1 citations · 1 across the 6 of their papers we have counts for
6 papers
Photon-triggered jets as probes of multi-stage jet modification
C. Sirimanna, Y. Tachibana, A. Angerami +50
Prompt photons are created in the early stages of heavy ion collisions and traverse the QGP medium without any interaction. Therefore, photon-triggered jets can be used to study th…
Measuring jet quenching with a Bayesian inference analysis of hadron and jet data by JETSCAPE
R. Ehlers, A. Angerami, R. Arora +50
The JETSCAPE Collaboration reports the first multi-messenger study of the QGP jet transport parameter using Bayesian inference, incorporating all available hadron and jet…
3D Multi-system Bayesian Calibration with Energy Conservation to Study Rapidity-dependent Dynamics of Nuclear Collisions
Andi Mankolli, Aaron Angerami, Ritu Arora +48
Considerable information about the early-stage dynamics of heavy-ion collisions is encoded in the rapidity dependence of measurements. To leverage the large amount of experimental…
Taweret: a Python package for Bayesian model mixing
Kevin Ingles, Dananjaya Liyanage, Alexandra C. Semposki +1
Uncertainty quantification using Bayesian methods is a growing area of research. Bayesian model mixing (BMM) is a recent development which combines the predictions from multiple mo…
A multistage framework for studying the evolution of jets and high- probes in small collision systems
Abhijit Majumder, Aaron Angerami, Ritu Arora +48
Understanding the modification of jets and high- probes in small systems requires the integration of soft and hard physics. We present recent developments in extending the JET…
Bayesian calibration of viscous anisotropic hydrodynamic simulations of heavy-ion collisions
Dananjaya Liyanage, Özge Sürer, Matthew Plumlee +2
Due to large pressure gradients at early times, standard hydrodynamic model simulations of relativistic heavy-ion collisions do not become reliable until \,fm/ after the c…