ExpHEP < Main

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---+!! Experimental Collider Physics

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_CMS Detector_ 
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---++Professores
*Sérgio Novaes, Pedro Mercadante e Thiago Tomei (coord.)* com a participação ativa de 
Matheus Coelho, 
Cauê Evangelista, 
Luísa Ferreira, 
Julia Leite, 
Bruno Lopes, 
Isabela Maietto, 
Breno Orzari,
Yoxara Villamizar.

---++Duração
32 aulas (12 créditos) com 1 aula por semana.

---++Audiência 
Estudantes de Pós-Graduação, preferencialmente de Doutorado, com conhecimento de Teoria Quântica de Campos e Modelo Padrão. 

   * [[mailto:ecp@sprace.org.br][Enviar e-mail para os estudantes:  ecp@sprace.org.br]]


---++Matrícula
Os documentos necessários para a matrícula podem ser encontrados [[https://www.ift.unesp.br/#!/pesquisa/area-do-aluno/documentos-importantes/][aqui]]

---++Pré-requisitos Recomendados 
É essencial ter cursado Teoria Quântica de Campos e Partículas Elementares incluindo Modelo Padrão Eletrofraco e QCD.

---++Formato do Curso
Aulas expositivas semanais

---++Bibliografia 

   * Livro texto
      * [[https://isbnsearch.org/isbn/9780750324427][Practical Collider Physics]], _A. Buckley, C. White, and M. White_ (IOP Publishing Ltd, 2021) 

   * Bibliografia complementar
      * [[https://isbnsearch.org/isbn/9780750321105][Experimental Particle Physics]], _D. Kar_ (IOP Publishing Ltd, 2019)
      * [[https://isbnsearch.org/isbn/9780198748557][Particle Physics in the LHC Era]], _G. Barr, R. Devenish, R. Walczak, and T. Weidberg_ (Oxford University Press, 2016)
      * [[https://isbnsearch.org/isbn/9783642008283][Experimental Techniques in Nuclear and Particle Physics]], _S. Tavernier_ (Springer-Verlag, 2010)
      * [[https://tinyurl.com/2p8ccunc][Advanced Instrumentation]], edited by _A. Sharma_, Nuclear Instruments and Methods in Physics Research A 666 (2012)

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---++[[https://drive.google.com/file/d/1DNBHbHqM2CwJPnj4Ds8BUwkyxC9NzkYl/view?usp=sharing][Programa do Curso]]

---+++1. From Theory to Experiment
   * 1.1 [[https://drive.google.com/file/d/1pUJNMHff9HAJYuxsjFh64l62-lPwueSc/view?usp=sharing][Perturbation Theory, Resummation and Parton showers]]
   * 1.2 [[https://drive.google.com/file/d/1-eKS7nuIgTGKcq5SjoxPkutoJORni3BA/view?usp=sharing][Hadronisation and Underlying event]]
   * 1.3 [[https://drive.google.com/file/d/12bHks8WzCgb5etGRmyV91_m4gEG2jOej/view?usp=sharing][Jet algorithms, Parton showers and NLO matrix elements]]

---+++2. Statistics 
   * 2.1 [[https://drive.google.com/file/d/1PzmWW1s4urjohHUJ0cNFAEHGTqiLkA50/view?usp=sharing][Probability]]
   * 2.2 [[https://drive.google.com/file/d/1oQO01ChLgnMQ0BQj7GrOe6JO5jtKH5dn/view?usp=sharing][Correlations]]
   * 2.3 [[https://drive.google.com/file/d/1LNeHLGbWTvFbLO4ckTu2vIiVQkzC4QQe/view?usp=sharing][Statistical Estimators]]
   * 2.4 [[https://drive.google.com/file/d/1Hkw7S10BEkuXkJid_1f7t_Jy-W-lrLM0/view?usp=sharing][Bayesian and Frequentist Inference]]
   * 2.5 [[https://drive.google.com/file/d/1K-9jmKSc5h_m-56iyO260EtU6i4_Z5ym/view?usp=sharing][Sampling]]
   * 2.6 [[https://drive.google.com/file/d/1FbFBknQaT-EokiM30D3g936hRZ-4xTEG/view?usp=sharing][Hypothesis Testing]]
   * 2.7 [[https://drive.google.com/file/d/153PkNadT2zIAbMWYwF4ayF30-w-VQRr9/view?usp=sharing][Multivariate Methods and Machine Learning]]

