| 000 | 03083nlm1a2200433 4500 | ||
|---|---|---|---|
| 001 | 662331 | ||
| 005 | 20231030041817.0 | ||
| 035 | _a(RuTPU)RU\TPU\network\33468 | ||
| 035 | _aRU\TPU\network\32953 | ||
| 090 | _a662331 | ||
| 100 | _a20200716a2020 k y0engy50 ba | ||
| 101 | 0 | _aeng | |
| 102 | _aNL | ||
| 135 | _adrcn ---uucaa | ||
| 181 | 0 | _ai | |
| 182 | 0 | _ab | |
| 200 | 1 |
_aAdjustment of fundamental physical constant values using the interval fusion with preference aggregation _fS. V. Muravyov (Murav’ev), L. I. Khudonogova, Ho Minh Dai |
|
| 203 |
_aText _celectronic |
||
| 300 | _aTitle screen | ||
| 320 | _a[References: 37 tit.] | ||
| 330 | _aFor 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. | ||
| 333 | _aРежим доступа: по договору с организацией-держателем ресурса | ||
| 461 | _tMeasurement | ||
| 463 |
_tVol. 163 _v[108037, 11 p.] _d2020 |
||
| 610 | 1 | _aэлектронный ресурс | |
| 610 | 1 | _aтруды учёных ТПУ | |
| 610 | 1 | _ainterval fusion | |
| 610 | 1 | _apreference aggregation | |
| 610 | 1 | _afundamental constant adjustment | |
| 610 | 1 | _aconsensus estimate | |
| 610 | 1 | _aranking | |
| 610 | 1 | _aранжирование | |
| 700 | 1 |
_aMuravyov (Murav’ev) _bS. V. _cspecialist in the field of control and measurement equipment _cProfessor of Tomsk Polytechnic University,Doctor of technical sciences _f1954- _gSergey Vasilyevich _2stltpush _3(RuTPU)RU\TPU\pers\31262 |
|
| 701 | 1 |
_aKhudonogova _bL. I. _cspecialist in the field of informatics and computer technology _cEngineer of Tomsk Polytechnic University _f1989- _gLudmila Igorevna _2stltpush _3(RuTPU)RU\TPU\pers\32893 |
|
| 701 | 0 | _aHo Minh Dai | |
| 712 | 0 | 2 |
_aНациональный исследовательский Томский политехнический университет _bИнженерная школа информационных технологий и робототехники _bОтделение автоматизации и робототехники _h7952 _2stltpush _3(RuTPU)RU\TPU\col\23553 |
| 801 | 2 |
_aRU _b63413507 _c20200716 _gRCR |
|
| 856 | 4 | _uhttps://doi.org/10.1016/j.measurement.2020.108037 | |
| 942 | _cCF | ||