A method and system for performance evaluation of a photodetector

Abstract

The application discloses a kind of photodetector performance evaluation method and system, obtain the light response time series data and electric response time series data of target photodetector;Based on the light response evolution model of pre-training, the light response time series data is processed, and the light modulation performance evaluation eigenvalue of target photodetector is output;Based on electric response time series data and light modulation performance evaluation eigenvalue, the photoelectric synergic performance eigenvalue of target photodetector is determined;Based on photoelectric synergic performance eigenvalue and preset photoelectric synergic performance feature threshold interval, the performance evaluation result of target photodetector is determined.The application simultaneously collects the light response time series data and electric response time series data of photodetector, constructs unified multi-source time series analysis framework, to realize the accurate modeling of photoelectric synergic response relationship, ensure that performance evaluation result can dynamically reflect the actual working state of photodetector under complex light field and polarized environment, improve the accuracy of performance evaluation.

Description

Technical Field

[0001] This invention belongs to the field of photodetector technology, specifically relating to a method and system for evaluating the performance of a photodetector. Background Technology

[0002] Photodetectors are core devices that convert light signals into electrical signals and are widely used in communications, medical, industrial, and defense fields. Existing performance evaluation systems for photodetectors are typically based on single-dimensional parameter analysis, which involves collecting light response or electrical response data of the photodetector under fixed illumination conditions and testing and comparing its spectral responsivity, response time, dark current density, and other indicators to evaluate the device's performance.

[0003] Current research and industrial testing platforms generally adopt a static testing architecture, which measures the output current and responsivity of the detector at each test point under fixed conditions such as light source intensity, wavelength, and bias voltage, and compares the obtained data with reference standards. Some systems introduce computer-controlled automated scanning devices to acquire response parameters under different wavelength ranges or different bias voltages, and record the test data in time series form for subsequent offline analysis.

[0004] However, existing technologies for evaluating the performance of photodetectors are insufficient to fully reflect the true response characteristics of devices under complex operating environments. Summary of the Invention

[0005] To address the aforementioned problems in the prior art, this invention provides a method and system for evaluating the performance of photodetectors.

[0006] The technical problem to be solved by this invention is achieved through the following technical solution:

[0007] In a first aspect, the present invention provides a method for evaluating the performance of a photodetector, comprising:

[0008] Acquire the optical response timing data and electrical response timing data of the target photodetector;

[0009] Based on the pre-trained optical response evolution model, the optical response time series data is processed to output the optical modulation performance evaluation feature value of the target photodetector;

[0010] Based on electrical response time-series data and optical modulation performance evaluation characteristic values, the optoelectronic synergistic performance characteristic values ​​of the target photodetector are determined;

[0011] Based on the photoelectric synergy performance characteristic values ​​and the preset photoelectric synergy performance characteristic threshold range, the performance evaluation results of the target photodetector are determined.

[0012] Secondly, the present invention provides a performance evaluation system for a photodetector, comprising:

[0013] The data acquisition module is used to acquire the optical response timing data and electrical response timing data of the target photodetector;

[0014] The optical modulation feature analysis module is used to process optical response time series data based on a pre-trained optical response evolution model and output optical modulation performance evaluation feature values ​​of the target photodetector.

[0015] The optoelectronic synergy feature fusion module is used to determine the optoelectronic synergy performance feature values ​​of the target photodetector based on electrical response time series data and optical modulation performance evaluation feature values.

[0016] The performance evaluation module is used to determine the performance evaluation results of the target photodetector based on the photoelectric synergy performance characteristic values ​​and the preset photoelectric synergy performance characteristic threshold range.

[0017] This invention provides a performance evaluation method and system for photodetectors. By simultaneously acquiring optical response time-series data and electrical response time-series data of the photodetector, a unified multi-source time-series analysis framework is constructed. A pre-trained optical response evolution model is used to extract optical modulation performance evaluation feature values, and the photoelectric synergistic performance feature values ​​are calculated by combining electrical response feature analysis. This achieves accurate modeling of the photoelectric synergistic response relationship, ensuring that the performance evaluation results can dynamically reflect the actual working state of the photodetector under complex optical fields and polarization environments, thereby improving the accuracy of performance evaluation.

