Pixel Readout Research Articles

Spektr–UF Mission Spectrograph Space Qualified CCD Detector Subsystem

Spektr–UF (World Space Observatory Ultraviolet, WSO-UV) is a Russian-led international collaboration aiming to develop a large space-borne 1.7 m Ritchey–Chretién telescope with science instruments to study the Universe in ultraviolet wavelengths. The WSO-UV spectrograph (WUVS) consists of three channels: two high-resolution channels (R = 50,000) with spectral ranges of 115–176 nm and 174–310 nm, and a low-resolution (R = 1000) channel with a spectral range of 115–305 nm. Each of the three channels has an almost identical custom detector consisting of a CCD inside a vacuum enclosure, and drive electronics. The main challenges of the WUVS detectors are to achieve high quantum efficiency in the FUV-NUV range, to provide low readout noise (3 e− at 50 kHz) and low dark current (<12 e−/pixel/hour), to operate with integral exposures of up to 10 h and to provide good photometric accuracy. A custom vacuum enclosure and three variants of a custom CCD272-64 sensor with different UV AR coatings optimised for each WUVS channel were designed. The enclosure prevents contamination and maintains the CCD at the operating temperature of −100 ∘C, while the temperature of the WUVS optical bench is +20 ∘C. A camera electronics box (CEB) that houses the CCD drive electronics was developed. Digital correlated double sampling technology allows for extremely low readout noise and flexible frequency for normal and binned pixel readout modes. This paper presents the WUVS detector design drivers, methods for extending the service life of the CCD sensors working with low signals in a space radiation environment and the key calculated parameters and results of the engineering qualification model qualification campaign.

Interleaved signal multiplexing readout in depth encoding Prism-PET detectors.

Given the large number of readout pixels in clinical positron emission tomography (PET) scanners, signal multiplexing is an indispensable feature to reduce scanner complexity, power consumption, heat output, andcost. In this paper, we introduce interleaved multiplexing (iMux) scheme that utilizes the characteristic light-sharing pattern of depth-encoding Prism-PET detector modules with single-ended readout. In the iMux readout, four anodes from every other silicon photomultiplier (SiPM) pixels across rows and columns, which overlap with four distinct light guides, are connected to the same application-specific integrated circuit (ASIC) channel. The 4-to-1 coupled Prism-PET detector module was used which consisted of a 16× 16 array of 1.5 × 1.5 × 20 mm3 lutetium yttrium oxyorthosilicate (LYSO) scintillator crystals coupled to an 8 × 8 array with 3× 3mm2 SiPM pixels. A deep learning-based demultiplexing model was investigated to recover the encoded energy signals. Two different experiments were performed with non-multiplexed and multiplexed readouts to evaluate the spatial, depth of interaction (DOI), and timing resolutions of our proposed iMuxscheme. The measured flood histograms, using the decoded energy signals from our deep learning-based demultiplexing architecture, achieved perfect crystal identification of events with negligible decoding error. The average energy, DOI, and timing resolutions were 9.6 ± 1.5%, 2.9 ± 0.9mm, and 266 ± 19ps for non-multiplexed readout and 10.3 ± 1.6%, 2.8 ± 0.8mm, and 311 ± 28ps for multiplexed readout,respectively. Our proposed iMux scheme improves on the already cost-effective and high-resolution Prism-PET detector module and provides 16-to-1 crystal-to-readout multiplexing without appreciable performance degradation. Also, only four SiPM pixels are shorted together in the 8× 8 array to achieve 4-to-1 pixel-to-readout multiplexing, resulting in lower capacitance per multiplexedchannel.

Highly-parallelized simulation of a pixelated LArTPC on a GPU

The rapid development of general-purpose computing on graphics processing units (GPGPU) is allowing the implementation of highly-parallelized Monte Carlo simulation chains for particle physics experiments. This technique is particularly suitable for the simulation of a pixelated charge readout for time projection chambers, given the large number of channels that this technology employs. Here we present the first implementation of a full microphysical simulator of a liquid argon time projection chamber (LArTPC) equipped with light readout and pixelated charge readout, developed for the DUNE Near Detector. The software is implemented with an end-to-end set of GPU-optimized algorithms. The algorithms have been written in Python and translated into CUDA kernels using Numba, a just-in-time compiler for a subset of Python and NumPy instructions. The GPU implementation achieves a speed up of four orders of magnitude compared with the equivalent CPU version. The simulation of the current induced on 10^3 pixels takes around 1 ms on the GPU, compared with approximately 10 s on the CPU. The results of the simulation are compared against data from a pixel-readout LArTPC prototype.

