论文标题

Atoca:一种处理顺序污染的算法。应用于Niriss Soss模式

ATOCA: an algorithm to treat order contamination. Application to the NIRISS SOSS mode

论文作者

Darveau-Bernier, Antoine, Albert, Loïc, Talens, Geert Jan, Lafrenière, David, Radica, Michael, Doyon, René, Cook, Neil J., Rowe, Jason F., Artigau, Étienne, Benneke, Björn, Cowan, Nicolas, Dang, Lisa, Espinoza, Néstor, Johnstone, Doug, Kaltenegger, Lisa, Lim, Olivia, Pelletier, Stefan, Piaulet, Caroline, Roy, Arpita, Roy, Pierre-Alexis, Splinter, Jared, Taylor, Jake, Turner, Jake D.

论文摘要

成功发布后,詹姆斯·韦伯(James Webb)太空望远镜正准备执行其主要任务之一,即外部活动气氛的特征。近红外成像仪和无频谱仪(NIRISS)的无物体slit无频谱(SOSS)模式是唯一专门为该目标设计的观察模式。它通过两个光谱衍射顺序具有宽的同时光谱范围(0.6--2.8 \,\ micron)。但是,由于机械限制,这两个订单在短范围内略微重叠,可能会在提取的光谱中引入``污染''信号。我们表明,对于典型的盒子提取,在1.6--2.8 \,\ micron \ range(订单1)上,此污染信号为1 \%或更少,在0.85---0.95 \,\ micron \ range(订单2)上最多可达1 \%。对于仅在通量物质中的时间变化的系外行星大气的观察(过境,叶绿节或相曲线),污染信号通常会偏向于行星大气光谱特征强度的1 \%的结果。为了解决这个问题,我们开发了算法来处理秩序污染(ATOCA)。通过在检测器上构造每个像素的线性模型,将基础入射频谱视为自由变量,Atoca能够同时提取两个顺序。我们表明,鉴于对空间痕量曲线的适当估计,吞吐量,波长溶液以及每个顺序的光谱分辨率内核,可以在全光谱范围内获得精确的提取光谱,可准确地获得PPM。

After a successful launch, the James Webb Space Telescope is preparing to undertake one of its principal missions, the characterization of the atmospheres of exoplanets. The Single Object Slitless Spectroscopy (SOSS) mode of the Near Infrared Imager and Slitless Spectrograph (NIRISS) is the only observing mode that has been specifically designed for this objective. It features a wide simultaneous spectral range (0.6--2.8\,\micron) through two spectral diffraction orders. However, due to mechanical constraints, these two orders overlap slightly over a short range, potentially introducing a ``contamination'' signal in the extracted spectrum. We show that for a typical box extraction, this contaminating signal amounts to 1\% or less over the 1.6--2.8\,\micron\ range (order 1), and up to 1\% over the 0.85--0.95\,\micron\ range (order 2). For observations of exoplanet atmospheres (transits, eclipses or phase curves) where only temporal variations in flux matter, the contamination signal typically biases the results by order of 1\% of the planetary atmosphere spectral features strength. To address this problem, we developed the Algorithm to Treat Order ContAmination (ATOCA). By constructing a linear model of each pixel on the detector, treating the underlying incident spectrum as a free variable, ATOCA is able to perform a simultaneous extraction of both orders. We show that, given appropriate estimates of the spatial trace profiles, the throughputs, the wavelength solutions, as well as the spectral resolution kernels for each order, it is possible to obtain an extracted spectrum accurate to within 10\,ppm over the full spectral range.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源