, I thought it would be useful to conduct a post- mortem of the CC MDC.

Partially Contained Atmospheric Neutrino Analysis Andy Blake + John Chapman Cambridge University January 2004.

In order to acquire the full physics potential of the LHC, the ATLAS electromagnetic calorimeter must be able to efficiently identify photons and electrons.

1 N. Davidson Calibration with low energy single pions Tau Working Group Meeting 23 rd July 2007.

1 CC analysis update Repeat of CC analysis with R1.9 ntuples –What is the effect of improved tracking efficiency? Alternative PID methods: likelihood vs.

Stats update Was asked to provide comparison between toy mc and g4mice at two points along z (middle of first and third absorbers) 10,000 events, step.

Identification of neutrino oscillations in the MINOS detector Daniel Cole

CC ANALYSIS STUDIES Andy Blake Cambridge University Fermilab, September 2006.

MCP checks for the H-4l mass. Outline and work program The problems: – Higgs mass difference from the  – Possible single resonant peak mass shift (with.

Measurement of through-going particle momentum by means of Multiple Scattering with the T600 TPC Talk given by Antonio Jesús Melgarejo (Universidad de.

H->ZZ->4l Update Trying to re-do CSC note: MC Sample Trigger Eff. Electron Selection Eff. Muon Selection Eff.

Archana Sharma, Suman Beri Panjab University Chandigarh India-CMS meeting TIFR, Jan Updates on the RPC trigger efficiency work with data driven.

Optimising Cuts for HLT George Talbot Supervisor: Stewart Martin-Haugh.

W JamboreeEric Lançon - ALEPH Week - January Jetset vs Herwig … Once more III Jetset vs Herwig on same selected events.

Reconstruction Software Report J. Musser FNAL, Oct

K  group activities K + K - retracking features New vs Old : resolution future planning. Conclusion and outlook K + K - retracking features New vs Old.

V.Patera – KLOE GM – Otranto – 10 June 2002 K  reconstruction status K + K - retracking features New vs Old : resolution New vs Old : efficiencies Conclusion.

RICH upgrade simulation: updates RICH upgrade-software meeting 1 S.Easo.

RICH upgrade simulation: updates S.Easo RICH upgrade-mechanics meeting 1.

© Imperial College LondonPage 1 Tracking & Ecal Positional/Angular Resolution Hakan Yilmaz.

1 Endcap C SCT Efficiency Calculation Update Nicholas Austin University of Liverpool Operations Meeting June 2007.

First Look at Data and MC Comparisons for Cedar and Birch ● Comparisons of physics quantities for CC events with permutations of Cedar, Birch, Data and.

Hadron production in C+C at 1 and 2 A GeV analysis of data from experiments NOV02 and AUG04 for high resolution tracking (Runge-Kutta tracks) Pavel Tlustý,

N. Saoulidou, Fermilab, MINOS Collaboration Meeting N. Saoulidou, Fermilab, ND/CC Parallel Session, MINOS Collaboration Meeting R1.18.

Cedar and pre-Daikon Validation ● CC PID parameter based CC sample selections with Birch, Cedar, Carrot and pre-Daikon. ● Cedar validation for use with.

W/Z Plan For Winter Conferences Tom Diehl Saclay 12/2001.

FTKSim Status and plans FTK Meeting 07/13/2006 F. Crescioli, M. Dell'Orso, G. Punzi, G.Volpi, P. Giannetti.

Beam Extrapolation Fit Peter Litchfield  An update on the method I described at the September meeting  Objective;  To fit all data, nc and cc combined,

Measurement of the Charge Ratio of Cosmic Muons using CMS Data M. Aldaya, P. García-Abia (CIEMAT-Madrid) On behalf of the CMS Collaboration Sector 10 Sector.

Fast Simulation and the Higgs: Parameterisations of photon reconstruction efficiency in H  events Fast Simulation and the Higgs: Parameterisations of.

Search for High-Mass Resonances in e + e - Jia Liu Madelyne Greene, Lana Muniz, Jane Nachtman Goal for the summer Searching for new particle Z’ --- a massive.

Comparison of different km3 designs using Antares tools Three kinds of detector geometry Incoming muons within TeV energy range Detector efficiency.

1 Performance of a Magnetised Scintillating Detector for a Neutrino Factory Scoping Study Meeting U.C. Irvine Monday 21 st August 2006 M. Ellis & A. Bross.

