|Title||Fast stochastic variability in CV variable V1504 Cyg and source identification|
|Author||Dr Andrej Dobrotka|
|Description||High-cadence long-term Kepler data of cataclysmic variables V1504Cyg, V344Lyr and MVLyr show multi-component power density spectra of the fast stochastic variability. The same is observed in X-rays in the case of SSCyg, RUPeg and, most recently, in MVLyr. Modelling studies allow a variety of accreting structures as the source. However, conclusions based on a single wave band remain ambiguous while we have achieved more robust conclusions from combined optical and X-ray observations of the nova like MVLyr. The case of the dwarf nova V1504Cyg is more complex because it comprises quiescence and outbursts. Since it is technically impossible to obtain optical Kepler data of SSCyg or RUPeg, we propose to observe V1504Cyg with XMM. The goal is to search for the break freq. found in Kepler data.|
|Publication||No observations found associated with the current proposal|
|Instrument||EMOS1, EMOS2, EPN, OM, RGS1, RGS2|
|Mission Description||The European Space Agency's (ESA) X-ray Multi-Mirror Mission (XMM-Newton) was launched by an Ariane 504 on December 10th 1999. XMM-Newton is ESA's second cornerstone of the Horizon 2000 Science Programme. It carries 3 high throughput X-ray telescopes with an unprecedented effective area, and an optical monitor, the first flown on a X-ray observatory. The large collecting area and ability to make long uninterrupted exposures provide highly sensitive observations.
Since Earth's atmosphere blocks out all X-rays, only a telescope in space can detect and study celestial X-ray sources. The XMM-Newton mission is helping scientists to solve a number of cosmic mysteries, ranging from the enigmatic black holes to the origins of the Universe itself. Observing time on XMM-Newton is being made available to the scientific community, applying for observational periods on a competitive basis.
|Publisher And Registrant||European Space Agency|
|Credit Guidelines||European Space Agency, 2018-10-31T23:00:00Z, 080110, 17.56_20190403_1200. https://doi.org/10.5270/esa-5ge82i2|