Introduction
The strong force dictates the interactions between quarks and gluons, the elementary particles responsible for most of the visible mass in the universe. Quantum chromodynamics (QCD), a non-Abelian gauge theory, provides the mathematical framework for describing the strong force and is crucial for comprehending the fundamental nature of matter under extreme conditions [1-3].
QCD is characterized by two notable features: asymptotic freedom and color confinement. Asymptotic freedom describes how the interaction between quarks and gluons weakens as their momentum exchange increases. Conversely, color confinement dictates that quarks and gluons cannot exist in isolation; they are always bound together within composite particles called hadrons, which cannot carry a net color charge and are the only observable entities. The field of “QCD condensed matter” investigates the behavior of quarks and gluons in a dense, many-body system under conditions of high-energy density. By heating such a system, often with zero net baryon density, to temperatures above 150-160 MeV, scientists can observe the creation of quark-gluon plasma (QGP).
Unlike normal nuclear matter, the QGP is a state where quarks and gluons are not confined within hadrons. The early universe existed in this primordial state for the first few millionths of a second after the Big Bang, with the strong force playing a crucial role in the formation of the vast majority of visible mass in the universe. Recreating this primordial state of matter in laboratory experiments and studying its evolution can provide valuable insights into the organization of matter and the mechanisms that govern the confinement of quarks and gluons.
Relativistic heavy-ion collisions at the BNL-STAR generate QGP, which exists in extreme states characterized by being the hottest, densest, most vortical, and polarized, while also being the least viscous fluid ever studied in the laboratory [4-13]. The Large Hadron Collider—A Large Ion Collider Experiment (LHC-ALICE) heavy-ion collisions can generate even more extreme matter. The ALICE detector [14, 15] at the LHC was specifically designed to investigate the properties of QGP produced at these high energies. In the laboratory, conditions similar to those of the early universe can be recreated by colliding heavy ions at energies in the multi-TeV range. ALICE began physics data collection in 2009 with the first LHC pp collision at
The ALICE detector (Fig. 1) is positioned at the interaction point IP2 of LHC. It comprises a central barrel that covers the full azimuthal angle and pseudorapidity region (|η| < 0.9). The detector is equipped with robust particle identification capabilities up to pT of 20 GeV/c, along with excellent capabilities for reconstructing primary and secondary vertices. The main charged-particle tracking detectors of ALICE include the inner tracking system (ITS) and a large time projection chamber (TPC). Complementing the TPC, external tracking is provided by a transition radiation detector (TRD) and a time-of-flight system (TOF). Beyond the TOF, the azimuthal region houses two electromagnetic calorimeters: the high-resolution photon spectrometer (PHOS) and EMCal, as well as a high-momentum particle identification detector (HMPID). The central barrel detectors are enclosed within the L3 solenoid magnet, which generates a magnetic field of up to B = 0.5 T. In the forward region, ALICE has a muon spectrometer and various sets of smaller detectors, including the forward multiplicity detector (FMD), photon multiplicity detector (PMD), V0, T0, and zero-degree calorimeters (ZDC). Each year, the data collected at ALICE can easily reach sizes exceeding tens of petabytes. Processing such vast amounts of data for reconstructing physics objects from raw data is made possible by the worldwide LHC computing grid (WLCG) infrastructure, which relies on approximately 200 computing clusters distributed worldwide. In China, a newly reactivated cluster located at the Institute of High Energy Physics, CAS, Beijing, has been operational since 2024.
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Below, we provide a brief introduction to selected physics topics investigated by ALICE, organized as follows: In Sect. 2, we present highlights on macroscopic properties (2.1), flow and correlations (2.2), dileptons, quarkonia, and electromagnetic probes (2.3), heavy flavor (2.4), and jets (2.5). Future plans for detector upgrades have been discussed in Sect. 3.
Study of quark–gluon plasma
Macroscopic properties
Objective of the ALICE is to investigate the QGP created at center-of-mass energies ranging from a few TeV. A crucial aspect of this research is estimating the initial energy density and temperature necessary for QGP formation in collisions. The initial energy density can be inferred from the observed hadron production in the final state of the fireball across different collision centrality classes and at varying center-of-mass energies. Figure 2 from [15] illustrates the scaled charged-particle multiplicity measured at midrapidity (|y| < 0.5), normalized by
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The size dependence of particle production in collision systems ranging from p-p(Pb) to Xe-Xe and Pb-Pb has been measured with unprecedented precision. Figure 3 from [15] illustrates the centrality dependence of
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Particle production measurements are pivotal in estimating the initial energy density and temperature, which are crucial for determining whether the conditions for the QCD phase transition are met during collisions [19-26]. The energy density in the collision can be estimated using the “Bjorken estimate” [27]: ϵ(τ), which is derived from the total produced transverse momentum. This estimation method applies to a system that undergoes free-streaming with boost-invariant longitudinal expansion and no transverse expansion, as described in references [27, 15]. By using the measured charged-particle pseudorapidity density and assuming a normal distribution of charged particles in rapidity [28, 29], it becomes feasible to derive a lower-bound estimate of the energy density
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Another critical parameter in determining the formation of QGP is the temperature of the system created in collisions. It is important to distinguish between two concepts of temperature: the chemical freeze-out temperature [32] and the kinetic freeze-out temperature [33]. These temperatures characterize the thermodynamic properties of the fireball at the stages of chemical equilibrium and ceasing of hadron rescattering, respectively. The measurement of the kinetic freeze-out temperature has incorporated light nuclei to explore the system’s thermalization [34]. Owing to their large mass, (anti-)α production yields and transverse-momentum spectra are particularly significant as they rigorously test particle production models. The combined anti-α and α spectrum, when included in a common blast-wave fit with lighter particles, indicates that the (anti-)α also participates in the collective expansion of the collision medium. A blast-wave fit using only protons, (anti-)α, and other light nuclei yields a flow velocity comparable to that from a fit including all particles. However, fitting only protons and light nuclei results in a similar flow velocity but a notably higher kinetic freeze-out temperature, as shown in Fig. 5. Interestingly, hypernuclei exhibit a similar flow velocity and kinetic freeze-out temperature to light nuclei [35, 36], although more data from ALICE Run 3 is needed to solidify these findings [35].
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The temperature of the early partonic phase can be experimentally accessed through sensitive probes produced in the early stages of collisions, such as heavy-flavor
The temperature can be experimentally accessed through the measurement of thermal photons emitted by the hot plasma, as their production rate provides insights into the early conditions of the QGP. Direct photons are those that do not originate from parton fragmentation or hadronic decays but are instead produced by electromagnetic interactions during various stages of the collision. Figure 6 presents the direct photon spectra measured in Pb–Pb collisions at 2.76 TeV by the ALICE collaboration [40] and in Au-Au collisions at 0.2 TeV by the PHENIX collaboration [42, 41] in the 0-20% and 20-40% centrality classes. Thermal photons dominate the low transverse-momentum region (
The system size and lifetime are crucial indicators of the fireball properties created in collisions, assessed through particle momentum correlations, known as femtoscopy, at the final kinetic freeze-out state. Historically referred to as “HBT interferometry” after its originators Hanbury-Brown and Twiss in the 1950s and 1960s in astronomy [48, 49], femtoscopy involves constructing relative momentum correlations and fitting them to extract particle interaction and source parameters (see Sect. 2.2). The volume measured by femtoscopy corresponds to the size of the emitting source, known as the homogeneity volume, which typically differs from the total volume of the system at freeze-out [50].
The upper portion of Fig. 7 illustrates how the size of the homogeneity region, inferred from femtoscopic pion radii, scales with the charged-particle pseudorapidity density. These measurements were conducted in central p-Pb and Au-Au collisions across various energy regimes. Notably, the size of the homogeneity region increases approximately threefold from AGS energies to the LHC [15]. The decoupling time of the system is commonly approximated using the decoupling time of pions,
Flow and correlations
The dynamic behavior of the QGP provides crucial insights into strongly interacting matter. These properties are primarily defined by measurements of the collective motion of final-state particles generated in heavy-ion collisions. Anisotropic flow, quantified by Fourier coefficients of the particle azimuthal distributions with respect to symmetry plane angles, Ψ, is a key observable. A cornerstone in exploring the strongly coupled QGP paradigm involves extensive measurements of elliptic flow (v2) and triangular flow (v3), the second- and third-order components of anisotropic flow, respectively. Characteristic features of v2 measurements include mass ordering, particle species grouping (e.g., mesons and baryons), and number of constituent quarks (NCQ) scaling. These features can be interpreted as the interplay between the dominant ellipsoidal geometry in the initial state, the collective expansion of the system, and hadronization through quark coalescence. Overall, these measurements suggest the creation of an “ideal fluid” in relativistic heavy-ion collisions.
