An Emulator for the Lyman-alpha Forest
arXiv:1812.04654 · doi:10.1088/1475-7516/2019/02/050
Abstract
We present methods for interpolating between the 1-D flux power spectrum of the Lyman- forest, as output by cosmological hydrodynamic simulations. Interpolation is necessary for cosmological parameter estimation due to the limited number of simulations possible. We construct an emulator for the Lyman- forest flux power spectrum from small simulations using Latin hypercube sampling and Gaussian process interpolation. We show that this emulator has a typical accuracy of 1.5% and a worst-case accuracy of 4%, which compares well to the current statistical error of 3 - 5% at from BOSS DR9. We compare to the previous state of the art, quadratic polynomial interpolation. The Latin hypercube samples the entire volume of parameter space, while quadratic polynomial emulation samples only lower-dimensional subspaces. The Gaussian process provides an estimate of the emulation error and we show using test simulations that this estimate is reasonable. We construct a likelihood function and use it to show that the posterior constraints generated using the emulator are unbiased. We show that our Gaussian process emulator has lower emulation error than quadratic polynomial interpolation and thus produces tighter posterior confidence intervals, which will be essential for future Lyman- surveys such as DESI.
28 pages, 10 figures, accepted to JCAP with minor changes. Fixes a typographical error in eq. 2.3
Cited by in corpus (46)
- Strong bound on canonical ultra-light axion dark matter from the Lyman-alpha forest
- COSMOPOWER: emulating cosmological power spectra for accelerated Bayesian inference from next-generation surveys
- Ultra-light axions and the tension: joint constraints from the cosmic microwave background and galaxy clustering
- New limits on light dark matter - proton cross section from the cosmic large-scale structure
- Bayesian emulator optimisation for cosmology: application to the Lyman-alpha forest
- Fuzzy Dark Matter and the Dark Energy Survey Year 1 Data
- The Aemulus Project V: Cosmological constraint from small-scale clustering of BOSS galaxies
- An emulator for the Lyman- forest in beyond-CDM cosmologies
- General framework for cosmological dark matter bounds using -body simulations
- Inferring the Thermal History of the Intergalactic Medium from the Properties of the Hydrogen and Helium Lyman-alpha Forest
- Accelerating Large-Scale-Structure data analyses by emulating Boltzmann solvers and Lagrangian Perturbation Theory
- On The XUV Luminosity Evolution of TRAPPIST-1
- Mixed dark matter: matter power spectrum and halo mass function
- Simulating intergalactic gas for DESI-like small scale Lymanα forest observations
- Machine Learning for Observational Cosmology
- Beyond two-point statistics: using the minimum spanning tree as a tool for cosmology
- Multi-Fidelity Emulation for the Matter Power Spectrum using Gaussian Processes
- : Halo Model Emulator for the Galaxy Power Spectrum
- PRIYA: A New Suite of Lyman-alpha Forest Simulations for Cosmology
- Parameter Inference for Weak Lensing using Gaussian Processes and MOPED
- Cosmological Constraints from the eBOSS Lyman- Forest using the PRIYA Simulations
- The effect of inhomogeneous reionisation on the Lyman- forest power spectrum at redshift : implications for thermal parameter recovery
- Compressing the cosmological information in one-dimensional correlations of the Lyman- forest
- Fast and robust Bayesian Inference using Gaussian Processes with GPry
- Massive neutrinos and degeneracies in Lyman-alpha forest simulations
- A neural network emulator for the Lyman- 1D flux power spectrum
- Possible evidence for a large-scale enhancement in the Lyman- forest power spectrum at redshift
- The Sejong Suite: Cosmological Hydrodynamical Simulations with Massive Neutrinos, Dark Radiation, and Warm Dark Matter
- A Multi-Fidelity Emulator for the Lyman- Forest Flux Power Spectrum
- Parameter inference and model comparison using theoretical predictions from noisy simulations
- Cosmic Filaments from Cosmic Strings
- A field-level emulator for modeling baryonic effects across hydrodynamic simulations
- Constraining Mixed Dark Matter models with high redshift Lyman-alpha forest data
- Small scale clustering of BOSS galaxies: dependence on luminosity, color, age, stellar mass, specific star formation rate and other properties
- Boosting Line Intensity Map Signal-to-Noise with the Ly- Forest Cross-Correlation
- MF-Box: Multi-fidelity and multi-scale emulation for the matter power spectrum
- The BACCO Simulation Project: A baryonification emulator with Neural Networks
- An Optimized Ly Forest Inversion Tool Based on a Quantitative Comparison of Existing Reconstruction Methods
- Lognormal semi-numerical simulations of the Lyman- forest: comparison with full hydrodynamic simulations
- Effect of Separate Initial Conditions on the Lyman- Forest in Simulations
- Stellar halos tracing the assembly of ultra-faint dwarf galaxies
- Harvesting the Lyα forest with convolutional neural networks
- ForestFlow: predicting the Lyman- forest clustering from linear to nonlinear scales
- Parameter inference with non-linear galaxy clustering: accounting for theoretical uncertainties
- Neural network emulator to constrain the high- IGM thermal state from Lyman- forest flux auto-correlation function
- Generation of Lognormal Synthetic Lyman- Forest Spectra for Analysis