Optimizing the Noise Performance of Multielectrode Image Charge Detectors Constructed on Printed Circuit Boards

Rozsa, Jace; Song, Yong Won; Kerr, Austin; Debaene, Naomi; Austin, Daniel E.; Chiang, Shiuh–hua Wood; Hawkins, Aaron R.

doi:10.1109/tim.2021.3073393

Cited by 4 publications

(1 citation statement)

References 28 publications

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“…a voltage output proportional to the input. But the electrode geometry is highly application-specific [8] and the total input capacitance of the charge amplifier is a function of both the electrode geometry and electrode connections. Therefore, the amplifier must have a high open-loop gain to maintain a consistent closed-loop gain for precise charge measurement [10].…”

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confidence: 99%

The Digital-Assisted Charge Amplifier: A Digital-Based Approach to Charge Amplification

Song

Smith

Karlinsey

et al. 2022

IEEE Trans. Circuits Syst. I

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A charge amplifier incorporates digital circuits as 1 an alternative to the classic analog amplifier to achieve a high 2 open-loop gain to maintain a consistent closed-loop gain over 3 input capacitance variations. The digital-assisted charge amplifier 4 employs a comparator, digital control logic, differential charge 5 pump, current sources, common-mode feedback, and clock gen-6 erator. A detailed analysis studies the amplifier stability and 7 trade-off between ripple voltage and settling speed. A novel two-8 step reset scheme and tri-state charge pump minimize the output 9 offset due to ripple residues. Fabricated in a 180-nm CMOS 10 process, the digital-assisted amplifier achieves an open-loop gain 11 of 101 dB, closed-loop gain of 15.0 µV/e-, input-referred noise of 12 221 erms, and output swing of 3 V while consuming 2.19 mW. 13 The amplifier also demonstrates the ability to amplify a dynamic 14 input current using a custom opto-electronic test setup. The 15 amplifier maintains a consistent closed-loop gain across parasitic 16

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mentioning

confidence: 99%

The Digital-Assisted Charge Amplifier: A Digital-Based Approach to Charge Amplification

Song

Smith

Karlinsey

et al. 2022

IEEE Trans. Circuits Syst. I

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CS-ResNet: Cost-sensitive residual convolutional neural network for PCB cosmetic defect detection

Zhang

Jiang

2021

Expert Systems with Applications

102

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Flow-through charge detection mass spectrometry to categorize micron-sized particles

Allred

Christie

Song

et al. 2023

Review of Scientific Instruments

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This paper outlines the use of charge detection mass spectrometry to simultaneously measure the charge and mass of micron-sized particles. In a flow-through instrument, the detection of charge was achieved through charge induction onto cylindrical electrodes that connect to a differential amplifier. Mass was determined by particle acceleration under the influence of an electric field. Particles ranging from 30 to 400 fg (3 to 7 µm diameter) were tested. The detector design can measure particle mass within 10% accuracy for particles up to 620 fg with total charge ranging from 500 e− to 56 ke−. This charge and mass range are expected to be relevant for dust on Mars.

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Optimizing the Noise Performance of Multielectrode Image Charge Detectors Constructed on Printed Circuit Boards

Cited by 4 publications

References 28 publications

The Digital-Assisted Charge Amplifier: A Digital-Based Approach to Charge Amplification

The Digital-Assisted Charge Amplifier: A Digital-Based Approach to Charge Amplification

CS-ResNet: Cost-sensitive residual convolutional neural network for PCB cosmetic defect detection

Flow-through charge detection mass spectrometry to categorize micron-sized particles

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