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arXiv 2402.03504astro-ph.GA
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JWST 分辨恒星族群早期发布科学计划 V:用于 NIRCam 和 NIRISS 的 DOLPHOT 恒星测光

The JWST Resolved Stellar Populations Early Release Science Program V. DOLPHOT Stellar Photometry for NIRCam and NIRISS

Daniel R. Weisz, Andrew E. Dolphin, Alessandro Savino, Kristen B. W. McQuinn, Max J. B. Newman, Benjamin F. Williams, Nitya Kallivayalil, Jay Anderson, Martha L… 展开作者

Daniel R. Weisz, Andrew E. Dolphin, Alessandro Savino, Kristen B. W. McQuinn, Max J. B. Newman, Benjamin F. Williams, Nitya Kallivayalil, Jay Anderson, Martha L. Boyer, Matteo Correnti, Marla C. Geha, Karin M. Sandstrom, Andrew A. Cole, Jack T. Warfield, Evan D. Skillman, Roger E. Cohen, Rachael Beaton, Alessandro Bressan, Alberto Bolatto, Michael Boylan-Kolchin, Alyson M. Brooks, James S. Bullock, Charlie Conroy, Michael C. Cooper, Julianne J. Dalcanton, Aaron L. Dotter, Tobias K. Fritz, Christopher T. Garling, Mario Gennaro, Karoline M. Gilbert, Leo Girardi, Benjamin D. Johnson, L. Clifton Johnson, Jason Kalirai, Evan N. Kirby, Dustin Lang, Paola Marigo, Hannah Richstein, Edward F. Schlafly, Erik J. Tollerud, Andrew Wetzel

AI总结:

本研究为 DOLPHOT 测光软件新增 NIRCam 和 NIRISS 模块,经球状星团等测试验证其高精度,并分析了系统误差来源,提供了使用指南和数据产品。

摘要:

我们为 DOLPHOT(一个广泛使用的拥挤场恒星测光软件包)提供了 NIRCam 和 NIRISS 模块。我们详细描述了这些模块,包括像素掩膜、天体测量对齐、恒星查找、测光、星表生成以及人工恒星测试(ASTs)。我们使用 M92(银河系球状星团)、Draco II(超暗矮星系)和 WLM(恒星形成矮星系)的 NIRCam 和 NIRISS 图像对这些模块进行了测试。DOLPHOT 的测光结果高度精确,其颜色-星等图比 2017 年原始项目设计时的预期更深、定义更好。DOLPHOT 测光的主要系统不确定性源于模型与观测点扩散函数(PSFs)的不匹配以及孔径校正,各自对测光误差预算的贡献约为 $\lesssim0.01$ 星等。包含电荷扩散和像素间电容效应的 WebbPSF 模型 1.2 版本显著降低了与 PSF 相关的不确定性。我们还观察到 NIRCam 零点存在轻微的($\lesssim0.05$ 星等)芯片间差异,这将由 JWST 流量校准计划解决。球状星团观测对于测光校准至关重要。测光的时间变化通常为 $\lesssim0.01$ 星等,尽管罕见的大型错位事件可能引入高达 0.08 星等的误差。我们提供了推荐的 DOLPHOT 参数、测光缩减指南以及改进观测策略的建议。我们的 ERS DOLPHOT 数据产品可在 MAST 上获取,并配有全面的在线文档和教程,用于将 DOLPHOT 与 JWST 成像数据结合使用。

英文摘要:

We present NIRCam and NIRISS modules for DOLPHOT, a widely-used crowded field stellar photometry package. We describe details of the modules including pixel masking, astrometric alignment, star finding, photometry, catalog creation, and artificial star tests (ASTs). We tested these modules using NIRCam and NIRISS images of M92 (a Milky Way globular cluster), Draco II (an ultra-faint dwarf galaxy), and WLM (a star-forming dwarf galaxy). DOLPHOT's photometry is highly precise and the color-magnitude diagrams are deeper and have better definition than anticipated during original program design in 2017. The primary systematic uncertainties in DOLPHOT's photometry arise from mismatches in the model and observed point spread functions (PSFs) and aperture corrections, each contributing $\lesssim0.01$ mag to the photometric error budget. Version 1.2 of WebbPSF models, which include charge diffusion and interpixel capacitance effects, significantly reduced PSF-related uncertainties. We also observed minor ($\lesssim0.05$ mag) chip-to-chip variations in NIRCam's zero points, which will be addressed by the JWST flux calibration program. Globular cluster observations are crucial for photometric calibration. Temporal variations in the photometry are generally $\lesssim0.01$ mag, although rare large misalignment events can introduce errors up to 0.08 mag. We provide recommended DOLPHOT parameters, guidelines for photometric reduction, and advice for improved observing strategies. Our ERS DOLPHOT data products are available on MAST, complemented by comprehensive online documentation and tutorials for using DOLPHOT with JWST imaging data.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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