Esmail, 2021 - Google Patents
Deep learning for track finding and the reconstruction of excited hyperons in proton induced reactionsEsmail, 2021
View PDF- Document ID
- 14218049398404772024
- Author
- Esmail W
- Publication year
External Links
Snippet
ABSTRACT A powerful tool to study the strong interaction at low energies is the investigation of hyperon production and decay. Therefore, this thesis presents work focused on three topics related to hyperon physics. The first part presents a track finding algorithm for the …
- 238000006243 chemical reaction 0 title 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/02—Computer systems based on biological models using neural network models
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
- G01V5/00—Prospecting or detecting by the use of nuclear radiation, e.g. of natural or induced radioactivity
- G01V5/0008—Detecting hidden objects, e.g. weapons, explosives
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Esmail | Deep learning for track finding and the reconstruction of excited hyperons in proton induced reactions | |
| Esmail et al. | Machine learning for track finding at panda | |
| Zeißner | Development and calibration of an s-tagging algorithm and its application to constrain the CKM matrix elements| V t s| and| V t d| in top-quark decays using ATLAS Run-2 Data | |
| Zoch | Cross-section measurements of top-quark pair production in association with a hard photon at 13 TeV with the ATLAS detector | |
| Runchey | Inclusive jet production in proton-proton and proton-gold collisions at $\sqrt {s} $= 200 GeV | |
| Antipov | Searches for New Physics with Top Quarks in the Final State and Measurement of the Differential Cross-Section of tt-Production in Association with Additional Heavy Flavor Jets | |
| Runchey | Inclusive Jet Production in Proton-Proton and Proton-Gold Collisions at√ s= 200 GeV | |
| Cormier | Search for long-lived particles decaying into displaced hadronic jets in the ATLAS Calorimeter using novel machine learning algorithms | |
| Lin | Search for $ W^{\prime} $ bosons with boosted and hadronic top-quark final states in $ pp $ collisions at $\sqrt {s}= 13$ TeV with the ATLAS detector | |
| Brickwedde | Measurement of the differential Drell-Yan production cross-section and application of deep convolutional neural networks on event images in the context of pileup mitigation | |
| Lin | Search for W’Boson with Boosted and Hadronic Top-Quark Final State in PP Collisions at√ S= 13 TEV with the Atlas Detector | |
| Akbar | Deep Inelastic Lepton-Nucleus Scattering | |
| Sökmen Şahin | Search for the ttHH (bbbb) nonresonant production in the leptonic final states using machine learning techniques at the CMS Experiment | |
| Hayes | Measurements of gluon fusion and vector boson fusion production of the Higgs boson in decays to two W bosons with the ATLAS detector | |
| Narimani Charan | Improved Particle Identification with the Belle II Calorimeter Using Machine Learning | |
| Weißer | Rekonstruktion von dileptonisch zerfallenden Top-Quark-Antiquark-Paaren | |
| Hodkinson | Enhancing the sensitivity of the ATLAS experiment to electroweak supersymmetry | |
| Chávez Raby | Higgs production channel classification in searches for long-lived dark photon jet decays with the ATLAS detector using machine learning | |
| Beaubien | Noise waveform generation using GANs and charged particle identification using pulse shape discrimination in the belle II electromagnetic calorimeter | |
| Mathaha | The use of machine learning in search for new physics at the ATLAS and applications to model COVID-19 | |
| Kospalage | Study of the Decay B±→ K0Sπ±π0 at the Belle Experiment | |
| Hilton | Measurement of the Mixing Parameters of Neutral Charm Mesons and Search For Indirect CP Violation with D 0→ K 0 s π+ π-Decays at LHCB | |
| Wach | Measurement of Branching Fractions and direct CP Violation in B0→ K+ π-and B0→ π+ π-Decays at the Belle II Experiment | |
| Bayat Makou | Search for Higgs boson production in association with b-quarks in final states with leptons with machine learning techniques at CMS | |
| Antipov | Searches for new physics with top quarks in the final state and measurement of the differential cross-section of ttbar production in association with additional heavy flavor jets |