Year 2023

Please refer to class webpage with overview, class requirements, deadlines, etc. This page is for announcements and class related news.

Course intro
Requirements for projects.
Check out the project gudelines at the projects page ! Please note the deadlines!
Questions, requests, etc. concerning the class: contact: szamszimmsc(at)gmail.com
Overview lecture: slides 1-13 - Nature of intelligence. The process of scientific discovery. Data and models. Extension of senses and brain.

Ordinary differential equations. Gravitational many-body problems. New solutions found for the “simple” gravitational 3-body problem. Detailed article: Hristov, I., Hristova, R., Dmitrašinović, V. and Tanikawa, K., 2023. Three-body periodic collisionless equal-mass free-fall orbits revisited. arXiv preprint arXiv:2308.16159.
Random number generation. Perovskite LED unlocks next-level quantum random number generation link

Book annotated table of contents
Chapters …-14
Slides 13-60 - Moore’s law, data revolution in astronomy and genomics, SDSS, human genome, changing scientific approach

Moore’s law in AI link
A planet orbiting a star in a multi-star system located some 480 light-years from Earth. A nice real example of the gravitational 3-body system.
Chaos in the interactions between stars near the Milky Way’s supermassive black hole makes it impossible to predict their trajectories after about 462 years, much shorter than expected Zwart, S.F.P., Boekholt, T.C. and Heggie, D.C., 2023. Punctuated chaos and the unpredictability of the Galactic center S-star orbital evolution. Monthly Notices of the Royal Astronomical Society, p.stad2654.
The return of Bennu samples is the victory of mechanics (among others). How precice calculations of trajectories are needed to realize space mission.

Book chapters 15-18
Slides 61-94. New era of multidisciplinary “big data” research: genomics, infectious diseases, social media, financial networks. Data vectors, projection, principal components

Experiments confirm that antimatter has positive gravitational mass
A Nobel prize for Katalin Karikó. The role model of the tenacious and modest scientist.

Last in person lecture. Now on focus on your projects, read the book and follow previous years’ recordings. Submit reports in time, register for presentations.
Final set of slides. How the development of science and technology lead to artificial intelligence. Short history and basics of machine learning. Phyisical insights used in machine learning models. Machine learning application in sciences.

Nobel prize in physics: Pierre Agostini, Ferenc Krausz (Not only a Hungarian, again, but also ELTE alumni!) and Anne L’Huillier for developing “stroboscope for high speed atom movie” (attosecond scale laser pulses). A well explained undersandable summary of the discovery