REVIEW 3 major objections 5 minor 69 references
Impact of light sterile neutrinos on cosmological large scale structure
T0 review · 3 major / 5 minor · reviewed 2026-08-10 · deepseek-v4-flash
Pith's one-line read Light eV-scale sterile neutrinos would leave a two-sided imprint on the cosmic web: suppressed matter clustering and halo abundances, but enhanced halo pairwise infall velocities, quantified by new fitting formulae.
desk verdict Useful, incremental sterile-neutrino LSS paper with honest fitting formulae; the main caveat is that the linear-response treatment is untested against particle simulations on nonlinear scales. read the letter →
The pith
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
The reading
What carries the argument
The load-bearing machinery is the linear-response approximation for the sterile neutrino overdensity, implemented on a grid inside a modified N-body code. In this scheme the sterile neutrino phase-space distribution is split into an unperturbed Fermi-Dirac part and a linear perturbation, and the linearised Vlasov equation (Eq. 2.8 / A.10) evolves $\tilde{\delta}_{\nu_s}(s,k)$ using the free-streaming kernel $\Phi(q)$, which is the Fourier transform of the normalised momentum distribution. This overdensity is then folded into the total matter density field through Eq. (2.7), so the gravitational force on CDM particles includes the neutrino smoothing without requiring neutrino particles. The paper's fitting formulae are quadratic expansions in $m_{\rm phy}$ and $\Delta N_{\rm eff}$ around the no-sterile fiducial model, with coefficients fixed by the simulations; that expansion is the object that converts simulation outputs into a usable observable prediction.
What would settle it
Run the same five cosmologies with a full particle-based sterile neutrino population at matched box size and resolution, and compare the matter power spectrum, halo pairwise velocity, and halo mass and velocity functions at $k \gtrsim 1\,h\,{\rm Mpc}^{-1}$; a disagreement larger than the quoted cosmic variance would show the linear-response predictions are not accurate there.
Extended reading notes
Core claim
The central discovery, on the paper's own terms, is that light sterile neutrinos act as a free-streaming hot component whose gravitational back-reaction reshapes structure in a characteristic two-sided way. The dilution of the total matter overdensity by the weakly clustering sterile neutrinos suppresses power at $k \gtrsim 0.1\,h\,{\rm Mpc}^{-1}$ and lowers the abundance of massive halos, yet the same slower growth makes infalling halo pairs fall faster at separations above a few Mpc, because the surrounding matter distribution is less clumped and the pairwise streaming relation responds to the changed correlation function. The paper claims that these effects are robust across its resolution tests and that the parameter degeneracy between $m_{\rm phy}$ and $\Delta N_{\rm eff}$ is broken at $k \gtrsim 1\,h\,{\rm Mpc}^{-1}$ in the power spectrum and at $r \lesssim 4\,h^{-1}\,{\rm Mpc}$ in the correlation function. If correct, the fitting formulae it presents let a measurement of $\bar{R}$, $\bar{R}^v_{hh}$, or $\bar{R}^{\sigma}_{hh}$ be translated directly into constraints on sterile neutrino mass and thermalisation.
Load-bearing premise
The load-bearing premise is that the sterile neutrino overdensity follows the linear evolution equation even on scales where CDM is strongly nonlinear, so its clustering can be computed from the nonlinear CDM field rather than from a full particle treatment; the paper tests this by resolution convergence but not against a particle-based sterile neutrino simulation.
Editorial extensions
If this is right
- The predicted suppression of the matter power spectrum and two-point correlation function reaches roughly 40 percent for $m_{\rm phy}=2\,{\rm eV}$, $\Delta N_{\rm eff}=0.4$, and the $m_{\rm phy}$–$\Delta N_{\rm eff}$ degeneracy is broken at $k\gtrsim1\,h\,{\rm Mpc}^{-1}$.
- Halo mass and cumulative circular-velocity functions are suppressed by 40–50 percent at their high-mass and high-speed ends for the same parameters, so cluster counts and velocity-selected samples become sensitive probes.
