Hasil Pencarian  ::  Simpan CSV :: Kembali

"Il libro intende fornire le conoscenze teoriche e fenomenologiche di base della struttura della materia a livello subatomico, presentando in maniera coordinata concetti e caratteristiche della fisica nucleare e della fisica delle particelle. Partendo da un livello di base (nomenclatura, classificazione, tecniche di accelerazione e di rivelazione delle particelle), si passano in rassegna le proprietà delle interazioni fondamentali (elettromagnetica, debole e forte). Vengono descritti poi i risultati che confermano il Modello Standard del microcosmo, per terminare con i problemi ancora aperti. Questa seconda edizione, riveduta, corretta e ampliata, nasce a seguito della traduzione in Inglese del libro effettuata dagli stessi autori. Oltre ad una rilettura critica e accurata di ogni paragrafo (necessaria quando si vuole esprimere in altra lingua un concetto), abbiamo inserito alcune figure nuove e una sezione che si riferisce ai primi risultati di fisica ottenuti con l'acceleratore LHC al CERN. Il numero di esercizi (testo disponibile sul sito Springer) è raddoppiato rispetto alla precedente versione. Il libro è organizzato in modo da coprire gli argomenti dei corsi di Fisica Nucleare e Subnucleare della Laurea in Fisica, e dei corsi di Fisica delle Particelle della Laurea Magistrale. "

"This volume is an exercises and solutions manual that complements the book "Particles and Fundamental Interactions" by Sylvie Braibant, Giorgio Giacomelli, and Maurizio Spurio. It aims to give additional intellectual stimulation for students in experimental particle physics. It will be a helpful companion in the preparation of a written examination, but also it provides a means to gaining a deeper understanding of high energy physics. The problems proposed are sometimes true and important research questions, which are described and solved in a step-by-step manner. In addition to the problems and solutions, this book offers fifteen Supplements that give further insight into topical subjects related to particle accelerators, signal and data acquisition systems and computational methods to treat them."

"Telah dibuat model ponelsial kaon-nukleon (KK), Potensial ini diturunkan dari diagram Feynman, berdasarkan reaksi pertukaran hyperon untuk orde terendah. Potensial yang dihasilkan difit terhadap data cross section total sehingga diperoleh nilai konstanta kopling.

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A Potential model is made for kaon-nucleon (KN) interaction. This Potential is derived from Feynman diagram for hyperon exchange reaction of lowest order. This potential is fitted to total cross section to get the copling constant."

"ABSTRAK

Elektroproduksi kaon merupakan bagian dari produksi meson yang masih belum dipahami dan didalami. Faktor bentuk elektromagnetik yang terlibat membuat sulitnya ditetapkan suatu model. Namun, apabila ditemukan faktor bentuk elektromagnetik yang sesuai, tentu dapat dimodelkan struktur elektromagnetik dari hadron yang sesuai pula. Dalam penelitian ini, model multipol digunakan untuk mempelajari faktor bentuk elektromagnetik dari hadron dan kontribusi resonan pada elektroproduksi kaon-lambda. Model ini menunjukkan kecocokan dengan data eksperimen yang ada.

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ABSTRACT

 

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Kaon electroproduction is a meson production that is yet less understood and analyzed. The electromagnetic form factor involved makes it hard for a model to be settled. Yet, if a proper electromagnetic form factor is found, an electromagnetic structure of hadron can be thoroughly studied. In this research, we use multipole model to study electromagnetic form factor of hadron and resonance contribution in kaon-lambda electroproduction. The model shows good agreement with the presently available experimental data.

 

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"This paper proposes a study on the comparison of particle swarm optimization with genetic algorithm for molten pool detection in fixed aluminum pipe welding. The research was conducted for welding of aluminum alloy Al6063S-T6 with a controlled welding speed and a Charge-couple Device (CCD) camera as vision sensor. Omnivision-based monitoring using a hyperboloidal mirror was used to detect the molten pool. In this paper, we propose an optimized brightness range for detecting the molten pool edge using particle swarm optimization and compare the results to genetic algorithm. The values of the brightness range were applied to the real time control system using fuzzy inference system. Both optimization methods showed good results on the edge detection of the molten pool. The results of experiments with control show the effectiveness of the image processing algorithm and control process."

"Dalam beberapa puluh tahun terakhir, fotoproduksi kaon telah menjadi salah satu kanal yang dikenal berpotensi untuk menemukan missing resonances yang telah diprediksi oleh Quark Model, akan tetapi belum dikonfirmasi oleh eksperimen. Namun kanal reaksi ini memiliki kesulitan-kesulitan tersendiri, yaitu cross section rendah dan energi threshold yang sangat tinggi. Energi threshold untuk fotoproduksi kaon adalah 911 MeV, sangat tinggi jika dibandingkan dengan energi threshold untuk fotoproduksi pion, yaitu 150 MeV. Penentuan background yang tepat menjadi penting untuk menentukan kontribusi resonans. Saat ini kontribusi resonans dapat ditentukan dengan menggunakan sebuah metode pengambilan keputusan dalam statistik, yang disebut dengan Metode Bayesian. Metode ini tidak hanya mengevaluasi sebuah model pada seluruh parameternya, namun juga memasukkan distribusi prior dan data eksperimen ke dalam perhitungan. Analisis menggunakan metode ini menunjukkan bahwa sekumpulan resonans menggambarkan proses fotoproduksi kaon dengan lebih baik dari pada sekumpulan resonans lainnya.

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Kaon photoproduction has drawn considerable attention for decades as one of the promising processes to find the missing nucleon resonances, predicted by quark model but not listed yet by the Particle Data Group. Nevertheless, this channel has a unique difficulty, e.g., the small cross section and high threshold energy. the threshold energy for kaon photoproduction is 911 MeV, significantly high compared with that of the pion photoproduction, i.e. 150 MeV. Determining the background part of the process becomes a daunting task in order to approximate the resonance contribution. At present, the resonance contribution can be determined by using an established statistical decision making method, which is called the Bayesian Method. This method does not only evaluate the model over its entire parameter space, but also takes the prior information and experimental data into account. Analysis using this Bayesian Method showed that a set of resonances can describe kaon photoproduction better than others."