GPU Framework for Radio Astronomical Image Synthesis
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Updated
Nov 12, 2024 - Cuda
GPU Framework for Radio Astronomical Image Synthesis
PyTorch-based radio-interferometric imaging reconstruction package with scalable Bayesian uncertainty quantification relying on data-driven (learned) priors
TrAjectory BAsed RFI Subtraction and CALibration (TABASCAL) of radio interferometry data. A source to visibility model for astronomical and RFI sources including near-field effects. Visibility data is jointly calibrated with excision of specific RFI contamination.
Classic CARMA version of MIRIAD
Kalman Filter and Smoother Implementation for Radio Interferometric Gains Calibration. This library is part of the master's work by Brian Welman and serves as a 'proof-of-concept' tool for it.
Convolution kernel set generator used to create custom sets of kernels needed for W-Projection based convolutional gridding/degridding (https://arxiv.org/abs/0807.4161)
Python package for simulating interferometric visibilities using the non-uniform fast fourier transform
Calculating the total circumstellar disk mass of the FU Orionis object HBC722.
Searching for evidence of core fragmentation in early multiple (binary/higher-order) star systems.
Python tool in CASA (software for astronomical radio interferometric data) for the combination of interferometric and single dish telescope data from ALMA (Atacama Large Millimeter Array)
a pythonic Radio interferometric EoR Module containing many utility classes and function developed during my PhD.
A project in which we study the feasibility of correlation calibration (Sievers 2016) in the Murchison Widefield Array in attempt to bridge the gap between Redudant Calibration and Sky Model Based Calibration
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