5 citations
- University of MichiganUS2 papers
- Boston UniversityUS1 paper
- Brera Astronomical ObservatoryIT1 paper
- CEA Paris-SaclayFR1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Centro de Investigación en Materiales AvanzadosMX1 paper
- Centro de Investigaciones Energéticas, Medioambientales y TecnológicasES1 paper
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR1 paper
- Community Science and Data CenterUS1 paper
- Evgeni Kharadze Georgian National Astrophysical ObservatoryGE1 paper
- Fermi National Accelerator LaboratoryUS1 paper
- Ilia State UniversityGE1 paper
6 papers
XTE J1814-338 as a strange star admixed with bosonic dark matter
Shu-Hua Yang, Fridolin Weber
We show that the compact star XTE J1814-338 can be explained as a strange star admixed with self-interacting bosonic dark matter (BDM), provided the dark matter fraction exceeds ap…
Localization of sources in weakly nonlinear fluid systems using linear and quadratic sensitivity analysis
Qi Wang, Zejian You
We develop a framework for localized source detection in dynamical systems governed by nonlinear partial differential equations based on first and second-order sensitivity analysis…
SN 2025ogs: A Spectroscopically-Normal Type Ia Supernova at z = 2 as a Benchmark for Redshift Evolution
M. R. Siebert, J. D. R. Pierel, M. Engesser +20
The Nancy Grace Roman Space Telescope will provide a revolutionary measurement of the Universe's expansion kinematics, driven by dark matter and dark energy, out to .…
Without the Sound Horizon (or Supernovae): A 2% Measurement in DESI DR1
E. A. Zaborowski, P. Taylor, K. Honscheid +58
The sound horizon scale is a key source of information for early-time measurements, and is therefore a common target of new physics proposed to solve the Hubble tension…
KANMixer: a minimal KAN-centered mixer for long-term time series forecasting
Lingyu Jiang, Dengzhe Hou, Yuping Wang +9
Long-term time series forecasting (LTSF) underpins critical applications from energy management to weather prediction, yet achieving reliable multi-step-ahead accuracy remains chal…
animal2vec and MeerKAT: A self-supervised transformer for rare-event raw audio input and a large-scale reference dataset for bioacoustics
Julian C. Schäfer-Zimmermann, Vlad Demartsev, Baptiste Averly +9
Bioacoustic research, vital for understanding animal behavior, conservation, and ecology, faces a monumental challenge: analyzing vast datasets where animal vocalizations are rare.…