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In Part 1 of this 3-part series, I explained kinematics in Einstien-deSitter (EdS) cosmology and in Part 2, I explained kinematics in ##\Lambda##CDM cosmology (essentially EdS plus a cosmological constant ##\Lambda##). Now I will bring those models to bear on the Supernova Cosmology Project (SCP) Union2.1 type Ia supernova data. This will show clearly how the EdS fit of the supernova data is greatly improved by adding ##\Lambda## to Einstein’s equations (EEs) of general relativity (GR). This fact convinced the astronomy community that a cosmological constant is indeed needed in EEs. This cosmological constant ##\Lambda## is often referred to as “dark energy,” as I explained in Part 2. I’ll start by explaining the concept of “distance modulus.”...
The SCP Union 2.1 Supernova Data is a compilation of data on type Ia supernovae, which are used as standard candles to measure the expansion of the universe. This data is important in studying dark energy because it allows us to track the rate of expansion and understand the role of dark energy in this process.
The data was collected using ground-based and space-based telescopes, and then processed using specialized software to analyze the light curves of the supernovae. This process involves measuring the brightness and distance of each supernova to create a standardized dataset.
Fitting the data involves using mathematical models to find the best fit for the observed data points. This allows us to determine the parameters of dark energy, such as its density and equation of state, and understand its effects on the expansion of the universe.
The fitting process takes into account uncertainties and errors in the data, and the resulting parameters have been found to be consistent with other independent measurements. However, as with any scientific data, there is always a margin of error and further research is needed to improve the accuracy.
The results from fitting the data provide valuable insights into the nature of dark energy and its role in the expansion of the universe. This can help us to better understand the fundamental properties of our universe and potentially lead to new theories and discoveries in the field of cosmology.