Learning to Concentrate: Multi-tracer Forecasts on Local Primordial Non-Gaussianity with Machine-Learned Bias

Abstract

Local primordial non-Gaussianity (LPNG) is predicted by many non-minimal models of inflation, and creates a scale-dependent contribution to the power spectrum of large-scale structure (LSS) tracers, whose amplitude is characterized by $b_{\varphi }$. Knowledge of $b_{\varphi }$ for the observed tracer population is therefore crucial for learning about inflation from LSS. Recently, it has been shown that the relationship between linear bias $b_1$ and $b_{\varphi }$ for simulated halos exhibits significant secondary dependence on halo concentration. We leverage this fact to forecast multi-tracer constraints on $f_{NL}^{\mathrm{loc}}$. We train a machine learning model on observable properties of simulated Illustris-TNG galaxies to predict $b_{\varphi }$ for samples constructed to approximate DESI emission line galaxies (ELGs) and luminous red galaxies (LRGs). We find $\sigma (f_{NL}^{\mathrm{loc}})=2.3$, and $\sigma (f_{NL}^{\mathrm{loc}})=3.7$, respectively. These forecasted errors are roughly factors of 3, and 35\% improvements over the single-tracer case for each sample, respectively. When considering both ELGs and LRGs in their overlap region, we forecast $\sigma (f_{NL}^{\mathrm{loc}})=1.5$ is attainable with our learned model, more than a factor of 3 improvement over the single-tracer case, while the ideal split by $b_{\varphi }$ could reach $\sigma (f_{NL}^{\mathrm{loc}})<1$. We also perform multi-tracer forecasts for upcoming spectroscopic surveys targeting LPNG (MegaMapper, SPHEREx) and show that splitting tracer samples by $b_{\varphi }$ can lead to an order-of-magnitude reduction in projected $\sigma (f_{NL}^{\mathrm{loc}})$ for these surveys.

arXiv comment32 pages, 9 figures, 4 tables, Published version

References in corpus (73)

