An iterative AI reasoning process proposes new dynamical dark energy equations of state that are competitive with traditional forms on supernova, BAO, and Planck data.
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Including dark-energy perturbations shifts cosmological neutrino-mass constraints toward smaller effective masses, making the dynamical-dark-energy alleviation of the neutrino-mass tension non-generic.
PHANTOM is a public MATLAB/Octave toolbox for linear field statistics and halo observables in dark matter cosmology, validated to sub-percent agreement with Python packages colossus, hmf, and halomod.
No CMB-consistent CPL dark energy model can simultaneously fit both the BAOtr and DESI datasets; the 3.7-sigma disagreement at z=0.51 sets an irreducible floor.
BayeSN analysis of ZTF Type Ia supernovae confirms a ~0.1 mag intrinsic environmental step in standardized brightness that is not explained by differences in dust extinction properties.
A coordinated Rubin-DESI supernova survey could distinguish dynamical dark energy from Lambda CDM at over 5 sigma in one year using 2300 spectroscopically confirmed SNe Ia at low redshift.
Bayesian evidence prefers a low-redshift supernova magnitude offset over dynamical dark energy when DES-5Y is combined with DESI BAO, but only under the assumption that Lambda CDM is correct.
Underdamped dark-energy oscillator fits to DESI+DESY5/Union3 give H0≈71–72 km/s/Mpc, cutting SH0ES tension to ~1.5σ at no Bayesian cost versus ΛCDM.
DESI BAO+CMB yielding a positive present-day deceleration parameter q0≈0.10 (vs SDSS's q0≈−0.22) is explained by DESI's higher lowest effective redshift (0.295 vs 0.15), not by new physics.
Applying a swampland-motivated lower bound on the dark-energy potential slope to curved quintessence shifts the inferred spatial curvature Ωk from near zero to about +0.0025, a mild and not statistically significant preference for an open universe.
Forecasts show that ~66 optical GRBs can achieve σ_w ≈ 0.47 in wCDM using Dainotti relations, matching Planck precision and enabling independent high-redshift tests of dark energy.
Dark matter is composed of composite quark-antiquark objects stabilized by axion domain walls, offering a unified account of dark matter and baryon asymmetry.
KiDS-Legacy cosmic shear plus external probes yields S8 = 0.816 ± 0.006 in Lambda-CDM and consistent bounds on w0, wa, sum m_nu and Omega_K with no strong preference for extensions.
Bayesian constraints on seven w(a) parameterizations with CMB+BAO+SNIa datasets favor the logarithmic model over LambdaCDM in several combinations and show modest sigma8 relief.
Effective phantom dark energy is a background-level reconstruction that does not imply fundamental pathologies such as ghost instabilities or null energy condition violation by the underlying stress tensor.
Observational constraints on a dark energy EoS parametrization in curved spacetime yield α ≈ 0.35 (0.56) and Ω_k0 that changes sign with ANN data reconstruction.
A review summarizing direct and auxiliary large-scale structure probes for constraining dark energy and demonstrating their combined precision and accuracy.
A review of string-inspired dynamical dark energy models claiming compatibility with DESI's hints of evolving dark energy under swampland constraints.
citing papers explorer
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Physics-guided discovery of dynamical dark-energy equations of state through iterative AI reasoning
An iterative AI reasoning process proposes new dynamical dark energy equations of state that are competitive with traditional forms on supernova, BAO, and Planck data.
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Dark energy perturbations and the robustness of cosmological neutrino-mass constraints
Including dark-energy perturbations shifts cosmological neutrino-mass constraints toward smaller effective masses, making the dynamical-dark-energy alleviation of the neutrino-mass tension non-generic.
-
PHANTOM: A MATLAB and Octave Toolbox Connecting Linear Field Statistics to Dark Matter Halo Observables
PHANTOM is a public MATLAB/Octave toolbox for linear field statistics and halo observables in dark matter cosmology, validated to sub-percent agreement with Python packages colossus, hmf, and halomod.
