Astronomical Observation and Data Analysis#
A practical, end-to-end course on observing and analyzing astronomical data — from choosing what and how to observe, through instrumentation and data reduction, to extracting scientific results from photometry, spectroscopy, and time-series data.
Chapters#
Planning & Instrumentation — atmospheric windows, science goals, observing constraints, signal-to-noise, telescope design, and instrumentation
Data Reduction & Astrometry — calibration frames with Astropy, plate-solving, the World Coordinate System, and photometry with Photutils
Time Series & Transits — barycentric time correction, transit modeling, and period search
Spectroscopy & Radial Velocity — spectroscopy, cross-correlation, RV modeling, and joint RV+transit modeling
Tools & Practices — Python basics, version control, and reproducible research
Resources — references and further reading