1 citations · 2 across the 9 of their papers we have counts for
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Photometric Redshift Estimation for CSST Survey with LSTM Neural Networks
Zhijian Luo, Yicheng Li, Junhao Lu +11
Accurate estimation of photometric redshifts (photo-s) is crucial for cosmological surveys. Various methods have been developed for this purpose, such as template fitting method…
Cross-Survey Image Transformation: Enhancing SDSS and DECaLS Images to Near-HSC Quality for Advanced Astronomical Analysis
Zhijian Luo, Shaohua Zhang, Jianzhen Chen +5
This study focuses on transforming galaxy images between astronomical surveys, specifically enhancing images from the Sloan Digital Sky Survey (SDSS) and the Dark Energy Camera Leg…
Acceleration of the Universe without the Hubble tension with Kaniadakis holographic dark energy using the Hubble horizon as the IR cut-off
Wei Fang, Guo Chen, Chao-Jun Feng +2
We introduce a holographic dark energy model that incorporates the first-order approximate Kaniadaski entropy, utilizing the Hubble horizon, , as the infrared cutoff. We inves…
Imputation of Missing Photometric Data and Photometric Redshift Estimation for CSST
Zhijian Luo, Zhirui Tang, Zhu Chen +10
Accurate photometric redshift (photo-) estimation requires support from multi-band observational data. However, in the actual process of astronomical observations and data proce…
Modeling the wavelength dependence of pixel response non-uniformity of a CCD sensor
Zun Luo, Wei Du, Baocun Chen +2
Precision measurements in astronomy require stringent control of systematics such as those arising from imperfect correction of sensor effects. In this work, we develop a parametri…