- For halos in the mass range $[10^{13},10^{14}]\,M_\odot\,h^{-1}$, the halo pairwise infall velocity increases by up to about 15 percent while its dispersion decreases by about 2 percent, giving a velocity-space signature opposite in sign to the density suppression.
- Eq. (4.4) and Eq. (4.13) with the tabulated coefficients provide direct fits for the averaged fractional deviations, meaning that a measured deviation can be mapped back to a region in the $m_{\rm phy}$–$\Delta N_{\rm eff}$ plane.
- Because the background cosmology is refitted for each sterile neutrino model, the quoted impacts are those that would survive a joint CMB+BAO calibration; they are not artefacts of holding other parameters fixed.
Reading between the lines
- By extension, the same grid-based pipeline applies to any decoupled relic with a Fermi-Dirac-like momentum distribution and small overdensity, such as thermally produced eV-scale QCD axions; the paper notes this, and the natural extension is that the quadratic fitting-formula structure would carry over with rescaled coefficients.
- Since the power spectrum breaks the $m_{\rm phy}$–$\Delta N_{\rm eff}$ degeneracy at small scales while the pairwise velocity is nearly degenerate in $m_{\rm eff}$, combining the two observables in a joint analysis should constrain the sterile neutrino parameters more tightly than either channel alone.
- A testable extension is to measure the predicted roughly 15 percent halo pairwise velocity enhancement at $r\sim6\text{–}20\,h^{-1}\,{\rm Mpc}$ with kinematic Sunyaev-Zeldovich or redshift-space streaming data, which current and near-future surveys have the pair counts to attempt.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper studies the impact of eV-scale sterile neutrinos on cosmological large-scale structure using N-body simulations that incorporate both active and sterile neutrinos through a grid-based linear response approximation (LRA). The authors run simulations for four sterile-neutrino models defined by (m_phy, ΔN_eff), with cosmological parameters refitted to Planck+BAO data, and compare against a no-sterile-neutrino fiducial run. They report that sterile neutrinos suppress the total matter power spectrum and the two-point correlation function, reduce the halo mass and maximum-circular-velocity functions, and increase the magnitude of the halo-halo pairwise velocity. They also present three fitting formulae for the averaged fractional deviations of the power spectrum, halo pairwise velocity, and pairwise velocity dispersion as functions of m_phy and ΔN_eff.
Significance. If the quantitative results are reliable, the paper provides a useful set of predictions and fitting formulae for using LSS observables to constrain eV-scale sterile neutrinos, and it highlights a physically interesting breaking of the m_phy–ΔN_eff degeneracy at small scales. The work is strengthened by the use of refitted cosmological parameters, consistency checks with two random seeds, and a simulation method that is standard in the massive-neutrino literature. However, the fitting formulae are calibrated on only four simulation models with three free parameters, and the linear-response approximation is not directly validated in the high-k regime where the main quantitative claims are made; these issues limit the strength of the quantitative conclusions.
major comments (3)
- [§4.1, Eq. (4.4); §4.2, Eq. (4.13) and Table 3] The fitting formulae for \bar R, \bar R^v_hh, and \bar R^σ_hh are calibrated on only four simulation models (T1–T4 or B1–C2) while each formula has three free coefficients. With only one degree of freedom, the quoted parameter uncertainties are not statistically meaningful, and the expressions are effectively interpolations through four points rather than validated fitting functions. The authors should either run additional models spanning the (m_phy, ΔN_eff) plane, or explicitly present Eqs. (4.4) and (4.13) as four-point interpolations and remove or heavily qualify the reported coefficient errors. This matters because the fitting formulae are a central deliverable of the paper.
- [§2.3, Eq. (2.8); Appendix A.1; §3.1, Fig. 1] The quantitative predictions at k ∈ [0.7, 2.5] h/Mpc and the halo statistics in §4 all pass through the linear-response evolution of the sterile-neutrino overdensity, Eq. (2.8)/(A.10), sourced by the fully nonlinear CDM-baryon field. The validation presented in Fig. 1 and Fig. 11 tests only resolution convergence and seed dependence, not the validity of the linear-response approximation itself in the k range where the paper claims degeneracy breaking and reports up to ~40% suppression. I request either a direct comparison against a particle-based sterile-neutrino simulation in this regime, or a quantitative estimate of the LRA error from published tests at k > 1 h/Mpc. Without this, the accuracy of the headline suppression amplitudes and of the fitting formulae is not established.
