TY - JOUR N2 - In this paper a new method of frequency jumps detection in data from atomic clock comparisons is proposed. The presented approach is based on histogram analysis for different time intervals averaging phasetime data recorded over a certain period of time. Our method allows identification of multiple frequency jumps for long data series as well to almost real-time jump detection in combination with advanced filtering. Several methods of preliminary data processing have been tested (simple averaging, moving average and Vondrak filtration), to achieve flexibility in adjusting the algorithm parameters for current needs which is the key to its use in determining ensemble time scale or to control systems of physical time scales, such as UTC(PL). The best results have been achieved with the Vondrak filter. L1 - http://www.czasopisma.pan.pl/Content/118925/PDF/art07.pdf L2 - http://www.czasopisma.pan.pl/Content/118925 PY - 2021 IS - No 1 EP - 121 DO - 10.24425/mms.2021.135996 KW - time interval KW - phasetime KW - frequency jump KW - ensemble time scale KW - atomic clock A1 - Marszalec, MichaƂ A1 - Lusawa, Marzenna A1 - Osuch, Tomasz PB - Polish Academy of Sciences Committee on Metrology and Scientific Instrumentation VL - vol. 28 DA - 2021.03.31 T1 - Efficient frequency jumps detection algorithm for atomic clock comparisons SP - 107 UR - http://www.czasopisma.pan.pl/dlibra/publication/edition/118925 T2 - Metrology and Measurement Systems ER -