pith. sign in

arxiv: 2509.14322 · v2 · submitted 2025-09-17 · 🌌 astro-ph.CO

Probing the limits of cosmological information from the Lyman-α forest 2-point correlation functions

Wynne Turner , Andrei Cuceu , Paul Martini , J. Aguilar , S. Ahlen , A. Anand , D. Bianchi , D. Brooks
show 43 more authors
L. Casas T. Claybaugh A. de la Macorra B. Dey P. Doel S. Ferraro A. Font-Ribera J. E. Forero-Romero E. Gazta\~naga S. Gontcho A Gontcho G. Gutierrez H. K. Herrera-Alcantar K. Honscheid M. Ishak R. Joyce R. Kehoe D. Kirkby A. Kremin O. Lahav M. Landriau L. Le Guillou M. Manera R. Miquel A. Mu\~noz-Guti\'errez S. Nadathur G. Niz N. Palanque-Delabrouille W. J. Percival C. Poppett F. Prada A. J. Ross G. Rossi E. Sanchez D. Schlegel M. Schubnell H. Seo J. Silber D. Sprayberry G. Tarl\'e M. Walther B. A. Weaver R. Zhou H. Zou
This is my paper

Pith reviewed 2026-05-18 15:36 UTC · model grok-4.3

classification 🌌 astro-ph.CO
keywords Lyman-alpha forestcosmological parametersAlcock-Paczynski effectcontinuum fittingcorrelation functionslarge-scale structure
0
0 comments X p. Extension

The pith

Knowledge of the true continuum reduces uncertainties on the Alcock-Paczynski parameter by about 10 percent in Lyman-alpha forest analyses.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper examines the effects of continuum fitting on the Lyman-alpha forest 2-point correlation functions, which normally suppress large-scale cosmological information. Using idealized synthetic data, it compares the standard continuum fitting approach to using the true continuum and extending the analysis to larger separations of 240 h^{-1}Mpc. A sympathetic reader would care because recovering this information could tighten constraints on the universe's expansion without requiring bigger surveys. The work shows that true continuum knowledge alone gives roughly 10 percent better precision on the Alcock-Paczynski parameter and matter density.

Core claim

Using idealized synthetic data, the analysis finds that knowledge of the true continuum enables a ∼10% reduction in uncertainties on the Alcock-Paczyński parameter and the matter density Ω_m. Extending the analysis to separations of 240 h^{-1}Mpc along and across the line of sight, the combination yields up to a ∼15% improvement in AP constraints, equivalent to extending the survey area by ∼40%.

What carries the argument

The Lyman-α forest auto-correlation function and its cross-correlation with quasars, analyzed with and without continuum fitting distortions on scales up to 240 h^{-1}Mpc.

If this is right

  • Reduces uncertainties on the Alcock-Paczynski parameter by up to 15%.
  • Improves constraints on the matter density Ω_m.
  • Recovers significant large-scale information suppressed by standard continuum fitting.
  • Provides constraints equivalent to a 40% increase in survey area.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • This suggests that developing better continuum estimation methods could enhance future cosmological surveys.
  • Large-scale information in the forest might complement other probes like CMB or galaxy surveys for dark energy studies.
  • The idealized nature means real applications would need to account for additional systematics.

Load-bearing premise

The idealized synthetic data accurately reproduces the distortions introduced by continuum fitting and the information content on large scales without additional real-world systematics such as noise or instrument effects.

What would settle it

Performing the analysis on actual observational data from a Lyman-alpha forest survey and measuring whether the improvement in AP parameter constraints matches the forecasted 10-15% reduction when using improved continuum methods.

read the original abstract

The standard cosmological analysis with the Ly$\alpha$ forest relies on a continuum fitting procedure that suppresses information on large scales and distorts the three-dimensional correlation function on all scales. In this work, we present the first cosmological forecasts without continuum fitting distortion in the Ly$\alpha$ forest, focusing on the recovery of large-scale information. Using idealized synthetic data, we compare the constraining power of the full shape of the Ly$\alpha$ forest auto-correlation and its cross-correlation with quasars using the baseline continuum fitting analysis versus the true continuum. We find that knowledge of the true continuum enables a $\sim10\%$ reduction in uncertainties on the Alcock-Paczy\'nski (AP) parameter and the matter density, $\Omega_\mathrm{m}$. We also explore the impact of large-scale information by extending the analysis up to separations of $240\,h^{-1}\mathrm{Mpc}$ along and across the line of sight. The combination of these analysis choices can recover significant large-scale information, yielding up to a $\sim15\%$ improvement in AP constraints. This improvement is analogous to extending the Ly$\alpha$ forest survey area by $\sim40\%$.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

1 major / 2 minor

Summary. The manuscript presents the first cosmological forecasts for the Lyman-α forest auto- and cross-correlation functions that avoid continuum-fitting distortions. Using idealized synthetic data, it compares the baseline continuum-fitting analysis to an analysis with the true continuum and reports that knowledge of the true continuum yields a ∼10% reduction in uncertainties on the Alcock-Paczyński parameter and Ω_m. Extending the analysis to separations of 240 h^{-1} Mpc produces up to a ∼15% improvement in AP constraints, stated to be equivalent to a ∼40% increase in survey area.

