activity
20222025
most citedEstimation of redshift and associated uncertainty of Fermi/LAT extra-galactic sources with Deep Learning

2 citations · 7 across the 7 of their papers we have counts for

collaborators

7 papers

physics.optics2025★ 2 cited

Structured Light at the Extreme: Harnessing Spatiotemporal Control for High-Field Laser-Matter Interactions

Sergio Carbajo, Seung-Whan Bahk, Justin Baker +19

This review charts the emerging paradigm of intelligent structured light for high-field laser-matter interactions, where the precise spatiotemporal and vectorial control of light i…

physics.optics2025

Ultrafast Pulse Retrieval from Partial FROG Traces Using Implicit Diffusion Models

Abhimanyu Borthakur, Jack Eden Hirschman, Sergio Carbajo

Ultrashort laser pulses enable attosecond-scale measurements and drive breakthroughs across science and technology, but their routine use hinges on reliable pulse characterization.…

physics.optics2025★ 1 cited

Deep Learning Assisted Modeling for Nonlinear Optics

Jack Hirschman, Erfan Abedi, Minyang Wang +6

Modeling second-order () nonlinear optical processes remains computationally expensive due to the need to resolve fast field oscillations and simulate wave propagation usi…

astro-ph.HE2024

Gamma Ray AGNs: Estimating Redshifts and Blazar Classification using traditional Neural Networks with smart initialization and self-supervised learning

Sarvesh Gharat, Abhimanyu Borthakur, Gopal Bhatta

Redshift estimation and the classification of gamma-ray AGNs represent crucial challenges in the field of gamma-ray astronomy. Recent efforts have been made to tackle these problem…

astro-ph.HE2023

Gamma-ray Blazar Classification using Machine Learning with Advanced Weight Initialization and Self-Supervised Learning Techniques

Gopal Bhatta, Sarvesh Gharat, Abhimanyu Borthakur +1

Machine learning has emerged as a powerful tool in the field of gamma-ray astrophysics. The algorithms can distinguish between different source types, such as blazars and pulsars,…

astro-ph.HE2023★ 2 cited

Estimation of redshift and associated uncertainty of Fermi/LAT extra-galactic sources with Deep Learning

Sarvesh Gharat, Abhimanyu Borthakur, Gopal Bhatta

With the advancement of technology, machine learning-based analytical methods have pervaded nearly every discipline in modern studies. Particularly, a number of methods have been e…

astro-ph.SR2022★ 2 cited

An Image Processing approach to identify solar plages observed at 393.37 nm by the Kodaikanal Solar Observatory

Sarvesh Gharat, Bhaskar Bose, Abhimanyu Borthakur +1

Solar plages, which are bright regions on the Sun's surface, are an important indicator of solar activity. In this study, we propose an automated algorithm for identifying solar pl…