Info
Basics and Applications in Quantum Optics
| Basics and Applications in Quantum Optics |
| Autore | Bondani Maria |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (120 p.) |
| Soggetto topico |
Physics
Research & information: general |
| Soggetto non controllato |
compressive sensing
conditional states confidence amplification Gao's forgery integrated photonics lossy transmission channels mesoscopic quantum states of light n/a nonclassical photon-number correlations nonclassicality nonlinear interferometer optical cross-talk periodic languages photodetection plenoptic imaging quantum correlations quantum finite automata quantum fisher information quantum imaging quantum message authentication quantum optics quantum simulation quantum state engineering quantum three-pass protocol silicon photomultipliers SPAD arrays spontaneous four-wave mixing swap test |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566469303321 |
Bondani Maria
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Selected Papers from the 19th International Conference on Calorimetry in Particle Physics (CALOR 2022)
| Selected Papers from the 19th International Conference on Calorimetry in Particle Physics (CALOR 2022) |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2023 |
| Descrizione fisica | 1 online resource (356 p.) |
| Soggetto topico |
Physics
Research and information: general |
| Soggetto non controllato |
ADRIANO2
astroparticles ATLAS burn-in calibration calorimeter calorimeter calibration calorimeter performance calorimeter reconstruction calorimeters calorimetry calorimetry for high energy physics ceramics charge transfer luminescence Cherenkov calorimeter Cherenkov light cluster splitting algorithm CMS CNN commissioning compact muon solenoid cosmic rays crystal crystals dark photon deep learning dual calorimetry dual readout detector R&D dual-readout dual-readout calorimetry electromagnetic calorimeter electromagnetic calorimetry electromagnetic showers electronics energy nonlinearity energy reconstruction energy resolution fast timing fast-timing FCC flavour violation forward calorimetry FPGA front-end future colliders gaseous imaging and tracking detectors geant-val Geant4 GNN graph neural network hadron calorimeter hadron calorimetry hadronic calorimeter hadronic interaction HGCAL Higgs factory high energy physics high granularity high granularity calorimetry high luminosity large hadron collider high-granularity image reconstruction intensity frontier irradiation JUNO JUNO-TAO LAr large detector systems for particle and astroparticle physics large hadron collider LHC light yield linear collider liquid argon liquid argon calibration liquid argon detectors liquid scintillator liquified noble gas LYSO machine learning MAPS mechanics MPPC neural network neutrino detectors neutrons optical fibres particle detectors particle flow particle identification PbF2 Phase-1 phase-2 Phase-II upgrade photomultipliers plasma light source PMTs pre-shower proton CT proton tracking protons quality assurance testing radiation hardness radiation-hard detectors reactor neutrinos readout resistive plate chambers resolution scintillating glass scintillation scintillation light scintillators secondary electron emission signal processing signal reconstruction silicon detectors silicon photomultiplier silicon photomultipliers simulation SiPM SiPMs SLR space instrumentation test-beam tile calorimeter Tile Calorimeter TileCal time of flight transformer-coupled buck converters trigger ultrafast calorimetry upgrade γ-ray astronomy |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Selected Papers from the 19th International Conference on Calorimetry in Particle Physics |
| Record Nr. | UNINA-9910743276503321 |
| MDPI - Multidisciplinary Digital Publishing Institute, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||