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The 3D Lyman-\\(\\alpha\\) Forest Power Spectrum from eBOSS DR16
by
Philcox, Oliver H E
, de Belsunce, Roger
, McDonald, Patrick
, Vid Irsic
, Julien, Guy
, Palanque-Delabrouille, Nathalie
in
Contaminants
/ Covariance matrix
/ Dark energy
/ Fast Fourier transformations
/ Fields (mathematics)
/ Fourier transforms
/ Noise levels
/ Quasars
/ Red shift
/ Sampling
/ Sky surveys (astronomy)
/ Spectroscopy
2024
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The 3D Lyman-\\(\\alpha\\) Forest Power Spectrum from eBOSS DR16
by
Philcox, Oliver H E
, de Belsunce, Roger
, McDonald, Patrick
, Vid Irsic
, Julien, Guy
, Palanque-Delabrouille, Nathalie
in
Contaminants
/ Covariance matrix
/ Dark energy
/ Fast Fourier transformations
/ Fields (mathematics)
/ Fourier transforms
/ Noise levels
/ Quasars
/ Red shift
/ Sampling
/ Sky surveys (astronomy)
/ Spectroscopy
2024
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Do you wish to request the book?
The 3D Lyman-\\(\\alpha\\) Forest Power Spectrum from eBOSS DR16
by
Philcox, Oliver H E
, de Belsunce, Roger
, McDonald, Patrick
, Vid Irsic
, Julien, Guy
, Palanque-Delabrouille, Nathalie
in
Contaminants
/ Covariance matrix
/ Dark energy
/ Fast Fourier transformations
/ Fields (mathematics)
/ Fourier transforms
/ Noise levels
/ Quasars
/ Red shift
/ Sampling
/ Sky surveys (astronomy)
/ Spectroscopy
2024
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The 3D Lyman-\\(\\alpha\\) Forest Power Spectrum from eBOSS DR16
Paper
The 3D Lyman-\\(\\alpha\\) Forest Power Spectrum from eBOSS DR16
2024
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Overview
We measure the three-dimensional power spectrum (P3D) of the transmitted flux in the Lyman-a (Ly-a) forest using the complete extended Baryon Oscillation Spectroscopic Survey data release 16 (eBOSS DR16). This sample consists of 205,012 quasar spectra in the redshift range 2 <= z <= 4 at an effective redshift z=2.334. We propose a pair-count spectral estimator in configuration space, weighting each pair by exp(ikr), for wave vector k and pixel pair separation r, effectively measuring the anisotropic power spectrum without the need for fast Fourier transforms. This accounts for the window matrix in a tractable way, avoiding artifacts found in Fourier-transform based power spectrum estimators due to the sparse sampling transverse to the line-of-sight of Ly-a skewers. We extensively test our pipeline on two sets of mocks: (i) idealized Gaussian random fields with a sparse sampling of Ly-a skewers, and (ii) log-normal LyaCoLoRe mocks including realistic noise levels, the eBOSS survey geometry and contaminants. On eBOSS DR16 data, the Kaiser formula with a non-linear correction term obtained from hydrodynamic simulations yields a good fit to the power spectrum data in the range 0.02 <= k <= 0.35 h/Mpc at the 1-2 sigma level with a covariance matrix derived from LyaCoLoRe mocks. We demonstrate a promising new approach for full-shape cosmological analyses of Ly-a forest data from cosmological surveys such as eBOSS, the currently observing Dark Energy Spectroscopic Instrument and future surveys such as the Prime Focus Spectrograph, WEAVE-QSO and 4MOST.
Publisher
Cornell University Library, arXiv.org
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