Strange and identified hadron production at the LHC with ALICE

Strange and identified hadron production at the LHC with ALICE

L. S. Barnby for the ALICE Collaboration
Abstract

The ALICE detector was designed to identify hadrons over a wide range of transverse momentum at mid-rapidity. Here measurements of light charged (, , p) and neutral (, ) hadrons in Pb–Pb collisions at  = 2.76  are presented with additional data from a pp reference at . Such measurements are crucial for understanding the properties of the fireball produced in heavy-ion collisions at the LHC. The particle-type dependence of the spectra and the yields of particles extracted give information on the expansion dynamics and chemical composition respectively. In addition studying the ratio of baryons to mesons may help in understanding the mechanisms by which hadronisation takes place. We find that, when comparing to data from  = 200  Au+Au collisions at RHIC, a more strongly expanding system is created with a similar relative population of hadron species. We also see that collective effects or complex mechanisms responsible for a relative enhancement of baryons have an influence at a much higher than was previously seen.

Keywords:
QGP, hadron production
:
25.75-q,25.75.Dw,13.85.Hd

1 Introduction

The aim of relativistic heavy-ion collision experiments is to detect and understand the properties of the bulk QCD matter created in these collisions. Past experiments have shown that the ability to perform measurements differentially with respect to the identity of the final state hadrons is crucial to a full understanding of the evolution and dynamics of the produced fireball Braun-Munzinger et al. (1995, 1996); Kolb and Rapp (2003). Such measurements have also revealed anomalies challenging the detailed modelling of the collision Adler et al. (2003); Adams et al. (2006). The ALICE experiment was designed with the goal of maximising the particle identification capability using transition and Cherenkov radiation detectors, calorimetry and, in particular for the analysis presented here, identifying the most abundant species of charged hadrons over a wide range of at mid-rapidity using and time-of-flight techniques Aamodt et al. (2008). The excellent tracking down to low also allows the reconstruction of weakly decaying neutral strange particles via their charged decay modes.

2 Experiment

The ALICE central barrel performs tracking of charged particles in a 0.5 T magnetic field using a Time Projection Chamber (TPC) and Inner Tracking System (ITS). Particles with large enough pass through the outer wall of the TPC and can go on to hit a surrounding Time-of-Flight detector (TOF). Pb–Pb events were collected using a minimum bias trigger and several million events are used in this analysis. The Pb–Pb data sample can be separated into centrality bins using the event-wise multiplicity in the VZERO forward scintillator detectors in combination with a Monte Carlo Glauber study Aamodt et al. (2011a). Charged particle identification is achieved using two techniques. The specific energy loss, , can be calculated for each track from the ionisation in the TPC gas (or ITS silicon) and compared to theoretical values from the Bethe-Bloch formula which predicts the regions in momentum where , , and p signals can be separated. This separation between species can be used at low  but near to the minimum of all three species are merged. In this range however the TOF can separate these species so a combined  spectrum can be extracted Aamodt et al. (2010a). In this analysis the primary yield of charged particles is reported; that is those emerging directly from the collision or the decay of short-lived resonances and not the charged particles from the weak decay of strange hadrons nor secondaries from the material. These are both excluded using the distribution of the distance of closest approach to the primary interaction vertex, which can be fitted to a template obtained from Monte Carlo events, where the origin of the particle is known. The decay of neutral strange particles decaying into charged daughters; and , can be reconstructed and the invariant mass distributions used for identification. The analysis follows the method used for  collisions but tighter cuts are made to further reduce the combinatorial background in Pb–Pb events Aamodt et al. (2011b). For both neutral and charged particle analyses the spectra are corrected using efficiencies from Monte Carlo events having equivalent mean multiplicities.

