2 papers
astro-ph.CO2026
BROOM: a python package for model-independent analysis of microwave astronomical data
Alessandro Carones, Sijil Jose, Aliza Mustafa +2
We present BROOM, a new python package for the application of blind, minimum-variance component-separation techniques to microwave observations. The package enables the reconstruct…
gr-qc2025
Inferring additional physics through unmodelled signal reconstructions
Rimo Das, V. Gayathri, Divyajyoti +4
Parameter estimation of gravitational wave data is often computationally expensive, requiring simplifying assumptions such as circularisation of binary orbits. Although, if include…