Beyond measuring v2, studying v2 fluctuations can provide deeper insights into the collective behavior of the QGP. In [52], the elliptic flow of identified hadrons in Pb–Pb collisions at
The correlations between event-by-event fluctuations of two different flow amplitudes are commonly quantified using “symmetric cumulant” (SC) observables. Building on previous measurements [53], ALICE has extended event-by-event correlations to include three flow amplitudes in higher-order SC observables [54]. These three-harmonic correlations emerge during the collective evolution of the medium and differ from those present in the initial state, which cannot be explained by previous lower-order flow measurements. They provide the first constraints on the nonlinear response contribution in v5 from v2 and v3, enhancing our understanding of the event-by-event flow fluctuation patterns in the QGP.
In recent years, striking similarities between numerous observables, including the “ridge” structure, have been observed in A-A and high-multiplicity p-A and pp collisions at both RHIC and LHC energies, revealing the presence of collectivity in small-system collisions. To investigate the “smallest” (p-A, pp, ee...) and “dilutest” (lower multiplicity) limit of collectivity onset, various measurements are performed in ALICE. In [51], flow coefficients and their cross-correlations using two- and multiparticle cumulants are studied and compared in collisions of pp at
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In Ref. [51], a novel subevent method is employed, revealing that v2 measured with four-particle cumulants aligns well with that from six-particle cumulants in pp and p-Pb collisions. The correlation magnitude between
The measurement of near-side associated per-trigger yields (ridge yields) from the analysis of angular correlations of charged hadrons is performed in pp collisions at
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The study of nuclear structure in heavy-ion collisions has drawn extensive attention in recent years. Pearson correlations between mean transverse momentum [pT] and v2 (v3) are measured as a function of centrality in Pb–Pb (spherical) and Xe–Xe (deformed) collisions at 5.02 and 5.44 TeV, respectively, in ALICE [58, 59]. The positive correlations of
Heavy-ion collisions generate extremely strong electromagnetic fields, predominantly caused by spectator protons. These fields are estimated to reach magnitudes of 1018-1019 Gauss within the first 0.5 fm of the collision at LHC energy levels. In Ref. [61, 62], such strong electromagnetic fields are probed through charge-dependent directed flow (v1) [63] in Pb–Pb collisions at
In addition to azimuthal correlations, ALICE serves as a novel laboratory for determining the space-time characteristics of relativistic heavy-ion collisions and hadron-hadron interactions through momentum correlations [74, 75]. In Ref. [73], momentum correlations between hyperon–proton pairs are measured in
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In Ref. [80], Kaon-Proton correlations are measured in
In the search for the possible Λ-Λ bound state, known as the H-dibaryon, femtoscopic correlations of Λ-Λ pairs are studied in pp and p-Pb collisions [79]. By comparing measured data with model calculations, the scattering parameter space, characterized by the inverse scattering length and effective range, is constrained in Fig. 14. The data reveal a shallow attractive interaction, consistent with findings from hypernuclei studies and lattice computations.
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In addition to strange hadrons, similar measurements have also been extended to charm hadrons. In Ref. [81], momentum correlations of p-D- and their anti-particle pairs are measured in
Three-body nuclear forces are crucial for understanding the structure of nuclei, hypernuclei, and the dynamics of dense baryonic matter, such as in neutron stars. In Ref. [83], ALICE presents the first direct measurement of three-particle correlations involving p-p-p and p-p-Λ systems in pp collisions at
Dileptons, quarkonia and electromagnetic probes
Heavy quarkonia, which are bound states of charm-anticharm (charmonium) or bottom-antibottom (bottomonium) pairs, have been extensively studied in various experiments. Quarkonia serve as essential probes for studying the QGP and its properties. The binding of heavy-quark pairs is affected by the screening of the QCD force due to the high density of free color charges in the QGP, leading to quarkonium dissolution. This concept was first proposed in 1986 [39], with initial studies aiming to link quarkonium suppression directly to the temperature of the deconfined phase. The binding energies of quarkonia, which range from a few MeV to over 1 GeV, suggest a “sequential suppression” with increasing temperature, where strongly bound states persist up to higher dissociation temperatures. In nuclear collisions, varying the QGP temperature by adjusting collision centrality or energy could potentially make quarkonia an ideal thermometer for the medium.
The nuclear modification factor (RAA) is calculated using the measured yields from Pb–Pb and pp collisions at the same center-of-mass energies. Figure 15 presents the pT -integrated
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A strong suppression of the
The production of the
The pT -differential
The polarization of quarkonia in high-energy nuclear collisions can be significantly influenced by the unique conditions within the quark–gluon plasma (QGP). The fast-moving charges of the nuclei generate an intense magnetic field, oriented perpendicular to the reaction plane, which decreases rapidly [96]. Additionally, heavy-quark pair production occurs early in the collision process, and the subsequent evolution into bound states allows the strong magnetic field to potentially affect charmonium polarization. Another factor influencing quarkonia polarization is the orbital angular momentum of the medium [97]. These conditions suggest that both the magnetic field and the vorticity of the QGP can play crucial roles in modifying quarkonium polarization [4].
The measured polarization parameter λθ of the pT -integrated (2 GeV/c < pT < 6 GeV/c) inclusive
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ALICE also measured the spin alignment of
As mentioned earlier, the magnetic field produced by the highly Lorentz-contracted ultra-relativistic heavy-ion collisions can reach magnitudes of up to 1015 Tesla, potentially giving rise to various exotic phenomena. The measurement of thermal dilepton production from the QGP and the hot hadron gas produced in heavy-ion collisions has long been recognized as a precise and powerful probe for studying the time evolution of the medium’s properties [100]. The first measurement of low-mass
The invariant mass spectra of
Heavy flavor probes
In ultra-relativistic heavy-ion collisions, hard scatterings involving parton constituents of nucleons can produce a variety of energetic final states, collectively referred to as “hard probes.” Hard probes are energetic partons created in high momentum-transferred (high-Q2) partonic scattering processes during the early stage of heavy-ion collisions. Since their formation time is shorter than the QGP medium’s lifetime, they experience the entire medium evolution. Due to the high momentum and short-wavelength characteristics of hard probes, their interactions with the medium constituents are highly sensitive to the microscopic structure and quasi-particle nature of the medium. This makes hard probes a valuable tool for providing a “tomography” of the medium across a wide virtuality (wavelength) range. The high-Q2 scale allows the production cross sections of hard probes to be calculated with controlled and improvable accuracy using perturbative QCD (pQCD) tools. Furthermore, the interactions between hard probes and the QGP medium can be modeled starting from the pQCD formulation of elementary collisions or transport theory, providing a firm conceptual foundation for such modeling approaches. HF quarks, jets, and photons are all examples of hard probes that have been extensively studied by ALICE during Runs 1 and 2 data collection.
For heavy quarks, such as charm and beauty quarks, the high-Q2 scale is imparted by their large masses (
When propagating through the QGP medium, heavy quarks interact with the medium constituents via both elastic (collisional) and inelastic (induced radiative) processes, leading to in-medium energy loss at low and high pT, respectively [106, 107]. This energy loss is experimentally explored by measuring the nuclear modification factor RAA. In the absence of QGP formation in pp collisions, RAA = 1 if AA collisions were simply a superposition of nucleon-nucleon collisions. However, when a heavy quark deposits most of its energy into the QGP medium, it may begin to participate in the medium’s hydrodynamic expansion, potentially approaching thermalization.
