From the 1 of 10 linked papers with an AI index.
10 papers
Dynamical modelling of giant radio quasars in the HETDEX Spring Field
T. M. O. Franzen, J. Machalski, M. Jamrozy +4
The paper analyses the radio morphology and spectra of 15 giant radio quasars in the HETDEX Spring Field and fits dynamical evolution models to estimate their ages, jet powers, and…
Community detection in subject-subject networks from psychometrics data
Arianna Armanetti, Luca Cecchetti, Eiko Fried +2
Identifying subgroups of respondents in psychometric data is traditionally addressed with Latent Class Analysis, which requires the number of classes to be specified a priori and c…
Constraining gamma-ray burst parameters with the first ultra-high energy neutrino event KM3-230213A
KM3NeT Collaboration, O. Adriani, A. Albert +278
Context: The detection of the highest energy neutrino observed to date by KM3NeT, with an estimated energy of 220 PeV, opens up new possibilities for the study and identification o…
Improving Accretion Diagnostics for Young Stellar Objects with Mid-infrared Hydrogen lines from JWST/MIRI
B Shridharan, P Manoj, Vinod Chandra Pathak +10
We present a comprehensive study of mid-infrared neutral hydrogen (H~\textsc{i}) emission lines in 79 nearby (d 200 ) young stars using JWST/MIRI. We aim to identify mid-in…
Machine learning with minimal use of quantum computers: Provable advantages in Learning Under Quantum Privileged Information (LUQPI)
Vasily Bokov, Lisa Kohl, Sebastian Schmitt +1
Quantum machine learning (QML) is often listed as a promising candidate for useful applications of quantum computers, in part due to numerous proofs of possible quantum advantages.…
Optimizing the potential of KM3NeT in detecting core-collapse supernovae
KM3NeT Collaboration, O. Adriani, A. Albert +285
Core-collapse supernovae mark the end of life of massive stars. However, despite their importance in astrophysics, their underlying mechanisms remain unclear. Neutrinos that emerge…