2019
DOI: 10.1103/physrevd.99.064005
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Existence and stability of marginally trapped surfaces in black-hole spacetimes

Abstract: Marginally outer trapped surfaces (MOTSs, or marginal surfaces in short) are routinely used in numerical simulations of black hole spacetimes. They are an invaluable tool for locating and characterizing black holes quasi-locally in real time while the simulation is ongoing. It is often believed that a MOTS can behave unpredictably under time evolution; an existing MOTS can disappear, and a new one can appear without any apparent reason. In this paper we show that in fact the behavior of a MOTS is perfectly pre… Show more

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Cited by 26 publications
(64 citation statements)
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References 73 publications
(117 reference statements)
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“…via a pseudospectral method, which is what we chose. For our present application, we have implemented two additional features compared to what was used in [33]. These features are meant to deal with two additional complications that we must necessarily deal with: i) surfaces which have a very narrow "neck" (almost like a figure-eight), and in some instances have features like cusps and self intersections.…”
Section: Numerical Methods For Locating Highly Distorted Motssmentioning
confidence: 99%
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“…via a pseudospectral method, which is what we chose. For our present application, we have implemented two additional features compared to what was used in [33]. These features are meant to deal with two additional complications that we must necessarily deal with: i) surfaces which have a very narrow "neck" (almost like a figure-eight), and in some instances have features like cusps and self intersections.…”
Section: Numerical Methods For Locating Highly Distorted Motssmentioning
confidence: 99%
“…For this purpose, motivated by the methods used in [49], we employ bi-spherical coordinates [50]. ii) Unlike in [33] where the MOTS finder was applied to analytical initial data, we now have to deal with numerically generated data on a finite mesh. This requires the use of interpolation schemes some of which were already used in [34].…”
Section: Numerical Methods For Locating Highly Distorted Motssmentioning
confidence: 99%
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