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S254@GSI: Particle filtering in LAND
J. Brzychczyk, J. Cibor, Z. Majka, P. Pawłowski, A. WielochCracow
Filtering of charged hits using VETO detectorClustering hits – a way to obtain particle numbers on
eventbyevent basis107Sn vs. 124Sn – comparison
Conclusions
Piotr Pawłowski (2005)
S254@GSI: experimental setup
Piotr Pawłowski (2005)
S254@GSI: LAND detector
Piotr Pawłowski (2005)
Data reduction
Piotr Pawłowski (2005)
●Event selection ⇨Interaction trigger●Hit selection ⇨ Well Measured Hits (about 7%) :
➢ TDC1>0 & TDC2>0 & ADC1>0 & ADC2>0➢ Calibrated hit position in (110 cm ,110 cm) range.
➔We observe in LAND a large fraction (c.a. 30 %) of hits generated by charged particles.
➔In the first LAND plane this fraction achieves about 50 %.
➔The number of correlated hits is sensible for projectile isospin.
➔The charged particles can be partly identified in charge using ∆E vs. TOF map for VETO.
➔The charged particles do not disturb significantly the multiplicity vs total visible energy correlation.
Conclusions (October 2004)
Piotr Pawłowski (2005)
Z=2 Velocity(cm/ns)
0 5 10 15 20 25 30
∆E (M
eV)
0
20
40
60
80
100
120
140
Evis vs velocity
Charge identification in VETO
Z=1
Z=2
Piotr Pawłowski (2005)
Study of correlations between VETO and the first LAND plane
VETO LAND
0 1 2 3 4 5 6 7 8 9 10
xminx1−x0xmax
yminy1−y0ymax
tmint1−t0tmax
Hit correlation is defined by a coincidence in space and time:
Piotr Pawłowski (2005)
62,60%
Piotr Pawłowski (2005)
Cut 119 < ∆x < 19 (cm)19 < ∆y < 19 (cm)
1 < ∆t < 3 (ns)
Correlated hits in VETO107Sn
Uncorrelated hits:~37.4 % of total VETO hits.
62,60%5,90%
Piotr Pawłowski (2005)
Cut 230 < ∆x < 30 (cm)30 < ∆y < 30 (cm)
2 < ∆t < 4 (ns)
Cut 119 < ∆x < 19 (cm)19 < ∆y < 19 (cm)
1 < ∆t < 3 (ns)
Correlated hits in VETO107Sn
Uncorrelated hits:~31.5 % of total VETO hits.
62,60%5,90%
8,30%
Piotr Pawłowski (2005)
Correlated hits in VETO
Cut 119 < ∆x < 19 (cm)19 < ∆y < 19 (cm)
1 < ∆t < 3 (ns)
107Sn
Cut 37 < ∆t < 4 (ns)
Cut 230 < ∆x < 30 (cm)30 < ∆y < 30 (cm)
2 < ∆t < 4 (ns)
Uncorrelated hits:~23.3 % of total VETO hits.
Piotr Pawłowski (2005)
Isolated hits in VETO
Position X (cm)180 160 140 120 100 80 60 40 20 0 20
Posi
tion
Y (c
m)
100
80
60
40
20
0
20
40
60
80
100
0
20
40
60
80
100
120Sn107
Velocity (cm/ns)0 5 10 15 20 25 30
∆E
(MeV
)
0102030405060708090
100
Sn107
Edge effect
27%
Other charged particles
18%
8% Sixth paddle defect
62,64%5,86%
8,29%
8,00%
2,37%
4,23%4,00%
Piotr Pawłowski (2005)
Statistics for VETO hits
Edge effect
107Sn
Other charged particles
Sixth paddle defect
Dead areas between paddles
Correlated hits: ~ 77%Isolated hits: ~18%Unidentified hits: ~ 5 %
Cut 1
Cut 2
Cut 3
Recursive procedure for correlated hits identification
VETO LAND
0 1 2 3 4 5 6 7 8 9 10
xminx i−x i−1xmax
yminyi−yi−1ymax
tmint i−t i−1tmax
i=1,10
Hit correlation in two neighboring planes, i and i1, is defined by a coincidence in space and time:
For each correlated hit one searches correlations in next plane.
