Preferential Median in the Newtonian Gravitation Constant Value Adjustment; International Russian Automation Conference, RusAutoCon 2025

Dades bibliogràfiques
Parent link:International Russian Automation Conference, RusAutoCon 2025.— 2025.— P. 814-818
Autor principal: Muravyov (Murav’ev) S. V. Sergey Vasilyevich
Altres autors: Khudonogova L. I. Ludmila Igorevna, Shabramov V. S Vladislav Sergeevich
Sumari:Title screen
Although new definitions of the seven International System (SI) base units, tied to fundamental constants, have significantly increased the precision of measurements, the uncertainty of Newtonian gravitational constant G is still relatively high. The recommended value of G constant is determined through the adjustment procedure carried out by the Committee on Data for Science and Technology (CODATA) task group, which utilizes the conventional least squares method along with Birge ratio assuming a normality and consistency of input data, what is not inherent in the gravitational constant measurements. In this paper, the method of interval fusion with preference aggregation (IF&PA) is proposed to be applied for combining data in adjustment of the gravitational constant. Three versions of the IF&PA were studied and experimentally tested on random synthetic data to select the optimal version for the G adjustment. Then the results of real-life data of the CODATA 2018 adjustment were processed using the selected version. It is shown that the IF&PA method determines the G value with significantly lower uncertainty compared to the conventional method, and does not need any preliminary data transformations or statistical assumptions
Текстовый файл
AM_Agreement
Idioma:anglès
Publicat: 2025
Matèries:
Accés en línia:https://doi.org/10.1109/RusAutoCon65989.2025.11177218
Format: Electrònic Capítol de llibre
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=686836

MARC

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330 |a Although new definitions of the seven International System (SI) base units, tied to fundamental constants, have significantly increased the precision of measurements, the uncertainty of Newtonian gravitational constant G is still relatively high. The recommended value of G constant is determined through the adjustment procedure carried out by the Committee on Data for Science and Technology (CODATA) task group, which utilizes the conventional least squares method along with Birge ratio assuming a normality and consistency of input data, what is not inherent in the gravitational constant measurements. In this paper, the method of interval fusion with preference aggregation (IF&PA) is proposed to be applied for combining data in adjustment of the gravitational constant. Three versions of the IF&PA were studied and experimentally tested on random synthetic data to select the optimal version for the G adjustment. Then the results of real-life data of the CODATA 2018 adjustment were processed using the selected version. It is shown that the IF&PA method determines the G value with significantly lower uncertainty compared to the conventional method, and does not need any preliminary data transformations or statistical assumptions 
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463 1 |t International Russian Automation Conference, RusAutoCon 2025  |o Proceedings, Sochi, September 07-13, 2025  |c Piscataway  |n IEEE  |v P. 814-818  |d 2025 
610 1 |a interval fusion 
610 1 |a preference aggregation 
610 1 |a preferential median 
610 1 |a Newtonian constant of gravitation 
610 1 |a constant adjustment 
610 1 |a электронный ресурс 
610 1 |a труды учёных ТПУ 
700 1 |a Muravyov (Murav’ev)  |b S. V.  |c specialist in the field of control and measurement equipment  |c Professor of Tomsk Polytechnic University,Doctor of technical sciences  |f 1954-  |g Sergey Vasilyevich  |9 15440 
701 1 |a Khudonogova  |b L. I.  |c specialist in the field of informatics and computer technology  |c Associate Professor of Tomsk Polytechnic University, Candidate of Technical Sciences  |f 1989-  |g Ludmila Igorevna  |9 16741 
701 1 |a Shabramov  |b V. S  |c specialist in the field of informatics and computer technology  |c programmer of Tomsk Polytechnic University  |f 1999-  |g Vladislav Sergeevich  |9 89302 
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