-
On the origin of the BAOtr-DESI tension
No CMB-consistent CPL dark energy model can simultaneously fit both the BAOtr and DESI datasets; the 3.7-sigma disagreement at z=0.51 sets an irreducible floor.
-
On the origin of the environmental step: A BayeSN view of the ZTF SN Ia DR2
BayeSN analysis of ZTF Type Ia supernovae confirms a ~0.1 mag intrinsic environmental step in standardized brightness that is not explained by differences in dust extinction properties.
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Testing $\Lambda$CDM versus dynamical dark energy in one year: A DESI spectroscopic follow-up program for Rubin supernovae
A coordinated Rubin-DESI supernova survey could distinguish dynamical dark energy from Lambda CDM at over 5 sigma in one year using 2300 spectroscopically confirmed SNe Ia at low redshift.
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Dynamic or Systematic? Bayesian model selection between dark energy and supernova biases
Bayesian evidence prefers a low-redshift supernova magnitude offset over dynamical dark energy when DES-5Y is combined with DESI BAO, but only under the assumption that Lambda CDM is correct.
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Does DESI prefer Damped Oscillating Dark Energy over Cosmological constant?
Underdamped dark-energy oscillator fits to DESI+DESY5/Union3 give H0≈71–72 km/s/Mpc, cutting SH0ES tension to ~1.5σ at no Bayesian cost versus ΛCDM.
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Present Day Cosmic Acceleration from SDSS and DESI BAO: A Call for Finer Tomography of the DESI Bright Galaxy Survey
DESI BAO+CMB yielding a positive present-day deceleration parameter q0≈0.10 (vs SDSS's q0≈−0.22) is explained by DESI's higher lowest effective redshift (0.295 vs 0.15), not by new physics.
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Constraining Spatial Curvature with Priors from Swampland Conjectures
Applying a swampland-motivated lower bound on the dark-energy potential slope to curved quintessence shifts the inferred spatial curvature Ωk from near zero to about +0.0025, a mild and not statistically significant preference for an open universe.
-
Gamma-Ray Bursts as an Independent High-Redshift Probe of Dark Energy
Forecasts show that ~66 optical GRBs can achieve σ_w ≈ 0.47 in wCDM using Dainotti relations, matching Planck precision and enabling independent high-redshift tests of dark energy.
-
QCD-driven dark matter: AQNs formation and observational tests
Dark matter is composed of composite quark-antiquark objects stabilized by axion domain walls, offering a unified account of dark matter and baryon asymmetry.
-
KiDS-Legacy: Constraining dark energy, neutrino mass, and curvature
KiDS-Legacy cosmic shear plus external probes yields S8 = 0.816 ± 0.006 in Lambda-CDM and consistent bounds on w0, wa, sum m_nu and Omega_K with no strong preference for extensions.
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Constraints of dynamical dark energy models from different observational datasets
Bayesian constraints on seven w(a) parameterizations with CMB+BAO+SNIa datasets favor the logarithmic model over LambdaCDM in several combinations and show modest sigma8 relief.
-
Effective Phantom Dark Energy: What Cosmological Reconstruction Does and Does Not Imply
Effective phantom dark energy is a background-level reconstruction that does not imply fundamental pathologies such as ghost instabilities or null energy condition violation by the underlying stress tensor.
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Constraining Dark Energy Dynamics in Curved Spacetime with Current Observations
Observational constraints on a dark energy EoS parametrization in curved spacetime yield α ≈ 0.35 (0.56) and Ω_k0 that changes sign with ANN data reconstruction.
-
The large scale structure probes of dark energy
A review summarizing direct and auxiliary large-scale structure probes for constraining dark energy and demonstrating their combined precision and accuracy.
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Breaking Free from the Swampland of Impossible Universes through the DESI Portal
A review of string-inspired dynamical dark energy models claiming compatibility with DESI's hints of evolving dark energy under swampland constraints.