SylabUZ
Course name | Observational methods and data analysis in astrophysics |
Course ID | 13.7-WF-FizP-OMDAA-S17 |
Faculty | Faculty of Physics and Astronomy |
Field of study | Physics |
Education profile | academic |
Level of studies | First-cycle studies leading to Bachelor's degree |
Beginning semester | winter term 2022/2023 |
Semester | 4 |
ECTS credits to win | 6 |
Available in specialities | Astrofizyka komputerowa |
Course type | obligatory |
Teaching language | english |
Author of syllabus |
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The class form | Hours per semester (full-time) | Hours per week (full-time) | Hours per semester (part-time) | Hours per week (part-time) | Form of assignment |
Lecture | 30 | 2 | - | - | Credit with grade |
Class | 30 | 2 | - | - | Credit with grade |
Basic knowledge on the methods of observation and measurement of in radio astronomy. Learning the methods of data analysis, in particular radio wave.
Computer laboratory I - information technologies, Fundamentals of programming, Electrodynamics, Astronomical instruments
Astronomical radiation sources and particularly interesting objects. Methods of observation for particular types of objects. Multi-frequency flux measurement - spectrum, spectroscopy, interferometry, pulsars.
Measurement error analysis, the normal distribution (Gaussian), fitting the data to a linear function. Chi-square test, correlation and autocorrelation function. Introduction to Fourier analysis. Types of optical telescopes, the basic parameters of telescopes. Optical radiation receivers used in astronomy: photometers, CCD camera, polarimeters, spectroscopes. Filter systems. Construction and operation of optical receivers and their basic parameters.
Basics of photometry, spectroscopy and polarimetry.
Conversational lecture:
accounting exercises.
Outcome description | Outcome symbols | Methods of verification | The class form |
Lecture: Positive passing of final test (80%) and discussion (20%).
Class: positive completion of homework (50%), solving problems in the class (50%)
Final grade: 50% lecture, 50% class.
[1] A. Branicki, Obserwacje i pomiary astronomiczne, WUW, 2006.
[2] J. R. Taylor, Wstęp do analizy błędu pomiarowego, PWN, Warszawa 1999
[3] S. Brandt, Analiza danych (Metody statystyczne i obliczeniowe), Wydawnictwo Naukowe PWN,Warszawa 2002.
[4] Compendium of Practical Astronomy, Instrumentation and Redaction Techniques, SG. D. Roth,Springer-Verlag, Berlin 1994.
[5] T. L. Wilson, K. Rohlfs, S. Huttemeister, Tools of Radio Astronomy, Fifth Edition, Springer-Verlag, Berlin 2009.
[6] J. D. Kraus, Radio Astronomy, 2nd edition, Cygnus-Quasar Books, Powell, OH, 1986.
[7] T. L. Wilson, S. Huttemeister, Tools of Radio Astronomy, Problems and Solutions, Springer-Verlag, Berlin 2005
[8] F. Shu, Galaktyki, gwiazdy, życie, Prószyński i S_ka, 2003.
[9] M. Kubiak, Gwiazdy i materia międzygwiazdowa, PWN, 1994.
[10] J. M. Kreiner, Astronomia z astrofizyką, PWN, 1988.
[1] Single-dish radio astronomy techniques an-NRAO Summer School held at National Astronomy and Ionosphere Center, Arecibo Observatory, Arecibo, Puerto Rico, USA, 10 -15 June 2001.
[2] Interferometry and Synthesis in Radio Astronomy, Second Edition; A. R. Thompson, J. M. Moran, G.W. Swenson Jr., WILEY-VCH Verlag GmbH & Co. KgaA, Weinheim, 2004.
Modified by dr Marcin Kośmider (last modification: 04-04-2022 20:47)