From 0b4970801df3c9e890af9835f1f9b87d61a04e0f Mon Sep 17 00:00:00 2001
From: Michael Jackson <mike.jackson@bluequartz.net>
Date: Thu, 28 May 2026 18:06:03 -0400
Subject: [PATCH] VV: Compute Average C-Axis has been V&V'ed

(cherry picked from commit 93e1897ea9ca948e593ecabfa0f6cd06d0883f94)
---
 .../docs/ComputeAvgCAxesFilter.md             |  43 ++--
 .../Images/ComputeAvgCAxes_HexagonalCAxis.png | Bin 0 -> 66153 bytes
 .../Images/ComputeAvgCAxes_HexagonalCAxis.svg |  93 +++++++++
 .../Filters/Algorithms/ComputeAvgCAxes.cpp    | 113 +++++------
 .../Filters/Algorithms/ComputeAvgCAxes.hpp    |   2 -
 .../OrientationAnalysis/test/CMakeLists.txt   |   2 +-
 .../test/ComputeAvgCAxesTest.cpp              | 192 +++++++++++++-----
 .../vv/ComputeAvgCAxesFilter.md               | 176 ++++++++++++++++
 .../vv/deviations/ComputeAvgCAxesFilter.md    | 125 ++++++++++++
 9 files changed, 620 insertions(+), 126 deletions(-)
 create mode 100644 src/Plugins/OrientationAnalysis/docs/Images/ComputeAvgCAxes_HexagonalCAxis.png
 create mode 100644 src/Plugins/OrientationAnalysis/docs/Images/ComputeAvgCAxes_HexagonalCAxis.svg
 create mode 100644 src/Plugins/OrientationAnalysis/vv/ComputeAvgCAxesFilter.md
 create mode 100644 src/Plugins/OrientationAnalysis/vv/deviations/ComputeAvgCAxesFilter.md

diff --git a/src/Plugins/OrientationAnalysis/docs/ComputeAvgCAxesFilter.md b/src/Plugins/OrientationAnalysis/docs/ComputeAvgCAxesFilter.md
index ee93e24852..7fafb63ad4 100644
--- a/src/Plugins/OrientationAnalysis/docs/ComputeAvgCAxesFilter.md
+++ b/src/Plugins/OrientationAnalysis/docs/ComputeAvgCAxesFilter.md
@@ -6,29 +6,44 @@ Statistics (Crystallography)
 
 ## Description
 
-This **Filter** determines the average C-axis location of each **Feature** by the following algorithm:
+This **Filter** computes the average C-axis direction for each **Feature** (grain) in hexagonal materials. The result is a unit vector per **Feature** that indicates where the grain's C-axis points in the sample reference frame.
 
-1. Gather all **Elements** that belong to the **Feature**
-2. Determine the location of the c-axis in the sample *reference frame* for the rotated quaternions for all **Elements**. This is achieved by converting the input quaternion to
-an orientation matrix (which represents a passive transform matrix), taking the transpose of the matrix to convert it from passive to active, and then multiplying the
-transposed matrix by the crystallographic C-Axis direction vector <001>.
-3. Average the locations and store the average for the **Feature**
+### What is the C-Axis?
 
-*Note:* This **Filter** will only work properly for *Hexagonal* materials.  The **Filter** does not apply any symmetry 
-operators because there is only one c-axis (<001>) in *Hexagonal* materials and thus all symmetry operators will leave 
-the c-axis in the same position in the sample *reference frame*.  However, in *Cubic* materials, for example, the {100} 
-family of directions are all equivalent and the <001> direction will change location in the sample *reference frame* when 
-symmetry operators are applied.
+In hexagonal crystal structures (such as titanium, magnesium, and zinc), the *C-axis* is the unique crystallographic direction that runs along the long axis of the hexagonal unit cell (the [001] direction). This axis is important because many mechanical and physical properties of hexagonal materials vary depending on whether they are measured along or perpendicular to the C-axis.
 
