Optimizing BAO measurements with non-linear transformations of Lyman-alpha forest

Abstract

We explore the effect of applying a non-linear transformation to the Lyman-$\alpha$ forest transmitted flux $F=e^{-\tau }$ and the ability of analytic models to predict the resulting clustering amplitude. Both the large-scale bias of the transformed field (signal) and the amplitude of small scale fluctuations (noise) can be arbitrarily modified, but we were unable to find a transformation that increases significantly the signal-to-noise ratio on large scales using Taylor expansion up to third order. In particular, however, we achieve a 33% improvement in signal to noise for Gaussianized field in transverse direction. On the other hand, we explore an analytic model for the large-scale biasing of the Ly$\alpha$ forest, and present an extension of this model to describe the biasing of the transformed fields. Using hydrodynamic simulations we show that the model works best to describe the biasing with respect to velocity gradients, but is less successful in predicting the biasing with respect to large-scale density fluctuations, especially for very nonlinear transformations.

arXiv comment18 pages, 11 figures, accepted by JCAP

References in corpus (28)

• Detection of the Baryon Acoustic Peak in the Large-Scale Correlation Function of SDSS Luminous Red Galaxies
• The 2dF Galaxy Redshift Survey: Power-spectrum analysis of the final dataset and cosmological implications
• The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: Baryon Acoustic Oscillations in the Data Release 10 and 11 galaxy samples
• Observational Probes of Cosmic Acceleration
• The WiggleZ Dark Energy Survey: mapping the distance-redshift relation with baryon acoustic oscillations
• Baryon Acoustic Oscillations in the Lyα forest of BOSS DR11 quasars
• Probing Dark Energy with Baryonic Acoustic Oscillations from Future Large Galaxy Redshift Surveys
• A New Calculation of the Ionizing Background Spectrum and the Effects of HeII Reionization
• Baryon Acoustic Oscillations in the Ly-α forest of BOSS quasars
• The Lyman Alpha Forest in the Spectra of QSOs
• The Lyman-alpha Forest Power Spectrum from the Sloan Digital Sky Survey
• Recovery of the Power Spectrum of Mass Fluctuations from Observations of the Lyman-alpha Forest
• Clustering of dark matter tracers: generalizing bias for the coming era of precision LSS
• The Physics of the Intergalactic Medium
• The Observed Probability Distribution Function, Power Spectrum, and Correlation Function of the Transmitted Flux in the Lyman-alpha Forest
• Measurement of Baryon Acoustic Oscillations in the Lyman-alpha Forest Fluctuations in BOSS Data Release 9
• The Power Spectrum of Mass Fluctuations Measured from the Lyman-alpha Forest at Redshift z=2.5
• The Lyman-$\alpha$ forest in optically-thin hydrodynamical simulations
• Rejuvenating the matter power spectrum: restoring information with a logarithmic density mapping
• Dark energy and curvature from a future baryonic acoustic oscillation survey using the Lyman-alpha forest
• The Shift of the Baryon Acoustic Oscillation Scale: A Simple Physical Picture
• On Estimating Lyman-alpha Forest Correlations between Multiple Sightlines
• Bias, redshift space distortions and primordial nongaussianity of nonlinear transformations: application to Lyman alpha forest
• Re-capturing cosmic information
• Generating mock data sets for large-scale Lyman-α forest correlation measurements
• The Lyman-alpha Forest as a Cosmological Tool
• Cosmological information in Gaussianised weak lensing signals
• Sufficient observables for large scale structure in galaxy surveys

Cited by in corpus (4)

• Linear redshift space distortions for cosmic voids based on galaxies in redshift space
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