Piotr Pawłowski (2005)
Piotr Pawłowski (2005)
Charged hits in LANDCut 1
19 < ∆x < 19 (cm)19 < ∆y < 19 (cm)
1 < ∆t < 3 (ns)
Cut 2*30 < ∆x < 30 (cm)30 < ∆y < 30 (cm)
2 < ∆t < 4 (ns)
Cut 37 < ∆t < 4 (ns)
Maximum:All hits correlated with VETO
using cuts 1, 2 and 3 applied sequently.
Minimum:All hits correlated with VETO using the cut 1. Only one correlated hit per
plane is allowed.
*) Only for correlation between VETO and first LAND plane. For others we use cut 1.
Piotr Pawłowski (2005)
Proton range in LAND
Velocity (cm/ns)10 15 20 25
Ran
ge (
plan
e nu
mbe
r)
0
1
2
3
4
5
6
7
8
9
10beam
For each hit in VETO a maximal range is calculated. No correlation is accepted out of this limit. The maximal
range for charged particles is set to 5 land planes.
Piotr Pawłowski (2005)
Clustering hitsCorrelated hits are clustered to obtain an eventbyevent estimation
of particle number. All properties of a particle are determined by the first hit in a cluster.
VETO LAND
Neutron
Charged particleProcedure “1”
maximize number of charged particles and minimize
number of neutrons
Procedure “1” minimize number of charged
particles and maximize number of neutrons
Procedure “0”Something in between
Piotr Pawłowski (2005)
Clustering hits procedures
16%
24%
8%
2%
30%VETO (1)*
VETO (2)*
VETO (3)*
LAND (1)*
1
LAND (3)*
20%
30%
28%VETO (1)
LAND (1)*
1
42%
10%
3%
29%
2%
28%VETO (1)
VETO (2)
VETO (3)
LAND (1)*
LAND (3)*
0
28%
SINGLE HITS*) Multiple hits per plane allowed
Piotr Pawłowski (2005)
Comparison 107Sn vs. 124Sn
107Sn: 50 protons and 57 neutrons124Sn: 50 protons and 74 neutrons
To check correctness of our procedures we compare results from 107Sn and 124Sn
We expect similar results in both systems for:number of proton hits per eventnumber of protons per event
For neutrons we expect results scaled by neutron number ratio in both systems, at least in the vaporisation limit.
Piotr Pawłowski (2005)
Results
Plane0 1 2 3 4 5 6 7 8 9 10
Plane0 1 2 3 4 5 6 7 8 9 10
Coun
ts/E
vent
0.20.4
0.60.8
11.21.4
1.61.8
22.2
Hit plane distribution
Sn124
Sn107
Charged
All hits
Hit plane distribution
Piotr Pawłowski (2005)
Results
Plane0 1 2 3 4 5 6 7 8 9 10
Plane0 1 2 3 4 5 6 7 8 9 10
(Sn1
07)
σ(S
n124
)/σ
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
2Sn107Sn vs. 124Comparison: Sn107Sn vs. 124Comparison:
Surprise!
50505774
Charged
Uncharged
Piotr Pawłowski (2005)
Results
Hit charge0 1 2
Hit charge0 1 2
Coun
ts/E
vent
0
1
2
3
4
5
6
7
8
9
Hit charge distribution
Sn124
Sn107
Ratio=1.59
Hit charge distribution
Piotr Pawłowski (2005)
Results
Particle charge0 1 2
Particle charge0 1 2
Coun
ts/E
vent
0
1
2
3
4
5
6
Particle charge distribution
Sn124
Sn107
Ratio=1.48
Particle charge distribution
Piotr Pawłowski (2005)
Comparison with S114 experiment
Evis (MeV)0 100 200 300 400 500 600 700 800 900 1000
Evis (MeV)0 100 200 300 400 500 600 700 800 900 1000
Neu
tron
hit n
umbe
r0
5
10
15
20
25
30
Mean neutron hit number vs Evis
Sn124
Sn107
Mean neutron hit number vs Evis
We have larger energy per hit !