The ALICE experiment measures fully reconstructed open HF hadrons from their hadronic decays at midrapidity (|y| < 0.5) [108-116]. In addition, open HF production is measured using semi-electronic [117-120] and semi-muonic decays [121-125] at midrapidity (|y|<0.8 for low- and intermediate-pT and |y|<0.6 for high-pT) and forward rapidity (2.5 < y < 4), respectively. The semi-electronic decays are also used for the partial reconstruction of charmed baryons [113, 126, 127]. Furthermore, beauty production is measured via non-prompt
The left and right panels of Fig. 19 show, respectively, RAA and the second-order anisotropy flow (elliptic flow) coefficient v2 as a function of pT for prompt D mesons measured at midrapidity in central (0-10%) and semi-central (30-50%) Pb-Pb collisions at
In Fig. 19, the measurements are also compared with model calculations based on charm-quark transport in a hydrodynamically expanding QGP. All models are qualitatively in agreement with the data, including the triangular flow coefficient v3 of D mesons [133]. Although some tension is observed, particularly at low-pT, models that agree with data at the level χ2/ndf < 2 yield a value 1.5 < 2π DsT < 4.5, where T is the temperature at the critical point of the QCD deconfinement phase transition,
It is worth noting that RAA [121, 124] and v2 [122] of open HF decay muons measured at forward rapidity agree with those of prompt D mesons at midrapidity within uncertainties at low- and intermediate-pT, where the muons are primarily dominated by charm-hadron decays. This indicates that charm quarks undergo strong interactions and thermalize in the QGP medium over a wide rapidity range. The complementary measurements at forward rapidity provide significant constraints on the modeling of the longitudinal dependence of QGP transport properties [139]. In addition, the RAA [124] measurements of open heavy flavors at forward rapidity have much higher precision than those at midrapidity in the high pT, providing further constraints on the medium-induced gluon radiation behavior of beauty quarks.
To further explore the transport properties of beauty quarks in the QGP medium, non-prompt D mesons are measured at midrapidity by ALICE. The left and right panels of Fig. 20 show, respectively, the measurements of pT-differential RAA and v2 of non-prompt D0 mesons in central (0-10%) and semi-central (30-50%) Pb-Pb collisions at
Consistent with the large yield suppression, a positive v2 is observed for non-prompt D0 mesons at intermediate pT in 30-50% semi-central collisions, with a significance of 2.7 standard deviations (σ). The measured v2 of non-prompt D0 mesons is lower than that of prompt D mesons, with a 3.2σ significance in the 2 GeV/c <pT<8 GeV/c range. Given that the spatial diffusion coefficient Ds is independent of heavy-quark mass and that mbeauty is approximately three times larger than mcharm, the beauty-quark relaxation time τbeauty is likely comparable to or even longer than the QGP lifetime τQGP at the LHC. This suggests that beauty quarks are less thermalized in the QGP medium than charm quarks, leading to the observed smaller v2 for non-prompt D0 mesons compared to prompt D mesons at intermediate pT. At high pT, the measured v2 of non-prompt D0 mesons and prompt D mesons appears consistent, reflecting the interplay between path-length-dependent heavy-quark in-medium energy loss and the evolution and density fluctuations of the QGP medium.
The degree of thermalization of charm and beauty quarks as they interact with the QGP medium not only leads them to participate in the collective motion of the medium but also suggests their hadronization through recombination with quarks and di-quark pairs in the medium. Recombination is expected to influence the pT distributions and the abundances of different HF hadron species in AA collisions compared to those in pp collisions [142]. Specifically, if heavy quarks hadronize via recombination, the yield of charm and beauty hadrons containing strange-quark content (e.g.,
The left panel of Fig. 21 shows the pT-differential
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An accurate interpretation of all the aforementioned measurements in heavy-ion collisions, which is crucial for characterizing the properties of the QGP medium, depends on a reference system in which the QGP medium is not formed. Traditionally, small-system collisions (e.g., pp and p-Pb), due to their dilute partonic environment, serve as the baseline for AA collision studies. In addition, measuring HF production in pp collisions provides a fundamental test for pQCD calculations in the TeV domain [157, 158].
The production cross sections of
The mentioned theoretical calculations are based on pQCD factorization approaches [170, 171], where fragmentation functions are typically parametrized from measurements performed in e-e+ or ep collisions, assuming that the hadronization of heavy quarks into hadrons is a universal process across different colliding systems. However, this assumption may be violated by higher-twist effects or other factors related to heavy-quark kinematics and the underlying event in pp collisions [172-174]. This effect is observed in recent measurements of charmed meson-to-baryon yield ratios at midrapidity in pp collisions at various collision energies for
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Furthermore, the measurements in p-Pb collisions are crucial for constraining cold nuclear matter (CNM) effects [179], which include nuclear modified PDFs (nPDFs), multiple scatterings in nucleons that collide with more than one other nucleon, the Cronin effect, parton energy loss in CNM, and absorption of produced hadrons by the nucleus. ALICE measures the nuclear modification factors of open HF particles in p-Pb collisions for D mesons [180],
Up to now, all the aforementioned observations in small-system collisions indicate that such systems can be considered as baseline references, in which the conditions to form the QGP cannot be reached. Surprisingly, as illustrated in the right panel of Fig. 22, a non-zero v2 coefficient for open HF hadron decay muons—considered emblematic signatures of QGP formation—is observed at forward rapidity in high-multiplicity p–Pb collisions at
In the future, the high-multiplicity LHC project for ALICE during LHC Run 3 and Run 4, along with the ALICE 3 detector upgrade project for LHC Run 5 and beyond (see Sect. 3), will be crucial for revealing the origins of the observed non-universality in charm-quark hadronization and the QGP-like effects observed in small-system collisions.
Jets
Jets play a crucial role in ultra-relativistic heavy-ion collisions, serving multiple key functions. They help identify the initial momentum scale of hard scatterings, especially for photons and other colorless probes. Moreover, jets offer valuable insights into the interactions within the dense QCD medium, particularly those involving quarks and gluons, which carry QCD color charge. By studying jet substructure, HF quarks, and the highest transverse-momentum jets, researchers can thoroughly explore interactions within the QCD medium across various topologies and kinematic ranges.
In Fig. 23, the nuclear modification factors are depicted for R = 0.6 (left) and the double ratio of jet nuclear modification factors between R = 0.6 and R = 0.2 (right), presented for 0–10% central Pb–Pb collisions and compared to theoretical calculations incorporating jet quenching [187]. The double ratio RAA is a critical measure for evaluating the R-dependence of energy loss in jets. Values below unity indicate greater suppression for jets with larger R, values at unity suggest no R-dependence or a balancing of effects, and values above unity imply less suppression for larger R jets. In 0–10% central collisions, the
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Event-shape engineering (ESE) is an experimental technique that classifies events based on their anisotropies using the magnitude of the reduced flow vector, providing a novel method to constrain the path-length dependence of jet energy loss. To investigate the event-shape dependence, events were categorized based on the magnitude of the reduced flow vector q2, measured with the forward detector V0C. Figure 24 shows the ratio of out-of-plane to in-plane jet yields for the q2-small and q2-large event classes, focusing on jets with R=0.2 in mid-central 30-50% Pb–Pb collisions at
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Medium-induced yield modification is measured by IAA(pT,ch jet)=Δrecoil(Pb-Pb)/Δrecoil(pp), which represents the ratio of the Δrecoil(pT,jet) distributions measured in Pb–Pb and pp collisions. Figure 25 presents the IAA(pT,ch jet) distributions measured for R=0.4 with the default TTsig selection (left panel) and with varied TTsig selections (right panel) in central Pb–Pb collisions. The IAA(pT,ch jet) distributions show a notable dependence on pT,ch jet. For R=0.4, JEWEL (recoils on) exhibits a significant increase in IAA(pT,ch jet) toward low pT,ch jet for pT,ch jet<20 GeV/c, mirroring the trend in the data for R=0.4. Overall, JETSCAPE most accurately describes both the magnitude and pT,ch jet dependence of IAA(pT,ch jet) in the range pT,ch jet<20 GeV/c. The rising trend in the data toward low pT,ch jet for pT,ch jet<20 GeV/c is captured by both the Hybrid Model and JEWEL, but only with the inclusion of medium-response effects [190, 189]. Figure 25 (right) displays the IAA(pT,ch jet) distribution for R=0.4 measured for several
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Figure 26 presents the first observation of medium-induced jet acoplanarity broadening in the QGP. The broadening is significant in the range of 10 GeV/c < pTjetch<20 GeV/c for R=0.4 and 0.5, but it is negligible for R=0.2, and at larger pTch, jet for all R. This rapid transition in the shape of the acoplanarity distribution as a function of both pT,ch jet and R is striking. Possible mechanisms for generating acoplanarity broadening include jet scattering from QGP quasi-particles, medium-induced wake effects, and jet splitting, where medium-induced radiation from a high-pT,ch jet jet is reconstructed at low pT,ch jet with a large deviation from Δ(phi)~π [190, 189].
