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Cosmography and Power Spectrum Estimation: a Unified Approach

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arxiv astro-ph/9710269 v2 pith:HKVP5MER submitted 1997-10-24 astro-ph

classification astro-ph
keywords powerproblemsspectrumapproachbeencomputationaldevelopedoften
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We present a unified approach to the problems of reconstruction of large-scale structure distribution in the universe and determination of the underlying power spectrum. These have often been treated as two separate problems and different analysis techniques have been developed for both. We show that there exists a simple relation between the optimal solutions to the two problems, allowing to solve for both within the same formalism. This allows one to apply computational techniques developed for one method to the other, which often leads to a significant reduction in the computational time. It also provides a self consistent treatment of linear reconstruction by optimally computing the power spectrum from the data itself.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Lya2pcf: an efficient pipeline to estimate two- and three-point correlation functions of the Lyman-$\alpha$ forest

    astro-ph.CO 2025-06 unverdicted novelty 6.0 of 10

    Lya2pcf is an efficient pipeline implementing standard algorithms for 2PCF and 3PCF of the Lyman-alpha forest, with GPU speedups over PICCA and the first large-sample anisotropic 3PCF measurement up to 80 Mpc/h.

  2. DeepWiener: Neural Networks for CMB polarization maps and power spectrum computation

    astro-ph.CO 2024-12 conditional novelty 6.0 of 10

    A U-Net trained on a Wiener-filter loss reconstructs polarized CMB E and B modes from masked noisy maps, making power spectrum estimation fast and less biased at low multipoles.

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