(in Polish) Advanced Graduate Lecture on Gravitational Microlensing 1100-SZD-GM
The outline of the lectures:
1. History and basics math of the gravitational lensing.
2. Microlensing optical depth - includes interview with Dr Kerins from Manchester University
3. How to solve microlensing - part 1
4. How to solve microlensing - part 2
5. Planetary Microlensing - includes interviews of prof. Taka Sumi (Osaka University), prof. Dave Bennett (NASA/Goddard), prof. Dan Maoz (Tel Aviv University)
6.Other planet search methods - includes interview with Dr Si-mon Hodgkin from Cambridge University
7. Dark matter search with microlensing - includes interviews with Dr Vasily Belokurov (University of Cambridge) and Prof. Juan Garcia-Bellido (University of Madrid)
8. Astrometric microlensing and hunt for Black Holes - includes interview with Drs Martin Dominik (University of St. Andrews) and Kailash Sahu (Hubble Space Telescope Institute)
9. Miscellaneous applications of microlensing.
10. Review of microlensing surveys - with interview with Dr Sean Carrey (Spitzer Space mission, Caltech)
11. Serendipitous science with microlensing data
12. Future of microlensing - with interviews with Prof. Andy Gould (Ohio State University) and Dr Rachel Street (Las Cum-bres Observatory)
13. Transient events and contaminants in microlensing searches with Machine Learning.
The students after each lecture can take a test related to the topic of the lecture. The Lecturer is available every week during the planned time for the course for zoom or on-site consultations.
Course coordinators
Learning outcomes
A student should know the mathematical background and appli-cations of gravitational microlensing in modern astrophysics.
A student should have a deep knowledge and understanding of the methodology used in the field and be able to solve prob-lems illustrating discussed topics (WG_01, WG_02, WG_03).
Assessment criteria
Written exam – a multiple choice test
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: