Finite temperature hadronic spectral properties

The FASTSUM collaboration has a long-standing project examining hadronic properties using anisotropic lattice QCD. We determine the spectral properties of bottomonia at finite temperature using lattice NRQCD and describe how our newer simulations improve our control over systematic errors. Motivated by these efforts, the temperature dependence of charm hadron masses is determined where it is found that temperature effects can extend into the confining phase and that some species remain stable deep past the pseudo-critical temperature.

Authors

Publication Details

Published
2025-10-24
DOI
https://doi.org/10.22323/1.483.0161
Primary Topic
High-Energy Particle Collisions Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Finite temperature hadronic spectral properties

Maria Paola Lombardo, Chris Allton, Gert Aarts, Ryan Bignell et al.
High-Energy Particle Collisions Research
article

Finite temperature hadronic spectral properties

Maria Paola Lombardo, Chris Allton, Gert Aarts, Ryan Bignell, Jon-Ivar Skullerud, Sinéad M. Ryan, Rachel Horohan D'arcy, Antonio Smecca, Timothy J. Burns, Seyong Kim, Benjamin Jäger, M. Naeem Anwar
article en

Abstract

The FASTSUM collaboration has a long-standing project examining hadronic properties using anisotropic lattice QCD. We determine the spectral properties of bottomonia at finite temperature using lattice NRQCD and describe how our newer simulations improve our control over systematic errors. Motivated by these efforts, the temperature dependence of charm hadron masses is determined where it is found that temperature effects can extend into the confining phase and that some species remain stable deep past the pseudo-critical temperature.

UK Research and Innovation, University of Leicester, Science Foundation Ireland, Partnership for Advanced Computing in Europe AISBL, Science and Technology Facilities Council, European Regional Development Fund
Openalex Percentile: Top 86%
High-Energy Particle Collisions Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.