Erik Zude “Masse und Anregungsenergie von Projektilrestkernen im System 600 A MeV Au+Au”, Ph.D. Thesis, Frankfurt (1995).
Piotr Pawłowski (2005)
Comparison with S114 experiment
Erik Zude “Masse und Anregungsenergie von Projektilrestkernen im System 600 A MeV Au+Au”, Ph.D. Thesis, Frankfurt (1995).
Neutron hit number0 5 10 15 20 25 30 Neutron hit number0 5 10 15 20 25 30 M
ean
Neut
ron
num
ber
02468
101214161820
Sn124
Sn107
Mean neutron number vs hit number
We have less hits per neutron !
Piotr Pawłowski (2005)
Neutron number0 2 4 6 8 10 12 14 16 18 20 Neutron number0 2 4 6 8 10 12 14 16 18 20 E
vis
(MeV
)0
100200300400500600700800900
1000Mean visible energy vs Neutron number
Sn124
Sn107
Mean visible energy vs neutron number
Comparison with S114 experiment
We have less energy per neutron !
~50MeV/neutron
~36MeV/neutron
Erik Zude “Masse und Anregungsenergie von Projektilrestkernen im System 600 A MeV Au+Au”, Ph.D. Thesis, Frankfurt (1995).
Piotr Pawłowski (2005)
Results
Particle Velocity (cm/ns)0 5 10 15 20 25 30
Particle Velocity (cm/ns)0 5 10 15 20 25 30
Coun
ts/E
vent
410
310
210
110
1
Particle velocity distribution
Sn124
Sn107Neutrons
Particle velocity distribution
Surprise!
Z=2
Z=1
Piotr Pawłowski (2005)
Results
Velocity (cm/ns)0 5 10 15 20 25 30
Velocity (cm/ns)0 5 10 15 20 25 30
(Sn1
07)
σ(S
n124
)/σ
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
2Sn107Sn vs. 124Comparison:
neutrons
protons
Sn107Sn vs. 124Comparison:
5774
5050
Piotr Pawłowski (2005)
Results
Velocity (cm/ns)0 5 10 15 20 25 30
Velocity (cm/ns)0 5 10 15 20 25 30
Neut
rons
/Pro
tons
1
2
3
4
5
6
7
8
9
10Sn107Sn vs. 124Comparison:
Sn124
Sn107
Sn107Sn vs. 124Comparison:
Piotr Pawłowski (2005)
Land data vs Zmax
Zmax0 10 20 30 40 50
Zmax0 10 20 30 40 50
Neut
ron
Hit N
umbe
r
4
6
8
10
12
Neutron Hit Number vs Zmax
Sn124
Sn107
Neutron Hit Number vs Zmax
Zmax0 10 20 30 40 50
Zmax0 10 20 30 40 50
Neut
ron
Num
ber
2
3
4
5
6
7
8
9
Neutron Number vs Zmax
Sn124
Sn107
Neutron Number vs Zmax
Zmax0 10 20 30 40 50
Zmax0 10 20 30 40 50
Neut
ron
Evis
50
100
150
200
250
Neutron Evis vs Zmax
Sn124
Sn107
Neutron Evis vs Zmax
Zmax0 5 10 15 20 25 30 35 40 45 500 5 10 15 20 25 30 35 40 45 50
(Sn1
07)
σ(S
n124
)/σ
0
0.5
1
1.5
2
2.5
3
3.5
4HitsClustersEvis
Sn107Sn vs 124Comparison Sn107Sn vs 124Comparison
5774
Zbound0 5 10 15 20 25 30 35 40 45 500 5 10 15 20 25 30 35 40 45 50
(Sn1
07)
σ(S
n124
)/σ
0
0.5
1
1.5
2
2.5
3
3.5
4HitsClustersEvis
Sn107Sn vs 124Comparison Sn107Sn vs 124Comparison
Piotr Pawłowski (2005)
Land data vs Zbound
5774
Zbound0 10 20 30 40 500 10 20 30 40 50
Neut
ron
Hit N
umbe
r
0
2
4
6
8
10
12 Sn124
Sn107
Neutron Hit Number vs ZboundNeutron Hit Number vs Zbound
Zbound0 10 20 30 40 500 10 20 30 40 50
Neut
ron
Num
ber
0
1
2
3
4
5
6
7
8Sn124
Sn107
Neutron Number vs ZboundNeutron Number vs Zbound
Zbound0 10 20 30 40 500 10 20 30 40 50
Neut
ron
Evis
0
50
100
150
200
250
Neutron Evis vs Zbound
Sn124
