SS 2027 WS 2026
SS 2026
SS 2025 WS 2025 Department of Chemistry
open physics
KVL / Klausuren / MAP 1st HS: 13.04  2nd HS: 01.06  sem.br.: 20.07  begin WS: 10.10

4020260138 Analysis Techniques in Astrophysics and Gravitational Wave Astronomy      VVZ  

VL
Mon 13-15
 weekly NEW 14 1'13 (24) Jakob Nordin
UE
Wed 12-13
 weekly NEW 14 1'10 (16) Jakob Nordin

Präsenzkurs

classroom language
EN
aims
Students will learn how to process and evaluate the data provided by modern astronomical observatories.

Besides providing a general understanding of modern observational astrophysics, the course will teach analytical methods applicable to a wide range of data types.
requirements
Courses in statistical methods, cosmology and/or astronomy are beneficial but not required.

Note: this course will be given jointly with the course in Astroparticle physics. Contact the lecturer for details.
structure / topics / contents
Observations of astronomical objects currently provide some of the most precise constraints of physical laws. This includes phenomena such as dark energy and dark matter, which only come to dominate on the scales of galaxies. Astrophysics has currently entered the era of multi-messenger astronomy, where observations made across the electromagnetic spectrum are combined with detections of cosmic rays, neutrinos and gravitational waves.

This course will introduce the analysis techniques needed to evaluate the measurements made by astronomical detectors and compare these with theoretical models. These techniques are relevant not only for astrophysics, but also for the general analysis of large measurement series ("big data").

Finally, in the second half of the course will use an optical telescope and process these data as a final project.

Course key words:
* What is a measurement? Detection, uncertainty and selection bias.
* Electromagnetic telescopes: Optical, Gamma-ray (X-ray), IR
* Neutrinos (and cosmic rays)
* Gravitational wave sources and detectors
* How to combine data into multi-messenger astronomy
assigned modules
P25.1.d
amount, credit points; Exam / major course assessment
3 SWS, 6 SP/ECTS (Arbeitsanteil im Modul für diese Lehrveranstaltung, nicht verbindlich)
contact
Jakob Nordin
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