3 citations · 7 across the 15 of their papers we have counts for
4 papers · 1 filter
Representation learning for fast radio burst dynamic spectra
Dirk Kuiper, Gabriella Contardo, Daniela Huppenkothen +1
Fast radio bursts (FRBs) are millisecond-duration radio transients of extragalactic origin, with diverse time-frequency patterns and emission properties that require explanation. W…
RTFAST-Spectra: Emulation of X-ray reverberation mapping for active galactic nuclei
Benjamin Ricketts, Daniela Huppenkothen, Matteo Lucchini +4
Bayesian analysis has begun to be more widely adopted in X-ray spectroscopy, but it has largely been constrained to relatively simple physical models due to limitations in X-ray mo…
A probe of the maximum energetics of fast radio bursts through a prolific repeating source
O. S. Ould-Boukattine, P. Chawla, J. W. T. Hessels +12
Fast radio bursts (FRBs) are sufficiently energetic to be detectable from luminosity distances up to at least seven billion parsecs (redshift ). Probing the maximum energies…
FlopPITy: Enabling self-consistent exoplanet atmospheric retrievals with machine learning
Francisco Ardévol Martínez, Michiel Min, Daniela Huppenkothen +2
Interpreting the observations of exoplanet atmospheres to constrain physical and chemical properties is typically done using Bayesian retrieval techniques. Because these methods re…