The universe speaks in gamma rays - the most energetic photons that reveal cosmic catastrophes, stellar explosions, and the violent hearts of galaxies. The Compton Spectrometer and Imager (COSI) mission, launching in 2027, will revolutionize how we detect and analyze these high-energy messengers. But analyzing Compton telescope data requires sophisticated techniques that differ fundamentally from traditional imaging telescopes, demanding new computational approaches and specialized expertise.
This repository houses COSI’s annual data challenges - comprehensive training grounds built on increasingly realistic simulated observations. Each challenge provides three months of synthetic data from COSI’s planned equatorial orbit, complete with authentic source models, background radiation, and instrumental responses. Participants work with actual FITS files hosted on cloud storage, using the cosipy analysis toolkit to reconstruct gamma-ray sources, measure spectra, and develop novel analysis techniques. The challenges progressively increase in complexity, mirroring the maturation of both the mission’s analysis pipeline and our understanding of the gamma-ray sky.
These challenges serve dual purposes: they’re essential training for the COSI science team while simultaneously building a community of researchers ready to exploit the mission’s data from day one. Whether you’re developing next-generation background subtraction algorithms or preparing to hunt for gamma-ray signatures of dark matter annihilation, these realistic datasets let you perfect your techniques years before COSI begins its cosmic surveillance.
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🔗 Repository: cositools/cosi-data-challenges