Quantum Gravity and the Functional Renormalization Group
By Martin Reuter, Frank Saueressig. 2019
169 citations recorded by the source corpus.
During the past two decades the gravitational asymptotic safety scenario has undergone a major transition from an exotic possibility to a serious contender for a realistic theory of quantum gravity. It aims at a mathematically consistent quantum description of the gravitational interaction and the geometry of spacetime within the realm of quantum field theory, which keeps its predictive power at the highest energies. This volume provides a self-contained pedagogical introduction to asymptotic safety, and introduces the functional renormalization group techniques used in its investigation, along with the requisite computational techniques. The foundational chapters are followed by an accessible summary of the results obtained so far. It is the first detailed exposition of asymptotic safety, providing a unique introduction to quantum gravity and it assumes no previous familiarity with the renormalization group. It serves as an important resource for both practising researchers and graduate students entering this maturing field.
Subfields: Nuclear and High Energy Physics, Political Science and International Relations
View Paper: https://www.semanticscholar.org/paper/e86605a31a4f808b6a8481a71dd21cf0247c1e95
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Citations in the corpus
- The nonperturbative functional renormalization group and its applications (2020, unknown): “27 for an illustration, including studies of the Einstein-Hilbert truncation [1096, 1097, 1149–1155] and beyond [1082, 1098, 1103–1108, 1110–1112, 1156], see [673, 1010, 1157–1159] for reviews and [1160, 1161] for recent introductory lectures.”
- Quantum gravity from causal dynamical triangulations: a review (2019, background): “the universe on larger scales, beyond a linear regime, see [105,106] for recent reviews. 54 means. A partial exception are functional renormalization group techniques in an asymptotic safety scenario [21,22], although also this ansatz relies crucially on numerical methods. This observation and the m”