Vanadium 50 said:How did you decide you wanted to do LQG? Presumably by reading papers on that. Who wrote those papers? Who did they cite? Where are they at?
Vanadium 50 said:How did you decide you wanted to do LQG? Presumably by reading papers on that. Who wrote those papers? Who did they cite? Where are they at?
romsofia said:This should help: http://relativity.phys.lsu.edu/ilqgs/
Should mention that LSU is a big university for research in LQG!
DrummingAtom said:Lol.. :uhh:
To the OP:
Check this thread out - https://www.physicsforums.com/showthread.php?t=486913
Quantum loop gravity is a theoretical framework that seeks to unify the principles of quantum mechanics and general relativity. It proposes that space and time are made up of tiny, indivisible units called loops, and that these loops interact with one another to create the fabric of the universe.
Quantum loop gravity groups are the fundamental building blocks of the quantum loop gravity theory. These groups are mathematical structures that represent the interactions between the loops that make up space and time. They are essential for understanding the dynamics of the universe at a quantum level.
Researchers are using a combination of mathematical models and experimental data to search for quantum loop gravity groups. They are studying the behavior of matter and energy at the smallest scales and testing the predictions of the theory through experiments such as high-energy particle collisions.
If quantum loop gravity is proven to be a correct description of the universe, it could have far-reaching implications for our understanding of the cosmos. It could potentially help us understand phenomena such as black holes and the origins of the universe, and could also lead to new technologies based on manipulating quantum loop gravity groups.
One of the major challenges in the search for quantum loop gravity groups is the lack of experimental evidence. The theory is still in its early stages, and there is currently no way to directly observe quantum loop gravity groups. Additionally, the complexity of the mathematical models used to describe these groups makes it difficult to test their predictions and make progress in understanding their behavior.