Sökning: "Partikel filter"

Visar resultat 1 - 5 av 15 uppsatser innehållade orden Partikel filter.

  1. 1. Validation of simulation with enhanced kaon production to investigate kaon background for LDMX

    Master-uppsats, Lunds universitet/Partikel- och kärnfysik; Lunds universitet/Fysiska institutionen

    Författare :Lisa Andersson Loman; [2023]
    Nyckelord :Dark matter; experimental physics; simulations; kaons; particle physics; LDMX; background studies; mörk materia; partikelfysik; kaoner; Physics and Astronomy;

    Sammanfattning : Dark matter is one of our universe’s largest mysteries and very little is known about what it is. One of the dominating theories, that it originates from an early universe thermal relic, indicates that it has interaction with the Standard Model. LÄS MER

  3. 2. KL/TV Reshuffling : Statistical Distance Based Offspring Selection in SMC Methods

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Oskar Kviman; [2022]
    Nyckelord :;

    Sammanfattning : Over the years sequential Monte Carlo (SMC), and, equivalently, particle filter (PF) theory has enjoyed much attention from researchers. However, the intensity of developing innovative resampling methods, also known as offspring selection methods, has long been declining, with most of the popular schemes aging back two decades. LÄS MER

  4. 3. Autoencoder Compression in High Energy Physics

    Master-uppsats, Lunds universitet/Partikel- och kärnfysik; Lunds universitet/Fysiska institutionen; Lunds universitet/Lunds Tekniska Högskola

    Författare :Sten Åstrand; [2022]
    Nyckelord :High energy physics; LHC; ATLAS; hadron jet; machine learning; autoencoder; dimensionality reduction; artificial intelligence; data compression; Physics and Astronomy;

    Sammanfattning : Situated in Geneva, Switzerland, the Large Hadron Collider is largest particle accelerator in the world, and as such, its operation carries with it some of the greatest technical challenges ever faced. Among them are the huge demands put on data storage capacity by experiments in particle physics, both in terms of rate and volume of data. LÄS MER

  5. 4. Underwater Rao-Blackwellized Particle Filter SLAM using Stochastic Variational Gaussian Processes maps

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Stine Olsson; [2021]
    Nyckelord :AUV; RBPF; SVGP; SLAM; MBES; AUV; RBPF; SVGP; SLAM; MBES;

    Sammanfattning : In this thesis, we introduce a Rao-Blackwellized Particle Filter (RBPF) for the algorithm Simultaneously Localizing and Mapping (SLAM) to be used on an Autonomous Underwater Vehicle (AUV) with a Stochastic Variational Gaussian Process (SVGP) algorithm. With a positive result, the combination was proven to be working. LÄS MER

  7. 5. Finding the most suitable auxiliary sonar for terrain-aided navigation and behavior-fusion based obstacle avoidance for an autonomous underwater vehicle

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :NILAS OSTERMAN; [2019]
    Nyckelord :;

    Sammanfattning : Autonomous underwater vehicles are rapidly becoming more common and developed for both military as well as civilian applications such as; mine countermeasures or in the field of geoscience. One of the main issues these vehicles are facing today is the navigation capability. LÄS MER