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Jet quenching, a phenomenon associated with the formation of QGP in large nuclear systems, is anticipated to occur in smaller systems, albeit with diminished effects. Currently, there is no definitive evidence, beyond experimental uncertainties, of jet quenching in small systems. This raises the question of whether the observed collective effects in these systems genuinely stem from QGP formation or from other mechanisms. Further investigations are essential to search for jet quenching effects in small systems and to address this unresolved issue.
To investigate the pT dependence of normalized jet production as a function of self-normalized charged-particle multiplicity, Fig. 27 displays the self-normalized jet yields across four selected jet pT intervals for resolution parameters R=0.3, 0.5, and 0.7. The data are also compared with PYTHIA8 predictions [191]. The measured jet production ratios in central rapidity exhibit an increase with multiplicity, mirroring earlier findings for identified particles using the forward multiplicity V0 estimator. However, the increase is less pronounced for the lowest jet pT in the highest multiplicity interval. Current Monte Carlo (MC) event generators can predict the rising trend but fail to accurately describe the absolute yields, particularly in the highest multiplicity class.
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Figure 28 presents fully corrected distributions of Δrecoil (pT,ch jet) and Δrecoil (Δ(phi)) measured in minimum bias (MB) and high multiplicity (HM)-selected pp collisions at
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Moreover, the count of emissions produced by the charm quark that meet the soft drop criterion, represented as nSD, is determined by examining all branch splittings involving the D0 meson. This analysis reveals a significant correlation with the number of perturbative emissions originating directly from the charm quark.
The initial measurement, correlating with the charm-quark splitting function, is depicted through the nSD distribution illustrated in Fig. 29. This distribution pertains to charm jets identified by a prompt D0 meson within the transverse momentum range 15 GeV /c≤pT,jet<30 GeV /c [193]. Compared to inclusive jets, the nSD distribution for charm-tagged jets exhibits a noticeable shift toward smaller values. This observation suggests that, on average, charm quarks emit fewer gluons with sufficiently high pT to satisfy the soft drop condition during the showering process, in contrast to light and massless partons. This behavior aligns with expectations arising from the presence of a “dead cone” effect specific to charm quarks, which leads to a steeper fragmentation pattern for charm quarks relative to light quarks and gluons.
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The observable utilized to detect the dead cone involves forming the ratio of the splitting angle (θ) distributions between jets tagged with D0-mesons and inclusive jets, grouped into bins of ERadiator. Expressing this ratio in terms of the logarithm of the inverse of the angle is appropriate, as at leading order, the QCD likelihood for a parton to split is proportional to ln(1/θ)ln(kT).
Figure 30 presents measurements of R(θ) in three intervals of radiator energy associated with charm quarks: 5 GeV < ERadiator < 10 GeV, 10 GeV < ERadiator < 20 GeV, and 20 GeV < ERadiator < 35 GeV [194]. A pronounced reduction in the occurrence of small-angle splittings is evident in jets tagged with D0 mesons compared to the general jet sample. Each plot includes a baseline corresponding to scenarios without a dead cone for every MC generator (dashed lines). The discrepancy between the measured data points and the no dead-cone limit directly illustrates the presence of a dead cone, where emissions from charm quarks are suppressed. This suppression becomes more pronounced with lower radiator energies, consistent with the anticipated inverse relationship between the dead-cone angle and radiator energy.
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ALICE detector upgrade and future plan
Two detector upgrades for ALICE have recently been approved for Run 4, to be installed during the Long Shutdown 3 of the LHC, in order to further enhance the physics reach of the experiment. The first upgrade involves enhancing the innermost three layers of the ITS (ITS3) [195]. The second upgrade entails the construction of a new forward calorimeter (FoCal) [196], optimized for direct photon detection in the forward direction of the ALICE detector.
The current upgraded ITS2 is the largest pixel detector to date, with 10 m2 of active silicon area and approximately 12.5 billion pixels. In the new ITS3 (Fig. 31), the three innermost layers will be replaced with ultra-thin wafer-scale silicon sensors measuring up to 10 cm×26 cm, built using a novel stitching technology. The sensors will be thinned to about 50 μm and bent into truly cylindrical detector layers, which are held in place with carbon foam and cooled by forced airflow. No further mechanical support or electrical connections (circuit boards) are necessary within the active area, resulting in a material budget of 0.07%X0 per layer. These true cylinders will also allow the innermost layer to be positioned closer to the interaction point at 19 mm, which is only 2 mm away from the beam pipe.
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Due to the reduction of the material budget and its proximity to the interaction point, the ITS3 detector will provide unprecedented spatial resolution, improved by a factor of 2 compared to that of the ITS2, as well as a higher reconstruction efficiency for low-momentum particle tracks. These features will significantly improve the physics performance of the ALICE detector for measurements of HF hadrons through the reconstruction of their decay topologies and those of dileptons.
The gain in performance [197] will enable the first measurements of
The FoCal detector consists of an electromagnetic calorimeter (FoCal-E) and a hadronic calorimeter (FoCal-H), covering a pseudorapidity range of 3.2 < η < 5.8, as shown in Fig. 32. FoCal-E is a highly granular Si+W calorimeter composed of 18 layers of silicon pad sensors, each as small as 1 cm×1 cm, along with two additional silicon pixel layers featuring a pixel size of 30 μm×30 μm. FoCal-H is constructed from copper capillary tubes and scintillating fibers.
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FoCal has unique capabilities [198] to measure direct photon production at forward rapidity, allowing for probing the gluon distribution in protons and nuclei at small-x. Furthermore, FoCal will facilitate inclusive and correlation measurements of photons, neutral mesons, and jets in hadronic pp and p-Pb collisions, as well as J/ψ production in ultra-peripheral p-Pb and Pb-Pb collisions. This significantly enhances the scope of the ALICE physics program to explore the dynamics of hadronic matter and the nature of QCD evolution at small x, down to x~10-6.
The ITS3 and FoCal projects have reached the important milestone of completing their Technical Design Reports [199, 200], which were endorsed by the CERN review committees in March 2024. The construction phase for ITS3 and FoCal has now begun, with the detectors scheduled to be installed in early 2028 and ready for data taking in 2029. A completely new detector, named ‘ALICE 3’, is proposed [201] for LHC Runs 5 and 6 to enable new measurements in the HF sector. This includes studies of multi-charm baryon production and the interaction potentials between heavy mesons via femtoscopy, as well as precise multi-differential measurements of di-electron emission to probe the chiral-symmetry restoration mechanism and to study the time evolution of the QGP temperature.
The ALICE 3 detector consists of a tracking system with unique pointing resolution over a large pseudorapidity range (-4 < η < 4), complemented by multiple sub-detector systems for particle identification. These include silicon TOF layers with approximately 20 ps resolution, a ring-imaging Cherenkov detector with high-resolution readout, a muon identification system, and an electromagnetic calorimeter. To achieve an unprecedented pointing resolution at midrapidity in both the transverse and longitudinal directions, the innermost layers are constructed from wafer-scale ultra-thin silicon sensors, bent into cylinders with minimal supporting material, similar to the ITS3. These layers will be positioned inside the beam pipe as close as possible to the interaction point, mounted on a retractable structure to allow sufficient aperture for the beams at injection energy. In the proposed apparatus, which includes a solenoid magnetic field of B = 2 T, the tracker with barrel and endcap silicon pixel layers provides a relative momentum resolution of 1–2% over a large acceptance by measuring approximately 10 space points. Intensive R&D programs are being pursued by the ALICE collaboration to push the current technological limits of silicon sensors for tracking, timing, and photon detection.
The proposed ALICE 3 detector is designed for studies of pp, p-A, and A-A collisions at luminosities that are 20 to 50 times higher than those achievable with the currently upgraded ALICE detector. This enhanced capability will enable a rich physics program, ranging from measurements with electromagnetic probes at ultra-low transverse momenta to precision physics in the charm and beauty sectors.
