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Alcock-Paczynski Blinding Scheme for the Ly-$\alpha$ Forest Analysis

T0 review · 0 major / 6 minor · reviewed 2026-07-10 · grok-4.5

Pith's one-line read A wavelength-space remapping of Lyman-alpha forests hides the true expansion history while still recovering the expected BAO peak shifts.

desk verdict Solid, usable catalog-level AP blinding for Lyα forests that recovers the expected BAO shifts on DESI DR1; the pure-Lyα map is a real but contained limitation. read the letter →

arxiv 2607.07875 v1 pith:MALVAZE6 submitted 2026-07-08 astro-ph.CO

classification astro-ph.CO
keywords Lyman-alphaforestblindingAlcock-PaczynskiBAODESIquasarabsorptioncatalog-leveltransformation
verification ladder T0 review T1 audit T2 compute T3 formal

The pith

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

The reading

This paper presents and validates a catalog-level blinding method for Lyman-alpha forest cosmology. After the quasar continuum is fitted and the fluctuation field extracted, each forest is shifted in wavelength so that the data behave as if they came from a different matter density (or Hubble constant). Quasar redshifts are shifted consistently. The authors show that the three-dimensional auto- and cross-correlations move their BAO peaks exactly where the new cosmology predicts, for roughly five-percent changes in matter content, while the shapes of the posteriors stay essentially unchanged. The method works on idealized mocks, realistic year-one simulations, and actual DESI DR1 data. Because the same geometric map can be applied to other tracers, the scheme supports joint blinded analyses across probes. The only clear leakage appears in the one-dimensional metal peaks, which can be hidden by a secondary step.

What carries the argument

The Alcock-Paczynski blinding map: a smooth wavelength shift g(λ) derived from matching comoving distance R(z|Ω) between reference and blinded cosmologies, applied after delta extraction under the working assumption that every absorption feature is pure Lyman-alpha.

What would settle it

On a mock or data set with known metal lines, measure whether the BAO peak in the three-dimensional correlations moves by the amount predicted by the blinded cosmology while the metal peaks in the one-dimensional correlation remain unshifted or only partially shifted.

Watch

Extended reading notes

Core claim

A post-extraction geometric remapping of Lyman-alpha forests and quasar redshifts, built from matching comoving distances between a reference and a blinded cosmology, shifts the BAO peak in both Lyα×Lyα and Lyα×QSO three-dimensional correlations to the values predicted by the blinded expansion history (approximately five-percent changes in Ωm) without appreciably altering posterior shapes, on mocks and on DESI DR1 data.

Load-bearing premise

Every absorption pixel can be treated as pure Lyman-alpha when the wavelength map is built; metals and Lyman-beta cannot be separated and therefore receive the wrong shift.

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Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, and a circularity audit.

Referee Report

0 major / 6 minor

Summary. The paper presents and validates a catalog-level Alcock–Paczyński (AP) blinding scheme for Lyman-α forest analyses. After continuum fitting and delta-field extraction, each forest is remapped in wavelength space (Eq. 2.7) under the pure-Lyα assumption, and QSO redshifts are shifted consistently (Eq. 2.5), so that the inferred expansion history is that of a blinded cosmology (typically a ~5% change in Ωm). The scheme is tested on a progressive suite: noiseless Lyα-only mocks (catalog A), low-noise mocks with Lyβ and metals (catalog B), a more realistic DESI Y1-like mock (catalog C), and DESI DR1 data, for both Lyα×Lyα auto- and Lyα×QSO cross-correlations. Recovered α∥ and α⊥ shifts match CLASS predictions within 1σ (Tables 1–2, Figs. 8–13), posterior shapes are essentially preserved, and distortion-matrix residuals stay below ~0.6% (Fig. 6). The only clear leakage is a shift of metal peaks in the 1D correlation function (Fig. 14), which the authors flag and note can be secondarily blinded.

Significance. Catalog-level AP blinding is already standard for DESI galaxy clustering; extending it to the continuous Lyα forest is non-trivial because continuum, metals, and Lyβ are entangled. The progressive validation (idealized mocks → metal-contaminated mocks → real DESI DR1) and the demonstration that both auto- and cross-correlations recover the expected BAO shifts without material degradation of posterior shape make a concrete, usable contribution. The method is modular, cheap (~5% wall-clock overhead), and designed for multi-tracer consistency under a common AP map—precisely the setting in which DESI and future surveys will want to combine probes. The explicit documentation of the pure-Lyα approximation and of the 1D metal leakage is a strength rather than a weakness.

minor comments (6)
  1. §2.1 step 2(c) and the caption of Fig. 3: the optional forest-range correction is described but never applied; a short sentence stating that all reported results omit it (and that the effect is sub-dominant for |ε|≲0.05) would remove ambiguity.
  2. Fig. 5 caption and surrounding text: the green-line variant (blinding before the last weight iteration) is correctly discarded, but the figure still shows it; either move it to an appendix or add an explicit “not used” label so readers do not misread the main result.
  3. Table 1: the H0-blinding row (εH0=−0.026) is useful for consistency, but the text never states how the numerical value was chosen to match the ε=−0.05 Ωm case; one sentence would help.
  4. §3.5 / Fig. 14: the 1D metal-peak shift is acknowledged, yet no quantitative estimate of how large a secondary blinding of the 1D ξ would need to be is given. A brief remark would strengthen the mitigation claim.
  5. Typographical: “sinthetic” → “synthetic” (p. 2 and §3.1); “accross” → “across” (§3.3); “zeff” should be consistently z_eff or z̄.
  6. Appendix A: the PICCA workflow figure (Fig. 15) is helpful, but the text still refers to “PICCA-fitter” and “VEGA” without a clear statement of which results use which fitter; a one-line clarification would avoid confusion when comparing Figs. 8–10 with Figs. 12–13.

Circularity Check

0 steps flagged · score 0.0 of 10

No significant circularity: blinding map is an input transformation; recovered BAO shifts are compared to independent CLASS predictions, not quantities fitted from the same data.

full rationale

The paper constructs an explicit wavelength/redshift remapping (Eqs. 2.1, 2.5, 2.7) from two chosen cosmologies (Ωref, Ωbld with chosen ϵ), applies it after delta extraction, then measures α∥, α⊥ with a fixed fiducial model and compares the normalized ratios qi to the values expected from the input blinded cosmology via CLASS (or analytic DH/DM). Table 1 and Figs. 8–13 show this comparison; the measured shifts are not forced by construction from any free parameter fitted to the same correlations. The pure-Lyα wavelength assumption is an approximation whose limitations are tested (Catalog B, DR1, 1D metals in Fig. 14), not a definitional identity. Self-citation of the galaxy AP scheme [6] supplies the starting idea but is not load-bearing: the Lyα adaptation and all quantitative claims are independently validated on mocks and DESI DR1. No equation reduces a claimed prediction to a fitted input, uniqueness theorem, or renamed empirical pattern. The derivation chain is therefore self-contained against external benchmarks.

Assumptions & free parameters 1 free parameters · 3 assumptions · 0 invented entities

The central claim rests on standard flat-ΛCDM distance-redshift relations, the dominance of Lyman-alpha absorption for the purpose of the map, and the practical choice of a few-percent shift parameter. No new physical entities are postulated; free parameters are limited to the blinding amplitude itself.

free parameters (1)
  • epsilon (blinding amplitude) = ~0.05 (or -0.05 / 0.1)
    Fractional shift in Omega_m (or equivalent H0 shift) that defines the target blinded cosmology; chosen by hand at the ~5% level for the validation tests.
assumptions (3)
  • domain assumption Comoving distance R(z) is a smooth monotonic function of redshift under flat LambdaCDM, allowing a unique invertible map between two cosmologies.
    Used to construct the redshift and wavelength maps (Eqs. 2.1, 2.5, 2.7).
  • ad hoc to paper After continuum fitting, every absorption feature can be treated as pure Lyman-alpha for the purpose of the wavelength remapping.
    Explicitly stated as necessary because metal and Lyman-beta contributions cannot be separated; the assumption is the source of the residual 1D metal leakage.
  • domain assumption The baseline cosmology used for distance conversion in the analysis pipeline remains fixed and is not itself blinded.
    Standard practice that produces the desired AP distortion once the catalog has been remapped.

