~/talk

Chasing the Dark Universe with Euclid and Python: Unveiling the Secrets of the Cosmos

Talkat PyCon DE & PyData 2025 · on Thursday, 2025-04-24· at 09:05· Zeiss Plenary (Spectrum)· [machine-learning, data-science]
slides:none on file

ESA Euclid maps billions of galaxies from L2 to probe dark matter and dark energy, launched July 2023 and already releasing 63 sq deg of imaging; a public 2,000 sq deg release is scheduled for 21 Oct 2026 and the full survey targets 14,000 sq deg over six years. Production software includes catalog tools (Ukilip), power‑spectrum compressor Heracles, and a Python likelihood stack (CHLOE) refactored with JAX auto‑diff and gradient samplers to cut days‑long inference bottlenecks.

AI-written summary · about

  1. 0:00Euclid mission and Python
  2. 4:16Dark universe and Euclid's goals
  3. 11:47Cosmology basics
  4. 19:58Euclid's launch and L2 journey
  5. 24:34Euclid's instruments and data
  6. 29:59First data release and citizen science
  7. 35:39Data processing and power spectra
  8. 37:50Python tools for analysis
  9. 40:58Machine learning in cosmology
  10. 42:24Conclusion and Q&A
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