Title: D ?K-p p :reconstruction and perspectives for the measurement of the elliptic flow
1D?K-ppreconstruction and perspectives for the
measurement of the elliptic flow
- Elena Bruna
- University of Torino
Terzo Convegno Nazionale sulla Fisica di Alice,
12-14 Nov 2007
2Outline
- Exclusive reconstruction of D ? K-p p in
Pb-Pb and pp collisions - Selection strategy
- Results
- pp Results with more statistics w.r.t. previous
analysis - pp A look at the systematic errors due to the
selection procedure - cut variables considered distance
primary-secondary vertices, cosqpoint - Perspectives for the measurement of D azimuthal
distribution in Pb-Pb
3Selection strategy (1/4)
- Cuts on single tracks ( pT, d0rf )
- In Pb-Pb reduce the combinatorial background from
109 to 106 triplets per event keeping 7 of the
signal - pT cut different for K and p (identified by the
charge sign D?K-pp) - Cuts on Kp candidate pairs
- K and p have opposite charge sign
- Cut on the distance d between the vertex of the 2
tracks and the primary vertex
4Selection strategy (2/4)
- Cuts on Kpp candidate triplets of tracks
- selection based on the products of impact
parameters of the two Kp pairs ? 25 of BKG
triplets rejected, all signal kept - Cuts on the secondary vertex quality
BLACK signal (Kpp from D) RED BKG (Kpp
combinatorics)
BLACK signal (Kpp from D) RED BKG (Kpp
combinatorics)
s (cm)
5Selection strategy (3/4)
- Four selection variables
- Distance between primary and secondary vertex
(dPS) - cosqpoint
- Sum of squared impact parameters s
d012d022d032 - Max. pT among the 3 tracks pMMaxpT1,pT2,pT3
BKG
cosqpoint
SIG
d PS(mm)
6Selection strategy (4/4)
- n-dimensional matrix procedure (n4), i.e. one
dimension for each cut variable (dPS, pM,
cosqpoint, s) - Fill matrices Sijkl (signal) and Bijkl
(background) - Each cell ijkl contains the number of triplets
passing the set of cuts - dPS gt cuti AND pM gt cutj AND cosqpoint
gtcutk AND s gt cutl
cosqpointCUT
Significance S/?(SB) for 2ltpTlt3
GeV/c (normalized to 107 PbPb events)
- Advantages
- Global maximization
- Easy to add new selection variables
d CUT(mm)
7Results D?K-pp in Pb-Pb (1)
- Significance S/vSB (normalized to 107 ev.) vs pT
- Relative statistical error (sS/S 1/vS) on D vs
pT (in 107 ev.) - S/ev10-3 , B/ev 10-4
8Results D?K-pp in Pb-Pb (2)
- Selection efficiency and pT spectra
- pT integrated e (D) 1.5 (Ideal PID), 0.6
(Real PID), 1 (no PID)
9Results D?K-pp in pp (1)
- Signal statistics improved by a factor 2 w.r.t.
previous analysis - Significance and relative statistical error vs.
D pT - S/ev5 10-6 , B/ev 5 10-6
- Significance and relative statistical error
(1/?S) normalized to 109 pp Minimum Bias events
10Results D?K-pp in pp (2)
- Selection efficiency and pT spectra
- Selection efficiency (pT integrated) e 4 (NO
PID)
11Results Pb-Pb vs pp
(PID)
(no PID)
- sS/S the same for Pb-Pb and pp for 2ltpTlt8 GeV/c
(PID)
(no PID)
S/vSB in one year
12Studies on D Invariant Mass
- Signal Inv. Mass distribution fitted with a
Gaussian function, in different D pT ranges - Signal normalized to 109 pp randomly generated
according to a Gaussian function - The same for the Bkg triplets, but a polinomial
function was used
13Invariant mass distributions
Statistics enhanced in order to match 1 year of
data taking
2ltpTlt3 GeV/c
0ltpTlt2 GeV/c
pTgt5 GeV/c
3ltpTlt5 GeV/c
14Systematic errors on pp events
- Two samples of events
- 1) pp MB (85) pp with charm (14) and beauty
(1) events with c?D?Kpp (divided in 4
subsamples of pThard) - extract the D number with Gaussian fit to the
invariant mass distribution Nsel - 2) only events with c?D?Kpp (divided in 4
subsamples of pThard) - extract the selection efficiency e
- D reconstructed NrecNsel/e
- Nrec calculated for different values of the cut
variables
15Cut on dprim-sec
Nsel vs d (norm to 109)
COUNT From FIT
2ltpTlt3 GeV/c
Nrec vs d (norm to 109)
COUNT From FIT
e vs d
16Cut on cosqpoint
Nsel vs cosqpoint (norm to 109)
COUNT From FIT
2ltpTlt3 GeV/c
Nrec vs cosqpoint (norm to 109)
COUNT From FIT
e vs cosqpoint
17Perspectives for D elliptic flow
- GOAL Evaluate the statistical error bars for
measurements of v2 for D mesons reconstructed
from their Kpp decay in Pb-Pb collisions - v2 vs. centrality (bcollision impact parameter)
- v2 vs. pT in different centrality bins
- HOW fast simulation to generate
- ND (DpT,Db) with an angular distribution
- dND/dj v2D,in cos 2(j-YRP)
- For each D an event made of Ntracks is
superimposed - dN/dj v2ev,in cos 2(j-YRP)
- Inputs of the simulation ND (DpT,Db) , v2D,in,
Ntracks ,v2ev,in - Outputs v2D measured.
