Downloads provided by UsageCountsBinary black-hole simulation SXS:BBH:0407
NSF| Maximizing Science Output of LIGO: Improved Detectors and Data Analysis ,
NSF| Leadership Class Scientific and Engineering Computing: Breaking Through the Limits ,
NSF| MRI: Acquisition of a High-Performance Computer Cluster for Gravitational-Wave Astronomy with Advanced LIGO ,
NSF| Collaborative Research: Petascale Simulations of Merging Black Holes and Neutron Stars ,
NSF| Maximizing Scientific Outcomes of Gravitational Wave Experiments with Rapid, High-Fidelity Numerical Models ,
NSERC| unidentified ,
NWO| Precision Gravity: black holes, spins and gravitational waves ,
NSF| Gravitational Radiation and Relativistic Astrophysics ,
NSF| Sustained-Petascale In Action: Blue Waters Enabling Transformative Science And Engineering ,
NSF| Gravitational Radiation and Relativistic Astrophysics ,
NSF| MRI-R2: Acquisition of a Compute Cluster for High-Fidelity Simulations of Gravitational Wave Sources -- Facilitating LIGO and Enabling Multi-Messenger Astronomy ,
NSF| Collaborative Research: Petascale Simulations of Core-Collapse Supernovae and Hypermassive Neutron Stars
SXS Collaboration;
10.26138/sxs:bbh:0407v2.0 , 10.26138/sxs:bbh:0407v1.3 , 10.26138/sxs:bbh:0407v1.4 , 10.26138/sxs:bbh:0407v1.2 , 10.5281/zenodo.1235203 , 10.5281/zenodo.2642060 , 10.5281/zenodo.3274756 , 10.26138/sxs:bbh:0407 , 10.5281/zenodo.13168355 , 10.5281/zenodo.3318275 , 10.5281/zenodo.1235202 , 10.5281/zenodo.2625877 , 10.26138/sxs:bbh:0407v3.0 , 10.5281/zenodo.13168356 , 10.26138/sxs:bbh:0407v1.5
10.26138/sxs:bbh:0407v2.0 , 10.26138/sxs:bbh:0407v1.3 , 10.26138/sxs:bbh:0407v1.4 , 10.26138/sxs:bbh:0407v1.2 , 10.5281/zenodo.1235203 , 10.5281/zenodo.2642060 , 10.5281/zenodo.3274756 , 10.26138/sxs:bbh:0407 , 10.5281/zenodo.13168355 , 10.5281/zenodo.3318275 , 10.5281/zenodo.1235202 , 10.5281/zenodo.2625877 , 10.26138/sxs:bbh:0407v3.0 , 10.5281/zenodo.13168356 , 10.26138/sxs:bbh:0407v1.5
Binary black-hole simulation SXS:BBH:0407
Simulation of a black-hole binary system evolved by the SpEC code.
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average views 6 downloads 25 - 6views25downloads
selected citations
Citations provided by BIP!
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP!influenceInfluence provided by BIP!
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Influence provided by BIP!impulseImpulse provided by BIP!
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
Impulse provided by BIP!viewsViews provided by UsageCounts
Views provided by UsageCountsdownloadsDownloads provided by UsageCounts
Downloads provided by UsageCounts 0
Average
Average
Average
6
25
Funded byView all
NSF| Maximizing Science Output of LIGO: Improved Detectors and Data Analysis, NSF| Leadership Class Scientific and Engineering Computing: Breaking Through the Limits, NSF| MRI: Acquisition of a High-Performance Computer Cluster for Gravitational-Wave Astronomy with Advanced LIGO, NSF| Collaborative Research: Petascale Simulations of Merging Black Holes and Neutron Stars
Related to Research communities