# 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](planning_and_instrumentation.md)** — atmospheric
  windows, science goals, observing constraints, signal-to-noise, telescope design, and
  instrumentation
* **[Data Reduction & Astrometry](data_reduction_and_astrometry.md)** — calibration
  frames with Astropy, plate-solving, the World Coordinate System, and photometry with
  Photutils
* **[Time Series & Transits](time_series_and_transits.md)** — barycentric time
  correction, transit modeling, and period search
* **[Spectroscopy & Radial Velocity](spectroscopy_and_rv.md)** — spectroscopy,
  cross-correlation, RV modeling, and joint RV+transit modeling
* **[Tools & Practices](tools_and_practices.md)** — Python basics, version control, and
  reproducible research
* **[Resources](resources.md)** — references and further reading

## References

* [Astropy's CCD Reduction and Photometry Guide](https://www.astropy.org/ccd-reduction-and-photometry-guide/v/dev/notebooks/00-00-Preface.html)
* [Database: NASA Exoplanet Archive](https://exoplanetarchive.ipac.caltech.edu/)