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Showing results (171-180 of 176) with videos related to

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The European Physical Journal. C, Particles and Fields|November 12, 2019
Geant4-based electromagnetic background model for the CRESST dark matter experimentA H Abdelhameed, G Angloher, P Bauer, et al.
Applied Radiation and Isotopes : Including Data, Instrumentation and Methods for Use in Agriculture, Industry and Medicine|January 25, 2023
Secular equilibrium assessment in a CaWO<sub>4</sub> target crystal from the dark matter experiment CRESST using Bayesian likelihood normalisationG Angloher, S Banik, G Benato, et al.
The European Physical Journal. C, Particles and Fields|January 19, 2026
Particle background characterization and prediction for the NUCLEUS reactor CE <math><mi>ν</mi></math> NS experimentH Abele, G Angloher, B Arnold, et al.
European Physical Journal Plus|February 6, 2023
Towards an automated data cleaning with deep learning in CRESSTG Angloher, S Banik, D Bartolot, et al.
Computing and Software for Big Science|November 14, 2024
Optimal Operation of Cryogenic Calorimeters Through Deep Reinforcement LearningG Angloher, S Banik, G Benato, et al.
Physical Review Letters|June 9, 2023
Observation of a Nuclear Recoil Peak at the 100 eV Scale Induced by Neutron CaptureH Abele, G Angloher, A Bento, et al.
Pageof 18

Showing results (171-180 of 176) with videos related to

Sort By:
Pageof 18
You have reached the last page of results.This site can display upto 176 results.
The European Physical Journal. C, Particles and Fields|November 12, 2019
Geant4-based electromagnetic background model for the CRESST dark matter experimentA H Abdelhameed, G Angloher, P Bauer, et al.
Applied Radiation and Isotopes : Including Data, Instrumentation and Methods for Use in Agriculture, Industry and Medicine|January 25, 2023
Secular equilibrium assessment in a CaWO<sub>4</sub> target crystal from the dark matter experiment CRESST using Bayesian likelihood normalisationG Angloher, S Banik, G Benato, et al.
The European Physical Journal. C, Particles and Fields|January 19, 2026
Particle background characterization and prediction for the NUCLEUS reactor CE <math><mi>ν</mi></math> NS experimentH Abele, G Angloher, B Arnold, et al.
European Physical Journal Plus|February 6, 2023
Towards an automated data cleaning with deep learning in CRESSTG Angloher, S Banik, D Bartolot, et al.
Computing and Software for Big Science|November 14, 2024
Optimal Operation of Cryogenic Calorimeters Through Deep Reinforcement LearningG Angloher, S Banik, G Benato, et al.
Physical Review Letters|June 9, 2023
Observation of a Nuclear Recoil Peak at the 100 eV Scale Induced by Neutron CaptureH Abele, G Angloher, A Bento, et al.
Pageof 18