Significance. If the idealized mocks faithfully capture the relevant distortions and covariance structure, the work provides a quantitative benchmark for the cosmological information lost to continuum fitting and demonstrates that recovering large-scale modes can meaningfully tighten constraints on expansion history and matter density. This is directly relevant to ongoing and future Lyα forest surveys and could guide mitigation strategies or alternative analysis approaches.

major comments (1)
  1. [§3] §3 (synthetic data generation): the central ∼10% and ∼15% improvement figures are obtained by comparing two analysis choices on forward-simulated mocks; because the claimed gains rest on the mocks accurately reproducing the precise scale-dependent power suppression, noise correlations, and large-scale covariance induced by real continuum fitting, the manuscript should include explicit validation (e.g., comparison of distortion kernels or power-spectrum residuals against more realistic simulations or data) that any mismatch would directly affect the forecasted gains.
minor comments (2)
  1. [Figure 4] Figure 4 (or equivalent results panel): the error-bar comparisons would be clearer if the fractional improvement were shown explicitly rather than requiring the reader to compute ratios from the plotted values.
  2. [§2] Notation: the definition of the AP parameter and its relation to the transverse and line-of-sight scales should be stated once in the methods section for readers outside the immediate sub-field.

Simulated Author's Rebuttal

1 responses · 0 unresolved

We thank the referee for their careful reading of the manuscript and for the constructive comment. We address the major comment below and have revised the manuscript to improve clarity on the limitations of our idealized mocks while maintaining the focus of the work.

read point-by-point responses

  1. Referee: §3 (synthetic data generation): the central ∼10% and ∼15% improvement figures are obtained by comparing two analysis choices on forward-simulated mocks; because the claimed gains rest on the mocks accurately reproducing the precise scale-dependent power suppression, noise correlations, and large-scale covariance induced by real continuum fitting, the manuscript should include explicit validation (e.g., comparison of distortion kernels or power-spectrum residuals against more realistic simulations or data) that any mismatch would directly affect the forecasted gains.

    Authors: We agree that the quantitative gains we report depend on the fidelity with which our mocks reproduce the scale-dependent effects of continuum fitting. Section 3 describes an idealized forward model chosen precisely to isolate the continuum-fitting distortion from other observational systematics, allowing a clean comparison between the baseline and true-continuum analyses. We have added a new paragraph to §3 that (i) explicitly states the assumptions underlying the mock generation, (ii) compares the analytic distortion kernel used in our mocks to the kernels reported in the literature from more detailed simulations (e.g., those including quasar continuum variability and metal-line contamination), and (iii) discusses how any residual mismatch would propagate into the forecasted improvements on the AP parameter and Ω_m. A full end-to-end validation against the most realistic mocks available would require a separate, computationally intensive study that lies outside the scope of the present work; we have therefore framed the current results as a benchmark for the information loss attributable to continuum fitting alone. revision: partial

Circularity Check

0 steps flagged

No circularity in the derivation: improvements measured directly from parallel mock analyses

full rationale

The paper generates idealized synthetic Lyman-alpha forest data and runs two parallel analyses on identical mocks: one with standard continuum fitting and one with the true continuum. The reported ~10% and ~15% reductions in AP and Omega_m uncertainties are computed as the direct ratio of posterior widths from these two pipelines. No fitted parameters from a data subset are renamed as predictions, no self-citations carry load-bearing uniqueness claims, and no ansatzes are smuggled in. The chain is therefore self-contained against the external benchmark of the mock generation and likelihood evaluation.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

The forecasts rest on the assumption that the synthetic mocks faithfully capture continuum-fitting distortions and large-scale mode content; no free parameters are fitted to real data and no new physical entities are introduced.

axioms (1)
  • domain assumption Idealized synthetic data accurately models the impact of continuum fitting on the 3D correlation function and the information content at large separations
    All quantitative improvement percentages are derived from these mocks; any mismatch with real observations would change the reported gains.

pith-pipeline@v0.9.0 · 6015 in / 1307 out tokens · 23428 ms · 2026-05-18T15:36:31.289837+00:00 · methodology

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Lean theorems connected to this paper

Citations machine-checked in the Pith Canon. Every link opens the source theorem in the public Lean library.

  • IndisputableMonolith/Cost/FunctionalEquation.lean washburn_uniqueness_aczel unclear
    ?
    unclear

    Relation between the paper passage and the cited Recognition theorem.

    The standard cosmological analysis with the Lyα forest relies on a continuum fitting procedure that suppresses information on large scales and distorts the three-dimensional correlation function on all scales... knowledge of the true continuum enables a ∼10% reduction in uncertainties on the Alcock-Paczyński (AP) parameter and the matter density, Ω_m.

  • IndisputableMonolith/Foundation/AlexanderDuality.lean alexander_duality_circle_linking unclear
    ?
    unclear

    Relation between the paper passage and the cited Recognition theorem.

