Recognition: unknown
Neutrino self-interactions in post-reionization era: Lyman-α, 21-cm and cross-spectra
Pith reviewed 2026-05-10 09:44 UTC · model grok-4.3
The pith
The Lyman-α and 21-cm cross-correlation at redshifts 2 to 3.5 provides a robust probe of neutrino self-interactions by breaking the degeneracy between the coupling strength and the primordial power spectrum amplitude that affects CMB data.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
Modeling neutrino self-interactions via an effective four-fermion coupling G_eff, the resulting modifications to the Lyman-α and 21-cm auto- and cross-power spectra enable the cross-correlation to act as a degeneracy-breaking probe, so that the CMB+PUMA combination reaches 1σ constraints of O(10^{-3}) on σ(log10 G_eff) for the SI_ν mode and O(10^{-2}) for the MI_ν mode—an improvement of roughly one order of magnitude for SI_ν and nearly two for MI_ν over CMB-only forecasts, with the result holding across log10 G_eff from -6 to -1.77.
What carries the argument
The Lyman-α–21-cm cross-power spectrum, which isolates the scale-dependent neutrino interaction signal in Fisher forecasts while remaining resilient to certain systematics and breaking the A_s–G_eff degeneracy.
If this is right
- The Lyα–21-cm cross-correlation decisively breaks the A_s–G_eff degeneracy that limits CMB-only analysis, especially for the SI_ν mode.
- The CMB+PUMA combination is the optimal configuration, delivering O(10^{-3}) constraints on σ(log10 G_eff) for SI_ν and O(10^{-2}) for MI_ν.
- These gains hold uniformly over the full coupling range from log10 G_eff = -6 to -1.77.
- The improvement relative to CMB-only is approximately one order of magnitude for SI_ν and nearly two orders for MI_ν.
Where Pith is reading between the lines
- Dedicated cross-correlation pipelines for upcoming 21-cm surveys would maximize sensitivity to late-time neutrino interaction effects.
- The same cross-spectrum technique could be applied to other large-scale structure tracers such as galaxy clustering to test consistency of the G_eff signal.
- If the forecasts prove accurate, the post-reionization window offers an independent route to neutrino physics that complements early-universe CMB constraints.
Load-bearing premise
The power spectrum modifications from neutrino self-interactions are accurately modeled and the cross-correlation is indeed systematics-resilient without detailed quantification of residual systematics in the forecasts.
What would settle it
A measurement of the Lyman-α–21-cm cross-power spectrum at z ~ 2–3.5 that matches the no-interaction prediction to within the forecasted uncertainties of SKA1-Mid or PUMA would falsify the claimed improvement in constraints on G_eff.
read the original abstract
Neutrino self-interactions delay the onset of free-streaming in the early universe, leaving distinct, scale-dependent signatures on the matter power spectrum. We investigate these signatures in post-reionization 21-cm intensity mapping and the Lyman-$\alpha$ (Ly$\alpha$) forest at redshifts $z \sim 2$--$3.5$, and forecast the constraints achievable with upcoming surveys using Fisher matrix analysis. Modeling neutrino self-interactions through an effective four-fermion parameterization with coupling $G_{\rm eff}$, we compute modifications to the Ly$\alpha$ and 21-cm auto- and cross-power spectra for both strongly interacting (SI$_\nu$, $\log_{10}G_{\mathrm{eff}} = -1.77$) and moderately interacting (MI$_\nu$, $\log_{10}G_{\mathrm{eff}} = -5$) scenarios. We then combine these with forecasts for a representative next-generation cosmic microwave background (CMB) mission to evaluate the capabilities of SKA1-Mid and PUMA. We find that the Ly$\alpha$--21-cm cross-correlation provides a systematics-resilient probe of the interaction signal, and decisively breaks the degeneracy between the primordial scalar power spectrum amplitude ($A_s$) and $G_{\rm eff}$ that limits CMB only analysis, particularly for the SI$_\nu$ mode. Furthermore, the CMB+PUMA combination emerges as the optimal survey configuration for both regimes, reaching 1$\sigma$ constraints of $\mathcal{O}(10^{-3})$ on $\sigma(\log_{10}G_{\rm eff})$ for the SI$_\nu$ mode and $\mathcal{O}(10^{-2})$ for the MI$_\nu$ mode. Compared to the CMB-only baseline, this represents an improvement of approximately one order of magnitude for the SI$_\nu$ mode, and nearly two orders of magnitude for the MI$_\nu$ mode. We show that this conclusion holds uniformly over the full range of coupling strengths from $\log_{10}G_{\rm eff} = -6$ to $-1.77$.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper forecasts constraints on neutrino self-interactions (parameterized by effective coupling G_eff) in the post-reionization era using Lyman-α forest, 21-cm intensity mapping, and their cross-power spectra at z~2-3.5. It models scale-dependent modifications to the auto- and cross-spectra for strongly interacting (SI_ν, log10 G_eff=-1.77) and moderately interacting (MI_ν, log10 G_eff=-5) benchmarks via Fisher matrix analysis, combined with next-generation CMB data. The central claims are that the Lyα-21cm cross-correlation is systematics-resilient and breaks the A_s-G_eff degeneracy limiting CMB-only analyses, with CMB+PUMA as the optimal configuration yielding 1σ constraints of O(10^{-3}) on σ(log10 G_eff) for SI_ν and O(10^{-2}) for MI_ν (improvements of ~1-2 orders of magnitude over CMB alone), holding across log10 G_eff from -6 to -1.77.
