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ECG-biometrics-bench: A Unified Framework for Reproducible Benchmarking of ECG Biometrics Physiology-Aware Masked Cross-Modal Reconstruction for Biosignal Representation Learning Towards Improving Speaker Distance Estimation through Generative Impulse Response Augmentation Federated Learning with Hypergradient-based Online Update of Aggregation Weights Soft Graph Diffusion Transformer for MIMO Detection SPLICE: Latent Diffusion over JEPA Embeddings for Conformal Time-Series Inpainting Sequential Inference for Gaussian Processes: A Signal Processing Perspective Statistical Channel Fingerprint Construction for Massive MIMO: A Unified Tensor Learning Framework Recent Advances in mm-Wave and Sub-THz/THz Oscillators for FutureG Technologies Cross-Subject Generalization for EEG Decoding: A Survey of Deep Learning Methods Super-resolution Multi-signal Direction-of-Arrival Estimation by Hankel-structured Sensing and Decomposition Hankel and Toeplitz Rank-1 Decomposition of Arbitrary Matrices with Applications to Signal Direction-of-Arrival Estimation Adaptive Transform Coding for Semantic Compression EdgeSpike: Spiking Neural Networks for Low-Power Autonomous Sensing in Edge IoT Architectures Sparse Graph Learning from Sparse Data via Fiedler Number Maximization A Deep Learning Model for Battery State Prediction towards Intelligent Energy Management Transfer Learning for Tonal Noise Prediction in VRF Units Using Thermodynamic and Vibration Signals EVT-Based Generative AI for Tail-Aware Channel Estimation Monitoring exposure-length variations in submarine power cables using distributed fiber-optic sensing BandRouteNet: An Adaptive Band Routing Neural Network for EEG Artifact Removal Phase-Separated Complex Hilbert PCA on Markerless 3D Pose Estimation Data: A Global Phase Network and Its Extension to a Continuous Field on the Body Surface Selective Correlation Based Knowledge Distillation for Ground Reaction Force Estimation Deep Learning-Enabled Dissolved Oxygen Sensing in Biofouling Environments for Ocean Monitoring Speech Enhancement Based on Drifting Models Robust and Clinically Reliable EEG Biomarkers: A Cross Population Framework for Generalizable Parkinson's Disease Detection An AI-Based Supervisory Measurement Integrity Validation Layer for Cyber-Resilient AC/DC Protection in Inverter-Based Microgrids Explainable AI in Speaker Recognition -- Making Latent Representations Understandable Time-Localized Parametric Decomposition of Respiratory Airflow for Sub-Breath Analysis NAKUL-Med: Spectral-Graph State Space Models with Dynamics Kernels for Medical Signals An Algorithm for On-Sensor Agnostic Detection of Changes in Human Activity for Ultra-Low-Power Applications
Development of the Front-End Electronics for PandaX-III P...
Danyang Zhu, Shubin Liu, Changqing Feng, Cheng Li, Haolei Chen · 2018-06-25 · via eess.SP updates on arXiv.org

The Particle And Astrophysical Xenon Experiment III (PandaX-III) is an experiment to search for the Neutrinoless Double Beta Decay (NLDBD) using 200 kg radio-pure high-pressure gaseous xenon TPC with Micromegas detectors at both ends and cathode in the middle. A small-scale TPC equipped with 7 Microbulk Micromegas detectors is developed as the prototype detector. 128 channels are readout following an X-Y design with strips of 3 mm pitch (64 channels each direction) from one Micromegas module. Highly integrated front-end electronics composed of 4 front-end cards with 1024 readout channels is designed to readout the charge of Micromegas anode signals, digitize the waveform after shaping and send compressed data to the DCM board. The cornerstone of the front-end electronics is a 64-channel application specific integrated circuit which is based on a switched capacitor array. The integral nonlinearity of the front-end electronics is less than 1% with 1 pC. The noise (RMS) of each readout channel is less than 0.9 fC with 1 microsecond peaking time and 1 pC range. Using the radioactive sources 56 Fe and 137 Cs, joint-tests of front-end electronics with the prototype TPC were carried out and the hit map of 7 Micromegas has been reconstructed.