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Cite this review

Pith. "Pith review of Alcock-Paczynski Blinding Scheme for the Ly-$\alpha$ Forest Analysis." pith.science (2026). https://pith.science/paper/MALVAZE6

@misc{pith2026260707875,
  author       = {Pith},
  title        = {Pith review of: Alcock-Paczynski Blinding Scheme for the Ly-$\alpha$ Forest Analysis},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/MALVAZE6}},
  note         = {Machine review of arXiv:2607.07875}
}
abstract

We present and validate a blinding method for the Lyman-$\alpha$ (Ly$\alpha$) forest analysis based on a modification of the Alcock-Paczynski test. In order to hide the background expansion history, the method employs a geometrical shift of each quasar (QSO) forest in wavelength space, once the quasar continuum has been fitted and the fluctuation field is extracted. The redshift positions for the QSO sample are also changed in a consistent manner. We show that the method remains effective when applied to real data, where contamination from metals and Lyman-$\beta$ is intrinsically mixed with the Lyman-$\alpha$ forest. This limitation is primarily visible in the 1D correlation function, where other blinding strategies can mitigate the effect. To assess its effectiveness, the prescription is tested against a series of datasets of increasing complexity: from idealized low-noise mocks, to realistic DESI year one synthetic datasets, and finally to data from DESI first data release (DR1), using both the auto (Ly$\alpha\times$Ly$\alpha$) and cross (Ly$\alpha\times$ QSO) correlations. We find that the method robustly shifts the BAO peak position from the 3D correlation functions to the expected value for cosmology changes of around 5\% in the matter content, without altering the shape of the posteriors in the model parameters. In conclusion, this catalog-level blinding strategy is a viable method for cosmological inference with the Lyman-$\alpha$ forest, particularly if a cross-analysis with other tracers using the same blinding strategy is pursued.

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Works this paper leans on

56 extracted references · 56 canonical work pages

  1. [1]

    KiDS-1000 Cosmology: Multi-probe weak gravitational lensing and spectroscopic galaxy clustering constraints

    C. Heymans et al.,KiDS-1000 cosmology: Multi-probe weak gravitational lensing and spectroscopic galaxy clustering constraints,Astron. Astrophys.646(2021) A140, [2007.15632]

  2. [2]

    J. Muir, G. M. Bernstein, D. Huterer, F. Elsner, E. Krause, A. Roodman et al.,Blinding multiprobe cosmological experiments,Mon. Not. Roy. Astron. Soc.494(2020) 4454–4470

  3. [3]

    Brieden, H

    S. Brieden, H. Gil-Marín, L. Verde and J. L. Bernal,Blind observers of the sky,J. Cosmology Astropart. Phys.2020(2020) 052

  4. [4]

    Andrade, J

    U. Andrade, J. Mena-Fernandez, H. Awan et al.,Validating the galaxy and quasar catalog-level blinding scheme for the DESI 2024 analysis,J. Cosmology Astropart. Phys.2025(2025) 128, [2404.07282]

  5. [5]

    Validation of the DESI DR2 Measurements of Baryon Acoustic Oscillations from Galaxies and Quasars

    U. Andrade, E. Paillas, J. Mena-Fernandez, Q. Li et al.,Validation of the DESI DR2 measurements of baryon acoustic oscillations from galaxies and quasars,2503.14742. [9]DESIcollaboration, B. Abareshi, J. Aguilar, S. Ahlen, S. Alam, D. M. Alexander, R. Alfarsy et al.,Overview of the instrumentation for the Dark Energy Spectroscopic Instrument,Astron. J.167...

  6. [6]

    The DESI Experiment Part II: Instrument Design

    DESI Collaboration, A. Aghamousa, J. Aguilar et al.,The DESI experiment part II: Instrument design,1611.00037

  7. [7]

    Data Release 1 of the Dark Energy Spectroscopic Instrument

    DESI Collaboration et al.,DESI 2024 I: Data release 1 of the Dark Energy Spectroscopic Instrument,Astron. J.(2025) , [2503.14745]. – 26 –

  8. [8]

    M. Levi, C. Bebek, T. Beers, R. Blum, R. Cahn, D. Eisenstein et al.,The DESI experiment, a whitepaper for Snowmass 2013,1308.0847

Show all 56 references
  1. [9]

    T. N. Miller, P. Doel, G. Gutierrez, R. Besuner et al.,The optical corrector for the Dark Energy Spectroscopic Instrument,Astron. J.(2024) , [2306.06310]

  2. [10]

    Poppett, L

    C. Poppett, L. Tyas, J. Aguilar, C. Bebek et al.,Overview of the fiber system for the Dark Energy Spectroscopic Instrument,Astron. J.168(2024)

  3. [11]

