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Steven B. Giddings

Researcher at University of California, Santa Barbara

Publications -  24
Citations -  1274

Steven B. Giddings is an academic researcher from University of California, Santa Barbara. The author has contributed to research in topics: Quantum gravity & String theory. The author has an hindex of 19, co-authored 24 publications receiving 1213 citations. Previous affiliations of Steven B. Giddings include University of California & Texas A&M University.

Papers
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Semiclassical relations and IR effects in de Sitter and slow-roll space-times

TL;DR: In this paper, the authors calculate IR divergent graviton one-loop corrections to scalar correlators in de Sitter space, and show that the leading IR contribution may be reproduced via simple semiclassical consistency relations.
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Semiclassical relations and IR effects in de Sitter and slow-roll space-times

TL;DR: In this article, the authors calculate IR divergent graviton one-loop corrections to scalar correlators in de Sitter space, and show that the leading IR contribution may be reproduced via simple semiclassical consistency relations.
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The fate of four dimensions

TL;DR: In this article, it is argued that the existence of a positive vacuum energy generically implies catastrophic instability of our four-dimensional world and that the most generic instability is a decompactification transition to growth of the extra dimensions, although other equally bad transitions may take place.
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NR/HEP: Roadmap for the future

TL;DR: In this paper, the authors present a concise and comprehensive overview of the state-of-the-art and important open problems in the field(s), along with a roadmap for the next years.
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Effective theories and black hole production in warped compactifications

TL;DR: In this paper, the authors investigated aspects of the four-dimensional (4D) effective description of brane world scenarios based on warped compactification on anti-de Sitter space and gave the linearized description of the 4D stress tensor corresponding to an arbitrary 5D matter distribution.