Published September 2016
| Submitted + Published
Journal Article
Open
Numerical relativity and high energy physics: Recent developments
Abstract
We review recent progress in the application of numerical relativity techniques to astrophysics and high-energy physics. We focus on recent developments regarding the spin evolution in black hole binaries, high-energy black hole collisions, compact object solutions in scalar–tensor gravity, superradiant instabilities, hairy black hole solutions in Einstein's gravity coupled to fundamental fields, and the possibility to gain insight into these phenomena using analog gravity models.
Additional Information
© 2016 The Author(s). This is an Open Access article published by World Scientific Publishing Company. It is distributed under the terms of the Creative Commons Attribution 4.0 (CC-BY) License. Further distribution of this work is permitted, provided the original work is properly cited. Received 23 March 2016; Revised 18 May 2016; Accepted 23 May 2016; Published 15 July 2016. We would like to thank all the participants in the NRHEP network and all colleagues that have collaborated in the works reported in this review. E.B. was supported by NSF CAREER Grant No. PHY-1055103 and by FCT Contract IF/00797/2014/CP1214/CT0012 under the IF2014 Programme. V.C. and U.S. acknowledge financial support provided under the European Union's H2020 ERC Consolidator Grant "Matter and strong-field gravity: New frontiers in Einstein's theory" Grant Agreement No. MaGRaTh–646597. L.C. thanks Carolina L. Benone and Leandro A. Oliveira for useful discussions, as well as Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) and Fundação Amazônia de Amparo a Estudos e Pesquisas do Pará (FAPESPA) for partial financial support. C.H. acknowledges funding from the FCT-IF programme. Research at Perimeter Institute is supported by the Government of Canada through Industry Canada and by the Province of Ontario through the Ministry of Economic Development and Innovation. This work was supported by the H2020-MSCA-RISE-2015 Grant No. StronGrHEP-690904, the CIDMA project UID/MAT/04106/2013, STFC Consolidator Grant No. ST/L000636/1, the SDSC Comet and TACC Stampede clusters through NSF-XSEDE Award No. PHY-090003, the Cambridge High Performance Computing Service Supercomputer Darwin using Strategic Research Infrastructure Funding from the HEFCE and the STFC, and DiRAC's Cosmos Shared Memory system through BIS Grant No. ST/J005673/1 and STFC Grant Nos. ST/H008586/1, ST/K00333X/1.Attached Files
Published - s0218271816410224.pdf
Submitted - 1603.06146v1.pdf
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Additional details
- Eprint ID
- 70284
- Resolver ID
- CaltechAUTHORS:20160912-153932277
- PHY-1055103
- NSF
- IF/00797/2014/CP1214/CT0012
- Fundação para a Ciência e a Tecnologia (FCT)
- MaGRaTh–646597
- European Research Council (ERC)
- Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
- Fundação Amazônia de Amparo a Estudos e Pesquisas do Pará (FAPESPA)
- Government of Canada
- Ontario Ministry of Economic Development and Innovation
- H2020-MSCA-RISE-2015
- European Research Council (ERC)
- StronGrHEP-690904
- European Research Council (ERC)
- UID/MAT/04106/2013
- CIDMA Project
- ST/L000636/1
- Science and Technology Facilities Council (STFC)
- PHY-090003
- NSF
- Higher Education Funding Council for England (HEFCE)
- ST/J005673/1
- Science and Technology Facilities Council (STFC)
- ST/H008586/1
- Science and Technology Facilities Council (STFC)
- ST/K00333X/1
- Science and Technology Facilities Council (STFC)
- Industry Canada
- Created
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2016-09-13Created from EPrint's datestamp field
- Updated
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2021-11-11Created from EPrint's last_modified field