3 Results

3.1 Charged Particles

The combined  spectra are obtained for each of eight centrality bins for , , p and  and are shown, for positive particles only, in figure 1. The most noticeable features are: the dramatic change in the shape of the spectra going from through  to p; and the shifting of the most probable values to higher , particularly for p but also for . A direct comparison of the most central spectra to Au–Au data at  = 200  is made in figure 2. This shows how the spectra at LHC energy are much less steeply falling. A first attempt at quantifying the changes using a parameterised blast wave function Schnedermann et al. (1993) was made. The resulting fit parameters for the freeze-out temperature, , and mean transverse velocity, , are shown in figure 3 as 1- contours for each centrality class. Fits ranges 0.3–1.0 GeV, 0.2–1.5 GeV and 0.3–3.0 GeV were used for ,  p respectively in order to avoid the region where a hard component of the spectum might be expected and, at low , to avoid a strong contribution of resonances to . There appears to be a larger , corresponding to stronger flow, than observed by STAR at lower energy Adams et al. (2005).  is very sensitive to the fit range so any change with respect to RHIC needs further study. A blast wave was also fitted to each individual spectrum in order to obtain -integrated yields, including the unmeasured part. These can be used to form the ratios p/ and for each centrality bin. The ratio p/ is almost constant with centrality and is consistent with similar measurements in Au–Au collisions at RHIC Adler et al. (2004). The ratio shows a small rise from  and peripheral collisions to the most central collisions and is also consistent with previous lower energy data Abelev et al. (2009).

Figure 1: The centrality-selected spectra for identified (top) (middle) and p (bottom). Fits are to a parameterised blast wave.
Figure 2: The spectra for , , , and  for the most central Pb–Pb (0-5%) collisions (solid markers) plotted with those measured in  = 200 Au–Au collisions (open symbols.)
Figure 3: 1- contours in the T- plane from a simultaneous fit of a parameterised blast wave function to the , , and p spectra for various centrality classes. Pb–Pb collisions from the ALICE experiment in red, Au–Au collisions from the STAR experiment in blue. Most central data lie to the right.

3.2 Neutral Particles

The spectra of  and  have also been extracted for each centrality bin. As the systematic uncertainties on the efficiency correction are still under study the preliminary spectra themselves are not yet ready. However the study reveals that the ratio of the efficiencies for each particle, as a function of , is rather stable with respect to changing the centrality of the collision. In particular in the range 2.5-5.5 GeV the variation of the efficiency ratio between the most central and the most peripheral centrality selections is below 2%. This allows the /  ratio to be calculated with an estimated systematic uncertainty of 10% and the resulting curves for each centrality are shown in figure 4 (upper). Also shown are the ratios in  collisions at and 7  Aamodt et al. (2011b). The  data demonstrate that in the  range the maximum value of the ratio is almost constant and it is reasonable to assume that  collisions at  would show the same maximum. Taking this  baseline the ratio is observed to have a maximum which rises strongly going to peripheral and then to central events, with a total increase up to a factor of three. The value of at which the maximum is reached is also increasing by several hundred MeV. The data are compared to a similar measurement previously made by STAR in figure 4 (lower) Lamont and the STAR Collaboration (2006). To facilitate the comparison the lower energy data were scaled by the / ratio measured for each centrality Adams et al. (2007), assuming it is constant in , because it has previously been noted that there is a -dependence of the ratio Aggarwal et al. (2011), presumably due to the change in the baryo-chemical potential. The ALICE data were not scaled in this way because the anti-baryon/baryon ratio in LHC collisions is very close to one Aamodt et al. (2010b). The ratio in peripheral 60-80% collisions is very similar in shape for the two collision systems with only a small change in the magnitude. In the most central 0-10% however the shape is quite different with the enhancement of the  extending to a much larger in the higher energy data. This is qualitatively in agreement with some predictions Fries and Müller (2004).

Figure 4: (Upper panel.) The ratio of  to  as a function of for five centrality classes in Pb–Pb collisions. Also shown the same ratio in  collisions at two energies. (Lower panel.) A comparison between the ratio measured by ALICE (solid markers) and STAR (open symbols) for selected centralities.

4 Conclusions

Pb–Pb collisions at  = 2.76  reveal a number of similarities to Au–Au collisions at RHIC; the ratios of the yields are the same within the experimental uncertainties, the spectra are compatible with a strong collective motion which increases going to more central collisions and there is a growth of the /  ratio in the region 2-4 GeV, also with centrality. There are however some notable differences; the spectra are much flatter giving a transverse flow velocity in a blast wave parameterisation 10% larger than that in  = 200 Au–Au collisions and the enhanced baryon-to-meson ratio extends to a of around 6 GeV. This may imply that the influence of particles participating in the collective dynamics of the system extends to a higher than has previously been observed.

References

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