Comparison of Point Cloud and Image-based Models for Calorimeter Fast Simulation

Score based generative models are a new class of generative models that have been shown to accurately generate high dimensional calorimeter datasets. Recent advances in generative models have used images with 3D voxels to represent and model complex calorimeter showers. Point clouds, however, are likely a more natural representation of calorimeter showers, particularly in calorimeters with high granularity. Point clouds preserve all of the information of the original simulation, more naturally deal with sparse datasets, and can be implemented with more compact models and data files. In this work, two state-of-the-art score based models are trained on the same set of calorimeter simulation and directly compared.Comment: 11 pages, 6 figures, 1 tabl

Isolated Photon Hadron Correlations in √sNN = 5.02 TeV pp and p–Pb Collisions

This work presents the measurement of isolated photon-hadron correlations and the first study of photon-tagged fragmentation in p–Pb at the Large Hadron Collider using pp and p–Pb data collected by the ALICE detector. Prompt photons produced at leading order in hard scatterings constrain the kinematics of the recoiling parton, enabling the study of parton energy loss and modification to the parton fragmentation function. For photons with |η| < 0.67 and 12 < pT < 40 GeV/c, the associated yield of charged particles in the previously unexplored kinematic range of 0.5 < pT < 8 GeV/c is measured. No significant difference between pp and p–Pb is observed. Pythia 8.2 and cold nuclear matter theoretical models can describe both data sets within uncertainties, setting constraints on cold nuclear matter effects on the parton fragmentation in p–Pb collisions

Isolated Photon Hadron Correlations in √sNN = 5.02 TeV pp and p–Pb Collisions

This work presents the measurement of isolated photon-hadron correlations and the first study of photon-tagged fragmentation in p–Pb at the Large Hadron Collider using pp and p–Pb data collected by the ALICE detector. Prompt photons produced at leading order in hard scatterings constrain the kinematics of the recoiling parton, enabling the study of parton energy loss and modification to the parton fragmentation function. For photons with |η| &lt; 0.67 and 12 &lt; pT &lt; 40 GeV/c, the associated yield of charged particles in the previously unexplored kinematic range of 0.5 &lt; pT &lt; 8 GeV/c is measured. No significant difference between pp and p–Pb is observed. Pythia 8.2 and cold nuclear matter theoretical models can describe both data sets within uncertainties, setting constraints on cold nuclear matter effects on the parton fragmentation in p–Pb collisions

Comparison of point cloud and image-based models for calorimeter fast simulation

Abstract: Score based generative models are a new class of generative models that have been shown to accurately generate high dimensional calorimeter datasets. Recent advances in generative models have used images with 3D voxels to represent and model complex calorimeter showers. Point clouds, however, are likely a more natural representation of calorimeter showers, particularly in calorimeters with high granularity. Point clouds preserve all of the information of the original simulation, more naturally deal with sparse datasets, and can be implemented with more compact models and data files. In this work, two state-of-the-art score based models are trained on the same set of calorimeter simulation and directly compared

EIC Physics from An All-Silicon Tracking Detector

The proposed electron-ion collider has a rich physics program to study the internal structure of protons and heavy nuclei. This program will impose strict requirements on detector design. This paper explores how these requirements can be satisfied using an all-silicon tracking detector, by consideration of three representative probes: heavy flavor hadrons, jets, and exclusive vector mesons.Comment: 48 pages, 55 figure

Energy dependence of exclusive J/ψ photoproduction off protons in ultra-peripheral p–Pb collisions at √sNN = 5.02 TeV

The ALICE Collaboration has measured the energy dependence of exclusive photoproduction of J/ψ vector mesons off proton targets in ultra–peripheral p–Pb collisions at a centre-of-mass energy per nucleon pair sNN=√5.02 TeV. The e + e − and μ+μ− decay channels are used to measure the cross section as a function of the rapidity of the J/ψ in the range −2.5<y<2.7 , corresponding to an energy in the γ p centre-of-mass in the interval 40<Wγp<550 GeV. The measurements, which are consistent with a power law dependence of the exclusive J/ψ photoproduction cross section, are compared to previous results from HERA and the LHC and to several theoretical models. They are found to be compatible with previous measurements

Event-shape engineering for the D-meson elliptic flow in mid-central Pb-Pb collisions at √sNN=5.02 TeV

The production yield of prompt D mesons and their elliptic flow coefficient v2 were measured with the Event-Shape Engineering (ESE) technique applied to mid-central (10–30% and 30–50% centrality classes) Pb-Pb collisions at the centre-of-mass energy per nucleon pair sNN−−−√=5.02 TeV, with the ALICE detector at the LHC. The ESE technique allows the classification of events, belonging to the same centrality, according to the azimuthal anisotropy of soft particle production in the collision. The reported measurements give the opportunity to investigate the dynamics of charm quarks in the Quark-Gluon Plasma and provide information on their participation in the collective expansion of the medium. D mesons were reconstructed via their hadronic decays at mid-rapidity, |η| < 0.8, in the transverse momentum interval 1 < pT < 24 GeV/c. The v2 coefficient is found to be sensitive to the event-shape selection confirming a correlation between the D-meson azimuthal anisotropy and the collective expansion of the bulk matter, while the per-event D-meson yields do not show any significant modification within the current uncertainties