    J. H. Silber et al.,The robotic multi-object focal plane system of the Dark Energy Spectroscopic Instrument (DESI),Astron. J.165(2023) 9, [2205.09014]

  4. [12]

    E. F. Schlafly, D. Kirkby, D. J. Schlegel, A. Myers et al.,Survey operations for the Dark Energy Spectroscopic Instrument,Astron. J.166(2023) 259, [2306.06309]

  5. [14]

    A. D. Myers, J. Moustakas, S. Bailey et al.,The target-selection pipeline for the Dark Energy Spectroscopic Instrument,Astron. J.165(2023) 50, [2208.08518]

  6. [15]

    H. Zou, X. Zhou, X. Fan, T. Zhang, Z. Zhou, J. Nie et al.,Project overview of the Beijing–Arizona Sky Survey,Publ. Astron. Soc. Pac.129(2017) 064101, [1702.03653]

  7. [16]

    A. Dey, D. J. Schlegel, D. Lang, R. Blum, K. Burleigh, X. Fan et al.,Overview of the DESI legacy imaging surveys,Astron. J.157(2019) 168, [1804.08657]

  8. [17]

    E. F. Schlafly, D. Schlegel, S. BenZvi et al.,Measuring fiber positioning accuracy and throughput with fiber dithering for the Dark Energy Spectroscopic Instrument,Astron. J.167(2024) 112

  9. [18]

    J. Guy, S. Bailey, A. Kremin, S. Alam et al.,The spectroscopic data processing pipeline for the Dark Energy Spectroscopic Instrument,Astron. J.165(2023) 144

  10. [19]

    S. J. Bailey, J. Guy, A. Anand, J. Moustakas et al.,Archetype-based redshift estimation for the Dark Energy Spectroscopic Instrument survey,2405.19288. [25]DESIcollaboration, A. G. Adame et al.,Validation of the scientific program for the Dark Energy Spectroscopic Instrument,A...

  11. [20]

    T.-W. Lan, R. Tojeiro, E. Armengaud, J. X. Prochaska, T. M. Davis, D. M. Alexander et al., The DESI survey validation: Results from visual inspection of bright galaxies, luminous red galaxies, and emission line galaxies,Astrophys. J.943(2023) 68, [2208.08516]

  12. [21]

    D. M. Alexander, T. M. Davis, E. Chaussidon, V. A. Fawcett, A. X. Gonzalez-Morales, T.-W. Lan et al.,The DESI survey validation: Results from visual inspection of the quasar survey spectra,Astron. J.165(2023) 124, [2208.08517]

  13. [22]

    Allende Prieto, A

    C. Allende Prieto, A. P. Cooper, A. Dey, B. T. Gänsicke, S. E. Koposov, T. Li et al., Preliminary target selection for the DESI Milky Way Survey (MWS),Res. Notes Am. Astron. Soc.4(2020) 188, [2012.11284]

  14. [23]

    A. P. Cooper, S. E. Koposov, C. Allende Prieto, C. J. Manser, N. Kizhuprakkat, A. D. Myers et al.,Overview of the DESI Milky Way Survey,Astrophys. J.947(2023) 37, [2208.08514]

  15. [24]

    Ruiz-Macias, P

    O. Ruiz-Macias, P. Zarrouk, S. Cole, P. Norberg, C. Baugh, D. Brooks et al.,Preliminary target selection for the DESI Bright Galaxy Survey (BGS),Res. Notes Am. Astron. Soc.4 (2020) 187, [2010.11283]

  16. [25]

    C. Hahn, M. J. Wilson, O. Ruiz-Macias, S. Cole, D. H. Weinberg, J. Moustakas et al.,DESI bright galaxy survey: Final target selection, design, and validation,Astron. J.165(2023) 253, [2208.08512]

  17. [26]

    R. Zhou, J. A. Newman, K. S. Dawson, D. J. Eisenstein, D. D. Brooks, A. Dey et al., Preliminary target selection for the DESI Luminous Red Galaxy (LRG) sample,Res. Notes Am. Astron. Soc.4(2020) 181, [2010.11282]. – 27 –

  18. [27]

    R. Zhou, B. Dey, J. A. Newman, D. J. Eisenstein, K. Dawson, S. Bailey et al.,Target selection and validation of DESI luminous red galaxies,Astron. J.165(2023) 58, [2208.08515]

  19. [28]

