38 citations
- Rutherford Appleton LaboratoryGB8 papers
- University of GlasgowGB8 papers
- Colorado State UniversityUS7 papers
- Lyon 1 UniversitéFR7 papers
- Maastricht UniversityNL7 papers
- Universität HamburgDE7 papers
- Université Paris-SaclayFR7 papers
- University of BirminghamGB7 papers
- University of CopenhagenDK7 papers
- University of PaduaIT7 papers
- University of SalernoIT7 papers
- University of SannioIT7 papers
41 papers
Excitation and Recombination Data for Nd I-V with Applications to Kilonovae
N. Ferguson, L. P. Mulholland, M. McCann +2
Neodymium (Nd), a key r-process element, significantly influences the opacity and emergent spectra of kilonovae resulting from neutron star mergers. We present new atomic data for…
Generalized Decidability via Brouwer Trees
Tom de Jong, Nicolai Kraus, Aref Mohammadzadeh +1
In the setting of constructive mathematics, we suggest and study a framework for decidability of properties, which allows for finer distinctions than just "decidable, semidecidable…
Narrowband searches for continuous gravitational waves from known pulsars in the first two parts of the fourth LIGO--Virgo--KAGRA observing run
The LIGO Scientific Collaboration, the Virgo Collaboration, the KAGRA Collaboration +1853
Rotating non-axisymmetric neutron stars (NSs) are promising sources for continuous gravitational waves (CWs). Such CWs can, if detected, inform us about the internal structure and…
All-sky, all-frequency directional search for persistent gravitational-waves from Advanced LIGO's and Advanced Virgo's first three observing runs
The LIGO Scientific Collaboration, the Virgo Collaboration, the KAGRA Collaboration +1627
We present the first results from an all-sky all-frequency (ASAF) search for an anisotropic stochastic gravitational-wave background using the data from the first three observing r…
Classifying bioacoustic data without individual call annotations using temporal convolutional networks and feature extractors
Laia Garrobé Fonollosa, Laia Garrobé Fonollosa, Douglas Gillespie +3
Bioacoustic data from Passive Acoustic Monitoring (PAM) generates large datasets where obtaining detailed auditing and labelling is often impractical, resulting in weak annotations…
A Dual-domain Refinement Network with FBP-based Jacobian Learning for Sparse-view Dual-Energy CT Material Decomposition
Qian Liu, Xiaohong Fan, Ke Chen +3
Dual-energy CT (DECT) exploits attenuation differences across different X-ray spectra to provide richer material information and has been widely used in medical imaging. While spar…