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Andrea Mairani

Researcher at Heidelberg University

Publications -  137
Citations -  6759

Andrea Mairani is an academic researcher from Heidelberg University. The author has contributed to research in topics: Proton therapy & Monte Carlo method. The author has an hindex of 32, co-authored 112 publications receiving 5223 citations. Previous affiliations of Andrea Mairani include German Cancer Research Center & Istituto Nazionale di Fisica Nucleare.

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The FLUKA Code: Developments and Challenges for High Energy and Medical Applications

TL;DR: The FLUKA Monte Carlo code as discussed by the authors is used extensively at CERN for all beam-machine interactions, radioprotection calculations and facility design of forthcoming projects, which requires the code to be consistently reliable over the entire energy range (from MeV to TeV) for all projectiles.
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The ALICE experiment at the CERN LHC

K. Aamodt, +1154 more
TL;DR: The Large Ion Collider Experiment (ALICE) as discussed by the authors is a general-purpose, heavy-ion detector at the CERN LHC which focuses on QCD, the strong-interaction sector of the Standard Model.
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Overview of the FLUKA code

TL;DR: The capabilities and physics models implemented inside the FLUKA code are briefly described, with emphasis on hadronic interaction as discussed by the authors, and examples of the performances of the code are presented including basic (thin target) and complex benchmarks, and radiation detector specific applications.
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The FLUKA Code: An Accurate Simulation Tool for Particle Therapy.

TL;DR: Refinements of the FLUKA nuclear models in the therapeutic energy interval lead to an improved description of the mixed radiation field as shown in the presented benchmarks against experimental data with both 4He and 12C ion beams.
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Monte Carlo simulations to support start-up and treatment planning of scanned proton and carbon ion therapy at a synchrotron-based facility

TL;DR: Information and guidelines for the start-up and clinical operation of forthcoming ion beam therapy facilities similar to HIT are provided and MC dose calculations of planned treatments in water are shown to represent a valuable tool for supporting treatment plan verification in comparison to dosimetric measurements.