[0018] The present invention will now be described in further detail with reference to the accompanying drawings. Attached Figure Description

[0019] Figure 1 This is a schematic flowchart of a performance evaluation method for a photodetector provided in an embodiment of the present invention;

[0020] Figure 2 This is a structural block diagram of a photodetector performance evaluation system according to an embodiment of the present invention. Detailed Implementation

[0021] The present invention will be further described in detail below with reference to specific embodiments, but the implementation of the present invention is not limited thereto.

[0022] In a first aspect, embodiments of the present invention provide a method for evaluating the performance of a photodetector. See also... Figure 1 The method includes the following steps:

[0023] S10. Acquire the optical response timing data and electrical response timing data of the target photodetector.

[0024] For example, the optical response time series data includes the wavelength value, light intensity value, and responsivity value at each time point, and the electrical response time series data includes the conductivity value, carrier migration rate value, ferroelectric polarization potential value, bandgap drift rate value, polarization current value, and ferroelectric modulation gain index at each time point.

[0025] S20. Based on the pre-trained optical response evolution model, the optical response time series data is processed to output the optical modulation performance evaluation feature value of the target photodetector.

[0026] Optionally, step S20 may specifically include:

[0027] S201. Input the optical response time series data into the pre-trained optical response evolution model and output the optical modulation feature set of the target photodetector.

[0028] Optionally, the optical response evolution model includes an input layer, an LSTM layer, and an output layer. Step S201 may specifically include:

[0029] S2011. The optical response timing data is preprocessed through the input layer, and the preprocessed optical response timing features are output.

[0030] For example, the optical response time series data can be aligned by timestamp to ensure that the data of different wavelengths and light intensity change stages correspond consistently on the same time series; abnormal responsivity values ​​caused by noise or instantaneous light power fluctuations are removed, and smoothing is performed by moving average or exponential weighted average to reduce external interference; and the smoothed optical response time series data is normalized to map its values ​​to between 0 and 1, and the preprocessed optical response time series features are output.

[0031] S2012. The LSTM layer is used to perform temporal analysis and feature extraction on the preprocessed optical response temporal features, and output the optical evolution feature vector.

[0032] For example, optical evolution feature vectors are high-dimensional feature sets that describe the dynamic changes of optical signals in the time or wavelength dimension. Their core is to map the spatiotemporal evolution of the light field into a quantifiable feature space through mathematical transformations. These feature vectors not only contain the static properties of the optical signal (such as spectral intensity and phase distribution), but also capture its dynamic evolution patterns, such as the response process of photochromic materials, the modulation waveform changes in optical communication, or the diffusion of the light field in a scattering medium.

[0033] S2013. The light evolution feature vector is mapped through the output layer to output the light modulation feature set of the target photodetector.

[0034] The optical modulation feature set includes spectral gradient-driven feature values, optical flux synergy feature values, and optical modulation response feature values.

[0035] For example, spectral gradient-driven eigenvalues ​​extract dynamic features reflecting the shape of the spectral curve by analyzing the rate of change (gradient) of the spectral signal along the wavelength dimension. Optical flux synergy eigenvalues ​​describe the synergistic effect of optical and electrical signals in the system, improving overall performance by optimizing optical power allocation and modulation parameters. Optical modulation response eigenvalues ​​characterize the dynamic response capability of optoelectronic devices to optical signals.

[0036] The photoresponse evolution model in this embodiment uses an LSTM structure to perform multi-time-step memory analysis on the photoresponse signal. It can capture the temporal dependence between spectral changes, light intensity fluctuations, and responsivity changes, forming three basic vectors: spectral gradient-driven features, light flux synergy features, and light modulation response features. This enables dynamic decoding of multi-dimensional photoresponse laws, ensuring that the evaluation features are interpretable and have physical meaning.

