High Efficiency UV/Optical/NIR Detectors for Large Aperture Telescopes and UV Explorer Missions: Development of and Field Observations with Delta-doped Arrays
Shouleh Nikzad, April D. Jewell, Michael E. Hoenk, Todd Jones, John, Hennessy, Tim Goodsall, Alexander Carver, Charles Shapiro, Samuel R. Cheng,, Erika Hamden, Gillian Kyne, D. Christopher Martin, David Schiminovich, Paul, Scowen, Kevin France, Stephan McCandliss, Roxana E. Lupu

TL;DR
This paper reports on the development and field testing of delta-doped silicon detector arrays that enable high-efficiency UV/Optical/NIR detection for large telescopes and space missions, emphasizing technological advancements and practical deployments.
Contribution
It introduces high-throughput wafer-scale delta-doping technology for silicon detectors, along with innovations in coatings and processing, supporting upcoming space and astronomical missions.
Findings
Successful field observations and deployments of delta-doped arrays
High-yield wafer-scale processing achieved for detector fabrication
Enhanced detector performance with advanced coatings
Abstract
A number of exciting concepts are under development for Flagship, Probe class, Explorer class, and Suborbital class NASA missions in the ultraviolet/optical spectral ranges. These missions will depend on high performance silicon detector arrays being delivered affordably and in high numbers. In a focused effort we have advanced delta-doping technology to high throughput and high yield wafer-scale processing, encompassing a multitude of state-of-the-art silicon-based detector formats and designs. As part of this technology advancement and in preparation for upcoming missions, we have embarked on a number of field observations, instrument integrations, and independent evaluations of delta-doped arrays. In this paper, we present recent data and innovations from the Advanced Detectors and Systems program at JPL, including two-dimensional doping technology; our end-to-end post-fabrication…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
