1 citations · 1 across the 5 of their papers we have counts for
7 papers
Complex Lags from Simple Physics
Benjamin Ricketts, Gregoire Marcel
X-ray timing information produced through Fourier analysis from the variable emission of black hole X-ray binaries has been used for several decades to provide key insights into th…
Emulation of non-linear 1D spectral models: relativistic X-ray reflection
Benjamin J. Ricketts, Tin Hadži Veljković, Daniela Huppenkothen +4
The use of machine learning techniques to approximate computationally expensive models has become increasingly prevalent in a wide variety of fields within astronomy. We discuss th…
Pushing the Limit of Asteroseismic Detection for Cool Dwarfs using TESS and Deep Learning
Waly M Z Karim, Rocio Kiman, Derek Buzasi +6
Asteroseismology provides a powerful probe of stellar interiors by detecting stellar oscillations, including solar-like oscillations, which are stochastically excited by near-surfa…
nDspec: a new Python library for modelling multi-dimensional datasets in X-ray astronomy
Matteo Lucchini, Benjamin Ricketts, Phil Uttley +1
The current fleet of X-ray telescopes produces a wealth of multi-dimensional data, allowing us to study sources in time, photon energy, and polarisation. At the same time, it has b…
Disk warping and black hole X-ray binaries I. Tentative unification of low-frequency quasi-periodic oscillations
Gregoire Marcel, Samuel Turner, Benjamin Ricketts +6
X-ray binaries exhibit complex variability patterns studied in the power-spectrum. These include the broad-band noise (BBN) components and various types of narrow components called…
Equation-of-state-informed pulse profile modeling
Mariska Hoogkamer, Nathan Rutherford, Daniela Huppenkothen +9
NICER has enabled mass-radius inferences for pulsars using pulse profile modeling (PPM), providing constraints on the equation of state (EOS) of cold, dense matter. To date, PPM an…