In-orbit performance of ME onboard Insight-HXMT in the first 5 years

The medium-energy X-ray telescope (ME) is a collimated X-ray telescope onboard the Insight hard X-ray modulation telescope (Insight-HXMT) satellite. It has 1728 Si-PIN pixels readout using 54 low noise application-specific integrated circuits (ASICs). ME covers the energy range of 5–30 keV and has a total detection area of 952 cm $$^2$$ . The typical energy resolution of ME at the beginning of the mission is 3 keV at 17.8 keV (full width at half maximum, FWHM), and the time resolution is 255 $$\mu $$ s. In this study, we present the in-orbit performance of ME in its first 5 years of operation. The performance of ME was monitored using onboard radioactive sources and astronomical X-ray objects. ME carries six $$^{241}$$ Am radioactive sources for onboard calibration, which can continuously illuminate the calibration pixels. The long-term performance evolution of ME can be quantified using the properties of the accumulated spectra of the calibration pixels. In addition, observations of the Crab Nebula and the pulsar were used to check the long-term evolution of the detection efficiency as a function of energy. After 5 years of operation, 742 cm $$^2$$ of the Si-PIN pixels were still working normally. The peak positions of $$^{241}$$ Am emission lines gradually shifted to the high-energy region, implying a slow increase in ME gain of $$1.43\%$$ . A comparison of the ME spectra of the Crab Nebula and the pulsar shows that the E–C relations and the redistribution matrix file are still acceptable for most data analysis works, and there is no detectable variation in the detection efficiency.

A 256 × 256 CMOS image sensor with differential readout and data converter circuits

SummaryIn this paper, a 256 × 256 CMOS image sensor is introduced in which the pixel signals are read and converted into digital data in a completely differential mode. This technique helps to obtain pixel signals with higher linearity and accuracy compared with conventional methods. Improving the linearity and accuracy of the image sensor has a direct impact on increasing the quality of the generated images. The simulation results of the proposed pixel readout circuit show that the THD, SINAD, SNR, and SFDR are 0.45%, 47 dB, 66 dB, and 46 dB, respectively. The voltage gain of the proposed readout circuit is about 1, causing it to read the photodetector signals more accurately than the conventional methods. A full differential single‐slope ADC with a working frequency of 50 Mhz has the task of converting the pixel signal to 10 bits of digital data. The total power consumption of a column of sensors is about 80 μW. All the circuits are designed and implemented using 0.18‐μm CMOS technology in Virtuoso and simulated by the SPECTRE.

A fast simulation model of 2-D photoelectron track images for gaseous X-ray polarimetry

Gaseous polarimetry applies in soft X-ray polarization detection, typically like the Gas Pixel detector (GPD) and the micropattern time projection chamber (TPC). The polarization phase angles resolve from photoelectron track trajectories for both of them. The photoelectron track images derived from read-out pixels or strips are the key to determining the performance of the polarimetry. Gaseous X-ray polarimetry is regularly optimized and diagnosed by the Geant4 associated with Garfield++ and finite element analysis software (full simulation). Although the results are more realistic by the full simulation, the sample generation is low efficiency, especially for large gain values of the multiplier stage. The 2-D photoelectron track images regularly generate by a gaussian smear of initial ionization electrons at present. However, discrepancies exist in the modulation curves, resulting in fuzzy diagnoses and optimization of polarimetry. In this study, a fast simulation framework is constructed, the reconstruction of polarization phase angles and energy spectrum of the samples obtained from the fast simulation are consistent with those from experiments and the full simulation, and the deviation of modulation factor is within 2% for both situations of the GPD and TPC. In addition, the fast simulation greatly improves the sample generation efficiency. These results illustrate the fast simulation model is relative accuracy and high efficiency, which provides a useful tool for gaseous X-ray polarimetry.