[0037] S202. Multi-channel feature fusion is performed on the spectral gradient driving feature value, optical flux synergy feature value and optical modulation response feature value to obtain the optical modulation performance evaluation feature value of the target photodetector.

[0038] For example, the spectral gradient-driven feature value, the optical flux synergy feature value, and the optical modulation response feature value, along with the adjustment coefficients corresponding to each feature obtained in advance, can be adaptively weighted and fused using a multi-channel feature collaborative mapping analysis method to obtain the optical modulation performance evaluation feature value.

[0039] S30. Based on the electrical response timing data and optical modulation performance evaluation characteristic values, determine the optoelectronic synergistic performance characteristic values ​​of the target photodetector.

[0040] Optionally, step S30 may specifically include:

[0041] S301. After standardizing the electrical response time series data, determine the ferroelectric conversion efficiency characteristic value of the photodetector at each time point.

[0042] For example, standardization methods may include Z-score standardization, Min-Max standardization, robust standardization, etc. Standardization can eliminate dimensional differences and numerical fluctuations while preserving temporal dependencies.

[0043] Furthermore, through multi-parameter electrical response coupling analytical method, the conductivity, carrier migration rate, ferroelectric polarization potential, bandgap drift rate, polarization current, and ferroelectric modulation gain index at each time point after standardization are synchronously correlated to establish the correlation between each parameter and the characteristic value of ferroelectric conversion efficiency. For example, if the bandgap drift rate and the characteristic value of ferroelectric conversion efficiency are negatively correlated, the correlation is reversed during the analysis process, and its form can be 1 / (1+standardized bandgap drift rate). The weights of the corresponding parameters are constructed using sample entropy weights, and weighted fusion is performed to calculate the characteristic value of ferroelectric conversion efficiency at each time point.

[0044] S302. Based on the ferroelectric conversion efficiency characteristic value at each time point, determine the ferroelectric conversion stable efficiency characteristic value.

[0045] Optionally, step S302 may specifically include:

[0046] S3021. Extract the maximum value, minimum value, and mean value of the ferroelectric conversion efficiency characteristic from the ferroelectric conversion efficiency characteristic values ​​at each time point.

[0047] S3022. Based on the maximum value, minimum value and mean value of the ferroelectric conversion efficiency characteristics, determine the stable efficiency characteristic value of ferroelectric conversion.

[0048] Optionally, the maximum and minimum values ​​of the ferroelectric conversion efficiency characteristics are processed to obtain the ferroelectric conversion efficiency fluctuation characteristic value; the ratio of the ferroelectric conversion efficiency fluctuation characteristic value to the mean value of the ferroelectric conversion efficiency characteristics is subtracted from 1 to obtain the ferroelectric conversion stability characteristic value.

[0049] Specifically, the ferroelectric conversion efficiency characteristic value = 1 - (ferroelectric conversion efficiency fluctuation characteristic value / ferroelectric conversion efficiency characteristic mean).

[0050] S303. Based on the ferroelectric conversion stability characteristic value and the optical modulation performance evaluation characteristic value, determine the photoelectric synergistic performance characteristic value of the target photodetector.

[0051] Optionally, the photoelectric coordination performance characteristic value of the target photodetector is expressed as:

[0052]

[0053] in, The characteristic value of the photoelectric coordination performance of the target photodetector. These are characteristic values ​​used to evaluate the optical modulation performance of the target photodetector. The ferroelectric conversion stability characteristic value of the target photodetector. This is the preset collaborative control coefficient.

