Astronomical big data optical variable curve abnormity detection method

A light curve and anomaly detection technology, which is applied in the direction of neural learning methods, complex mathematical operations, biological neural network models, etc., can solve the problems of large amount of data and difficult processing, achieve high precision, short learning time, and avoid gradient disappearance Effect
CN110879874APending Publication Date: 2020-03-13BEIJING UNIV OF TECH
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
BEIJING UNIV OF TECH
Publication Date
2020-03-13

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Abstract

The invention discloses an optical variable curve abnormity detection method, and aims to solve the problem that the anomaly phenomenon of an optical variable curve in astronomical data is difficult to detect due to the instantaneity of the anomaly phenomenon and improve the robustness of a model to future observation data. The method comprises the following steps: acquiring time and brightness ofoptical variable curve data to serve as a historical time sequence; carrying out data preprocessing and feature engineering on the obtained data, and respectively constructing a training set and a test set; building a model by using a GRU neural network, respectively adding a Dropout optimization method and a BN optimization method, adjusting network hyper-parameters by using a grid search methodto obtain two sub-models, and performing hybrid optimization according to precision and stability to obtain a final model; and performing prediction by using the trained model, outputting a prediction sequence, and performing optical variable curve abnormity detection by using a Grubbs method.
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Description

technical field

[0001] The invention belongs to the technical field of astronomical big data, and in particular relates to a method for detecting anomalies in light curves of astronomical big data based on gated cyclic unit model fusion, which is used to predict the abnormalities shown by sudden changes in the value of astronomical light curves that will occur in the future Phenomenon. Background technique

[0002] Astronomical research often deals with a large number of large datasets generated and integrated through surveys. For example, the astronomical satellite project (Space Variable Objects Monitor, SVOM) jointly carried out by China and France recently. The main purpose of the project is to detect the phenomenon of gamma-ray bursts in the universe. The Ground Wide Angle Camera Array (GWAC) in the SVOM project is used to measure light data in the universe and generate a dataset of astronomical light curves. This system includes 36 wide-angle cameras, each camera ha...

Claims

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