DESI Cosmic Void Galaxies
ARD factory + environmental quenching research in cosmic voids.
RadioAstronomy.io
Computational astronomy research investigating galaxy evolution, cosmic large-scale structure, and quasar physics using DESI and modern spectroscopic surveys
Our Mission
This organization produces research outputs in astronomy and data science, building analysis-ready datasets from large public sources. The methodology was validated through the Steam Dataset 2025 — a multi-modal gaming analytics ARD with strong engagement and downloads on both Kaggle and Zenodo — and is now being applied to DESI DR1 spectroscopic surveys.
Current work spans galaxy evolution in different cosmic environments, AGN feedback mechanisms, and ML-driven spectral analysis. The research runs on purpose-built infrastructure that enables reproducibility at scale.
Organization Overview
Active Projects
DESI QSO Anomaly Detection
ML anomaly detection on QSO spectra using autoencoders.
DESI Quasar Outflows
AGN feedback and outflow energetics survey.
RBH-1 Validation
Hypervelocity SMBH candidate reanalysis and validation.
Year of Code 2026
AI/ML sandbox and learning repository.
Proxmox Astronomy Lab
Platform documentation and infrastructure automation.
Data Scale
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Galaxy Catalog Rows
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Void Classifications
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Value-Added Catalogs
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Compute Nodes
Open Science Philosophy
We practice open science and open methodology — our version of "showing your work":
- Research methodologies are fully documented and repeatable
- Infrastructure configurations are version-controlled and automated
- Scripts and pipelines are published so others can learn, adapt, or improve them
- Learning processes are captured and shared for community benefit