activity
20242026
most citedTesting Quasi-Linear Coasting Cosmologies with Late-Time Large-Scale Structure Growth

1 citations · 1 across the 2 of their papers we have counts for

collaborators

6 papers

astro-ph.CO20261 cited

Testing Quasi-Linear Coasting Cosmologies with Late-Time Large-Scale Structure Growth

Dávid A. Ködmön, Péter Raffai

We derive analytical expressions for the growth factor, , and density-weighted growth rate, , for cosmologies in which at late times. We fit the result…

astro-ph.GA2026

Statistical evidence for massive black hole recoils in active galactic nuclei

Bence Bécsy, Peter Raffai, Zoltán Haiman +2

We search for a population-level signature of gravitational-wave recoiling supermassive black holes: a positive correlation between dust obscuration and the magnitude of the line-o…

astro-ph.CO2026

A Case for an Inhomogeneous Einstein-de Sitter Universe

Peter Raffai, Dominika E. R. Kis, Dávid A. Ködmön +3

We present a local-to-global cosmological framework in which cosmic acceleration emerges from structure formation in an inhomogeneous Einstein-de Sitter (iEdS) universe, without da…

astro-ph.CO2025

Constraints on AvERA Cosmologies from Cosmic Chronometers and Type Ia Supernovae

Adrienn Pataki, Péter Raffai, István Csabai +2

We constrain AvERA cosmologies in comparison with the flat CDM model using cosmic chronometer (CC) data and the Pantheon+ sample of type Ia supernovae (SNe Ia). The analysis in…

astro-ph.GA2025

Utilizing Stellar Mass Estimates to Identify Gravitational Wave Host Galaxies

M. Pálfi, G. Dálya, P. Raffai

Stellar mass can enhance the ranking of potential hosts for compact binary coalescences identified by ground-based gravitational-wave detectors within large localisation areas cont…

astro-ph.CO2024

Cosmic chronometers, Pantheon+ supernovae, and quasars favor coasting cosmologies over the flat CDM model

Peter Raffai, Adrienn Pataki, Rebeka L. Böttger +2

We test and compare coasting cosmological models with curvature parameters in units and the flat CDM model by fitting them to co…