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Constraints on neutrino physics from DESI DR2 BAO and DR1 full shape

Willem Elbers, Alejandro Avilés, H. E. Noriega, D. Chebat, A. Menegas, Carlos S. Frenk, C. García-Quintero, D. Gonzalez, Mustapha Ishak, O. Lahav, +90 more
7 min read

Read the full paper at DOI or on arxiv

TL;DR

DESI DR2 BAO + Planck+ACT CMB in CDM yields the tightest reported constraint (95%) with .

Briefing

This paper asks how well current large-scale structure (LSS) measurements can constrain neutrino properties—specifically the sum of neutrino masses and the effective number of relativistic species —and whether the resulting cosmological limits are consistent with neutrino oscillation experiments. The question matters because neutrinos are among the few particle-physics inputs that leave measurable imprints on cosmic expansion and structure formation. In the standard cosmological picture, massive neutrinos suppress the growth of structure on small scales through free streaming, while also affecting the late-time expansion history that sets the distances measured by baryon acoustic oscillations (BAO). As cosmological neutrino-mass limits approach the lower bounds implied by oscillations, any mismatch becomes a potential sign of unmodeled systematics or new physics.

The authors combine two complementary DESI analyses: (i) BAO measurements from DESI Data Release 2 (DR2), using over 14 million galaxy/quasar redshifts and 820,000 Lyman-alpha forest spectra (and cross-correlations), covering roughly ; and (ii) a full-shape (FS) analysis of the DESI Data Release 1 (DR1) galaxy/quasar power spectrum multipoles, modeled with the Effective Field Theory of Large Scale Structure (EFT) over in six redshift bins. These LSS data are combined with CMB information from Planck and the Atacama Cosmology Telescope (ACT), including CMB lensing. The inference is performed with Cobaya using Metropolis-Hastings MCMC, with Boltzmann solvers CAMB or CLASS and likelihoods for Planck/ACT. External priors include a BBN prior on the physical baryon density , and Planck-informed priors on the primordial spectral index (either a tight prior or a looser prior). Neutrino oscillation constraints are incorporated via NuFIT 6.0 mass-squared splittings, yielding lower bounds on of for normal ordering (NO) and for inverted ordering (IO).

The baseline cosmological model is CDM with three degenerate massive neutrinos and the physical prior . Under this setup, the main result is a tight upper limit from DESI DR2 BAO + CMB: at 95% confidence, with marginalized uncertainty . The paper also constrains early-universe radiation content, finding (95%), consistent with the Standard Model expectation . When allowing neutrino mass ordering using an oscillation-informed parametrization in terms of the lightest mass , the data prefer the normal ordering with posterior probability (Bayes factor ), and yield (95%) for NO (and for IO).

A central theme is that the posterior for in the baseline analysis peaks at the boundary , and the authors argue this is driven by “prior weight effects” rather than a true preference for zero mass. To quantify the tension with oscillation lower limits, they perform both frequentist profile-likelihood analyses and a more general Bayesian analysis using an effective neutrino mass parameter that can take negative values (implemented consistently at the perturbation level). In the frequentist FeldmanCousins construction (correcting for the physical boundary at zero mass), they obtain a 95% upper limit in CDM, which “breaches” the oscillation lower limit for NO ( ). In the Bayesian framework, they find (68%) for DESI DR2 BAO + baseline CMB, corresponding to a marginalized error and a tension with the oscillation lower limit. The authors emphasize that negative should be interpreted as an effective parameter signaling inconsistency (e.g., systematics or model inadequacy), not as literal negative neutrino energy density.

They also explore how the tension changes with cosmological model flexibility. In a dynamical dark energy model using the CPL parametrization (w0waCDM), the neutrino-mass constraint relaxes substantially: at 95% (and a frequentist upper limit ). This relaxation is interpreted as a consequence of degeneracies between neutrino mass and the late-time expansion history. The paper further notes that the preference for negative is reduced in w0waCDM, and that viable solutions with positive neutrino masses become possible.

Complementing the expansion-history constraints from BAO, the authors use DESI DR1 FS clustering (neutrino free-streaming imprint on the power-spectrum shape) to obtain a complementary limit. Their strongest free-streaming-based constraint in CDM is at 95% (with selected CMB priors). They also diagnose the information source: by modifying the theory so neutrino masses affect only the background expansion (not perturbations), they show the constraint weakens markedly, indicating that the FS analysis is genuinely sensitive to the scale-dependent free-streaming suppression rather than to amplitude or background effects. They further test the role of redshift-space distortions (RSD) and the primordial slope prior , finding that neutrino-mass limits depend strongly on the ability to anchor the power-spectrum shape (especially ), while being less sensitive to amplitude once RSD-related growth information is marginalized.

