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On the use of neural networks for energy reconstruction in high-granularity calorimeters
IOP Institute of Physics | 2021| -
On the Use of Neural Networks for Energy Reconstruction in High-granularity Calorimeters
Free accessArXiv | 2021| -
Perspectives on the Calibration of CNN Energy Reconstruction in Highly Granular Calorimeters
Free accessArXiv | 2021| -
Some test results of an anti-Cherenkov photomultiplier tube
British Library Online Contents | 2012| -
Some test results of an anti-Cherenkov photomultiplier tube
British Library Conference Proceedings | 2012| -
Simultaneously non-linear energy calibration of CMS calorimeters for single pions and electrons
Free accessArXiv | 2001| -
CMS HCAL Testbeam Results and Comparison with GEANT 4 Simulation
British Library Conference Proceedings | 2006| -
Some test results of an anti-Cherenkov photomultiplier tube
Online Contents | 2012|Contributors: Damgov, J. -
Deep learning applications for quality control in particle detector construction
Free accessArXiv | 2022| -
Search for a standard model Higgs boson in CMS via vector boson fusion in the H→WW→lνlν channel
Online Contents | 2007| -
Search for a standard model Higgs boson in CMS via vector boson fusion in the H→WW→lνlν channel
Free accessOnline Contents | 2007| -
Search for a standard model Higgs boson in CMS via vector boson fusion in the H→WW→lνlν channel
Free accessSpringer Verlag | 2007| -
Search for a Standard Model Higgs Boson in CMS via Vector Boson Fusion in the H->WW->l\nu l\nu Channel
Free accessArXiv | 2007| -
Search for a standard model Higgs boson in CMS via vector boson fusion in the H→WW→lνlν channel
British Library Online Contents | 2008|
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