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16 July 2018 The InfraRed Imaging Spectrograph (IRIS) for TMT: photometric precision and ghost analysis
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Abstract
The InfraRed Imaging Spectrograph (IRIS) is a first-light instrument for the Thirty Meter Telescope (TMT) that will be used to sample the corrected adaptive optics field by NFIRAOS with a near-infrared (0.8 - 2.4 µm) imaging camera and Integral Field Spectrograph (IFS). In order to understand the science case specifications of the IRIS instrument, we use the IRIS data simulator to characterize photometric precision and accuracy of the IRIS imager. We present the results of investigation into the effects of potential ghosting in the IRIS optical design. Each source in the IRIS imager field of view results in ghost images on the detector from IRIS’s wedge filters, entrance window, and Atmospheric Dispersion Corrector (ADC) prism. We incorporated each of these ghosts into the IRIS simulator by simulating an appropriate magnitude point source at a specified pixel distance, and for the case of the extended ghosts redistributing flux evenly over the area specified by IRIS’s optical design. We simulate the ghosting impact on the photometric capabilities, and found that ghosts generally contribute negligible effects on the flux counts for point sources except for extreme cases where ghosts coalign with a star of ▵m>2 fainter than the ghost source. Lastly, we explore the photometric precision and accuracy for single sources and crowded field photometry on the IRIS imager.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Nils Rundquist, Gregory Walth, Shelley A. Wright, Ryuji Suzuki, Tuan Do, Edward L. Chapin, Eric Chisholm, Jennifer Dunn, Yutaka Hayano, Chris Johnson, James E. Larkin, Reed L. Riddle, Matthias Schoeck, and Ji Man Sohn "The InfraRed Imaging Spectrograph (IRIS) for TMT: photometric precision and ghost analysis", Proc. SPIE 10702, Ground-based and Airborne Instrumentation for Astronomy VII, 10702A7 (16 July 2018); doi: 10.1117/12.2314258; https://doi.org/10.1117/12.2314258
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