21 citations · 36 across the 5 of their papers we have counts for
5 papers
Overlap-aware segmentation for topological reconstruction of obscured objects
J. Schueler, H. M. Araújo, S. N. Balashov +30
The separation of overlapping objects presents a significant challenge in scientific imaging. While deep learning segmentation-regression algorithms can predict pixel-wise intensit…
Listening for ultra-heavy dark matter with underwater acoustic detectors
Damon Cleaver, Christopher McCabe, Ciaran A. J. O'Hare
Ultra-heavy dark matter candidates evade traditional direct detection experiments due to their low particle flux. We explore the potential of large underwater acoustic arrays, orig…
Neutrinoless Double Beta Decay Sensitivity of the XLZD Rare Event Observatory
XLZD Collaboration, J. Aalbers, K. Abe +441
The XLZD collaboration is developing a two-phase xenon time projection chamber with an active mass of 60 to 80 t capable of probing the remaining WIMP-nucleon interaction parameter…
The XLZD Design Book: Towards the Next-Generation Liquid Xenon Observatory for Dark Matter and Neutrino Physics
XLZD Collaboration, J. Aalbers, K. Abe +441
This report describes the experimental strategy and technologies for XLZD, the next-generation xenon observatory sensitive to dark matter and neutrino physics. In the baseline desi…
Transforming a rare event search into a not-so-rare event search in real-time with deep learning-based object detection
J. Schueler, H. M. Araújo, S. N. Balashov +40
Deep learning-based object detection algorithms enable the simultaneous classification and localization of any number of objects in image data. Many of these algorithms are capable…