|Title||New Candidates for Supernova Remnants in the Large Magellanic Cloud|
|Author||Dr Patrick Kavanagh|
|Description||We propose observations of new candidates for X-ray supernova remnants (SNRs) in the Large Magellanic Cloud (LMC). Building on a successful campaign to observe candidates with ROSAT detections in past AOs (Proposal IDs 65188, 72044, 74180, 76406), we have expanded our selection criteria to include radio candidates with no X-ray detection. The proposed targets are located outside the LMC survey performed as a VLP in AO11. Three of the four targets are covered by ROSAT PSPC pointed observations, all located far off-axis and not identified as sources. The high sensitivity of XMM-Newton will allow us to detect SNRs that are X-ray faint due to their age or ambient medium, complete the sample of known SNRs to lower fluxes, and obtain information about abundances, densities, and supernova energies.|
|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, 2017-11-02T23:00:00Z, 078062, 17.56_20190403_1200. https://doi.org/10.5270/esa-vep22sa|