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Spectrum extraction from detector plane images for the medium-resolution spectrometer of the Mid-Infrared Instrument on-board the James Webb Space Telescope

机译:詹姆斯·韦伯太空望远镜搭载中红外仪器中分辨率光谱仪从探测器平面图像中提取光谱

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The Mid-Infrared Instrument (MIRI) on-board the James Webb Space Telescope (JWST) performs medium-resolution spectroscopy in the 5 to 28.5micron wavelength range. In this paper two algorithms are presented that will be used to extract 1D spectra from the 2D absolutely calibrated detector science frames acquired with the Medium-Resolution Spectrometer (MRS) of MIRI. The first spectral extraction algorithm performs standard aperture photometry on point and extended sources. The second algorithm, applicable only to point sources, uses the instrument point spread function (PSF) and the pixel signal variance as a weighting function, to extract the signal from the detector pixels in an optimized way. This "optimal" extraction is also optimal in the case of faint source observations. The two algorithms are tested on MIRI ground test data and compared. For point sources, the optimal extraction algorithm is found to be more reliable than the aperture extraction algorithm.
机译:中红外仪器(MIRI)在板上詹姆斯韦布空间望远镜(JWST)在5至28.5micron波长范围内执行中分辨率光谱。在本文中,提出了两种算法,其将用于提取由Miri的中分辨率光谱仪(MRS)获取的2D绝对校准的检测器科学帧中的1D光谱。第一光谱提取算法在点和扩展源上执行标准光圈光度测量。第二算法仅适用于点源,使用仪器点扩展功能(PSF)和像素信号方差作为加权函数,以优化的方式从检测器像素中提取信号。在微弱的源观察的情况下,这种“最佳”提取也是最佳的。这两种算法在Miri接地测试数据上进行了测试并进行比较。对于点源,发现最佳提取算法比孔径提取算法更可靠。

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