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J.C. Sens

Researcher at CERN

Publications -  66
Citations -  1733

J.C. Sens is an academic researcher from CERN. The author has contributed to research in topics: Elastic scattering & Muon. The author has an hindex of 23, co-authored 66 publications receiving 1700 citations. Previous affiliations of J.C. Sens include Hungarian Academy of Sciences & Laboratoire d'Annecy-le-Vieux de physique des particules.

Papers
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Inelastic diffractive scattering at the CERN ISR

TL;DR: In this paper, the diffractive peak observed in the mass spectra of recoiling systems against high-momentum protons emerging from pp collisions at the CERN ISR has been investigated.
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Measurement and analysis of muonic X-ray spectra in spherical nuclei

TL;DR: In this paper, the 2p→1s and 3d→2p spectra were analyzed in terms of a two-parametric charge distribution of the Fermi type by solving the Dirac equation numerically.
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Measurement of the inclusive production of neutral pions and charged particles on the Z0 resonance

Bernardo Adeva, +489 more
- 18 Apr 1991 - 
TL;DR: In this article, the authors present a study of the inclusive production of neutral pions and charged particles from 112 000 hadronic Z 0 decays and compare their results to e + e − data between √ s = 9 and 91 GeV.
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Measurement and Analysis of Muonic X-Ray Spectra in Deformed Nuclei

TL;DR: In this article, the authors used a Ge Li-drifted detector to analyze Muonic X-ray spectra for a number of elements and separate isotopes between Z = 62 and Z = 94, where strong deviations from a spherical shape for the nuclear charge distribution due to collective effects occur.
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Studies of hadronic event structure and comparisons with QCD models at the Z$^0$ resonance

Bernardo Adeva, +498 more
TL;DR: In this article, the structure of hadronic events from Z ≥ 0 decay is studied by measuring event shape variables, factorial moments, and the energy flow distribution, after correction for detector effects and initial and final state radiation, compared with the predictions of different QCD Monte Carlo programs with optimized parameter values.