Significance. If the power spectrum modeling holds and the cross-correlation assumptions are validated, this provides a valuable extension of neutrino self-interaction constraints beyond early-universe probes, demonstrating how multi-tracer cross-correlations with upcoming surveys (SKA1-Mid, PUMA) can break key degeneracies. The uniform results over a wide coupling range and explicit comparison to CMB baseline are strengths of the forecasting approach.
major comments (2)
- [Abstract and Fisher analysis] Abstract and Fisher analysis section: The claim that the Lyα--21-cm cross-correlation 'decisively breaks the degeneracy between A_s and G_eff' and is 'systematics-resilient' is load-bearing for the quoted constraints and improvement factors. However, the Fisher formalism treats the cross-spectrum covariance without explicit injection or marginalization over correlated residuals (e.g., 21-cm foreground leakage or Lyα continuum errors at the 10-20% level on relevant k-modes); this assumption directly supports the O(10^{-3}) and O(10^{-2}) forecasts but lacks quantification of bias or degradation if residuals do not fully cancel.
- [Power spectrum modeling] Power spectrum modeling (pre-Fisher section): The modifications to Lyα and 21-cm spectra are computed for fixed benchmark G_eff values, but the manuscript does not provide an explicit equation or derivation showing how the delayed free-streaming alters the matter power spectrum transfer function at post-reionization redshifts; without this or a reference to the precise Boltzmann solver implementation, it is difficult to assess the accuracy of the scale-dependent suppression used in the Fisher matrix.
minor comments (2)
- Notation for log10 G_eff should be used consistently in text, tables, and figure captions to avoid ambiguity between the two benchmark modes.
- The abstract states the conclusion 'holds uniformly' over the coupling range; a brief summary table or plot of σ(log10 G_eff) vs. input G_eff would strengthen this claim for readers.
Simulated Author's Rebuttal
We thank the referee for their careful and constructive review of our manuscript. We address each major comment point by point below, providing the strongest honest defense of our analysis while agreeing to revisions where the comments identify genuine gaps in clarity or quantification.
read point-by-point responses
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Referee: [Abstract and Fisher analysis] Abstract and Fisher analysis section: The claim that the Lyα--21-cm cross-correlation 'decisively breaks the degeneracy between A_s and G_eff' and is 'systematics-resilient' is load-bearing for the quoted constraints and improvement factors. However, the Fisher formalism treats the cross-spectrum covariance without explicit injection or marginalization over correlated residuals (e.g., 21-cm foreground leakage or Lyα continuum errors at the 10-20% level on relevant k-modes); this assumption directly supports the O(10^{-3}) and O(10^{-2}) forecasts but lacks quantification of bias or degradation if residuals do not fully cancel.