Update on Diffractive Dijets Hardeep Bansil University of Birmingham 12/07/2013.

MINOS Coll Meet. Oxford, Jan CC/NC Data Cross Checks Thomas Osiecki University of Texas at Austin.

P. Ochoa, September Using Muon Removed files to assess the purity of the nubar-PID selection Pedro Ochoa MINOS Collaboration Meeting September 2006.

Hadron production in C+C at 1 and 2 A GeV analysis of data from experiments NOV02 and AUG04 for high resolution tracking (Runge-Kutta tracks) Pavel Tlustý,

Paolo Massarotti Kaon meeting March 2007  ±  X    X  Time measurement use neutral vertex only in order to obtain a completely independent.

M. Ellis - MICE Collaboration Meeting - Wednesday 27th October Sci-Fi Tracker Performance Software Status –RF background simulation –Beam simulation.

Mark Dorman UCL/RAL MINOS WITW June 05 An Update on Using QE Events to Estimate the Neutrino Flux and Some Preliminary Data/MC Comparisons for a QE Enriched.

Vienna, PANDA meeting, December 1 st, 2015 Universita’ di Pavia Italy Track efficiency and contamination in Road Finding Pattern Recognition when the interaction.

Susanna Costanza - Pavia Group PANDA C.M., Stockholm – June 14, 2010

A PID based approach for antineutrino selection

Preliminary T2K beam simulation using the G4 2km detector

Global PID MICE CM43 29/10/15 Celeste Pidcott University of Warwick

MUC simulation and reconstruction

Missing B-tracks in L1 trigger

J/Y Simulations for Trigger

Contents First section: pion and proton misidentification probabilities as Loose or Tight Muons. Measurements using Jet-triggered data (from run).

Presentation transcript:

1 CC update –  momentum resolution Software news: –Converted code to read Sue’s ntuples. Allows use of Chris’s analysis framework (including event display) –Using ntuple files generated by Chris (Feb ’04) This talk: –Compare PID results using new ntuples to that presented at previous phone meeting –Look at SR muon momentum resolution D. A. Petyt April 2004

2 Reco. efficiency – new ntuple Reconstructed event must contain at least 1 track CC NC 0<y< <y< <y< <y<1.0

3 Reco. effic. – old ntuple Track finding efficiency much higher for NC in old file. Why?

4 Reco  selection effic - new

5 Reco  selection effic - old

6 PID performance These curves combine both reconstruction and selection efficiencies, although the effect of the trigger is not accounted for NEW file seems somewhat better at higher E NEW OLD

7 SR muon momentum resolution Contained events - range Truth Reconstructed Truth (10% smearing) Resolution function shows small (2%) negative bias and long +/- tails. Momentum resolution ~7%.

8 Track hits Tracking failure in v-z view reco truth

9 Select clean tracks: low y events only Apply cuts: mc_y 20; trk_end radius>40cm Truth Reconstructed Tails are reduced (high-side tail eliminated) and resolution improved, but bias is still present

10 Demux failure in v-z view (low-side tail)

11 Tracking stops prematurely (-ve bias)

12 Tracking stops prematurely (-ve bias)

13 Contained events – q/p Truth Q/P Range Right-side plot: q/p momentum resolution. High-side tail (muon momentum overestimated) is more prominent

14 q/p thrown off by multiple scattering?

15 Disappearing muon?

16 Disappearing muon – x,y,z projections

17 Range/momentum comparison Momentum from range biased low wrt. momentum from curvature

18 Resolution – range vs q/p Multiple scattering? In general, range measurement preferred over q/p for contained tracks.

19 Partially-contained events Truth Reconstructed    

20 All events Truth Reconstructed Use range measurement for contained tracks, q/p for partially-contained.

21 Summary & conclusions Looked at SR muon momentum resolution for clean CEV/PCE tracks : –Obtained resolutions of ~6% for contained tracks, ~12% for partially-contained –Range measurement is biased low (~2%). I think this is probably due to the track finder stopping prematurely at the end of tracks (either because of excessive scattering or high p.h. hits) –Low-side tail evident for CEV/PCE – demux and tracking errors contribute to this. –Would be useful if someone could look at some of the rogue events in detail and see where/how the reconstruction is failing Observed large differences in reconstruction efficiencies (especially for NC) between two reconstruction passes of the same MC file –My hunch is that this is caused by different JobModule configurations – needs looking into.