    Raichoor, D

    A. Raichoor, D. J. Eisenstein, T. Karim, J. A. Newman, J. Moustakas, D. D. Brooks et al., Preliminary target selection for the DESI Emission Line Galaxy (ELG) sample,Res. Notes Am. Astron. Soc.4(2020) 181, [2010.11281]

  20. [29]

    Raichoor, J

    A. Raichoor, J. Moustakas, J. A. Newman, T. Karim, S. Ahlen, S. Alam et al.,Target selection and validation of DESI emission line galaxies,Astron. J.165(2023) 126, [2208.08513]

  21. [30]

    Yèche, N

    C. Yèche, N. Palanque-Delabrouille, C.-A. Claveau, D. D. Brooks, E. Chaussidon, T. M. Davis et al.,Preliminary target selection for the DESI quasar (QSO) sample,Res. Notes Am. Astron. Soc.4(2020) 179

  22. [31]

    Chaussidon, C

    E. Chaussidon, C. Yèche, N. Palanque-Delabrouille, D. M. Alexander, J. Yang, S. Ahlen et al., Target selection and validation of DESI quasars,Astrophys. J.944(2023) 107, [2208.08511]

  23. [32]

    Cosmology Astropart

    DESI Collaboration et al.,DESI 2024 IV: Baryon acoustic oscillations from the Lyman-α forest,J. Cosmology Astropart. Phys.2025(2025) 124, [2404.03001]

  24. [33]

    du Mas des Bourboux, J

    H. du Mas des Bourboux, J. Rich, A. Font-Ribera, V. de Sainte Agathe, J. Farr, T. Etourneau et al.,The completed SDSS-IV extended baryon oscillation spectroscopic survey: Baryon acoustic oscillations with Lyαforests,Astrophys. J.901(2020) 153

  25. [34]

    Cuceu, A

    A. Cuceu, A. Font-Ribera, B. Joachimi and S. Nadathur,Cosmology beyond BAO from the 3d distribution of the Lyman-αforest,Mon. Not. Roy. Astron. Soc.506(2021) 5439–5450, [2103.14075]

  26. [35]

    Gerardi, A

    F. Gerardi, A. Cuceu, A. Font-Ribera, B. Joachimi and P. Lemos,Direct cosmological inference from three-dimensional correlations of the Lyman-αforest,2209.11263

  27. [36]

    Ramírez-Pérez, I

    C. Ramírez-Pérez, I. Pérez-Ràfols, A. Font-Ribera, E. F. Schlafly et al.,The Lyman-αforest catalog from the Dark Energy Spectroscopic Instrument early data release,J. Cosmology Astropart. Phys.2024(2024) 047, [2306.06312]

  28. [37]

    Cosmology Astropart

    DESI Collaboration et al.,DESI 2024 III: Baryon acoustic oscillations from galaxies and quasars,J. Cosmology Astropart. Phys.2025(2025) 012, [2404.03000]

  29. [38]

    Cosmology Astropart

    DESI Collaboration et al.,DESI 2024 VI: Cosmological constraints from the measurements of baryon acoustic oscillations,J. Cosmology Astropart. Phys.2025(2025) 021, [2404.03002]

  30. [39]

    Novell-Masot, H

    S. Novell-Masot, H. Gil-Marín, L. Verde, J. Aguilar, S. Ahlen, S. Brieden et al.,Catalog-level blinding on the bispectrum for DESI-like galaxy surveys,J. Cosmology Astropart. Phys.10 (2024) 089, [2407.12931]

  31. [40]

    K. A. Eriksen, A. R. Marble, C. D. Impey, L. Bai and C. E. Petry,The Alcock–Paczyński test for the Lyαforest: First results from Magellan and the MMT, inObserving Dark Energy, vol. 339 ofASP Conference Series, p. 172, 2005

  32. [41]

    Alcock and B

    C. Alcock and B. Paczynski,An evolution free test for non-zero cosmological constant,Nature 281(1979) 358–359

  33. [42]

    R. A. C. Croft, D. H. Weinberg, M. Pettini, L. Hernquist and N. Katz,The power spectrum of mass fluctuations measured from the Lyαforest at redshiftz= 2.5,Astrophys. J.520(1999) 1–23

  34. [43]

    Palanque-Delabrouille, C

    N. Palanque-Delabrouille, C. Yèche, A. Borde, J.-M. Le Goff, G. Rossi, M. Viel et al.,The one-dimensional Lyαforest power spectrum from BOSS,Astron. Astrophys.559(2013) A85. [50]DESIcollaboration, M. Abdul Karim et al.,DESI DR2 results. I. Baryon acoustic oscillations from the...