- [§4.2, Figs. 6 and 7] The sign reversal between the particle-particle pairwise velocity, whose magnitude decreases with m_phy and ΔN_eff, and the halo-halo pairwise velocity, whose magnitude increases for r > 4 h^-1 Mpc, is a key qualitative result. The paper does not explain this reversal. If it arises from halo bias or from the specific halo mass range [10^13, 10^14] h^-1 M_sun, this should be demonstrated, because it directly affects the interpretation of the fitting formula in Eq. (4.13).
minor comments (5)
- [Fig. 3] The lower panel is labelled 'P(k)/P0(k)' but the plotted quantity is the fractional deviation ΔP/P0; please relabel the axis to avoid confusion.
- [Fig. 11 caption] The caption reads '∆Nphy = 0.4'; this should be 'ΔN_eff = 0.4'.
- [§4.1 and §4.2] The fitting formulae are presented as functions of m_phy and ΔN_eff, but the simulations also vary the other cosmological parameters via the Planck+BAO refit. The text should state explicitly that Eqs. (4.4) and (4.13) describe the combined effect of sterile neutrinos plus the accompanying refit, not the isolated free-streaming effect at fixed background cosmology.
- [§4.2 and §4.3] The redshifts at which the pairwise velocity, halo mass function, and velocity function results are evaluated are not stated in the figure captions; please specify that the results are at z = 0 (or state the relevant redshift in each caption).
- [§2.3] A brief sentence in §3.1 noting the expected accuracy of the linear-response approximation at the k values used, with a citation to the relevant validation studies, would help the reader assess the robustness of the results without requiring a new simulation.
Circularity Check
No significant circularity: simulation outputs and honest fitting formulae, with self-citations limited to method reuse.
full rationale
The paper's central results are measurements from N-body simulations, not derivations from the target quantities. The linear-response equation (A.10) computes the sterile-neutrino overdensity from the CDM/baryon field using an established semi-analytic method originally due to Ali-Haimoud and Bird [23], and the resulting gravitational-potential correction feeds back into the simulation; no equation defines a predicted output in terms of itself. The fitting formulae (Eqs. 4.4 and 4.13) are explicitly fits to simulation output, with coefficients fitted from the same suite of models, and the paper labels them as fitting formulae rather than as independent predictions. Citations to the authors' prior work ([40], [48], [65]) are for numerical implementation and pairwise-velocity methodology, not for the paper's conclusions, and the original linear-response treatment is externally anchored by [23]. The linear-response assumption flagged in the Conclusions is a validation/accuracy concern about the method, not a circularity, because the sterile-neutrino overdensity is not set equal to the final power spectrum or halo statistics by construction. Therefore no circular step is present.
Assumptions & free parameters
free parameters (3)
- Rbar expansion coefficients Cnn, Cmn, Cn =
Cnn=0.472±0.177, Cmn=-0.522±0.028, Cn=-0.169±0.078
- Pairwise velocity fit coefficients Cv_nn, Cv_mn, Cv_n =
0.034±0.027, 0.134±0.006, -0.097±0.012
- Pairwise velocity dispersion fit coefficients Csig_nn, Csig_mn, Csig_n =
0.041±0.005, 0.014±0.001, -0.052±0.002
assumptions (5)
- domain assumption Sterile neutrinos maintain a Fermi-Dirac distribution with temperature T_nu and normalization DeltaNeff (Eq. 2.3).
- domain assumption Sterile neutrino overdensity evolves linearly even when CDM becomes nonlinear (Eq. 2.8 and A.10).
- domain assumption Initial neutrino overdensity is related to CDM by delta_nu/delta_cb = sqrt(Pnu/Pcb) from CAMB at z=99.
- domain assumption Active neutrinos are 3 degenerate masses with sum 0.06 eV.
- domain assumption Cosmological parameters for each sterile neutrino model are refitted to Planck 2018 + BAO (Table 2).
