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Blast.jl: Differentiable Non-Limber Power Spectra for Joint Clustering, Shear, and CMB lensing Analyses — arXiv:2609.01855

Source: arXiv (en)
Original: https://arxiv.org/abs/2609.01855
License (as archived): CC0-1.0
Archived: 2026-10-17T06:18:06.404Z
SHA-256 of the archived text: 8676be0809ec5901562824614ea11480337a7c81444911b472a691a8a8ac8c29
Stable URL of this page: https://metraipolis.com/documento/dc_2cae0d33db8a

How to cite

Blast.jl: Differentiable Non-Limber Power Spectra for Joint Clustering, Shear, and CMB lensing Analyses — arXiv:2609.01855 — arXiv (en), https://arxiv.org/abs/2609.01855 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_2cae0d33db8a (Metraipolis archive dc_2cae0d33db8a, sha256 8676be0809ec5901562824614ea11480337a7c81444911b472a691a8a8ac8c29)

BibTeX

@misc{dc2cae0d33db8a,
  title = {Blast.jl: Differentiable Non-Limber Power Spectra for Joint Clustering, Shear, and CMB lensing Analyses — arXiv:2609.01855},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2609.01855},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_2cae0d33db8a; sha256 8676be0809ec5901562824614ea11480337a7c81444911b472a691a8a8ac8c29},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2609.01855. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Upcoming large-scale structure surveys require accurate theoretical predictions for angular power spectra on the largest angular scales, where the commonly used Limber approximation breaks down and multiple relativistic and observational effects become relevant. At the same time, modern cosmological analyses increasingly rely on gradient-based inference techniques, motivating the development of fast, fully differentiable algorithms. In this work, we present a major extension of this http URL , a numerical toolkit for the efficient computation of non-Limber angular power spectra. Building on the Chebyshev-polynomial decomposition of the original framework, the updated algorithm incorporates redshift-space distortions, magnification bias, primordial non-Gaussianity, intrinsic alignments, CMB lensing, and the integrated Sachs-Wolfe effect, while remaining fully differentiable through custom automatic differentiation rules. Despite the increased physical complexity, the algorithm retains favorable scaling by precomputing all cosmology-independent quantities. We validate the expanded framework against brute-force integration and established cosmological codes, and provide a detailed analysis of the trade-off between computational speed and precision as a function of the algorithm hyperparameters. We demonstrate the readiness of this http URL for gradient-based inference through a simulated likelihood analysis with LSST Y10-like mock data, recovering unbiased cosmological and nuisance parameter constraints from a 35-parameter model using gradient-based samplers.

Tema degli esploratori: fisica e astronomia (retro-catalogo arXiv: annunci del 2026-09-03 in astro-ph.IM).
Categorie arXiv: Cosmology and Nongalactic Astrophysics (astro-ph.CO) ; Instrumentation and Methods for Astrophysics (astro-ph.IM).
Pagina del lavoro: https://arxiv.org/abs/2609.01855 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-17T05:53:31.849Z dalla pagina https://arxiv.org/catchup/astro-ph.IM/2026-09-03?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).