New Discoveries in Astronomical Data

<p>With the rapid growth of astronomical data from both ground-based and space-based telescopes (e.g. SDSS LAMOST ZTF Pan-STARRS FAST WISE GAIA and JWST) astronomy has entered the era of big data. This presents a significant challenge for astronomers in terms of handling and analyzing such vast amounts of data due to its complexity heterogeneity high dimensionality and massive volume. As a result new data processing techniques and methods are being developed. A variety of feature extraction and selection methods are emerging and machine learning and deep learning have become essential tools for managing astronomical big data. Furthermore the advent of multi-messenger and time-domain astronomy has created exciting opportunities for new astronomical discoveries. Special rare and even entirely new objects are continuously being observed. This Special Issue reprint provides a comprehensive overview of these developments.</p>