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Welcome to echo-IA

echo-IA (Enabling Cosmology with Homogenized Observations of Intrinsic Alignments)
is a collaboration of researchers working on intrinsic alignments (IA) across modeling, observations, and simulations.

We serve as a central hub that connects efforts, datasets, and tools from many teams, making IA research more cohesive, comparable, and reproducible.

Through shared standards and open infrastructure, we aim to accelerate progress toward a unified understanding of intrinsic alignments across surveys and methods.


Visit our website: echoia.org


Quick links


What we do

  • Collaboration: bring together researchers, codes, and datasets across surveys and methods
  • Integration: develop shared tools and standards to make IA results directly comparable
  • Support: build infrastructure that helps teams collaborate and advance a unified view of intrinsic alignments

Get involved

  • Open a PR to add a catalog or tool following our submission guide
  • Join a working call (see Meetings)
  • Start a discussion in the org or file an issue in echoia-hub

Citation

If the echo-IA collaboration supported or informed your research, please include this acknowledgment:

This work benefited from the resources and support provided by the echo-IA collaboration (https://echo-ia.org).

Popular repositories Loading

  1. CAROLINA CAROLINA Public

    CAROLINA workshop at Duke (Sept 2025)

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  2. LILAC LILAC Public

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    LILAC workshop in Boston (May 2024)

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  3. FebKickoff FebKickoff Public

    Forked from LFITaskForce/BerkeleyMeeting

    echoIA Kickoff Workshop

    1 1

  4. IAmeasurementsStore IAmeasurementsStore Public

    Repo for IA measurements

    Jupyter Notebook 1

  5. IAmodeling IAmodeling Public

    Modeling software and examples for IA and related statistics

    Jupyter Notebook 1

  6. 3rd-order_statistics 3rd-order_statistics Public

    1 1

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