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我们在ALICE测量的中心性类别中,以sNN = 5.02 TeV表示Pb-Pb碰撞中的带电粒子伪快速密度。 该测量涵盖了从3.53.5到5的较大伪快速范围,足以可靠地估计碰撞中产生的带电粒子总数。 对于最中心的碰撞(0到5%),我们发现21400±1300,而对于最外围的碰撞(80到90%),我们发现230±38。 这对应于(27±4)%超过ALICE先前报告的sNN = 2.76 TeV的结果。 发现在重离子碰撞中产生的带电粒子总数与能量有关,符合行为的修正幂律。 将最中心碰撞的带电粒子假快速密度与模型计算进行比较,但都无法完全描述所测得的分布。 我们还提出了带电粒子的速度密度的估计。 发现该分布的宽度与光束速度具有显着的比例关系,而与从顶部SPS能量到LHC能量的碰撞能量无关。
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Physics Letters B 772 (2017) 567–577
Contents lists available at ScienceDirect
Physics Letters B
www.elsevier.com/locate/physletb
Centrality dependence of the pseudorapidity density distribution for
charged particles in Pb–Pb collisions at
√
s
NN
= 5.02 TeV
.ALICE Collaboration
a r t i c l e i n f o a b s t r a c t
Article history:
Received
9 January 2017
Received
in revised form 19 June 2017
Accepted
9 July 2017
Available
online 14 July 2017
Editor:
L. Rolandi
We present the charged-particle pseudorapidity density in Pb–Pb collisions at
√
s
NN
= 5.02 TeV in
centrality classes measured by ALICE. The measurement covers a wide pseudorapidity range from −3.5
to
5, which is sufficient for reliable estimates of the total number of charged particles produced in the
collisions. For the most central (0–5%) collisions we find 21 400 ± 1 300, while for the most peripheral
(80–90%) we find 230 ± 38. This corresponds to an increase of (27 ± 4)%over the results at
√
s
NN
=
2.76 TeV previously reported by ALICE. The energy dependence of the total number of charged particles
produced in heavy-ion collisions is found to obey a modified power-law like behaviour. The charged-
particle
pseudorapidity density of the most central collisions is compared to model calculations — none
of which fully describes the measured distribution. We also present an estimate of the rapidity density
of charged particles. The width of that distribution is found to exhibit a remarkable proportionality to
the beam rapidity, independent of the collision energy from the top SPS to LHC energies.
© 2017 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license
(http://creativecommons.org/licenses/by/4.0/). Funded by SCOAP
3
.
1. Introduction
In ultra-relativistic heavy-ion collisions a dense and hot phase
of nuclear matter is created [1–4]. This phase of QCD matter is
considered to be a plasma of strongly interacting quarks and glu-
ons
and is therefore labelled the sQGP [5]. The multiplicity of
primary, charged particles produced in heavy-ion collisions is a
key observable to characterise the properties of the matter created
in these collisions [6]. The study of the primary charged-particle
pseudorapidity density (dN
ch
/dη) over a wide pseudorapidity (η)
range and its dependence on colliding system, centre-of-mass en-
ergy,
and collision geometry is important to understand the rela-
tive
contributions to particle production from hard scatterings and
soft processes, and may provide insight into the partonic structure
of the interacting nuclei.
We havepreviously reported measurementson primary charged-
particle
pseudorapidity densities over a wide pseudorapidity range
in Pb–Pb collisions at the centre-of-mass energy per nucleon pair
√
s
NN
= 2.76 TeV [7]. In this Letter, we study these distributions in
the pseudorapidity interval from −3.5to 5at a collision energy of
√
s
NN
= 5.02 TeV as a function of the centrality. Pseudorapidity is
defined as η ≡− log(tan(ϑ/2)), where ϑ is the angle between the
charged-particle trajectory and the beam axis (z-axis). Nuclei are
extended objects, and their collisions can be characterised by cen-
trality
— the experimental proxy for the un-measurable distance
E-mail address: alice-publications@cern.ch.
between the centres of the colliding nuclei (impact parameter).
