activity
20232026
most citedThe Study of Jet Formation Mechanism in Fermi Blazars

4 citations · 6 across the 22 of their papers we have counts for

collaborators
Showing 2026Show all

6 papers · 1 filter

astro-ph.GA2026

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…

astro-ph.GA2026

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…

astro-ph.GA2026

Tracing the kinematic perturbations of the Milky Way spiral arms with APOGEE DR17 and Gaia DR3

Xi-Can Tang, Zhi Li, Iulia T. Simion +4

Aims. We constrain the dynamical perturbations of the spiral arms in the Milky Way disk, based on the non-axisymmetric streaming motions of RGB stars revealed by APOGEE and \textit…

astro-ph.GA2026

Comparative analysis of missing data imputation methods for CSST survey: Impact on photometric redshift estimation performance

Ling Wang, Zhu Chen, Zhijian Luo +42

Improving the accuracy of photometric redshifts (photo-) is essential for reliable statistical studies of cosmology and galaxy evolution. However, missing photometric bands are…

astro-ph.HE2026

Chasing the neutrino blazar candidates II: SED modeling with hadronic model

Hubing Xiao, Zhihao Ouyang, Lili Yang +6

Blazars are promising candidates for high energy neutrino sources, yet the physical origin of their neutrino emission remains uncertain. In this work, we extend our previous study…

astro-ph.GA2026

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…