The Space and Time Algorithm for Transients in X-rays (STATiX, Ruiz et al. 2024) is a source detection algorithm developed by the National Observatory of Athens (NOA). Thanks to the Multi-Scale Variance Stabilization Transform (Stark et al. 2009) and Bayesian Blocks (Scargle et al. 2013) implemented into its algorithm, STATiX improves the detection of transient sources by using the time information of X-ray observations. The algorithm is available as a Python library open and free to use for the community. NOA is currently processing the XMM-Newton Archive using STATiX. A catalogue will be made public containing the XMM-Newton transient/variable sources and ancillary multiwavelength information about these sources. In the near future STATiX will be implemented as a service to run on new XMM-Newton observations in automatic mode and on requests by human users. The service endpoint will be integrated into the ACME platform and made accessible through MMODA.
Main technical characterictics
– STATiX is optimized for the detection of short transients in XMM-Newton data.
– Full catalogues with positions, fluxes, light-curves and detection statistics.
– Additional multi-wavelength information for selected sources.
VA access: https://github.com/ruizca/statix