Marshall Grazing Incidence X-ray Spectrometer Slitjaw Imager Implementation and Performance
Abstract
The Marshall Grazing Incidence X-ray Spectrometer (MaGIXS) is a slit spectrograph designed to fly on a sounding-rocket and to observe the Sun in soft X-rays (SXRs) to determine the frequency of coronal heating events. The MaGIXS wavelength range (≈ 0.6 - 2.5 nm) has a significant number of diagnostic lines formed at coronal temperatures, but developing SXR instrumentation presents several challenges, including how to efficiently perform context imaging. A slitjaw image is required for pointing the instrument during flight and for co-alignment with coordinated data sets after flight, but operating in the SXR regime implies that a simple normal-incidence optical system could not be employed to image the same wavelength range as the spectrograph. Therefore, to avoid the complexity of additional grazing-incidence optics, the MaGIXS slitjaw system is designed to image in the extreme ultraviolet (EUV) between roughly 20 - 80 nm. The temperature sensitivity of this EUV bandpass will observe complementary features visible to the MaGIXS instrument. The image on the slitjaw is then converted, via a phosphor coating, to readily detectable visible light. Presented here is the design, implementation, and characterization of the MaGIXS slitjaw imaging system. The slitjaw instrument is equipped with an entrance filter that passes EUV light, along with X-rays, onto the slit, exciting a fluorescent coating and causing it to emit in the visible. This visible light can then be imaged by a simple implementation of commercial off-the-shelf (COTS) optics and low-light camera. Such a design greatly reduces the complexity of implementing and testing the slitjaw imager for an X-ray instrument system and will accomplish the pointing and co-alignment requirements for MaGIXS.
- Publication:
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Solar Physics
- Pub Date:
- June 2021
- DOI:
- 10.1007/s11207-021-01834-0
- Bibcode:
- 2021SoPh..296...90V
- Keywords:
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- X-ray spectrum;
- Instrumentation and data management