Author

Andrew David Conner

0 works0 citationsORCID

Recent research

  • Engineering & TechnologyOpen access

    Transitional Linearity Among Local Maxima in the Great Pyramid's Masonry Courses

    This paper models thickness variations in the Great Pyramid’s masonry courses using two independent mathematical regimes. Data source: Petrie’s 203-course height profile. Target metric: Post-maximum decrement (PMD) across 21 local maxima. Deterministic subset (PMD8): Eight bounda...

    Zenodo (CERN European Organization for Nuclear Research)2026-08-230 citationsDOI
  • Engineering & TechnologyOpen access

    Transitional Linearity Among Local Maxima in the Great Pyramid's Masonry Courses

    This paper models thickness variations in the Great Pyramid’s masonry courses using two independent mathematical regimes. Data source: Petrie’s 203-course height profile. Target metric: Post-maximum decrement (PMD) across 21 local maxima. Deterministic subset (PMD8): Eight bounda...

    Zenodo (CERN European Organization for Nuclear Research)2026-08-230 citationsDOI
  • Engineering & TechnologyOpen access

    Course Number vs. Elevation in the Great Pyramid Masonry Courses: A Theoretical Model

    Petrie (1883) observed that the Great Pyramid's unusually thick masonry courses show no relation to the intervening distances or number of courses between them, but proposed as an alternative that they might correspond to levels where the pyramid's cross-section is a simple fract...

    Zenodo (CERN European Organization for Nuclear Research)2026-08-090 citationsDOI
  • Engineering & TechnologyOpen access

    Course Number vs. Elevation in the Great Pyramid Masonry Courses: A Theoretical Model

    Petrie (1883) observed that the Great Pyramid's unusually thick masonry courses show no relation to the intervening distances or number of courses between them, but proposed as an alternative that they might correspond to levels where the pyramid's cross-section is a simple fract...

    Zenodo (CERN European Organization for Nuclear Research)2026-08-090 citationsDOI