Study and implementation of beam lines and devices \nfor the acceleration, transport and manipulation \nof laser-accelerated particle beams.
Notice bibliographique
Résumé
Undertaking the path of academic research as an alternative to a more conventional professional position as an engineer has not been straightforwardly planned, easy choice.After having graduated from my Master's degree, in July 2013, I did two promising job interviews and nothing seemed to lead me to extending my university studies further.What I had not taken into account were the persuasive skills of Patrizio Antici who had been my thesis supervisor for the previous six months.He had made me familiar with the topic of proton acceleration via laserplasma interaction and collaborating with him had given very good results.During a lunch break at the department of Applied Science for Engineering of the university of Rome "La Sapienza" we had the conversation that would have determined the following three and a half years of my life, at least from the scientific point of view.He told me about the interesting prospects of continuing the work that we had started together and suggested me to apply for a doctoral student position at "La Sapienza".My journey through diverging electron beams and unreliable proton sources, too high emittances and unwieldy beam lines, unclear manuscripts and fussy referees, had just begun.The collaboration with Patrizio became even stronger about one year later, as he accepted to become my thesis supervisor at the Institut National de la Recherche Scientifique, when I signed an agreement for an Italian-Canadian joint doctorate.Doing my Ph.D. under Patrizio's direction has been an extremely rewarding experience, from the scientific and personal point of view, that I would repeat at any time.This is the reason why the first acknowledgment spontaneously goes to Patrizio, for having guided me throughout these years, for having given me some hard and challenging times but also often enjoyable and amusing moments, for the many advises and the mentoring, and for the continuous support he has given and still is giving me today.I truly thank him for everything.My doctoral studies would not have been possible without the endorsement and the supervision of Prof. Luigi Palumbo, the thesis director at my home university in Rome.He has welcomed me in his research group and has always supported my work and my initiatives, driving me to the pursuit of valuable scientific results and cultural growth.During this experience I have had the possibility of cooperating with the particle accelerator group of "La Sapienza", learning from some of the best scientists operating in this field.It is impossible to list them all, but among them, I would like to thank especially Mauro Migliorati, Andrea Mostacci, Livia Lancia and Luca Ficcadenti, who I have had the pleasure to work with in a continuous way.I would like to thank the staff members of the Canadian institute INRS, the partner university for the joint supervision of my Ph.D., I have had the honor to collaborate with.Among them, a special
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,009 | 0,003 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».