    We use idealized synthetic data... extending the analysis up to separations of 240 h^{-1}Mpc along and across the line of sight.

What do these tags mean?
matches
The paper's claim is directly supported by a theorem in the formal canon.
supports
The theorem supports part of the paper's argument, but the paper may add assumptions or extra steps.
extends
The paper goes beyond the formal theorem; the theorem is a base layer rather than the whole result.
uses
The paper appears to rely on the theorem as machinery.
contradicts
The paper's claim conflicts with a theorem or certificate in the canon.
unclear
Pith found a possible connection, but the passage is too broad, indirect, or ambiguous to say the theorem truly supports the claim.

Reference graph

Works this paper leans on

85 extracted references · 85 canonical work pages · 43 internal anchors

  1. [1]

    G., Filippenko, A

    A.G. Riess, A.V. Filippenko, P. Challis, A. Clocchiatti, A. Diercks, P.M. Garnavich et al., Observational Evidence from Supernovae for an Accelerating Universe and a Cosmological Constant,AJ116(1998) 1009 [astro-ph/9805201]

    work page internal anchor Pith review Pith/arXiv arXiv 1998

  2. [2]

    Measurements of Omega and Lambda from 42 High-Redshift Supernovae

    S. Perlmutter, G. Aldering, G. Goldhaber, R.A. Knop, P. Nugent, P.G. Castro et al., Measurements ofΩandΛfrom 42 High-Redshift Supernovae,ApJ517(1999) 565 [astro-ph/9812133]

    work page internal anchor Pith review Pith/arXiv arXiv 1999

  3. [3]

    The 2dF Galaxy Redshift Survey: Power-spectrum analysis of the final dataset and cosmological implications

    S. Cole, W.J. Percival, J.A. Peacock, P. Norberg, C.M. Baugh, C.S. Frenk et al.,The 2dF Galaxy Redshift Survey: power-spectrum analysis of the final data set and cosmological implications,MNRAS362(2005) 505 [astro-ph/0501174]

    work page internal anchor Pith review Pith/arXiv arXiv 2005

  4. [4]

    Detection of the Baryon Acoustic Peak in the Large-Scale Correlation Function of SDSS Luminous Red Galaxies

    D.J. Eisenstein, I. Zehavi, D.W. Hogg, R. Scoccimarro, M.R. Blanton, R.C. Nichol et al., Detection of the Baryon Acoustic Peak in the Large-Scale Correlation Function of SDSS Luminous Red Galaxies,ApJ633(2005) 560 [astro-ph/0501171]

    work page internal anchor Pith review Pith/arXiv arXiv 2005

  5. [5]

    The Baryon Oscillation Spectroscopic Survey of SDSS-III

    K.S. Dawson, D.J. Schlegel, C.P. Ahn, S.F. Anderson, ´E. Aubourg, S. Bailey et al.,The Baryon Oscillation Spectroscopic Survey of SDSS-III,AJ145(2013) 10 [1208.0022]

    work page internal anchor Pith review Pith/arXiv arXiv 2013

  6. [6]

    SDSS-III: Massive Spectroscopic Surveys of the Distant Universe, the Milky Way Galaxy, and Extra-Solar Planetary Systems

    D.J. Eisenstein, D.H. Weinberg, E. Agol, H. Aihara, C. Allende Prieto, S.F. Anderson et al., SDSS-III: Massive Spectroscopic Surveys of the Distant Universe, the Milky Way, and Extra-Solar Planetary Systems,AJ142(2011) 72 [1101.1529]

    work page internal anchor Pith review Pith/arXiv arXiv 2011

  7. [7]

    Baryon Acoustic Oscillations in the Ly-\alpha\ forest of BOSS quasars

    N.G. Busca, T. Delubac, J. Rich, S. Bailey, A. Font-Ribera, D. Kirkby et al.,Baryon acoustic oscillations in the Lyαforest of BOSS quasars,A&A552(2013) A96 [1211.2616]. – 21 –

    work page internal anchor Pith review Pith/arXiv arXiv 2013

  8. [8]

    Measurement of Baryon Acoustic Oscillations in the Lyman-alpha Forest Fluctuations in BOSS Data Release 9

    A. Slosar, V. Irˇ siˇ c, D. Kirkby, S. Bailey, N.G. Busca, T. Delubac et al.,Measurement of baryon acoustic oscillations in the Lyman-αforest fluctuations in BOSS data release 9,JCAP2013 (2013) 026 [1301.3459]

    work page internal anchor Pith review Pith/arXiv arXiv 2013

  9. [9]

    Quasar-Lyman $\alpha$ Forest Cross-Correlation from BOSS DR11 : Baryon Acoustic Oscillations

    A. Font-Ribera, D. Kirkby, N. Busca, J. Miralda-Escud´ e, N.P. Ross, A. Slosar et al., Quasar-Lymanαforest cross-correlation from BOSS DR11: Baryon Acoustic Oscillations, JCAP2014(2014) 027 [1311.1767]

    work page internal anchor Pith review Pith/arXiv arXiv 2014

  10. [10]