An Analog SiPM Based Receiver With On-Chip Wideband Amplifier Module for Direct ToF LiDAR Applications

An analog silicon photomultiplier (SiPM) based receiver with wideband transimpedance amplifier (TIA) is proposed for direct ToF LiDAR applications. The analog SiPM comprises a <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$16\times 32$ </tex-math></inline-formula> single photon avalanche diodes (SPADs) array with a 25% fill factor. A fully differential pixel readout circuit is proposed within the pixel cell to facilitate the monolithic integration with the subsequent TIA and reduce the output capacitance of the analog SiPM. The TIA with the multipath feedforward compensation technique is proposed to improve the stability and achieve a wider −3-dB bandwidth. The adder array is used in this design to output the intensity information for the walk error compensation and the target identification. The proposed receiver, which is fabricated in <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$0.18~\mu \text{m}$ </tex-math></inline-formula> HV-CMOS technology, achieves a −3-dB bandwidth of 420 MHz. A maximum detection range of 65 m is obtained with 20 W laser peak power, <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$1.8^{\circ }\times 1.8^{\circ }$ </tex-math></inline-formula> field of view, and 40 mm aperture. A ranging accuracy of ±0.4 cm and precision of 4.5 cm are attained under a condition of 5 klux ambient light based on 1000 measurement results.

Jungfraujoch: hardware-accelerated data-acquisition system for kilohertz pixel-array X-ray detectors.

The JUNGFRAU 4-megapixel (4M) charge-integrating pixel-array detector, when operated at a full 2 kHz frame rate, streams data at a rate of 17 GB s-1. To operate this detector for macromolecular crystallography beamlines, a data-acquisition system called Jungfraujoch was developed. The system, running on a single server with field-programmable gate arrays and general-purpose graphics processing units, is capable of handling data produced by the JUNGFRAU 4M detector, including conversion of raw pixel readout to photon counts, compression and on-the-fly spot finding. It was also demonstrated that 30 GB s-1 can be handled in performance tests, indicating that the operation of even larger and faster detectors will be achievable in the future. The source code is available from a public repository.

Energy-Efficient Object Tracking Using Adaptive ROI Subsampling and Deep Reinforcement Learning

Recent innovations in ROI camera systems have opened up the avenue for exploring energy optimization techniques like adaptive subsampling. Generally speaking, image frame capture and read-out demand high power consumption. ROI camera systems make it possible to exploit the inverse relation between energy consumption and spatiotemporal pixel readout to optimize the power efficiency of the image sensor. To this end, we develop a reinforcement learning (RL) based adaptive subsampling framework which predicts ROI trajectories and reconfigures the image sensor on-the-fly for improved power efficiency of the image sensing pipeline. In our proposed framework, a pre-trained convolutional neural network (CNN) extracts rich visual features from incoming frames and a long short-term memory (LSTM) network predicts the region of interest (ROI) and subsampling pattern for the consecutive image frame. Based on the application and the difficulty level of object motion trajectory, the user can utilize either the predicted ROI or coarse subsampling pattern to switch off the pixels for sequential frame capture, thus saving energy. We have validated our proposed method by adapting existing trackers for the adaptive subsampling framework and evaluating them as competing baselines. As a proof-of-concept, our method outperforms the baselines and achieves an average AUC score of 0.5090 on three benchmarking datasets. We also characterize the energy-accuracy tradeoff of our method vs. the baselines and show that our approach is best suited for applications that demand both high visual tracking precision and low power consumption. On the TB100 dataset, our method achieves the highest AUC score of 0.5113 out of all the competing algorithms and requires a medium-level power consumption of approximately 4 W as per a generic energy model and an energy consumption of 1.9 mJ as per a mobile system energy model. Although other baselines are shown to have better performance in terms of power consumption, they are ill-suited for applications that require considerable tracking precision, making our method the ideal candidate in terms of power-accuracy tradeoff.

Ion Microscope Imaging Mass Spectrometry Using a Timepix3-Based Optical Camera.