[0054] In this embodiment, based on the joint calculation of optical modulation performance evaluation feature value and ferroelectric conversion stability feature value, photoelectric synergistic performance feature value is generated, and a coupled expression system of optical field modulation and ferroelectric control is established. By adaptively adjusting the weight ratio of the two types of features through synergistic control coefficient, dynamic evaluation and hierarchical judgment of the comprehensive performance of photodetector can be realized, thereby improving the evaluation accuracy and stability under complex multi-field conditions.

[0055] S40. Based on the photoelectric synergy performance characteristic value and the preset photoelectric synergy performance characteristic threshold range, determine the performance evaluation result of the target photodetector.

[0056] Specifically, if the photoelectric synergy performance characteristic value is greater than the upper limit of the preset photoelectric synergy performance characteristic threshold range, the target photodetector is determined to be in an excellent performance state, and this state is recorded and marked as superior performance.

[0057] If the photoelectric synergy performance characteristic value is within the preset photoelectric synergy performance characteristic threshold range, the target photodetector is determined to be in a qualified performance state, that is, in a normal performance state. This state is recorded and marked as qualified performance.

[0058] If the photoelectric synergy performance characteristic value is less than the lower limit of the preset photoelectric synergy performance characteristic threshold range, the target photodetector is determined to be in a performance failure state, i.e., in a performance degradation state. This state is recorded and marked as requiring performance maintenance.

[0059] The performance evaluation method for a photodetector in this embodiment differs from existing technologies in that:

[0060] It can effectively solve the problems of separation of optical and electrical features and insufficient dynamic response capture in the performance evaluation of traditional photodetectors, and realize joint modeling and collaborative analysis of photoelectric multi-source time series data. By introducing an LSTM-based optical response evolution model, it can adaptively identify the time series patterns of light intensity changes, wavelength drift and responsivity fluctuations, avoid the defects of traditional static fitting methods that cannot reflect transient features, and significantly improve the analytical accuracy of dynamic light modulation processes.

[0061] By adopting a photoelectric synergistic feature fusion mechanism, the optical modulation performance evaluation feature value and the ferroelectric conversion stability feature value are coupled and calculated, and a synergistic mapping relationship between optical field modulation and ferroelectric polarization control is established, eliminating the error accumulation problem caused by the fragmented analysis of photoelectric response in the existing evaluation system.

[0062] By combining entropy weighting and adaptive strategy of coordinated control coefficients, the feature weight ratio can be dynamically adjusted according to different working conditions, thereby improving both the stability and generalization of performance evaluation, and thus maintaining high precision and high consistency in the comprehensive performance judgment of photodetectors in complex multi-field environments.

[0063] Secondly, referring to Figure 2 This invention also provides a performance evaluation system for a photodetector, comprising:

[0064] Data acquisition module 201 is used to acquire the optical response timing data and electrical response timing data of the target photodetector;

[0065] The optical modulation feature analysis module 202 is used to process optical response time series data based on a pre-trained optical response evolution model and output optical modulation performance evaluation feature values ​​of the target photodetector.

[0066] The optoelectronic synergy feature fusion module 203 is used to determine the optoelectronic synergy performance feature value of the target photodetector based on electrical response time series data and optical modulation performance evaluation feature value;

[0067] The performance evaluation module 204 is used to determine the performance evaluation result of the target photodetector based on the photoelectric synergy performance characteristic value and the preset photoelectric synergy performance characteristic threshold range.

[0068] The photodetector performance evaluation system of this embodiment has the following advantages:

[0069] Joint modeling of photoelectric response timing: By simultaneously acquiring photoelectric response timing data and electrical response timing data, a unified multi-source timing analysis framework is constructed. The pre-trained photoelectric response evolution model is used to extract the characteristic values ​​of optical modulation performance evaluation. Combined with the electrical response characteristic analysis module, the ferroelectric conversion stability characteristic value is calculated, thereby realizing accurate modeling of the photoelectric synergistic response relationship and ensuring that the evaluation results can dynamically reflect the actual working state of the detector in complex optical fields and polarization environments.