    The SDSS-IV extended Baryon Oscillation Spectroscopic Survey: Overview and Early Data

    K.S. Dawson, J.-P. Kneib, W.J. Percival, S. Alam, F.D. Albareti, S.F. Anderson et al.,The SDSS-IV Extended Baryon Oscillation Spectroscopic Survey: Overview and Early Data,AJ 151(2016) 44 [1508.04473]

    work page internal anchor Pith review Pith/arXiv arXiv 2016

  11. [11]

    Sloan Digital Sky Survey IV: Mapping the Milky Way, Nearby Galaxies, and the Distant Universe

    M.R. Blanton, M.A. Bershady, B. Abolfathi, F.D. Albareti, C. Allende Prieto, A. Almeida et al.,Sloan Digital Sky Survey IV: Mapping the Milky Way, Nearby Galaxies, and the Distant Universe,AJ154(2017) 28 [1703.00052]

    work page internal anchor Pith review Pith/arXiv arXiv 2017

  12. [12]

    Ahumada, C

    R. Ahumada, C. Allende Prieto, A. Almeida, F. Anders, S.F. Anderson, B.H. Andrews et al., The 16th Data Release of the Sloan Digital Sky Surveys: First Release from the APOGEE-2 Southern Survey and Full Release of eBOSS Spectra,ApJs249(2020) 3 [1912.02905]

    work page arXiv 2020

  13. [13]

    du Mas desBourboux, J

    H. du Mas desBourboux, J. Rich, A. Font-Ribera, V.d.S. Agathe, J. Farr, T. Etourneau et al., The Completed SDSS-IV Extended Baryon Oscillation Spectroscopic Survey: Baryon Acoustic Oscillations with LyαForests,ApJ901(2020) 153

    work page 2020

  14. [14]

    The DESI Experiment Part I: Science,Targeting, and Survey Design

    DESI Collaboration, A.G. Adame, J. Aguilar, S. Ahlen, S. Alam, D.M. Alexander et al.,The DESI Experiment Part I: Science,Targeting, and Survey Design, Oct., 2016. 10.48550/arXiv.1611.00036

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.48550/arxiv.1611.00036 2016

  15. [15]

    The DESI Experiment Part II: Instrument Design

    DESI Collaboration, A. Aghamousa, J. Aguilar, S. Ahlen, S. Alam, L.E. Allen et al.,The DESI Experiment Part II: Instrument Design,arXiv e-prints(2016) arXiv:1611.00037 [1611.00037]

    work page internal anchor Pith review Pith/arXiv arXiv 2016

  16. [16]

    Miller, P

    T.N. Miller, P. Doel, G. Gutierrez, R. Besuner, D. Brooks, G. Gallo et al.,The Optical Corrector for the Dark Energy Spectroscopic Instrument,AJ168(2024) 95 [2306.06310]

    work page arXiv 2024

  17. [17]

    Poppett, L

    C. Poppett, L. Tyas, J. Aguilar, C. Bebek, D. Bramall, T. Claybaugh et al.,Overview of the Fiber System for the Dark Energy Spectroscopic Instrument,AJ168(2024) 245

    work page 2024

  18. [18]

    Adame, J

    DESI Collaboration, A.G. Adame, J. Aguilar, S. Ahlen, S. Alam, D.M. Alexander et al., Overview of the Instrumentation for the Dark Energy Spectroscopic Instrument,AJ164(2022) 207

    work page 2022

  19. [19]

    Data Release 1 of the Dark Energy Spectroscopic Instrument

    DESI Collaboration, M. Abdul-Karim, A.G. Adame, D. Aguado, J. Aguilar, S. Ahlen et al., Data Release 1 of the Dark Energy Spectroscopic Instrument,arXiv e-prints(2025) arXiv:2503.14745 [2503.14745]

    work page internal anchor Pith review Pith/arXiv arXiv 2025

  20. [20]

    Schlafly, D

    E.F. Schlafly, D. Kirkby, D.J. Schlegel, A.D. Myers, A. Raichoor, K. Dawson et al.,Survey Operations for the Dark Energy Spectroscopic Instrument,AJ166(2023) 259 [2306.06309]

    work page arXiv 2023

  21. [21]

    J. Guy, S. Bailey, A. Kremin, S. Alam, D.M. Alexander, C. Allende Prieto et al.,The Spectroscopic Data Processing Pipeline for the Dark Energy Spectroscopic Instrument,AJ165 (2023) 144 [2209.14482]

    work page arXiv 2023

  22. [22]

    Adame, J

    DESI Collaboration, A.G. Adame, J. Aguilar, S. Ahlen, S. Alam, D.M. Alexander et al., Validation of the Scientific Program for the Dark Energy Spectroscopic Instrument,AJ167 (2023) 62

    work page 2023

  23. [23]

    DESI 2024 VII: Cosmological Constraints from the Full-Shape Modeling of Clustering Measurements

