D ?K-p p :reconstruction and perspectives for the measurement of the elliptic flow - PowerPoint PPT Presentation

About This Presentation
Title:

D ?K-p p :reconstruction and perspectives for the measurement of the elliptic flow

Description:

BLACK: signal (Kpp from D ) RED: BKG (Kpp combinatorics) s (cm) Elena Bruna. 5 ... Feed-down from beauty. D from B are more displaced ... – PowerPoint PPT presentation

Number of Views:31
Avg rating:3.0/5.0
Slides: 28
Provided by: Ele954
Category:

less

Transcript and Presenter's Notes

Title: D ?K-p p :reconstruction and perspectives for the measurement of the elliptic flow


1
D?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
2
Outline
  • 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

3
Selection 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

4
Selection 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)
5
Selection 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)
6
Selection 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)
7
Results 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

8
Results 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)

9
Results 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

10
Results D?K-pp in pp (2)
  • Selection efficiency and pT spectra
  • Selection efficiency (pT integrated) e 4 (NO
    PID)

11
Results 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
12
Studies 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

13
Invariant 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
14
Systematic 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

15
Cut 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
16
Cut 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
17
Perspectives 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.

18
v2 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
19
Summary
  • 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

20
Backup slides
21
Initial Nsel statistics (vs dprim-sec)
2ltpTlt3 GeV/c
0ltpTlt2 GeV/c
3ltpTlt5 GeV/c
pTgt5 GeV/c
22
Initial Nsel statistics (vs cosqpoint)
0ltpTlt2 GeV/c
2ltpTlt3 GeV/c
3ltpTlt5 GeV/c
pTgt5 GeV/c
23
Initial Bkg statistics with M-Minvlt1s (vs d)
2ltpTlt3 GeV/c
0ltpTlt2 GeV/c
3ltpTlt5 GeV/c
pTgt5 GeV/c
24
Results 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
25
Results 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

26
Systematic 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

27
Feed-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
Write a Comment
User Comments (0)
About PowerShow.com