19–20 de junio de 2025
Edificio Histórico de la Universidad de Oviedo
Europe/Madrid zona horaria

Signal Drop in Mass Density Profiles: Combining Lensing Simulations and Observations

20 jun 2025, 10:05
15m
Aula de Grados (Facultad de Geología)

Aula de Grados

Facultad de Geología

Ponente

David Crespo Iglesias (Universidad de Oviedo)

Descripción

Gravitational lensing magnification bias is a valuable tool for studying mass density profiles, with submillimetre galaxies (SMGs) serving as ideal background sources. The satellite distribution in galaxy clusters also provides insights into their mass distribution. This study aims to investigate the signal drop in mass density profiles from magnification bias measurements, assessing the role of satellite galaxies through observational data and lensing simulations. Using a stacking technique, we analyze the radial distribution of satellites in clusters from the Zou et al. (2021, 2022) catalog and measure the magnification bias on background SMGs via angular cross-correlations. A gravitational lensing simulator aids in interpreting the results. Our analysis confirms that satellite distributions align with a Navarro-Frenk-White profile on large scales. However, a signal
drop at ∼10 arcseconds suggests strong lensing effects from massive central galaxies or interacting groups. The study provides new insights into the mass density profiles derived from gravitational lensing and their relation to satellite distributions within galaxy clusters. The introduction of a gravitational lensing simulator helps to explain the emergence of an “Einstein Gap” induced by strong lensing effects that suppresses the expected signal. These findings provide a deeper understanding of how satellite galaxies influence gravitational lensing and offer a framework for improving mass density profile estimations in future studies

Autores primarios

David Crespo Iglesias (Universidad de Oviedo) Joaquín González-Nuevo (ICTEA/Universidad de Oviedo) Laura Bonavera (ICTEA - universidad de Oviedo) Rebeca Fernández Fernández (Universidad de Oviedo)

Materiales de la presentación