Limitations include dependence on assumed cosmological models (especially CDM vs w0waCDM), sensitivity to CMB likelihood choices (Planck plik vs CamSpec vs LoLLiPoPHiLLiPoP), and reliance on external priors (BBN , , and sometimes compressed CMB parameter priors). The authors also acknowledge that the negative- preference could reflect unidentified systematics or new physics; they do not claim it is evidence for literal negative neutrino masses. While they validate the BAO methodology with high-fidelity neutrino-targeted mocks (Peregrinus suite), the paper’s tension analysis is still limited by statistical power and by the fact that the DR1 FS + DR2 BAO cross-covariance is not yet available, preventing a fully optimal combined dataset.

Practically, the results are important for cosmology and particle-physics communities because they provide the tightest current astrophysical constraints on neutrino masses and show a level tension with oscillation-based lower bounds under CDM when boundary and prior effects are treated carefully. This suggests either (a) unmodeled systematics (in LSS modeling, CMB likelihoods, or calibration of distance scales), or (b) a need for model extensions such as evolving dark energy or other new physics in the neutrino sector. Researchers planning future DESI analyses (especially DR2 full-shape) should care because the paper indicates where the constraining power comes from (free-streaming shape vs geometric BAO) and how degeneracies with dark energy and CMB parameters can mask or mimic neutrino effects. Finally, the results motivate cross-checks using alternative CMB likelihoods, alternative neutrino parametrizations, and robustness tests against known systematics in BAO and full-shape modeling.

Cornell Notes

Using DESI DR2 BAO combined with Planck+ACT CMB data, the authors obtain a 95% upper limit in CDM and constrain . They further show that, after correcting for physical boundaries and prior-weight effects, the cosmological neutrino-mass constraints are in tension with oscillation lower limits unless evolving dark energy (w0waCDM) is allowed.

What is the core research question of the paper?

How strongly do DESI DR2 BAO (and DESI DR1 full-shape) plus CMB data constrain neutrino properties— and —and are these cosmological constraints consistent with neutrino oscillation lower bounds?

What datasets and redshift ranges are used for the DESI BAO analysis?

DESI DR2 BAO uses over 14 million galaxy/quasar redshifts and 820,000 Lyman-alpha forest spectra, covering approximately , with BAO measurements expressed via , , or depending on tracer and redshift bin.

How is the DESI full-shape (FS) power spectrum modeled?

The DR1 FS analysis uses EFT of Large Scale Structure to model power-spectrum multipoles (monopole and quadrupole) in six redshift bins, fitting scales with nuisance parameters per tracer.

What is the baseline cosmological neutrino-mass constraint in CDM?

For DESI DR2 BAO + baseline CMB, assuming CDM and three degenerate massive neutrinos with , the paper finds (95%) with .

What do the authors find for ?

They obtain (95%) from DESI DR2 BAO + CMB, consistent with the Standard Model value .

How do they incorporate neutrino oscillation information and what is the ordering result?

They use NuFIT 6.0 mass-squared splittings as priors to constrain the lightest neutrino mass . The data prefer normal ordering with (Bayes factor ) and (95%).

Why is there a “neutrino mass tension” in the baseline Bayesian analysis?

The posterior peaks at the prior boundary , and much of the posterior lies below oscillation-implied lower limits. The authors argue this is driven by prior-weight effects and boundary constraints.

What frequentist upper limit do they obtain after correcting for the boundary at zero mass?

Using a FeldmanCousins construction with profile likelihoods, they report (95%) in CDM, which breaches the oscillation lower limit for NO.

What is the key result from the effective neutrino mass parameter analysis?

Allowing an effective parameter to take negative values, they find (68%) with , corresponding to tension with oscillation limits under CDM.

How does allowing evolving dark energy affect the neutrino-mass constraint?

In w0waCDM, the neutrino mass constraint relaxes to (95%), reducing the tension with oscillation constraints.

Review Questions

  1. Explain why BAO measurements alone are largely insensitive to neutrino free streaming, and what additional information (e.g., CMB priors) is needed to constrain .

