Loading
0000000005 19S 4SWS VI Applied Multi-Messenger Astronomy 2: Statistical and Machine Learning Methods in Particle and Astrophysics   Hilfe Logo

LV - Detailansicht

Wichtigste Meldungen anzeigenMeldungsfenster schließen
Allgemeine Angaben
Applied Multi-Messenger Astronomy 2: Statistical and Machine Learning Methods in Particle and Astrophysics 
0000000005
lecture with integrated exercises
4
Summer semester 2019
Chair of Experimental Physics with Cosmic Particles (Prof. Resconi)
(Contact information)
Details
Angaben zur Abhaltung
Lecture organized in specialized topics following the list:
- 26.04.2019, Statistical models and point estimation (by Dr. Matteo Agostini)
- 3.05.2019 Frequentist hypothesis testing and sensitivity (by Dr. Matteo Agostini)
- 10.05.2019 Frequentist interval estimation (by Dr. Matteo Agostini)
- 17.05.2019 Frequentist interval estimation (Part 2) / Introduction to IceCube physics (by Dr. Hans Niederhausen)
- 24.05.2019 A statistical model of the IceCube detection process (by Dr. Hans Niederhausen)
- 31.05.2019 Searching for a needle in the needle stack: the case of neutrino point sources in the sky (by Dr. Hans Niederhausen)
- 7.06.2019 Fitting a line (by Dr. J. Michael Burgess)
- 14.06.2019 Fitting a lot of lines (by Dr. J. Michael Burgess)
- 21.06.2019 Lines, multiple lines, fitting the JLA data set to determine the cosmological parameters (by Dr. J. Michael Burgess)
Python
Learn and apply methods in particle and astrophysics data analysis and machine learning.
  • German
  • English
Details
Für die Anmeldung zur Teilnahme müssen Sie sich in TUMonline als Studierende/r identifizieren.
Zusatzinformationen
[LV-Evaluation:PH]