![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
. | ![]() |
. |
![]() by Staff Writers Potsdam, Germany (SPX) Feb 07, 2017
The new supercomputer "Minerva" has been put into operation at the Max Planck Institute for Gravitational Physics (Albert Einstein Institute, AEI). With 9,504 compute cores, 38 TeraByte memory and a peak performance of 302.4 TeraFlop/s it is more than six times as powerful as its predecessor. The scientists of the department "Astrophysical and Cosmological Relativity" can now compute significantly more gravitational waveforms and also carry out more complex simulations. Above all, the new computer cluster - named after the Roman goddess of wisdom - is used for the calculation of gravitational waveforms. These ripples in space time - measured for the first time directly in September 2015 - originate when massive objects such as black holes and neutron stars merge. Obtaining the exact forms of the emitted gravitational waves requires numerically solving Einstein's complicated, non-linear field equations on supercomputers like Minerva. The AEI has been at the forefront of this field for many years and its researchers have been making important contributions to the software tools of the trade. Tracking down faint signals in the detectors' background noise and inferring information about astrophysical and cosmological properties of their sources requires calculating the mergers of many different binary systems such as binary black holes or pairs of a neutron star and a black hole, with different combinations of mass ratios and individual spins. "Such calculations need a lot of compute power and are very time-consuming. The simulation of the first gravitational wave measured by LIGO lasted three weeks - on our previous supercomputer Datura," says AEI director Professor Alessandra Buonanno. "Minerva is significantly faster and so we can now react even quicker to new detections and can calculate more signals." The gravitational wave detectors Advanced LIGO in the USA (aLIGO) and GEO600 in Ruthe near Hanover started their second observational run ("O2") on 30 November 2016. aLIGO is now more sensitive than ever before: The detectors will be able to detect signals from about 20% further away compared to O1, which increases the event rate by more than 70%. Researchers in the Astrophysical and Cosmological Relativity division at AEI have improved the capabilities of aLIGO detectors to observe and estimate parameters of gravitational-wave sources ahead of O2. For the search for binary black hole mergers, they have refined their waveform models using a synergy between numerical and analytical solutions of Einstein's equations of general relativity. They calibrated approximate analytical solutions (which can be computed almost instantly) with precise numerical solutions (which take very long even on powerful computers). This allows the AEI researchers to use the available computing power more effectively and to search more quickly and discover more potential signals from merging black holes in O2, and to determine the nature of their sources. AEI researchers also have prepared simulations of merging neutron star and boson star binaries. These can be simultaneously observed in electromagnetic and gravitational radiation, and can provide new precise tests of Einstein's theory of general relativity.
![]() ![]()
Related Links Max Planck Institute for Gravitational Physics Space Technology News - Applications and Research
|
|
The content herein, unless otherwise known to be public domain, are Copyright 1995-2024 - Space Media Network. All websites are published in Australia and are solely subject to Australian law and governed by Fair Use principals for news reporting and research purposes. AFP, UPI and IANS news wire stories are copyright Agence France-Presse, United Press International and Indo-Asia News Service. ESA news reports are copyright European Space Agency. All NASA sourced material is public domain. Additional copyrights may apply in whole or part to other bona fide parties. All articles labeled "by Staff Writers" include reports supplied to Space Media Network by industry news wires, PR agencies, corporate press officers and the like. Such articles are individually curated and edited by Space Media Network staff on the basis of the report's information value to our industry and professional readership. Advertising does not imply endorsement, agreement or approval of any opinions, statements or information provided by Space Media Network on any Web page published or hosted by Space Media Network. General Data Protection Regulation (GDPR) Statement Our advertisers use various cookies and the like to deliver the best ad banner available at one time. All network advertising suppliers have GDPR policies (Legitimate Interest) that conform with EU regulations for data collection. By using our websites you consent to cookie based advertising. If you do not agree with this then you must stop using the websites from May 25, 2018. Privacy Statement. Additional information can be found here at About Us. |