Paper Citation Record · LEDGER

COSMOPOWER: emulating cosmological power spectra for accelerated Bayesian inference from next-generation surveys

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2106.03846.

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pith.paper-citation-record.v1
2106.03846 v2

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Pith citing papers itemized under the disclosed page cap.

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Pith citing papers

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Emulating Recombination with Neural Networks using Universal Differential Equations cites this paper.

Emulating Recombination with Neural Networks using Universal Differential Equations COSMOPOWER: emulating cosmological power spectra for accelerated Bayesian inference from next-generation surveys

Reference 19

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Multi-Agent System for Cosmological Parameter Analysis cites this paper.

Multi-Agent System for Cosmological Parameter Analysis COSMOPOWER: emulating cosmological power spectra for accelerated Bayesian inference from next-generation surveys

Reference 19

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Diagnosing Systematic Effects Using the Inferred Initial Power Spectrum cites this paper.

Diagnosing Systematic Effects Using the Inferred Initial Power Spectrum COSMOPOWER: emulating cosmological power spectra for accelerated Bayesian inference from next-generation surveys

Reference 116

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Effort: a fast and differentiable emulator for the Effective Field Theory of the Large Scale Structure of the Universe cites this paper.

Effort: a fast and differentiable emulator for the Effective Field Theory of the Large Scale Structure of the Universe COSMOPOWER: emulating cosmological power spectra for accelerated Bayesian inference from next-generation surveys

Reference 11

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Tuning the cosmic instrument: robust cosmology through combined probes cites this paper.

Tuning the cosmic instrument: robust cosmology through combined probes COSMOPOWER: emulating cosmological power spectra for accelerated Bayesian inference from next-generation surveys

Reference 114

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Attention-based Neural Network Emulators for Multi-Probe Data Vectors Part III: Modeling The Next Generation Surveys cites this paper.

Attention-based Neural Network Emulators for Multi-Probe Data Vectors Part III: Modeling The Next Generation Surveys COSMOPOWER: emulating cosmological power spectra for accelerated Bayesian inference from next-generation surveys

Reference 16

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Modeling nonlinear scales for dynamical dark energy cosmologies with COLA cites this paper.

Modeling nonlinear scales for dynamical dark energy cosmologies with COLA COSMOPOWER: emulating cosmological power spectra for accelerated Bayesian inference from next-generation surveys

Reference 129

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Unbiased analysis of primordial non-Gaussianity: the multipoles of the full relativistic power spectrum cites this paper.

Unbiased analysis of primordial non-Gaussianity: the multipoles of the full relativistic power spectrum COSMOPOWER: emulating cosmological power spectra for accelerated Bayesian inference from next-generation surveys

Reference 81

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CLiENT: A new tool for emulating cosmological likelihoods using deep neural networks cites this paper.

CLiENT: A new tool for emulating cosmological likelihoods using deep neural networks COSMOPOWER: emulating cosmological power spectra for accelerated Bayesian inference from next-generation surveys

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SPT-3G D1: A Measurement of Secondary Cosmic Microwave Background Anisotropy Power cites this paper.

SPT-3G D1: A Measurement of Secondary Cosmic Microwave Background Anisotropy Power COSMOPOWER: emulating cosmological power spectra for accelerated Bayesian inference from next-generation surveys

Reference 39

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The Bayesian view of DESI DR2 with unimpeded: Evidence and tension in a combined analysis with CMB and supernovae across cosmological models cites this paper.

The Bayesian view of DESI DR2 with unimpeded: Evidence and tension in a combined analysis with CMB and supernovae across cosmological models COSMOPOWER: emulating cosmological power spectra for accelerated Bayesian inference from next-generation surveys

Reference 41

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Constraining Neutrino Mass with the Void Weak Lensing Effect cites this paper.

Constraining Neutrino Mass with the Void Weak Lensing Effect COSMOPOWER: emulating cosmological power spectra for accelerated Bayesian inference from next-generation surveys

Reference 102

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Bayesian analysis of $\alpha$-Starobinsky model with Planck, ACT and DESI data cites this paper.

Bayesian analysis of $\alpha$-Starobinsky model with Planck, ACT and DESI data COSMOPOWER: emulating cosmological power spectra for accelerated Bayesian inference from next-generation surveys

Reference 46

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Replacing Gaussian Processes with Neural Networks in Pulsar Timing Array Inference of the Gravitational-Wave Background cites this paper.

Replacing Gaussian Processes with Neural Networks in Pulsar Timing Array Inference of the Gravitational-Wave Background COSMOPOWER: emulating cosmological power spectra for accelerated Bayesian inference from next-generation surveys

Reference 11

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Machine Learning for Multi-messenger Probes of New Physics and Cosmology: A Review and Perspective cites this paper.

Machine Learning for Multi-messenger Probes of New Physics and Cosmology: A Review and Perspective COSMOPOWER: emulating cosmological power spectra for accelerated Bayesian inference from next-generation surveys

Reference 263

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Posterior sampling in the Age of Emulators cites this paper.

Posterior sampling in the Age of Emulators COSMOPOWER: emulating cosmological power spectra for accelerated Bayesian inference from next-generation surveys

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The Atacama Cosmology Telescope: Probing new signatures of ultralight axions with gravitational lensing cites this paper.

The Atacama Cosmology Telescope: Probing new signatures of ultralight axions with gravitational lensing COSMOPOWER: emulating cosmological power spectra for accelerated Bayesian inference from next-generation surveys

Reference 76

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HIcosmo: a differentiable JAX-based framework for cosmology inference cites this paper.

HIcosmo: a differentiable JAX-based framework for cosmology inference COSMOPOWER: emulating cosmological power spectra for accelerated Bayesian inference from next-generation surveys

Reference 42

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Strongest constraints on dark acoustic oscillations from the Lyman-alpha forest cites this paper.

Strongest constraints on dark acoustic oscillations from the Lyman-alpha forest COSMOPOWER: emulating cosmological power spectra for accelerated Bayesian inference from next-generation surveys

Reference 113

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Emulating the nonlinear effects of modified gravity on the matter power spectrum for reconstruction cites this paper.

Emulating the nonlinear effects of modified gravity on the matter power spectrum for reconstruction COSMOPOWER: emulating cosmological power spectra for accelerated Bayesian inference from next-generation surveys

Reference 49

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