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Academic literature on the topic 'Faisceaux de particules – Modèles mathématiques'
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Dissertations / Theses on the topic "Faisceaux de particules – Modèles mathématiques"
Guiberteau, Emmanuel. "Modélisation d'une décharge DC pulsée dans l'azote : simulations numériques à l'aide d'un code couplant la dynamique des particules chargées à celle du gaz neutre : comparaisons avec l'expérience." Nancy 1, 1998. http://docnum.univ-lorraine.fr/public/SCD_T_1998_0291_GUIBERTEAU.pdf.
Full textThis work deals the modeling of a dc pulsed diode type discharge used for iron and steel nitriding. The present research aimed at a better understanding of the processes occuring in such plasmas in order to attain an optimization of the surface treatment process. In a first stage we adapted an existing electrical modeling to the experimental results obtained from electrostatic probe and emission spectroscopy measurements. These preliminary results showed a roughly good agreement between the modeling and the experiment and pointed out the limits of this simulation. Two improvements have thus been made to this basic model: a better description of the electron population using a monoenergetic electron beam ; a coupling with a modeling of the neutral gas dynamics. The first improvement led to a better description of the various regions of the discharge (in particular the negative glow) and to get an excellent agreement between numerical and experimental results in the case of short duration impulse discharges. The second improvement showed the importance and the need for taking into account the heating of neutral gas in the case of discharge on-time greater than a few hundreds of microseconds
Crestetto, Anaïs. "Optimisation de méthodes numériques pour la physique des plasmas : application aux faisceaux de particules chargées." Phd thesis, Université de Strasbourg, 2012. http://tel.archives-ouvertes.fr/tel-00735569.
Full textGueroult, Renaud. "Étude d'une source d'ions obtenue par extraction et accélération à partir d'une source plasma filaire." Phd thesis, Palaiseau, Ecole polytechnique, 2011. https://pastel.hal.science/docs/00/64/68/21/PDF/these.pdf.
Full textIn this study we first model a DC low pressure wire plasma source and then characterize the properties of an ion gun derived from the plasma source. In order to study the properties of the derived ion gun, we develop a particle-in-cell code fitted to the modelling of the wire plasma source operation, and validate it by confrontation with the results of an experimental study. In light of the simulation results, an analysis of the wire discharge in terms of a collisional Child-Langmuir ion flow in cylindrical geometry is proposed. We interpret the mode transition as a natural reorganisation of the discharge when the current is increased above a threshold value which is a function of the discharge voltage, the pressure and the inter-electrodes distance. In addition, the analysis of the energy distribution function of ions impacting the cathode demonstrates the ability to extract an ion beam of low energy spread around the discharge voltage assuming that the discharge is operated in its high pressure mode. An ion source prototype allowing the extraction and acceleration of ions from the wire source is then proposed. The experimental study of such a device confirms that, apart from a shift corresponding to the accelerating voltage, the acceleration scheme does not spread the ion velocity distribution function along the axis of the beam. It is therefore possible to produce tunable energy (0-5 keV) ion beams of various ionic species presenting limited energy dispersion (~ 10 eV). The typical beam currents are about a few tens of micro-amperes, and the divergence of such a beam is on the order of one degree. A numerical modelling of the ion source is eventually conducted in order to identify potential optimizations of the concept
Michaud, Julien. "Effet des déflecteurs électrostatiques et des champs de fuite associés sur la cohérence de spin pour la mesure du moment électrique dipolaire du proton sur anneau de stockage." Thesis, Université Grenoble Alpes (ComUE), 2019. http://www.theses.fr/2019GREAY031.
Full textParticle accelerators are one of the most efficient ways to study matter andelementary particles, as proved by the recent discovery of the Higgs Bosonon the Large Hadron Collider.The JEDI collaboration propose to measurethe value of the proton electric dipole moment (EDM) with a precision of〖10〗^(-29) e.cm using a storage ring.A measurement of such a value of EDM, above the extremely small predictionof Standard Model would lead to new physics, by adding an additionalsource of CP violation. The CP violation is one of the three conditionsnecessary to explain the un-understanded asymetry between matter andantimatter in the universe.In order to achieve this 〖10〗^(-29)e.cm precision, one need to store the measuredparticles for many seconds in an electric field : a storage ring appearsas an ideal solution for charged particles. One of the main issues consistsin keeping the beam spin-coherent during the whole duration of the measurement.An excellent control of systematics and understanding of thespin dynamics to perform this measurement are mandatory.The electrostatic deflectors used in the experiment to provide both bendingand EDM-induced spin precession could lead to systematic errors andspin decoherence. The internal part of the deflectors and especially theirfringe fields need to be understand, in terms of trajectories and spin dynamics.This thesis provide models for fields, trajectories, spin dynamics and alsoresults about the spin decoherence induced by the deflectors.The first part is dedicated to the context around EDM measurements,and will then focus on the storage ring method. Also a first approach tothe spin precession equation and spin coherence time will be done, and theproblematic about the electrostatic deflectors exposed.The second part describes in details the analytic or semi-analytic modelswe developed. The first model describes the electric fringe field of thedeflector, using conformal mapping.This model takes into account boundary conditions like the vacuum chamberor a diaphragm and propose universal formulas as a function of theratio between gap and radius. The second model concerns trajectories inthe deflector and the fringe fields.It is using an Hamiltonian integration, variation of parameters and quadratureformulas to integrate the previously found field. This is done at thesecond order.The last model is about spin dynamics and allows the user to compute thespin total precession in the deflector or the fringe fields by using a list ofintegrals of the field. The final spin transfer solution is a function of theinitial conditions (x,px,y,py,dz,_P/P) at the second order.The last part shows the implementation on BMAD and the differenteffects of deflectors/fringe fields on the spin coherence time
Gueroult, Renaud. "Étude d'une source d'ions obtenue par extraction et accélération à partir d'une source plasma filaire." Phd thesis, Ecole Polytechnique X, 2011. http://pastel.archives-ouvertes.fr/pastel-00646821.
