Yale Postdoctoral Trainees

NPA Seminar, Alice Ohlson, Lund University, “Exploring the phase diagram of nuclear matter with heavy-ion collisions”

In ultrarelativistic collisions of heavy nuclei, such as those which take place in the Large Hadron Collider (LHC) and the Relativistic Heavy Ion Collider (RHIC), the resulting state is so hot and dense that normal matter melts into its constituent parts, and quarks and gluons are no longer confined into hadrons. Known as the quark-gluon plasma (QGP), this matter occupies the high-temperature and high-density regime of the phase diagram of quantum chromodynamics (QCD).

NPA Seminar, Austin Baty, Rice University, “Jets and trillion-degree matter: studying QCD at multiple scales”

The theory of the strong nuclear force - Quantum Chromodynamics (QCD) - describes the interactions between fundamental particles known as quarks and gluons. In this talk, I will explain how the strong nature of the QCD interaction results in phenomena having unique and intriguing properties. One such example is the creation of a hot, dense form of matter that behaves like a ‘perfect liquid,’ known as the quark-gluon plasma (QGP), in collisions of high-energy nuclei. Another QCD phenomenon is the fragmentation of high-momentum quarks and gluons into streams of particles known as jets.

NPA Seminar, Laura Havener, Yale, “Exploring QCD with quarks, gluons, and the quark-gluon plasma”

The smallest building blocks of matter, quarks and gluons (partons), are usually confined inside protons and neutrons (hadrons). At very high energies and temperatures, the partons become deconfined or “free”, forming a novel state of matter called the Quark-Gluon plasma (QGP). The QGP is produced at high-energy colliders by smashing together heavy ions and is found to be a nearly perfect fluid, but precise knowledge of its intrinsic properties is required. Jets are ideal probes of the QGP.

NPA Seminar: Prakhar Garg, Stony Brook University, “Gaseous detectors for upcoming and future experiments”

Gaseous detectors are one of the most versatile concepts used in a wide range of physics experiments.
In this seminar, I would discuss some of their flavours in nuclear and high energy physics experiments. Particular emphasis will be on Time Projection Chamber for sPHENIX experiment, GEM Trackers for MOLLER experiment, Cylindrical \mu-RWELL for PIONEER Experiment and Generic ongoing R&D plans of GridPix detector for EIC. I would try to incorporate mostly the key features of these detector concepts and what makes them interesting to us.
Host: Helen Caines

Dissertation Defense: London Cooper-Troendle, Yale University, "First Measurement of Inclusive Muon Neutrino Charged Current Triple Differential Cross Section on Argon"

The field of accelerator neutrino experiments is entering an era of precision oscillation measurements where the remaining unknown neutrino measurements will be determined. The upcoming DUNE and Hyper-K experiments aim to determine the neutrino mass hierarchy and degree of Charge-Parity (CP) violation in the neutrino sector, providing potential insight on the matter-antimatter imbalance observed in the universe. However, these experiments require highly accurate measurements, and neutrino cross section modeling uncertainties may limit their capabilities.

Dissertation Defense: Kaicheng Li, Yale University, "Searching for the Electron Neutrino Anomaly with the MicroBooNE Experiment Using Wire-Cell Reconstruction"

The Micro Booster Neutrino Experiment (MicroBooNE) is a leading large-scale Liquid Argon Time Projection Chamber (LArTPC) experiment, designed for precision neutrino physics. The main scientific objectives of MicroBooNE include the investigation of the Low Energy Excess (LEE) observed by the MiniBooNE Experiment between 2002-2019 in the Booster Neutrino Beam (BNB) at Fermilab, the measurements of neutrino-argon interactions, and the research and development of LArTPC technology. This thesis focuses on understanding the MiniBooNE LEE through charged-current electron neutrino interactions.

Introduction to Data Analysis with Python Workshop

Python is general purpose, interpreted programming language with a rich set of scientific and mathematic modules. As an interpreted language, it trades computational speed for iterative agility. It lends itself particularly well to the task of preparing raw data and performing exploratory analysis. This workshop will introduce participants to data analysis using Jupiter and Python, Numpy, and Pandas. Prior experience with Python is useful but not essential.
Led by Vincent Balbarin, Research Computing Specialist, Wright Lab & YCRC

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