SpecZoo: An AI-Powered Platform for Spectral Analysis and Visualization in Science and Education

TL;DR

SpecZoo is an AI-powered platform that streamlines spectral data visualization, classification, and analysis, significantly aiding astronomical research and education with advanced tools and integration capabilities.

Contribution

The paper introduces SpecZoo, a comprehensive spectral analysis platform that combines machine learning and information technology to improve efficiency and accessibility in spectral data research.

Findings

Supports major astronomical surveys like LAMOST, SDSS, DESI

Enables automated spectral classification and parameter measurement

Facilitates science-education integration with spectral data tools

Abstract

Astronomical spectra, which encode rich astrophysical and chemical information, are fundamental to understanding celestial objects and universal laws. The advent of large-scale spectroscopic surveys, generating tens of millions of spectra, presents significant challenges for efficient data processing and analysis. To address these challenges, we develop an AI-powered platform (named ``SpecZoo'') for spectral visualization and analysis. This platform integrates modern information technology and machine learning to lower the barrier to spectral data utilization and enhance research efficiency. Its core functionalities include interactive visualization, automated spectral classification, physical parameter measurement, spectral annotation, and multi-band/multi-modal data fusion, all supported by flexible user and data management systems. It has become an essential tool for the National Astronomical Data Center, directly supporting spectral data processing and research for major projects including LAMOST, SDSS, DESI, and so on. Furthermore, the platform demonstrates strong potential for science-education integration, providing a novel resource for cultivating talent in astronomy and data science.