Bulletin of the American Physical Society
APS April Meeting 2020
Volume 65, Number 2
Saturday–Tuesday, April 18–21, 2020; Washington D.C.
Session H06: Data Science in Physics EducationEducation Invited Live Undergrad Friendly
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Sponsoring Units: GDS FEd Chair: Dimitri Bourilkov, University of Florida Room: Roosevelt 1 |
Sunday, April 19, 2020 10:45AM - 11:21AM Live |
H06.00001: Machine Learning in Particle Physics Invited Speaker: Sergei Gleyzer In my talk, I will discuss the application of state-of-the-art data science methods, such as modern deep learning networks, in particle physics. In particular, I will highlight applications to new physics searches, detector reconstruction, particle identification and real-time event filtering. I will conclude by presenting significant new opportunities in the field of particle physics enabled by data science. [Preview Abstract] |
Sunday, April 19, 2020 11:21AM - 11:57AM Live |
H06.00002: CERN Open Data Portal for Science and Education Invited Speaker: Matthew Bellis Big Science is moving slowly but steadily toward a future in which open datasets are the norm, rather than the exception. Astronomers have regular releases of their data for the community to analyze, usually after some embargo period where those who took the data get first crack at it. However, particle physics experiments have traditionally been slow to adopt this approach, in large part because of the complexity of the datasets and the required knowledge needed to properly perform an analysis. This started to change in 2014 when CERN launched the Open Data Portal website. It hosts experimental data from the Large Hadron Collider (LHC) experiments and the OPERA neutrino experiment. Educational examples and simplified datasets are also provided but the bulk of the infrastructure goes towards allowing access to the same data and tools used by the analysts on the experiments themselves. In this talk, we review the current status of the Portal, highlighting publications and results from members of the theory community who used the CMS open data for their analysis. We also discuss how these data are being used for educational efforts and an exciting upcoming workshop designed to provide theorists with a hands-on tutorial interacting with the CMS open data. [Preview Abstract] |
Sunday, April 19, 2020 11:57AM - 12:33PM Not Participating |
H06.00003: Transitioning from Astronomy to Tech Start-Ups Invited Speaker: Vicki Toy-Edens Interested in data science? Want to know what it is and why is everyone talking about it? In this talk I will discuss my transition from building and studying astronomical instruments and explosive stars to working at tech start-ups in retail and healthcare as a data scientist. In particular, I will discuss some of the most useful transferable skills I learned in academia, what a typical day as a data scientist looks like, and cover some of the lessons I learned along the way on how to make a smooth transition. [Preview Abstract] |
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