A mixed-signal processor for X-ray spectrometry and tracking in the GAPS experiment

被引:1
|
作者
Re V. [1 ,3 ]
Ghislotti L. [1 ]
Lazzaroni P. [1 ,3 ]
Manghisoni M. [1 ,3 ]
Riceputi E. [1 ,3 ]
Ratti L. [2 ,3 ]
Boezio M. [4 ]
Zampa G. [4 ]
Fabris L. [5 ]
机构
[1] Università di Bergamo, Dipartimento di Ingegneria e Scienze Applicate, Viale Marconi 5, Dalmine
[2] Università di Pavia, Dipartimento di Ingegneria Industriale e dell'Informazione, Via Ferrata, 1, Pavia
[3] INFN, Sezione di Pavia, Via Bassi, 6, Pavia
[4] INFN, Sezione di Trieste, località Padriciano 99, Trieste
[5] Oak Ridge National Laboratory, Oak Ridge, 37831, TN
关键词
CMOS; Front-end; Noise; Readout electronics;
D O I
10.1016/j.nima.2022.167617
中图分类号
学科分类号
摘要
This paper reports the design and experimental results from the characterization of an integrated circuit developed for the readout of the X-ray spectrometer and tracking system of the General AntiParticle Spectrometer (GAPS) balloon mission. GAPS will search for an indirect signature of dark matter through the detection of low-energy (<0.25 GeV/n) cosmic-ray antiprotons, antideuterons and antihelium nuclei. The ASIC, named SLIDER32 (32 channels Si-LI DEtector Readout ASIC), was fabricated in a 180 nm CMOS technology and is comprised of 32 analog readout channels, an 11-bit SAR ADC and a digital back-end section which is responsible for defining channel settings and for sending digital information to the data acquisition system. The core of the ASIC is a low-noise analog channel implementing a dynamic signal compression which makes the chip suitable for resolving both X-rays in the range of 20 to 100 keV and charged particles with energy deposition of up to 100 MeV. It features an energy resolution of 4 keV FWHM in the 20–100 keV range with a 40 pF detector capacitance, to clearly distinguish X-rays from antiprotonic or antideuteronic exotic atoms. The readout electronics of the ASIC will run at a temperature of about –40 °C, complying with a detector leakage current of the order of 5–10 nA per strip. © 2022 Elsevier B.V.
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