MC study of TREND Ground array Feng Zhaoyang Institute of High Energy Physics,CAS 2014.12.08.

Slides:



Advertisements
Similar presentations
HELYCON Hellenic Lyeum Cosmic Observatories Network Developing and Constructing An Extensive Air Shower Detector Antonis Leisos Hep2006-Ioannina Hellenic.
Advertisements

AGASA Results Max-Planck-Institut für Physik, München, Germany Masahiro Teshima for AGASA collaboration at 3 rd Int. Workshop on UHECR, Univ. Leeds.
Antonis Leisos KM3NeT Collaboration Meeting the calibration principle using atmospheric showers the calibration principle using atmospheric showers Monte.
Stereo Spectrum of UHECR Showers at the HiRes Detector  The Measurement Technique  Event Reconstruction  Monte Carlo Simulation  Aperture Determination.
Using HOURS to evaluate KM3NeT designs A.Leisos, A. G. Tsirigotis, S.E.Tzamarias In the framework of the KM3NeT Design Study VLVnT Athens, 15 October.
Apostolos Tsirigotis HELYCON Hellenic Lyceum Cosmic Observatories Network a progress report Hellenic Open University, University of Patras, University.
Hybrid Extensive Air Shower Detector Array at the University of Puebla to Study Cosmic Rays (EAS-UAP) O. Martínez a, E. Moreno a, G. Pérez a, H. Salazar.
Antonis Leisos KM3NeT Design Study the calibration principle using atmospheric showers the calibration principle using atmospheric showers construction.
Use of floating surface detector stations for the calibration of a deep-sea neutrino telescope G. Bourlis, N. A. B. Gizani, A. Leisos, A. G. Tsirigotis,
TeVPA, July , SLAC 1 Cosmic rays at the knee and above with IceTop and IceCube Serap Tilav for The IceCube Collaboration South Pole 4 Feb 2009.
Review of PID simulation & reconstruction in G4MICE Yordan Karadzhov Sofia university “St. Kliment Ohridski” Content : 1 TOF 2 Cerenkov.
AGASA Masahiro Teshima Max-Planck-Institut für Physik, München, Germany for AGASA collaboration.
A crude (lower limit) estimation of resolution and event rate Development and Construction of an Extensive Air Shower Array in HOU Antonis Leisos, Hellenic.
HOU Reconstruction & Simulation (HOURS): A complete simulation and reconstruction package for Very Large Volume underwater neutrino Telescopes. A.Leisos,
EHE Search for EHE neutrinos with the IceCube detector Aya Ishihara for the IceCube collaboration Chiba University.
Progress of HERD Simulation Ming XU ( 徐明 ), IHEP HERD 2 nd Workshop, IHEP, Beijing 1.
Apostolos Tsirigotis Simulation Studies of km3 Architectures KM3NeT Collaboration Meeting April 2007, Pylos, Greece The project is co-funded by the.
Report of the HOU contribution to KM3NeT TDR (WP2) A. G. Tsirigotis In the framework of the KM3NeT Design Study WP2 Meeting - Marseilles, 29June-3 July.
PERFORMANCE OF THE MACRO LIMITED STREAMER TUBES IN DRIFT MODE FOR MEASUREMENTS OF MUON ENERGY - Use of the MACRO limited streamer tubes in drift mode -Use.
Size and Energy Spectra of incident cosmic radiation obtained by the MAKET - ANI surface array on mountain Aragats. (Final results from MAKET-ANI detector)‏
EAS Reconstruction with Cerenkov photons Ching-Cheng Hsu, Jan Ching-Cheng Hsu National Taiwan Univ. Dept of physics Feb Shower Simulation.
Preliminary MC study on the GRAND prototype scintillator array Feng Zhaoyang Institute of High Energy Physics, CAS, China GRAND Workshop, Paris, Feb. 015.
EAS Reconstruction with Cerenkov Photons Shower Simulation Reconstruction Algorithm Toy MC Study Two Detector Configuration Summary M.Z. Wang and C.C.
Report of the HOU contribution to KM3NeT TDR (WP2) A. G. Tsirigotis In the framework of the KM3NeT Design Study WP2 Meeting - Erlangen, May 2009.
Moon shadow analysis -- Using ARGO experiment Wang Bo, Zhang Yi, Zhang Jianli, Guo Yiqing, Hu Hongbo Apri for NanJing Meeting
Response of AMANDA-II to Cosmic Ray Muons and study of Systematics Newt,Paolo and Teresa.
Gus Sinnis Asilomar Meeting 11/16/2003 The Next Generation All-Sky VHE Gamma-Ray Telescope.
Status and first results of the KASCADE-Grande experiment
Multi-TeV  -ray Astronomy with GRAPES-3 Pravata K Mohanty On behalf of the GRAPE-3 collaboration Tata Institute of Fundamental Research, Mumbai Workshop.
AGASA Results Masahiro Teshima for AGASA collaboration