Summary
Since the commencement of LHC collisions in 2009, the ALICE detector has executed a highly successful data collection program. The experiment was specifically designed to investigate QCD at the LHC, utilizing the highest collision energies achievable in laboratory settings. The primary objective was to probe many-body QCD interactions at extreme temperatures by studying the formation of the QGP in heavy-ion collisions. ALICE measurements indicated that heavy-ion collisions at the LHC created conditions that far exceeded those required for the formation of the QGP. The QGP formed at LHC energies was demonstrated to undergo the most rapid expansion ever observed for a many-body system in the laboratory. ALICE also provided an extensive mapping of hadro-chemistry in heavy-ion collisions at LHC energies, observed the energy loss of energetic partons in the presence of the QGP and the modification of their showers, revealed significant modifications in quarkonium binding within the QGP, and discovered QGP-like signatures in high-multiplicity small-system collisions. These observations underscored the substantial progress made during the period of LHC data collection. This progress was achieved through collaborative efforts with other LHC experiments, alongside advancements in luminosity and center-of-mass energy coverage within the RHIC program. Looking forward, with the help of enhanced detector capabilities and increased luminosity at the LHC, ALICE is poised to unravel further mysteries of strong interactions and the properties of QCD matter in extreme conditions.
Quantum field theory
. Rev. Mod. Phys. 71, S85-S95 (1999). https://doi.org/10.1103/RevModPhys.71.S85Ultraviolet behavior of non-abelian gauge theories
. Phys. Rev. Lett. 30, 1343-1346 (1973). https://doi.org/10.1103/PhysRevLett.30.1343Reliable perturbative results for strong interactions
? Phys. Rev. Lett. 30, 1346-1349 (1973). https://doi.org/10.1103/PhysRevLett.30.1346Globally polarized quark-gluon plasma in non-central A+A collisions
. Phys. Rev. Lett. 94,Global Λ hyperon polarization in nuclear collisions: evidence for the most vortical fluid
. Nature 548, 62-65 (2017). arXiv:1701.06657, https://doi.org/10.1038/nature23004Pattern of global spin alignment of φ and K*0 mesons in heavy-ion collisions
. Nature 614, 244-248 (2023). arXiv:2204.02302, https://doi.org/10.1038/s41586-022-05557-5Global spin alignment of vector mesons and strong force fields in heavy-ion collisions
. Sci. Bull. 68, 874-877 (2023). arXiv:2305.09114, https://doi.org/10.1016/j.scib.2023.04.001Search for the QCD critical point with fluctuations of conserved quantities in relativistic heavy-ion collisions at RHIC: An overview
. Nucl. Sci. Tech. 28, 112 (2017). arXiv:1701.02105, https://doi.org/10.1007/s41365-017-0257-0Shear viscosity of nucleonic matter
. Prog. Part. Nucl. Phys. 136,High-energy nuclear physics meets machine learning
. Nucl. Sci. Tech. 34, 88 (2023). https://doi.org/10.1007/s41365-023-01233-zPhase transition study meets machine learning
. Chin. Phys. Lett. 40,Unveiling the dynamics of little-bang nucleosynthesis
. Nat. Commun. 15, 1074 (2024). https://doi.org/10.1038/s41467-024-45474-xProperties of the QCD matter: an experimental review of selected results from RHIC BES program
. Nucl. Sci. Tech. 35 (2024). https://doi.org/10.1007/s41365-024-01591-2The ALICE experiment at the CERN LHC
. Journal of Instrumentation 3,The ALICE experiment: a journey through QCD
. Eur. Phys. J. C 84, 813 (2024). https://doi.org/10.1140/epjc/s10052-024-12935-yCentrality dependence of the charged-particle multiplicity density at midrapidity in Pb-Pb collisions at sNN=5.02TeV
. Phys. Rev. Lett. 116,Charged-particle multiplicity and pseudorapidity distributions measured with the phobos detector in Au+Au, Cu+Cu, d+ Au, and p+p collisions at ultrarelativistic energies
. Phys. Rev. C 83,Diffractive and non-diffractive wounded nucleons and final states in pa collisions
. J. High Energy Phys. 2016, 139 (2016). https://doi.org/10.1007/JHEP10(2016)139Experimental study of the QCD phase diagram in relativistic heavy-ion collisions
. Nucl. Tech. 46,Critical dynamical fluctuations near the QCD critical point
. Nucl. Tech. 46,QCD critical end point and baryon number fluctuation
. Nucl. Tech. 46,Several problems in determining the QCD phase boundary by relativistic heavy ion collisions
. Nucl. Tech. 46,QCD phase structure from holographic models
. Nucl. Tech. 46,Light nuclei production and QCD phase transition in heavy-ion collisions
. Nucl. Tech. 46,Transport model study of conserved charge fluctuations and QCD phase transition in heavy-ion collisions
. Nucl. Tech. 46,Searching for QCD critical point with light nuclei
. Nucl. Sci. Tech. 34, 80 (2023). https://doi.org/10.1007/s41365-023-01231-1Highly relativistic nucleus-nucleus collisions: The central rapidity region
. Phys. Rev. D 27, 140-151 (1983). https://doi.org/10.1103/PhysRevD.27.140Centrality dependence of the pseudorapidity density distribution for charged particles in Pb-Pb collisions at sNN=5.02 TeV
. Phys. Lett. B 772, 567-577 (2017). arXiv:1612.08966, https://doi.org/10.1016/j.physletb.2017.07.017Centrality dependence of the pseudorapidity density distribution for charged particles in Pb-Pb collisions at sNN=2.76 TeV
. Phys. Lett. 726, 610-622 (2013).System-size dependence of the charged-particle pseudorapidity density at sNN=5.02 TeV for pp, p-Pb, and Pb-Pb collisions
.. arXiv:2204.10210Improved version of the PHOBOS Glauber Monte Carlo
. SoftwareX 1-2, 13-18 (2015). https://doi.org/10.1016/j.softx.2015.05.001Thermal phenomenology of hadrons from 200A GeV S+S collisions
. Phys. Rev. C 48, 2462-2475 (1993). https://doi.org/10.1103/PhysRevC.48.2462Measurement of (anti)alpha production in central Pb-Pb collisions at sNN = 5.02 TeV
. (2023). arXiv:2311.11758Measurement of Λ3H production in Pb-Pb collisions at sNN = 5.02 TeV
. (2024). arXiv:2405.19839Measurements of the lightest hypernucleus: progress and perspective
. Science Bulletin 68, 3252-3260 (2023). https://doi.org/10.1016/j.scib.2023.11.045Production of charged pions, kaons, and (anti-)protons in Pb–Pb and inelastic pp collisions at sNN = 5.02 TeV
. Phys. Rev. C 101,Light (anti)nuclei production in Pb–Pb collisions at sNN=5.02 TeV
. Phys. Rev. C 107,J/ψ suppression by quark-gluon plasma formation
. Phys. Lett. B 178, 416-422 (1986). https://doi.org/10.1016/0370-2693(86)91404-8Direct photon production in Pb-Pb collisions at sNN=2.76 TeV
. Phys. Lett. B 754, 235-248 (2016). arXiv:1509.07324, https://doi.org/10.1016/j.physletb.2016.01.020Centrality dependence of direct photon production in sNN=200 GeV Au+Au collisions
. Physical Review Letters 94,Enhanced production of direct photons in Au+Au collisions at sNN=200 GeV and implications for the initial temperature
. Phys. Rev. Lett. 104,Two-pion Bose-Einstein correlations in central Pb-Pb collisions at sNN = 2.76 TeV
. Phys. Lett. B 696, 328-337 (2011). arXiv:1012.4035, https://doi.org/10.1016/j.physletb.2010.12.053Centrality dependence of pion freeze-out radii in Pb-Pb collisions at sNN = 2.76 TeV
. Phys. Rev. C 93,Thermal photons and collective flow at the relativistic heavy-ion collider
