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250155 VU Cosmic Structures: Theory, Numerics and Statistics (2022W)
Continuous assessment of course work
Labels
ON-SITE
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Th 01.09.2022 00:00 to Sa 24.09.2022 23:59
- Deregistration possible until Mo 31.10.2022 23:59
Details
max. 25 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Tuesday 04.10. 10:45 - 11:30 Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock
- Friday 07.10. 09:45 - 11:15 Seminarraum 13 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 11.10. 10:45 - 11:30 Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock
- Friday 14.10. 09:45 - 11:15 Seminarraum 13 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 18.10. 10:45 - 11:30 Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock
- Friday 21.10. 09:45 - 11:15 Seminarraum 13 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 25.10. 10:45 - 11:30 Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock
- Friday 28.10. 09:45 - 11:15 Seminarraum 13 Oskar-Morgenstern-Platz 1 2.Stock
- Friday 04.11. 09:45 - 11:15 Seminarraum 13 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 08.11. 10:45 - 11:30 Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock
- Friday 11.11. 09:45 - 11:15 Seminarraum 13 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 15.11. 10:45 - 11:30 Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock
- Friday 18.11. 09:45 - 11:15 Seminarraum 13 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 22.11. 10:45 - 11:30 Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock
- Friday 25.11. 09:45 - 11:15 Seminarraum 13 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 29.11. 10:45 - 11:30 Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock
- Friday 02.12. 09:45 - 11:15 Seminarraum 13 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 06.12. 10:45 - 11:30 Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock
- Friday 09.12. 09:45 - 11:15 Seminarraum 13 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 13.12. 10:45 - 11:30 Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock
- Friday 16.12. 09:45 - 11:15 Seminarraum 13 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 10.01. 10:45 - 11:30 Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock
- Friday 13.01. 09:45 - 11:15 Seminarraum 13 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 17.01. 10:45 - 11:30 Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock
- Friday 20.01. 09:45 - 11:15 Seminarraum 13 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 24.01. 10:45 - 11:30 Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock
- Friday 27.01. 09:45 - 11:15 Seminarraum 13 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 31.01. 10:45 - 11:30 Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock
Information
Aims, contents and method of the course
Assessment and permitted materials
The final mark will come from 4 homework problem sets, as well as a short focus project paper (i.e., a more in-depth follow-up study of one of the topics of the course, topics will be suggested and mutually agreed upon).
Minimum requirements and assessment criteria
Minimum requirement: at least 50% of points on homework problems, and submission of a 4-5 page write-up of a small ‘focus’ project at the end of term.Final mark will be 67% homework, 33% focus project paper. Homework can be done in groups, focus project must be carried out and submitted individually.
Examination topics
Reading list
Lecture notes will be provided ahead of each session through moodle.
Association in the course directory
MAMV
Last modified: We 28.09.2022 19:09
- random fields, excursion sets
- spatial statistics: correlation functions, power spectrum
- analytical methods for PDEs and ODEs, perturbation theory and asymptotic methods
- numerical solutions of PDEs and ODEs,
- numerical N-body methods, and
- data analysis
Also the relevant (astro-)physical concepts in cosmology (inflation, cosmic microwave background, Newtonian gravity in an expanding universe, the Vlasov-Poisson system, …) will be introduced and discussed.An important aspect of the course will be hands-on exercises based on (1) numerical experiments with Python, as well as (2) analytical/perturbative calculations.Some familiarity with Python is helpful. Please note that familiarity with General Relativity/Differential Geometry or Astrophysics is not a pre-requisite for this course.