activity
20022026
most citedA simple model for the evolution of the dust population in protoplanetary disks

864 citations · 8k across the 144 of their papers we have counts for

collaborators

147 papers

astro-ph.SR2026

X-shooter survey Across Regions and Ages to probe Disk Evolution (ARADE): Accretion properties in Orion A and their relation with disk masses

Lara Piscarreta, Giacomo Beccari, Carlo Manara +10

We present a homogeneous VLT/X-Shooter study of accretion in young stellar objects spanning the entire Orion A complex. Our sample includes 91 pre-main-sequence stars hosting a pro…

astro-ph.EP2026

The dispersal of compact protoplanetary discs

Giovanni Picogna, Barbara Ercolano

Compact protoplanetary discs are becoming increasingly prominent in observations. Their dispersal pathways may differ substantially from those of extended discs. We aim to quantify…

astro-ph.EP2026

Can photoevaporation open gaps in protoplanetary discs?

Michael L. Weber, Barbara Ercolano, Giovanni Picogna

We investigate whether photoevaporation alone can open and sustain gaps in protoplanetary discs by coupling the evolving disc structure with the photoevaporative flow in two dimens…

astro-ph.EP2025

Global Hall-magnetohydrodynamic simulations of transition disks

Eleftheria Sarafidou, Oliver Gressel, Barbara Ercolano

Context. Transition disks (TDs) are a type of protoplanetary disk characterized by a central dust and gas cavity. The processes behind how these cavities are formed and maintained,…

astro-ph.EP2024★ 31 cited

Photoevaporation of protoplanetary discs with PLUTO+PRIZMO I. Lower X-ray-driven mass-loss rates due to enhanced cooling

Andrew D. Sellek, Tommaso Grassi, Giovanni Picogna +3

Context: Photoevaporation is an important process for protoplanetary disc dispersal but there has so far been a lack of consensus from simulations over the mass-loss rates and the…

astro-ph.EP2024

Approximating Rayleigh Scattering in Exoplanetary Atmospheres using Physics-informed Neural Networks (PINNs)

David Dahlbüdding, Karan Molaverdikhani, Barbara Ercolano +1

This research introduces an innovative application of physics-informed neural networks (PINNs) to tackle the intricate challenges of radiative transfer (RT) modeling in exoplanetar…