报告题目：GalfitT: Multi-epoch Image Deconvolution and Light Curve Extraction

报告人：刘亦辰（博士研究生，亚利桑那大学）

摘要：Time-domain analysis of astronomical data has led to many exciting discoveries in modern astronomy. The variability of Type I active galactic nuclei (AGN) and transient events like supernovae and tidal disruption events manifest as transient point sources superimposed on the underlying host galaxy light profile. With prior knowledge of the light profile differences between transients and their hosts,we can detect such variables and extract their light curves accurately. We present GalfitT, a new software tool designed to model galaxy light profiles and transient light curves simultaneously, using multiple-epoch images as input. GalfitT first recovers the intrinsic image of a galaxy before point spread function (PSF) convolution. This intrinsic image features better pixel sampling and a much higher signal-to-noise ratio, making morphological measurements of galaxies less biased by the PSF. Our method has also been tested to be more stable than traditional image deconvolution methods. With the host galaxy image subtracted,transient sources within the galaxy can be easily detected using GalfitT. According to our mock image tests,the detection efficiency and light curve accuracy are robust. This transient detection and light curve measurement is as efficient as traditional image differencing methods;moreover,GalfitT does not require selecting specific reference images and is less affected by image artifacts. All these novel aspects of GalfitT have been tested on current Hyper Suprime-Cam (HSC) survey data and can also benefit from future Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) observations,providing a powerful tool for future galaxy and transient studies.

报告时间：2025年12月22日10:00

报告地点：紫台仙林园区5-516会议室

欢迎大家参加！