:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Li, Hui, Li, Rong-Wang, Shu, Peng, Li, Yu-Qiang
Formato:	Preprint
Publicado:	2024
Materias:	Instrumentation and Methods for Astrophysics
Acceso en línea:	https://arxiv.org/abs/2404.01691
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

LightCurve MoE: A Dynamic Sparse Routing Mixture-of-Experts Architecture for Efficient Stellar Light Curve Classification
por: Wang, Cunshi, et al.
Publicado: (2023)

StarCLR: Contrastive Learning Representation for Astronomical Light Curves
por: Ding, Junyao, et al.
Publicado: (2026)

Astroconformer: The Prospects of Analyzing Stellar Light Curves with Transformer-Based Deep Learning Models
por: Pan, Jia-Shu, et al.
Publicado: (2023)

Luminis Stellarum et Machina: Applications of Machine Learning in Light Curve Analysis
por: Akhmetali, Almat, et al.
Publicado: (2025)

Predicting Stellar Parameters of Massive Stars from Light Curves with Machine Learning
por: Zhang, Rachel C., et al.
Publicado: (2025)

The Scaling Law in Stellar Light Curves
por: Pan, Jia-Shu, et al.
Publicado: (2024)

LCDC: Bridging Science and Machine Learning for Light Curve Analysis
por: Kyselica, Daniel, et al.
Publicado: (2025)

Graph-Based Light-Curve Features for Robust Transient Classification
por: Petro-Ramos, Jesús D., et al.
Publicado: (2025)

Multiband Embeddings of Light Curves
por: Becker, I., et al.
Publicado: (2025)

TDLight: A Framework for Incremental Light Curve Management and Smart Classification
por: Yu, Xinghang, et al.
Publicado: (2025)

An Improved Machine Learning Approach for Radio Frequency Interference Mitigation in FAST-SETI Survey Archival Data
por: Zhao, Li-Li, et al.
Publicado: (2025)

Performance Analysis of Digital Flux-locked Loop Circuit with Different SQUID $V$-$ϕ$ Transfer Curves for TES Readout System
por: Li, Nan, et al.
Publicado: (2025)

Multivariate Time-series Transformer Embeddings for Light Curves
por: Chiong, Gabriel, et al.
Publicado: (2025)

Disentangling Joint Light Curves Using Photocenter Shifts: A Case Study Using NEOWISE Data
por: Stecklum, Bringfried
Publicado: (2025)

Machine learning-based classification for Single Photon Space Debris Light Curves
por: Trummer, Nadine M., et al.
Publicado: (2024)

Large Language Models for Limited Noisy Data: A Gravitational Wave Identification Study
por: Li, Yixuan, et al.
Publicado: (2025)

TransFit: An Efficient Framework for Transient Light-Curve Fitting with Time-Dependent Radiative Diffusion
por: Liu, Liang-Duan, et al.
Publicado: (2025)

Attention-Based Preprocessing Framework for Improving Rare Transient Classification
por: Sheng, Xinyue, et al.
Publicado: (2025)

Scalable and Robust Multiband Modeling of AGN Light Curves in Rubin-LSST
por: Yu, Weixiang, et al.
Publicado: (2025)

The Rotation Curve and Spiral Structure of Milky Way from the Hydrogen 21-cm Line Detection with Campus Radio Telescope
por: Li, Hong-Yu, et al.
Publicado: (2024)

A Machine Learning Framework for Stellar Collision Transient Identification
por: Hu, Betty X., et al.
Publicado: (2025)

Exoplanet Detection Using Machine Learning Models Trained on Synthetic Light Curves
por: Lo, Ethan, et al.
Publicado: (2025)

Adding RR Lyrae $y$-Band Template Light Curves to gatspy
por: Ngeow, Chow-Choong, et al.
Publicado: (2024)

Identification of Strongly Lensed Gravitational Wave Events Using Squeeze-and-Excitation Multilayer Perceptron Data-efficient Image Transformer
por: Li, Dejiang, et al.
Publicado: (2025)

First Discovery and Confirmation of PN Candidates Found from AI and Deep Learning Techniques Applied to VPHAS+ Survey Data
por: Li, Yushan, et al.
Publicado: (2024)

The Effects of Cuboid Particle Scattering on Reflected Light Phase Curves: Insights from Laboratory Data and Theory
por: Hamill, Colin D., et al.
Publicado: (2025)

Fast and Flexible Characterisation of Astronomical Light Curves Using Multi-Time Attention
por: Gondhalekar, Yash, et al.
Publicado: (2026)

Variable Star Light Curves in Koopman Space
por: Mekhaël, Nicolas, et al.
Publicado: (2024)

CLARA: A Modular Framework for Unsupervised Transit Detection Using TESS Light Curves
por: Dasgupta, Mainak
Publicado: (2025)

The Mini-SiTian Array: Light Curves Analysis of Asteroids
por: Liu, Zhaoxing, et al.
Publicado: (2025)

Finding Strongly Lensed Supernovae from Blended Light Curves
por: Park, Sangwoo, et al.
Publicado: (2026)

ExoSpikeNet: A Light Curve Analysis Based Spiking Neural Network for Exoplanet Detection
por: Chatterjee, Maneet, et al.
Publicado: (2024)

FALCO: a Foundation model of Astronomical Light Curves for time dOmain astronomy
por: Zuo, Xiaoxiong, et al.
Publicado: (2025)

D$_4$CNN$\times$AnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation
por: Lin, Shurui, et al.
Publicado: (2026)

Identification of Star Clusters in M31 from PAndAS Images Based on Deep Learning
por: Zhang, Baisong, et al.
Publicado: (2025)

Image-Based Multi-Survey Classification of Light Curves with a Pre-Trained Vision Transformer
por: Moreno-Cartagena, Daniel, et al.
Publicado: (2025)

QLP Data Release Notes 004: TESS-Gaia Light Curve Photometry Implementation
por: Petitpas, Glen, et al.
Publicado: (2026)

Advancing Gamma-Ray Burst Identification through Transfer Learning with Convolutional Neural Networks
por: Zhang, Peng, et al.
Publicado: (2024)

Two Point Correlation Function Estimation with Contaminated Data
por: Farahi, Arya
Publicado: (2026)

Machine Learning in Stellar Astronomy: Progress up to 2024
por: Li, Guangping, et al.
Publicado: (2025)