# Venkitesh Ayyar

I'm a Postdoctoral Scholar in the Center for Computational Cosmology (C3 group) in the Computational Research Division at Lawrence Berkeley National Lab.

I am interested in the use of Machine Learning techniques to solve problems in astronomy and cosmology. Specifically I'm looking at ways to use Convolutional Neural Networks to improve image data obtained from large astronomical telescopes. I'm also interested in the use of Generative Adversarial Neural networks to augment telescope image data.

## Background:

My research background is in Theoretical and Computational Particle Physics. I got my Ph.D. in Theoretical Physics from Duke University in September 2016, specializing in *Lattice Field theory.* As a postdoc at the University of Colorado at Boulder, I worked on the study of *lattice gauge theories* of interest in **Beyond Standard Model Physics**. During this time, I also worked on developing Databases and computational workflows for lattice gauge theory calculations.

After joining Berkeley Lab in April 2018, I worked on developing, benchmarking and optimizing the computational workflow of High Energy Physics experiments like LZ and ATLAS. I also worked on using Convolutional Neural Networks to perform signal-background classification for detector data obtained in High Energy Physics experiments.

## Research Interests:

Machine Learning, Scientific workflows, Databases, Early universe physics, lattice gauge theories.

Details about my research publications can be found at: http://inspirehep.net/author/profile/V.Ayyar.1

## Selected Journal publications:

- Baryon spectrum of SU(4) composite Higgs theory with two distinct fermion representations, V. Ayyar, T. DeGrand, D. Hackett, W. Jay, E. Neil, Y. Shamir, B. Svetitsky, June 2018, Phys. Rev. D 97, 114505.
- Finite temperature phase structure of SU(4) gauge theory with multiple fermion representations,V. Ayyar, T. DeGrand, D. Hackett, W. Jay, E. Neil, Y. Shamir, B. Svetitsky, June 2018, Phys. Rev. D 97, 114502.
- Benchmark results in the 2D lattice Thirring model with a chemical potential, V. Ayyar, S. Chandrasekharan, J. Rantaharju, March 2018, Phys. Rev. D 97, 054501.
- Spectroscopy of SU(4) composite Higgs theory with two distinct fermion representations, V. Ayyar, T. DeGrand, M. Golterman, D. Hackett, W. Jay, E. Neil, Y. Shamir, B. Svetitsky, April 2018, Phys. Rev. D 97, 074505.
- Generating a perturbative mass gap using Feynman diagrams in an asymptotically free theory, V. Ayyar, S. Chandrasekharan, Dec 2017, Phys. Rev. D 96, 114506.
- Fermion masses through four-fermion condensates, V. Ayyar and S. Chandrasekharan, Oct 2016, JHEP10(2016)058.
- Origin of fermion masses without Spontaneous Symmetry Breaking, V. Ayyar and S. Chandrasekharan, April 2016, Phys. Rev. D 93, 081701(R).

## Invited Talks:

**Study of SU(4) Composite Higgs Model with fermions in multiple representations.**

Seminar, Tata Institute of Fundamental Research, Mumbai, India. March 15, 2018.

Seminar, Indian Institute of Technology, Mumbai, India, March 12, 2018.

**Fermion mass generation without Spontaneous Symmetry Breaking,**

HEP Seminar, University of Colorado, Boulder, Sept 26, 2016.

Seminar, Indian Institute of Technology, Mumbai, India, March 8, 2016.