-This filter will error out if **ALL** phases are non-hexagonal. Any non-hexagonal phases will have their computed values set to NaN value.
+![Fig. 1: The C-axis in a hexagonal unit cell.](Images/ComputeAvgCAxes_HexagonalCAxis.png)
 
-The output is a direction vector for each feature.
+### How This Filter Works
+
+Each **Cell** (voxel) in a grain has its own measured orientation. This filter determines where each cell's C-axis points in the physical sample coordinate system, then averages those directions across all cells belonging to the same **Feature**:
+
+1. For each **Cell**, the filter uses the cell's orientation (quaternion) to rotate the crystal [001] direction into the sample reference frame.
+2. The rotated C-axis directions are accumulated for each **Feature**, ensuring all directions point into the same hemisphere for a consistent average.
+3. The accumulated directions are normalized to produce a unit vector for each **Feature**.
+
+### Hexagonal Materials Only
+
+This filter only produces valid results for hexagonal phases (6/mmm or 6/m symmetry). In hexagonal materials, the C-axis is unique -- there is only one [001] direction, so crystal symmetry does not create ambiguity.
+
+In cubic materials, the [001], [010], and [100] directions are all crystallographically equivalent. Applying symmetry operators would move the [001] direction to different positions in the sample frame, making a simple average meaningless. For this reason, the filter **silently skips non-hexagonal cells** during accumulation. A **Feature** whose contributing cells are *all* non-hexagonal (or which has no cells assigned to it at all) will have its output set to **NaN**.
+
+The filter will produce an error if no hexagonal phases are present in the data (`-76402`: "No phases that have a crystal symmetry of Hexagonal (6/mmm or 6/m) were found.").
+
+### Required Input Sources
+
+This filter operates on previously segmented data and requires that several prior operations have already been run:
+
+- **Cell Quaternions** -- typically read from EBSD data via [Read H5EBSD](ReadH5EbsdFilter.md), [Read CTF Data](ReadCtfDataFilter.md), or [Read ANG Data](ReadAngDataFilter.md); can also be produced from Euler angles by [Convert Orientations](ConvertOrientationsFilter.md).
+- **Cell Feature Ids** -- produced by a segmentation filter such as [Segment Features (Misorientation)](EBSDSegmentFeaturesFilter.md) or [Segment Features (C-Axis Misalignment)](CAxisSegmentFeaturesFilter.md).
+- **Cell Phases** -- typically read from EBSD data alongside the quaternions.
+- **Crystal Structures** -- ensemble-level array read from EBSD data or created by [Create Ensemble Info](CreateEnsembleInfoFilter.md).
 
