View Code? Open in Web Editor
NEW
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
License: Academic Free License v3.0
Python 64.84%
Jupyter Notebook 35.16%
hybrid-calibration's Introduction
hybrid-calibration's People
Contributors
hybrid-calibration's Issues
The redundant baseline code is fairly inflexible.
It throws away all non-redundant baselines, which have use in sky based calibration.
Baselines are grouped in the uv-plane however there's no check whether baselines are conjugate
DFT based visibility code currently uses RegularGridInterpolator, Bella's work has shown that spline gives better accuracy
parallelisation causes multiple threads to write to the same array element.
The analytic covariance matrix matrix is off by a factor of 1.5
The covariance matrix is highly ill conditioned and the subsequently computed FIM as well.
Add calculation of cramer rao bound for real telescopes
source_population = SkyRealisation (sky_type = 'random' , flux_high = 1 )
source_population = SkyRealisation (sky_type = 'random' , flux_high = 1 )