activity
20172026
most citedInspiraling Halo Accretion Mapped in Lyman- Emission around a Quasar

112 citations · 576 across the 21 of their papers we have counts for

collaborators

35 papers

astro-ph.GA2026

The Quasar Feedback Survey: Ionised Outflows in type 2 QSOs with MUSE data

M. Bianchin, C. M. Harrison, T. Costa +13

We study ionised gas properties in a sample of 18 luminous (log L erg/s) obscured QSOs at 0.085<z<0.2 observed with VLT/MUSE as part of the multi-wavelength Quasa…

astro-ph.GA20262 cited

Stellar feedback SPICEs up [C II] emission in the first galaxies

Aniket Bhagwat, Tiago Costa, Benedetta Ciardi +1

The bright [C II] 158 micron line is widely used to trace star-forming gas and feedback-driven outflows in high-redshift galaxies. Using the SPICE simulations, we investigate how b…

astro-ph.GA2026

Constraining the nature of active galactic nuclei through circumgalactic Lya emission at z=2-3

Shiwu Zhang, Zheng Cai, Fabrizio Arrigoni Battaia +8

We present a comprehensive analysis of circumgalactic Lya nebulae around 59 unobscured and 26 obscured quasars at z=2-3, observed with the Keck Cosmic Web Imager (KCWI), to constra…

astro-ph.GA2025

Testing the AGN unified model with simulated emission lines from the circumgalactic medium (CGM)

Shiwu Zhang, Zheng Cai, Aura Obreja +5

The CGM around unobscured AGN has received much attention in recent years. Comparatively, nebulae associated with obscured AGN are less studied. Here, we simulate the Ly, H,…

astro-ph.GA2025

Submillimeter galaxy overdensities around physically associated quasar pairs

Eileen Herwig, Fabrizio Arrigoni Battaia, Chian-Chou Chen +4

A commonly employed method to detect protoclusters in the young universe is the search for overdensities of massive star forming galaxies, such as submillimeter galaxies (SMGs), ar…

astro-ph.GA2025

Bayesian luminosity function estimation in multi-depth datasets with selection effects: A case study for Lyman emitters

Davide Tornotti, Matteo Fossati, Michele Fumagalli +3

We present a hierarchical Bayesian framework designed to infer the luminosity function of any class of object by jointly modelling data from multiple surveys with varying depth, co…