activity
20192025
most citedProduction of charged pions, kaons and (anti-)protons in Pb-Pb and inelastic pp collisions at = 5.02 TeV

251 citations · 553 across the 14 of their papers we have counts for

collaborators

14 papers

physics.comp-ph2025

Reconstruction of proton relative stopping power with a granular calorimeter detector model

M. Aehle, J. Alme, G. G. Barnaföldi +49

Proton computed tomography (pCT) aims to facilitate precise dose planning for hadron therapy, a promising and effective method for cancer treatment. Hadron therapy utilizes protons…

physics.ins-det2023★ 5 cited

Performance of the electromagnetic and hadronic prototype segments of the ALICE Forward Calorimeter

M. Aehle, J. Alme, C. Arata +74

We present the performance of a full-length prototype of the ALICE Forward Calorimeter (FoCal). The detector is composed of a silicon-tungsten electromagnetic sampling calorimeter…

nucl-ex2022★ 19 cited

suppression in Pb-Pb collisions at the LHC

ALICE Collaboration

The production of the charmonium state was measured with ALICE in Pb-Pb collisions at TeV, in the dimuon decay channel. A significant signal was ob…

physics.ins-det2022★ 6 cited

Performance of the Electromagnetic Pixel Calorimeter Prototype EPICAL-2

J. Alme, R. Barthel, A. van Bochove +31

The first evaluation of an ultra-high granularity digital electromagnetic calorimeter prototype using 1.0-5.8 GeV/c electrons is presented. The pixel detector consis…

physics.ins-det2022★ 6 cited

Results from the EPICAL-2 Ultra-High Granularity Electromagnetic Calorimeter Prototype

T. Peitzmann, J. Alme, R. Barthel +31

A prototype of a new type of calorimeter has been designed and constructed, based on a silicon-tungsten sampling design using pixel sensors with digital readout. It makes use of th…

physics.med-ph2022

Exploration of Differentiability in a Proton Computed Tomography Simulation Framework

Max Aehle, Johan Alme, Gergely Gábor Barnaföldi +47

Objective. Algorithmic differentiation (AD) can be a useful technique to numerically optimize design and algorithmic parameters by, and quantify uncertainties in, computer simulati…