Ion microscopy allows for high-throughput mass spectrometry imaging. In order to resolve congested mass spectra, a high degree of timing precision is required from the microscope detector. In this paper we present an ion microscope mass spectrometer that uses a Timepix3 hybrid pixel readout with an optimal 1.56 ns resolution. A novel triggering technique is also employed to remove the need for an external time-to-digital converter (TDC) and allow the experiment to be performed using a low-cost and commercially available readout system. Results obtained from samples of rhodamine B demonstrate the application of multimass imaging sensors for microscope mass spectrometry imaging with high mass resolution.

The Q-Pix pixelated readout concept for future Liquid Argon Time Projection Chambers: status and prospects.

Future long baseline neutrino experiments such as the Deep Underground Neutrino Experiment (DUNE) pose challenges for development of readout techniques for multi-kiloton LAr Time Projection Chambers (TPCs). In contrast to wire/strip anode readout, a pixelated readout eliminates disadvantages such as disambiguation in 2D track reconstruction. The Q-Pix Consortium, established in 2019, is developing a pixelated readout technique for LAr TPCs based on charge-integrate/reset (CIR) circuits. The CIR blocks generate a sequence of reset pulses with time intervals corresponding to fixed charge integrals, allowing signal reconstruction without continuous digitization. The Q-Pix ASIC, intended for reading out pixel arrays, comprises CIR blocks along with digital components responsible for communication and reconfigurable data routing. This work is devoted to give an overview of the Q-Pix project, its status, and prospects, with emphasis on the development and prototyping of the Q-Pix readout ASICs.

A Large Area GEMPix detector for treatment plan verification in hadron therapy

Quality Assurance in hadron therapy is crucial to ensure a safe and accurate dose delivery to the patients. This requires fast and reliable detectors with high spatial resolution. A first LaGEMPix prototype that combines a triple Gas Electron Multiplier and a highly pixelated readout based on a matrix of organic photodiodes coated on an oxide thin film transistor backplane has been built. The first version of the LaGEMPix has proven to have a limited spatial resolution, mainly attributed to the isotropic emission of the scintillation photons within the GEM holes. To improve the spatial resolution and confirm our predictions of the role of the photons, we built a new version of the detector with a reduced gap between the last GEM foil and the readout. Experimental results acquired using different methods and experimental set-ups show that the spatial resolution significantly improved with the new design.

RD53B Wafer Testing for the ATLAS ITk Pixel Detector

RD53B/ITkPix-V1 is the most recent hybrid pixel readout chip development for the ATLAS pixel detector at the HL-LHC. It is the first full-scale 65 nm hybrid pixel-readout chip of its kind. ITkPix-V1 consists of more than one billion transistors with a high memory triplication ratio to cope with the high particle density at the heart of ATLAS. Chips will be as close to the interaction point as possible to optimize the resolution of impact parameters. The ITkPix-V1 chip features a 5-Gbit connection, with special data compression to deal with high hit intensities. In addition, a low-power, low-noise analog front-end is used to ensure high readout speeds and low detection thresholds. Failure of chips in ATLAS would be problematic. Therefore, a thorough test is necessary before and during production. For this purpose, the Bonn ATLAS group has developed BDAQ53, a fast and versatile simulation and testing environment that allows small and large-scale testing for ITkPix-V1 and its successor chips. This conference note will give an overview of the testing environment while focusing on large-scale wafer testing to evaluate ITkPix-V1’s suitability for its deployment at the HL-LHC.

Integrated 64 pixel UV image sensor and readout in a silicon carbide CMOS technology

This work demonstrates the first on-chip UV optoelectronic integration in 4H-SiC CMOS, which includes an image sensor with 64 active pixels and a total of 1263 transistors on a 100 mm2 chip. The reported image sensor offers serial digital, analog, and 2-bit ADC outputs and operates at 0.39 Hz with a maximum power consumption of 60 μW, which are significant improvements over previous reports. UV optoelectronics have applications in flame detection, satellites, astronomy, UV photography, and healthcare. The complexity of this optoelectronic system paves the way for new applications such harsh environment microcontrollers.

