WHILE it is now generally admitted that the spectroscopic differences between the different classes of stars are mainly due to differences of temperature, there are two widely divergent views as to ...

II. THE temperature relationships of the various groups in the classification of stars described in the previous article are further illustrated in a diagram which is reproduced in Fig. 6, from which ...

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 ...

Stellar size and class diversification originates from the initial mass of the molecular cloud from which stars form. The elemental composition of the molecular cloud, specifically the abundance of ...

The statistical distribution of the total mass of 14 double neutron star (DNS) systems (out of 18 pairs observed) is found to be very narrow, with the average and standard deviation as 2.65 ± 0.03 M☉.

Time-domain astronomy is progressing rapidly with the ongoing and upcoming large-scale photometric sky surveys led by the Vera C. Rubin Observatory project (LSST). Billions of variable sources call ...

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, ...