Λ_s VCDM is a predictive model combining Λ_s CDM with VCDM gravity via an auxiliary scalar field and sigmoid-smoothed potentials to enable stable mirror AdS-to-dS transitions with possible transient acceleration.
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Dalal et al., Hyper Suprime-Cam Year 3 results: Cos- mology from cosmic shear power spectra, Phys
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Full DES data from SN+BAO+3x2pt yields w0=-0.84, wa=-0.44 with 2.2σ deviation from ΛCDM; adding DESI+CMB reaches 3.0σ while 3x2pt improves figure of merit by ~10%.
FRB dispersion is an approximately unbiased tracer of matter on linear scales, enabling direct constraints on the baryonic parameter B8 independently of feedback and with statistical power comparable to weak lensing using far fewer objects.
Relativistic N-body simulations of Lambda_s CDM produce a redshift-dependent crest in the matter power spectrum ratio, peaking at 20-25% near the transition and leaving a 15-20% uplift at z=0 on group scales.
COLA-based hybrid emulator reproduces nonlinear power spectrum boosts in w0wa models to <2% error vs EuclidEmulator2 and produces <0.3σ shifts in LSST-like cosmic shear parameter constraints.
ACT DR6 CMB lensing map gives σ8 = 0.819 ± 0.015 and H0 = 68.3 ± 1.1 km/s/Mpc, consistent with Planck ΛCDM but 1.7-2.1σ higher in S8 than KiDS, DES, and HSC galaxy surveys.
ACT DR6 yields a 2.3% precise CMB lensing power spectrum with A_lens = 1.013 ± 0.023 relative to Planck 2018 Lambda CDM, giving S8 = 0.818 ± 0.022 and no evidence for suppressed structure growth.
Baryonic feedback affects galaxy-galaxy, galaxy-shear, and shear-shear three-point correlation functions more strongly than two-point functions on small scales, reaching up to 90 percent suppression depending on redshift and model parameters.
Hybrid redshift model with postulated quantum correction fits Pantheon+SH0ES data to recover Planck-consistent expansion H_Λ and eliminates apparent drift in inferred Hubble parameter across bins.
The improved Narrow Kernel Approximation fails to match simulation-based covariances for real-space cosmic shear 2PCF under survey masks due to off-diagonal harmonic-space errors, while the weighted quartic-counts method agrees better.
UNIONS r-band data constrains S8 to 0.891^{+0.057}_{-0.084} via 2D harmonic-space cosmic shear, consistent with Planck at 0.79 sigma after modeling baryonic feedback and intrinsic alignments.
Blue galaxy selection in DES Y3 cosmic shear mitigates IA effects, producing stable parameters with 1.5x smaller S8 uncertainty and improved CMB agreement versus the full sample.
AI techniques for photometric redshift estimation have converged and are now limited by the size, systematics, and selection effects in spectroscopic training samples rather than by methodology.
citing papers explorer
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$\Lambda_{\rm s}$CDM cosmology from a type-II minimally modified gravity
Λ_s VCDM is a predictive model combining Λ_s CDM with VCDM gravity via an auxiliary scalar field and sigmoid-smoothed potentials to enable stable mirror AdS-to-dS transitions with possible transient acceleration.
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Constraints on Dynamical Dark Energy from Multiple Probes in the Full Dark Energy Survey
Full DES data from SN+BAO+3x2pt yields w0=-0.84, wa=-0.44 with 2.2σ deviation from ΛCDM; adding DESI+CMB reaches 3.0σ while 3x2pt improves figure of merit by ~10%.
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Fast radio burst dispersion is an unbiased tracer of matter on large scales
FRB dispersion is an approximately unbiased tracer of matter on linear scales, enabling direct constraints on the baryonic parameter B8 independently of feedback and with statistical power comparable to weak lensing using far fewer objects.
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Nonlinear Matter Power Spectrum from relativistic $N$-body Simulations: $\Lambda_{\rm s}$CDM versus $\Lambda$CDM
Relativistic N-body simulations of Lambda_s CDM produce a redshift-dependent crest in the matter power spectrum ratio, peaking at 20-25% near the transition and leaving a 15-20% uplift at z=0 on group scales.
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Modeling nonlinear scales for dynamical dark energy cosmologies with COLA
COLA-based hybrid emulator reproduces nonlinear power spectrum boosts in w0wa models to <2% error vs EuclidEmulator2 and produces <0.3σ shifts in LSST-like cosmic shear parameter constraints.
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The Atacama Cosmology Telescope: DR6 Gravitational Lensing Map and Cosmological Parameters
ACT DR6 CMB lensing map gives σ8 = 0.819 ± 0.015 and H0 = 68.3 ± 1.1 km/s/Mpc, consistent with Planck ΛCDM but 1.7-2.1σ higher in S8 than KiDS, DES, and HSC galaxy surveys.
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The Atacama Cosmology Telescope: A Measurement of the DR6 CMB Lensing Power Spectrum and its Implications for Structure Growth
ACT DR6 yields a 2.3% precise CMB lensing power spectrum with A_lens = 1.013 ± 0.023 relative to Planck 2018 Lambda CDM, giving S8 = 0.818 ± 0.022 and no evidence for suppressed structure growth.
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$4\times3$ Point Correlation Functions in Galaxy Surveys: Impact of Baryonic Feedback
Baryonic feedback affects galaxy-galaxy, galaxy-shear, and shear-shear three-point correlation functions more strongly than two-point functions on small scales, reaching up to 90 percent suppression depending on redshift and model parameters.
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Redshift Duality with Pantheon+SH0ES in a Planck-anchored Flat $\Lambda$CDM Framework: Implications for Hubble Tension and Observational Inference
Hybrid redshift model with postulated quantum correction fits Pantheon+SH0ES data to recover Planck-consistent expansion H_Λ and eliminates apparent drift in inferred Hubble parameter across bins.
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Analytical method for computing the covariance matrix of cosmic shear two-point correlation function
The improved Narrow Kernel Approximation fails to match simulation-based covariances for real-space cosmic shear 2PCF under survey masks due to off-diagonal harmonic-space errors, while the weighted quartic-counts method agrees better.
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UNIONS-3500 Weak Lensing: IV. 2D cosmological constraints in harmonic space
UNIONS r-band data constrains S8 to 0.891^{+0.057}_{-0.084} via 2D harmonic-space cosmic shear, consistent with Planck at 0.79 sigma after modeling baryonic feedback and intrinsic alignments.
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Dark Energy Survey Year 3: Blue Shear
Blue galaxy selection in DES Y3 cosmic shear mitigates IA effects, producing stable parameters with 1.5x smaller S8 uncertainty and improved CMB agreement versus the full sample.
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Machine Learning Techniques for Astrophysics and Cosmology: Photometric Redshifts
AI techniques for photometric redshift estimation have converged and are now limited by the size, systematics, and selection effects in spectroscopic training samples rather than by methodology.