Since 2021, aggregated from related topics
Astronomical data analysis is a field of study that involves the analysis and interpretation of data collected from astronomical observations, such as images, spectra, and light curves. This data is typically obtained from telescopes and other instruments used to study celestial objects and phenomena, such as stars, galaxies, and black holes. Astronomical data analysis involves techniques from statistics, signal processing, and machine learning to extract meaningful information from large and complex datasets. Researchers in this field use various methods to analyze astronomical data, including image processing, spectrum analysis, and statistical modeling, to gain insights into the nature and behavior of objects in the universe.