Experimental Particle and Astroparticle Physics Journal Club

Overview

The Experimental Particle Physics (EPP) and Astroparticle Physics (APP) Journal Club emphasizes the experimental nature of high-energy physics (HEP) and particle astrophysics. They are intended for HEP experimental, HEP phenomenology, and particle astrophysics students, postdocs, and faculty, but open to all. These talks are very interactive, and we strongly encourage participation and questions. Sessions are held during lunchtime. You are welcome to bring your own lunch.

Meeting time

Location: GL-328
Time: 1:00 – 2:00 p.m.
Occurrence: Thursdays (approx. biweekly)

Organizers

This journal club is currently being organized by Cilicia Uzziel Perez. Please contact her regarding any questions or to inquire about giving a prospective talk. This club is advised by Prof. Conor Henderson.

Schedule

Fall 2019

Date Speaker Topic
October 3 Andie Wall HECOs, Dyons, and Supersymmetry at MoEDAL.
October 17 Sarah Deutsch (UA) The CLIC experiment at CERN
November 7 Dr. Sergei Gleyzer (UA) Machine Learning and HEP
November 14 Bhim Bam (UA)

Rafi Sazzad (UA)

TBA
November 21 Aditya Upreti (UA)

Ruole Yi (UA)

TBA
December 5 Keenan Lambert (UA)

Weidong Jin (UA)

TBA

Previous Talks

Date Speaker Topic
February 1 Dr. Seth Cooper (UA) Search for pair production of first generation scalar leptoquarks at √s = 13 TeV
February 15 Prof. Dawn Williams (UA) Thinking Outside the Cube: A New Search in IceCube
March 1 Prof. Ion Stancu (UA) MiniBooNE neutrino oscillations experiment I
March 15 N/A Spring Break
March 29 Prof. Ion Stancu (UA) MiniBooNE neutrino oscillations experiment II
April 12 Uzziel Perez (UA) Discoveries, Exclusions and Measurements: Some new ideas and tools in HEP
April 26 Rafi Sazzad (UA) Material Screening for the LZ experiment at UA
Date Speaker Topic
August 30 Prof. Conor Henderson (UA) Collider detectors
September 13 Sarah Deutsch (UA)

Uzziel Perez (UA)

XRF Mapping of Cultural Heritage Objects

Image-based Deep Learning for Event Classification using CMS Detector Data (Review)

September 27 Prof. Nobuchika Okada (UA) Is SUSY dead? The status of supersymmetric models in the absence of new particles.

(Part I)

October 11 Prof. Dawn Williams Multimessenger Astronomy: IceCube High-energy Neutrino Observation coincidence with a blazar
November 8 Prof. Nobuchika Okada (UA) Is SUSY dead? The status of supersymmetric models in the absence of new particles.

(Part II)

November 30

(off-week)

Hank Richards Using Deep Learning in the Search for Neutrinoless Double Beta Decay
December 6 Weidong Jin (UA)

Prabandha Nakarmi (UA)

Prototype 9.7m Schwarzschild-Couder telescope for the Cherenkov Telescope Array

Overview of LIXO at UA

Date Speaker Topic
February 01 Prof. Jerry Busenitz (UA) Introduction to dark matter and dark energy searches
February 15 N/A University of South Alabama HEP group visit
March 01 Prof. Jerry Busenitz (UA) Dark matter and dark energy searches
March 15 N/A Spring break
March 29 Dr. Yue Meng (UA) The LUX-ZEPLIN (LZ) Dark Matter Experiment
April 12 Digesh Raut (UA) Enhanced heavy Majorana neutrino pair productions at the LHC in minimal U(1) extended SM
April 26 Andrew Buccilli (UA)

Hank Richards (UA)

Search for large extra dimensions using high-mass diphoton events collected with CMS in 2016

Energy and Position Reconstruction and Event Classification with Deep Learning in EXO-200

Date Speaker Topic
September 21 Prof. Marcos Santander (UA) Gamma-ray telescopes
October 05 Prof. Igor Ostrovskiy (UA) Magnetic monopole searches
October 19 Prof. Conor Henderson (UA)  Introduction to collider physics
November 02  Prof. Dawn Williams (UA)  IceCube Neutrino Observatory detector physics
November 16 James Parkes (UA) Search for neutrinoless double-beta decay with the Majorana Demonstrator
November 30 Mitchell Hughes (UA) EXO-200 and nEXO neutrinoless double-beta decay searches
December 07

(off-week)

Ya Yin Chang (UA)

Cilicia Uzziel Perez (UA)

Introduction to low background techniques with EXO-200 for rare event searches

Introduction to machine learning in HEP