SpecZoo: An AI-Powered Platform for Spectral Analysis and Visualization in Science and Education
Yuan-Hao Pu, Guo-Hong Lei, Yang Xu, Xun-Zhou Chen, Hai-Jun Tian

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…
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Taxonomy
TopicsGamma-ray bursts and supernovae · Astronomy and Astrophysical Research · Astronomical Observations and Instrumentation
