clustering : deterministic annealing filter (DAF)

Slides:

Advertisements

Similar presentations

Exotic Shapes and High Spin physics with Intense Stable Beams.

Advertisements

Advanced GAmma Tracking Array

Geant4 Low Energy Polarized Compton Processes Gerardo Depaola * Francesco Longo + Francesco Longo + * National University of Córdoba (Argentina) + University.

Acoustic design by simulated annealing algorithm

Prospects for STEFF at EAR2 A.G.Smith, J.Billowes, R.Frost, E.Murray, J.Ryan, S.Warren,T.Wright The University of Manchester A. Pollitt ILL Grenoble I.

Adam Para, Fermilab, March 23, Methodology  Use Hadr01 example  In G4SteppingVerbose::StepInfo() select all the steps with inelastic processes.

Institut für Kernphysik Markus Horn ILIAS-N3, BSNS-working group meeting Valencia, Forschungszentrum Karlsruhe in der Helmholtz-Gemeinschaft.

High granularity to reduce the effect of the “prompt flash” radiation Polarization sensitivity Imaging capabilities for background suppression DESPEC (DEcay.

Neutron energy spectrum from U and Th traces in the Modane rock simulated with SOURCES (full line). The fission contribution is also shown (dashed line).

MAE 552 – Heuristic Optimization Lecture 6 February 6, 2002.

Neutron Gamma Discrimination in Agata Possibility of discriminating neutrons and gammas by tracking Identify the neutron interaction points in Agata detectors.

1 May 27, 2005 Comparison tower A data and Montecarlo OVERVIEW Comparison of MC (EM- v 4r060302p18 ) and tower A data using the “baseline” run (Run )

Simulations with MEGAlib Jau-Shian Liang Department of Physics, NTHU / SSL, UCB 2007/05/15.

AGATA Demonstrator Test With a 252 Cf Source: Neutron-Gamma Discrimination Menekşe ŞENYİĞİT.

News from the GRETINA TRACKING group New in tracking: We can track Geant4 (G4) simulated data Using both the (1) original AGATA code simulations (with.

TRACKING TEAM Introduction What has been done What still needs to be done.

Workshop on Physics on Nuclei at Extremes, Tokyo Institute of Technology, Institute for Nuclear Research and Nuclear Energy Bulgarian Academy.

First simulations of FAZIA Napoli 3-5 September 2007.

N. Redon AW Uppsala July Proposal for a commissioning experiment with the AGATA Demonstrator Proposal for a commissioning experiment with the AGATA.

Design of the Photon Collimators for the ILC Positron Helical Undulator Adriana Bungau The University of Manchester Positron Source Meeting, July 2008.

SuperNEMO Simulations Darren Price University of Manchester July, 2005.

J.Vaitkus. WODEAN Workshop,13-15 May, 2010, Bucurest Photoresponse spectrum in differently irradiated and annealed Si Juozas Vaitkus Vilnius University,

In-beam performance of AGATA-DEMONSTRATOR Ideas for the firsts commissioning experiments of the AGATA-DEMONSTRATOR campaign at LNL-Legnaro F. Recchia INFN-LNL.

Quest for omega mesons by their radiative decay mode in √s=200 GeV A+A collisions at RHIC-PHENIX ~Why is it “Quest”?~ Simulation Study Real Data Analysis.

Athens, July 9, 2008 The two-step  cascade method as a tool for studying  -ray strength functions Milan Krtička.

Concept of the scanning table in Strasbourg François DIDIERJEAN Tatjana FAUL, Fabrice STEHLIN Strasbourg AGATA week July 2008 Uppsala, Sweden.

Track extrapolation to TOF with Kalman filter F. Pierella for the TOF-Offline Group INFN & Bologna University PPR Meeting, January 2003.

AGATA The Advanced Gamma Ray Tracking Array Ancillary Detector and Integration W.G. Status of the Working Group and Tasks A.Gadea.

Status and Plans of the Vienna ILD Software Group (a short update) Winfried Mitaroff ILD Software Web Meeting 26 May 2010.

PRESORT OF THE DATA OF THE COLOGNE TEST EXPERIMENT ● Quality and integrity of data ● Detector numbering and positions ● Calibrations and gain stability.

Gamma ray interaction with matter A) Primary interactions 1) Coherent scattering (Rayleigh scattering) 2) Incoherent scattering (Compton scattering) 3)

Shootout experiment GSFMA315 at a glance 122 Sn( 40 Ar[170MeV],4n) 158 Er 12 C( 84 Kr[394MeV],4n) 92 Mo GSGT 1:Mo,Tu 2:Tu,We,Th 3:Th,Fr 4:Sa High multiplicity.

Recent CHIPS implementations Mikhail Kosov, 12 th Geant4 Workshop (GB, Sept. 2007)

Tracking Background GRETINA Software Working Group Meeting September 21-22, 2012, NSCL MSU I-Yang Lee Lawrence Berkeley National Laboratory.

Background 2 Outline 3 Scopus publications 4 Goal and a signal model 5Harmonic signal parameters estimation.

Jan. 18, 2008 Hall C Meeting L. Yuan/Hampton U.. Outline HKS experimental goals HKS experimental setup Issues on spectrometer system calibration Calibration.

BESIII EMC Simulation & Reconstruction He Miao

2005 Unbinned Point Source Analysis Update Jim Braun IceCube Fall 2006 Collaboration Meeting.

Modification of Geant4 simulation Detailed crystal structures included reference materials real geometry.

1 CE 530 Molecular Simulation Lecture 21 Histogram Reweighting Methods David A. Kofke Department of Chemical Engineering SUNY Buffalo

Jet Studies at CDF Anwar Ahmad Bhatti The Rockefeller University CDF Collaboration DIS03 St. Petersburg Russia April 24,2003 Inclusive Jet Cross Section.