Authors: We thank the referee for this important observation. The cross-power spectrum is modeled with the standard Gaussian covariance, which implicitly assumes that residuals (such as 21-cm foreground leakage or Lyα continuum errors) do not introduce additional correlated noise between the tracers. This is justified because the two observables are measured with independent instruments and trace different physics, so many systematics are expected to be uncorrelated and thus suppressed in the cross-spectrum. Nevertheless, we agree that explicit quantification would strengthen the 'systematics-resilient' claim. In the revised manuscript we will add a dedicated paragraph in the Fisher analysis section together with a supplementary calculation that injects 10-20% correlated residuals on the relevant k-modes and recomputes the Fisher matrix; preliminary checks indicate that the improvement over CMB-only constraints remains at the level of one order of magnitude for the SI_ν case. This constitutes a partial revision: the core forecasts and degeneracy-breaking statements are retained under the standard assumptions, but the robustness is now quantified. revision: partial
-
Referee: [Power spectrum modeling] Power spectrum modeling (pre-Fisher section): The modifications to Lyα and 21-cm spectra are computed for fixed benchmark G_eff values, but the manuscript does not provide an explicit equation or derivation showing how the delayed free-streaming alters the matter power spectrum transfer function at post-reionization redshifts; without this or a reference to the precise Boltzmann solver implementation, it is difficult to assess the accuracy of the scale-dependent suppression used in the Fisher matrix.
Authors: We appreciate the referee's request for greater transparency in the modeling. The scale-dependent suppression originates from the delayed onset of neutrino free-streaming caused by the effective four-fermion self-interaction; this modifies the neutrino perturbation equations in the Boltzmann hierarchy, which in turn alters the matter transfer function on scales that entered the horizon while the neutrinos were still interacting. In the revised manuscript we will insert an explicit equation (derived from the modified continuity and Euler equations for neutrinos with the G_eff term) in the power-spectrum modeling subsection and cite the specific extension of the CLASS Boltzmann solver employed (following the implementation used in prior neutrino self-interaction studies). This addition will allow readers to reproduce the transfer-function modifications at z ≈ 2–3.5 for both benchmark values of log10 G_eff. revision: yes
Circularity Check
No circularity: standard Fisher forecasts on modeled spectra
full rationale
The paper's derivation consists of computing scale-dependent modifications to Lyα and 21-cm auto- and cross-power spectra for fixed benchmark values of G_eff (SI_ν and MI_ν modes), then applying the standard Fisher matrix formalism to forecast parameter constraints when combined with CMB data. No actual data are fitted, no parameters are tuned to produce the quoted constraints, and the central claims (degeneracy breaking, O(10^{-3}) reach) follow directly from the input power-spectrum model plus the Fisher algebra. No self-citations, ansatzes, or uniqueness theorems are invoked in a load-bearing way that reduces the result to the inputs by construction. The analysis is therefore self-contained.
Axiom & Free-Parameter Ledger
free parameters (2)
- log10 G_eff (SI_ν benchmark) =
-1.77
- log10 G_eff (MI_ν benchmark) =
-5
axioms (3)
- domain assumption Neutrino self-interactions are parameterized by an effective four-fermion coupling G_eff that delays free-streaming
- domain assumption The Fisher matrix provides a reliable estimate of parameter uncertainties for these survey configurations
- domain assumption Baryonic and other astrophysical effects can be marginalized or modeled sufficiently for the neutrino signal extraction
Reference graph
Works this paper leans on
-
[1]
G. Drexlin,Final neutrino oscillation results from LSND and KARMEN,Nuclear Physics B – 32 – Figure 15: Full nine-parameter marginalized 1σ–2σFisher contours in the SI ν regime (log10 Geff =−1.77) for CMB combined with DESI-like (blue), PUMA (orange), and their joint combination (purple). PUMA delivers the tightest posteriors across all nine parameters in ...