[0070] Optoelectronic synergistic feature fusion mechanism: The optoelectronic synergistic feature fusion module generates optoelectronic synergistic performance feature values ​​based on the joint calculation of optical modulation performance evaluation feature values ​​and ferroelectric conversion stability feature values. It establishes a coupled expression system of optical field modulation and ferroelectric control. By adaptively adjusting the weight ratio of the two types of features through synergistic control coefficients, it realizes dynamic evaluation and hierarchical judgment of the comprehensive performance of photodetectors, and improves the evaluation accuracy and stability under complex multi-field conditions.

[0071] Feature evolution modeling based on temporal deep learning: The optical response evolution model uses an LSTM structure to perform multi-time-step memory analysis on the optical response signal, which can capture the temporal dependence between spectral changes, light intensity fluctuations and responsivity changes, forming three basic vectors: spectral gradient driven features, optical flux synergy features and optical modulation response features, realizing the dynamic decoding of multi-dimensional optical response laws, and ensuring that the evaluation features are interpretable and have physical meaning.

[0072] It should be noted that the terms "first," "second," etc., are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples of apparatuses and methods consistent with some aspects of the invention.

[0073] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Furthermore, those skilled in the art can combine and integrate the different embodiments or examples described in this specification.

[0074] Although the invention has been described herein in conjunction with various embodiments, those skilled in the art will understand and implement other variations of the disclosed embodiments by reviewing the accompanying drawings and the disclosure in carrying out the claimed invention. In the description of the invention, the word "comprising" does not exclude other components or steps, "a" or "an" does not exclude a plurality, and "a plurality" means two or more, unless otherwise explicitly specified. Furthermore, while different embodiments may describe certain measures, this does not mean that these measures cannot be combined to produce good results.

[0075] The above description, in conjunction with specific preferred embodiments, provides a further detailed explanation of the present invention. It should not be construed that the specific implementation of the present invention is limited to these descriptions. For those skilled in the art, various simple deductions or substitutions can be made without departing from the concept of the present invention, and all such modifications and substitutions should be considered within the scope of protection of the present invention.

Claims

1. A method for evaluating the performance of a photodetector, characterized in that, include: Acquire the optical response timing data and electrical response timing data of the target photodetector; The optical response time-series data is input into a pre-trained optical response evolution model, and the optical modulation feature set of the target photodetector is output; wherein, the optical response time-series data includes the wavelength value, light intensity value and responsivity value at each time point, and the optical modulation feature set includes spectral gradient driving feature value, optical flux synergy feature value and optical modulation response feature value; Multi-channel feature fusion is performed on the spectral gradient driving feature value, the optical flux synergy feature value, and the optical modulation response feature value to obtain the optical modulation performance evaluation feature value of the target photodetector. After standardizing the electrical response time-series data, the ferroelectric conversion efficiency characteristic value of the photodetector at each time point is determined; wherein, the electrical response time-series data includes the conductivity value, carrier migration rate value, ferroelectric polarization potential value, bandgap drift rate value, polarization current value, and ferroelectric modulation gain index at each time point; From the ferroelectric conversion efficiency characteristic values ​​at each time point, extract the maximum value, minimum value, and mean value of the ferroelectric conversion efficiency characteristic. The difference between the maximum and minimum values ​​of the ferroelectric conversion efficiency characteristics is processed to obtain the ferroelectric conversion efficiency fluctuation characteristic value; The ratio of the ferroelectric conversion efficiency fluctuation characteristic value to the ferroelectric conversion efficiency mean value is subtracted from 1 to obtain the ferroelectric conversion stability characteristic value. Based on the ferroelectric conversion stability characteristic value and the optical modulation performance evaluation characteristic value, the photoelectric synergy performance characteristic value of the target photodetector is determined; the photoelectric synergy performance characteristic value of the target photodetector is expressed as: in, The characteristic value of the photoelectric coordination performance of the target photodetector. These are characteristic values ​​used to evaluate the optical modulation performance of the target photodetector. The ferroelectric conversion stability characteristic value of the target photodetector. This is the preset collaborative control coefficient; Based on the photoelectric synergy performance characteristic values ​​and the preset photoelectric synergy performance characteristic threshold range, the performance evaluation result of the target photodetector is determined.