    A.G. Adame, J. Aguilar, S. Ahlen, S. Alam, D.M. Alexander, C. Allende Prieto et al.,DESI 2024 VII: cosmological constraints from the full-shape modeling of clustering measurements, JCAP2025(2025) 028 [2411.12022]

    work page internal anchor Pith review Pith/arXiv arXiv 2024

  24. [24]

    DESI DR2 Results I: Baryon Acoustic Oscillations from the Lyman Alpha Forest

    DESI Collaboration, M. Abdul-Karim, J. Aguilar, S. Ahlen, C. Allende Prieto, O. Alves et al., DESI DR2 Results I: Baryon Acoustic Oscillations from the Lyman Alpha Forest,arXiv e-prints(2025) arXiv:2503.14739 [2503.14739]. – 22 –

    work page internal anchor Pith review Pith/arXiv arXiv 2025

  25. [25]

    DESI DR2 Results II: Measurements of Baryon Acoustic Oscillations and Cosmological Constraints

    DESI Collaboration, M. Abdul-Karim, J. Aguilar, S. Ahlen, S. Alam, L. Allen et al.,DESI DR2 Results II: Measurements of Baryon Acoustic Oscillations and Cosmological Constraints, arXiv e-prints(2025) arXiv:2503.14738 [2503.14738]

    work page internal anchor Pith review Pith/arXiv arXiv 2025

  26. [26]

    Alcock and B

    C. Alcock and B. Paczynski,An evolution free test for non-zero cosmological constant,Nature 281(1979) 358

    work page 1979

  27. [27]

    Cuceu, A

    A. Cuceu, A. Font-Ribera, B. Joachimi and S. Nadathur,Cosmology beyond BAO from the 3D distribution of the Lyman-αforest,MNRAS506(2021) 5439

    work page 2021

  28. [28]

    Cuceu, A

    A. Cuceu, A. Font-Ribera, S. Nadathur, B. Joachimi and P. Martini,Constraints on the Cosmic Expansion Rate at Redshift 2.3 from the Lyman-αForest,Phys. Rev. Lett.130(2023) 191003

    work page 2023

  29. [29]

    Cuceu, A

    A. Cuceu, A. Font-Ribera, P. Martini, B. Joachimi, S. Nadathur, J. Rich et al.,The Alcock-Paczy´ nski effect from Lyman-αforest correlations: analysis validation with synthetic data,MNRAS523(2023) 3773

    work page 2023

  30. [30]

    Gerardi, A

    F. Gerardi, A. Cuceu, A. Font-Ribera, B. Joachimi and P. Lemos,Direct cosmological inference from three-dimensional correlations of the Lymanαforest,MNRAS518(2023) 2567 [2209.11263]

    work page arXiv 2023

  31. [31]

    P. McDonald,Toward a Measurement of the Cosmological Geometry at z∼2: Predicting Lyα Forest Correlation in Three Dimensions and the Potential of Future Data Sets,ApJ585 (2003) 34 [astro-ph/0108064]

    work page internal anchor Pith review Pith/arXiv arXiv 2003

  32. [32]

    The Lyman-alpha forest in three dimensions: measurements of large scale flux correlations from BOSS 1st-year data

    A. Slosar, A. Font-Ribera, M.M. Pieri, J. Rich, J.-M. Le Goff, ´E. Aubourg et al.,The Lyman-α forest in three dimensions: measurements of large scale flux correlations from BOSS 1st-year data,JCAP2011(2011) 001 [1104.5244]

    work page internal anchor Pith review Pith/arXiv arXiv 2011

  33. [33]

    Bias, redshift space distortions and primordial nongaussianity of nonlinear transformations: application to Lyman alpha forest

    U. Seljak,Bias, redshift space distortions and primordial nongaussianity of nonlinear transformations: application to Ly-αforest,JCAP2012(2012) 004 [1201.0594]

    work page internal anchor Pith review Pith/arXiv arXiv 2012

  34. [34]

    Givans and C.M

    J.J. Givans and C.M. Hirata,Redshift-space streaming velocity effects on the Lyman-αforest baryon acoustic oscillation scale,Phys. Rev. D102(2020) 023515 [2002.12296]

    work page arXiv 2020

  35. [35]

    S.-F. Chen, Z. Vlah and M. White,The Lyαforest flux correlation function: a perturbation theory perspective,JCAP2021(2021) 053 [2103.13498]

    work page arXiv 2021

  36. [36]

    Measurement of BAO correlations at $z=2.3$ with SDSS DR12 \lya-Forests

    J.E. Bautista, N.G. Busca, J. Guy, J. Rich, M. Blomqvist, H. du Mas des Bourboux et al., Measurement of baryon acoustic oscillation correlations at z = 2.3 with SDSS DR12 Lyα-Forests,A&A603(2017) A12 [1702.00176]

    work page internal anchor Pith review Pith/arXiv arXiv 2017

  37. [37]

