activity
20232026
most citedOn the degeneracies between baryons, massive neutrinos and f(R) gravity in Stage IV cosmic shear analyses

10 citations · 12 across the 6 of their papers we have counts for

collaborators

7 papers

astro-ph.CO2026

Constraining quantum-gravity predictions for evolving dark energy

M. Tsedrik, B. Bose, L. Marchetti +1

We confront a class of dark-energy equations of state emerging from group field theory (GFT) quantum gravity with DESI Data Release 2 baryon acoustic oscillations and Pantheon+ typ…

astro-ph.CO2026

cloelib: A Flexible Python Library for Computing Cosmological Observables in the Euclid Era

Marco Bonici, Guadalupe Cañas-Herrera, Pedro Carrilho +54

cloelib is a Python library developed to compute cosmological observables within the Cosmology Likelihood for Observables in Euclid (CLOE) ecosystem (cloe-org). As cosmology enters…

astro-ph.CO2025

Evolving and interacting dark energy: photometric and spectroscopic synergy with DES Y3 and DESI DR2

M. Tsedrik, B. Bose

We investigate the Dark Scattering (DS) interacting dark energy scenario, characterised by pure momentum exchange between dark matter and dark energy, combined with a time-dependen…

gr-qc2025★ 1 cited

Stable Islands of Weak Gravity

Linus Thummel, Benjamin Bose, Alkistis Pourtsidou

We present an exploration of the phenomenology of Horndeski gravity, focusing on regimes that produce weak gravity compared to General Relativity. This letter introduces a novel me…

astro-ph.CO2024★ 1 cited

Stage-IV Cosmic Shear with Modified Gravity and Model-independent Screening

Maria Tsedrik, Benjamin Bose, Pedro Carrilho +4

We forecast constraints on minimal model-independent parametrisations of several Modified Gravity theories using mock Stage-IV cosmic shear data. We include nonlinear effects and s…

astro-ph.CO2024

Classifying Modified Gravity and Dark Energy Theories with Bayesian Neural Networks: Massive Neutrinos, Baryonic Feedback, and the Theoretical Error

L. Thummel, B. Bose, A. Pourtsidou +1

We study the capacity of Bayesian Neural Networks (BNNs) to detect new physics in the dark matter power spectrum. As in previous studies, the Bayesian Cosmological Network (BaCoN)…

astro-ph.CO2023★ 10 cited

On the degeneracies between baryons, massive neutrinos and f(R) gravity in Stage IV cosmic shear analyses

A. Spurio Mancini, B. Bose

Modelling nonlinear structure formation is essential for current and forthcoming cosmic shear experiments. We combine the halo model reaction formalism, implemented in the REACT co…