Sn107
Neutron Evis vs Zbound
Piotr Pawłowski (2005)
Friend tree for LAND dataGlobal variables
class LandEvent: public TAGdata{public:Int_t Nhit; // Total number of valid hitsFloat_t Evis; // Total visible energy
Int_t NeutHitMin; // Min. number of neutron hitsInt_t NeutHitAve; // Ave. number of neutron hitsInt_t NeutHitMax; // Max. number of neutron hits
Int_t NeutNumMin; // Min. number of neutronsInt_t NeutNumAve; // Ave. number of neutronsInt_t NeutNumMax; // Max. number of neutrons
Float_t NeutEvisMin; // Min. neutron visible energyFloat_t NeutEvisAve; // Ave. neutron visible energyFloat_t NeutEvisMax; // Max. neutron visible energy
TClonesArray *Hit; //> Hit table};
Piotr Pawłowski (2005)
Friend tree for LAND dataHit variables
class LandHit: public TObject{public:Int_t ID; // Hit identifierFloat_t Time; // Hit time in [ns]Float_t X, Y, Z; // Hit position in [cm]Float_t Evis; // Hit visible energy in [MeV]UShort_t info; // Hit description};
16 15 14 13 12 11 10 9 8 7 6 5 4 3 2 11 0 1101
Hit chargeParticlePlane number
Piotr Pawłowski (2005)
Friend tree for LAND dataUseful global methodes
Int_t LandEvent::GetNhit(Int_t Type = 0, Int_t Charge = 0);//Returns the number of hits of charge ”Charge” //selected by the procedure “Type”
Int_t LandEvent::GetNpart(Int_t Type = 0, Int_t Charge = 0);//Returns the number of particles of charge ”Charge” //selected by the procedure “Type”
Float_t LandEvent::GetEvis(Int_t Type = 0, Int_t Charge = 0);//Returns total visible energy generated by particles //of charge “Charge” selected by the procedure “Type”
Type = 1, 0, 1Charge = 0, 1, 2
Piotr Pawłowski (2005)
Friend tree for LAND dataUseful hit methodes
Int_t LandHit::Plane();// Returns LAND plane number for a hit; 0 for VETO
Bool_t LandHit::Particle(Int_t Type = 0); // Returns 1 if a hit is the leading hit (in procedure “Type”)
Int_t LandHit::Charge(Int_t Type = 0); // Returns hit charge attributed by procedure “Type”
TVector3 LandHit::Position(); // Returns hit position in form of TVector3;
Float_t LandHit::Theta(); // Returns hit theta angle in degrees
Float_t LandHit::Phi(); // Returns hit phi angle in degrees
Float_t LandHit::Velocity(); // Returns hit velocity in cm/ns
Piotr Pawłowski (2005)
SummaryCharged particle hits were filtered using analysis of correlations between hits of VETO and hits detected in LAND.Three methods for hit clustering were proposed to obtain an estimation of minimum, maximum and mean neutron hit numbers in LAND. The clustering method provides also an estimation of neutron number on eventbyevent basis, as an alternative for other estimators, like total hit number or total visible energy.All three estimators give similar results when one studies cross section ratios from 107Sn and 124Sn reactions.Velocity spectrum for clustered neutrons exhibits two components. The lowvelocity component is similar to that of protons, independently of reaction.