Conveners
Parallel 2: BSM + Collider
- Subhaditya Bhattacharya
Description
BSM + Collider
A multi-boson door into compositeness
Self-organizing map (SOM), a special class of artificial neural network (ANN),
has found extensive application in many science branches since its discovery in 1982 by
Teuvo Kohonen. Inspired by the ability of the brain to map smells, sounds, images, etc., to
different neurons in a self-organizing way and segregate them concerning their similarity,
SOM is widely used for dimensional...
We study the most minimal scalar extension that offers a tree-level violation of the custodial symmetry, while containing a dark matter (DM) candidate. A hypercharge-less scalar triplet that obtains a small vev breaks the custodial symmetry, which translates to the charged component $T^\pm \to Z W^\pm$ decay. Adding an inert singlet to this extension as a stable DM also opens up the fully...
Finding high-likelihood regions in BSM scenarios, particularly in high-dimensional models is a computationally expensive task and inefficient task using conventional statistical methods, due to the curse of dimensionality. In this work, we implement a generative framework, Real-valued Non-Volume Preserving(RealNVP) Normalizing Flows as our Machine Learning(ML) framework to assist Nested...
