Modeling effects of charge sharing on the response of the FOXSI sounding rockets
Modeling effects of charge sharing on the response of the FOXSI sounding rockets
复制标题
模拟电荷共享对 FOXSI 探空火箭响应的影响
DOI:
10.1117/12.2629443
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发表时间:
2022
期刊:
影响因子:
--
通讯作者:
Krucker Sam
中科院分区:
文献类型:
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作者:
Duncan Jessie;Athiray P. Subramania;Musset Sophie;Vievering Juliana;Nagasawa Shunsaku;Buitrago Casas Juan Camilo;Glesener Lindsay;Takahashi Tadayuki;Watanabe Shin;Zhang Yixian;Christe Steven;MacDowell Alastair;Krucker Sam
The Focusing Optics X-ray Solar Imager (FOXSI ) sounding rockets are the first solar-dedicated direct-focusing hard X-ray (HXR) instruments. FOXSI rockets use Wolter-1 style HXR optics and solid state double-sided strip detectors. FOXSI images of solar HXR sources are influenced by the point spread function of the optics, the 2D segmentation of the detector into strip intersections, and noise in the detector readout. For FOXSI-4, new high-resolution optics will cause the instrument angular resolution to be limited by the minimum strip pitch of its CdTe detectors (60 μm).FOXSI images are also affected by charge sharing in the detector, when one incident photon causes signals in multiple adjacent strips. Charge sharing is more likely the closer a photon is incident to a strip boundary, making it a sub-strip-position-dependent effect. Tests of a FOXSI-3 CdTe detector (with 60 μm strip pitch) at a synchrotron beamline (the Advanced Light Source) have allowed for characterization of charge shared events. This knowledge is used to develop new methods for achieving sub-strip resolution in FOXSI detectors (0.6-3", depending on incident photon position), applicable in the future to the FOXSI-4 detectors (or other similar systems).To evaluate the performance of these methods, a model has been developed combining the FOXSI-3 optical and detector response, the latter incorporating lab-measured properties of charge sharing in the system. Using this model, generated sources are convolved with the FOXSI-3 system to simulate FOXSI data. A corresponding deconvolution process then extracts a reconstructed source from the simulated data using the new imaging methods, and the original and reconstructed sources can be compared. We show that the reconstructed source approximates the original with higher spatial resolution than that which results from using strip-based position knowledge only. Notably, we demonstrate a new ability to resolve independent sources located only one strip pitch apart.