 % Auto generated parameter table will be inserted here
 
 ## Example Pipelines
 
-EBSD_Hexagonal_Data_Analysis
++ `EBSD_Hexagonal_Data_Analysis`
 
 ## License & Copyright
 
diff --git a/src/Plugins/OrientationAnalysis/docs/Images/ComputeAvgCAxes_HexagonalCAxis.png b/src/Plugins/OrientationAnalysis/docs/Images/ComputeAvgCAxes_HexagonalCAxis.png
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diff --git a/src/Plugins/OrientationAnalysis/docs/Images/ComputeAvgCAxes_HexagonalCAxis.svg b/src/Plugins/OrientationAnalysis/docs/Images/ComputeAvgCAxes_HexagonalCAxis.svg
new file mode 100644
index 0000000000..63a28bcaa6
--- /dev/null
+++ b/src/Plugins/OrientationAnalysis/docs/Images/ComputeAvgCAxes_HexagonalCAxis.svg
@@ -0,0 +1,93 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
+<svg width="100%" height="100%" viewBox="0 0 480 400" version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" xml:space="preserve" xmlns:serif="http://www.serif.com/" style="fill-rule:evenodd;clip-rule:evenodd;">
+    <g transform="matrix(1,0,0,0.769231,0,0)">
+        <path d="M480,15.6L480,504.4C480,513.01 474.623,520 468,520L12,520C5.377,520 0,513.01 0,504.4L0,15.6C0,6.99 5.377,0 12,0L468,0C474.623,0 480,6.99 480,15.6Z" style="fill:white;stroke:rgb(208,213,218);stroke-width:1.5px;"/>
+    </g>
+    <g transform="matrix(1.37405,0,0,1.37405,239.196,41.2215)">
+        <text x="-79.82px" y="0px" style="font-family:'Helvetica-Bold', 'Helvetica';font-weight:700;font-size:17px;fill:rgb(44,62,80);">Hexagonal Unit Cell</text>
+    </g>
+    <g transform="matrix(1.37405,0,0,1.37405,239.196,68.7024)">
+        <text x="-162.224px" y="0px" style="font-family:'Helvetica';font-size:13px;fill:rgb(93,109,126);">The C-axis [001] is the unique axis in hexagonal crystals</text>
+    </g>
+    <g transform="matrix(1,0,0,1,220,230)">
+        <g transform="matrix(1.37405,0,0,1.37405,4.39035,143.332)">
+            <path d="M-40,-130L40,-130" style="fill:none;fill-rule:nonzero;stroke:rgb(44,62,80);stroke-width:1px;stroke-dasharray:5,4;"/>
+        </g>
+        <g transform="matrix(1.37405,0,0,1.37405,4.39035,143.332)">
+            <path d="M80,-100L40,-130" style="fill:none;fill-rule:nonzero;stroke:rgb(44,62,80);stroke-width:1.5px;"/>
+        </g>
+        <g transform="matrix(1.37405,0,0,1.37405,4.39035,143.332)">
+            <path d="M40,-130L-40,-130" style="fill:none;fill-rule:nonzero;stroke:rgb(44,62,80);stroke-width:1.5px;"/>
+        </g>
+        <g transform="matrix(1.37405,0,0,1.37405,4.39035,143.332)">
+            <path d="M-40,-130L-80,-100" style="fill:none;fill-rule:nonzero;stroke:rgb(44,62,80);stroke-width:1.5px;"/>
+        </g>
+        <g transform="matrix(1.37405,0,0,1.37405,4.39035,143.332)">
+            <path d="M-80,-100L-40,-70" style="fill:none;fill-rule:nonzero;stroke:rgb(44,62,80);stroke-width:1.5px;"/>
+        </g>
+        <g transform="matrix(1.37405,0,0,1.37405,4.39035,143.332)">
+            <path d="M-40,-70L40,-70" style="fill:none;fill-rule:nonzero;stroke:rgb(44,62,80);stroke-width:1.5px;"/>
+        </g>
+        <g transform="matrix(1.37405,0,0,1.37405,4.39035,143.332)">
+            <path d="M40,-70L80,-100" style="fill:none;fill-rule:nonzero;stroke:rgb(44,62,80);stroke-width:1.5px;"/>
+        </g>
+        <g transform="matrix(1.37405,0,0,0.515788,-4.61051,-22.5784)">
+            <path d="M0,60L0,-180" style="fill:none;fill-rule:nonzero;"/>
+            <g transform="matrix(0.727776,-0,-0,1.93878,-156.755,-402.145)">
+                <path d="M211.498,230.585L215.389,238.369L219.281,230.585L211.498,230.585Z" style="fill:rgb(40,116,166);fill-rule:nonzero;"/>
+                <path d="M211.498,122.363L215.389,114.58L219.281,122.363L211.498,122.363Z" style="fill:rgb(40,116,166);fill-rule:nonzero;"/>
+                <path d="M215.389,232.142L215.389,120.807" style="fill:none;fill-rule:nonzero;stroke:rgb(40,116,166);stroke-width:2.59px;"/>
+            </g>
+        </g>
+        <g transform="matrix(1.37405,0,0,1.37405,-21.925,-109.634)">
+            <text x="0px" y="0px" style="font-family:'Helvetica-BoldOblique', 'Helvetica';font-weight:700;font-style:italic;font-size:16px;fill:rgb(40,116,166);">c</text>
