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COMPUTING METHODS OF MODERN PHYSICS
Code: 34351
ECTS: 4
Lecturers in charge: doc. dr. sc. Ana Babić
Take exam: Studomat
English level:

1,1,1

All teaching activities in the course will be held on English. This level includes courses with multiple groups (i.e., all teaching will be held strictly in Croatian for Croatian groups, and strictly in English for English groups).
Load:
Lecture typeTotal
Lectures 30
Laboratory exercises 15
* Load is given in academic hour (1 academic hour = 45 minutes)
Description:
Ray tracing in curved spacetime: Spacetime. Curved spacetime. Metric. Path length. Riemannov tensor. Einstein s equation and spherically symmetric solutions. Light propagation in curved spacetime. Numerical solutions of differential equation. Ray-tracing. Gravitational lens.
Application of machine learning to event classification in high energy physics: Introduction to ground-based gamma-astronomy: observed objects and instruments. Data acquisition and analysis chain. Event reconstruction. Problem of signal separation in the presence of high levels of noise. Application of random forest algorithm to the gamma-hadron separation problem in high energy physics.
Material surface adsorption: Chemisorption and physisorption. Van der Waals force. Crystal lattice. Van der Waals material layers (graphen as an example). Simulating Van der Waals material adsorption onto a surface. Finding optimal orientation of adsorbed material with respect to the substrate layer.
Percolation, application to material properties: Percolation concepts. Abrupt transitions in material behavior. Long range connectivity. Electrical conductivity in composite materials. Tunneling effects. Monte Carlo simulations of materials, comparison with measured properties.
Literature:
  1. Introduction to Black Hole Physics; Valeri P. Frolov, Andrei Zelnikov; Oxford University Press; 2011; ISBN: 9780199692293
  2. Physics Of Surface, Interface And Cluster Catalysis, Ch.2; H. Kasai, P. Lazić; IOP Publishing Ltd; 2016; ISBN: 0750311657
  3. Data Analysis, Machine Learning and Knowledge Discovery; Myra Spiliopoulou, Lars Schmidt-Thieme, Ruth Janning; Springer Science & Business Media; 2013; ISBN: 9783319015958
  4. Characteristics of the Electrical Percolation in Carbon Nanotubes/Polymer Nanocomposites; Zheng et al.; American Chemical Society; 2011; ISBN: DOI: 10.1021/jp207388n
Prerequisit for:
Enrollment :
Passed : Mathematics 2
Passed : Physics 2
6. semester
Izborni predmeti - Mandatory module - Electrical Power Engineering
Izborni predmeti - Mandatory module - Software Engineering and Information Systems
Consultations schedule: