Welcome to the new version of CaltechAUTHORS. Login is currently restricted to library staff. If you notice any issues, please email coda@library.caltech.edu
Published July 15, 2020 | Published + Submitted
Journal Article Open

Spectral Cauchy-characteristic extraction of the gravitational wave news function

Abstract

We present an improved spectral algorithm for Cauchy-characteristic extraction and characteristic evolution of gravitational waves in numerical relativity. The new algorithms improve spectral convergence both at the poles of the spherical-polar grid and at future null infinity, as well as increase the temporal resolution of the code. The key to the success of these algorithms is a new set of high-accuracy tests, which we present here. We demonstrate the accuracy of the code and compare with the existing pittnull implementation.

Additional Information

© 2020 American Physical Society. Received 23 October 2019; accepted 30 April 2020; published 1 July 2020. We thank Leo Stein, Casey Handmer, Harald Pfeiffer, Jeff Winicour, and Saul Teukolsky for helpful advice and many useful discussions about various aspects of this project. This work was supported in part by the Sherman Fairchild Foundation and by NSF Grants No. PHY-1708212 and No. PHY-1708213 at Caltech. Computations were performed on the Wheeler cluster at Caltech, which is supported by the Sherman Fairchild Foundation and by Caltech, and on NSF/NCSA BlueWaters under allocation NSF PRAC-1713694. This research is part of the BlueWaters sustained-petascale computing project, which is supported by the National Science Foundation (Grants No. OCI-0725070 and No. ACI-1238993) and the state of Illinois. BlueWaters is a joint effort of the University of Illinois at Urbana-Champaign and its National Center for Supercomputing Applications.

Attached Files

Published - PhysRevD.102.024004.pdf

Submitted - 1910.09677.pdf

Files

1910.09677.pdf
Files (4.6 MB)
Name Size Download all
md5:4edb26d2fdeb39c9146c782341b05df9
1.4 MB Preview Download
md5:170420a0f39c21c5e9bc863f85a2742f
3.2 MB Preview Download

Additional details

Created:
August 19, 2023
Modified:
October 20, 2023