72 citations · 156 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…
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…
The MIGDAL experiment: Measuring a rare atomic process to aid the search for dark matter
H. M. Araújo, S. N. Balashov, J. E. Borg +33
We present the Migdal In Galactic Dark mAtter expLoration (MIGDAL) experiment aiming at the unambiguous observation and study of the so-called Migdal effect induced by fast-neutron…
The Compact Linear ee Collider (CLIC): Physics Potential
P. Roloff, R. Franceschini, U. Schnoor +1
The Compact Linear Collider, CLIC, is a proposed ee collider at the TeV scale whose physics potential ranges from high-precision measurements to extensive direct sensitivit…
Updated baseline for a staged Compact Linear Collider
The CLIC, CLICdp collaborations, : +515
The Compact Linear Collider (CLIC) is a multi-TeV high-luminosity linear e+e- collider under development. For an optimal exploitation of its physics potential, CLIC is foreseen to…