Full textGoutierre, Emmanuel. "Machine learning-based particle accelerator modeling." Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPASG106.
Full textParticle accelerators rely on high-precision simulations to optimize beam dynamics. These simulations are computationally expensive, making real-time analysis impractical. This thesis seeks to address this limitation by exploring the potential of machine learning to develop surrogate models for particle accelerator simulations. The focus is on ThomX, a compact Compton source, where two surrogate models are introduced: LinacNet and Implicit Neural ODE (INODE). These models are trained on a comprehensive database developed in this thesis that captures a wide range of operating conditions to ensure robustness and generalizability. LinacNet provides a comprehensive representation of the particle cloud by predicting all coordinates of the macro-particles, rather than focusing solely on beam observables. This detailed modeling, coupled with a sequential approach that accounts for cumulative particle dynamics throughout the accelerator, ensures consistency and enhances model interpretability. INODE, based on the Neural Ordinary Differential Equation (NODE) framework, seeks to learn the implicit governing dynamics of particle systems without the need for explicit ODE solving during training. Unlike traditional NODEs, which struggle with discontinuities, INODE is theoretically designed to handle them more effectively. Together, LinacNet and INODE serve as surrogate models for ThomX, demonstrating their ability to approximate particle dynamics. This work lays the groundwork for developing and improving the reliability of machine learning-based models in accelerator physics
Vireton, Eric. "Contribution à la modélisation de la pulvérisation par faisceaux d'ions." Lyon 1, 1993. http://www.theses.fr/1993LYO10132.
Full textFoudhil, Hadjira. "Développement d'un modèle numérique de dispersion atmosphérique de particules à l'échelle d'un paysage hétérogène." Bordeaux 1, 2002. http://www.theses.fr/2002BOR12525.
Full textDénes, Bejat Tímea. "Contribution expérimentale et numérique à l'étude du dépôt des particules fines dans les cavités ventilés." La Rochelle, 2007. http://www.theses.fr/2007LAROS214.
Full textOur contribution to particle pollution studies brings at the same time an experimental and a numerical complement to the existing knowledge on indoor air quality in buildings. At the beginning we made a state of art of previous studies on fine particle dispersion and deposition in ventilated cavities. Our experimental studies were dedicated to carrying out measurements on particle deposition in two test chambers in 1 to 4 size scale relation. Our contribution highlighted the dispersion of bibliographic results and the comparison difficulty between results coming from different scale chambers. In each case, we studied simultaneously the particle deposition in function of ventilation strategy and of air change rate. During a more detailed numerical analysis, first we determined the fluid flow pattern and then particle dispersion and deposition in the ventilated cavity. At the beginning we used a Lagrangian numerical code developed in our laboratory where we integrated Brownian diffusion effects, but this approach becomes rapidly too expensive thus ineffective for simulations concerning particles smaller than 0. 5 µm diameter. For this reason we tested an Eulerian approach which seemed to be more adapted for submicron sized particles. In fact, the calculated values in comparison with measured ones prove a better performance of the Eulerian method for this particle size interval
Angilella, Jean-Régis. "Étude asymptotique et numérique de la modification de la turbulence par des particules inertielles." Toulouse, INPT, 1995. http://www.theses.fr/1995INPT124H.
Full textBooks on the topic "Faisceaux de particules – Modèles mathématiques"
D, Ridley K., ed. Modeling fluctuations in scattered waves. Boca Raton, FL: CRC Press, 2006.
Find full textHuang, Xiaobiao. Beam-Based Correction and Optimization for Accelerators. Taylor & Francis Group, 2019.
Find full textHuang, Xiaobiao. Beam-Based Correction and Optimization for Accelerators. Taylor & Francis Group, 2019.
Find full textHuang, Xiaobiao. Beam-Based Correction and Optimization for Accelerators. Taylor & Francis Group, 2019.
Find full textBeam-Based Correction and Optimization for Accelerators. Taylor & Francis Group, 2019.
Find full textCsele, Mark Steven. Laser Modeling: A Numerical Approach with Algebra and Calculus. Taylor & Francis Group, 2017.
Find full textCsele, Mark Steven. Laser Modeling: A Numerical Approach with Algebra and Calculus. Taylor & Francis Group, 2014.
Find full textCsele, Mark Steven. Laser Modeling: A Numerical Approach with Algebra and Calculus. Taylor & Francis Group, 2017.
Find full textCsele, Mark Steven. Laser Modeling: A Numerical Approach with Algebra and Calculus. Taylor & Francis Group, 2017.
Find full textCsele, Mark Steven. Laser Modeling: A Numerical Approach with Algebra and Calculus. Taylor & Francis Group, 2017.
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