Estimating the Hubble Constant and the Curvature of the Universe
DOI:
https://doi.org/10.58445/rars.2939Keywords:
Hubble Constant, Critical Density, Density Parameter, Supernovae, Redshift, Cosmic Expansion, Shape of the Universe, Regression Analysis, Error Propagation, Python, Observational Cosmology, Cosmic CurvatureAbstract
This study analyzes observational data from studies regarding distant celestial objects to estimate the Hubble Constant. Using distance, velocity, magnitude, and redshift, two best-fit models were created within Python applying linear regression. Firstly, a linear regression was applied to the entire dataset, but after, the data was separated into 12 chunks, sorted by their distances from the Earth. The results align with modern conclusions of the Hubble Constant, with the calculated value from the linear regression being 50.585 km/s/Mpc.
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