1 citations · 3 across the 18 of their papers we have counts for
19 papers
A Helical Trajectory Interpretation of a Multi-wavelength Event in a Blazar S5 0716+714
Zhihao Ouyang, Jingyu Wu, Hubing Xiao +9
Relativistic jets in blazars exhibit strong variability across multiple timescales, but the connection between temporal variability and the evolution of jet structures remains poor…
Indirect evidence of the extinction bump within the dusty torus of SDSS J141945.50+524648.0
Ze Li, Gaoyang Chen, Qifan Cui +7
We present a multi-wavelength study of the quasar SDSS J141945.50524648.0 (), a member of the newly identified population of quasar-associated $2175\,\mathring{\mathrm…
Enhancing Photometric Redshift Estimation for LSST with a Hybrid LSTM-Mixture Density Network
Zhijian Luo, Yangyang Li, Xinyu Luo +4
Accurate photometric redshift (photo-) estimation and robust uncertainty quantification are essential for the LSST to achieve its precision cosmology goals. Traditional machine…
Joint constraints on gravity and stellar orbital anisotropy in massive galaxies
Wei Du, Liping Fu, Gong-Bo Zhao +5
Strong gravitational lensing combined with stellar dynamics provides a complementary route for testing gravity on kiloparsec scales and probing the internal structure of massive ga…
Beyond Colors: Probing Redshifts from Galaxy Morphology in Single-band Images with ViT-MDNz
Zhijian Luo, Yangyang Li, Jianzhen Chen +5
To address the challenge of estimating redshifts when only single-band images are available, this study introduces a deep learning model named ViT-MDNz. Leveraging robust statistic…
First Submillimeter Lights from Dome A: Tracing the Carbon Cycle in the Feedback of Massive Stars
Yan Gong, Jiaqiang Zhong, Yuan Ren +38
The cycling of carbon between its ionized, atomic, and molecular phases shapes the chemical compositions and physical conditions of the interstellar medium (ISM). However, ground-b…
LSTM-MDNz: Estimating Quasar Photometric Redshifts with an LSTM-Augmented Mixture Density Network
Jianzhen Chen, Zhijian Luo, Liping Fu +4
Quasar photometric redshifts are essential for studying cosmology and large-scale structures. However, their complex spectral energy distributions cause significant redshift-color…
BALNet: Deep Learning-Based Detection and Measurement of Broad Absorption Lines in Quasar Spectra
Yangyang Li, Zhijian Luo, Shaohua Zhang +5
Broad absorption line (BAL) quasars serve as critical probes for understanding active galactic nucleus (AGN) outflows, black hole accretion, and cosmic evolution. To address the li…
Identifying Dust-lane Spheroidal Galaxies in DESI Legacy Imaging Surveys Using Semi-Supervised Methods
Zhijian Luo, Jianzhen Chen, Wenxiang Pei +4
Dust-lane spheroidal galaxies (DLSGs) are unique astrophysical systems that exhibit the morphology of early-type galaxies (ETGs) but are distinguished by prominent dust lanes. Rece…
Detecting Galactic Rings in the DESI Legacy Imaging Surveys with Semi-Supervised Deep Learning
Jianzhen Chen, Zhijian Luo, Cheng Cheng +3
The ring structures of disk galaxies are vital for understanding galaxy evolution and dynamics. However, due to the scarcity of ringed galaxies and challenges in their identificati…
Galaxy Morphology Classification via Deep Semi-Supervised Learning with Limited Labeled Data
Zhijian Luo, Jianzhen Chen, Zhu Chen +4
Galaxy morphology classification plays a crucial role in understanding the structure and evolution of the universe. With galaxy observation data growing exponentially, machine lear…
The Quasar-associated 2175 Å Dust Absorbers in the SDSS DR16 Quasar Catalog
Shaohua Zhang, Yuchong Luo, Shangchun Xie +4
We present, for the first time, a systematic study of quasar-associated 2175 Å dust absorbers using spectroscopic data from the Sloan Digital Sky Survey (SDSS) Data Release 16 (DR1…
Improving Photometric Redshift Estimation for CSST Mock Catalog Using SED Templates Calibrated with Perturbation Algorithm
Yicheng Li, Liping Fu, Zhu Chen +11
Photometric redshifts of galaxies obtained by multi-wavelength data are widely used in photometric surveys because of its high efficiency. Although various methods have been develo…
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…
A comparative study of ultraluminous infrared galaxies in the IRAS and SDSS Surveys
Shaohua Zhang, Zhijian Luo, Xiheng Shi +3
We present a comprehensive study of Ultraluminous Infrared Galaxies (ULIRGs), leveraging data from the IRAS Faint Source Catalogue (FSC) and the spectroscopic catalog in the Sloan…
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…
Estimating Photometric Redshift from Mock Flux for CSST Survey by using Weighted Random Forest
Junhao Lu, Zhijian Luo, Zhu Chen +10
Accurate estimation of photometric redshifts (photo-) is crucial in studies of both galaxy evolution and cosmology using current and future large sky surveys. In this study, we…