A master screening equation is derived for luminal Horndeski gravity that recovers Vainshtein and Chameleon mechanisms and introduces Phaedrus screening with screening radius scaling linearly with source mass.
Cosmic flows in the nearby universe from Type Ia Supernovae
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abstract
Peculiar velocities are one of the only probes of very large-scale mass density fluctuations in the nearby Universe. We present new "minimal variance" bulk flow measurements based upon the "First Amendment" compilation of 245 Type Ia supernovae (SNe) peculiar velocities and find a bulk flow of 249 +/- 76 km/s in the direction l= 319 +/- 18 deg, b = 7 +/- 14 deg. The SNe bulk flow is consistent with the expectations of \Lambda CDM. However, it is also marginally consistent with the bulk flow of a larger compilation of non-SNe peculiar velocities (Watkins, Feldman, & Hudson 2009). By comparing the SNe peculiar velocities to predictions of the IRAS Point Source Catalog Redshift survey (PSCz) galaxy density field, we find \Omega_{m}^{0.55} \sigma_{8,lin} = 0.40 +/- 0.07, which is in agreement with \Lambda CDM. However, we also show that the PSCz density field fails to account for 150 +/- 43 km/s of the SNe bulk motion.
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AI trained on LambdaCDM simulations reconstructs the cosmic vorticity field from SDSS galaxies, revealing coherent vortical structures consistent with the standard model and correcting redshift-space distortions.
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The review updates the status of multiple cosmological and astrophysical signals that appear inconsistent with LambdaCDM as defined by the Cosmological Principle, General Relativity, and Planck18 parameters.
citing papers explorer
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A Master Equation for Screening in Luminal Horndeski Gravity
A master screening equation is derived for luminal Horndeski gravity that recovers Vainshtein and Chameleon mechanisms and introduces Phaedrus screening with screening radius scaling linearly with source mass.
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Closing the Observational Gap in Cosmic Dynamics: AI-Enabled Reconstruction of the Universe's Vorticity and Rotational Flow Morphology
AI trained on LambdaCDM simulations reconstructs the cosmic vorticity field from SDSS galaxies, revealing coherent vortical structures consistent with the standard model and correcting redshift-space distortions.
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New constraints on cosmic anisotropy from galaxy clusters using an improved dipole fitting method
Galaxy cluster observations yield two preferred directions with cosmic anisotropy amplitude of about 5.3 times 10 to the minus 4 at roughly 1 sigma overall significance, though higher in the XMM-Newton subsample.
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Challenges for $\Lambda$CDM: An update
The review updates the status of multiple cosmological and astrophysical signals that appear inconsistent with LambdaCDM as defined by the Cosmological Principle, General Relativity, and Planck18 parameters.