Evaluation of a High-Resolution Large-Area Two-Dimensional Detector Array for Pre-Treatment Verification of Multiple-Target SRS Plans Using a Single Isocenter

<h3>Purpose/Objective(s)</h3> Pre-treatment verification of multiple-target SRS plans using a single isocenter is challenging because of small target sizes and multiple off-isocenter targets. Targets located further away from the isocenter are more sensitive to rotational setup variations, increasing the risk of geometrical miss. It demands high-resolution detector for small target sizes and large detector area for measuring multiple targets at once. The purpose of this study is to evaluate a high-resolution large-area two-dimensional (2D) detector array for pre-treatment verification of multiple-target SRS plans using a single isocenter. <h3>Materials/Methods</h3> A 2D detector array was evaluated for this purpose. It is based on a silicon complementary metal-oxide-semiconductor platform, which enables a compact design, fast read-out, and high pixel density with each pixel comprising a radiation-sensitive photodiode, a capacitor and three transistors. Its spatial resolution is 0.4 mm, with 105,000 pixels across a large active area of 120 × 140 mm². Ten multiple-target SRS plans were selected such that each plan has at least 2 targets appear on a longitudinal plane cross the isocenter. All plans were created in a treatment planning system using 6 MV flattening filter free photon beam. The typical plan consisted of one or two coplanar arcs, and two to three non-coplanar arcs. All plans were delivered in patient geometry with the detector center aligned to the plan isocenter. The detector plane was rotated to the corresponding desired longitudinal plane to measure the composite dose in a single measurement. The smallest target measured was 0.12 cc. The largest center-to-center target separation measured was 12 cm. Six of the plans in which the target separations were relatively short were able to be cross verified with a patient-specific quality assurance (PSQA) tool, whose detector area is of 77 × 77 mm². The measured 2D dose distributions in true composite were compared with the calculated dose distributions. Gamma index analysis was performed using 3%/1 mm criteria with a 10% dose threshold. <h3>Results</h3> With the 2D detector array, the gamma passing rates are all greater than 95% except one, which is 93%. The average gamma-passing rate is 97.7%. For the 6 plans cross verified, the average gamma-passing rates are 98.2% and 96.1% with the 2D detector array and PSQA tool, respectively. <h3>Conclusion</h3> The 2D detector array was demonstrated to be suitable and offers an efficient way for pre-treatment verification of multiple-target SRS plans using a single isocenter. The advantages of this 2D array include: 1) High-resolution of 0.4 mm avoids dose interpolations for plans calculated with 0.5 -1.0 mm dose grid and potentially avoids "false positive" results due to more measured points; 2) Large active area of 120 × 140 mm² allows simultaneous verification of multiple targets in true composite in patient geometry.

A charge-integration pixel readout chip features IR-drop effect mitigation by distributed LDOs

HYLITE (High dYnamic range free electron Laser Imaging deTEctor) is a charge-integration pixel detector readout chip, which is designed for SHINE (Shanghai high repetition rate XFEL and extreme light facility). The targeting pixel array of a full-size chip is 128 × 128 with a pixel pitch of 100 μm. The dynamic range of HYLITE is 1 ∼ 10000 photons at 12 keV, and the frame rate is 10 kHz. Large array size, high dynamic range, and high readout speed result in a big challenge of large power consumption and a significant IR-Drop effect. We implemented HYLITE0.2, which is the second prototype chip fabricated in a CMOS 130 nm process. Compared with HYLITE0.1, HYLITE0.2 aims to implement a full-function chip with a further shrunk pixel size, while the foreseen problem of severe IR-Drop effect of the full-size chip must be solved. To mitigate the IR-Drop effect, we proposed a novel architecture of distributed in-array Low-Dropout Regulators (LDOs). The pixel array consists of 16 × 24 pixels, and the full functionality was implemented within a pixel pitch of 100 μm. Measurements show that pixels powered by the proposed architecture work well, and the gain gradient of those pixels is 31.8% of the pixels powered by the conventional architecture.