Cite this review
Pith. "Pith review of Impact of light sterile neutrinos on cosmological large scale structure." pith.science (2026). https://pith.science/paper/SURBVPVJ
@misc{pith2026250116908,
author = {Pith},
title = {Pith review of: Impact of light sterile neutrinos on cosmological large scale structure},
year = {2026},
howpublished = {\url{https://pith.science/paper/SURBVPVJ}},
note = {Machine review of arXiv:2501.16908}
}
abstract
Sterile neutrinos with masses on the $\mathrm{eV}$ scale are promising candidates to account for the origin of neutrino mass and the reactor neutrino anomalies. The mixing between sterile and active neutrinos in the early universe could result in a large abundance of relic sterile neutrinos, which depends on not only their physical mass $m_{\rm phy}$ but also their degree of thermalization, characterized by the extra effective number of relativistic degrees of freedom $\Delta N_{\rm eff}$. Using neutrino-involved N-body simulations, we investigate the effects of sterile neutrinos on the matter power spectrum, halo pairwise velocity, and halo mass and velocity functions. We find that the presence of sterile neutrinos suppress the matter power spectrum and halo mass and velocity functions, but enhance the halo pairwise velocity. We also provide fitting formulae to quantify these effects.
Reference graph
Works this paper leans on
-
[1]
M. Goldhaber, L. Grodzins and A.W. Sunyar, Helicity of Neutrinos , Phys. Rev. 109 (1958) 1015
work page 1958
-
[2]
S. Gariazzo, C. Giunti, M. Laveder, Y.F. Li and E.M. Zavanin, Light sterile neutrinos , J. Phys. G 43 (2016) 033001 [ 1507.08204]
arXiv 2016
-
[3]
Seesaw Right Handed Neutrino as the Sterile Neutrino for LSND
R.N. Mohapatra, S. Nasri and H.-B. Yu, Seesaw right handed neutrino as the sterile neutrino for LSND , Phys. Rev. D 72 (2005) 033007 [ hep-ph/0505021]. – 17 – 0.0225 0.0230 bh2 0.75 0.80 0.85 S8 0.70 0.72 0.74 0.76 0.78 0.80 0.82 8 0.66 0.68 0.70 66 67 68 69 H0 0.96 0.97 0.98 0.99 ns 3.00 3.05 3.10 ln(1010As) 0.118 0.120 0.122 0.124 0.126 ch2 0.120 0.125 ...
work page Pith review arXiv 2005
-
[4]
Abazajian et al., Light Sterile Neutrinos: A White Paper , 1204.5379
K.N. Abazajian et al., Light Sterile Neutrinos: A White Paper , 1204.5379
-
[5]
LSND collaboration, Evidence for nu(mu) — > nu(e) neutrino oscillations from LSND , Phys. Rev. Lett. 81 (1998) 1774 [ nucl-ex/9709006]
work page Pith review arXiv 1998
-
[6]
MiniBooNE collaboration, Significant Excess of ElectronLike Events in the MiniBooNE Short-Baseline Neutrino Experiment , Phys. Rev. Lett. 121 (2018) 221801 [ 1805.12028]
arXiv 2018
-
[7]
MINOS, MINOS+, Daya Bay, Bugey-3collaboration, Improved Limits on Sterile Neutrino Mixing from a Joint Search of the MINOS, MINOS+, Daya Bay, and Bugey-3 Experiments , PoS ICHEP2020 (2021) 201
work page 2021
-
[8]
MicroBooNE collaboration, First Constraints on Light Sterile Neutrino Oscillations from Combined Appearance and Disappearance Searches with the MicroBooNE Detector , Phys. Rev. Lett. 130 (2023) 011801 [ 2210.10216]. – 18 – 102 103 104 P(k) [h 3 Mpc3] mphy = 0 eV mphy = 1 eV mphy = 2 eV Seed 1 Seed 2 Seed 1 Seed 2 10 1 100 k [h Mpc 1] 40 20 0 P(k)/P0(k) Fi...
