Adjustment of fundamental physical constant values using the interval fusion with preference aggregation

Результат исследований: Материалы для журналаСтатья

Аннотация

For adjustment of fundamental constants, the interval fusion with preference aggregation (IF&PA) method is proposed to be used, which was proved to be robust and accurate when processing heteroscedastic data. The method forms a profile of rankings of discrete values obtained by partition of the range of actual values (RAV) being a union of input intervals to be adjusted; determines the profile consensus ranking; and the highest ranked consensus value is accepted as a fusion result x*. A nonlinear effect of the RAV partition norm on x* is studied. IF&PA, redesigned to obtain more accurate result x**, was experimentally tested when adjusting the Planck constant values on both random input data and real life values used in the CODATA adjustments 2006 and 2017. It is shown the IF&PA works well with no statistical assumptions and provides adjusted result x** with tangibly reduced uncertainty in contrast to traditional Birge ratio methods.

Язык оригиналаАнглийский
Номер статьи108037
ЖурналMeasurement: Journal of the International Measurement Confederation
Том163
DOI
СостояниеОпубликовано - 15 окт 2020

ASJC Scopus subject areas

  • Instrumentation
  • Electrical and Electronic Engineering

Fingerprint Подробные сведения о темах исследования «Adjustment of fundamental physical constant values using the interval fusion with preference aggregation». Вместе они формируют уникальный семантический отпечаток (fingerprint).

  • Цитировать