80TB+ of astronomy for the HDD-poor: crossmatch the Multimodal Universe from your laptop
Blog post from HuggingFace
The Multimodal Universe (MMU) consolidates over 80TB of astronomical data from more than 30 surveys into a user-friendly format, facilitating crossmatching, which links observations of the same object across different surveys. Previously, this process required significant local storage, but a recent conversion to the parquet-based HATS format, accessible via the LSDB and Hugging Face ecosystems, allows astronomers to perform crossmatches on laptops with just 4GB of RAM. This advancement democratizes access to powerful astronomical data processing, enabling researchers to conduct complex analyses without needing high-end hardware. Crossmatching plays a crucial role in identifying unique astronomical phenomena and testing hypotheses like the Platonic Representation Hypothesis, which explores the convergence of neural networks on a unified model of reality. The transformation of MMU into HATS format, supported by the LINCC Frameworks, allows efficient streaming and spatial operations, thereby enhancing the usability of astronomical data and fostering broader participation in scientific discovery.
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