collaborators

5 papers

cs.LG2026

Application of PDE emulators for a multi-material, multi-physics simulation problem

Diane Oyen, Morgan Jones, Adithan Kathirgamaraju +19

Machine learning (ML) architectures are being developed for fast emulation of numerical simulators to accelerate both scientific discovery and engineering design. While these appro…

astro-ph.IM2026

A comprehensive simulation framework for multi-modal kilonova observations from all-sky surveys

Felipe Fontinele Nunes, Andrew Toivonen, Farhana Taiyebah +5

Current all-sky surveys such as Vera Rubin's Legacy Survey of Space and Time and the Zwicky Transient Facility (ZTF) promise a wealth of scientific gains that are contained in the…

astro-ph.HE2026

Multipolar Magnetic-Field Inference for PSR J0740+6620 with Neural-Network-Accelerated NICER Pulse-Profile Modeling

Farhana Taiyebah, Constantinos Kalapotharakos, Greg Olmschenk +6

We investigate the multipolar surface magnetic-field structure of the high-mass millisecond pulsar PSR J0740+6620 using the 32-bin bolometric NICER pulse profile of Dittmann et al.…

stat.ML2026

Accelerating Posterior Inference from Pulsar Light Curves via Learned Latent Representations and Local Simulator-Guided Optimization

Farhana Taiyebah, Abu Bucker Siddik, Indronil Bhattacharjee +4

Posterior inference from pulsar observations in the form of light curves is commonly performed using Markov chain Monte Carlo methods, which are accurate but computationally expens…

astro-ph.HE2025

Degeneracy-Aware Pulsar Parameter Estimation from Light Curves via Deep Learning and Test-Time Optimization

Abu Bucker Siddik, Diane Oyen, Soumi De +2

Probing properties of neutron stars from photometric observations of these objects helps us answer crucial questions at the forefront of multi-messenger astronomy, such as, what is…