Title: Astro-MoE: Mixture of Experts for Multiband Astronomical Time Series Show Chinese title

Title: Astro-MoE：多波段天文学时间序列的专家混合

Abstract: Multiband astronomical time series exhibit heterogeneous variability patterns, sampling cadences, and signal characteristics across bands. Standard transformers apply shared parameters to all bands, potentially limiting their ability to model this rich structure. In this work, we introduce Astro-MoE, a foundational transformer architecture that enables dynamic processing via a Mixture of Experts module. We validate our model on both simulated (ELAsTiCC-1) and real-world datasets (Pan-STARRS1). Show Chinese abstract

Abstract: 多波段天文学时间序列在不同波段上表现出异质的变异性模式、采样频率和信号特征。 标准变换器对所有波段应用共享参数，这可能会限制其建模这种丰富结构的能力。 在本工作中，我们引入了Astro-MoE，这是一种基础变换器架构，通过专家混合模块实现动态处理。 我们在模拟数据（ELAsTiCC-1）和真实数据集（Pan-STARRS1）上验证了我们的模型。