2022-11-30
11:23 |
EULIMA Beam Delivery
/ Farley, F.J.M. (CAL, Nice) ; Carli, C. (CERN)
The beam delivery system planned for EULIMA will use a small spot which will be scanned over the tumour volume. The spot will be sufficiently small that the edge can be defined sharplyenough without adding collimators. [...]
1991 - 4 p.
Fulltext: PDF;
In : Proton Radiotherapy Workshop, PSI, Villigen, Switzerland, 28 Feb - 1 Mar 1991, pp.21-24
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2022-11-30
10:59 |
Sub-25 ps timing measurements with $10 \times 10$ cm$^2$ PICOSEC Micromegas detectors
/ Lisowska, M (CERN ; U. Paris-Saclay) ; Bortfeldt, J (Munich U.) ; Brunbauer, F (CERN) ; Fanourakis, G (Democritos Nucl. Res. Ctr.) ; Floethner, K J (CERN ; Helmholtz Inst., Mainz) ; Gallinaro, M (LIP, Lisbon) ; Garcia, F (Helsinki Inst. of Phys.) ; Giomataris, I (IRFU, Saclay) ; Gustavsson, T (LIDYL, Saclay) ; Iguaz, F J (IRFU, Saclay) et al.
The PICOSEC Micromegas detector is a precise timing gaseous detector based on a Cherenkov radiator coupled to a semi-transparent photocathode and a Micromegas amplifying structure. First single-pad prototypes demonstrated a time resolution below 𝜎 = 25 ps, however, to make the concept appropriate to physics applications, several developments are required. [...]
2023 - 7 p.
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2022-11-30
10:59 |
Decentralized Federated Learning for Healthcare Networks: A Case Study on Tumor Segmentation
/ Camajori Tedeschini, Bernardo (Milan, Polytech.) ; Savazzi, Stefano (ISTP, Milan) ; Stoklasa, Roman (CERN) ; Barbieri, Luca (Milan, Polytech.) ; Stathopoulos, Ioannis (CERN) ; Nicoli, Monica (Milan, Polytech.) ; Serio, Luigi (CERN)
2022 - 16 p.
- Published in : IEEE Access 10 (2022) 8693-8708
Fulltext: PDF;
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2022-11-30
10:59 |
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2022-11-30
10:59 |
Survival of newly formed particles in haze conditions
/ Marten, Ruby (PSI, Villigen) ; Xiao, Mao (PSI, Villigen) ; Rorup, Birte (Helsinki U.) ; Wang, Mingyi (Carnegie Mellon U.) ; Kong, Weimeng (Caltech) ; He, Xu-Cheng (Helsinki U.) ; Stolzenburg, Dominik (Helsinki U.) ; Pfeifer, Joschka (CERN ; Frankfurt U., FIAS ; Frankfurt U.) ; Marie, Guillaume (Frankfurt U., FIAS ; Frankfurt U.) ; Wang, Dongyu S (PSI, Villigen) et al.
Intense new particle formation events are regularly observed under highly polluted conditions, despite the high loss rates of nucleated clusters. Higher than expected cluster survival probability implies either ineffective scavenging by pre-existing particles or missing growth mechanisms. [...]
2022 - 9 p.
- Published in : Environmental Science: Atmospheres 2 (2022) 491-499
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2022-11-30
10:59 |
Improving Parametric Neural Networks for High-Energy Physics (and Beyond)
/ Anzalone, Luca (U. Bologna, DIFA ; INFN, Bologna) ; Diotalevi, Tommaso (U. Bologna, DIFA ; CERN ; INFN, Bologna) ; Bonacorsi, Daniele (U. Bologna, DIFA ; INFN, Bologna)
Signal-background classification is a central problem in High-Energy Physics (HEP), that plays a major role for the discovery of new fundamental particles. A recent method -- the Parametric Neural Network (pNN) -- leverages multiple signal mass hypotheses as an additional input feature to effectively replace a whole set of individual classifiers, each providing (in principle) the best response for the corresponding mass hypothesis. [...]
arXiv:2202.00424.-
2022 - 21 p.
- Published in : Mach. Learn. Sci. Tech. 3 (2022) 035017
Fulltext: 2202.00424 - PDF; Publication - PDF;
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2022-11-30
10:59 |
The HEV Ventilator: at the interface between particle physics and biomedical engineering
/ Buytaert, Jan (CERN) ; Collins, Paula (CERN ; Liverpool U.) ; Abud, Adam Abed (CERN ; Liverpool U.) ; Allport, Phil (Birmingham U.) ; Álvarez, Antonio Pazos (Santiago de Compostela U., IGFAE) ; Akiba, Kazuyoshi (Nikhef, Amsterdam) ; de Aguiar Francisco, Oscar Augusto (CERN ; Manchester U.) ; Bay, Aurelio (Ecole Polytechnique, Lausanne) ; Bernard, Florian (Ecole Polytechnique, Lausanne) ; Baron, Sophie (CERN) et al.
A high-quality, low-cost ventilator, dubbed HEV, has been developed by the particle physics community working together with biomedical engineers and physicians around the world. The HEV design is suitable for use both in and out of hospital intensive care units, provides a variety of modes and is capable of supporting spontaneous breathing and supplying oxygen-enriched air. [...]
2022 - 20 p.
- Published in : 10.1098/rsos.211519
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2022-11-30
10:59 |
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2022-11-30
10:59 |
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2022-11-30
10:59 |
Dyad’s consonance and dissonance: combining the compactness and roughness approaches
/ Masina, Isabella (Ferrara U. ; INFN, Ferrara) ; Lo Presti, Giuseppe (CERN) ; Stanzial, Domenico (Ferrara U.)
At present, there are two approaches that aim at explaining on physical grounds the psychoacoustic perception of consonance and dissonance for dyads, whose pioneers have been, respectively, Galilei and Helmholtz: One is based on the “compactness” of the waveform of the combined signal, while the other on the absence of “roughness” due to possible beats. We perform a detailed study of each approach and find that none of the associated model versions, not even the more refined ones, is fully satisfactory when faced to perceptual data on dyads [...]
2022 - 24 p.
- Published in : Eur. Phys. J. Plus 137 (2022) 1254
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