-
[2]
I. J. Allali and A. Notari,Neutrino mass bounds from DESI 2024 are relaxed by Planck PR4 and cosmological supernovae,JCAP12(2024) 020, [2406.14554]. [16]DESIcollaboration, M. Abdul Karim et al.,DESI DR2 results. II. Measurements of baryon acoustic oscillations and cosmological constraints,Phys. Rev. D112(2025) 083515, [2503.14738]
-
[3]
W. Elbers et al.,Constraints on neutrino physics from DESI DR2 BAO and DR1 full shape, Phys. Rev. D112(2025) 083513, [2503.14744]
-
[4]
Signatures of relativistic neutrinos in CMB anisotropy and matter clustering
S. Bashinsky and U. Seljak,Neutrino perturbations in CMB anisotropy and matter clustering, Phys. Rev. D69(2004) 083002, [astro-ph/0310198]
- [5]
-
[6]
Massive neutrinos and cosmology
J. Lesgourgues and S. Pastor,Massive neutrinos and cosmology,Phys. Rept.429(2006) 307–379, [astro-ph/0603494]
work page Pith review arXiv 2006
-
[7]
S. Agarwal and H. A. Feldman,The effect of massive neutrinos on the matter power spectrum,Mon. Not. Roy. Astron. Soc.410(2011) 1647, [1006.0689]
- [8]
- [9]
- [10]
- [11]
-
[12]
M. Levi and Z. Vlah,Massive neutrinos in nonlinear large scale structure: A consistent perturbation theory,1605.09417
- [13]
-
[14]
Nascimento,Accurate fluid approximation for massive neutrinos in cosmology,Phys
C. Nascimento,Accurate fluid approximation for massive neutrinos in cosmology,Phys. Rev. D108(2023) 023505, [2303.09580]
-
[15]
F.-Y. Cyr-Racine and K. Sigurdson,Limits on Neutrino-Neutrino Scattering in the Early Universe,Phys. Rev. D90(2014) 123533, [1306.1536]
- [16]
- [17]
-
[18]
S. Roy Choudhury, S. Hannestad and T. Tram,Updated constraints on massive neutrino self-interactions from cosmology in light of theH 0 tension,JCAP03(2021) 084, [2012.07519]
- [19]
-
[20]
T. Brinckmann, J. H. Chang and M. LoVerde,Self-interacting neutrinos, the Hubble parameter tension, and the cosmic microwave background,Phys. Rev. D104(2021) 063523, [2012.11830]
- [21]
- [22]
-
[23]
D. Camarena, F.-Y. Cyr-Racine and J. Houghteling,Confronting self-interacting neutrinos with the full shape of the galaxy power spectrum,Phys. Rev. D108(2023) 103535, [2309.03941]
- [24]
- [25]
- [26]
-
[27]
D. Camarena and F.-Y. Cyr-Racine,Strong constraints on a simple self-interacting neutrino cosmology,Phys. Rev. D111(2025) 023504, [2403.05496]
-
[28]
Silk,Cosmic Black-Body Radiation and Galaxy Formation,Astrophys
J. Silk,Cosmic Black-Body Radiation and Galaxy Formation,Astrophys. J.151(Feb., 1968) 459
1968
- [29]
-
[30]
P. Bull, P. G. Ferreira, P. Patel and M. G. Santos,Late-time cosmology with 21cm intensity mapping experiments,Astrophys. J.803(2015) 21, [1405.1452]
work page Pith review arXiv 2015
- [31]
-
[32]
S. Bharadwaj, B. B. Nath, B. B. Nath and S. K. Sethi,Using HI to probe large scale structures at z ˜ 3,J. Astrophys. Astron.22(2001) 21, [astro-ph/0003200]
-
[33]
Camera et al.,Cosmology on the Largest Scales with the SKA,PoSAASKA14(2015) 025, [1501.03851]
S. Camera et al.,Cosmology on the Largest Scales with the SKA,PoSAASKA14(2015) 025, [1501.03851]
-
[34]
F. Villaescusa-Navarro, M. Viel, K. K. Datta and T. R. Choudhury,Modeling the neutral hydrogen distribution in the post-reionization Universe: intensity mapping,JCAP09(2014) 050, [1405.6713]
- [35]
- [36]
-
[37]
S. Libanore, C. Unal, D. Sarkar and E. D. Kovetz,Unveiling cosmological information on small scales with line intensity mapping,Phys. Rev. D106(2022) 123512, [2208.01658]. – 35 –
- [38]
-
[39]
A. Chakraborty et al.,First Multi-redshift Limits on Post–Epoch of Reionization 21 cm Signal from z = 1.96–3.58 Using uGMRT,Astrophys. J. Lett.907(2021) L7, [2012.04674]
-
[40]
R. Norris, K. Basu, M. Brown, E. Carretti, A. D. Kapinska, I. Prandoni et al.,The SKA Mid-frequency All-sky Continuum Survey: Discovering the unexpected and transforming radio-astronomy, inAdvancing Astrophysics with the Square Kilometre Array (AASKA14), p. 86, Apr., 2015.1412.6076. DOI. [55]SKAcollaboration, D. J. Bacon et al.,Cosmology with Phase 1 of t...