arXiv 2023
Show all 69 references
-
[9]
Bennett, G
J.J. Bennett, G. Buldgen, P.F. De Salas, M. Drewes, S. Gariazzo, S. Pastor et al., Towards a precision calculation of Neff in the Standard Model II: Neutrino decoupling in the presence of flavour oscillations and finite-temperature QED , JCAP 04 (2021) 073 [ 2012.02726]
2021 arXiv
-
[10]
Froustey, C
J. Froustey, C. Pitrou and M.C. Volpe, Neutrino decoupling including flavour oscillations and primordial nucleosynthesis, JCAP 12 (2020) 015 [ 2008.01074]
2020 arXiv
-
[11]
Planck collaboration, Planck 2018 results. VI. Cosmological parameters , Astron. Astrophys. 641 (2020) A6 [ 1807.06209]
2020 arXiv
-
[12]
Dodelson and L.M
S. Dodelson and L.M. Widrow, Sterile-neutrinos as dark matter , Phys. Rev. Lett. 72 (1994) 17 [hep-ph/9303287]
1994 arXiv
-
[13]
Burns, T.M.P
A.-K. Burns, T.M.P. Tait and M. Valli, Indications for a Nonzero Lepton Asymmetry from Extremely Metal-Poor Galaxies , Phys. Rev. Lett. 130 (2023) 131001 [ 2206.00693]
2023 arXiv
-
[14]
Lesgourgues, G
J. Lesgourgues, G. Mangano, G. Miele and S. Pastor, Neutrino Cosmology, Cambridge University Press (2, 2013)
2013
-
[15]
Miller et al., Bayesian Galaxy Shape Measurement for Weak Lensing Surveys - III
L. Miller et al., Bayesian Galaxy Shape Measurement for Weak Lensing Surveys - III. Application to the Canada-France-Hawaii Telescope Lensing Survey , Mon. Not. Roy. Astron. Soc. 429 (2013) 2858 [ 1210.8201]
2013 arXiv
-
[16]
eBOSS collaboration, The Completed SDSS-IV Extended Baryon Oscillation Spectroscopic Survey: Baryon Acoustic Oscillations with Ly α Forests, Astrophys. J. 901 (2020) 153 [2007.08995]
2020 arXiv
-
[17]
Vikhlinin et al., Chandra Cluster Cosmology Project II: Samples and X-ray Data Reduction , Astrophys
A. Vikhlinin et al., Chandra Cluster Cosmology Project II: Samples and X-ray Data Reduction , Astrophys. J. 692 (2009) 1033 [ 0805.2207]. – 19 –
2009 arXiv
-
[18]
Costanzi, B
M. Costanzi, B. Sartoris, M. Viel and S. Borgani, Neutrino constraints: what large-scale structure and CMB data are telling us? , JCAP 10 (2014) 081 [ 1407.8338]
2014 arXiv
-
[19]
Amendola et al., Cosmology and fundamental physics with the Euclid satellite , Living Rev
L. Amendola et al., Cosmology and fundamental physics with the Euclid satellite , Living Rev. Rel. 21 (2018) 2 [ 1606.00180]
2018 arXiv
-
[20]
DESI collaboration, The DESI Experiment, a whitepaper for Snowmass 2013 , 1308.0847
2013 arXiv
-
[21]
CORE collaboration, Exploring cosmic origins with CORE: Cosmological parameters , JCAP 04 (2018) 017 [ 1612.00021]
2018 arXiv
-
[22]
Nascimento and M
C.B.d.S. Nascimento and M. Loverde, Neutrinos in N-body simulations , Phys. Rev. D 104 (2021) 043512 [ 2102.05690]
2021 arXiv
-
[23]
Ali-Haimoud and S
Y. Ali-Haimoud and S. Bird, An efficient implementation of massive neutrinos in non-linear structure formation simulations , Mon. Not. Roy. Astron. Soc. 428 (2012) 3375 [ 1209.0461]
2012 arXiv
-
[24]
J.Z. Chen, A. Upadhye and Y.Y.Y. Wong, One line to run them all: SuperEasy massive neutrino linear response in N -body simulations, JCAP 04 (2021) 078 [ 2011.12504]