  35. [44]

    Cuceu et al.,DESI DR1 Lyαforest: 3D full-shape analysis and cosmological constraints, 2509.15308

    A. Cuceu et al.,DESI DR1 Lyαforest: 3D full-shape analysis and cosmological constraints, 2509.15308. – 28 –

  36. [45]

    Bautista,Baryon Acoustic Oscillations in the Large Scale Structures of the Universe as Seen by the Sloan Digital Sky Survey

    J. Bautista,Baryon Acoustic Oscillations in the Large Scale Structures of the Universe as Seen by the Sloan Digital Sky Survey. PhD thesis, Université Paris Diderot, 2014

  37. [46]

    Ramírez-Pérez, J

    C. Ramírez-Pérez, J. Sanchez, D. Alonso and A. Font-Ribera,CoLoRe: Fast cosmological realizations over large volumes with multiple tracers,J. Cosmology Astropart. Phys.2022 (2022) 033, [2111.05069]

  38. [47]

    J. Farr, A. Font-Ribera, H. du Mas des Bourboux, A. Muñoz-Gutiérrez, F. J. Sánchez, A. Pontzen et al.,LyaCoLoRe: Synthetic datasets for current and future Lyman-αforest BAO surveys,J. Cosmology Astropart. Phys.2020(2020) 068

  39. [48]

    H. K. Herrera-Alcantar, A. Muñoz-Gutiérrez, T. Ting et al.,Synthetic spectra for Lyman-α forest analysis in the Dark Energy Spectroscopic Instrument,J. Cosmology Astropart. Phys. 2025(2025) 141

  40. [49]

    D. Blas, J. Lesgourgues and T. Tram,The cosmic linear anisotropy solving system (CLASS). part II: Approximation schemes,J. Cosmology Astropart. Phys.2011(2011) 034

  41. [50]

    Cuceu, A

    A. Cuceu, A. Font-Ribera, P. Martini, B. Joachimi, S. Nadathur, J. Rich et al.,The Alcock–Paczyński effect from Lyman-αforest correlations: Analysis validation with synthetic data,J. Cosmology Astropart. Phys.2023(2023) 035, [2209.12931]

  42. [51]

    K. K. Rogers, S. Bird, H. V. Peiris, A. Pontzen, A. Font-Ribera and B. Leistedt,Correlations in the three-dimensional Lyman-αforest contaminated by high column density absorbers,Mon. Not. Roy. Astron. Soc.476(2018) 3716–3728, [1711.06275]

  43. [52]

    Arinyo-i Prats, J

    A. Arinyo-i Prats, J. Miralda-Escudé, M. Viel and R. Cen,The non-linear power spectrum of the Lyman Alpha forest,J. Cosmology Astropart. Phys.2015(2015) 017

  44. [53]

    W. J. Handley, M. P. Hobson and A. N. Lasenby,PolyChord: Nested sampling for cosmology, Mon. Not. Roy. Astron. Soc. Lett.450(2015) L61–L65

  45. [54]

    W. J. Handley, M. P. Hobson and A. N. Lasenby,PolyChord: Next-generation nested sampling, Mon. Not. Roy. Astron. Soc.453(2015) 4385–4399

  46. [55]

    Cuceu, A

    A. Cuceu, A. Font-Ribera and B. Joachimi,Bayesian methods for fitting baryon acoustic oscillations in the Lyman-αforest,J. Cosmology Astropart. Phys.2020(2020) 035

  47. [56]

    Busca, J

    N. Busca, J. Rich, J. Bautista et al.,The effects of continuum fitting on Lyman-αforest correlations,2506.15262. [64]Planckcollaboration, P. A. R. Ade, N. Aghanim, M. Arnaud, M. Ashdown, J. Aumont, C. Baccigalupi et al.,Planck 2015 results – XIII: Cosmological parameters,Astro...

  48. [57]

    DESI Collaboration, A. G. Adame, J. Aguilar, S. Ahlen, S. Alam, D. M. Alexander et al., DESI 2024 II: Sample definitions, characteristics, and two-point clustering statistics,J. Cosmology Astropart. Phys.2025(2025) 017, [2411.12020]. – 29 –

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