-
[41]
A. Weltman et al.,Fundamental physics with the Square Kilometre Array,Publ. Astron. Soc. Austral.37(2020) e002, [1810.02680]. [57]Cosmic Visions 21 cmcollaboration, R. Ansari et al.,Inflation and Early Dark Energy with a Stage II Hydrogen Intensity Mapping experiment,1810.09572. [58]PUMAcollaboration, A. Slosar et al.,Packed Ultra-wideband Mapping Array (...
-
[42]
Castorina et al.,Packed Ultra-wideband Mapping Array (PUMA): Astro2020 RFI Response, 2002.05072
E. Castorina et al.,Packed Ultra-wideband Mapping Array (PUMA): Astro2020 RFI Response,2002.05072
- [43]
-
[44]
S. Libanore, S. Ghosh, E. D. Kovetz, K. K. Boddy and A. Raccanelli,Joint 21-cm and CMB forecasts for constraining self-interacting massive neutrinos,Phys. Rev. D112(2025) 063502, [2504.15348]
-
[45]
P. McDonald and D. Eisenstein,Dark energy and curvature from a future baryonic acoustic oscillation survey using the Lyman-alpha forest,Phys. Rev. D76(2007) 063009, [astro-ph/0607122]. [63]BOSScollaboration, N. Palanque-Delabrouille et al.,The one-dimensional Ly-alpha forest power spectrum from BOSS,Astron. Astrophys.559(2013) A85, [1306.5896]
-
[46]
A. Arinyo-i Prats, J. Miralda-Escud´ e, M. Viel and R. Cen,The Non-Linear Power Spectrum of the Lyman Alpha Forest,JCAP12(2015) 017, [1506.04519]
-
[47]
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,Mon. Not. Roy. Astron. Soc.533(2024) 3756–3770, [2403.08241]
-
[48]
I. P. Carucci, F. Villaescusa-Navarro and M. Viel,The cross-correlation between 21 cm intensity mapping maps and the Lyαforest in the post-reionization era,JCAP04(2017) 001, [1611.07527]. [67]CHIMEcollaboration, M. Amiri et al.,A Detection of Cosmological 21 cm Emission from CHIME in Cross-correlation with eBOSS Measurements of the LyαForest,Astrophys. J....
-
[49]
P. Montero-Camacho, C. Morales-Guti´ errez, Y. Zhang, H. Long and Y. Mao,Reionization relics in the cross-correlation between the Lyαforest and 21 cm intensity mapping in the post-reionization era,Mon. Not. Roy. Astron. Soc.536(2024) 1645–1659, [2409.11613]
- [50]
- [51]
-
[52]
C. B. V. Dash, T. G. Sarkar and A. K. Sarkar,Intensity mapping of post-reionization 21-cm signal and its cross-correlations as a probe of f(R) gravity,J. Astrophys. Astron.44(2023) 5, [2012.07373]. [72]CMB-S4collaboration, K. N. Abazajian et al.,CMB-S4 Science Book, First Edition. 10, 2016, 10.2172/1352047
- [53]
-
[54]
S. R. Choudhury, S. Hannestad and T. Tram,Massive neutrino self-interactions and the Hubble tension,J. Phys. Conf. Ser.2156(2021) 012016
2021
-
[55]
S. Roy Choudhury, S. Hannestad and T. Tram,Massive neutrino self-interactions and inflation,JCAP10(2022) 018, [2207.07142]
- [56]
-
[57]
I. P´ erez-Castro, J. De-Santiago, G. Garcia-Arroyo, J. Venzor and A. P´ erez-Lorenzana, Towards a complete scheme of cosmological neutrino self-interactions: Collision term for a wide range of mediator masses,2602.12477
work page internal anchor Pith review Pith/arXiv arXiv
- [58]
-
[59]
D. Blas, J. Lesgourgues and T. Tram,The cosmic linear anisotropy solving system (class). part ii: Approximation schemes,Journal of Cosmology and Astroparticle Physics2011(2011) 034
2011
-
[60]
Lesgourgues and T
J. Lesgourgues and T. Tram,The cosmic linear anisotropy solving system (class) iv: efficient implementation of non-cold relics,Journal of Cosmology and Astroparticle Physics2011 (2011) 032
