|Title||X-ray Investigation of Six SNR Candidates in the LMC|
|Author||Dr Sean Points|
|Description||The Large Magellanic Cloud (LMC), with its low foreground absorption and proximity, offers the ideal site to study a large sample of supernova remnants (SNRs) in detail, both spatially and energetically. It is possible to obtain a relatively complete sample of SNRs in the LMC to examine both global properties and the subclasses of SNRs. Toward this goal, we are identifying new SNRs using multi-wavelength data. Our new SNR candidates are generally fainter than the known sample, and may represent a previously missed population. Here we request XMM-Newton observations of six optically identified SNR candidates. These observations will allow us to confirm the nature, study the physical structure and evolution, and use the abundance anomaly to investigate types of supernova progenitors of these new SNRs.|
|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, 2006-10-28T00:00:00Z, 030141, 17.56_20190403_1200. https://doi.org/10.5270/esa-5rcbymd|