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相关论文: Optimal 1D Ly-$\alpha$ Forest Power Spectrum Estim…

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We investigate the promise of the Ly-alpha forest for high precision cosmology in the era of the Sloan Digital Sky Survey using low order N-point statistics. We show that with the existing data one can determine the amplitude, slope and…

天体物理学 · 物理学 2009-11-07 R. Mandelbaum , P. McDonald , U. Seljak , R. Cen

The analysis of the Lyman-alpha forest of absorption lines in quasar spectra has emerged as a potentially powerful technique to constrain the linear matter power spectrum. In most previous work, the amplitude of the ionizing background was…

天体物理学 · 物理学 2009-11-11 Adam Lidz , Katrin Heitmann , Lam Hui , Salman Habib , Michael Rauch , Wallace L. W. Sargent

The Lyman alpha forest power spectrum has been measured on large scales by the BOSS survey in SDSS-III at $z\sim 2.3$, has been shown to agree well with linear theory predictions, and has provided the first measurement of Baryon Acoustic…

宇宙学与河外天体物理 · 物理学 2015-12-16 Andreu Arinyo-i-Prats , Jordi Miralda-Escudé , Matteo Viel , Renyue Cen

We review recent developments in the theory of the Lyman-alpha forest and their implications for the role of the forest as a test of cosmological models. Simulations predict a relatively tight correlation between the local Lya optical depth…

天体物理学 · 物理学 2009-11-07 David H. Weinberg , Romeel Dav'e , Neal Katz , Juna A. Kollmeier

The apparent angular positions of quasars are deflected on the sky by the gravitational field sourced by foreground matter. This weak lensing effect is measurable through the distortions it introduces in the lensed quasar spectra.…

宇宙学与河外天体物理 · 物理学 2025-02-03 Patrick Shaw , Rupert A. C. Croft , R. Benton Metcalf

Precision measurements of the galaxy power spectrum P(k) require a data analysis pipeline that is both fast enough to be computationally feasible and accurate enough to take full advantage of high-quality data. We present a rigorous…

天体物理学 · 物理学 2009-10-07 Max Tegmark , Andrew Hamilton , Michael Strauss , Michael Vogeley , Alexander Szalay

The Lyman-alpha (Lya) forest is a unique probe of cosmology and the intergalactic medium at high redshift and small scales. The statistical power of the ongoing Dark Energy Spectroscopic Instrument (DESI) demands precise theoretical tools…

宇宙学与河外天体物理 · 物理学 2025-12-16 Roger de Belsunce , Boryana Hadzhiyska , Mikhail M. Ivanov

The flux power spectra of the Lyman-alpha forest from a sample of 27 QSOs taken with the high resolution echelle spectrograph UVES on VLT are presented. We find a similar fluctuation amplitude at the peak of the ``3D'' flux power spectrum…

天体物理学 · 物理学 2008-11-26 T. -S. Kim , M. Viel , M. G. Haehnelt , R. F. Carswell , S. Cristiani

The combined analysis of the cosmic microwave background on large scales and Lyman-alpha forest on small scales provides a sufficiently long lever arm to obtain strong constraints on the slope and curvature of the power spectrum of…

天体物理学 · 物理学 2009-11-10 Matteo Viel , Jochen Weller , Martin Haehnelt

Recent studies have focused on the low-$z$ Ly$\alpha$ forest as a potential constraint on galactic feedback, as different AGN and stellar feedback models in hydrodynamic simulations produce varying intergalactic medium (IGM) statistics.…

We present the first optimal power spectrum estimation and three dimensional deprojections for the dark and luminous matter and their cross correlations. The results are obtained using a new optimal fast estimator (Pen 2003) deprojected…

天体物理学 · 物理学 2009-11-07 Ue-Li Pen , Tingting Lu , Ludovic van Waerbeke , Yannick Mellier

High redshift measurements of the baryonic acoustic oscillation scale (BAO) from large Ly-alpha forest surveys represent the next frontier of dark energy studies. As part of this effort, efficient simulations of the BAO signature from the…

宇宙学与河外天体物理 · 物理学 2015-05-28 Bradley Greig , James S. Bolton , J. Stuart B. Wyithe

We present the first independent re-analysis of the galaxy clustering data from DESI Data Release 1, utilizing an effective field theory full-shape model. We analyze the power spectra and bispectra of the public catalogs using a…

宇宙学与河外天体物理 · 物理学 2026-01-15 Anton Chudaykin , Mikhail M. Ivanov , Oliver H. E. Philcox

We measure the linear power spectrum of mass density fluctuations at redshift z=2.5 from the \lya forest absorption in a sample of 19 QSO spectra, using the method introduced by Croft et al. (1998). The P(k) measurement covers the range…

天体物理学 · 物理学 2009-10-31 Rupert A. C. Croft , David H. Weinberg , Max Pettini , Lars Hernquist , Neal Katz

The Ly$\alpha$ forest provides one of the best means of mapping large-scale structure at high redshift, including our tightest constraint on the distance-redshift relation before cosmic noon. We describe how the large-scale correlations in…

宇宙学与河外天体物理 · 物理学 2021-06-02 Shi-Fan Chen , Zvonimir Vlah , Martin White

We measure the filling factor, correlation function, and power spectrum of transmitted flux in a large sample of Lya forest spectra, comprised of 30 Keck HIRES spectra and 23 Keck LRIS spectra. We infer the linear matter power spectrum P(k)…

Properties of $\sim$ 6 000 Ly-$\alpha$ absorbers observed in 19 high resolution spectra of QSOs are investigated using the model of formation and evolution of DM structure elements based on the Zel'dovich theory. This model asserts that…

天体物理学 · 物理学 2009-11-11 M. Demianski , A. G. Doroshkevich , V. I. Turchaninov

The currently observing Dark Energy Spectroscopic Instrument (DESI) places sub-percent constraints on the Baryon Acoustic Oscillations (BAO) scaling parameters from the Lyman-$\alpha$ (Ly-$\alpha$) forest. However, no systematic error…

宇宙学与河外天体物理 · 物理学 2025-03-18 Boryana Hadzhiyska , Roger de Belsunce , Andrei Cuceu , Julien Guy , Mikhail M. Ivanov , Henri Coquinot , Andreu Font-Ribera

We present DeepCHART (Deep learning for Cosmological Heterogeneity and Astrophysical Reconstruction via Tomography), a deep learning framework designed to reconstruct the three-dimensional dark matter density field at redshift $z=2.5$ from…

宇宙学与河外天体物理 · 物理学 2025-07-02 Soumak Maitra , Matteo Viel , Girish Kulkarni