Work

Detecting atomic clock frequency trends using an optimal stopping method

Year: 2016

Type: article

Abstract: We consider the problem of rapid detection of anomalies in atomic clocks. We assume that the clock error evolution can be modeled by a Wiener process with a drift changing from 0 to at some random unobservable time θ and we approach the problem by applying the quickest detection method. We describe the scope and the limits of the method and we apply it to clock experimental data.

Source: Metrologia

DOI: 10.1088/0026-1394/53/3/s89

Authors: C Zucca, P Tavella, G Peskir

Institutions: University of Turin, Istituto Nazionale di Ricerca Metrologica, University of Manchester

Language: English

Topic: Advanced Statistical Process Monitoring

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

Open Access status: hybrid

Estimated APC paid: $3,325

Funder: Università degli Studi di Torino