+        </g>
+        <g transform="matrix(1.21294,-0.2143,0.191517,1.35723,-3.38356,5.38908)">
+            <path d="M0,0L95,15" style="fill:none;fill-rule:nonzero;stroke:rgb(142,68,173);stroke-width:2px;"/>
+        </g>
+        <g transform="matrix(1.37405,0,0,1.37405,125.219,7.7577)">
+            <text x="0px" y="0px" style="font-family:'Helvetica-BoldOblique', 'Helvetica';font-weight:700;font-style:italic;font-size:14px;fill:rgb(142,68,173);">a</text>
+        </g>
+        <g transform="matrix(1.37405,0,0,1.37405,140.334,14.6279)">
+            <text x="0px" y="0px" style="font-family:'Helvetica-Bold', 'Helvetica';font-weight:700;font-size:10px;fill:rgb(142,68,173);">1</text>
+        </g>
+        <g transform="matrix(1.1098,-0.196365,-0.245025,1.18929,-0.835086,5.95158)">
+            <path d="M0,0L-55,-45" style="fill:none;fill-rule:nonzero;stroke:rgb(142,68,173);stroke-width:2px;"/>
+        </g>
+        <g transform="matrix(1.37405,0,0,1.37405,-73.1822,-47.7739)">
+            <text x="0px" y="0px" style="font-family:'Helvetica-BoldOblique', 'Helvetica';font-weight:700;font-style:italic;font-size:14px;fill:rgb(142,68,173);">a</text>
+        </g>
+        <g transform="matrix(1.37405,0,0,1.37405,-58.0677,-40.9036)">
+            <text x="0px" y="0px" style="font-family:'Helvetica-Bold', 'Helvetica';font-weight:700;font-size:10px;fill:rgb(142,68,173);">2</text>
+        </g>
+        <g transform="matrix(0.728443,-0.0886945,0.72032,1.11111,-3.38356,5.38908)">
+            <path d="M0,0L-95,30" style="fill:none;fill-rule:nonzero;stroke:rgb(142,68,173);stroke-width:2px;"/>
+        </g>
+        <g transform="matrix(1.37405,0,0,1.37405,-73.1822,64.0706)">
+            <text x="0px" y="0px" style="font-family:'Helvetica-BoldOblique', 'Helvetica';font-weight:700;font-style:italic;font-size:14px;fill:rgb(142,68,173);">a</text>
+        </g>
+        <g transform="matrix(1.37405,0,0,1.37405,-58.0677,70.9409)">
+            <text x="0px" y="0px" style="font-family:'Helvetica-Bold', 'Helvetica';font-weight:700;font-size:10px;fill:rgb(142,68,173);">3</text>
+        </g>
+        <g transform="matrix(1.37405,0,0,1.37405,-4.61051,4.24675)">
+            <circle cx="0" cy="0" r="3" style="fill:rgb(44,62,80);"/>
+        </g>
+    </g>
+    <g transform="matrix(1,0,0,1,20,380)">
+        <g transform="matrix(0.875084,0,0,0.790716,27.4815,-48.2382)">
+            <path d="M440,10.117L440,49.883C440,55.467 435.904,60 430.858,60L9.142,60C4.096,60 0,55.467 0,49.883L0,10.117C0,4.533 4.096,0 9.142,0L430.858,0C435.904,0 440,4.533 440,10.117Z" style="fill:rgb(244,236,247);stroke:rgb(142,68,173);stroke-width:1px;"/>
+        </g>
+        <g transform="matrix(1.37405,0,0,1.37405,34.8161,-63.8515)">
+            <circle cx="20" cy="30" r="10" style="fill:rgb(142,68,173);"/>
+        </g>
+        <g transform="matrix(1.37405,0,0,1.37405,62.3192,-18.0091)">
+            <text x="-1.528px" y="0px" style="font-family:'Helvetica-Bold', 'Helvetica';font-weight:700;font-size:11px;fill:white;">i</text>
+        </g>
+        <g transform="matrix(1.37405,0,0,1.37405,82.4434,-18.0091)">
+            <g transform="matrix(12,0,0,12,228.111,0)">
+            </g>
+            <text x="0px" y="0px" style="font-family:'Helvetica';font-size:12px;fill:rgb(91,45,128);">The C-axis is unique in hexagonal crystals.</text>
+        </g>
+    </g>
+</svg>
diff --git a/src/Plugins/OrientationAnalysis/src/OrientationAnalysis/Filters/Algorithms/ComputeAvgCAxes.cpp b/src/Plugins/OrientationAnalysis/src/OrientationAnalysis/Filters/Algorithms/ComputeAvgCAxes.cpp
index 04fe595c5b..c43e673fe4 100644
--- a/src/Plugins/OrientationAnalysis/src/OrientationAnalysis/Filters/Algorithms/ComputeAvgCAxes.cpp
+++ b/src/Plugins/OrientationAnalysis/src/OrientationAnalysis/Filters/Algorithms/ComputeAvgCAxes.cpp
@@ -26,12 +26,6 @@ ComputeAvgCAxes::ComputeAvgCAxes(DataStructure& dataStructure, const IFilter::Me
 // -----------------------------------------------------------------------------
 ComputeAvgCAxes::~ComputeAvgCAxes() noexcept = default;
 
