8 research outputs found
Bottomonium spectral widths at nonzero temperature using maximum likelihood
We present progress results from the Fastsum collaboration’s programme to determine the spectrum of the bottomonium system as a function of temperature using a variety of approaches. Inthese proceedings, the Maximum Likelihood approach is used with an Ansatz comprising of a Gaussian spectral function for the ground state. Fastsum anisotropic lattices with 2 + 1 dynamicalquark flavours were used with temperatures ranging from 47 to 375 MeV
Hadrons at high temperature: an update from the FASTSUM collaboration
We present the most recent results from the FASTSUM collaboration for hadron
properties at high temperature. This includes the temperature dependence of the
light and charmed meson and baryon spectrum, as well as properties of heavy
quarkonia. The results are obtained using anisotropic lattices with a fixed
scale approach. We also present the status of our next generation gauge
ensembles.Comment: 8 pages, 8 figures. Contribution to the XVth Quark Confinement and
the Hadron Spectrum, 1-6 August 2022, Stavanger, Norwa
Hadrons at high temperature: An update from the FASTSUM collaboration
We present the most recent results from the FASTSUM collaboration for hadron properties at high temperature. This includes the temperature dependence of the light and charmed meson and baryon spectrum, as well as properties of heavy quarkonia. The results are obtained using anisotropic lattices with a fixed scale approach. We also present the status of our next generation gauge ensembles
A comparison of spectral reconstruction methods applied to non-zero temperature NRQCD meson correlation functions
We present results from the fastsum collaboration’s programme to determine the spectrum of the bottomonium system as a function of temperature. Three different methods of extracting spectral information are discussed: a Maximum Likelihood approach using a Gaussian spectral function for the ground state, the Backus Gilbert method, and the Kernel Ridge Regression machine learning procedure. We employ the fastsum anisotropic lattices with 2+1 dynamical quark flavours, with temperatures ranging from 47 to 375 MeV
A comparison of spectral reconstruction methods applied to non-zero temperature NRQCD meson correlation functions
We present results from the fastsum collaboration’s programme to determine the spectrum of the bottomonium system as a function of temperature. Three different methods of extracting spectral information are discussed: a Maximum Likelihood approach using a Gaussian spectral function for the ground state, the Backus Gilbert method, and the Kernel Ridge Regression machine learning procedure. We employ the fastsum anisotropic lattices with 2+1 dynamical quark flavours, with temperatures ranging from 47 to 375 MeV
Hadrons at high temperature: An update from the FASTSUM collaboration
We present the most recent results from the FASTSUM collaboration for hadron properties at high temperature. This includes the temperature dependence of the light and charmed meson and baryon spectrum, as well as properties of heavy quarkonia. The results are obtained using anisotropic lattices with a fixed scale approach. We also present the status of our next generation gauge ensembles.</jats:p