    Busca, J

    N. Busca, J. Rich, J. Bautista, A. Cuceu, A. Font-Ribera, J. Guy et al.,The effects of continuum fitting on Lyman-αforest correlations,arXiv e-prints(2025) arXiv:2506.15262 [2506.15262]

    work page arXiv 2025

  38. [38]

    Casas, H.K

    L. Casas, H.K. Herrera-Alcantar, J. Chaves-Montero, A. Cuceu, A. Font-Ribera, M. Lokken et al.,Validation of the DESI DR2 LyαBAO analysis using synthetic datasets,arXiv e-prints (2025) arXiv:2503.14741 [2503.14741]

    work page arXiv 2025

  39. [39]

    Suzuki, D

    N. Suzuki, D. Tytler, D. Kirkman, J.M. O’Meara and D. Lubin,Predicting QSO Continua in the LyαForest,ApJ618(2005) 592

    work page 2005

  40. [40]

    Pˆ aris, P

    I. Pˆ aris, P. Petitjean, E. Rollinde, E. Aubourg, N. Busca, R. Charlassier et al.,A principal component analysis of quasar UV spectra at z∼3,A&A530(2011) A50

    work page 2011

  41. [41]

    K.-G. Lee, N. Suzuki and D.N. Spergel,Mean-flux Regulated PCA Continuum Fitting of SDSS Lyman-alpha Forest Spectra,AJ143(2012) 51

    work page 2012

  42. [42]

    Zhu,Nonnegative Matrix Factorization (NMF) with Heteroscedastic Uncertainties and Missing data,arXiv e-prints(2016)

    G. Zhu,Nonnegative Matrix Factorization (NMF) with Heteroscedastic Uncertainties and Missing data,arXiv e-prints(2016)

    work page 2016

  43. [43]

    Liu and R

    B. Liu and R. Bordoloi,A deep learning approach to quasar continuum prediction,MNRAS 502(2021) 3510. – 23 –

    work page 2021

  44. [44]

    Sun, Y.-S

    Z. Sun, Y.-S. Ting and Z. Cai,Quasar Factor Analysis—An Unsupervised and Probabilistic Quasar Continuum Prediction Algorithm with Latent Factor Analysis,ApJ Supplement Series 269(2023) 4

    work page 2023

  45. [45]

    Turner, P

    W. Turner, P. Martini, N.G. Kara¸ caylı, J. Aguilar, S. Ahlen, D. Brooks et al.,New Measurements of the LyαForest Continuum and Effective Optical Depth with LyCAN and DESI Y1 Data,ApJ976(2024) 143 [2405.06743]

    work page arXiv 2024

  46. [46]

    Hahn, S.G.A

    C. Hahn, S.G.A. Gontcho, P. Melchior, H.K. Herrera-Alcantar, J.N. Aguilar, S. Ahlen et al., Reconstructing Quasar Spectra and Measuring the LyαForest withSpenderQ,arXiv e-prints (2025) arXiv:2506.18986 [2506.18986]

    work page arXiv 2025

  47. [47]

    Pistis, M

    F. Pistis, M. Fumagalli, M. Fossati, T. Berg, E.S. Mangola, R. Dutta et al.,Automated quasar continuum estimation using neural networks: A comparative study of deep-learning architectures,A&A698(2025) A292 [2505.10976]

    work page arXiv 2025

  48. [48]

    DESI 2024 IV: Baryon Acoustic Oscillations from the Lyman Alpha Forest

    A.G. Adame, J. Aguilar, S. Ahlen, S. Alam, D.M. Alexander, M. Alvarez et al.,DESI 2024 IV: Baryon Acoustic Oscillations from the Lyman alpha forest,JCAP2025(2025) 124 [2404.03001]

    work page internal anchor Pith review arXiv 2024

  49. [49]

    Planck 2018 results. VI. Cosmological parameters

    Planck Collaboration, N. Aghanim, Y. Akrami, M. Ashdown, J. Aumont, C. Baccigalupi et al., Planck 2018 results. VI. Cosmological parameters,A&A641(2020) A6 [1807.06209]

    work page internal anchor Pith review Pith/arXiv arXiv 2018

  50. [50]

    J. Farr, A. Font-Ribera, H.d.M.d. Bourboux, A. Mu˜ noz-Guti´ errez, F.J.S. Lopez, A. Pontzen et al.,LyaCoLoRe: Synthetic Datasets for Current and Future Lyman-αForest BAO Surveys, JCAP2020(2020) 068

    work page 2020

  51. [51]

    Herrera-Alcantar, A

    H.K. Herrera-Alcantar, A. Mu˜ noz-Guti´ errez, T. Tan, A.X. Gonz´ alez-Morales, A. Font-Ribera, J. Guy et al.,Synthetic spectra for Lyman-αforest analysis in the Dark Energy Spectroscopic Instrument,arXiv e-prints(2023)

    work page 2023

  52. [52]

    Ram´ ırez-P´ erez, I

    C. Ram´ ırez-P´ erez, I. P´ erez-R` afols, A. Font-Ribera, M.A. Karim, E. Armengaud, J. Bautista et al.,The Lyman-αforest catalogue from the Dark Energy Spectroscopic Instrument Early Data Release,MNRAS528(2024) 6666 [2306.06312]

    work page arXiv 2024

  53. [53]

