Phenomenology 2021 Symposium

Session

Tools I

24 May 2021, 14:15

University of Pittsburgh

Conveners

Tools I

• Tao Xu (Hebrew University)

Description

https://pitt.zoom.us/j/93687648384

Presentation materials

zoom

1451. Anomaly detection using machine learning

David Shih (Rutgers University)

24/05/2021, 14:15

Mini-Review

1246. Nanosecond machine learning with BDT for high energy physics

Tae Min Hong (University of Pittsburgh (US))

24/05/2021, 14:45

Tools

We present a novel implementation of classification using boosted decision trees (BDT) on field programmable gate arrays (FPGA). The firmware implementation of binary classification requiring 100 training trees with a maximum depth of 4 using four input variables gives a latency value of about 10ns. Two problems are presented, in the separation of electrons vs. photons and in the selection of...

1299. Training a new generation of Scientists via Outreach and Prototype Building.

Waleska Aldana Segura, Julian Felix (Universidad de Guanajuato)

24/05/2021, 15:00

Tools

An incipient program in Cosmic Ray and Radiation Detection is based at the International Elementary Particle Laboratory. Such efforts include an integral program to seek young talents, motivate them to pursue a STEAM oriented career and professionally train them in novel detection techniques by means of a hands-on approach that involves building innovative prototypes.

During the pandemic,...

1120. Explainable AI for ML Jet Taggers

Lauren Meryl Hay (SUNY Buffalo)

24/05/2021, 15:15

QCD & EW

A framework is presented to extract and understand decision-making information from a deep neural network classifier of jet substructure tagging techniques. The general method studied is to provide expert variables that augment inputs (“eXpert AUGmented” variables, or XAUG variables), then apply layerwise relevance propagation (LRP) to networks that have been provided XAUG variables and those...

1304. Mass Unspecific Supervised Tagging (MUST) for boosted jets

Mr João Seabra (Departamento de Física and CFTP, Instituto Superior Técnico, Universidade de Lisboa)

24/05/2021, 15:30

Tools

Jet identification tools are crucial for new physics searches at the LHC and at future colliders. We introduce the concept of Mass Unspecific Supervised Tagging (MUST) which relies on considering both jet mass and transverse momentum varying over wide ranges as input variables - together with jet substructure observables - of a multivariate tool. This approach not only provides a single...

1433. Automating Boosted Decision Tree Analyses with MInOS

Prof. Joel Walker (Sam Houston State University)

24/05/2021, 15:45

Tools

A new software tool MInOS (Machine Intelligent Optimization of Significance) is introduced for the automation of machine learning on collider event statistics, with back-end functionality provided by the XGBoost package. A simple, compact, and powerful meta-language syntax facilitates the generation of sophisticated Boosted Decision Tree analyses based upon instructions supplied in a reusable...