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[AAS Winter Session 2025] On Soft Clustering for Correlation Estimators: Model Uncertainty, Differentiability, and Surrogates

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On Soft Clustering for Correlation Estimators: Model Uncertainty, Differentiability, and Surrogates

Overview

The repository contains all material that went into the American Astronomical Society Winter Session abstract, On Differentiable Correlation Functions by Edward Berman and Jacqueline McCleary.

An expanded version of that work is currently in preparation for submission to the Open Journal of Astrophysics with the title On Soft Clustering for Correlation Estimators: Model Uncertainty, Differentiability, and Surrogates by Edward Berman, Sneh Pandya, Jacqueline McCleary, Marko Shuntov, Caitlin Casey, Nicole Drakos, Andreas Faisst, Steven Gillman, Ghassem Gozaliasl, Natalie Hogg, Jeyhan Kartaltepe, Anton Koekemoer, Wilfried Mercier, Diana Scognamiglio, and COSMOS-Web: The JWST Cosmic Origins Survey.

A short summary of this work is available here

Citation

If you use this code in your research or are inspired by its ideas, please cite

@misc{CosmoCorr,
  author = {Edward Berman},
  title = {CosmoCorr: Cosmological Correlation Function Estimator},
  year = {2024},
  howpublished = {\url{https://github.com/EdwardBerman/CosmoCorr}},
  note = {Accessed: 2024-09-23}
}

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[AAS Winter Session 2025] On Soft Clustering for Correlation Estimators: Model Uncertainty, Differentiability, and Surrogates

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