A near-infrared pyramid wavefront sensor for the MMT

A near-infrared pyramid wavefront sensor for the MMT
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用于 MMT 的近红外金字塔波前传感器

DOI:
10.1117/12.2629419
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发表时间:
2022
期刊:
Proceedings of the SPIE
影响因子:
--
通讯作者:
Morzinski, Katie M.
Morzinski, Katie M.
中科院分区:
--
文献类型:
--
作者:
Taylor, Jacob;Sivanandam, Suresh;Anugu, Narsireddy;Butko, Adam;Chen, Shaojie;Durney, Olivier;Hardy, Tim;Lamb, Masen;Montoya, Manny;Morzinski, Katie M.

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MMTO自适应光学系外行星表征系统(MAPS)是对亚利桑那州霍普金斯山6.5米MMT天文台的持续升级。MAPS包括一个升级的自适应次镜(ASM),ARIES光谱仪的升级,以及一个新的AO系统,该系统包含一个光学和近红外(NIR; 0.9-1.8 μm)金字塔波前传感器(PyWFS)。近红外PyWFS将利用红外优化的双金字塔与SAPHIRA检测器耦合:低读取噪声电子雪崩光电二极管(eAPD)阵列。这个近红外PyWFS将通过允许使用更红的引导星(例如K & M矮星或银河平面中高度模糊的恒星)来提高MAPS的天空覆盖范围。到目前为止,定制设计的低温SAPHIRA相机已经得到充分的表征,可以在高雪崩增益下达到亚电子读取噪声。为了在交付天文台之前在闭环环境中测试相机的性能,设计并建造了一个AO测试台。除了测试SAPHIRA的性能外,该试验台还将用于测试和进一步开发MMTO的ASM的拟议空中校准程序。我们将报告我们的NIR PyWFS的预期性能改进,SAPHIRA在我们的测试平台上的闭环性能,以及我们的ASM校准程序的状态。
The MMTO Adaptive optics exoPlanet characterization System (MAPS) is an ongoing upgrade to the 6.5-meter MMT Observatory on Mount Hopkins in Arizona. MAPS includes an upgraded adaptive secondary mirror (ASM), upgrades to the ARIES spectrograph, and a new AO system containing both an optical and near-infrared (NIR; 0.9-1.8 μm) pyramid wavefront sensor (PyWFS). The NIR PyWFS will utilize an IR-optimized double pyramid coupled with a SAPHIRA detector: a low-read noise electron Avalanche Photodiode (eAPD) array. This NIR PyWFS will improve MAPS’s sky coverage by an order of magnitude by allowing redder guide stars (e.g. K & M-dwarfs or highly obscured stars in the Galactic plane) to be used. To date, the custom designed cryogenic SAPHIRA camera has been fully characterized and can reach sub-electron read noise at high avalanche gain. In order to test the performance of the camera in a closed-loop environment prior to delivery to the observatory, an AO testbed was designed and constructed. In addition to testing the SAPHIRA’s performance, the testbed will be used to test and further develop the proposed on-sky calibration procedure for MMTO’s ASM. We will report on the anticipated performance improvements from our NIR PyWFS, the SAPHIRA’s closed-loop performance on our testbed, and the status of our ASM calibration procedure.
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