activity
20232025
most citedGalaxy Spectra neural Network (GaSNet). II. Using Deep Learning for Spectral Classification and Redshift Predictions

10 citations · 24 across the 6 of their papers we have counts for

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5 papers · 1 filter

astro-ph.GA2025

Identifying Compton-thick AGNs with Machine learning algorithm in Chandra Deep Field-South

Rui Zhang, Xiaotong Guo, Qiusheng Gu +7

Compton-thick active galactic nuclei (CT-AGNs), which are defined by column density , emit feeble X-ray radiation, eve…

astro-ph.GA2024

INSPIRE: INvestigating Stellar Population In RElics -- VII. The local environment of ultra-compact massive galaxies

Diana Scognamiglio, Chiara Spiniello, Mario Radovich +15

Relic galaxies, the oldest ultra-compact massive galaxies (UCMGs), contain almost exclusively "pristine" stars formed during an intense star formation (SF) burst at high redshift.…

astro-ph.GA2024★ 7 cited

Velocity-Resolved Ionization Mapping of Broad Line Region. I. Insights into Diverse Geometry and Kinematics

Sha-Sha Li, Hai-Cheng Feng, H. T. Liu +6

Broad emission lines of active galactic nuclei (AGNs) originate from the broad-line region (BLR), consisting of dense gas clouds in orbit around an accreting supermassive black hol…

astro-ph.GA2024★ 4 cited

Morpho-Photometric Classification of KiDS DR5 Sources Based on Neural Networks: A Comprehensive Star-Quasar-Galaxy Catalog

Hai-Cheng Feng, Rui Li, Nicola R. Napolitano +14

We present a novel multimodal neural network (MNN) for classifying astronomical sources in multiband ground-based observations, from optical to near infrared, to separate sources i…

astro-ph.GA2023★ 3 cited

Multi-band analysis of strong gravitationally lensed post-blue nugget candidates from the Kilo-Degree Survey

Rui Li, Nicola R. Napolitano, Linghua Xie +7

During the early stages of galaxy evolution, a significant fraction of galaxies undergo a transitional phase between the ``blue nugget" systems, which arise from the compaction of…