. Phys. Rev. C 84,Production of photons in relativistic heavy-ion collisions
. Phys. Rev. C 93,Recent critical study of photon production in hadronic collisions
. Phys. Rev. D 73,A New type of interferometer for use in radio astronomy
. Phil. Mag. Ser. 7 45, 663-682 (1954). https://doi.org/10.1080/14786440708520475A Test of a new type of stellar interferometer on Sirius
. Nature 178, 1046-1048 (1956). https://doi.org/10.1038/1781046a0The HBT interferometry of expanding sources
. Phys. Lett. B 356, 525-530 (1995). https://doi.org/10.1016/0370-2693(95)00765-DInvestigations of anisotropic flow using multiparticle azimuthal correlations in pp, p- Pb, Xe-Xe, and Pb-Pb collisions at the LHC
. Phys. Rev. Lett. 123,Anisotropic flow and flow fluctuations of identified hadrons in Pb–Pb collisions at sNN= 5.02 TeV
. J. High Energy Phys. 2023, 243 (2023). https://doi.org/10.1007/JHEP05(2023)243Correlated event-by-event fluctuations of flow harmonics in Pb-Pb collisions at sNN=2.76TeV
. Phys. Rev. Lett. 117,Multiharmonic correlations of different flow amplitudes in Pb-Pb collisions at sNN=2.76TeV
. Phys. Rev. Lett. 127,Observation of partonic flow in small collision systems with ALICE at the LHC., talk given at QM2022
(2022) https://indico.cern.ch/event/895086/contributions/4736573Probing partonic collectivity in pp and p–Pb collisions with ALICE., talk given at IS2023
(2023) https://indico.cern.ch/event/1043736/contributions/5363771/Emergence of long-range angular correlations in low-multiplicity proton-proton collisions
. Phys. Rev. Lett. 132,Anisotropic flow in Xe–Xe collisions at sNN =5.44 TeV
. Phys. Lett. B 784, 82-95 (2018). https://doi.org/10.1016/j.physletb.2018.06.059Characterizing the initial conditions of heavy-ion collisions at the LHC with mean transverse momentum and anisotropic flow correlations
. Phys. Lett. B 834,Probing the nuclear structure with flow observables in ALICE., talk given at IS2023
(2023) https://indico.cern.ch/event/1043736/contributions/5363770/Probing the effects of strong electromagnetic fields with charge-dependent directed flow in Pb-Pb collisions at the LHC
. Phys. Rev. Lett. 125,Electromagnetic fields in ultra-peripheral relativistic heavy-ion collisions
. Nucl. Sci. Tech. 35, 20 (2024). https://doi.org/10.1007/s41365-024-01374-9The direct flow of charged particles and the global polarization of hyperons in 200 AGeV Au+Au collisions at RHIC
. Acta Phys. Sin. 72,Progress on QCD properties in strong magnetic fields from lattice QCD
. Nucl. Tech. 46,Phase transitions of strong interaction matter in vorticity fields
. Nucl. Tech. 46,Electromagnetic field effects and anomalous chiral phenomena in heavy-ion collisions at intermediate and high energy
. Acta Phys. Sin. 72,Progress on the experimental search for the chiral magnetic effect, the chiral vortical effect, and the chiral magnetic wave
. Acta Phys. Sin. 72,Global constraint on the magnitude of anomalous chiral effects in heavy-ion collisions
. Phys. Rev. C 107,Search for anomalous chiral effects in heavy-ion collisions with ALICE., talk given at QM2023
(2023) https://indico.cern.ch/event/1139644/contributions/5502913/Constraining the chiral magnetic effect with charge-dependent azimuthal correlations in Pb-Pb collisions at sNN= 2.76 and 5.02 TeV
. J. High Energy Phys. 2020, 160 (2020). https://doi.org/10.1007/JHEP09(2020)160Search for the chiral magnetic effect with charge-dependent azimuthal correlations in Xe-Xe collisions at sNN=5.44 TeV
. Phys. Lett. B 856,Probing the chiral magnetic wave with charge-dependent flow measurements in Pb-Pb collisions at the LHC
. J. High Energy Phys. 2023, 67 (2023). https://doi.org/10.1007/JHEP12(2023)067Unveiling the strong interaction among hadrons at the LHC
. Nature 588, 232-238 (2020). https://doi.org/10.1038/s41586-020-3001-6Study of the strong interaction among hadrons with correlations at the LHC
. Annu. Rev. Nucl. Part. S. 71, 377-402 (2021). https://doi.org/10.1146/annurev-nucl-102419-034438Hypernuclei as a laboratory to test hyperon-nucleon interactions
. Nuc. Sci. Tech. 34, 97 (2023). https://doi.org/10.1007/s41365-023-01248-6Exploring the NΛ−NΣ coupled system with high precision correlation techniques at the LHC
. Phys. Lett. B 833,Investigation of the p-σ0 interaction via femtoscopy in pp collisions
. Phys. Lett. B 805,Experimental evidence for an attractive p- φ interaction
. Phys. Rev. Lett. 127,Study of the Λ−Λ interaction with femtoscopy correlations in pp and p-Pb collisions at the LHC
. Phys. Lett. B 797,Scattering studies with low-energy kaon-proton femtoscopy in proton-proton collisions at the lhc
. Phys. Rev. Lett. 124,First study of the two-body scattering involving charm hadrons
. Phys. Rev. D 106,Studying the interaction between charm and light-flavor mesons
. Phys. Rev. D 110,Towards the understanding of the genuine three-body interaction for p–p–p and p-p-Λ
. Eur. Phys. A 59, 145 (2023). https://doi.org/10.1140/epja/s10050-023-00998-6Exploring the strong interaction of three-body systems at the LHC
. Phys. Rev. X 14,J/ψ suppression at forward rapidity in Pb–Pb collisions at sNN = 5 TeV
. Phys. Lett. B 766, 212-224 (2017). arXiv:1606.08197, https://doi.org/10.1016/j.physletb.2016.12.064Measurements of inclusive J/ψ production at midrapidity and forward rapidity in Pb–Pb collisions at sNN = 5.02 TeV
. Phys. Lett. B 849,Coherent J/ψ photoproduction at forward rapidity in ultra-peripheral Pb–Pb collisions at sNN=5.02 TeV
. Phys. Lett. B 798,Coherent J/ψ and ψ′ photoproduction at midrapidity in ultra-peripheral Pb–Pb collisions at sNN = 5.02 TeV
. Eur. Phys. J. C 81, 712 (2021). arXiv:2101.04577, https://doi.org/10.1140/epjc/s10052-021-09437-6Measurement of an excess in the yield of J/ψ at very low pT in Pb–Pb collisions at sNN = 2.76 TeV
. Phys. Rev. Lett. 116,Photoproduction of low-pt J/ψ from peripheral to central Pb-Pb collisions at 5.02 TeV
. Phys. Lett. B 846,Transverse momentum distributions of charmonium states with the statistical hadronization model
. Phys. Lett. B 797,Medium effects on charmonium production at ultrarelativistic energies available at the CERN Large Hadron Collider
. Phys. Rev. C 89,X(3872)transport in heavy-ion collisions
. Eur. Phys. J. A 57, 122 (2021). [Erratum: Eur.Phys.J.A 57, 314 (2021)]. arXiv:2006.09945, https://doi.org/10.1140/epja/s10050-021-00623-4Charmonium in medium: from correlators to experiment
. Phys. Rev. C 82,ψ (2S) Suppression in Pb-Pb Collisions at the LHC
. Phys. Rev. Lett. 132,Estimate of the magnetic field strength in heavy-ion collisions
. Int. J. Mod. Phys. A 24, 5925-5932 (2009). arXiv:0907.1396, https://doi.org/10.1142/S0217751X09047570Angular momentum conservation in heavy ion collisions at very high energy
. Phys. Rev. C 77,Measurement of the J/ψ polarization with respect to the event plane in Pb-Pb collisions at the LHC
. Phys. Rev. Lett. 131,Evidence of spin-orbital angular momentum interactions in relativistic heavy-ion collisions
. Phys. Rev. Lett. 125,Hadronic production of thermal photons
. Phys. Rev. C 69,Dielectron production in central Pb-Pb collisions at sNN = 5.02 TeV
