The launch of the James Webb Space Telescope (JWST) in 2021 will revolutionize exoplanetary science by providing detailed characterizations of exoplanets within the infrared range of 3–13 microns. This is of particular interest to the field of direct imaging, where empirical models that remove excess starlight from imaged extrasolar systems have proven vital to the discovery of exoplanets. pyKLIP is one of the most modern python libraries with such capabilities, allowing its users to reveal exoplanets hidden behind the starlight. However, the pyKLIP algorithms are not presently able to handle coronagraph usage with the incoming JWST data. In preparation for the launch of this telescope, we upgraded pyKLIPs ability to correct for a coronagraph's effect on the throughput of off-axis sources when determining photometry. Given the coronagraph’s transmission profile, pyKLIP v2.2 is now able to successfully account for each of NIRCam’s five coronagraphs.

詹姆斯·韦伯太空望远镜（JWST）将于2021年发射，它将通过提供3-13微米红外范围内系外行星的详细特征，彻底改变系外科学。这是直接成像领域特别感兴趣的领域，在该模型中，经验模型已从成像的太阳系外系统中去除多余的星光，事实证明对发现系外行星至关重要。pyKLIP是具有此类功能的最现代的python库之一，它的用户可以使用它揭示隐藏在星光背后的系外行星。但是，pyKLIP算法目前无法处理传入JWST数据的日冕仪用法。为了准备发射该望远镜，我们升级了pyKLIP确定光度法时，能够校正日冕仪对离轴光源通量的影响。有了日冕仪的透射曲线，pyKLIP v2.2现在可以成功地说明NIRCam的五张日冕仪中的每一个。