Simulating JWST/NIRCam Color Selection of High-redshift Galaxies
Simulating JWST/NIRCam Color Selection of High-redshift Galaxies
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DOI：
10.3847/1538-4357/ab7dc3
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发表时间：
2020-03
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通讯作者：
K. Hainline;R. E. Hviding;M. Rieke;I. Shivaei;R. Endsley;E. Curtis-Lake;R. Smit;C. Williams;S. Alberts;Kristan N. K Boyett;A. Bunker;E. Egami;M. Maseda;S. Tacchella;C. Willmer
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作者：
K. Hainline;R. E. Hviding;M. Rieke;I. Shivaei;R. Endsley;E. Curtis-Lake;R. Smit;C. Williams;S. Alberts;Kristan N. K Boyett;A. Bunker;E. Egami;M. Maseda;S. Tacchella;C. Willmer
即将到来的詹姆斯韦伯太空望远镜上的近红外相机（NIRCam）仪器将提供最遥远星系的前所未有的视图。在未来的深NIRCam河外巡天的准备工作中，使用莱曼辍学技术来理解高红移星系的颜色选择是至关重要的。为此，我们使用JADes的银河系外超深人工实现模拟目录来模拟一系列具有现实噪声估计的银河系外调查。这使我们能够探索不同的颜色选择及其对恢复的高红移星系和低红移闯入者的数密度的影响。我们探讨了调查深度，检测信噪比，颜色选择方法，检测滤波器的选择，以及Ly α发射线的存在如何影响所产生的辍学选择的样品。我们发现，红选择颜色减少恢复高红移星系的数量，但最终样本的整体精度更高。此外，我们发现，利用两个或三个颜色削减的方法有更高的准确性，因为它们能够选择对低红移的静止和暗淡的尘埃闯入者星系。我们还探索了褐矮星的近红外颜色，并证明，虽然它们被预测为具有低的天空密度，但它们最有可能在F090W辍学选择中被恢复，但有颜色切割有助于减轻这种污染。总的来说，我们的研究结果提供了NIRCam选择方法，以帮助创建大，纯样品的超高红移星系测光。
The Near Infrared Camera (NIRCam) instrument on the upcoming James Webb Space Telescope will offer an unprecedented view of the most distant galaxies. In preparation for future deep NIRCam extragalactic surveys, it is crucial to understand the color selection of high-redshift galaxies using the Lyman dropout technique. To that end, we have used the JAdes extraGalactic Ultradeep Artificial Realizations mock catalog to simulate a series of extragalactic surveys with realistic noise estimates. This enables us to explore different color selections and their impact on the number density of recovered high-redshift galaxies and lower-redshift interlopers. We explore how survey depth, detection signal-to-noise ratio, color selection method, detection filter choice, and the presence of the Lyα emission line affects the resulting dropout selected samples. We find that redder selection colors reduce the number of recovered high-redshift galaxies, but the overall accuracy of the final sample is higher. In addition, we find that methods that utilize two or three color cuts have higher accuracy because of their ability to select against low-redshift quiescent and faint dusty interloper galaxies. We also explore the near-IR colors of brown dwarfs and demonstrate that, while they are predicted to have low on-sky densities, they are most likely to be recovered in F090W dropout selection, but there are color cuts that help to mitigate this contamination. Overall, our results provide NIRCam selection methods to aid in the creation of large, pure samples of ultra-high-redshift galaxies from photometry alone.