That’s what the digital was designed. By determining the distance between galaxies and quasars over 11 billion years, we make accurate measurements of the apparent size (both near and far) of these bubbles. If you can slice that data into chunks to determine how quickly the universe is expanding at each point in the past, it would be a good idea to model how dark energy is affecting its expansion.
Rising trend
Last year’s results are based on analysis of full-year data obtained from seven different slices of space time, including the largest 450,000 quasars collected so far, with a record accuracy of 0.82% for the most farthest epoch (8-11 billion years ago). There was fundamental agreement in the Lamba CDM model, but some subtle differences occurred when these first-year results were combined with data from other studies (including background radiation in cosmic microwaves and IA superknob types).
Essentially, these differences suggest that dark energy may be weaker. From a confidence perspective, the results corresponded to a 2.6 sigma level of DESI data combined with the CMB dataset. When supernova data was added, these numbers increased to 2.5, 3.5, or 3.9 sigma levels, depending on which particular supernova dataset was used.
Digi’s co-spokesman is Percival at the University of Waterloo, so it is important to combine the digi data with other independent measurements. “All different experiments should give the same answer as how much problems there are in today’s universe, and how quickly the universe is expanding. Even if all experiments agree with the Lambda-CDM model, give them different parameters. Parameters of the basic properties of that model.”
These latest results span around 15 million galaxies and quasars in the first three years collected. Again, only the DESI data matched the Lambda CDM. In other words, the dark energy is constant. And once again, when combined with CMB, supernovae, and other datasets from weak gravitational lens studies, it suggests that dark energy may change over time. The range of confidence levels ranges from 2.8 to 4.2 sigma depending on the dataset combination.
This may attack the average citizen as progressive progress, but the reality is more complicated. “The DESI data itself is not incremental,” Percival said. “We currently have three years of data rather than one year data. This is substantial because of not only increasing area, but also increasing overlap. The way we do the research is to build a plate in the sky. In itself, it is between two and three coefficients, depending on the exact balance between the area and the depth.”