. (2023). arXiv:2308.16704Dielectron production at midrapidity at low transverse momentum in peripheral and semi-peripheral Pb–Pb collisions at sNN = 5.02 TeV
. JHEP 06, 024 (2023). arXiv:2204.11732, https://doi.org/10.1007/JHEP06(2023)024Low mass dileptons at the CERN SPS: Evidence for chiral restoration
? Eur. Phys. J. A 6, 415-420 (1999). arXiv:hep-ph/9907502, https://doi.org/10.1007/s100500050364Dilepton spectroscopy of QCD matter at collider energies
. Adv. High Energy Phys. 2013,Review of particle physics
. PTEP 2022,Open heavy-flavor production in heavy-ion collisions
. Ann. Rev. Nucl. Part. Sci. 69, 417-445 (2019). arXiv:1903.07709, https://doi.org/10.1146/annurev-nucl-101918-023806Open heavy flavor in QCD matter and in nuclear collisions
. J. Phys. G 43,Measurement of charm production at central rapidity in proton–proton collisions at s = 2.76 TeV
. JHEP 1207, 191 (2012). arXiv:1205.4007, https://doi.org/10.1007/JHEP07(2012)191Suppression of high transverse momentum D mesons in central Pb–Pb collisions at sNN = 2.76 TeV
. JHEP 1209, 112 (2012). arXiv:1203.2160, https://doi.org/10.1007/JHEP09(2012)112Ds+ meson production at central rapidity in proton–proton collisions at s = 7 TeV
. Phys. Lett. B 718, 279-294 (2012). arXiv:1208.1948, https://doi.org/10.1016/j.physletb.2012.10.049Measurement of prompt D-meson production in p–Pb collisions at sNN= 5 TeV
. Phys. Rev. Lett. 113,Λc+ production in pp collisions at s = 7 TeV and in p–Pb collisions at sNN = 5 TeV
. JHEP 1804, 108 (2018). arXiv:1712.09581, https://doi.org/10.1007/JHEP04(2018)108First measurement of Ξc0 production in pp collisions at s = 7 TeV
. Phys. Lett. B 781, 8-19 (2018). arXiv:1712.04242, https://doi.org/10.1016/j.physletb.2018.03.061D-meson azimuthal anisotropy in midcentral Pb–Pb collisions at sNN = 5 TeV
. Phys. Rev. Lett. 120,Measurement of D0, D+, D*+ and Ds+ production in Pb–Pb collisions at sNN = 5 TeV
. JHEP 1810, 174 (2018). arXiv:1804.09083, https://doi.org/10.1007/JHEP10(2018)174Λc+ production in Pb–Pb collisions at sNN = 5 TeV
. Phys. Lett. B 793, 212-223 (2019). arXiv:1809.10922, https://doi.org/10.1016/j.physletb.2019.04.046Measurement of electrons from semileptonic heavy-flavour hadron decays in pp collisions at s = 7 TeV
. Phys. Rev. D 86,Measurement of electrons from heavy-flavour hadron decays in p–Pb collisions at sNN = 5 TeV
. Phys. Lett. B 754, 81-93 (2016). arXiv:1509.07491, https://doi.org/10.1016/j.physletb.2015.12.067Measurement of electrons from semileptonic heavy-flavour hadron decays at midrapidity in pp and Pb–Pb collisions at sNN = 5 TeV
. Phys. Lett. B 804,Elliptic Flow of Electrons from Beauty-Hadron Decays in Pb–Pb Collisions at sNN = 5 TeV
. Phys. Rev. Lett. 126,Production of muons from heavy flavour decays at forward rapidity in pp and Pb–Pb collisions at sNN = 2.76 TeV
. Phys. Rev. Lett. 109,Elliptic flow of muons from heavy-flavour hadron decays at forward rapidity in Pb–Pb collisions at sNN = 2.76 TeV
. Phys. Lett. B 753, 41-56 (2016). arXiv:1507.03134, https://doi.org/10.1016/j.physletb.2015.11.059Production of muons from heavy-flavour hadron decays in p–Pb collisions at sNN = 5 TeV
. Phys. Lett. B 770, 459-472 (2017). arXiv:1702.01479, https://doi.org/10.1016/j.physletb.2017.03.049Production of muons from heavy-flavour hadron decays at high transverse momentum in Pb–Pb collisions at sNN=5.02 and 2.76 TeV
. Phys. Lett. B 820,Inclusive heavy-flavour production at central and forward rapidity in Xe–Xe collisions at sNN = 5.44 TeV
. Phys. Lett. B 819,Measurement of the production cross section of prompt Ξc0 baryons at midrapidity in pp collisions at s = 5.02 TeV
. JHEP 2110, 159 (2021). arXiv:2105.05616, https://doi.org/10.1007/JHEP10(2021)159Measurement of the cross sections of Ξc0 and Ξc+ baryons and of the branching fraction ratio BR(Ξc0→Ξ−e+νe)/BR(Ξc0→Ξ−π+) in pp collisions at 13 TeV
. Phys. Rev. Lett. 127,Measurement of prompt J/ψ and beauty hadron production cross sections at mid-rapidity in pp collisions at s = 7 TeV
. JHEP 1211, 065 (2012). https://doi.org/10.1007/JHEP11(2012)065Inclusive, prompt and non-prompt J/ψ production at mid-rapidity in Pb–Pb collisions at sNN=2.76 TeV
. JHEP 1507, 051 (2015). arXiv:1504.07151, https://doi.org/10.1007/JHEP07(2015)051Prompt and non-prompt Jψ production and nuclear modification at mid-rapidity in p–Pb collisions at sNN=5 TeV
. Eur. Phys. J. C 78, 466 (2018). arXiv:1802.00765, https://doi.org/10.1140/epjc/s10052-018-5881-2Measurement of beauty and charm production in pp collisions at s = 5.02 TeV via non-prompt and prompt D mesons
. JHEP 2105, 220 (2021). arXiv:2102.13601, https://doi.org/10.1007/JHEP05(2021)220Measurement of beauty production via non-prompt D0 mesons in Pb–Pb collisions at sNN=5 TeV
. JHEP 2212, 126 (2022). arXiv:2202.00815, https://doi.org/10.1007/JHEP12(2022)126Transverse-momentum and event-shape dependence of D-meson flow harmonics in Pb–Pb collisions at sNN=5 TeV
. Phys. Lett. B 813,Prompt D0, D+, and D*+ production in Pb–Pb collisions at sNN=5 TeV
. JHEP 2201, 174 (2022). arXiv:2110.09420, https://doi.org/10.1007/JHEP01(2022)174Heavy quarks in the quark-gluon plasma
. 2010, pp. 111–206. arXiv:0903.1096, https://doi.org/10.1142/9789814293297_0003Diffusion of charmed quarks in the quark-gluon plasma
. Phys. Rev. D 37, 2484-2491 (1988). https://doi.org/10.1103/PhysRevD.37.2484Equation of state in (2+1)-flavor QCD
. Phys. Rev. D 90,Full result for the QCD equation of state with 2+1 flavors
. Phys. Lett. B 730, 99-104 (2014). arXiv:1309.5258, https://doi.org/10.1016/j.physletb.2014.01.007Longitudinal dependence of open heavy flavor RAA in relativistic heavy-ion collisions
. Phys. Rev. C 101,Measurement of non-prompt D0-meson elliptic flow in Pb–Pb collisions at sNN=5 TeV
. Eur. Phys. J. C 83, 1123 (2023). arXiv:2307.14084, https://doi.org/10.1140/epjc/s10052-023-12259-3RHIC and LHC jet suppression in non-central collisions
. Phys. Lett. B 737, 298-302 (2014). arXiv:1405.4250, https://doi.org/10.1016/j.physletb.2014.08.063Ds-meson as quantitative probe of diffusion and hadronization in nuclear collisions
. Phys. Rev. Lett. 110,Heavy flavor hadrons in statistical hadronization of strangeness-rich QGP
. Eur. Phys. J. C 51, 113-133 (2007). arXiv:hep-ph/0607203, https://doi.org/10.1140/epjc/s10052-007-0268-9Charmonium and open charm production in nuclear collisions at SPS/FAIR energies and the possible influence of a hot hadronic medium
. Phys. Lett. B 659, 149-155 (2008). arXiv:0708.1488, https://doi.org/10.1016/j.physletb.2007.10.064Λc enhancement from strongly coupled quark-gluon plasma
. Phys. Rev. Lett. 100,Heavy baryon/meson ratios in relativistic heavy ion collisions
. Phys. Rev. C 79,Propagation of heavy baryons in heavy-ion collisions
. Phys. Rev. D 94,Charmed hadrons from coalescence plus fragmentation in relativistic nucleus-nucleus collisions at RHIC and LHC
. Eur. Phys. J. C 78, 348 (2018). arXiv:1712.00730, https://doi.org/10.1140/epjc/s10052-018-5828-7Hadronization and charm-hadron ratios in heavy-ion collisions
. Phys. Rev. Lett. 124,In-medium hadronization of heavy quarks and its effect on charmed meson and baryon distributions in heavy-ion collisions