2021 arXiv
-
[25]
Agarwal and H.A
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]
2011 arXiv
-
[26]
Percival, S
W.J. Percival, S. Cole, D.J. Eisenstein, R.C. Nichol, J.A. Peacock, A.C. Pope et al., Measuring the Baryon Acoustic Oscillation scale using the SDSS and 2dFGRS , Mon. Not. Roy. Astron. Soc. 381 (2007) 1053 [ 0705.3323]
2007 arXiv
-
[27]
BOSS collaboration, The clustering of galaxies in the completed SDSS-III Baryon Oscillation Spectroscopic Survey: Observational systematics and baryon acoustic oscillations in the correlation function, Mon. Not. Roy. Astron. Soc. 464 (2017) 1168 [ 1607.03145]
2017 arXiv
-
[28]
Jing, H.J
Y.P. Jing, H.J. Mo and G. Borner, Spatial correlation function and pairwise velocity dispersion of galaxies: CDM models versus the Las Campanas Survey , Astrophys. J. 494 (1998) 1 [astro-ph/9707106]
1998 arXiv
-
[29]
2dFGRS collaboration, The 2dF Galaxy Redshift Survey: Power-spectrum analysis of the final dataset and cosmological implications , Mon. Not. Roy. Astron. Soc. 362 (2005) 505 [astro-ph/0501174]
2005 arXiv
-
[30]
Zhai, J.L
Z. Zhai, J.L. Tinker, A. Banerjee, J. DeRose, H. Guo, Y.-Y. Mao et al., The Aemulus Project. V. Cosmological Constraint from Small-scale Clustering of BOSS Galaxies , Astrophys. J. 948 (2023) 99 [ 2203.08999]
2023 arXiv
-
[31]
Y.-Z. Ma, M. Li and P. He, Constraining cosmology with pairwise velocity estimator , Astron. Astrophys. 583 (2015) A52 [ 1509.06413]
2015 arXiv
-
[32]
Juszkiewicz, P.G
R. Juszkiewicz, P.G. Ferreira, H.A. Feldman, A.H. Jaffe and M. Davis, Evidence for a low density universe from the relative velocities of galaxies , Science 287 (2000) 109 [astro-ph/0001041]
2000 arXiv
-
[33]
Feldman et al., An estimate of omega m without priors , Astrophys
H.A. Feldman et al., An estimate of omega m without priors , Astrophys. J. Lett. 596 (2003) L131 [astro-ph/0305078]
2003 arXiv
-
[34]
Zhang, M.-c
W. Zhang, M.-c. Chu, S. Liao, S. Yeung and H.-J. Hu, Measuring the Hubble Constant through the Galaxy Pairwise Peculiar Velocity , Astrophys. J. Lett. 978 (2025) L6 [ 2412.04660]
2025 arXiv
-
[35]
Jaber, W.A
M. Jaber, W.A. Hellwing, J.E. Garc ´ ıa-Farieta, S. Gupta and M. Bilicki,Dynamics of pairwise motions in the fully nonlinear regime in LCDM and modified gravity cosmologies , Phys. Rev. D 109 (2024) 123528 [ 2312.00472]
2024 arXiv
-
[36]
Bhattacharya and A
S. Bhattacharya and A. Kosowsky, Cosmological Constraints from Galaxy Cluster Velocity Statistics, Astrophys. J. Lett. 659 (2007) L83 [ astro-ph/0612555]
2007 arXiv
-
[37]
Sheth, The Distribution of pairwise peculiar velocities in the nonlinear regime , Mon
R.K. Sheth, The Distribution of pairwise peculiar velocities in the nonlinear regime , Mon. Not. Roy. Astron. Soc. 279 (1996) 1310 [ astro-ph/9511068]. – 20 –
1996 arXiv
-
[38]
Sheth, L
R.K. Sheth, L. Hui, A. Diaferio and R. Scoccimarro, Linear and nonlinear contributions to pairwise peculiar velocities, Mon. Not. Roy. Astron. Soc. 325 (2001) 1288 [ astro-ph/0009167]
2001 arXiv
-
[39]
