5 results about "Readout electronics" patented technology

The application discloses a target channel selection output method and system for frequency division multiplexing superconducting detectors, and belongs to the technical field of digital signal processing and superconducting detector readout electronics. The method aims at the problems of high resolution channelization resource occupation, high full spectrum output bandwidth pressure, and obvious spectrum leakage and crosstalk under high multiplexing ratio. On the basis of high resolution channelization processing, the mapping relationship between target frequency points and channels and the target channel selection output mechanism are introduced. After the wideband digital input signal is processed by the polyphase filter bank channelization, only the complex data corresponding to the target frequency points containing effective signals are selected and output, and are further separated into I / Q data stream output. The scheme combines high resolution channelization processing with the mapping driven selection output mechanism, reduces resource occupation and data transmission bandwidth while ensuring frequency resolution, and improves real-time performance and signal fidelity in the readout scene of high multiplexing ratio detectors.

The application discloses a kind of metal halogen perovskite-based neutron multiplicity measuring device and method, the device includes: shell, the shell is used to install and protect other components of the measuring device;Radiation detection module is arranged in the shell, and the radiation detection module is mainly composed of perovskite material and photomultiplier tube etc.;Shielding unit is arranged in the shell and located at the side and bottom of the perovskite scintillator, for reducing gamma-ray background;And, readout electronics module is arranged in the shell, and the readout electronics module is used to read the electrical signal generated by the photomultiplier tube and convert it into digital signal output.The application can realize the effective discrimination of neutron and gamma, so as to accurately deduct the influence of gamma-ray background, improve the sensitivity of fast neutron measurement.

This invention belongs to the field of gamma imaging technology, specifically relating to a gamma ray localization method based on a planar scintillator. The method includes the following steps: performing multi-point calibration tests on the direction and orientation of the planar scintillator using a collimated gamma ray source; calculating a normalized ratio variable; using the least squares method to fit the normalized ratio variable to a known incident position to obtain the key parameters in the two-dimensional coordinate calculation formula; training a neural network model based on a dataset; and for the gamma ray deposition location to be measured, performing rapid position calculation using the two-dimensional coordinate calculation formula, or performing high-precision position prediction using the neural network model. This invention significantly reduces the number of photoelectric readout devices and readout electronics channels while maintaining good position and energy resolution performance, thereby effectively reducing system costs. It has promising application prospects in large-area gamma imaging, radiation monitoring, and related engineering applications.

The application discloses a kind of extraction and error correction methods for evaluating the sampling rate of pulse waveform measurement system, to sample rate f0 The output waveform of detector is sampled, and high sampling rate original waveform is obtained;According to the target sampling rate set, select multiple extraction ratios, based on different starting points, perform multiple sets of extraction operations with the same ratio on the original waveform, and expand to obtain multiple sets of waveforms with uniformly distributed sampling phases;According to the application scenario, select and calculate the evaluation parameter σ;According to the amplitude distribution estimation error caused by the correlation between waveforms during the extraction process, introduce the correction factor p To modify the evaluation parameter;The contribution ratio of the error caused by the correlation between waveforms to the evaluation parameter is further modified to the evaluation parameter σ, to realize the accurate evaluation of waveform measurement system.The method can greatly reduce the research and development cost and cycle of multi-channel readout electronics, and the uniform sampling phase can effectively avoid random error.

The present application relates to the field of particle physics experiment data acquisition and processing, and specifically discloses an online AI triggering and data compression method and device for particle detector readout electronics, wherein the method realizes real-time feature extraction on the output pulse signal of the detector, uses a pre-trained fully connected neural network model to realize high-precision triggering decision, adopts a compression strategy combining adaptive quantization and entropy coding to compress effective event data, and simultaneously introduces a quality feedback mechanism based on peak signal-to-noise ratio to form a closed-loop control. The present application realizes intelligent collaborative processing of triggering decision and data compression, significantly improves the event selection efficiency and data compression quality under the premise of ensuring data physical integrity, and provides an efficient real-time data processing solution for high-count-rate particle physics experiments.