aosr

Automated Detection of Supernovae in Astronomical Images Automated detection of supernovae is an emerging field in observational astronomy, enabling the efficient and large-scale identification of new stellar explosions. This article presents an algorithm developed by us( AOSR ) to compare astronomical images and identify potential supernovae. After generating a comprehensive list of possible supernova candidates, the algorithm is automatically applied to each candidate for further analysis and verification. This ensures that each potential supernova is meticulously examined, increasing the accuracy and reliability of the detection process. Algorithm Workflow Loading and Normalizing Images : Initially, astronomical images are loaded from FITS files. To ensure comparability, the images are normalized to a common scale. Image Alignment : Using feature detection and description techniques, the images are aligned to correct for any shifts and distortions between them. Difference Calculatio...

The supernova SN2011dh , discovered in the famous Whirlpool Galaxy (M51) , has captivated astronomers and the public alike since its explosion in May 2011.  This stellar event, classified as a Type II supernova, marked the dramatic end of a massive star's life cycle. Astronomers around the world turned their telescopes towards M51 , eager to observe and study the intricacies of this cosmic phenomenon. The supernova was first detected by amateur astronomer Tom Reiland and quickly confirmed by professional observatories. Its brightness and relatively close proximity to Earth made SN2011dh an exceptional opportunity for detailed observation and analysis. Researchers utilized a range of instruments, from ground-based telescopes to space observatories like the Hubble Space Telescope, to gather data across multiple wavelengths. One of the key insights from SN2011dh was the identification of its progenitor star. Pre-explosion images from the Hubble Space Telescope revealed a yellow sup...