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.

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

Update: Run1 vs Run2 CC inc & First look at Water-out/Water-in Erez Reinherz-Aronis and Rajarshi Das (w/ Walter Toki) May 9,

Oct. Coll Meet Late Activity Cuts Without Bias Thomas H. Osiecki University of Texas at Austin.

1 Progress report on Calorimeter design comparison simulations MICE detector phone conference Rikard Sandström.

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

MINERvA Overview MINERvA is studying neutrino interactions in unprecedented detail on a variety of different nuclei Low Energy (LE) Beam Goals: – Study.

PROGRESS ON WATER PROPERTIES ON TRACKS RECONSTRUCTION Harold Yepes-Ramirez 09/11/2011.

1 A preliminary estimate of the beam e ’s from antineutrinos David Jaffe, Pedro Ochoa December 7 th 2006.

Off-axis Simulations Peter Litchfield, Minnesota  What has been simulated?  Will the experiment work?  Can we choose a technology based on simulations?

1 N. Davidson E/p single hadron energy scale check with minimum bias events Jet Note 8 Meeting 15 th May 2007.

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.

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.

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.

Far Detector Fiducial Volume Studies Andy Blake Cambridge University Saturday February 24 th 2007.

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

2015/6/23 1 How to Extrapolate a Neutrino Spectrum to a Far Detector Alfons Weber (Oxford/RAL) NF International Scoping Study, RAL 27 th April 2006.

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

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

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

April 1, Beam measurement with -Update - David Jaffe & Pedro Ochoa 1)Reminder of proposed technique 2)Use of horn-off data 3)Use of horn2-off data?

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.

First tried to reproduce Jeff’s cuts described in his talk at Oxford (minos-doc 1409): For this, used tracks in fiducial volume (1m

Far Detector Fiducial Volume Study Andy Blake Cambridge University Thursday December 7 th 2006.

1/16 MDC post-mortem redux Status as of last CC meeting: –True values of cross-section and oscillation parameters were used to reweight the ND and FD MC.

Identification of neutrino oscillations in the MINOS detector Daniel Cole

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

10/24/2005Zelimir Djurcic-PANIC05-Santa Fe Zelimir Djurcic Physics Department Columbia University Backgrounds in Backgrounds in neutrino appearance signal.

P. Vahle, Fermilab Oct An Alternate Approach to the CC Measurement— Predicting the FD Spectrum Patricia Vahle University College London Fermilab.

MINERvA Overview MINERvA is studying neutrino interactions in unprecedented detail on a variety of different nuclei Low Energy (LE) Beam Goals: – Study.

The Number of Light Neutrino Families ● Physics motivation for measurement ● Direct / indirect searches for ● Analysis methodology for ● Single photon.

Preliminary Study of CC-Inclusive Events in the P0D using Global Reconstruction Rajarshi Das (w/ Walter Toki) Nu-Mu Prelim. Meeting Dec 2010 CSU.

Monte Carlo Comparison of RPCs and Liquid Scintillator R. Ray 5/14/04  RPCs with 1-dimensional readout (generated by RR) and liquid scintillator with.

1 Cosmic Muon Analysis: Current Status Stuart Mufson, Brian Rebel Argonne March 18, 2005.

Response of AMANDA-II to Cosmic Ray Muons and study of Systematics Newt,Paolo and Teresa.

Search for Electron Neutrino Appearance in MINOS Mhair Orchanian California Institute of Technology On behalf of the MINOS Collaboration DPF 2011 Meeting.

1 Mike Kordosky – NuFact 06 - Aug 27, 2006 Neutrino Interactions in the MINOS Near Detector Mike Kordosky University College London on behalf of the MINOS.

ND/CC/FD: (Thursday, 13:15-15:15) Flux normalization (Mike Kordosky, 15 min) started 5 late, give 5 extra minutes, +5 Quasi-Elastics and Flux (Mark Dorman,

1 Performance of a Magnetised Scintillating Detector for a Neutrino Factory Scoping Study Meeting Rutherford Appleton Lab Tuesday 25 th April 2006 M. Ellis.

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.

P. Vahle, Oxford Jan F/N Ratio and the Effect of Systematics on the 1e20 POT CC Analysis J. Thomas, P. Vahle University College London Feburary.

Muon absolute flux measurement in anti-neutrino mode A.Ariga 1, C. Pistillo 1, S. Aoki 2 1 University of Bern, 2 Kobe University.

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,

Comments on systematics of corrected MB distributions Karel Safarik (presented by A. Morsch) Meeting of the Minimum Bias and Underlying Event WG CERN,

A bin-free Extended Maximum Likelihood Fit + Feldman-Cousins error analysis Peter Litchfield  A bin free Extended Maximum Likelihood method of fitting.

Mark Dorman UCL/RAL MINOS Collaboration Meeting Fermilab, Oct. 05 Data/MC Comparisons and Estimating the ND Flux with QE Events ● Update on QE event selection.

Study of the ND Data/MC for the CC analysis October 14, 2005 MINOS collaboration meeting M.Ishitsuka Indiana University.

