Princeton Series in Modern Observational Astronomy³

David N. Spergel, Series Editor

Written by some of the world’s leading astronomers, the books in the Princeton Series in Modern Observational Astronomy address the needs and interests of current and future professional astronomers. The series includes cutting-edge monographs and textbooks on topics generally falling under the categories of wavelength, observational techniques and instrumentation, and observational objects from a multiwavelength perspective.

Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data, Updated Edition Željko Ivezić, Andrew J. Connolly, Jacob T. VanderPlas, and Alexander Gray
Statistics, Data Mining, and Machine Learning in Astronomy is the essential introduction to the statistical methods needed to analyze complex data sets from astronomical surveys such as the Panoramic Survey Telescope and Rapid Response...
Asteroseismic Data Analysis: Foundations and Techniques Sarbani Basu and William J. Chaplin
Studies of stars and stellar populations, and the discovery and characterization of exoplanets, are being revolutionized by new satellite and telescope observations of unprecedented quality and scope. Some of the most significant...
Essential Radio Astronomy James J. Condon and Scott M. Ransom
The ideal text for a one-semester course in radio astronomy