Adam Blake, University of Utah. Overview As of 8/4/2008, my search for events in the HiRes data with abnormal speed results in 8 events making it past.

Slides:



Advertisements
Similar presentations
Patch Testing HYPACK 2013.
Advertisements

How to validate in Budget Manager Hopefully now you have reached this stage you will have downloaded the inpatient and outpatients excel files for you.
Kinetics of Particles Impulse and Momentum.
Lecture 23 Exemplary Inverse Problems including Earthquake Location.
JNM Dec Annecy, France The High Resolution Fly’s Eye John Matthews University of Utah Department of Physics and High Energy Astrophysics Institute.
Air Shower Simulations for ANITA K. Belov UCLA. Goals Approach Estimate the energy of the UHECRs detected by ANITA using MC simulations Use well known.
Stereo Spectrum of UHECR Showers at the HiRes Detector  The Measurement Technique  Event Reconstruction  Monte Carlo Simulation  Aperture Determination.
Motion and Energy Chapter 9 Section 1 and 2 By Mrs Nazarali.
GG450 April 22, 2008 Seismic Processing.
Probing the HiRes Aperture near eV with a Distant Laser C. Cannon, L. Pedersen, R. Riehle, M. Seman, J. Thomas, S. Thomas, L. Wiencke for the HiRes.
June 6 th, 2011 N. Cartiglia 1 “Measurement of the pp inelastic cross section using pile-up events with the CMS detector” How to use pile-up.
Vectors Sections 6.6.
Characterization of Orbiting Wide-angle Light-collectors (OWL) By: Rasha Usama Abbasi.
HYPACK® Multibeam Training Seminar
Error Bars & Uncertainty in Slope IB DP Physics. Error Bars  Used on graphs to display the uncertainty in measurements of the data points.  There may.
1 Calice Analysis Meeting 13/02/07David Ward Just a collection of thoughts to guide us in planning electron analysis In order to end up with a coherent.
40 th Annual Lee Webb Math Field Day March 12, 2011 Varsity Math Bowl.
How do we describe motion?
Photon reconstruction and calorimeter software Mikhail Prokudin.
Inference for regression - Simple linear regression
Phy 521 Physics is the branch of knowledge that studies the physical world. Physicists investigate objects as small atoms and as large as galaxies. They.
Standard 8.1 The velocity of an object is the rate of change of its position.
Chapter Representing Motion 2.
Click to edit Master subtitle style 12/14/09 Search for Exotic Particles in the High Resolution Fly’s Eye (HiRes) Data Set S. Adam Blake 11.
Konstantin Belov. GZK-40, Moscow. Konstantin Belov High Resolution Fly’s Eye (HiRes) Collaboration GZK-40. INR, Moscow. May 17, measurements by fluorescence.
W  eν The W->eν analysis is a phi uniformity calibration, and only yields relative calibration constants. This means that all of the α’s in a given eta.
A Study of Mapping for g2p instead of Reconstruction? Jixie Zhang Nov 27, 2012.
SOLIDWORKS: Lesson II – Revolutions, Fillets, & Chamfers UCF Engineering.
Linear Regression Least Squares Method: an introduction.
The measurement of the average shower development profile 高能所:张丙开 导师:曹臻、王焕玉 南京 Apr. 28, 2008.
Processing Lab 3 – Header issues and trace editing Bryce Hutchinson Objectives: Fixing elevation issues Define an LMO function Pick first breaks Kill traces.
Lecture 8 Simple Linear Regression (cont.). Section Objectives: Statistical model for linear regression Data for simple linear regression Estimation.
Optimising Cuts for HLT George Talbot Supervisor: Stewart Martin-Haugh.
MPPC Measurements at LSU Brandon Hartfiel LSU Hardware Group Thomas Kutter, Jessica Brinson, Jason Goon, Jinmeng Liu, Jaroslaw Nowak Sam Reid January 2009.
Simulations Report E. García, UIC. Run 1 Geometry Radiator (water) 1cm x 2cm x 2cm with optical properties Sensitive Volume (hit collector) acrylic (with.
When is an object in motion, and how can you calculate speed?
1 A first look at the KEK tracker data with G4MICE Malcolm Ellis 2 nd December 2005.
Future Plans and Summary Gordon Thomson Rutgers University.
Photon reconstruction and matching Prokudin Mikhail.
Week 6. Statistics etc. GRS LX 865 Topics in Linguistics.
Atmospheric Monitoring at HiRes Status Enhancements Lawrence Wiencke HiRes NSF Review Nov Washington DC.
A Cross Check of Atmospheric Attenuation for the High Resolution Fly’s Eye Astroparticle Experiment Chris Cannon Advisor: Lawrence Wiencke University of.
Adam Blake, June 9 th Results Quick Review Look at Some Data In Depth Look at One Anomalous Event Conclusion.
Chapter 2: Linear Motion Kinematics. Kinematics Kinematics is the science of describing the motion of objects using words, diagrams, numbers, graphs,
Preliminary Profile Reconstruction of EA Hybrid Showers Bruce Dawson & Luis Prado Jr thanks to Brian Fick & Paul Sommers and Stefano Argiro & Andrea de.
Muons at CalDet Introduction Track Finder Package ADC Corrections Drift Points Path Length Attenuation Strip-to-Strip Calibration Scintillator Response.
Current Physics Results Gordon Thomson Rutgers University.
Mechanics - the Study of the Motion of Objects Kinematics is the science of describing the motion of objects using words, diagrams, numbers, graphs, and.
Elliptic flow of D mesons Francesco Prino for the D2H physics analysis group PWG3, April 12 th 2010.
Patch Testing. HYSWEEP ® Calibration of a Multibeam System Patch Testing Single and Dual Head Multibeam Systems. Patch Testing Single and Dual Head Multibeam.
Probing the HiRes Aperture near eV with a Distant Laser C. Cannon, L. Pedersen, R. Riehle, M. Seman, J. Thomas, S. Thomas, L. Wiencke for the HiRes.
1 D *+ production Alexandr Kozlinskiy Thomas Bauer Vanya Belyaev
Kinematics = the study of Motion Kinematics = the study of Motion.
A Measurement of the Ultra-High Energy Cosmic Ray Spectrum with the HiRes FADC Detector (HiRes-2) Andreas Zech (for the HiRes Collaboration) Rutgers University.
April / 2010 UFOAnalyzerV2 1 UFOAnalyzerV2 (UA2) the key of accuracy UA2 inputs video clip files and outputs meteor trajectories. UA2 does following steps.
UFOAnalyzerV2 (UA2) the key of accuracy
Physical Science 11.3 Speed and Velocity
An Automated calibration method from shower data
Beam Gas Vertex – Beam monitor
Two Interpretations of What it Means to Normalize the Low Energy Monte Carlo Events to the Low Energy Data Atms MC Atms MC Data Data Signal Signal Apply.
Ultra High Energy Cosmic Ray Spectrum Measured by HiRes Experiment
External Alignment Maya Shimomura (ISU)
Data Analysis in Particle Physics
Preliminary Profile Reconstruction of EA Hybrid Showers
Outline Analysis of some real data taken with the GLAST minitower (cosmic rays only). Offline analysis software used. Full Monte Carlo simulation using.
2000 Diffuse Analysis Jessica Hodges, Gary Hill, Jodi Cooley
Light Balance Update (Measuring VAOD with cosmic rays.)
The Aperture and Precision of the Auger Observatory
SCT Wafer Distortions (Bowing)
Status of the cross section analysis in e! e
Presentation transcript:

Adam Blake, University of Utah

Overview As of 8/4/2008, my search for events in the HiRes data with abnormal speed results in 8 events making it past my cuts. Of those 8, only 1 has a speed that significantly (meaning 5 or more standard deviations from the speed of light from both HiRes 1 and HiRes 2) differs from the speed of light.

Cuts Data Processing CutsMy Cuts  Both detectors must pass plane fits  Minimum PE per tube: 1.0  Minimum Tubes per event: 6  Minimum Average PE per tube per event: 15.0  Maximum Track Length: Hr1 – 36.0°, Hr2 – 57.0°  Minimum Track Length:  Hr1 – 3°, Hr2 – 6°  Cut if event crossing planes or tube binning  10° > Opening Angle  170° < Opening Angle  Bootstrap σ >.0012 m/ns  Hr1 adjusted tubes < 3  Hr2 adjusted tubes < 6  Track Length < 8 degrees  Tubes in 1 mirror > 170  Ψ > 120  Plog < 2.0  Rp < 4km from either site  Speed difference to Error difference ratio*

April 6 th, 2003 EventRp Hr1Rp Hr2Opening Angle Track Length Hr1 Track Length Hr1 m Track Length Hr2 Track Length Hr2 m Shower Time Slope Hr1Good Tubes Hr1 Slope Hr2Good Tubes Hr

Various Speed Fits Speeds:m/ns shower_speed sab_plane_fit shower_speed/Origin Hires_soft/Mathematica Hires_Soft/Mathematica No weight No Correction, No weight  Shower_speed is speed fit by my program  sab_plane_fit is speed fit after refitting the plane using a plane fitter I wrote  Shower_speed/Origin is speed fit by Origin based on points from shower_speed  Hires_Soft/Mathematica is the HiRes plane fit used with Mathematica to correct tube times then fit in Origin  Hires_Soft/Mathematica no weight is the HiRes plane fit used with mathematica to correct tube times then fit in Mathematica with no additional weighting  No Correction, No weight is a fit performed straight on HiRes raw data with no corrections.