Aprimary particle is a particle with a mean proper lifetime τ
larger than 1cm/c, which is either a) produced directly in the
interaction, or b) from decays of particles with τ smaller than
1cm/c, restricted to decay chains leading to the interaction [8]. In
this Letter, all quantities reported are for primary charged parti-
cles,
though we will omit “primary” for brevity.
With the large pseudorapidity coverage available in ALICE, we
can reliably estimate, for all centrality classes, the total number
of charged particles produced in the collisions. We therefore also
present the first measurement of the total charged-particle multi-
plicity
in Pb–Pb collisions at
√
s
NN
= 5.02 TeV as a function of the
number of nucleons participating in the collisions (N
part
).
Finally, we transform the measured dN
ch
/dη distribution for
the 5% most central collisions into charged-particle rapidity density
(dN
ch
/dy), and we examine the centre-of-mass energy dependence
of the width of that distribution. The rapidity (y) of a particle
with energy E and momentum component p
z
along the beam axis
is defined as y ≡
1
2
log
(
[
E + p
z
]/[E − p
z
]
)
. The comparison of the
width of the dN
ch
/dy at different collision energies provides an
insight into the constraints on the overall production mechanism
of charged particles.
2. Experimental setup
A detailed description of ALICE and its performance can be
found elsewhere [9,10]. In the following, we briefly describe the
detectors relevant to this analysis.
http://dx.doi.org/10.1016/j.physletb.2017.07.017
0370-2693/
© 2017 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). Funded by
SCOAP
3
.
568 ALICE Collaboration / Physics Letters B 772 (2017) 567–577
The Silicon Pixel Detector (SPD), the innermost part of the Inner
Tracking System (ITS), consists of two cylindrical layers of hybrid
silicon pixel assemblies covering |η| < 2 and |η| < 1.4for the inner
and outer layers, respectively. Combinations of hits on each of the
two layers consistent with tracks originating from the interaction
point form tracklets.
The
Forward Multiplicity Detector (FMD) is a silicon strip detec-
tor
which, records the energy deposited by particles traversing the
it. The detector covers the pseudorapidity regions −3.5 < η < −1.8
and
1.8 < η < 5, and has almost full coverage in azimuth (ϕ), and
high granularity in the radial (η) direction.
The
third detector system used in this analysis is the V0. It
consists of two sub-detectors: V0-A and V0-C covering the pseudo-
rapidity
regions 2.8 < η < 5.1 and −3.7 < η < −1.7, respectively,
each made up of scintillator tiles with a timing resolution < 1ns.
The fast signals from either of V0-A or V0-C are combined in a
programmable logic to form a trigger signal and to reject back-
ground
events. Furthermore, the combined pulse height signal of
both sub-detectors forms the basis for the classification of events
into different centrality classes [11].
The
Zero-Degree Calorimeter (ZDC) measures the energy of
spectator (non-interacting) nucleons with two components: one
measures protons and the other measures neutrons. The ZDC is
located at about 112.5 m from the interaction point on both sides
of the experiment [9]. The ZDC also provides timing information
used to select collisions in the off-line data processing.
3. Data sample and analysis method
The results presented here are based on data collected by AL-
ICE
in 2015 during the Pb–Pb collision run of the LHC at
√
s
NN
=
5.02 TeV. About 100 000 events with a minimum bias trigger re-
quirement
[12] were analysed in the centrality range from 0% to
90%. The minimum bias trigger for Pb–Pb collisions in ALICE, which
defines the so-called visible cross-section, is defined as a coinci-
dence
between the A (z > 0) and C (z < 0) sides of the V0 detector.
The standard ALICE event selection [13] and centrality estima-
tor
based on the V0–amplitude [11] are used in this analysis. The
event selection consists of: exclusion of background events using
the timing information from the ZDC and V0 detectors; verifica-
tion
of the trigger conditions; and a reconstructed position of the
collision. As discussed elsewhere [11], the 90–100% centrality class
has substantial contributions from QED processes and is therefore
not included in the results presented here.
