194 citations · 258 across the 9 of their papers we have counts for
9 papers
DoDo Learning: DOmain-DemOgraphic Transfer in Language Models for Detecting Abuse Targeted at Public Figures
Angus R. Williams, Hannah Rose Kirk, Liam Burke +6
Public figures receive a disproportionate amount of abuse on social media, impacting their active participation in public life. Automated systems can identify abuse at scale but la…
Inflation Story: slow-roll and beyond
Dhiraj Kumar Hazra, Daniela Paoletti, Ivan Debono +3
We present constraints on inflationary dynamics and features in the primordial power spectrum of scalar perturbations using the Cosmic Microwave Background temperature, polarizatio…
Probing inflation with large-scale structure data: the contribution of information at small scales
Ivan Debono
Upcoming full-sky large-scale structure surveys such as Euclid can probe the primordial Universe. Using the specifications for the Euclid survey, we estimate the constraints on the…
Constraints on features in the inflationary potential from future Euclid data
Ivan Debono, Dhiraj Kumar Hazra, Arman Shafieloo +2
With Planck cosmic microwave background observations, we established the spectral amplitude and tilt of the primordial power spectrum. Evidence of a red spectral tilt ($n_\mathrm{s…
General Relativity and Cosmology: Unsolved Questions and Future Directions
Ivan Debono, George F. Smoot
For the last 100 years, General Relativity (GR) has taken over the gravitational theory mantle held by Newtonian Gravity for the previous 200 years. This article reviews the status…
21 cm intensity mapping with the Five hundred metre Aperture Spherical Telescope
George F. Smoot, Ivan Debono
This paper describes a programme to map large-scale cosmic structures on the largest possible scales by using the Five hundred metre Aperture Spherical Telescope (FAST) to make a 2…
Dark energy model selection with current and future data
Ivan Debono
The main goal of the next generation of weak lensing probes is to constrain cosmological parameters by measuring the mass distribution and geometry of the low redshift Universe and…
Bayesian model selection for dark energy using weak lensing forecasts
Ivan Debono
The next generation of weak lensing probes can place strong constraints on cosmological parameters by measuring the mass distribution and geometry of the low redshift universe. We…
Weak lensing forecasts for dark energy, neutrinos and initial conditions
Ivan Debono, Anais Rassat, Alexandre Refregier +2
Weak gravitational lensing provides a sensitive probe of cosmology by measuring the mass distribution and the geometry of the low redshift universe. We show how an all-sky weak len…