• XGBoost: A Scalable Tree Boosting System
• Planck 2015 results. XIII. Cosmological parameters
• A Universal Density Profile from Hierarchical Clustering
• Efficient Computation of CMB anisotropies in closed FRW models
• First results from the IllustrisTNG simulations: matter and galaxy clustering
• Toward a halo mass function for precision cosmology: the limits of universality
• First results from the IllustrisTNG simulations: the stellar mass content of groups and clusters of galaxies
• First results from the IllustrisTNG simulations: the galaxy color bimodality
• The Simons Observatory: Science goals and forecasts
• First results from the IllustrisTNG simulations: A tale of two elements -- chemical evolution of magnesium and europium
• First results from the IllustrisTNG simulations: radio haloes and magnetic fields
• The Large Scale Bias of Dark Matter Halos: Numerical Calibration and Model Tests
• Karhunen-Loeve eigenvalue problems in cosmology: how should we tackle large data sets?
• The imprints of primordial non-gaussianities on large-scale structure: scale dependent bias and abundance of virialized objects
• Large-Scale Galaxy Bias
• Improving Cosmological Distance Measurements by Reconstruction of the Baryon Acoustic Peak
• COLOSSUS: A python toolkit for cosmology, large-scale structure, and dark matter halos
• Constraints on local primordial non-Gaussianity from large scale structure
• Measuring primordial non-gaussianity without cosmic variance
• How to measure redshift-space distortions without sample variance
• Target Selection and Validation of DESI Luminous Red Galaxies
• Toward a Measurement of the Cosmological Geometry at z~2: Predicting Lyman-alpha Forest Correlation in Three Dimensions, and the Potential of Future Data Sets
• Super-Sample Covariance in Simulations
• The Clustering of DESI-like Luminous Red Galaxies Using Photometric Redshifts
• Cosmology with the SPHEREX All-Sky Spectral Survey
• Mass Function Predictions Beyond LCDM
• Halo Stochasticity from Exclusion and non-linear Clustering
• Initial conditions to cosmological N-body simulations, or how to run an ensemble of simulations
• Target Selection and Validation of DESI Emission Line Galaxies
• Galaxy Bias and non-Linear Structure Formation in General Relativity
• The MillenniumTNG Project: The hydrodynamical full physics simulation and a first look at its galaxy clusters
• Parameter constraints from cross-correlation of CMB lensing with galaxy clustering
• Separate Universe Simulations
• Redshift-weighted constraints on primordial non-Gaussianity from the clustering of the eBOSS DR14 quasars in Fourier space
• Constraints on primordial non-Gaussianity from 800,000 photometric quasars
• Optimal Constraints on Local Primordial Non-Gaussianity from the Two-Point Statistics of Large-Scale Structure
• On Separate Universes
• Inflation: Theory and Observations
• Primordial Non-Gaussianity from Biased Tracers: Likelihood Analysis of Real-Space Power Spectrum and Bispectrum
• Implementing the DC Mode in Cosmological Simulations with Supercomoving Variables
• The DEEP2 Galaxy Redshift Survey: Clustering Dependence on Galaxy Stellar Mass and Star Formation Rate at z~1
• Painting galaxies into dark matter halos using machine learning
• Can we actually constrain $f_{\mathrm{NL}}$ using the scale-dependent bias effect? An illustration of the impact of galaxy bias uncertainties using the BOSS DR12 galaxy power spectrum
• Verifying the consistency relation for the scale-dependent bias from local primordial non-Gaussianity
• On the impact of galaxy bias uncertainties on primordial non-Gaussianity constraints
• Galaxy bias and primordial non-Gaussianity: insights from galaxy formation simulations with IllustrisTNG
• Designing an Inflation Galaxy Survey: how to measure $\sigma (f_{\mathrm{NL}})\sim 1$ using scale-dependent galaxy bias
• GalaxyNet: Connecting galaxies and dark matter haloes with deep neural networks and reinforcement learning in large volumes
• The galaxy-halo connection of emission-line galaxies in IllustrisTNG
• The clustering of the SDSS-IV extended Baryon Oscillation Spectroscopic Survey DR16 luminous red galaxy and emission line galaxy samples: cosmic distance and structure growth measurements using multiple tracers in configuration space
• Linear response to long wavelength fluctuations using curvature simulations
• Non-Gaussian halo assembly bias
• Predictions for local PNG bias in the galaxy power spectrum and bispectrum and the consequences for $f_{\mathrm{NL}}$ constraints
• Baryonic Imprints on DM Halos: Population Statistics from Dwarf Galaxies to Galaxy Clusters
• Cosmology without cosmic variance
• Cosmology with dropout selection: Straw-man surveys and CMB lensing
• Using Large Scale Structure to test Multifield Inflation
• Illustrating galaxy-halo connection in the DESI era with IllustrisTNG
• Constraining Single-Field Inflation with MegaMapper
• Optimal dataset combining in f_nl constraints from large scale structure in an idealised case
• Assembly bias in the local PNG halo bias and its implication for $f_{\mathrm{NL}}$ constraints
• Multitracer technique for galaxy bispectrum - An application to constraints on non-local primordial non-Gaussianities -
• The MillenniumTNG Project: Refining the one-halo model of red and blue galaxies at different redshifts
• Primordial non-Gaussianities and zero bias tracers of the Large Scale Structure
• Responses of Halo Occupation Distributions: a new ingredient in the halo model & the impact on galaxy bias
• The Effective Field Theory of Large-Scale Structure and Multi-tracer
• The clustering of galaxies in the completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: Primordial non-Gaussianity in Fourier Space
• Constraining primordial non-Gaussianity by combining next-generation galaxy and 21 cm intensity mapping surveys
• Density reconstruction from biased tracers and its application to primordial non-Gaussianity
• A brief review on cosmological analysis of galaxy surveys with multiple tracers
• Robust Neural Network-Enhanced Estimation of Local Primordial Non-Gaussianity
• Shot noise in multi-tracer constraints on $f_{\text{NL}}$ and relativistic projections: Power Spectrum
• Non-Gaussian assembly bias from a semi-analytic galaxy formation model

Cited by in corpus (13)

• PNG-UNITsims: Halo clustering response to primordial non-Gaussianities as a function of mass
• Multi-tracer power spectra and bispectra: Formalism
• Taming assembly bias for primordial non-Gaussianity
• Quijote-PNG: The Information Content of the Halo Mass Function
• A multitracer analysis for the eBOSS galaxy sample based on the effective field theory of large-scale structure
• Pairwise kSZ signal extraction efficacy and optical depth estimation
• Constraining primordial non-Gaussianity by combining photometric galaxy and 21cm intensity mapping surveys
• Constraining $f_{NL}$ using the Large-Scale Modulation of Small-Scale Statistics
• Linear Relativistic Corrections in the Spherical Fourier-Bessel Power Spectrum
• Primordial non-Gaussianity systematics from redshift mismatch with SPHEREx
• Large-scale Modeling of the Observed Power Spectrum Multipoles
• Clustering analysis of medium-band selected high-redshift galaxies
• Predicting Halo Formation Time Using Machine Learning