18v2 vs. pT
6ltblt9 fm
- Large stat. errors on v2 of
- D ? Kpp in 2107 MB events
- How to increase the statistics?
- Sum D0?Kp and D?Kpp
- Sufficient for v2 vs. centrality
- Semi-peripheral trigger
- v2 vs. pT that would be obtained
- from 2107 semi-peripheral
- events (e.g. 6ltblt9 fm)
MB trigger
Semi-peripheral trigger
19Summary
- D in PbPb and in pp
- The results show that the D ? K-pp analysis in
Pb-Pb and pp is feasible with a pretty good
Significance. - The selection strategy based on n-dimensional
matrices has been developed. - Recent updates
- Significance in pp improved with enhanced
statistics - Invariant mass studies give the expected spectra
in 1 year of data taking - No evident systematic error on the selection
procedure from a first look more statistics
needed - D v2
- Large stat. errors on v2 of D ? Kpp in 2107 MB
events - How to increase the statistics?
- Sum D0?Kp and D?Kpp
- Semi-peripheral trigger
- Under study the methods for background subtraction
20Backup slides
21Initial Nsel statistics (vs dprim-sec)
2ltpTlt3 GeV/c
0ltpTlt2 GeV/c
3ltpTlt5 GeV/c
pTgt5 GeV/c
22Initial Nsel statistics (vs cosqpoint)
0ltpTlt2 GeV/c
2ltpTlt3 GeV/c
3ltpTlt5 GeV/c
pTgt5 GeV/c
23Initial Bkg statistics with M-Minvlt1s (vs d)
2ltpTlt3 GeV/c
0ltpTlt2 GeV/c
3ltpTlt5 GeV/c
pTgt5 GeV/c
24Results from RHIC
- The Non-Photonic electrons RAA shows interesting
results - Suppression is very large when compared to the
expectation from radiative energy loss - Other possible mechanisms?
- Collisional EL, resonances, in medium
fragmentation - First hint of strong charm v2 for pTlt2 GeV/c
- Very important, need to disentangle charm from
bottom
PHENIX nucl-ex/0611018 STAR nucl-ex/0607012
25Results scaled to a lower multiplicity scenario
for Pb-Pb
- Results presented so far for Pb-Pb based on
dNch/dy6000 - Ntracks7000
- BKG/evN(N-1)(N-2)/3! 6x1010
- Extrapolations from RHIC results seem to favour a
lower multiplicity scenario, dNch/dy2000 - Ntracks7000/3 2300
- BKG/ev 2x109
- Lets consider the D pT interval 0ltpTlt2 GeV/c
- The results in the highest multiplicity scenario
(dNch/dy6000) are not satisfactory - BKG/ev is downscaled by a factor 30
- SIG/ev not rescaled
- S/vSB (normalized to 107 ev.) 10 in case of
Real PID it is possible the study of the low-pT
spectra
26Systematic uncertainities on D measurements
- Acceptance, reconstruction and particle
identification efficiencies (10) - Centrality selection (7)
- Parameters of the Woods-Saxon profile and nuclear
density (5) - Nucleon-nucleon inelastic cross section (5)
- Branching ratio D?K-pp (3.6)
- Feed-down from beauty
- Nc?D ND - Nb?B ? D
- Contamination
- K Nb?B ? D/ Nc?D 4
27Feed-down from beauty
- D from B are more displaced
- The cut on distance between primary to secondary
vertex increases the fraction of selected D
coming from B decay
Contamination K vs d
d1000mm ? K 10
Histograms normalized to the same area