XXXI International Cosmic Ray Conference, ICRC 2009 Lodz, Poland, July 7-15, 2009 Time structure of the Extensive Air Shower front with the ARGO-YBJ experiment.
Feb. 7, 2007First GLAST symposium1 Measuring the PSF and the energy resolution with the GLAST-LAT Calibration Unit Ph. Bruel on behalf of the beam test.
Detection of electromagnetic showers along muon tracks Salvatore Mangano (IFIC)
Hadronic interaction studies with the ARGO-YBJ experiment (5,800 m 2 ) 10 Pads (56 x 62 cm 2 ) for each RPC 8 Strips (6.5 x 62 cm 2 ) for each Pad ( 
Test beam preliminary results D. Di Filippo, P. Massarotti, T. Spadaro.
The single shower calibration accuracy is about 6.7 degrees but the accuracy on the mean value (full data set calibration accuracy) scales down inversely.
EAS Time Structures with ARGO-YBJ experiment 1 - INFN-CNAF, Bologna, Italy 2 - Università del Salento and INFN Lecce, Italy A.K Calabrese Melcarne 1, G.Marsella.
Temporal and spatial structure of the Extensive Air Shower front with the ARGO- YBJ experiment 1 - INFN-CNAF, Bologna, Italy 2 - Università del Salento.
Search for GRBs Using ARGO Data in Shower Mode Guo Y.Q. For ARGO-YBJ Collaboration BeiJing 2008/09/26.
1 Hadronic calorimeter simulation S.Itoh, T.Takeshita ( Shinshu Univ.) GLC calorimeter group Contents - Comparison between Scintillator and Gas - Digital.
The KASCADE-Grande Experiment: an Overview Andrea Chiavassa Universita’ di Torino for the KASCADE-Grande Collaboration.
Feb 24, Abnormal Events in HF: TB04, Simulation, and Feb.08 Fermi Testbeam Anthony Moeller (U. Iowa) Shuichi Kunori (U. Maryland) Taylan Yetkin (U.
AMIGA – A direct measurement of muons in Pierre Auger Observatory
Detecting Air Showers on the Ground
PoGO_G4_ ppt1 Study of optimized fast scintillator length for the astronomical hard X- ray/soft gamma-ray polarimeter PoGO November 1, 2004 Tsunefumi.
Performances of the KM2A prototype array J.Liu for the LHAASO Collaboration Institute of High Energy Physics, CAS 32nd International Cosmic Ray Conference,
NEVOD-DECOR experiment: results and future A.A.Petrukhin for Russian-Italian Collaboration Contents MSU, May 16, New method of EAS investigations.
AGASA Results Masahiro Teshima Max-Planck-Institut für Physik, München, Germany for AGASA collaboration.
IceTop Design: 1 David Seckel – 3/11/2002 Berkeley, CA IceTop Overview David Seckel IceTop Group University of Delaware.
Lingling Ma IHEP China Measurement of Cosmic rays with LHAASO at 10PeV~100PeV 4th Workshop on Air Shower Detection at High Altitude Institute of High Energy.
Low energy option for KM3NeT Phase 1? KM3NeT-ORCA (Oscillation Research with Cosmics in the Abyss) P. Coyle, Erlangen 23 June 2012.
1 Cosmic Ray Physics with IceTop and IceCube Serap Tilav University of Delaware for The IceCube Collaboration ISVHECRI2010 June 28 - July 2, 2010 Fermilab.
EHE Search for EHE neutrinos with the IceCube detector Aya Ishihara Chiba University.
Status of ECAP Simulations for the KM3NeT TDR KM3NeT WP2 meeting Rezo Shanidze Paris, December 2008.
Measurement of high energy cosmic rays by the new Tibet hybrid experiment J. Huang for the Tibet ASγCollaboration a a Institute of high energy physics,
Status of Electronics Simulation and Energy Resoluton Estimation
L.L.Ma for LHAASO collaboration Beijing China
Expectation of Cosmic Ray Energy Spectrum with LHAASO
Institute of High Energy Physics, CAS
Newt Ganugapati and Teresa Montaruli
Systematic uncertainties in MonteCarlo simulations of the atmospheric muon flux in the 5-lines ANTARES detector VLVnT08 - Toulon April 2008 Annarita.
Response of AMANDA-II to Cosmic Ray Muons and study of Systematics
MC Simulation and optimization of KM2A
Multicore Cosmic Shower in the ARGO-YBJ experiment
on behalf of the NEMO Collaboration
Deng Ziyan Jan 10-12, 2006 BESIII Collaboration Meeting
Estimation of Sensitivity to Gamma Ray point Sources above 30TeV
Atmospheric muons in ANTARES
P. Sapienza, R. Coniglione and C. Distefano
University of Wisconsin-Madison
Presentation transcript:

MC study of TREND Ground array Feng Zhaoyang Institute of High Energy Physics,CAS

What have been done after the last meeting ? 1, One small bug when estimating particle is found and corrected. 2, The MC study with 0.5 cm lead on the top of the scintillator is finished. All the analysis is repeated at the reconstruction level again.

