6 papers
Response of a nitrogen-filled spherical proportional counter to mono-energetic neutrons
T. Avgitas, M. Axiotis, Z. Balmforth +16
Neutron spectroscopy is an invaluable tool for a wide range of scientific and industrial applications, however, current approaches suffer from limitations that restrict their field…
Optical effects in Gaseous Electron Multipliers (GEMs)
D. Edgeman, F. M. Brunbauer, M. Gardner +9
Optical time projection chambers (OTPCs) are well suited for applications that require the highest spatial resolution for particle track reconstruction. The MIGDAL experiment uses…
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…
The ionization yield in a methane-filled spherical proportional counter
M. M. Arora, L. Balogh, C. Beaufort +40
Spherical proportional counters (SPCs) are gaseous particle detectors sensitive to single ionization electrons in their target media, with large detector volumes and low background…
Search for Light Dark Matter with NEWS-G at the Laboratoire Souterrain de Modane Using a Methane Target
M. M. Arora, L. Balogh, C. Beaufort +40
The NEWS-G direct detection experiment uses spherical proportional counters to search for light dark matter candidates. New results from a 10 day physics run with a $135\,\mathrm{c…
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…