Show simple item record

dc.contributor.authorBozzola, Gabriele
dc.contributor.authorChan, Chi-Kwan
dc.contributor.authorPaschalidis, Vasileios
dc.date.accessioned2022-03-24T01:13:35Z
dc.date.available2022-03-24T01:13:35Z
dc.date.issued2022
dc.identifier.citationBozzola, G., Chan, C., & Paschalidis, V. (2022). Black Hole Physics and Computer Graphics. Computing in Science and Engineering.en_US
dc.identifier.issn1521-9615
dc.identifier.doi10.1109/mcse.2022.3152669
dc.identifier.urihttp://hdl.handle.net/10150/663774
dc.description.abstractBlack holes are among the most extreme objects known to exist. As such, they are excellent laboratories for testing fundamental theories and studying matter in conditions that cannot be found anywhere else. In this article, we highlight the relevance of black holes in modern physical research and present a way to advance our understanding with numerical simulations. We briefly review dynamical-spacetime General-Relativistic-Magneto-HydroDynamic (GRMHD) calculations as fundamental tools to study the local properties of black holes and matter around them. Then, we discuss the need for general-relativistic radiation-transport to propagate the local information about light obtained with GRMHD simulations to our telescopes. Finally, we present our work on accretion onto binary black holes. The goal of our paper is to introduce the reader to some of the methods in current black hole research and to show how improvements in hardware and software for computer graphics support advancements in the field.en_US
dc.description.sponsorshipAstrophysics Science Divisionen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.rights© 2021 IEEE.en_US
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en_US
dc.subjectAstronomyen_US
dc.subjectMagnetic resonance imagingen_US
dc.subjectMathematical modelsen_US
dc.subjectNumerical modelsen_US
dc.subjectPhysicsen_US
dc.subjectRelativistic effectsen_US
dc.subjectTelescopesen_US
dc.titleBlack Hole Physics and Computer Graphicsen_US
dc.typeArticleen_US
dc.identifier.eissn1558-366X
dc.contributor.departmentAstronomy, The University of Arizona College of Scienceen_US
dc.identifier.journalComputing in Science and Engineeringen_US
dc.description.noteImmediate accessen_US
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en_US
dc.eprint.versionFinal accepted manuscripten_US
dc.source.journaltitleComputing in Science & Engineering
dc.source.beginpage1
dc.source.endpage1
refterms.dateFOA2022-03-24T01:13:36Z


Files in this item

Thumbnail
Name:
cise.pdf
Size:
8.270Mb
Format:
PDF
Description:
Final Accepted Manuscript

This item appears in the following Collection(s)

Show simple item record