71 citations · 106 across the 14 of their papers we have counts for
14 papers
Machine Learning and the SKA for Cosmic Dawn and the Epoch of Reionization
Anshuman Acharya, Michele Bianco, Daniela Breitman +18
When operational, the SKA will generate unprecedented amounts of data and provide exquisite sensitivity for 21 cm tomography of Cosmic Dawn (CD) and the Epoch of Reionization (EoR)…
RAYTHEIA: A high-performance ray-tracing algorithm for three-dimensional direction-dependent equations in astronomical simulations
Zhengping Zhu, Thomas G. Bisbas, Xuefei Tang +3
We present RAYTHEIA, a high-performance reverse ray-tracing algorithm designed to efficiently solve three-dimensional direction-dependent equations in astronomical simulations. The…
FAST Polarization Catalog of FRB 20240114A
Tian-Cong Wang, Jun-Shuo Zhang, Xiao-Hui Liu +60
Polarization measurements of fast radio bursts (FRBs) probe the magnetized plasma surrounding their central engines. FRB~20240114A is an exceptionally active repeating source, with…
SwinYNet: A Transformer-based Multi-Task Model for Accurate and Efficient FRB Search
Yunchuan Chen, Shulei Ni, Chan Li +11
In this study, we present a transformer-based multi-task model for Fast Radio Burst (FRB) detection, signal segmentation, and parameter estimation directly from time-frequency data…
Spectuner-D1: Spectral Line Fitting of Interstellar Molecules Using Deep Reinforcement Learning
Yisheng Qiu, Tianwei Zhang, Tie Liu +6
Spectral lines from interstellar molecules provide crucial insights into the physical and chemical conditions of the interstellar medium. Traditional spectral line analysis relies…
FALCO: a Foundation model of Astronomical Light Curves for time dOmain astronomy
Xiaoxiong Zuo, Yihan Tao, Yang Huang +13
Time-domain surveys have advanced astronomical research by revealing diverse variable phenomena, from stellar flares to transient events. The scale and complexity of survey data, a…
Ultrahigh-Energy Gamma-ray Emission Associated with Black Hole-Jet Systems
The LHAASO Collaboration, Zhen Cao, Felix Aharonian +315
Black holes (BH), one of the most intriguing objects in the universe, can manifest themselves through electromagnetic radiation initiated by the accretion flow. Some stellar-mass B…
Application of Physics-Informed Neural Networks in Removing Telescope Beam Effects
Shulei Ni, Yisheng Qiu, Yunchuan Chen +5
This study introduces {\tt{PI-AstroDeconv}}, a physics-informed semi-supervised learning method specifically designed for removing beam effects in astronomical telescope observatio…
Spectuner: A Framework for Automated Line Identification of Interstellar Molecules
Yisheng Qiu, Tianwei Zhang, Thomas Möller +4
Interstellar molecules, which play an important role in astrochemistry, are identified using observed spectral lines. Despite the advent of spectral analysis tools in the past deca…
SFANet: Spatial-Frequency Attention Network for Weather Forecasting
Jiaze Wang, Hao Chen, Hongcan Xu +7
Weather forecasting plays a critical role in various sectors, driving decision-making and risk management. However, traditional methods often struggle to capture the complex dynami…
PI-AstroDeconv: A Physics-Informed Unsupervised Learning Method for Astronomical Image Deconvolution
Shulei Ni, Yisheng Qiu, Yunchun Chen +4
In the imaging process of an astronomical telescope, the deconvolution of its beam or Point Spread Function (PSF) is a crucial task. However, deconvolution presents a classical and…
Automated Identification and Segmentation of Hi Sources in CRAFTS Using Deep Learning Method
Zihao Song, Huaxi Chen, Donghui Quan +5
Identifying neutral hydrogen (\hi) galaxies from observational data is a significant challenge in \hi\ galaxy surveys. With the advancement of observational technology, especially…
A discovery of Two Slow Pulsars with FAST: "Ronin" from the Globular Cluster M15
Dengke Zhou, Pei Wang, Di Li +26
Globular clusters harbor numerous millisecond pulsars, but long-period pulsars ( ms) are rarely found. In this study, we employed a fast folding algorithm to analyze…
Blinkverse: A Database of Fast Radio Bursts
Jiaying Xu, Yi Feng, Di Li +11
The volume of research on fast radio bursts (FRBs) observation have been seeing a dramatic growth. To facilitate the systematic analysis of the FRB population, we established a dat…