Light-nuclei discrimination of the space telescope PAMELA
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Transcript of Light-nuclei discrimination of the space telescope PAMELA
Light-nuclei Light-nuclei discrimination discrimination
of the space of the space telescope telescope PAMELAPAMELA
Roberta SparvoliRoberta Sparvolifor the PAMELA Collaborationfor the PAMELA Collaboration
University of Rome Tor Vergata and INFNUniversity of Rome Tor Vergata and INFNRome (Italy)Rome (Italy)
20th ECRS – Lisbon (Portugal), 5 – 8 September 2006
Secondary/primary ratioSecondary/primary ratio
Particle Energy
Anti(p) 80 MeV – 190 GeV
e+ 50 MeV – 270 GeV
e- 50 MeV – 400 GeV
p 80 MeV – 700 GeV
(e-)+(e+) up to 2 TeV
NucleiZ<=8
100 MeV/n – 700 GeV/n
Anti(Z) ~ 10-8
PAMELA TM beam tests at GSI PAMELA TM beam tests at GSI 16/02/2006 --- 20/02/200616/02/2006 --- 20/02/2006
80 cm
TOF : 6 channels ADC and 6 channels TDC, same PAMELA flight electronics with different gainTracker without magnet
TOF system: single paddles of PAMELA TOF
S1 : 0.7 cm thickS2 : 0.5 cm thickS3 : 0.7 cm thick
TRACKER system: same silicon wafers of PAMELA
P1,P2,P3,P4,P5 :300 m double view
Ionization losses discrimination: Ionization losses discrimination: Tracker silicon layersTracker silicon layers
Z2Sav (
AD
C c
hannels
)
Sav (ADC channels) Saturation limit
We took the files obtained by fragmentation of the 1200 MeV/n 12C beam by means of the polyethilene target.
S1 Layer (ADC) S2 Layer (ADC) S3 Layer (ADC)
The tracker data are used to clean the data sample !
Ionization losses discrimination: Ionization losses discrimination: TOF scintillatorsTOF scintillators
Charge discrimination (I)Charge discrimination (I)
Z 2 0.27
3 0.29
4 0.19
5 0.13
6 0.12
Linearity plot “ADC channel % Z2 “
Time-Of-Flight InformationTime-Of-Flight InformationIf we add the time-of-flight information we increase our capability of particle recognition.
K1 and K2 can be derived by the instrumentsetup and by data collected at known .
Difference of sums:
The Bethe-Bloch reconstructionThe Bethe-Bloch reconstruction
Once obtained for every particle we can plot the energy deposit in one layer vs. and fit the different curves of different Z
Court
sey o
f IS
OM
AX
The fitting functions are superposition of 1/2 and log() behaviour.
Charge identification is then obtained by estrapolation from the fitted curves.
Fitting of curves f(Z)Fitting of curves f(Z)
To fit the curves from GSI test we have taken tha data sample of 12C at 200 MeV/n with poly target, recorded at an angle of 45°. In this way many slow protons at high deposit are triggered, and we can fit both Z=1 and Z=2 curves.
H
HeIncident 12C
Charge discrimination (II)Charge discrimination (II)
Z old new
2 0.27 0.14
3 0.29 0.09
4 0.19 0.11
5 0.13 0.09
6 0.12 0.04
We took the same data sample coming from fragmentation of the 12C beam at 1200 MeV/n, to compare the two methods. The charge resolution is evidently better, and the abundances results consistent.
Z=1 charge resolutionZ=1 charge resolutionWith the sample of data at 45° it is possible to fit also Z=1 peak.
Z 1 0.09
ConclusionsConclusions• Data collected at a beam test show the good
capabilities of PAMELA at recognizing light nuclei;
• Both information from energy loss alone and “energy loss + TOF” are used for charge recongition; in the second case the results are excellent;
• Parallel analysis from different detectors (TOF, tracker, calorimeter) can additionally improve the in-flight resolution;
• In addition, also isotope reconstruction will be perfomed in-flight, thank to the measurement of the particle rigidity;
• Flight data analysis is on-going.