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首页> 外文会议>Conference on Space Telescopes and Instrumentation: Optical, Infrared, and Millimeter Wave >The Roman exoplanet imaging data challenge: A major community engagement effort
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The Roman exoplanet imaging data challenge: A major community engagement effort

机译：罗马Exoplanet成像数据挑战：主要的社区参与努力

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Organized by the Turnbull Science Investigation Team (SIT), the 2019-2020 Roman Exoplanet Imaging Data Challenge* (EIDC) launched in mid October 2019 and ran for eight months. This data challenge was a unique opportunity for exoplanet scientists of all backgrounds and experience levels to get acquainted with realistic Roman CGI (coronagraphic) simulated data with a new contrast regimes at 10~(-8) to 10~(-9) enabling to unveil planets down to the Neptune-mass in reflected light. Participating teamshad to recover the astrometry of an exoplanetary system combining precursor radial velocity data (also simulated across 15 years) with two to six coronagraphic imaging epochs (HLC and Star Shade). They had to perform accurate orbital fitting and determine the mass of any planet hidden in the data. It involved PSF subtraction techniques, post-processing and other astrophysics hurdles to overcome such as contamination sources (stellar, extragalactic and exozodiacal light). We organized four tutorial "hack-a-thon" eventsto get as many people on-board. The EIDC proved to be an excellent way to engage with the intricacies of the first mission to perform wavefront control in space, as a pathfinder to future flagship missions. It also generated a lot of positive interactions between open source package owners and a whole new set of young exoplanet scientists running them. As a community we are a few steps closer to being ready to analyze real CGI data!
机译：由特恩布尔科学调查队（SIT），在2019 - 2020罗马太阳系外行星成像数据的挑战在十月中旬推出2019 *（EIDC），然后跑掉了八个月主办。这些数据的挑战是对所有背景和经验水平的系外行星科学家一个独特的机会，在10〜（-8），以10结识现实罗马CGI（日冕）的模拟数据与新的对比度机制〜（-9），使揭幕行星下降到反射光的海王星质量。参与teamshad以回收外星系系统前体径向速度数据（也模拟跨越15岁）与二至六个日冕成像历元（HLC和星阴影）相结合的天体测量。他们必须进行精确的轨道配件，并确定隐藏在数据中的任何行星的质量。它涉及的PSF减法技术，后处理和其他天体物理学困难需要克服，如污染源（恒星，河外和exozodiacal光）。我们组织了四次教程“劈一个马拉松” eventsto让尽可能多的人在船上。的EIDC证明是接合与所述第一任务的复杂性，以在空间中执行波前控制，作为一个探路者未来主打任务的好方法。这也产生了许多开源包的业主和运行他们一个全新的一套年轻的太阳系外行星的科学家之间的积极互动的。作为一个社区，我们有一些步骤，更接近于准备分析真正的CGI的数据！

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