PRONTO

Short Description

One of our main goals is to continue developing gravitational lens–modelling codes designed for high–angular-resolution observations. We are constantly improving our methods by incorporating additional physical effects and applying them to an increasingly wide range of astrophysical problems. At the same time, we use machine-learning techniques to identify and quantify systematic uncertainties in lens modelling and to extract valuable information from large samples of gravitational lens systems. For more details, please see the list of publications below and the link provided here. If you are interested in using the PRONTO software, feel free to get in touch.

Publications on PRONTO development

A self-consistent framework to study magnetic fields with strong gravitational lensing and polarised radio sources. Ndiritu et al. (2025), MNRAS, 538, 671

A novel approach to visibility-space modelling of interferometric gravitational lens observations at high angular resolution. Powell et al. (2021), MNRAS, 501, 515

Resolving on 100 pc scales the UV-continuum in Lyman-α emitters between redshift 2 and 3 with gravitational lensing. Ritondale et al. (2019), MNRAS, 482, 4744

A novel 3D technique to study the kinematics of lensed galaxies. Rizzo et al. (2018), MNRAS, 481, 5606

ALMA imaging of SDP.81 - I. A pixelated reconstruction of the far-infrared continuum emission. Rybak et al. (2015), MNRAS, 415, 40

Bayesian strong gravitational-lens modelling on adaptive grids: objective detection of mass substructure in galaxies. Vegetti & Koopmans (2009), MNRAS, 392, 945