Pico: Parameters for the Impatient Cosmologist
arXiv:astro-ph/0606709 · doi:10.1086/508342
Abstract
We present a fast, accurate, robust and flexible method of accelerating parameter estimation. This algorithm, called Pico, can compute the CMB power spectrum and matter transfer function as well as any computationally expensive likelihoods in a few milliseconds. By removing these bottlenecks from parameter estimation codes, Pico decreases their computational time by 1 or 2 orders of magnitude. Pico has several important properties. First, it is extremely fast and accurate over a large volume of parameter space. Furthermore, its accuracy can continue to be improved by using a larger training set. This method is generalizable to an arbitrary number of cosmological parameters and to any range of l-values in multipole space. Pico is approximately 3000 times faster than CAMB for flat models, and approximately 2000 times faster then the WMAP 3 year likelihood code. In this paper, we demonstrate that using Pico to compute power spectra and likelihoods produces parameter posteriors that are very similar to those using CAMB and the official WMAP3 code, but in only a fraction of the time. Pico and an interface to CosmoMC are made publicly available at http://www.astro.uiuc.edu/~bwandelt/pico/.
9 pages, 10 figures, submitted to ApJ, LaTeX with emulateapj
References in corpus (23)
- Efficient Computation of CMB anisotropies in closed FRW models
- First Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Preliminary Maps and Basic Results
- Cosmological parameters from CMB and other data: a Monte-Carlo approach
- A Line of Sight Approach to Cosmic Microwave Background Anisotropies
- MAXIMA-1: A Measurement of the Cosmic Microwave Background Anisotropy on angular scales of 10 arcminutes to 5 degrees
- Wilkinson Microwave Anisotropy Probe (WMAP) First Year Observations: TE Polarization
- First Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Angular Power Spectrum
- DASI First Results: A Measurement of the Cosmic Microwave Background Angular Power Spectrum
- First Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Parameter Estimation Methodology
- Microwave Background Constraints on Cosmological Parameters
- A Measurement of the Angular Power Spectrum of the CMB from l = 100 to 400
- High Resolution Observations of the CMB Power Spectrum with ACBAR
- Global, Exact Cosmic Microwave Background Data Analysis Using Gibbs Sampling
- Efficient Cosmological Parameter Estimation from Microwave Background Anisotropies
- First Intrinsic Anisotropy Observations with the Cosmic Background Imager
- A brute force analysis of the COBE DMR data
- Improved Measurement of the Angular Power Spectrum of Temperature Anisotropy in the CMB from Two New Analyses of BOOMERANG Observations
- The CMB power spectrum out to l=1400 measured by the VSA
- Constraining Inflation with Cosmic Microwave Background Polarization
- Cosmological Parameter Constraints as Derived from the Wilkinson Microwave Anisotropy Probe Data via Gibbs Sampling and the Blackwell-Rao Estimator
- Rapid Calculation of Theoretical CMB Angular Power Spectra
- Fast Cosmological Parameter Estimation from Microwave Background Temperature and Polarization Power Spectra
- CMBfit: Rapid WMAP likelihood calculations with normal parameters
Cited by in corpus (47)
- Planck 2018 results. V. CMB power spectra and likelihoods
- Planck 2015 results. XI. CMB power spectra, likelihoods, and robustness of parameters
- Planck 2015 results. XIV. Dark energy and modified gravity
- A Measurement of the Cosmic Microwave Background Damping Tail from the 2500-square-degree SPT-SZ survey
- CosmoSIS: modular cosmological parameter estimation
- Constraints on Cosmology from the Cosmic Microwave Background Power Spectrum of the 2500 SPT-SZ Survey
- A measurement of secondary cosmic microwave background anisotropies with two years of South Pole Telescope observations
- The Coyote Universe II: Cosmological Models and Precision Emulation of the Nonlinear Matter Power Spectrum
- Data Analysis for Precision 21 cm Cosmology
- Quantifying discordance in the 2015 Planck CMB spectrum
- Dark Quest. I. Fast and Accurate Emulation of Halo Clustering Statistics and Its Application to Galaxy Clustering
- Measurements of the Temperature and E-Mode Polarization of the CMB from 500 Square Degrees of SPTpol Data
- COSMOPOWER: emulating cosmological power spectra for accelerated Bayesian inference from next-generation surveys
- Emulating Simulations of Cosmic Dawn for 21cm Power Spectrum Constraints on Cosmology, Reionization, and X-ray Heating
- SKYNET: an efficient and robust neural network training tool for machine learning in astronomy
- The intergalactic medium thermal history at redshift z=1.7--3.2 from the Lyman alpha forest: a comparison of measurements using wavelets and the flux distribution
- Fast Large Scale Structure Perturbation Theory using 1D FFTs
- Estimating the impact of recombination uncertainties on the cosmological parameter constraints from cosmic microwave background experiments
- Fewer Mocks and Less Noise: Reducing the Dimensionality of Cosmological Observables with Subspace Projections
- Fast and accurate CMB computations in non-flat FLRW universes
- BayesCLUMPY: Bayesian Inference with Clumpy Dusty Torus Models
- Fast and Credible Likelihood-Free Cosmology with Truncated Marginal Neural Ratio Estimation
- Parameters Estimation for the Cosmic Microwave Background with Bayesian Neural Networks
- PkANN - II. A non-linear matter power spectrum interpolator developed using artificial neural networks
- Features in the primordial power spectrum? A frequentist analysis
- Rico: An Accurate Cosmological Recombination Code
- Cosmological parameters after WMAP5: forecasts for Planck and future galaxy surveys
- Accelerating Large-Scale-Structure data analyses by emulating Boltzmann solvers and Lagrangian Perturbation Theory
- BAMBI: blind accelerated multimodal Bayesian inference
- Kernel-Based Emulator for the 3D Matter Power Spectrum from CLASS
- A Projected Estimate of the Reionization Optical Depth Using the CLASS Experiment's Sample-Variance Limited E-Mode Measurement
- Cosmic Microwave Background Acoustic Peak Locations
- Deciphering the Archaeological Record: Cosmological Imprints of Non-Minimal Dark Sectors
- CosmicNet I: Physics-driven implementation of neural networks within Boltzmann-Einstein solvers
- Intelligent Design: On the Emulation of Cosmological Simulations
- CMB likelihood approximation by a Gaussianized Blackwell-Rao estimator
- Gaussianisation for fast and accurate inference from cosmological data
- Assessing Consistency Between WMAP 9-year and Planck 2015 Temperature Power Spectra
- Semi-blind Bayesian inference of CMB map and power spectrum
- Predicted Constraints on Cosmic String Tension from Planck and Future CMB Polarization Measurements
- Designing Decisive Detections
- Learn-As-You-Go Acceleration of Cosmological Parameter Estimates
- Markov Chain Beam Randomization: a study of the impact of PLANCK beam measurement errors on cosmological parameter estimation
- Estimates of unresolved point sources contribution to WMAP 5
- Grid-based exploration of cosmological parameter space with Snake
- Caching and Interpolated Likelihoods: Accelerating Cosmological Monte Carlo Markov Chains
- The Parameter-Level Performance of Covariance Matrix Conditioning in Cosmic Microwave Background Data Analyses