High-Performance Large-Area Microchannel Plate Detectors for Particle Identification Applications

Autor: Till Cremer, Camden Ertley, Anil U. Mane, Satya D. Butler, Mark A. Popecki, Alexey Lyashenko, Jeffrey W. Elam, Cole J. Hamel, Michael J. Minot, Michael E. Stochaj, Michael R. Foley, Oswald H. W. Siegmund, Melvin Aviles
Rok vydání: 2020
Předmět:
Zdroj: 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).
Popis: ALD-GCA-MCPs are a technology advancement that affords microchannel plates (MCPs) with significant performance benefits compared to conventional MCP technology. Incom now routinely produces ALD-GCA-MCPs with dimensions up to 20 cm x 20 cm. Notable advancements and benefits over conventional lead-oxide based MCPs are larger size and higher mechanical stability, high and stable gain (>1e4for single MCP @ 1000 V, stable gain to ≥ 1 C/cm2 extracted charge), low dark counts (≤ 0.05 cts/sec/cm2), ~3x lower gamma-ray sensitivity, and the unique ability to individually customize and control the MCP resistance and secondary electron emission (SEE) amplification characteristics. ALD-GCA-MCPs find application in a variety of photon and charged particle counting applications and are particularly suited for applications that require fast timing, high spatial resolution, radiation hardness, and long detector life times, such as Ion-TOF, electron spectroscopies, and a variety of other analytical instruments. They can also be incorporated into low-power, low-background photodetectors suitable for applications in extreme environments such as remote sensing applications in rugged environments, in space flight instrumentation, as well as in high-energy physics and nuclear physics experiments. In this paper we will provide a brief ALD-GCA-MCP technology overview highlighting recent developments that focused on improving the glass capillary array (GCA) substrate, and their implications for large-area photodetectors and spectrometers used in nuclear and high energy physics, space science, and other sensing applications.
Databáze: OpenAIRE