|Title||On the stellar X-ray content of the Open Cluster Remnant NGC 1901|
|Author||Dr Raimundo Lopes de Oliveira|
|Description||Open Cluster Remnants (OCRs) are poorly populated groups of stars in an advanced stage of the evolution of open clusters. These systems are specially rich in late-type stars and binary systems of stars, of which a fraction is predicted by numerical simulations and evolutionary models to be RS CVn, cataclysmic variables and low-mass X-ray binaries. X-ray observations play an important role for the identification of those kinds of interacting binaries, which is crucial to validate the current models describing the final stages of star clusters. We propose to investigate for the first time the X-ray content of an OCR, NGC 1901, looking for signatures of accreting-interacting binary systems and active stars in order to put constraints on the evolutionary models.|
|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, 2010-05-27T00:00:00Z, 060298, 17.56_20190403_1200. https://doi.org/10.5270/esa-yntui9t|