3 papers
astro-ph.IM2026
LeoNet: A Machine Learning Method for Binary Pulsar Classification
Zhaocheng Gong, Jack White, Zeyu Yang +3
Binary pulsars provide valuable laboratories for testing theories of gravity, but orbital Doppler shifts complicate their detection. Fourier-domain acceleration and jerk searches a…
astro-ph.IM2026
MARS: A Lightweight Morphology-Aware RFI Segmentation Network for Mask-Guided Mitigation in Radio Astronomy
Zhaocheng Gong, Jack White, Jayanta Roy +1
Next-generation radio telescopes generate filterbank data at rates that make storing all observations for later offline mitigation impractical. Mitigation must therefore operate in…
astro-ph.HE2026
The SPOTLIGHT Pulsar Search Pipeline: A GPU-Accelerated FFT Approach
Jyotirmoy Das, Jayanta Roy, Nishant Pradeep Deo +20
We present the pulsar search component of SPOTLIGHT (Survey for sPoradic radiO bursTs via a commensaL multI-beam Gpu-powered Hpc at the gmrT), a GPU-accelerated commensal backend o…