论文标题
最大似然系统效应建模和匹配的过滤，以检测苔丝的跨核对象
Maximum Likelihood Systematic Effect Modeling and Matched Filtering to Detect Trans-Neptunian Objects with TESS
论文作者
论文摘要
我们提出了使用Tess Mission的数据搜索跨北河对象（TNOS）的管道，其中包括一个基于新颖的优化框架，用于减去散射光和指向抖动的效果。我们采用的背景减法程序与移动平均线相结合时，可以看到诸如90366 SEDNA，2015 BP519的TNO，并带有“肉眼”。此外，此过程还使我们能够通过直接视觉观察识别两个TNO候选者（随后确定为2003 UZ413和2005 RR43）。为了自动提取候选TNO的提取，我们应用了一个匹配的过滤器，该过滤器可以调节到不同距离和轨道倾斜的物体。我们还通过高度置信度自动恢复了三个跨核对象的信号来证明算法的性能。我们通过合成实验进一步验证该方法，该实验测试恢复速率是大小和距离的函数。我们发现距离与幅度之间存在权衡。控制幅度，更容易检测更快的移动对象。我们的方法可以在250 au的距离处检测对象，以+21的幅度，并以较差的幅度接近对象。在单个现代GPU（NVIDIA A100）上，该方法可以在5分钟内在1000 2048 x 2048帧上搜索100个轨迹，比以前的方法快得多。该方法可用于对TNO和潜在行星进行大规模全自动调查。
We present a pipeline for searching for trans-Neptunian objects (TNOs) using data from the TESS mission, that includes a novel optimization-based framework for subtracting the effects of scattered light and pointing jitter. The background subtraction procedure we adopt, when combined with a moving average, allows one to see TNOs such as 90366 SEDNA, 2015 BP519 with the "naked eye." Moreover, this procedure also enabled us to identify two TNO candidates via direct visual observation (subsequently identified to be 2003 UZ413 and 2005 RR43). To automate the extraction of candidate TNOs, we apply a matched filter that can be tuned to objects at different distances and orbital inclinations. We also demonstrate the performance of the algorithm by recovering signals of three trans-Neptunian objects automatically with a high level of confidence. We further validate the approach via synthetic experiments that test recovery rate as a function of magnitude and distance. We find that there is a trade-off between distance and magnitude; controlling for magnitude, it is easier to detect faster moving objects. Our method can detect objects at distances of 250 AU for magnitudes of +21, and closer objects at fainter magnitudes. On a single contemporary GPU (NVIDIA A100) the method can search for 100 trajectories on 1000 2048 x 2048 frames in 5 minutes, dramatically faster than previous approaches. This method can be used to perform large scale fully automated surveys for TNOs and potential Planet Nine candidates.
