Sökning: "energy signature"
Visar resultat 26 - 30 av 45 uppsatser innehållade orden energy signature.
26. Searching for doubly charged Higgs bosons using same-sign hadronic tau final states - A focused study on the charge-flip background of hadronic taus
Master-uppsats, Lunds universitet/Partikel- och kärnfysik; Lunds universitet/Fysiska institutionenSammanfattning : The search for doubly charged Higgs bosons (H±±) aims at resolving the mass generation mechanism of neutrinos in the Standard Model. The current search by the ATLAS Same-Sign Dilepton group uses the decay product of H±± to a pair of same-sign hadronic τ-leptons, which is an extension of their previous search using same-sign dielectrons and dimuons. LÄS MER
27. Analysing Raman spectra of crystalline cellulose degradation by fungi using artificial neural networks
Kandidat-uppsats, Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation; Lunds universitet/Institutionen för astronomi och teoretisk fysik - Genomgår omorganisationSammanfattning : This thesis investigates the use of artificial neural networks for classifying Raman spectra of partially degraded cellulose samples by fungal species. A multilayer perceptron configuration of 4 hidden layers and 128 hidden nodes was able to classify a set of 60 samples with an overall prediction accuracy of 0.55. LÄS MER
28. Measurement of particle yields induced by 200-MeV protons on multiple targets
Kandidat-uppsats, Lunds universitet/Kärnfysik; Lunds universitet/Fysiska institutionenSammanfattning : One way to probe the structure of atomic nuclei far from stability is via quasi-free scattering (QFS) reactions. We conducted a (p,2p) QFS experiment on H2O, 112Sn, 124Sn and 208Pb targets in order to test the performance of CsI(Tl) detectors that are to be used in the upcoming R3B experiments at FAIR. LÄS MER
29. Search for High-Mass Dijet Resonances Decaying into Top Quark Pairs using Machine Learning Techniques in the ATLAS Experiment
Master-uppsats, Lunds universitet/Partikel- och kärnfysik; Lunds universitet/Fysiska institutionenSammanfattning : This thesis presents an application of machine learning techniques in a search for a high-mass resonance particle decaying into top quark pairs in high energy dijet events using the ATLAS experiment at the Large Hadron Collider. Top tagging is applied to the dijet events to select the events with top signature and suppress the background, increasing the sensitivity of the search. LÄS MER
30. Implementation of a Water Flow Sensor Node and Energy Evaluation of 2G Transmission Strategies
M1-uppsats, Linköpings universitet/Institutionen för datavetenskapSammanfattning : In this report, the design choices made during the making of a water flow measuring sensor node are described and discussed to various extents. The node is to ultimately be deployed in South Sudan to monitor mini-water yards managed by the International Aid Services. LÄS MER