The
measurement of the charged-particle pseudorapidity den-
sity
at mid-rapidity (|η| < 2) is obtained from a tracklet analysis
using the two layers of the SPD. The analysis method used is iden-
tical
to what has previously been presented [12,14,15]. Note that
no attempt is made to correct for known deficiencies, such as devi-
ations
in the number of strange particles or transverse momentum
(p
T
) distributions compared to experimental measurements [11,16,
17],
in the event generators used to obtain the corrections from
simulations (e.g., HIJING). It is found, through simulation studies,
that tracklet reconstruction first and foremost depends on the local
hit density and only weakly on particle mix and transverse mo-
mentum.
For example, the deficit of strange particles in the event
generator effects the result by less than 2%. Since the event genera-
tors
generally, after detector simulation, produce a local hit density
that is consistent with what is observed in data, we observe a cor-
respondence
between the tracklet samples of both simulations and
data. On the other hand, changing the number of tracklets corre-
sponding
to strange particles a postiori to match the measured rel-
ative
yields dramatically biases the simulated tracklet sample away
from the measured, thus entailing systematic uncertainties that are
beyond the effect of the known event generator deficiencies, and
Fig. 1. [Colour online.] Charged-particle pseudorapidity density for ten centrality
classes over a broad η range in Pb–Pb collisions at
√
s
NN
= 5.02 TeV. Boxes around
the points reflect the total uncorrelated systematic uncertainties, while the filled
squares on the right reflect the correlated systematic uncertainty (evaluated at
η = 0). Statistical errors are generally insignificant and smaller than the markers.
Also shown is the reflection of the 3.5 < η < 5values around η = 0(open circles).
The line corresponds to fits of the difference between two Gaussians centred at
η = 0(f
GG
) [7] to the data.
as such do not improve the accuracy of the measurements. Instead,
variations on the event generators are used to estimate the system-
atic
uncertainties as detailed elsewhere [12,14,15].
In
the forward regions (−3.5 < η < −1.8 and 1.8 < η < 5), the
measurement is provided by the analysis of the deposited energy
signal in the FMD. The analysis method used is identical to what
has previously been presented [7,14]: astatistical approach to cal-
culate
the inclusive number of charged particles; and a data-driven
correction — derived from previous satellite-main collisions — to
remove the large background from secondary particles.
4. Systematic uncertainties
For the measurements at mid-rapidity the sources and de-
pendencies
of the systematic uncertainties are detailed elsewhere
[7,12,15]. The magnitude of the systematic uncertainties is un-
changed
with respect to previous results, and amounts to 2.6% at
η = 0 and 2.9% at η = 2, most of which is correlated over |η| < 2,
and largely independent of centrality.
The
systematic uncertainty on the forward analysis is evaluated
using the same technique as for previous results [7]. We find that
the uncertainty is uncorrelated across η an that it amounts to 6.9%
for
η > 3.5and 6.4% elsewhere within the forward regions.
The
systematic uncertainty on dN
ch
/dη due to the centrality
class definition is estimated as 0.6% for the most central and 9.5%
for
the most peripheral class [15]. The uncertainty is estimated
by using alternative centrality definitions based on SPD hit mul-
tiplicities
and by varying the fraction of the visible hadronic cross-
section.
The 80–90% centrality class has some residual contam-
ination
from electromagnetic processes detailed elsewhere [11],
which gives rise to a 4% additional systematic uncertainty on the
measurements.
In
summary, the total systematic uncertainty varies from 2.6%
at
mid-rapidity in the most central collisions to 12.4% at the very
forward rapidities for the most peripheral collisions.
5. Results
Fig. 1 presents the charged-particle pseudorapidity density as
a function of pseudorapidity for ten centrality classes. The mea-
surements
from the SPD and FMD are combined in regions of
overlap (1.8 < |η| < 2) between the two detectors by taking the
weighted average using the non-shared uncertainties as weights.
Finally, based on the symmetry of the collision system, the result
is symmetrised around η = 0, and extended into the non-measured
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