Computational Astronomy as Code

Open-science computational astronomy built to be reproduced. We pursue discovery-oriented research on DESI, Rubin/LSST, and COSMOS-Web surveys. The infrastructure, methodology, governance, and datasets are all published so others can use or extend them.

RadioAstronomy.io is an independent computational astronomy research lab. We run a portfolio of discovery-oriented projects on modern spectroscopic surveys, balancing work that produces community-valuable datasets with higher-risk searches for previously unknown phenomena. Everything we build, including the infrastructure it runs on, is documented and published so other institutions and researchers can verify our work, extend it, or deploy the same approach themselves.

What drives our work

Science with Purpose

Projects are selected for concrete community output: peer-reviewed papers, Value-Added Catalogs, or reusable datasets. We prioritize research addressing fundamental astrophysical questions with clear impact potential.

Discovery Hunters

Portfolio approach balancing proven methods at unprecedented scale with higher-risk searches for phenomena not accounted for in current models. Even failed high-risk projects produce methodology improvements and side-data that serve the community.

Open Science, Open IT

Infrastructure design, analysis code, database schemas, security baselines, and operational practices are all published. That includes the governance work adopted for the org itself: model cards for the AI systems in use, NIST AI RMF alignment, and CIS Controls v8.1 as a target. Governance templates are maintained publicly in the NIST AI RMF Cookbook for other small research orgs to adapt.

By the numbers

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Galaxy rows

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Void classifications

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DESI DR1 Value-Added Catalogs

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Compute nodes

Featured research

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