14 citations · 21 across the 16 of their papers we have counts for
17 papers
High performance Stingray
Eleonora Veronica Lai, Matteo Bachetti, Maura Pilia +4
X-ray astrophysical objects show variability on a wide range of timescales, i.e. from fractions of second to years. The open-source Python library stingray is able to perform time…
A NICER view of PSR J16142230: a massive and compact millisecond pulsar
Lucien Mauviard, Sebastien Guillot, Lami Suleiman +17
Using pulse profile modeling, we obtain the mass-radius measurement of a millisecond pulsar (MSP) with data from the Neutron Star Interior Composition ExploreR, XMM-Newton and the…
Fast Inference on Astronomical Time Series with Trans-Dimensional Flow Matching Posterior Estimation
Nina van der Meulen, Tin Hadži Veljković, Daniela Huppenkothen +2
The analysis of time series plays an important part in the study of (fast) transient events, including gamma-ray bursts, magnetar bursts, fast radio bursts, and solar flares. A com…
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…
A NICER view of the millisecond pulsar PSR J21243358: evidence for a helium atmosphere
Denis González-Caniulef, Sebastien Guillot, Pierre Stammler +12
Pulse profile modeling has proven to be a powerful technique for determining the mass and radius of neutron stars. To date, this method has been applied to a handful of millisecond…
The statistical properties of the cross spectrum
Edward J. R. Nathan, Adam Ingram, Daniela Huppenkothen +2
The cross spectrum encodes the correlated variability between two time signals. In recent years, the cross spectrum has been used to study astronomical sources, particularly in the…
A NICER View of PSR J0030+0451: Updated Constraints from Six Years of NICER Observations
Yves Kini, Lucien Mauviard, Tuomo Salmi +13
Pulse-profile modeling of rotation-powered millisecond pulsars targeted by NICER has enabled mass--radius constraints of several neutron star sources, with implications for the den…
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…
Modeling X-ray photon pile-up with a normalizing flow
Ole König, Daniela Huppenkothen, Douglas Finkbeiner +5
The dynamic range of imaging detectors flown on-board X-ray observatories often only covers a limited flux range of extrasolar X-ray sources. The analysis of bright X-ray sources i…
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…
Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers
D. Huppenkothen, M. Ntampaka, M. Ho +19
Machine learning has rapidly become a tool of choice for the astronomical community. It is being applied across a wide range of wavelengths and problems, from the classification of…
Fourier Domain
Matteo Bachetti, Daniela Huppenkothen
The changes in brightness of an astronomical source as a function of time are key probes into that source's physics. Periodic and quasi-periodic signals are indicators of fundament…
Astro2020 Science White Paper: The Next Decade of Astroinformatics and Astrostatistics
A. Siemiginowska, G. Eadie, I. Czekala +49
Over the past century, major advances in astronomy and astrophysics have been largely driven by improvements in instrumentation and data collection. With the amassing of high quali…
On the Statistical Properties of Cospectra
D. Huppenkothen, M. Bachetti
In recent years, the cross spectrum has received considerable attention as a means of characterising the variability of astronomical sources as a function of wavelength. While much…