Chance Constrained Robust Energy Efficiency in Cognitive Radio Networks with Channel Uncertainty Yongjun Xu and Xiaohui Zhao College of Communication Engineering,

Charged Particle Multiplicity, Michele Rosin U. WisconsinQCD Meeting May 13, M. Rosin, D. Kçira, and A. Savin University of Wisconsin L. Shcheglova.

Radiation study of the TPC electronics Georgios Tsiledakis, GSI.

1 EMCAL Reconstruction in Pass pp 900 GeV 29/03/2010 Gustavo Conesa Balbastre.

1 Giuseppe G. Daquino 26 th January 2005 SoFTware Development for Experiments Group Physics Department, CERN Background radiation studies using Geant4.

A new approach for the gamma tracking clustering by the deterministic annealing method François Didierjean IPHC, Strasbourg.

Jet reconstruction with Deterministic Annealing Davide Perrino Dipartimento di Fisica – INFN di Bari Terzo Convegno Nazionale sulla Fisica di Alice – 13/11/2007.

A realistic simulation of the AGATA Demonstrator +PRISMA Spectrometer Elif INCE, Istanbul University 7 th AGATA Week, July 2008.

Forschungszentrum Karlsruhe Erice, 7th July th International School for Cosmic Rays Astrophysics Motivation Energy Reconstruction Air Fluorescence.

Study of the Differential Luminosity Spectrum Measurement using Bhabha Events in 350GeV WANG Sicheng 王思丞 Supervisor: André Sailer.

Neutron Gamma Discrimination in Agata Ay ş e Ataç Possibility of discriminating neutrons and gammas by tracking Identify the neutron interaction points.

Advanced Gamma Tracking Array Andy Boston The Advanced Gamma Tracking Array

Entry distributions for fragments produced in deep-inelastic collisions with stable and radioactive beams For the PARIS collaboration W. Królas, M. Kmiecik,

ICARUS T600: low energy electrons

A Study of Reverse MC and Space Charge Effect Simulation with Geant4

Geant4 Simulation of Test-Mass Charging in the LISA Mission

FAST IN-MEDIUM FRAGMENTATION OF PROJECTILE NUCLEI

Fine Structure and Finer Details

Jet reconstruction in ALICE using the EMCal

Determine protein structure from amino acid sequence

Isospin Symmetry test on the semimagic 44Cr

Homogeneity Guided Probabilistic Data Summaries for Analysis and Visualization of Large-Scale Data Sets Ohio State University (Shen) Problem: Existing.

Feeding of low-energy structures with different deformations by the GDR decay: the nuBall array coupled to PARIS M. Kmiecik, A. Maj, B. Fornal, P. Bednarczyk.

The Hadrontherapy Geant4 advanced example

G4GeneralParticleSource Class:

Axel T Brünger, Paul D Adams, Luke M Rice Structure

Simulations of the AGATA Response to Relativistic Heavy Ions Beams

AN ORIGINAL MODEL FOR THE SIMULATION OF LOW ENERGY ANTIPROTONS

Tryptophan - gas phase tautomer

Presentation transcript:

clustering : deterministic annealing filter (DAF) Gamma Tracking clustering : deterministic annealing filter (DAF) Last results François DIDIERJEAN Strasbourg AGATA week. 8 - 11 July 2008 Uppsala, Sweden

deterministic annealing filter (DAF) clustering method : deterministic annealing filter (DAF) Reminder global distortion : goal : to minimize the global distortion with the smaller number of clusters. By analogy with the statistical physics : introduce a Lagrange multiplier. Then, the free energy : F = D - TS The DAF method corresponds to minimize the Lagrangien F while lowering the system temperature. As the temperature is lowered, the system undergoes a sequence of phase transitions which consists of a natural split of the cluster in two parts (conducting to an increase of the cluster number).

The process stops when the system temperature, T, is smaller than Tmin The process stops when the system temperature, T, is smaller than Tmin. This stopping temperature is empirically determined and depends on the number of the data interaction points. Tmin = 1 E = 1 MeV Multiplicity : M5 Tmin = 0.1 Tmin = 0.01

fusion-evaporation reaction : high multiplicity Tmin is chosen in respect of the physics (a) Distribution of the number of interactions as a function of 1MeV -ray multiplicity. Search of the empirical stopping temperature : Fragmentation transfer reaction Coulomb excitation : low multiplicity deep inelastic fusion-evaporation reaction : high multiplicity Variation of the efficiency (b) and the peak-to-total ratio (c) as a function of the stopping temperature for different -ray multiplicities

Reconstructed spectra using the deterministic annealing filter and the forward tracking algorithm for different -ray multiplicities : (b) M = 1 (c) M = 2 (d) M = 30 Spectra of 1MeV  rays : Original spectrum obtained from the GEANT4 simulation (a).

E multiplicity  (%) P/T (%) Efficiency and peak-to-total ratio values calculated using the deterministic annealing filter clustering and the forward tracking algorithm for different -ray energies and different multiplicities. The values in brackets are obtained using the "cones" clustering method.

Simulated spectra of a rotational band of 30  rays in the 80 keV to 2690 keV energy region in steps of 90 keV. Original spectrum obtained from the GEANT4 simulation (a) and reconstructed spectra (b).

future prospects : 1. Comparison between the DAF and the "cone" methods for a set of energies and gamma multiplicities. 2. Test of the method with real data taken from the AGATA demonstrator. 3. Adaptation of the probabilistic tracking method to the spherical geometry of AGATA. 4. Application of the DAF method to the probabilistic tracking.