---+++3. Detection and Reconstruction
   * 3.1 [[https://drive.google.com/file/d/1Hr1GF0pqr4oWFCS6-auoop9zrGs5Ou91/view?usp=sharing][Detector Technologies and Trigger]]
   * 3.2 [[https://drive.google.com/file/d/10zz6B8QgfFPpGirvawdRnThzeGNVzQlR/view?usp=sharing][Particle Reconstruction]]
   * 3.3 [[https://drive.google.com/file/d/1wb3UVSGcLks5KEXT3ArCCV_4S3IQxCGy/view?usp=sharing][Rogue Signals]]

---+++4. Data Processing
   * 4.1 [[https://drive.google.com/file/d/1WT0sH-R9Woh0u_ukR33GHUWCjtkf7tcu/view?usp=sharing][Event Generation]]
   * 4.2 [[https://drive.google.com/file/d/19Cp3AVhuq2l4iEipJ2OvwZyTiu_TeZWr/view?usp=sharing][Detector Simulation and Digitization]]
   * 4.3 [[https://drive.google.com/file/d/1v1IefmNrXiQqGQes9Fo8Or5dlAyzXYl3/view?usp=sharing][Reconstruction, Analysis-data Processing and Visualisation]]

---+++5. Data Analysis
   * 5.1 [[https://drive.google.com/file/d/14OI6pD6-svSXlFMZv4tLglnSrGRMewiS/view?usp=sharing][Data-taking, Object Definition and Event Selection]]
   * 5.2 [[https://drive.google.com/file/d/1XQl5hUcMVwcoMk45-quAUqMjK2Wbk3Uf/view?usp=sharing][Observables]]
   * 5.3 [[https://drive.google.com/file/d/1ocecJkYVj1Kg94lmG4jwRdl9kXfZO1Ii/view?usp=sharing][Performance Optimisation]]
   * 5.4 [[https://drive.google.com/file/d/19OzQhtmZ-AWSbukVJq3J8C8EXSaBCMdz/view?usp=sharing][Background Estimation]]
   * 5.5 [[https://drive.google.com/file/d/1NUZ5i7foTrpje2nYkSJcQdbRWcwlxOET/view?usp=sharing][Uncertainties]]

---+++6. Particle Searches
   * 6.1 [[https://drive.google.com/file/d/1csraTzDUExawFa-aYkS1A1XbwS2h1Kau/view?usp=sharing][Diphoton Resonance Search]]
   * 6.2 [[https://drive.google.com/file/d/16HJPtnL97VfXhB7OY9L2X9rlZB36tZK9/view?usp=sharing][Jet Resonance Search]]
   * 6.3 [[https://drive.google.com/file/d/1Fq203Zjl4flt_7Ly7uclDxPXulxrkWJu/view?usp=sharing][Semi-invisible Particle Searches: General Strategy]]
   * 6.4 [[https://drive.google.com/file/d/1mNuywJw5ZL9b4LOqKMaIHU9KuzCDr0r1/view?usp=sharing][Accurate Background Modeling and LHC data]]

---+++7. High-precision Measurements
   * 7.1 [[https://drive.google.com/file/d/1H5EYCpunudAWfzOf_UdZ3RO11yw0AH--/view?usp=sharing][Fiducial Definitions, Volumes and Cross-sections]]
   * 7.2 [[https://drive.google.com/file/d/16-UxZCDZPO3-_Tfy1y8Wdmus2I2U4KZV/view?usp=sharing][Complex Object Reconstruction]]
   * 7.3 [[https://drive.google.com/file/d/1vsuHdsufYQQfLrC0hGU87vsKykZmou35/view?usp=sharing][Detector corrections and unfolding]]

---+++8. Analysis Preservation and Reinterpretation
   * 8.1 [[https://drive.google.com/file/d/1VKCuOoYAJckhlzaSUcmH0nQNFkM76rIR/view?usp=sharing][Global Statistical Fits and Reinterpreting Particle Searches]]
   * 8.2 [[https://drive.google.com/file/d/1sTJIdrhBAKfUSujlu9F9ubW2eJ_z-X0K/view?usp=sharing][Analysis Preservation and Open Data]]


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-- %USERSIG{novaes - 2023-02-16}%

[[Ehep2015][Previous Edition - 2015]]

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Topic revision: r19 - 2023-12-15 - novaes
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