The detection of gravitational waves
4РП — Обучение и мобилност на изследователи
- Период
- 1997-01-20 → 1998-01-19
- Финансиране от ЕС
- —
- Участници
- 2
- Схема
- RGI
Линиите свързват координатора с партньорите. За проекти отпреди 2014 г. CORDIS не винаги дава точни координати. Тези точки са на ниво град или държава.
Накратко на български
Гравитационните вълни от обекти като пулсари и двойни звездни системи се проучват чрез нови методи за анализ на данни. Това помага за по-точното откриване на тези сигнали сред шума и определянето на тяхното местоположение в космоса.
Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.
Цел на проекта
Research objectives and content The detection of gravitational waves from astrophysical sources is probably one of the most keenly awaited events in the history of astrophysics. Our purpose is to study phenomenological aspects of gravitational radiation detection and to develop techniques for analyzing data. Our study will be primarily devoted to binary systems and pulsars which are among the most promising sources of the gravitational waves. We will work in the development of more efficient algorithms for the choice of an optimal set of templates to detect a known waveform buried in noisy data. We will investigate such techniques with the aid of differential geometry which provides geometric insight into the problem. Another problem is that the search for long-lived binary systems and pulsars involves making corrections for Doppler effects from the motion of the Earth. These corrections must be done differently for different places on the sky. This gives detectors good angular resolution but presents formidable data-analysis problems because there are 1013 different resolvable positions on the sky in a 1-year observation at 1 KHz. This is important because these sources may be the first to be seen by ground-based detectors. Training content (objective, benefit and expected impact) The training aspect of this proposal focuses in getting a deeper knowledge in the main scientific area of the applicant to acquire new methods and techniques or analysis for the problem described and to learn and apply various computer languages and computer algorithms for parallel processing. Links with industry / industrial relevance (22)
Оригинален текст от CORDIS (на английски).
Участници
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Данни: CORDIS, © Европейски съюз