2. The performance evaluation method for a photodetector according to claim 1, characterized in that, The optical response evolution model includes an input layer, a Long Short-Term Memory (LSTM) network layer, and an output layer. The step of inputting the optical response time-series data into the pre-trained optical response evolution model and outputting the optical modulation feature set of the target photodetector includes: The optical response timing data is preprocessed through the input layer to output preprocessed optical response timing features; The LSTM layer is used to perform temporal analysis and feature extraction on the preprocessed optical response temporal features, and outputs an optical evolution feature vector. The output layer performs feature mapping on the optical evolution feature vector to output the optical modulation feature set of the target photodetector.

3. The performance evaluation method for a photodetector according to claim 1, characterized in that, The process of determining the performance evaluation result of the target photodetector based on the photoelectric synergy performance characteristic value and a preset photoelectric synergy performance characteristic threshold range includes: If the photoelectric synergy performance characteristic value is greater than the upper limit of the preset photoelectric synergy performance characteristic threshold range, then the target photodetector is determined to be in an excellent performance state. If the photoelectric synergy performance characteristic value is within the preset photoelectric synergy performance characteristic threshold range, then the target photodetector is determined to be in a qualified performance state. If the photoelectric synergy performance characteristic value is less than the lower limit of the preset photoelectric synergy performance characteristic threshold range, then the target photodetector is determined to be in a performance unqualified state.

4. A performance evaluation system for a photodetector, characterized in that, include: The data acquisition module is used to acquire the optical response timing data and electrical response timing data of the target photodetector; The optical modulation feature analysis module is used to input the optical response time series data into the pre-trained optical response evolution model and output the optical modulation feature set of the target photodetector; wherein, the optical response time series data includes the wavelength value, light intensity value and responsivity value at each time point, and the optical modulation feature set includes spectral gradient driving feature value, optical flux synergy feature value and optical modulation response feature value; Multi-channel feature fusion is performed on the spectral gradient driving feature value, the optical flux synergy feature value, and the optical modulation response feature value to obtain the optical modulation performance evaluation feature value of the target photodetector. The optoelectronic collaborative feature fusion module is used to standardize the electrical response time-series data and determine the ferroelectric conversion efficiency feature value of the photodetector at each time point; wherein, the electrical response time-series data includes the conductivity value, carrier migration rate value, ferroelectric polarization potential value, bandgap drift rate value, polarization current value, and ferroelectric modulation gain index at each time point. From the ferroelectric conversion efficiency characteristic values ​​at each time point, extract the maximum value, minimum value, and mean value of the ferroelectric conversion efficiency characteristic. The difference between the maximum and minimum values ​​of the ferroelectric conversion efficiency characteristics is processed to obtain the ferroelectric conversion efficiency fluctuation characteristic value; The ratio of the ferroelectric conversion efficiency fluctuation characteristic value to the ferroelectric conversion efficiency mean value is subtracted from 1 to obtain the ferroelectric conversion stability characteristic value. Based on the ferroelectric conversion stability characteristic value and the optical modulation performance evaluation characteristic value, the photoelectric synergy performance characteristic value of the target photodetector is determined; the photoelectric synergy performance characteristic value of the target photodetector is expressed as: in, The characteristic value of the photoelectric coordination performance of the target photodetector. These are characteristic values ​​used to evaluate the optical modulation performance of the target photodetector. The ferroelectric conversion stability characteristic value of the target photodetector. This is the preset collaborative control coefficient; The performance evaluation module is used to determine the performance evaluation result of the target photodetector based on the photoelectric synergy performance characteristic value and the preset photoelectric synergy performance characteristic threshold range.

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