    Davies, J.F

    F.B. Davies, J.F. Hennawi, E. Ba˜ nados, R.A. Simcoe, R. Decarli, X. Fan et al.,Predicting Quasar Continua near Lyαwith Principal Component Analysis,ApJ864(2018) 143

    work page 2018

  54. [54]

    doi:10.1086/427976 , eprint =

    K.M. G´ orski, E. Hivon, A.J. Banday, B.D. Wandelt, F.K. Hansen, M. Reinecke et al., HEALPix: A Framework for High-Resolution Discretization and Fast Analysis of Data Distributed on the Sphere,ApJ622(2005) 759 [astro-ph/0409513]

    work page internal anchor Pith review Pith/arXiv arXiv 2005

  55. [55]

    Cuceu, H

    A. Cuceu, H.K. Herrera-Alcantar, C. Gordon, P. Martini, J. Guy, A. Font-Ribera et al., Validation of the DESI 2024 Lyαforest BAO analysis using synthetic datasets,JCAP2025 (2025) 148 [2404.03004]

    work page arXiv 2024

  56. [56]

    Why your model parameter confidences might be too optimistic -- unbiased estimation of the inverse covariance matrix

    J. Hartlap, P. Simon and P. Schneider,Why your model parameter confidences might be too optimistic. Unbiased estimation of the inverse covariance matrix,A&A464(2007) 399 [astro-ph/0608064]

    work page internal anchor Pith review Pith/arXiv arXiv 2007

  57. [57]

    The Clustering of Galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: Including covariance matrix errors

    W.J. Percival, A.J. Ross, A.G. S´ anchez, L. Samushia, A. Burden, R. Crittenden et al.,The clustering of Galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: including covariance matrix errors,MNRAS439(2014) 2531 [1312.4841]

    work page internal anchor Pith review Pith/arXiv arXiv 2014

  58. [58]

    de Sainte Agathe, C

    V. de Sainte Agathe, C. Balland, H. du Mas des Bourboux, N.G. Busca, M. Blomqvist, J. Guy et al.,Baryon acoustic oscillations at z = 2.34 from the correlations of Lyαabsorption in eBOSS DR14,A&A629(2019) A85 [1904.03400]

    work page arXiv 2019

  59. [59]

    Fitting Methods for Baryon Acoustic Oscillations in the Lyman-{\alpha} Forest Fluctuations in BOSS Data Release 9

    D. Kirkby, D. Margala, A. Slosar, S. Bailey, N.G. Busca, T. Delubac et al.,Fitting methods for baryon acoustic oscillations in the Lyman-αforest fluctuations in BOSS data release 9,JCAP 2013(2013) 024 [1301.3456]. – 24 –

    work page internal anchor Pith review Pith/arXiv arXiv 2013

  60. [60]

    The Non-Linear Power Spectrum of the Lyman Alpha Forest

    A. Arinyo-i-Prats, J. Miralda-Escud´ e, M. Viel and R. Cen,The non-linear power spectrum of the Lyman alpha forest,JCAP2015(2015) 017 [1506.04519]

    work page internal anchor Pith review Pith/arXiv arXiv 2015

  61. [61]

    Cuceu, A

    A. Cuceu, A. Font-Ribera and B. Joachimi,Bayesian methods for fitting Baryon Acoustic Oscillations in the Lyman-αforest,JCAP2020(2020) 035 [2004.02761]

    work page arXiv 2020

  62. [62]

    Uncorrelated Modes of the Nonlinear Power Spectrum

    A.J.S. Hamilton,Uncorrelated modes of the non-linear power spectrum,MNRAS312(2000) 257 [astro-ph/9905191]

    work page internal anchor Pith review Pith/arXiv arXiv 2000

  63. [63]

    Cobaya: Bayesian analysis in cosmology

    J. Torrado and A. Lewis, “Cobaya: Bayesian analysis in cosmology.” Astrophysics Source Code Library, record ascl:1910.019, Oct., 2019

    work page 1910

  64. [64]

    Cobaya: Code for Bayesian Analysis of hierarchical physical models

    J. Torrado and A. Lewis,Cobaya: code for Bayesian analysis of hierarchical physical models, JCAP2021(2021) 057 [2005.05290]

    work page internal anchor Pith review Pith/arXiv arXiv 2021

  65. [65]

    Efficient Computation of CMB anisotropies in closed FRW models

    A. Lewis, A. Challinor and A. Lasenby,Efficient Computation of Cosmic Microwave Background Anisotropies in Closed Friedmann-Robertson-Walker Models,ApJ538(2000) 473 [astro-ph/9911177]

    work page internal anchor Pith review Pith/arXiv arXiv 2000

  66. [66]

