May 16 – 18, 2025
College of Management, National Formosa University 國立虎尾科技大學第三校區文理暨管理大樓
Asia/Taipei timezone
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A Photometric Approach to Transient Classification: Insights from DESI and Sky Survey Data

Not scheduled
15m
International Conference Hall 圓形國際會議廳 (College of Management, National Formosa University 國立虎尾科技大學第三校區文理暨管理大樓)

International Conference Hall 圓形國際會議廳

College of Management, National Formosa University 國立虎尾科技大學第三校區文理暨管理大樓

632 雲林縣虎尾鎮民主路63號文理暨管理大樓 第三校區圓形國際會議廳(文理暨管理大樓一樓) National Formosa University, 1F College of Managment, Huwei Township, Yunlin County, Taiwan
Board: 18
Poster Poster-Stars

Speaker

Yu-Hsing Lee (National Central University)

Description

With the rapid development of sky survey projects and observational technology, over 20,000 transient celestial objects have been discovered annually in recent years. However, due to limited telescope time and observational resources, only about 10% of these transients have been classified through spectroscopic analysis, leaving the physical nature of most objects is unknown. Recently, the Dark Energy Spectroscopic Instrument (DESI) has released extensive spectral data for numerous galaxies, offering valuable resources and opportunities for further analysis. This enables us to perform cross-matching between unclassified transient objects and DESI data based on celestial coordinates, facilitating the identification of potential host galaxies. By cross-matching DESI spectroscopic redshift data with images from sky survey projects, we calculate the absolute magnitudes of transient objects using the redshift of their host galaxies and their observed peak brightness, thereby achieving preliminary photometric classification. Furthermore, we conduct in-depth analysis of transient objects with extreme luminosities, including exceptionally bright (M < -19.5) and faint (M > -14) cases. This study explores the potential origins and physical implications of these unusual transients, laying important groundwork for future research.

Section Stars/Star Clusters

Primary author

Yu-Hsing Lee (National Central University)

Co-author

Prof. Ting-Wan Chen (National Central University)

Presentation materials

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