. Eur. Phys. J. C 82, 607 (2022). arXiv:2202.08732, https://doi.org/10.1140/epjc/s10052-022-10482-yExtraction of heavy-flavor transport coefficients in QCD matter
. Nucl. Phys. A 979, 21-86 (2018). arXiv:1803.03824, https://doi.org/10.1016/j.nuclphysa.2018.09.002Constraining hadronization mechanisms with Λc/D0 production ratios in Pb–Pb collisions
. Phys. Lett. B 839,Λc production in pp and in p–Pb collisions at sNN=5 TeV
. Phys. Rev. C 104,Measurement of beauty-strange meson production in Pb–Pb collisions at sNN=5 TeV via non-prompt Ds mesons
. Phys. Lett. B 846,Heavy flavor at the large hadron collider in a strong coupling approach
. Phys. Lett. B 735, 445-450 (2014). arXiv:1401.3817, https://doi.org/10.1016/j.physletb.2014.05.050Quark coalescence based on a transport equation
. Phys. Lett. B 655, 126-131 (2007). arXiv:0705.0021, https://doi.org/10.1016/j.physletb.2007.07.043Heavy quark correlations in hadron collisions at next-to-leading order
. Nucl. Phys. B 373, 295-345 (1992). https://doi.org/10.1016/0550-3213(92)90435-EThe pT spectrum in heavy-flavour hadroproduction
. JHEP 9805, 007 (1998). arXiv:hep-ph/9803400, https://doi.org/10.1088/1126-6708/1998/05/007Charm-quark fragmentation fractions and production cross section at midrapidity in pp collisions at the LHC
. Phys. Rev. D 105,Beauty production in pp collisions at s = 2.76 TeV measured via semi-electronic decays
. Phys. Lett. B 738, 97-108 (2014). arXiv:1405.4144, https://doi.org/10.1016/j.physletb.2014.09.026Measurement of electrons from beauty hadron decays in pp collisions at s=7 TeV
. Phys. Lett. B 721, 13-23 (2013). https://doi.org/10.1016/j.physletb.2013.01.069Prompt and non-prompt J/ψ production cross sections at midrapidity in proton–proton collisions at s=5.02 and 13 TeV
. JHEP 2203, 190 (2022). arXiv:2108.02523, https://doi.org/10.1007/JHEP03(2022)190Heavy flavour decay muon production at forward rapidity in proton–proton collisions at s = 7 TeV
. Phys. Lett. B 708, 265-275 (2012). arXiv:1201.3791, https://doi.org/10.1016/j.physletb.2012.01.063Production of muons from heavy-flavour hadron decays in pp collisions at s = 5.02 TeV
. JHEP 1909, 008 (2019). https://doi.org/10.1007/JHEP09(2019)008Charm production and fragmentation fractions at midrapidity in pp collisions at s=13 TeV
. JHEP 2312, 086 (2023). arXiv:2308.04877, https://doi.org/10.1007/JHEP12(2023)086Combined analysis of charm-quark fragmentation-fraction measurements
. Eur. Phys. J. C 76, 397 (2016). arXiv:1509.01061, https://doi.org/10.1140/epjc/s10052-016-4246-yMeasurements of azimuthal anisotropies at forward and backward rapidity with muons in high-multiplicity p–Pb collisions at sNN=8.16 TeV
. Phys. Lett. B 846,Further developments of a multi-phase transport model for relativistic nuclear collisions
. Nucl. Sci. Tech. 32, 113 (2021). arXiv:2110.02989, https://doi.org/10.1007/s41365-021-00944-5Collectivity of heavy mesons in proton–nucleus collisions
. Phys. Rev. D 102,Factorization of hard processes in QCD
. Adv. Ser. Direct. High Energy Phys. 5, 1-91 (1989). arXiv:hep-ph/0409313, https://doi.org/10.1142/9789814503266_0001High-energy factorization and small x heavy flavor production
. Nucl. Phys. B 366, 135-188 (1991). https://doi.org/10.1016/0550-3213(91)90055-3Hard scattering factorization with heavy quarks: a general treatment
. Phys. Rev. D 58,Unraveling higher twists
. Nucl. Phys. B 212, 29 (1983). https://doi.org/10.1016/0550-3213(83)90597-7Parton distribution functions, αs, and heavy-quark masses for LHC Run II
. Phys. Rev. D 96,Λc production and baryon-to-meson ratios in pp and p–Pb collisions at sNN=5 TeV at the LHC
. Phys. Rev. Lett. 127,Measurement of prompt D0, Λc+, and Σc0,++ (2455) production in proton–proton collisions at s=13 TeV
. Phys. Rev. Lett. 128,First measurement of Ωc0 production in pp collisions at s=13 TeV
. Phys. Lett. B 846,Charm fragmentation fractions and cc¯ cross section in p–Pb collisions at sNN=5 TeV
.. arXiv:2405.14571Small collision systems: Theory overview on cold nuclear matter effects
. EPJ Web Conf. 171, 11001 (2018). https://doi.org/10.1051/epjconf/201817111001Measurement of prompt D0, D+, D*+, and Ds production in p–Pb collisions at sNN=5 TeV
. JHEP 1912, 092 (2019). arXiv:1906.03425, https://doi.org/10.1007/JHEP12(2019)092First measurement of Λc production down to pT=0 in pp and p–Pb collisions at sNN=5 TeV
. Phys. Rev. C 107,Measurement of the production cross section of prompt Ξc0 baryons in p–Pb collisions at sNN=5 TeV
.. arXiv:2405.14538W±-boson production in p–Pb collisions at sNN = 8.16 TeV and Pb–Pb collisions at sNN=5 TeV
. JHEP 2305, 036 (2023). arXiv:2204.10640, https://doi.org/10.1007/JHEP05(2023)036Measurement of electrons from beauty-hadron decays in p–Pb collisions at sNN=5 TeV and Pb–Pb collisions at sNN = 2.76 TeV
. JHEP 1707, 052 (2017). arXiv:1609.03898, https://doi.org/10.1007/JHEP07(2017)052Measurement of inclusive charged-particle b-jet production in pp and p–Pb collisions at sNN=5 TeV
. JHEP 2201, 178 (2022). arXiv:2110.06104, https://doi.org/10.1007/JHEP01(2022)178Azimuthal anisotropy of heavy-flavor decay electrons in p–Pb collisions at sNN=5 TeV
. Phys. Rev. Lett. 122,Measurement of the radius dependence of charged-particle jet suppression in Pb–Pb collisions at sNN = 5.02 TeV
. Phys. Lett. B 849,Modification of charged-particle jets in event-shape engineered Pb–Pb collisions at sNN = 5.02 TeV
. Phys. Lett. B 851,Measurements of jet quenching using semi-inclusive hadron+jet distributions in pp and central Pb-Pb collisions at sNN=5.02 TeV
. Phys. Rev. C 110,Observation of medium-induced yield enhancement and acoplanarity broadening of low-pt jets from measurements in pp and central Pb-Pb collisions at sNN=5.02TeV
. Phys. Rev. Lett. 133,Multiplicity dependence of charged-particle jet production in pp collisions at s = 13 TeV
. Eur. Phys. J. C 82, 514 (2022). https://doi.org/10.1140/epjc/s10052-022-10405-xSearch for jet quenching effects in high-multiplicity pp collisions at s = 13 TeV via di-jet acoplanarity
. J. High Energy Phys. 2024, 229 (2024). https://doi.org/10.1007/JHEP05(2024)229Measurement of the angle between jet axes in Pb-Pb collisions at sNN=5.02 TeV
. (2023). arXiv:2303.13347Direct observation of the dead-cone effect in quantum chromodynamics
. Nature 605, 440-446 (2022). https://doi.org/10.1038/s41586-022-04572-wLetter of intent for an ALICE ITS upgrade in LS3
.. https://doi.org/10.17181/CERN-LHCC-2019-018Letter of intent: a forward calorimeter (focal) in the ALICE experiment
. (2020) https://cds.cern.ch/record/2719928Upgrade of the ALICE inner tracking system during LS3: study of physics performance
. (2023) https://cds.cern.ch/record/2868015Physics performance of the ALICE forward calorimeter upgrade
. (2023) https://cds.cern.ch/record/2869141Technical design report for the ALICE inner tracking system 3 - its3; a bent wafer-scale monolithic pixel detector
. (2024) https://cds.cern.ch/record/2890181Technical design report of the ALICE forward calorimeter (FoCal)
. (2024) https://cds.cern.ch/record/2890281Letter of intent for ALICE 3: a next-generation heavy-ion experiment at the LHC
. (2022). arXiv:2211.02491Dedicated to Professor Wenqing Shen in honour of his 80th birthday