    Cosmological parameters from CMB and other data: a Monte-Carlo approach

    A. Lewis and S. Bridle,Cosmological parameters from CMB and other data: A Monte Carlo approach,Phys. Rev. D66(2002) 103511 [astro-ph/0205436]

    work page internal anchor Pith review Pith/arXiv arXiv 2002

  67. [67]

    Taking Bigger Metropolis Steps by Dragging Fast Variables

    R. Neal,Taking Bigger Metropolis Steps by Dragging Fast Variables,arXiv e-prints(2005) [math/0502099]

    work page internal anchor Pith review Pith/arXiv arXiv 2005

  68. [68]

    Efficient sampling of fast and slow cosmological parameters

    A. Lewis,Efficient sampling of fast and slow cosmological parameters,Phys. Rev. D87(2013) 103529 [1304.4473]

    work page internal anchor Pith review Pith/arXiv arXiv 2013

  69. [69]

    Schlegel, S

    D.J. Schlegel, S. Ferraro, G. Aldering, C. Baltay, S. BenZvi, R. Besuner et al.,A Spectroscopic Road Map for Cosmic Frontier: DESI, DESI-II, Stage-5,arXiv e-prints(2022) arXiv:2209.03585 [2209.03585]

    work page arXiv 2022

  70. [70]

    A., Monachesi, A., et al

    Euclid Collaboration, Y. Mellier, Abdurro’uf, J.A. Acevedo Barroso, A. Ach´ ucarro, J. Adamek et al.,Euclid: I. Overview of the Euclid mission,A&A697(2025) A1 [2405.13491]

    work page arXiv 2025

  71. [71]

    Y. Wang, Z. Zhai, A. Alavi, E. Massara, A. Pisani, A. Benson et al.,The High Latitude Spectroscopic Survey on the Nancy Grace Roman Space Telescope,ApJ928(2022) 1 [2110.01829]

    work page arXiv 2022

  72. [72]

    Besuner, A

    R. Besuner, A. Dey, A. Drlica-Wagner, H. Ebina, G. Fernandez Moroni, S. Ferraro et al.,The Spectroscopic Stage-5 Experiment,arXiv e-prints(2025) arXiv:2503.07923 [2503.07923]

    work page arXiv 2025

  73. [73]

    Dark Energy Survey: implications for cosmological expansion models from the final DES Baryon Acoustic Oscillation and Supernova data,

    DES Collaboration, T.M.C. Abbott, M. Acevedo, M. Adamow, M. Aguena, A. Alarcon et al., Dark Energy Survey: implications for cosmological expansion models from the final DES Baryon Acoustic Oscillation and Supernova data,arXiv e-prints(2025) arXiv:2503.06712 [2503.06712]

    work page arXiv 2025

  74. [74]

    de Belsunce, O.H.E

    R. de Belsunce, O.H.E. Philcox, V. Irsic, P. McDonald, J. Guy and N. Palanque-Delabrouille, The 3D Lyman-αForest Power Spectrum from eBOSS DR16,arXiv e-prints(2024) arXiv:2403.08241 [2403.08241]

    work page arXiv 2024

  75. [75]

    Kara¸ caylı and C.M

    N.G. Kara¸ caylı and C.M. Hirata,Light in the dark forest – I. An efficient optimal estimator for 3D Lyman-alpha forest power spectrum,arXiv e-prints(2025) arXiv:2503.15619 [2503.15619]

    work page arXiv 2025

  76. [76]

    Ionizing radiation fluctuations and large-scale structure in the Lyman-alpha forest

    R.A.C. Croft,Ionizing Radiation Fluctuations and Large-Scale Structure in the LyαForest, ApJ610(2004) 642 [astro-ph/0310890]

    work page internal anchor Pith review Pith/arXiv arXiv 2004

  77. [77]

    Scale-dependent bias in the BAO-scale intergalactic neutral hydrogen

    A. Pontzen,Scale-dependent bias in the baryonic-acoustic-oscillation-scale intergalactic neutral hydrogen,Phys. Rev. D89(2014) 083010 [1402.0506]

    work page internal anchor Pith review Pith/arXiv arXiv 2014

  78. [78]

    On the effect of the ionising background on the Ly{\alpha} forest autocorrelation function

    S. Gontcho A Gontcho, J. Miralda-Escud´ e and N.G. Busca,On the effect of the ionizing background on the Lyαforest autocorrelation function,MNRAS442(2014) 187 [1404.7425]

    work page internal anchor Pith review Pith/arXiv arXiv 2014

  79. [79]

    Constraints on ionising photon production from the large-scale Lyman-alpha forest

    A. Pontzen, S. Bird, H. Peiris and L. Verde,Constraints on Ionizing Photon Production from the Large-scale LyαForest,ApJL792(2014) L34 [1407.6367]. – 25 –

    work page internal anchor Pith review Pith/arXiv arXiv 2014

  80. [80]

    The History and Morphology of Helium Reionization

    S.R. Furlanetto and S.P. Oh,The History and Morphology of Helium Reionization,ApJ681 (2008) 1 [0711.1542]

    work page internal anchor Pith review Pith/arXiv arXiv 2008

Showing first 80 references.