2011
-
[61]
P. Parashari, V. Gluscevic, Y. Zhang, S. Bird, M. M. Ivanov and A. He,Lyαforest bounds on sterile neutrino production via neutrino self-interactions,2602.17821
-
[62]
Kaiser,Clustering in real space and in redshift space,Mon
N. Kaiser,Clustering in real space and in redshift space,Mon. Not. Roy. Astron. Soc.227 (1987) 1–27
1987
-
[63]
P. J. Peebles,The Large-Scale Structure of the Universe. Princeton University Press, 11, 1980
1980
-
[64]
C. Hikage and K. Yamamoto,Fingers-of-God effect of infalling satellite galaxies,Mon. Not. Roy. Astron. Soc.455(2016) L77–L81, [1506.01100]
-
[65]
A. Baleato Lizancos, U. Seljak, M. Karamanis, M. Bonici and S. Ferraro,Selecting samples of galaxies with fewer Fingers-of-God,arXiv e-prints(Jan., 2025) arXiv:2501.10587, [2501.10587]
-
[66]
J. C. Jackson,Fingers of God: A critique of Rees’ theory of primoridal gravitational radiation,Mon. Not. Roy. Astron. Soc.156(1972) 1P–5P, [0810.3908]
work page Pith review arXiv 1972
-
[67]
D. Sarkar and S. Bharadwaj,Modelling redshift space distortion in the post-reionization H i 21-cm power spectrum,Mon. Not. Roy. Astron. Soc.476(2018) 96–108, [1801.07868]. – 37 –
- [68]
- [69]
-
[70]
Guha Sarkar, S
T. Guha Sarkar, S. Bharadwaj, T. R. Choudhury and K. K. Datta,Cross-correlation of the H I 21-cm signal and Lyαforest: a probe of cosmology,Mon. Not. Roy. Astron. Soc.410(Jan.,
- [71]
-
[72]
E. Castorina and F. Villaescusa-Navarro,On the spatial distribution of neutral hydrogen in the Universe: bias and shot-noise of the HI power spectrum,Mon. Not. Roy. Astron. Soc.471 (2017) 1788–1796, [1609.05157]
-
[73]
D. Karagiannis, J. Fonseca, R. Maartens and S. Camera,Probing primordial non-Gaussianity with the power spectrum and bispectrum of future 21 cm intensity maps,Phys. Dark Univ.32 (2021) 100821, [2010.07034]
-
[74]
Detecting the relativistic bispectrum in 21cm intensity maps,
S. Jolicoeur, R. Maartens, E. M. De Weerd, O. Umeh, C. Clarkson and S. Camera,Detecting the relativistic bispectrum in 21cm intensity maps,JCAP06(2021) 039, [2009.06197]
-
[75]
Aharonian et al.,Pathway to the Square Kilometre Array - The German White Paper -, 1301.4124
F. Aharonian et al.,Pathway to the Square Kilometre Array - The German White Paper -, 1301.4124
-
[76]
A. Bonaldi et al.,Square Kilometre Array Science Data Challenge 3a: foreground removal for an EoR experiment,Mon. Not. Roy. Astron. Soc.543(2025) 1092–1119, [2503.11740]. [96]DESIcollaboration, A. G. Adame et al.,DESI 2024 IV: Baryon Acoustic Oscillations from the Lyman alpha forest,JCAP01(2025) 124, [2404.03001]. [97]DESIcollaboration, C. Ramirez-Perez e...
- [77]
-
[78]
N. Palanque-Delabrouille, C. Magneville, C. Y` eche, S. Eftekharzadeh, A. D. Myers, P. Petitjean et al.,Luminosity function from dedicated SDSS-III and MMT data of quasars in 0.7 ¡ z ¡ 4.0 selected with a new approach,Astron. Astrophys.551(Mar., 2013) A29, [1209.3968]
-
[79]
C. Y` eche, N. Palanque-Delabrouille, J. Baur and H. du Mas des Bourboux,Constraints on neutrino masses from Lyman-alpha forest power spectrum with BOSS and XQ-100,JCAP06 (2017) 047, [1702.03314]
-
[80]
Y. Matsuoka, M. Onoue, K. Iwasawa, M. A. Strauss, N. Kashikawa, T. Izumi et al.,Quasar Luminosity Function at z = 7,Astrophys. J. Lett.949(June, 2023) L42, [2305.11225]
discussion (0)
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