H. Mo, Y. Jing and G. B¨ orner, On the pairwise velocity dispersion of galaxies , Mon. Not. Roy. Astron. Soc. 264 (1993) 825
1993
-
[40]
Zhang, M.-c
W. Zhang, M.-c. Chu, R. Hu, S. Liao and S. Yeung, Measuring neutrino mass and asymmetry with matter pairwise velocities , Mon. Not. Roy. Astron. Soc. 529 (2024) 360 [ 2312.04278]
2024 arXiv
-
[41]
W. Cui, S. Borgani, K. Dolag, G. Murante and L. Tornatore, The effects of baryons on the halo mass function , Mon. Not. Roy. Astron. Soc. 423 (2012) 2279 [ 1111.3066]
2012 arXiv
-
[42]
Stanek, D
R. Stanek, D. Rudd and A.E. Evrard, The Effect of Gas Physics on the Halo Mass Function , Mon. Not. Roy. Astron. Soc. 394 (2009) L11 [ 0809.2805]
2009 arXiv
-
[43]
Castorina, E
E. Castorina, E. Sefusatti, R.K. Sheth, F. Villaescusa-Navarro and M. Viel, Cosmology with massive neutrinos II: on the universality of the halo mass function and bias , JCAP 02 (2014) 049 [1311.1212]
2014 arXiv
-
[44]
Kochanek, Dynamical probes of the halo mass function , astro-ph/0108160
C.S. Kochanek, Dynamical probes of the halo mass function , astro-ph/0108160
-
[45]
Zehavi, S.E
I. Zehavi, S.E. Kerby, S. Contreras, E. Jim´ enez, N. Padilla and C.M. Baugh, On the prospect of using the maximum circular velocity of halos to encapsulate assembly bias in the galaxy-halo connection, Astrophys. J. 887 (2019) 17 [ 1907.05424]
2019 arXiv
-
[46]
Gonzalez, K.A
A.H. Gonzalez, K.A. Williams, J.S. Bullock, T.S. Kolatt and J.R. Primack, The velocity function of galaxies , Astrophys. J. 528 (2000) 145 [ astro-ph/9908075]
2000 arXiv
-
[47]
Gariazzo, P.F
S. Gariazzo, P.F. de Salas and S. Pastor, Thermalisation of sterile neutrinos in the early Universe in the 3+1 scheme with full mixing matrix , JCAP 07 (2019) 014 [ 1905.11290]
2019 arXiv
-
[48]
Z. Zeng, S. Yeung and M.-C. Chu, Effects of neutrino mass and asymmetry on cosmological structure formation, JCAP 03 (2019) 015 [ 1808.00357]
2019 arXiv
-
[49]
Springel, The Cosmological simulation code GADGET-2 , Mon
V. Springel, The Cosmological simulation code GADGET-2 , Mon. Not. Roy. Astron. Soc. 364 (2005) 1105 [ astro-ph/0505010]
2005 arXiv
-
[50]
Crocce, S
M. Crocce, S. Pueblas and R. Scoccimarro, Transients from Initial Conditions in Cosmological Simulations, Mon. Not. Roy. Astron. Soc. 373 (2006) 369 [ astro-ph/0606505]
2006 arXiv
-
[51]
Lewis, A
A. Lewis, A. Challinor and A. Lasenby, Efficient computation of CMB anisotropies in closed FR W models, Astrophys. J. 538 (2000) 473 [ astro-ph/9911177]
2000 arXiv
-
[52]
Lewis and S
A. Lewis and S. Bridle, Cosmological parameters from CMB and other data: A Monte Carlo approach, Phys. Rev. D 66 (2002) 103511 [ astro-ph/0205436]
2002 arXiv
-
[53]
Behroozi, R.H
P.S. Behroozi, R.H. Wechsler and H.-Y. Wu, The Rockstar Phase-Space Temporal Halo Finder and the Velocity Offsets of Cluster Cores , Astrophys. J. 762 (2013) 109 [ 1110.4372]
2013 arXiv
-
[54]
Pylians: Python libraries for the analysis of numerical simulations
F. Villaescusa-Navarro, “Pylians: Python libraries for the analysis of numerical simulations.” Astrophysics Source Code Library, record ascl:1811.008, Nov., 2018
2018
