Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

G Angloher

Showing results (1-10 of 8) with videos related to

Pageof 1
Sort By:
The European Physical Journal. C, Particles and Fields|April 11, 2022
Simulation-based design study for the passive shielding of the COSINUS dark matter experimentG Angloher, I Dafinei, N Di Marco, et al.
Physical Review Letters|July 23, 2016
Limits on Momentum-Dependent Asymmetric Dark Matter with CRESST-IIG Angloher, A Bento, C Bucci, et al.
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.
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.
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.
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.
European Physical Journal Plus|February 6, 2023
Towards an automated data cleaning with deep learning in CRESSTG Angloher, S Banik, D Bartolot, 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 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
The European Physical Journal. C, Particles and Fields|April 11, 2022
Simulation-based design study for the passive shielding of the COSINUS dark matter experimentG Angloher, I Dafinei, N Di Marco, et al.
Physical Review Letters|July 23, 2016
Limits on Momentum-Dependent Asymmetric Dark Matter with CRESST-IIG Angloher, A Bento, C Bucci, et al.
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.
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.
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.
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.
European Physical Journal Plus|February 6, 2023
Towards an automated data cleaning with deep learning in CRESSTG Angloher, S Banik, D Bartolot, 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 1