pith. sign in

arxiv: 1711.11381 · v1 · pith:56GGPRT3new · submitted 2017-11-30 · 🌀 gr-qc

Asymptotic structure of spacetime and the Newman-Penrose formalism: a brief review

classification 🌀 gr-qc
keywords reviewasymptoticbriefformalismnewman-penrosespacetimestructureadditionally
0
0 comments X
read the original abstract

A brief review about the Newman-Penrose formalism and the asymptotic structure of the spacetime is given. The goal of this review is to describe the latest developments in these topics and make a summary of the most important articles published by Newman and collaborators. Additionally, we discuss some aspects of this approach, and we compute the spin coefficients and the Weyl scalars for a general stationary axisymmetric spacetimes in a tetrad basis different from that defined by the principal null geodesic directions.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Merger remnant and eccentricity dynamics surrogates for eccentric nonspinning black hole binaries

    gr-qc 2026-04 unverdicted novelty 6.0

    New surrogate models predict remnant properties and eccentricity dynamics for eccentric nonspinning black hole binary mergers using numerical relativity data over a limited parameter space.

  2. Merger remnant and eccentricity dynamics surrogates for eccentric nonspinning black hole binaries

    gr-qc 2026-04 unverdicted novelty 6.0

    Two new surrogate models, trained on NR simulations, predict remnant properties and eccentricity dynamics for nonspinning eccentric black hole binaries with q ≤ 4 and e < 0.23.

  3. Toward claiming a detection of gravitational memory

    gr-qc 2026-01 unverdicted novelty 6.0

    A framework using scale separation in the Isaacson description defines observable gravitational memory rise for compact binary coalescences, providing a basis for hypothesis testing in LISA data.