echo-IA

echo-IA (Enabling Cosmology with Homogenized Observations of Intrinsic Alignments) is a community space for intrinsic alignment research. We bring together catalogs, tools, datasets, and workflows so results are easier to compare, reproduce, and extend.

Our goal is practical interoperability: lightweight standards, clear provenance, and shared building blocks — so teams can plug in their data or code and get to science faster. When licensing allows, we also host or mirror on Zenodo under an echo-IA collection, always linking back to original sources.

• Catalogs: curated, public galaxy-shape catalogs with comparable metadata
• Tools: analysis libraries, pipelines, diagnostics, and plotting utilities
• Workflows: reproducible paths from inputs to posteriors (configs, CI, examples)
• Standards: minimal schemas for fields, units, and metadata; recommended citations
• Community: meetings, workshops, and issue trackers for coordination

Jump to → Collaboration & Organization

echo-IA is a collaboration across multiple cosmology communities, including LSST DESC, DESI, DES, Euclid, and NASA Roman. It operates as an open coordination space for researchers studying intrinsic alignments and related systematics in weak lensing and large-scale structure.

The initiative was founded by Jonathan Blazek and Benjamin Joachimi, who continue to provide scientific leadership and community guidance.

Elisa Chisari provides additional guidance and coordination, linking echo-IA with survey collaborations and helping drive interoperability and data-standards work.

Niko Šarčević leads day-to-day coordination, organizes workshops, and steers standards and the echo-IA Hub infrastructure.

Steering and coordination are collaborative and transparent, with open meetings and shared decision-making. All participation is welcome — whether contributing data, tools, or feedback.