Medium baseline neutrino oscillation searches Andrew Bazarko, Princeton University Les Houches, 20 June 2001 LSND: MeVdecay at rest MeVdecay in flight.

1 Constraining ME Flux Using ν + e Elastic Scattering Wenting Tan Hampton University Jaewon Park University of Rochester.

T2K muon measurement 2014 Momentum module A.Ariga, C. Pistillo University of Bern S. Aoki Kobe University 1.

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.

Measurement of the neutrino velocity with the MINOS detectors and NuMI neutrino beam GdR Saclay – 11/04/08 Magali Besnier hep-ex – v3.

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.

Status of QEL Analysis ● QEL-like Event Selection and Sample ● ND Flux Extraction ● Fitting for MINOS Collaboration Meeting FNAL, 7 th -10 th December.

Measuring Oscillation Parameters Four different Hadron Production models  Four predicted Far  CC spectrum.

September 10, 2002M. Fechner1 Energy reconstruction in quasi elastic events unfolding physics and detector effects M. Fechner, Ecole Normale Supérieure.

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

Extrapolation Techniques  Four different techniques have been used to extrapolate near detector data to the far detector to predict the neutrino energy.

Neutrino Oscillation Results from MINOS Alexandre Sousa Oxford University (for the MINOS Collaboration) 30 th International Cosmic Ray Conference - ICRC.

Observation Gamma rays from neutral current quasi-elastic in the T2K experiment Huang Kunxian for half of T2K collaboration Mar. 24, Univ.

Mark Dorman – UCL/RAL – Calibration Workshop Talk Update on ND Strip-to-Strip Calibration Work Mark Dorman Calibration Workshop Fermilab, September 7-9.

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.

MINERνA Overview  MINERνA is studying neutrino interactions in unprecedented detail on a variety of different nuclei  Low Energy (LE) Beam Goals: t Study.

Neutral Current Interactions in MINOS Alexandre Sousa, University of Oxford for the MINOS Collaboration Neutrino Events in MINOS Neutrino interactions.

A PID based approach for antineutrino selection

Newt Ganugapati and Teresa Montaruli

Presentation transcript:

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 MC. ● Low hadronic energy CC event distributions with Cedar. ND Phone Meeting (18 th Oct.) Mark Dorman UCL / RAL

Cuts and Reweighting ● Pre-selection cuts differ (slightly) from standard CC analysis: ● Data must pass standard beam quality cuts and the special horn current runs are excluded. ● CC-like events are then selected with CC PID > ● The label 'tuned MC' refers to MC that has been weighted using the 12 parameter SKZP2 beam and hadron production weights and the MODBYRS3 generator weights. All MC in this talk is tuned. ● I have not used any of the EnergyCorrections functions in creating PANs for the Cedar MC or Data. Event has 1 well reconstructed track and is in the 'Pittsburgh' fiducial volume If muon momentum is measured from curvature then the fractional error on this measurement is not more than 30% Zero or negative muon charge sign (anti-neutrino cut) Track starts at least 0.5m inside the detector (rock muon cut) Either there is no event within 50ns of the current event or the current event has at least 95% of the PH of itself and the nearest event (runt event cut)

Data Sets, PoTs and Selected CC Event Numbers ● I have used the following LE-10 data sets: ● With the cuts listed on the previous page to select CC events I get the following reconstructed event rates per 1e19 PoTs and ratios: Birch MC: 2.623e19 PoTs (2554 files) Cedar MC: 1.352e19 PoTs (1316 files) Birch Data: 7.118e19 PoTs Cedar Data: 5.033e19 PoTs Birch MC: events Cedar MC: events Birch Data: events Cedar Data: events Cedar MC / Birch MC = Cedar Data / Birch Data = Birch Data / Birch MC = Cedar Data / Cedar MC = 1.065

Reconstructed Neutrino Energy

Reconstructed Shower Energy

Reconstructed Muon Angle

Shower Energy < 250 MeV CC-like Events

Reconstructed Neutrino Energy (Ehad Cut)

Reconstructed Muon Angle (Ehad Cut)

Shower Energy = 0 CC-like Events

Reconstructed Neutrino Energy (Ehad=0)

Reconstructed Muon Angle (Ehad=0)

Conclusions ● I see more reconstructed events in Cedar data and MC as compared to Birch data and MC to the tune of 12% (MC) and 16% (data). ● This excess is fairly independent of energy, angle etc... ● The data/MC ratio for CC-like events in Cedar is higher than for Birch (1.065 v.s ). ● As such the low hadronic energy CC sample discrepancies seen in Birch are not resolved and actually get a little worse. ● The Ehad=0 neutrino energy data/MC comparisons look good but the discrepancy in the muon angle is still present with Cedar. ● Some (most?) of the Cedar CC sample excesses as compared to Birch can probably be accounted for by changes in the CC PID distribution and track finding efficiency. I could look at all reconstructed events as well as just the CC-like ones.

Backup Slides

Reconstructed Q^2 (Whole CC Sample)

Reconstructed W^2 (Whole CC Sample)

Reconstructed y (Whole CC Sample)

Reconstructed x (Whole CC Sample)