Content Detector configuration Corsika level study Detector simulation level study Reconstruction level study  effective area  Core resolution  Angular resolution Discussion

Giant Array setup

Giant Array setup: 949 detectors, distance:50m The air is vacuum, To save the CPU time

Giant Array setup S det =600m*3600m=2.16km 2 D=50m,949 detectors, D=100m, 259 detectors, D=150m, 125 detectors, D=200m, 76 detectors, D=300m or 600m, 21 detectors, D=300m, 39 detectors,

Detector configuration Corsika level study Detector simulation level study Reconstruction level study  effective area  Core resolution  Angular resolution Discussion

MC data sample Energy: eV Azimuth: degree Zenith:40-70 degree Slope:-2.0, reweight to -3.0 ~2000 corsika events Noe: the disk size is 3TB, considering we repeat to read them 100*2*2 times, in total the data size to read and do the detector MC is 1200 TB, huge CPU time.

Performance of Corsika Events

Huge numbers of 2 nd particles! All Events zen=40-50 degree zen=50-60 degree zen=60-70 degree

Detector configuration Corsika level study Detector simulation level study Reconstruction level study  effective area  Core resolution  Angular resolution Discussion

Algorithm of detector MC Geant4 can handle so much 2 nd particles at one time. One primary event is splitted to many small piece ( 1piece = 390 * 10 2 nd particles ) Repeat reading 2 nd events, need a lot of CPU time! header 2 nd particles ….. end

Detector MC & data rec. setup Detector: fact to zenith (dθ=0 o ) or zenith=50 degree (dθ=50 o ) One PMT, with 0-50 MIPs dynamic range TDC dynamic range : 0-60us TDC resolution: 2ns Trigger condition: any 3 fired detectors (>0.6 MPs) in 20 us Tstart: at first hit

MC Core position distribution: S mc =800m*3800m=3.04km 2

Single particle peak 1 GeV VEM 2 nd particles(dθ=0 o )

particle numbers and time threshold saturation

Detector configuration Corsika level study Detector simulation level study Reconstruction level study  effective area  Core resolution  Angular resolution Discussion

Rec. Core position Dtheta=0, D=50m

nhit ( all data sample )

Trigger &Rec. efficiency

Effective area: all event, zen=40-70 degree

Effective area: zen=40-50 degree

Effective area: zen=50-60 degree

Effective area: zen=60-70 degree Fluctuation!

Core reconstruction errors

angular resolution

Detector configuration Corsika level study Detector simulation level study Reconstruction level study  effective area  Core resolution  Angular resolution Discussion

How to understand the abnormal performance ? 1)The role of lead ? 2)Geometry? sec(40 o )=1.30 sec(50 o )=1.55 sec(60 o )=2.0 sec(70 o )=2.92

Look back the 2 nd particles in Corsika level : Nem VS Nμ All Events zen=40-50 degree zen=50-60 degree zen=60-70 degree Gama Electron Muon

Do the MC without Lead !

nhit

Trigger &Rec. efficiency

Effective area: all event, zen=40-70 degree

Effective area: zen=40-50 degree

Effective area: zen=50-60 degree

Effective area: zen=60-70 degree

Core reconstruction errors

angular resolution

How to understand the abnormal performance ? 1)The role of lead ? X 2)Geometry? How to considering the geometry effect? sec(40 o )=1.30 sec(50 o )=1.55 sec(60 o )=2.0 sec(70 o )=2.92

Summary MC &rec. software are developed for TREND ground array based on Tibet array. Different detector configurations are compared. Effective area, core rec. resolution, angular resolution are studied with & without 0.5 cm Lead. The effect of the 0.5 cm Lead can’t explain the the abnormal performance of effective area. No full understanding of the results now. The effect of geometry? sec(40 o )=1.30 sec(50 o )=1.55 sec(60 o )=2.0 sec(70 o )=2.92

Energy spectral index correction of CRss

Some number Atmospheric depth : 1022g/cm 2 (sea level) 752g/cm 2 (2650m) sec(40 o )=1.30 *752=977g/cm 2 sec(50 o )=1.55 *752=1165g/cm 2 sec(60 o )=2.0 *752=1500g/cm 2 sec(70 o )=2.92 *752=2.196g/cm 2

Direction reconstruction