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This interface is provided with different features that enable the evaluation of the spatial and time-depending stability of the detectors to be analyzed, such as the splitting of the videos into the different frames that compose the measurement or the numerical addition of a series of frames to generate a time-integrated image. In addition, it is capable of extracting and classifying each of the local luminous events that reach the MCP in every single frame (or in a set of frames) by adjusting different parameters of the DAOFIND algorithm such as the threshold, the full-width half-maximum or the sigma radius. The interface creates a list of all identified events, specifying their position, size or intensity. From this data, a 3Drepresentation of the spatial distribution of the classified events can be generated as heat maps, as well as a representation of the number of events detected within a confined area of the detector to evaluate the stability of the response at any moment. This tool has been developed in Python and will be released as open software to the scientific community. |
