Heavy ion physics with the ALICE experiment at LHC

ALICE is the experiment at the LHC collider at CERN dedicated to heavy ion physics. In this report, the ALICE detector will be presented, together with its expected performance as far as some selected physics topics are concerned.Comment: 5 pages, 3 figures, to be published in the Proceedings of the XLII Rencontres de Moriond, QCD and High Energy Hadronic Interaction session, La Thuile, Aosta, Italy, 17-24 March 200

Heavy Flavour Measurements in pp and Pb--Pb Collisions with the ALICE Experiment at LHC

Heavy flavour is mainly produced during the initial hard partonic interactions in a heavy ion collision, and is well-suited to probe the early phases of the evolution of the system. This contribution will focus on Pb--Pb analyses at a centre-of-mass energy per nucleon pair of 2.76 TeV, with some hints at the \pp data at 7 and 2.76 TeV. Results of open heavy flavour analyses will be shown for various decay channels, including electrons, muons, and hadronic charm decays, together with results obtained for heavy quarkonia at both central and forward rapidities.Comment: Proceedings of the conference: Primordial QCD Matter in LHC Era: Implications of LHC Results on the Early Universe - Cairo, 4-8 December 201

Charged Particle Multiplicity and Pseudorapidity Density Measurements in pp collisions with ALICE at the LHC

These proceedings describe the charged-particle pseudorapidity densities and multiplicity distributions measured by the ALICE detector in pp collisions at $\sqrt{s} = 0.9$ and 7 TeV in specific phase space regions. The pseudorapidity range $|\eta| < 0.8$, together with $p_{\rm T}$ cuts at 0.15, 0.5 and 1 GeV/$c$ is considered. The classes of events considered are those having at least one charged particle in the kinematical ranges just described. The results obtained by ALICE are compared to Monte Carlo predictions.Comment: Proceedings for EPS-HEP Conference held in Stockholm, Sweden, 18-24 July 201

Particle Identification with the ALICE detector at the LHC

ALICE is the LHC experiment dedicated to the study of Heavy-Ion collisions. Many observables related to the properties of the medium created in such collisions rely on the excellent capabilities of the detector in terms of Particle Identification (PID) of particles. In the following, the various PID techniques used for the different ALICE analyses will be described. Focus will be given to the detectors' performance, and selected results will be presented on pp data collected at sqrt(s) = 7 TeV and PbPb collisions at sqrt(s_NN) = 2.76 TeV.Comment: Proceeding of the Conference: Physics at LHC 2012, 3-9 June 201

First Results with the ALICE Experiment at LHC

In this paper, the first results from the ALICE experiment at LHC will be presented. The focus will be on Pb-Pb collisions at √s = 2.76TeV. An overview of the pp results at 0.9 and 7TeV will be also given

Online Calibration of the TPC Drift Time in the ALICE High Level Trigger

ALICE (A Large Ion Collider Experiment) is one of four major experiments at the Large Hadron Collider (LHC) at CERN. The High Level Trigger (HLT) is a compute cluster, which reconstructs collisions as recorded by the ALICE detector in real-time. It employs a custom online data-transport framework to distribute data and workload among the compute nodes. ALICE employs subdetectors sensitive to environmental conditions such as pressure and temperature, e.g. the Time Projection Chamber (TPC). A precise reconstruction of particle trajectories requires the calibration of these detectors. Performing the calibration in real time in the HLT improves the online reconstructions and renders certain offline calibration steps obsolete speeding up offline physics analysis. For LHC Run 3, starting in 2020 when data reduction will rely on reconstructed data, online calibration becomes a necessity. Reconstructed particle trajectories build the basis for the calibration making a fast online-tracking mandatory. The main detectors used for this purpose are the TPC and ITS (Inner Tracking System). Reconstructing the trajectories in the TPC is the most compute-intense step. We present several improvements to the ALICE High Level Trigger developed to facilitate online calibration. The main new development for online calibration is a wrapper that can run ALICE offline analysis and calibration tasks inside the HLT. On top of that, we have added asynchronous processing capabilities to support long-running calibration tasks in the HLT framework, which runs event-synchronously otherwise. In order to improve the resiliency, an isolated process performs the asynchronous operations such that even a fatal error does not disturb data taking. We have complemented the original loop-free HLT chain with ZeroMQ data-transfer components. [...]Comment: 8 pages, 10 figures, proceedings to 2016 IEEE-NPSS Real Time Conferenc

Has COVID-19 Delayed the Diagnosis and Worsened the Presentation of Type 1 Diabetes in Children?

Objective: To evaluate whether the diagnosis of pediatric type 1 diabetes or its acute complications changed during the early phase of the coronavirus disease 2019 (COVID-19) pandemic in Italy. Research design and methods: This was a cross-sectional, Web-based survey of all Italian pediatric diabetes centers to collect diabetes, diabetic ketoacidosis (DKA), and COVID-19 data in patients presenting with new-onset or established type 1 diabetes between 20 February and 14 April in 2019 and 2020. Results: Fifty-three of 68 centers (77.9%) responded. There was a 23% reduction in new diabetes cases in 2020 compared with 2019. Among those newly diagnosed patient who presented in a state of DKA, the proportion with severe DKA was 44.3% in 2020 vs. 36.1% in 2019 (P = 0.03). There were no differences in acute complications. Eight patients with asymptomatic or mild COVID-19 had laboratory-confirmed severe acute respiratory syndrome coronavirus 2. Conclusions: The COVID-19 pandemic might have altered diabetes presentation and DKA severity. Preparing for any "second wave" requires strategies to educate and reassure parents about timely emergency department attendance for non-COVID-19 symptoms

The Silent Epidemic of Diabetic Ketoacidosis at Diagnosis of Type 1 Diabetes in Children and Adolescents in Italy During the COVID-19 Pandemic in 2020

To compare the frequency of diabetic ketoacidosis (DKA) at diagnosis of type 1 diabetes in Italy during the COVID-19 pandemic in 2020 with the frequency of DKA during 2017-2019