This is the data straight from Bill’s reconstruction without further changes. Bill’s is used instead of Zhen’s because Zhen uses timing in his reconstruction and Bill does not. Stereo Reconstruction Data

Stereo Reconstruction of Event (Bill’s Reconstruction) VariableHiRes 1 rp psi theta32.48 phi-61.73

VariableHiRes 2 rp psi theta32.48 phi-61.73

HiRes 1

HiRes 2

Various shower profiles collected from different sources. There are 2 sets from Utah, shwa and shwb referring to the banks I pulled fits from. There is currently only the one from Rutger’s. I’ve included both individual and overlay graphs where possible. Npart graphs refer to particles vs slant depth – generally in units of 10e9 particles. Photons refer to NPE. Shower Profiles

HiRes 2 Npart - shwa

HiRes 1 Npart - shwa

Overlapped Npart - shwa

HiRes 1 – photons shwa

HiRes 2 photons - swha

Overlapped – photons shwa

Redone Profiles - shwb

HiRes 2 NPE Profile - shwb

HiRes 1 NPE Profile - shwb

Overlapped Profiles - shwb

Rutger’s Profile

This is Rutger’s HR2 mono reconstruction of this event. Note that all values here assume the speed of light. Rutger’s Reconstruction of Event

Dumps from Rutgers DST RUFPLN bank (FADC cluster plane fit) Number of tubes = 141 Number of tubes in plane fit = 44 Seed for track = 23 Normal vector to plane: Norm vect err matrix: Run start: jday Event start: Angular extent = 22.9 Duration = Angular RMS = 12.6, 0.4 Stream = 3

Dumps from Rutger’s DST RUFTFT bank (FADC cluster time fits) Status: 3 Linear Fit: t0 = Slope = Chi2 = Cov = 3.30e e e e-03 Vertical Tangent Fit: r0 = t0 = Chi2 = 35.8 Cov = 4.58e e e e+00 Tangent Fit: r0 = Psi = t0 = Chi2 = 36.7 Cov = 1.25e e e e e e e e e+02

Rutger’s DST Parameters RUSPGF bank (Simultaneuous profile-geometry fit) Status: 1 RpPsit0XmaxNmaxEnergy Fit Values: E E+19 Errors(dn): E E+17 (up): E E+17

FADC traces

This section includes some of the calculations that I have done on the event. My Work on Event

Event Profile – Stereo Planes

My Fit Plane Routine  Routine is simple to reduce possible sources of error.  Takes a point at every tube that fired and made it through reconstruction. Draws a “line” from that tube, putting additional points at every 1 km interval.  Fits the new set of expanded points using the standard equation of a plane and a type of “least squares” fit.  Does not at any point in time assume stereo geometry. Planes for each detector are fit “in a vacuum” so to speak.

Plane Fit Comparisons Plane VectorsHr1_XHr1_yHr1_z Reconstructed My fit Hr2_xHr2_yHr2_z Reconstructed My fit Rutgers  Comparison for plane vectors done by various fitting  Rutgers and HiRes mono planes use relative timing to aide in plane fitting.  My fit describes a plane fitting routine that I wrote to check planes.

Parameter Comparison Comparison TableMineReconstruction Impact X Impact Y rp HR rp HR phi theta psi HR psi HR  Comparison for various parameters.  Mine refers to parameters calculated using my planes and Mathematica  Reconstruction are values pulled from reconstruction.

Line Fits  Line Fits show the depth along shower from rp in meters vs. the corrected time as measured by HiRes.  Red points are those tubes that were removed by either reconstruction or my fitting routine. Most are removed by reconstruction  Fit Parameters are given in the box in the upper right hand corner on each graph.

Line Fits HiRes 1HiRes 2

Line Fit: HiRes 1

Line Fit: HiRes 2

Wiggling Plane – HR1 Theta Direction This movie shows the process of moving the HR1 plane and recalculating speed assuming HR2 plane remains fixed. Click on picture to see movie.

State of Detector  There is a bit of confusion between the logs. HiRes 2 runners claimed good weather run, HiRes 1 runners claimed poor weather run. So checking various systematics like flashers to see what weather was like.

