Novel Mach effect sensor’s ‘improbable’ observations (2016-2021)

P. M. Jansson, J. L. Schmalzel, N. Graneau, P. S. Kaladius, L. Baramidze, I. R. Maduka, J. Medina, E. L. Jansson, W. McGrath

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

This is the sixth peer-reviewed publication to report data from our novel, spherical Mach Effect electromagnetic sensor apparatus. The 2020-2021 current results were collected during the recent conjunction of Jupiter and Saturn on December 25th 2020 and again during an experimental run on February 23rd 2021. The observations of these three (3) additional high-sigma (≥ 4σ) anomalies suggest that the Mach Effect is detectable and electromagnetic in its nature. These recent electromagnetic interactions represent observations 9, 10 and 11 completed by a third set of researchers. The novel sensor/detector creates reproducible results and, in such a manner, as to directionally “point” to significant “local” matter implicated as potential sources of inertia in a physical system. The probability that these results could be achieved randomly with zero false positives to date is less than 3.2 E-6. Applying Z-statistic probabilities to only the February outlier reduces this probability further to 8.4 E-9.

Original languageEnglish (US)
Title of host publication2021 IEEE Sensors Applications Symposium, SAS 2021 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728194318
DOIs
StatePublished - Aug 23 2021
Event2021 IEEE Sensors Applications Symposium, SAS 2021 - Virtual, Sundsvall, Sweden
Duration: Aug 23 2021Aug 25 2021

Publication series

Name2021 IEEE Sensors Applications Symposium, SAS 2021 - Proceedings

Conference

Conference2021 IEEE Sensors Applications Symposium, SAS 2021
Country/TerritorySweden
CityVirtual, Sundsvall
Period8/23/218/25/21

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Instrumentation

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