-
[55]
Landy and A.S
S.D. Landy and A.S. Szalay, Bias and variance of angular correlation functions , Astrophys. J. 412 (1993) 64
1993
-
[56]
Ferreira, R
P.G. Ferreira, R. Juszkiewicz, H.A. Feldman, M. Davis and A.H. Jaffe, Streaming velocities as a dynamical estimator of omega , Astrophys. J. Lett. 515 (1999) L1 [ astro-ph/9812456]
1999 arXiv
-
[57]
H. Mo, F.C. van den Bosch and S. White, Galaxy Formation and Evolution (2010)
2010
-
[58]
Linder, Cosmic growth history and expansion history , Phys
E.V. Linder, Cosmic growth history and expansion history , Phys. Rev. D 72 (2005) 043529 [astro-ph/0507263]
2005 arXiv
-
[59]
Sheth and G
R.K. Sheth and G. Tormen, Large scale bias and the peak background split , Mon. Not. Roy. Astron. Soc. 308 (1999) 119 [ astro-ph/9901122]. – 21 –
1999 arXiv
-
[60]
Hern´ andez-Aguayo et al.,The MillenniumTNG Project: Impact of massive neutrinos on the cosmic large-scale structure and the distribution of galaxies , 2407.21103
C. Hern´ andez-Aguayo et al.,The MillenniumTNG Project: Impact of massive neutrinos on the cosmic large-scale structure and the distribution of galaxies , 2407.21103
-
[61]
Conroy, R.H
C. Conroy, R.H. Wechsler and A.V. Kravtsov, Modeling luminosity-dependent galaxy clustering through cosmic time , Astrophys. J. 647 (2006) 201 [ astro-ph/0512234]
2006 arXiv
-
[62]
Klypin, S
A. Klypin, S. Trujillo-Gomez and J. Primack, Dark matter halos in the standard cosmological model: results from the Bolshoi simulation , Astrophys. J. 740 (2011) 102 [ 1002.3660]
2011 arXiv
-
[63]
Trujillo-Gomez, A
S. Trujillo-Gomez, A. Klypin, J. Primack and A.J. Romanowsky, Galaxies in LCDM with Halo Abundance Matching: luminosity-velocity relation, baryonic mass-velocity relation, velocity function and clustering , Astrophys. J. 742 (2011) 16 [ 1005.1289]
2011 arXiv
-
[64]
Notari, F
A. Notari, F. Rompineve and G. Villadoro, Improved Hot Dark Matter Bound on the QCD Axion, Phys. Rev. Lett. 131 (2023) 011004 [ 2211.03799]
2023 arXiv
-
[65]
Wong and M.-c
H.W. Wong and M.-c. Chu, Effects of neutrino masses and asymmetries on dark matter halo assembly, JCAP 03 (2022) 066 [ 2109.00303]
2022 arXiv
-
[66]
Hunter, Matplotlib: A 2D Graphics Environment , Computing in Science and Engineering 9 (2007) 90
J.D. Hunter, Matplotlib: A 2D Graphics Environment , Computing in Science and Engineering 9 (2007) 90
2007
-
[67]
Harris et al., Array programming with NumPy, Nature 585 (2020) 357 [ 2006.10256]
C.R. Harris et al., Array programming with NumPy, Nature 585 (2020) 357 [ 2006.10256]
2020 arXiv
-
[68]
Virtanen et al., SciPy 1.0–Fundamental Algorithms for Scientific Computing in Python , Nature Meth
P. Virtanen et al., SciPy 1.0–Fundamental Algorithms for Scientific Computing in Python , Nature Meth. 17 (2020) 261 [ 1907.10121]
2020 arXiv
-
[69]
McKinney, Data Structures for Statistical Computing in Python , 2010, DOI
W. McKinney, Data Structures for Statistical Computing in Python , 2010, DOI. – 22 –
2010
Reviewed August 10, 2026 · model on record in the stance chip above.
Discussion (0). Continue with ORCID to comment.