1 resultado para "Bootstrap"
em CaltechTHESIS
Filtro por publicador
- Aberdeen University (2)
- Aberystwyth University Repository - Reino Unido (1)
- Academic Archive On-line (Mid Sweden University; Sweden) (1)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (3)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (4)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (5)
- Aquatic Commons (3)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (1)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (4)
- Aston University Research Archive (13)
- Biblioteca de Teses e Dissertações da USP (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (11)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (17)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (27)
- Brock University, Canada (6)
- Bucknell University Digital Commons - Pensilvania - USA (1)
- Bulgarian Digital Mathematics Library at IMI-BAS (4)
- CaltechTHESIS (1)
- Cambridge University Engineering Department Publications Database (4)
- CentAUR: Central Archive University of Reading - UK (29)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (23)
- Cochin University of Science & Technology (CUSAT), India (2)
- Collection Of Biostatistics Research Archive (6)
- Dalarna University College Electronic Archive (2)
- Digital Commons - Michigan Tech (1)
- Digital Commons at Florida International University (4)
- Digital Peer Publishing (1)
- DigitalCommons@The Texas Medical Center (6)
- DigitalCommons@University of Nebraska - Lincoln (1)
- DRUM (Digital Repository at the University of Maryland) (2)
- Duke University (3)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (2)
- Glasgow Theses Service (2)
- Greenwich Academic Literature Archive - UK (1)
- Helda - Digital Repository of University of Helsinki (9)
- Indian Institute of Science - Bangalore - Índia (16)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (5)
- Massachusetts Institute of Technology (2)
- Memoria Académica - FaHCE, UNLP - Argentina (2)
- Ministerio de Cultura, Spain (7)
- National Center for Biotechnology Information - NCBI (10)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (2)
- Portal do Conhecimento - Ministerio do Ensino Superior Ciencia e Inovacao, Cape Verde (2)
- Publishing Network for Geoscientific & Environmental Data (1)
- QSpace: Queen's University - Canada (2)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (2)
- Queensland University of Technology - ePrints Archive (39)
- Repositorio Académico de la Universidad Nacional de Costa Rica (1)
- Repositório Científico da Universidade de Évora - Portugal (3)
- Repositório digital da Fundação Getúlio Vargas - FGV (20)
- REPOSITORIO DIGITAL IMARPE - INSTITUTO DEL MAR DEL PERÚ, Peru (2)
- Repositório Institucional da Universidade de Aveiro - Portugal (1)
- Repositório Institucional da Universidade de Brasília (1)
- Repositório Institucional da Universidade Federal do Rio Grande do Norte (1)
- Repositorio Institucional de la Universidad de Málaga (4)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (40)
- Repositorio Institucional Universidad de Medellín (1)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (4)
- SAPIENTIA - Universidade do Algarve - Portugal (2)
- Savoirs UdeS : plateforme de diffusion de la production intellectuelle de l’Université de Sherbrooke - Canada (2)
- Scielo Uruguai (1)
- Universidad de Alicante (1)
- Universidad del Rosario, Colombia (6)
- Universidad Politécnica de Madrid (14)
- Universidade Complutense de Madrid (3)
- Universidade Federal de Uberlândia (1)
- Universidade Federal do Pará (14)
- Universidade Federal do Rio Grande do Norte (UFRN) (6)
- Universidade Metodista de São Paulo (4)
- Universita di Parma (1)
- Universitat de Girona, Spain (1)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (5)
- Université de Lausanne, Switzerland (1)
- Université de Montréal (3)
- Université de Montréal, Canada (44)
- University of Canberra Research Repository - Australia (1)
- University of Connecticut - USA (2)
- University of Queensland eSpace - Australia (14)
- University of Washington (4)
Resumo:
A review is presented of the statistical bootstrap model of Hagedorn and Frautschi. This model is an attempt to apply the methods of statistical mechanics in high-energy physics, while treating all hadron states (stable or unstable) on an equal footing. A statistical calculation of the resonance spectrum on this basis leads to an exponentially rising level density ρ(m) ~ cm-3 eβom at high masses.
In the present work, explicit formulae are given for the asymptotic dependence of the level density on quantum numbers, in various cases. Hamer and Frautschi's model for a realistic hadron spectrum is described.
A statistical model for hadron reactions is then put forward, analogous to the Bohr compound nucleus model in nuclear physics, which makes use of this level density. Some general features of resonance decay are predicted. The model is applied to the process of NN annihilation at rest with overall success, and explains the high final state pion multiplicity, together with the low individual branching ratios into two-body final states, which are characteristic of the process. For more general reactions, the model needs modification to take account of correlation effects. Nevertheless it is capable of explaining the phenomenon of limited transverse momenta, and the exponential decrease in the production frequency of heavy particles with their mass, as shown by Hagedorn. Frautschi's results on "Ericson fluctuations" in hadron physics are outlined briefly. The value of βo required in all these applications is consistently around [120 MeV]-1 corresponding to a "resonance volume" whose radius is very close to ƛπ. The construction of a "multiperipheral cluster model" for high-energy collisions is advocated.