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Exploiting the Next Generation Transit Survey

Exploiting the Next Generation Transit Survey
利用下一代交通调查
批准号:
2107878
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2018
资助国家:
英国
项目状态:
已结题
起止时间:
2018 至 --

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中文摘要
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英文摘要
The Next Generation Transit Survey (NGTS) is a new search for extra-solar planets transiting their host stars. Its primary goal is to find Neptune-sized planets, and perhaps the largest rocky planets ("Super-Earths") around stars that are also bright enough to enable follow-up studies to determine their masses and densities, and to investigate the planets' atmospheric compositions, for example with the forthcoming James Webb Space Telescope (JWST). Already, NGTS has accumulated several hundred Terabytes of data, and millions of images, that have to be searched automatically by sophisticated algorithms and bespoke software. Excitingly, NGTS's first planets have now been discovered and will be published shortly. At Leicester, we are leading the photometric follow-up of NGTS exoplanet candidates. After carefully selecting candidates from among thousands of light curves highlighted by the automatic algorithms, we use telescopes at the South African Astronomical Observatory to confirm bona fide transits, identify mimics such as background binary stars, and to refine the orbital periods. The NGTS team at Leicester would like to attract an enthusiastic PhD student to participate in the work leading to these exciting exoplanet discoveries. In particular, during 2018 NASA will launch its TESS mission which will find transiting exoplanets around hundreds of nearby and bright stars. We can use NGTS data to confirm TESS discoveries and remove background binaries, provide additional long term data to refine orbital periods and ephemerises, and hunt for long period planets (NGTS monitors stars for much longer than TESS). In addition, NGTS is gathering long term, high cadence, observations of a host of different types of variable stars and other celestial objects. We would particularly encourage a PhD student to exploit some of these non-exoplanet data, for example by searching for rare types of binary star and investigating the key science that those objects can address.
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