  2. Describe how prior-weight effects and the physical boundary can distort Bayesian posteriors, and how the FeldmanCousins approach changes the interpretation.

  3. What does the effective neutrino mass parameter accomplish, and why should negative values be interpreted as a diagnostic rather than literal physics?

  4. Summarize the evidence for normal mass ordering and the numerical Bayes factor reported by the authors.

  5. Using the paper’s “neutrinos affect only background” test, argue which part of the FS signal is responsible for neutrino-mass sensitivity.

Key Points

  1. 1

    DESI DR2 BAO + Planck+ACT CMB in CDM yields the tightest reported constraint (95%) with .

  2. 2

    The same baseline combination gives (95%), consistent with the Standard Model .

  3. 3

    When oscillation priors are included, the data prefer normal ordering with and Bayes factor , constraining the lightest mass to (95%).

  4. 4

    After correcting for the boundary, the frequentist FeldmanCousins limit becomes (95%), in tension with oscillation lower bounds.

  5. 5

    In a Bayesian effective-mass framework allowing , they find (68%), implying tension with oscillation constraints under CDM.

  6. 6

    Allowing evolving dark energy (w0waCDM) relaxes the neutrino-mass constraint to (95%), mitigating the tension.

  7. 7

    The DESI full-shape (free-streaming) approach provides a complementary but weaker limit, with the strongest reported (95%) in CDM using selected CMB priors.

Highlights

“Assuming the cosmological CDM model and three degenerate neutrino states, we find (95%).”
“Correcting for the physical boundary at zero mass, we report a 95% Feldman-Cousins upper limit of , breaching the lower limit from neutrino oscillations.”
“In the absence of unknown systematics, this finding could be interpreted as a hint of new physics not necessarily related to neutrinos.”
“In the w0waCDM model, we find (95%), relaxing the neutrino tension.”
“For the first time, we also obtain results for a full-shape power spectrum analysis with effective neutrino masses.”

Topics

  • Cosmological neutrino physics
  • Large-scale structure (LSS) and galaxy clustering
  • Baryon acoustic oscillations (BAO)
  • Full-shape power spectrum inference
  • Effective field theory of large-scale structure (EFT of LSS)
  • Cosmic microwave background (CMB) likelihoods and lensing
  • Neutrino mass ordering and oscillation constraints
  • Model selection and parameter tension metrics
  • Dark energy equation-of-state parametrizations (CPL w0wa)

Mentioned

  • DESI (Dark Energy Spectroscopic Instrument)
  • Cobaya
  • CAMB
  • CLASS
  • getdist
  • Planck
  • ACT (Atacama Cosmology Telescope)
  • EFT of Large Scale Structure modeling pipeline (DESI DR1 FS)
  • RascalC
  • AbacusSummit
  • Peregrinus
  • SWIFT
  • monofonIC
  • HBT+
  • iminuit / Minuit
  • FeldmanCousins construction
  • NuFIT 6.0
  • Willem Elbers
  • Alejandro Avilés
  • H. E. Noriega
  • D. Chebat
  • A. Menegas
  • C. S. Frenk
  • C. Garcia-Quintero
  • M. Ishak
  • O. Lahav
  • D. J. Eisenstein
  • M. Madhavacheril
  • F. J. Qu
  • G. Efstathiou
  • S. Gratton
  • NuFIT 6.0 authors (Esteban et al.)
  • DESI Collaboration (full author list)
  • BAO - Baryon Acoustic Oscillations
  • DESI - Dark Energy Spectroscopic Instrument
  • DR1/DR2 - DESI Data Release 1/2
  • FS - Full shape (power spectrum shape analysis)
  • EFT - Effective Field Theory
  • CMB - Cosmic Microwave Background
  • ACT - Atacama Cosmology Telescope
  • SNe - Type Ia Supernovae
  • RSD - Redshift Space Distortions
  • BBN - Big Bang Nucleosynthesis
  • MCMC - Markov Chain Monte Carlo
  • NO/IO - Normal/Inverted neutrino mass ordering
  • PTE - Probability to Exceed
  • CPL - Chevallier-Polarski-Linder parametrization
  • w0waCDM - CPL evolving dark energy model
  • EFT of LSS - Effective Field Theory of Large Scale Structure
  • HOD - Halo Occupation Distribution
  • H0rd - product of Hubble constant and sound horizon scale
  • \(\sum m_\nu^{\mathrm{eff}}\) - effective cosmological neutrino mass parameter allowing negative values