Introduction to HPC
An introductory course on using Yale’s High Performance Computing (HPC) resources
An introductory course on using Yale’s High Performance Computing (HPC) resources
Hands on workshop, March 8th-9th , 11am-5pm
This workshop will focus on topics including big data analytics and machine learning with Spark, and deep learning using Tensorflow.
Superconducting technologies have been developed and employed with great success by the quantum information science community. More and more, these technologies show promise for fundamental physics. I want to sketch some of their possible advantages in the context of the Ricochet and Project 8 neutrino experiments.
The ALICE experiment was built to study many-body Quantum Chromo-Dynamics (QCD) at high temperature and effectively zero baryon density, using relativistic heavy-ion collisions at the Large Hadron Collider (LHC). These collisions form the Quark Gluon Plasma (QGP), a state of matter where quarks and gluons are no longer confined inside hadrons. The ALICE physics program centers around the key questions related to QGP phenomena.
Determining the nature of dark matter (DM), a mysterious ‘missing mass’ in the universe, is crucial to completing our models of cosmology and high-energy physics. However, repeated null searches for the most favored DM candidates has motivated a community re-evaluation of the theoretical biases towards this parameter space. Two recent areas of interest, among the many decades of potential DM masses, are particle-like ‘light DM’ with masses less than a GeV and wave-like candidates of O(10) ueV. In this talk, I will discuss R&D work and experiments that seek to probe both avenues.
One of the biggest questions in fundamental particle physics is whether neutrinos are Dirac fermions, with distinct anti-particles, or Majorana fermions, for which the particles and anti-particles are identical. The best available probe of the neutrino nature is neutrinoless double beta decay (0νββ), a hypothetical process that require massive Majorana neutrinos. This discovery of this lepton number violating process would therefore reveal the neutrino nature and provide a window into physics beyond the Standard Model.
Jets are collimated sprays of final-state particles produced from initial high-momentum-transfer partonic scatterings in particle collisions. Since jets are multi-scale objects that connect asymptotically free partons to confined hadrons, jet substructure measurements can provide insight into parton evolution and the ensuing hadronization processes.
Jets are collimated sprays of hadrons focused in the direction of the initially scattered parton in a high-energy particle collision. These collisions are produced at particle colliders such as the Relativistic Heavy Ion Collider (RHIC) and the Large Hadron Collider (LHC).
Hard-scattered partons that are ejected from high-energy collisions at both the Relativistic Heavy Ion Collider (RHIC) and the Large Hadron Collider (LHC) undergo fragmentation as described by quantum chromodynamics (QCD) and hadronize into final state particles that are measured by the detector. The behavior of these showers can be studied using jets, clusters of final state particles used as a proxy for the initial parton. The substructure of these jets contains information about the time evolution of the parton shower.
Statistical Hadronization Models (SHMs) have successfully calculated hadronic particle yields to over nine orders of magnitude in high energy collisions of heavy ions and elementary particles at both RHIC and the LHC. Assuming a thermally equilibrated system, experimental final state particle yields from collisions measured by the STAR and ALICE detectors serve as anchors for the determination of common freeze-out parameters – namely, the chemical freeze-out temperature and the baryon chemical potential – in the QCD phase diagram through thermal fits within the SHM framework.