Nonlinear dynamics of a U(1)-breaking complex scalar field generates the observed baryon asymmetry from symmetric initial conditions, with late-time charge density scaling as t^{-3/2} via dynamical freeze-in.
Title resolution pending
4 Pith papers cite this work. Polarity classification is still indexing.
citation-role summary
citation-polarity summary
verdicts
UNVERDICTED 4roles
background 1polarities
background 1representative citing papers
Five new HI 21-cm absorption detections in LERGs and HERGs at z<0.5 reveal disturbed gas kinematics with velocity offsets over 350 km/s and a 3% detection rate consistent with lower-redshift samples.
A multi-frame FLRW model for cosmic fluids produces an alternative Hubble parameter consistent with DESI DR2 BAO and CC data up to z<2.33 while providing sufficient time for high-redshift SMBH formation.
The reviewed method generalizes the Cash statistic C_min and likelihood-ratio ΔC to include systematic uncertainties in Poisson data, allowing simultaneous assessment of systematics level and model goodness-of-fit.
citing papers explorer
-
Non-Supersymmetric Baryogenesis from $U(1)$-Breaking Scalar Dynamics
Nonlinear dynamics of a U(1)-breaking complex scalar field generates the observed baryon asymmetry from symmetric initial conditions, with late-time charge density scaling as t^{-3/2} via dynamical freeze-in.
-
HI 21-cm absorption in low- and high-excitation radio-loud AGNs at $z<0.5$ from MALS
Five new HI 21-cm absorption detections in LERGs and HERGs at z<0.5 reveal disturbed gas kinematics with velocity offsets over 350 km/s and a 3% detection rate consistent with lower-redshift samples.
-
An Alternative Hubble parameter: Explaining DESI data and High redshift Supermassive Black Hole
A multi-frame FLRW model for cosmic fluids produces an alternative Hubble parameter consistent with DESI DR2 BAO and CC data up to z<2.33 while providing sufficient time for high-redshift SMBH formation.
-
Review: A new method for estimation and use of systematic errors in Poisson regression
The reviewed method generalizes the Cash statistic C_min and likelihood-ratio ΔC to include systematic uncertainties in Poisson data, allowing simultaneous assessment of systematics level and model goodness-of-fit.