Stellar spectral types originally followed alphabetical order. But as astronomers observed more stars and obtained more detailed spectra, they consolidated some categories and reordered the remaining ...

A new study led by researchers from the Yunnan Observatories of the Chinese Academy of Sciences has developed a neural network-based method for large-scale celestial object classification, according ...

Since the late 19th century, the Harvard College Observatory employed women as “computers” to analyze and catalog glass plates containing astronomical data. Their work led to many important ...

To understand how we classify and differentiate the stars we see in the sky, we first need to understand how they are born and change throughout their lives. Star formation begins with a massive cloud ...

In an era of ever-expanding astronomical research, the need for tools capable of swiftly classifying vast numbers of celestial objects has never been greater. Recent advancements in AI technology, ...

This article examines the spectroscopic properties of young stellar objects, linking accretion dynamics to observed ...

Researchers interrogated the 'sounds' of a cluster of stars within the Milky Way, uncovering a new technique for astrophysicists to probe the universe and learn more about its evolution. A new study ...

Differences in SEDs, spectroscopic features, and spatial morphologies among various types of celestial objects. From top to bottom, the examples shown correspond to a galaxy, a quasar, and a star. The ...

The trailblazing Harvard scientist, who documented the dominance of hydrogen and helium in stars, is still inspiring researchers today Elizabeth Landau - Contributing Writer Cecelia Payne-Gaposchkin ...