Perspectives for the measurement of Ds mesons via the Ds
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Transcript Perspectives for the measurement of Ds mesons via the Ds
Analysis of the
D+s K+K -π+ channel in the
ALICE experiment
(4050 m. asl)
Serhiy Senyukov
Università & INFN di Torino
29/08/2008
ALICE Italia 2008
1
Open charm and QGP
π
D0
A
K
c
c-
QGP
π
Ds
A
K
K
Primary
production
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Interaction with
QGP
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Decay of
D mesons
Detection
of
products
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Results for D0 and D+
Pb-Pb @ 5.5TeV
p-p @ 14 TeV
2<pT<3 GeV/c
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Why Ds?
Question:
We know that D0 and D+ can be reconstructed with high
significance. Why do we need also Ds?
Answer:
1. To measure charm yield more precisely we need to
measure as many channels as we can
2. Study of different ways of hadronization:
• String fragmentation:
Ds+ (cs) / D+ (cd) ~ 0.6
it should be easier to take a light meson from a
vacuum than the strange one
• Recombination:
Ds+ (cs) / D+ (cd) ~ N(s)/N(d) (~ 1 at LHC?)
recombination occurs inside the medium.
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Inner Tracking
System:
ALICE setup
Vertexing,
Tracking,PID
Time Projection
Chamber:
Tracking, PID
Time-of-Flight
detector:
PID
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DsKKp
Selection strategy
invariant-mass analysis of fullyreconstructed topologies
originating from displaced
vertices
build triplets of tracks with
correct combination of charge
signs and large impact
parameters
particle identification to tag the
decay products
calculate the vertex (DCA point)
of the tracks
good pointing of reconstructed D
momentum to the primary vertex
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Ds flight line
p
Primary Vertex
K
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Secondary vertex
K
Ds vs. D+ & D0
D0
D+
Ds
Combinations *
106 pairs
109 triplets
108 triplets
cτ
123 μm
312 μm
150 μm
Hadronic
branching ratio
3.8%
9.2%
4.3%
Abundance**
30
9
5
* - without cuts, with Ideal PID at dη/dy=6000
** - PbPb (0-5% central), NLO pQCD + Binary Scaling + EKS98, in central acceptance
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Cut tuning scheme
o
Signal – 2500 PYTHIA events
with full simulation each
containing 9100* Ds generated in
the barrel acceptance
(-0.9<η<0.9) forced to decay into
hadronic channels:
o
o
o
D+sK+K0*K+K -π+
D+sφπ+K+K-π+
Signal events
Background
events
Cuts alghoritms
Cuts alghoritms
Normalization to
107 events
Normalization to
107 events
Background – 15000 HIJING
(Number of signal is negligible)
o
Significance – calculated with
respect to 107 central events (1
year)
* Number is tuned in order to have the same
performance of the detector as in BKG event
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Significance calculation
Signif=S/(S+B)1/2
Significance
normalized
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Single track selection
3 variables:
•
Pt(K) – Transverse
momentum of Kaon*
•
Pt(π) – Transverse
momentum of Pion*
•
d0 – impact parameter of
track
Cut: Pt>0.5 GeV/c
Cut: Pt>0.5 GeV/c
Cut: d0>35 μm
Before cuts
After cuts
Pt of Ds (GeV/c)
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* Ideal PID is assumed
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Pt of Ds (GeV/c)
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Combining tracks to pairs
•
•
•
Single tracks are combined to pairs with opposite sign (K+K- & K+π-) or
(K-K+ & K-π+)
Crossing point is found using vertexing algorithm
Two values are calculated:
2
•
•
First cut is made on dispersion: σ<300 μm
Second cut is made on the distance: d(pair)<300 μm
2
2
2
2
– Dispersion of tracks around the cross-point: ( xk xo ) ( yk yo ) ( zk zo )
k 1
– Distance from cross-point to primary vertex
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Triplet selection
• Triplet of 3 tracks is
formed
• Secondary vertex is
calculated
• Dispersion of tracks
around the vertex is found
• Cuts are tuned in for Pt
bins:
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Resonances separation
• Ds decays via resonances
• Calculation of Inv Mass for KK and Kπ pairs
Inv Mass (Kπ)
Inv Mass (Kπ)
• Accept triplet if
|M(KK)-m(φ)|<Δm1 OR |M(Kπ)-m(K0*)|<Δm2
Inv Mass (KK)
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Inv Mass (KK)
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Final multicut
Variables considered:
1.
Cos Θpoint
2.
Cos Φopening
3.
Distance between primary and secondary vertex
4.
Sum of impact parameters squared
5.
Dispersion of secondary vertex (additional tuning)
π+
D +s
Θpoint
Pt(Ds)
Φopening
K+
K-
Cos Point
φ-like BKG
Signal Ds via φ
Cos Opening
Signal Ds via
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K0*-like BKG
K0*
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Results for Ideal PID
φ
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K0*
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Conclusion and To-Do
• Monte-Carlo simulation shows that reconstruction of the DsKKπ
is feasible in the range of Pt down to 3 GeV/c.
3-5 GeV/c >5 GeV/c
φ channel
5.1±0.4
19±5
K0*
channel
2.0±0.7
9±3
• Study of Real PID is in progress. Reduction of significance by factor
of ~2 is expected
• Bigger statistics for background events is needed to reduce the
error and better tuning of cuts.
• Case of pp collisions is under study. Some preliminary results without
multicut are present.
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