HR1 log Hal Log y2003m04d06 (SS,CO,CCJ) =========================== Executive Summary: hours of poor data. Most of the run was cloudy but were told by HR2 runners that it was clear. Cloudcam seems to be having problems; has pink stripes once in a while. Did Ctrl C on hr1sls and hr2sls accidentally, started and shut it down (please look below). Problem Summary: Were there any garage door problems??? No Any other problems or jobs which need to be done??? Weat computer is still down.

HR1 log (continued) Detectors: BiG H run? Y HiRes-2 FADC run? Y Atmos. Lasers: [HR1SLS] run? Y [HR2SLS] run? Y Hours Good Data: Hours Poor Data: 5.5 Hours Test Data: Sunset Weather: Cloudy, some snow Run Weather: Mainly cloudy on DPG Flashers seen: Intersite: Y Which others?: hr2sls seen: South side of Bigh:Y North Side of Bigh: Y hr3vls seen: (Terra Laser) Vertical Tracks in M19: Y hr1sls Problems: none hr2sls Problems: none hr3vls Problems: none !!!

HR2 log HR2 Log y2003m04d06 (rem cmh) =========================== Executive Summary: snow during day, but cleared by data time; 5 h good data; clouds moved in at end Hardware: Software: Data Issues: Weather: Sunset: high clouds; high humidity; hires1 visible Run: clouds low on horizon; clear above; high humidity Runtime: (from dark output) Dark period: 05:35 (run night!) from: (moon set) 2003 Apr 6 05:58 to: (begin twilight) 2003 Apr 6 11:34

HR2 log (continued) Problem Summary: Mirror did not come on during Boot2. Tried again and failed. then tried "<boot_r 13 14" and they were ok. ?? HiRes-2 FADC run? Y BiG H run? Y Hours Good Data: 5 h Hours Poor Data: 0.5 h Hours Test Data: 0 Baker Lights: can't see(2), fuzzy(1), distinct(0): 0 Wendover Lights: can't see(2), fuzzy(1), distinct(0): 0 Flashers seen: Intersite: Y Which others?:

HiRes 1 log excerpt around time of event 07:14 Weather seems to have taken a turn for the worst. HR2 says still clear there, but will call back after checking. 07:17 N laser only making it through 3 of the mirrors. Also very dim. 07:27 HR2 runners called back: Sky is clear, clouds way over to the east can. They can see the red light rom HR1. There maybe a ground fog, maybe something local. Their humidity is 100% though. humidity at main gate has been going up for the last two hours. 76% at 9:30. Not that the temperature is changing but it is gettinng moist, dew point gone down a bit though.. 07:42 weather clearing. Lasers are actually going all the way across the screen.

Mirror Triggers all night events including flashers HiRes 1HiRes 2

Mirror Offset Times (HiRes 1 trigger time – HiRes 2 trigger time)

10km flasher

HR1 sls

Filling in some of the things I forgot to include with my other summary.

Reconstructed Distributions These are the real data reconstructed distributions after all cuts have been made.

HiRes 1 and 2 Fully Reconstructed Distributions

HiRes 2 Speed Distribution For ease of reading, for the two fits the numbers are: Gauss XcXc W Lorentz XcXc W.00548

HiRes 1 Speed Distribution For ease of reading, for the two fits the numbers are: Gauss XcXc W Lorentz XcXc W.00868

Monte Carlo Distributions These are the distributions from a Monte Carlo generated set of Iron thrown at the speed of light at 10E19 eV.

Thrown Geometry HiRes 2HiRes 1

Reconstructed Geometry HiRes 2HiRes 1

No Cut Distribution This is just for reference, and I would not read anything into it. This is the distribution produced by my shower speed program before I make any cuts. I do require events have stereo data and their pLog values are within the standard for HiRes.

No Cut distribution

All Event Data Goodhr1pointshr2pointsgoodjulian_timehr1psihr2psi : hr1phihr2phihr1thetahr2thetarphr1_normrphr2_normopening_angle tlngth_hr1tlngth_hr1mtlngth_hr2tlngth_hr2mshower_timeslope_hr1intercept_hr chis_hr1good_hr1slope_hr2intercept_hr2chis_hr2good_hr2odd stdev_hr1mean_hr1stdev_hr2mean_hr2sigma_hr1sigma_hr2chi2pdf_hr E chi2pdf_hr2sigmamax_tubespmir max_goodtubesp mirgood_tubes_hr1good_tubes_hr2fplog hplog Diff/combined sigmaHR1 STDevs