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Time-of-flight hadron identification from C+C at 2 A GeV
measured by the HADES spectrometer
Vladimír Pospíšil 1)
within diploma thesis Experimental study of relativistic nuclear collisions with di-lepton spectrometer HADES
supervisor of diploma work : Pavel Tlustý 2)
DST production : Kaliopi Kanaki 3)
G3 Simulation : Jehad Mousa 4)
1) 5. year student of Czech Technical Univerzity, Faculty of Nuclear Sciences and Physical Engineering, Prague
2) Czech Academy of Sciences, Nuclear Physics Institute, Řež 3) Institut für Kern– und Hadronenphysik,
Forsungszentrum Rossendorf, Germany 4) University of Cyprus, Department of Physics, Nicosia, Cyprus
The HADES spectrometer installed at GSI Darmstadt is devoted to study production of di–
electron pairs from proton– and pion–induced reactions and nucleus-nucleus collisions.
Extraction of rare lepton pairs in high hadron multiplicity events requires efficient particle
identification (PID). Hadrons are identified mostly by momentum and time–of–fligh
measurement. For all charged particles momentum is measured by a tracking system placed
before and after the toroidal magnet, and the TOF detector provides time of flight. The C+C
reaction at 2 A GeV has been recently studied, with the main aim to reconstruct the di–
electron signal from the decay of hadrons. Data obtained from this experiment are analyzed
at present.
The particle identification method is based on testing of hypothesis, that the reconstructed
track can be identified as a certain particle specie. In case of hadrons, the particle
momentum and velocity are used for the PID decision. For the PID probability calculation the
detector response has to be known. This is achieved by parametrization of the velocity
distribution of particles in each momentum bin of a suitable size. Probability density function
for each particle type is then counted and the Bayes theorem is applied for identification of
individual particles.
Hadron PID is main topic of diploma thesis of V. Pospíšil, 5. year student of Czech Technical
Univerzity, Faculty of Nuclear Science and Physical Engineering. Main aim of this poster is to
outline content of the diploma thesis and to show its progress achieved up to now.
•
Email contact : [email protected]
PID method
Each subdetector response on specific particle is given by the probability density
function : Pk( h | p, xk ) , where h is type of the particle, xk is measured variable and k
is index of the subdetector (k = TOF in this work).
As an example let`s take deuterons and protons with
p = 750 MeV/c. Their PDFs are gaussians with mean
at β = p/( m02c2 + p2)1/2 and wideness determined by
the detector accuracy.
Uknown particle with p = 750 MeV/c is identified as a
deuteron, if its measured x is less than xC. Probability
of misidentification of deuteron as a proton is


Xc

Xc

with momentum p = 750 MeV/c.
PID process
Distributions of velocities for
deuterons and protons
Experimental data by HADES
• Obtaining PDF and relative abundance parameters
Momentum vs. beta diagrams are taken from the DST files and projections on beta are
made for each momentum bin. Pojection are then fitted by the sum of the gaussians
and a background (simple quadratic function).
 h Ah
 ( p, h) 
  l Al
P ( x p, h) 

References : BABAR Barlow et al., www.slac.stanford.edu/BFROOT/www/Statistics/Report/report/pdf
STAR Fisyak, www.usatlas.bnl.gov/~fisyak//d0/photons/pure.ps
A.G.Frodesten, O. Skjeggestad, H. Tofe: Probability and Statistics in Particle Physics
P( x p, proton )
 ( x  h )2
z h  Ah  exp(
)
2
2 h
P( x p, h) (h)
~
P ( x p, h) 
 P( x p, ) ( )
where φ(h) is particle relative abundance function.
P( x p, deuteron )
prob. of confusion proton as a deutron is
PDFs of deuterons and protons
In experimental data there is not equal amounts of deuterons
and protons in each event. This fact is not considered by
normalized gauss functions, so also relative abundance
functions have to be created for each particle. If both
normalized PDFs and rel. abundance functions are known,
particle the identification could be achieved using the Bayes
theorem :
zh
2   h Ah
• C+C 2 AGeV exp. data was taken during november
2002 (200 mil. events, 56 mil. used in hadron PID).
• For low res. tracking used inner MDCs and
TOF/TOFino + SHOWER
• For high res. tracking were used inner and outer MDCs.
During nov02 experiment just two outer MDCs were
installed (sect. 1 and 4).
• Two metods of momentum reconstructing were used:
Kickplane (mg. field is replaced by bending plane) and
Spline (track is counted using Maxwell equations).
• δp  10% low resolution
• δp  ??% high resolution
Hadron PID progress
PDF parameters are evaluated at the moment. High resolution parameters are half–
completed (sectors 1. and 4. spline method are done).
Using the gaussian (zh) parameters, the PDFs and rel. abundance are easily counted.
This should be done for each HADES sector and for multiple azimutal angle regions
(because momentum resolution depends on azimutal angle). This task is done by
specialized ROOT macros.
• Identification of individual particles
Examples of taken PDF parameters. At these figures are μh, бh and number of particles (бhxAh)
of negative pions in azimutal angle region 50° - 55°, sector 1.
Particle identification is performed by HYDRA,
the ROOT based collection of libraries for
HADES simulation and analysis tasks. HYDRA
is presently developed, the libraries for high
momentum resolution analysis will be ready
soon.
Reference : www-hades.gsi.de
Near future activity
• PDF parameters for kickplane high resolution method have to be carried out, as same as
Screenshot of the macro which fits
projections and counts PDF parameters
for low resolution.
• All parameters have to be sorted into a file readable by HYDRA
• Identification of individual hadrons have to be performed
• Deadline of hadron PID is end of november 2004