15 citations · 20 across the 8 of their papers we have counts for
4 papers · 1 filter
Reducing simulation-related emissions in rare-event searches through optimised event biasing
P. Knights, L. J. Milligan, K. Nikolopoulos
Rare-event search experiments continue to extend their sensitivities to unprecedented levels. This requires increasingly small backgrounds, and shielding schemes that can suppress…
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…
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…
Ionisation quenching factors from W-values in pure gases for rare event searches
Ioannis Katsioulas, Patrick Knights, Konstantinos Nikolopoulos
The effect of ionisation quenching for ions is critical for experiments relying on the measurement of low energy recoils, such as direct Dark Matter searches. We present ionisation…