CMOS based capacitive sensor matrix for characterizing and tracking of biological cells

The characterization and tracking of biological cells using biosensors are necessary for many scientific fields, specifically cell culture monitoring. Capacitive sensors offer a great solution due to their ability to extract many features such as the biological cells' position, shape, and capacitance. Through this study, a CMOS-based biochip that consists of a matrix of capacitive sensors (CSM), utilizing a ring oscillator-based pixel readout circuit (PRC), is designed and simulated to track and characterize a single biological cell based on its aforementioned different features. The proposed biochip is simulated to characterize a single Hepatocellular carcinoma cell (HCC) and a single normal liver cell (NLC). COMSOL Multiphysics was used to extract the capacitance values of the HCC and NLC and test the CSM's performance at different distances from the analyte. The PRC's ability to detect the extracted capacitance values of the HCC and NLC is evaluated using Virtuoso Analog Design Environment. A novel algorithm is developed to animate and predict the location and shape of the tested biological cell depending on CSM's capacitance readings simultaneously using MATLAB R2022a script. The results of both models, the measured capacitance from CSM and the correlated frequency from the readout circuit, show the biochip's ability to characterize and distinguish between HCC and NLC.

A vacuum chamber for operation of a GEM-based detector in sealed-mode and at low pressure for LET measurements

The GEMTEQ is a gaseous detector with Gas Electron Multipliers for signal amplification and Timepix ASICS as highly pixelated readout. It is based on the GEMPix detector and designed for microdosimetry. This paper describes the vacuum chamber developed to house the three versions of the GEMTEQ and to operate the detector in sealed-mode and at low pressure. A sealed version avoiding the need of a gas system offers clear advantages for its transport and use, e.g., for measurements at a clinical particle therapy centre. Operating the detector at a pressure lower than atmospheric increases the spatial resolution, one of the key parameters in microdosimetry. A gas-tight detector housing, a pumping system, and a pressure and temperature monitoring system were developed and tested in operational conditions. These extensive tests have proven the vacuum chamber to be gas tight and well suited for the foreseen microdosimetric measurements: the GEMTEQ can be operated for several weeks at 1000 mbar without noticeable degradation of the detector signal. First measurements have been carried out successfully at pressure values as low as 200 mbar. Further tests are planned to reach the design goal of 10 mbar. Overall, the vacuum chamber fulfils the requirements for a sealed-mode and low-pressure operation of the GEMTEQ. Measurement campaigns using this setup for example for LET measurements in hadron beams have already been carried out and will be discussed in forthcoming papers.

Characterization of a high bandwidth readout chain for the CMS phase-2 pixel upgrade

The CMS collaboration is building a new inner tracking pixel detector for the High-Luminosity LHC. Each pixel readout chip will be controlled with a single serial input stream at 160 Mb/s and will send out data via four current mode logic (CML) 1.28 Gb/s outputs. The readout chips will be grouped in modules and connected with up to 1.6 meters long low-mass electrical links to Low-Power Gigabit Transceivers (lpGBT) and Versatile Link PLUS Transceiver (VTRx+) modules that send the data optically to off-detector electronics at 10 Gb/s. The characterization of these components and system tests of the readout chain are presented.

The sparse readout RIGEL Application Specific Integrated Circuit for Pixel Silicon Drift Detectors in soft X-ray imaging space applications

An Application Specific Integrated Circuit (ASIC), called RIGEL, designed for the sparse readout of a Silicon Pixel Drift Detector (PixDD) for space applications is presented. The low leakage current (less than 1 pA at +20 °C) and anode capacitance (less than 40 fF) of each pixel (300 μm × 300 μm) of the detector, combined with a low-noise electronics readout, allow to reach a high spectroscopic resolution performance even at room temperature. The RIGEL ASIC front-end architecture is composed by a 2-D matrix of 128 readout pixel cells (RPCs), arranged to host, in a 300 μm-sided square area, a central octagonal pad (for the PixDD anode bump-bonding), and the full-analog processing chain, providing a full-shaped and stretched signal. In the chip periphery, the back-end electronics features 16 integrated 10-bits Wilkinson ADCs, the configuration register and a trigger management circuit. The characterization of a single RPC has been carried out whose features are: eight selectable peaking times from 0.5 μs to 5 μs, an input charge range equivalent to 30 keV, and a power consumption of less than 550 μW per channel. The RPC has been tested also with a 4×4 prototype PixDD and 167 eV Full Width at Half Maximum (FWHM) at the 5.9 keV line of 55Fe at 0 °C and 1.8 μs of peaking time has been measured.