-// -----------------------------------------------------------------------------
-const std::atomic_bool& ComputeAvgCAxes::getCancel()
-{
-  return m_ShouldCancel;
-}
-
 // -----------------------------------------------------------------------------
 Result<> ComputeAvgCAxes::operator()()
 {
@@ -66,41 +60,40 @@ Result<> ComputeAvgCAxes::operator()()
   const auto& quats = m_DataStructure.getDataRefAs<Float32Array>(m_InputValues->QuatsArrayPath);
   const auto& cellPhases = m_DataStructure.getDataRefAs<Int32Array>(m_InputValues->CellPhasesArrayPath);
   auto& avgCAxes = m_DataStructure.getDataRefAs<Float32Array>(m_InputValues->AvgCAxesArrayPath);
+  avgCAxes.fill(0.0f); // Initialize all output values to ZERO defensively.
 
   const usize totalPoints = featureIds.getNumberOfTuples();
   const usize totalFeatures = avgCAxes.getNumberOfTuples();
 
-  const Eigen::Vector3d cAxis{0.0f, 0.0f, 1.0f};
-  Eigen::Vector3d c1{0.0f, 0.0f, 0.0f};
+  const Eigen::Vector3d cAxis{0.0, 0.0, 1.0};
+
+  std::vector<int32> cellCount(totalFeatures, 0);
 
-  std::vector<int32> counter(totalFeatures, 0);
+  m_MessageHandler({IFilter::Message::Type::Info, "Computing cell contributions"});
 
   // Loop over each cell
   for(usize i = 0; i < totalPoints; i++)
   {
     if(m_ShouldCancel)
     {
-      return {};
+      return result;
     }
 
     int32 currentFeatureId = featureIds[i];
     // If the featureId for a given cell is valid ( > 0) then analyze that value
     if(currentFeatureId > 0)
     {
-      const int32 currentCellPhase = cellPhases[i];                          // Get the current cell phase
-      const auto crystalStructureType = crystalStructures[currentCellPhase]; // Get the CrystalStructure, i.e., Laue class of the cell
+      const int32 currentCellPhase = cellPhases[i];                             // Get the current cell phase
+      const auto currentCrystalStructure = crystalStructures[currentCellPhase]; // Get the CrystalStructure, i.e., Laue class of the cell
       const usize cAxesIndex = 3 * currentFeatureId;
 
-      // Ensure the Laue class is correct, otherwise mark the values with a NaN and continue
-      if(crystalStructureType != ebsdlib::CrystalStructure::Hexagonal_High && crystalStructureType != ebsdlib::CrystalStructure::Hexagonal_Low)
+      // If the Laue class is not Hexagonal, then continue to the next cell
+      if(currentCrystalStructure != ebsdlib::CrystalStructure::Hexagonal_High && currentCrystalStructure != ebsdlib::CrystalStructure::Hexagonal_Low)
       {
-        avgCAxes[cAxesIndex] = NAN;
-        avgCAxes[cAxesIndex + 1] = NAN;
-        avgCAxes[cAxesIndex + 2] = NAN;
         continue;
       }
 
-      counter[currentFeatureId]++; // Increment the count
+      cellCount[currentFeatureId]++; // Increment the counter if we are the appropriate Laue class.
       const usize quatIndex = i * 4;
 
       // Create the 3x3 Orientation Matrix from the Quaternion. This represents a passive rotation matrix
@@ -110,73 +103,73 @@ Result<> ComputeAvgCAxes::operator()()
       // Multiply the active transformation matrix by the C-Axis (as Miller Index). This actively rotates
       // the crystallographic C-Axis (which is along the <0,0,1> direction) into the physical sample
       // reference frame
-      c1 = oMatrix.transpose() * cAxis;
+      Eigen::Vector3d cellCAxis = oMatrix.transpose() * cAxis;
 
       // normalize so that the magnitude is 1
-      c1.normalize();
+      cellCAxis.normalize();
 
       // Compute the running average c-axis and normalize the result
-      Eigen::Vector3d curCAxis{0.0f, 0.0f, 0.0f};
-      curCAxis[0] = avgCAxes[cAxesIndex] / static_cast<float32>(counter[currentFeatureId]);
-      curCAxis[1] = avgCAxes[cAxesIndex + 1] / static_cast<float32>(counter[currentFeatureId]);
-      curCAxis[2] = avgCAxes[cAxesIndex + 2] / static_cast<float32>(counter[currentFeatureId]);
-      curCAxis.normalize();
+      Eigen::Vector3d runningCAxisAvg{avgCAxes[cAxesIndex] / static_cast<float32>(cellCount[currentFeatureId]), avgCAxes[cAxesIndex + 1] / static_cast<float32>(cellCount[currentFeatureId]),
+                                      avgCAxes[cAxesIndex + 2] / static_cast<float32>(cellCount[currentFeatureId])};
+      runningCAxisAvg.normalize();
 
