Sökning: "emission spectrum"
Visar resultat 1 - 5 av 71 uppsatser innehållade orden emission spectrum.
1. Fitting a photospheric prompt emission model to GRB data: The Kompaneets RMS approximation (KRA)
Master-uppsats, KTH/FysikSammanfattning : Gamma-ray bursts (GRBs) are some of the most energetic events in the universe. Shocks occurring below the photosphere are likely radiation mediated shocks (RMSs) and are suspected to shape the spectra. Due to computational costs of simulating RMSs, models had not been fitted to data and a faster model was needed. LÄS MER
2. A Machine Learning Approach on Analysis of Emission Spectra for Application in XFEL Experiments
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Institutionen för fysik och astronomiSammanfattning : In this thesis we investigate two potential applications of machine learning in the context of X-ray imaging and spectroscopy of biological samples, particularly such using X-ray free electron lasers (XFEL). We first investigate the possibility of using an emission spectrum, recorded from a sample after being probed by an incident X-ray, as a diagnostic tool. LÄS MER
3. Deriving Spectral Maps from JWST Data : A Study of Enceladus’ Plumes
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This study investigates the presence of water vapor plumes in the region south of Enceladus, a moon in the Saturnian system, through observations conducted by the James Webb Space Telescope. Enceladus is believed to harbor a subsurface ocean or localized water reservoir that gives rise to water geysers, expelling vapor into its tenuous atmosphere and outer space. LÄS MER
4. Generation of attosecond X-ray pulses in free-electron lasers using electron energy modulation and undulator tapering
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/FREIASammanfattning : Free-electron lasers (FELs) are among the world's most intense artificial artificial sources of coherent light and are tunable to various wavelengths, including the X-ray spectrum. X-ray FELs (XFELs) are extremely useful for diffraction experiments to study molecules, materials, and quantum systems. LÄS MER
5. Deep Learning for the prediction of RASER-MRI profiles
Master-uppsats, Linköpings universitet/Medie- och InformationsteknikSammanfattning : Magnetic resonance imaging (MRI) is a critical diagnostic tool in medical practice, enabling non-invasive visualization of anatomy and physiological processes. Nonetheless, MRI has inherent spatial resolution limitations, which may limit its diagnostic capabilities. LÄS MER