       // Ensure that angle between the current point's sample reference frame C-Axis
       // and the running average sample C-Axis is positive
-      float64 w = ImageRotationUtilities::CosBetweenVectors(c1, curCAxis);
-      if(w < 0.0)
+      float64 cosAngle = ImageRotationUtilities::CosBetweenVectors(cellCAxis, runningCAxisAvg);
+      if(cosAngle < 0.0)
       {
-        c1 *= -1.0f;
+        cellCAxis *= -1.0f;
       }
 
       // Continue summing up the rotations
-      float value = avgCAxes[cAxesIndex] + c1[0];
-      avgCAxes[cAxesIndex] = value;
+      // Eigen math is double; output array is float32
+      float temp = avgCAxes[cAxesIndex] + cellCAxis[0];
+      avgCAxes[cAxesIndex] = temp;
 
-      value = avgCAxes[cAxesIndex + 1] + c1[1];
-      avgCAxes[cAxesIndex + 1] = value;
+      temp = avgCAxes[cAxesIndex + 1] + cellCAxis[1];
+      avgCAxes[cAxesIndex + 1] = temp;
 
-      value = avgCAxes[cAxesIndex + 2] + c1[2];
-      avgCAxes[cAxesIndex + 2] = value;
+      temp = avgCAxes[cAxesIndex + 2] + cellCAxis[2];
+      avgCAxes[cAxesIndex + 2] = temp;
     }
   }
 
-  for(size_t i = 1; i < totalFeatures; i++)
+  // Now that each feature's Axis is summed up, compute the final average C-Axis
+  m_MessageHandler({IFilter::Message::Type::Info, "Computing final feature average C-Axis values"});
+
+  for(usize currentFeatureId = 0; currentFeatureId < totalFeatures; currentFeatureId++)
   {
     if(m_ShouldCancel)
     {
-      return {};
+      return result;
     }
 
-    const usize tupleIndex = i * 3;
-    float32 avgCAxesValue = avgCAxes[tupleIndex];
-    if(std::isnan(avgCAxesValue))
-    {
-      continue;
-    }
-    // If we got passed the last check this could happen if the cell points were
-    // masked out? Maybe?
-    if(counter[i] == 0)
+    // If the value of this feature's counter == 0, then there are 2 possibilities
+    // that could have happened:
+    // [1] The feature's phase was not hexagonal and therefore in the "totalPoints" loop above the counter never got incremented.
+    // [2] There is a featureId that does not have any voxels assigned to it. We need more information here to determine what to do.
+    //     - If we had the "Feature-Phases array then we could look up the phase and then we would know. This would require another input from the user
+    //     - If the featureId does not have any voxels assigned, then how would you generate an average anyway, so applying NaN to the value is the right move here
+
+    const usize cAxesIndex = 3 * currentFeatureId;
+    if(cellCount[currentFeatureId] == 0)
     {
-      avgCAxes[tupleIndex] = 0;
-      avgCAxes[tupleIndex + 1] = 0;
-      avgCAxes[tupleIndex + 2] = 1;
+      avgCAxes[cAxesIndex] = NAN;
+      avgCAxes[cAxesIndex + 1] = NAN;
+      avgCAxes[cAxesIndex + 2] = NAN;
     }
     else
     {
-      // Compute the final average c-axis value
-      float value = avgCAxes[3 * i];
-      value /= static_cast<float>(counter[i]);
-      avgCAxes[3 * i] = value;
-
-      value = avgCAxes[3 * i + 1];
-      value /= static_cast<float>(counter[i]);
-      avgCAxes[3 * i + 1] = value;
-
-      value = avgCAxes[3 * i + 2];
-      value /= static_cast<float>(counter[i]);
-      avgCAxes[3 * i + 2] = value;
+      // Divide the accumulated sum by the cell count, then normalize so the
+      // output is a unit-magnitude C-axis direction. The antipodal-flip rule
+      // guarantees |sum| >= sqrt(cellCount), so the divided vector's magnitude
+      // is >= 1/sqrt(cellCount) > 0 -- no near-zero guard needed.
+      Eigen::Vector3d finalAvg{avgCAxes[cAxesIndex] / static_cast<float64>(cellCount[currentFeatureId]), avgCAxes[cAxesIndex + 1] / static_cast<float64>(cellCount[currentFeatureId]),
+                               avgCAxes[cAxesIndex + 2] / static_cast<float64>(cellCount[currentFeatureId])};
+      finalAvg.normalize();
+      avgCAxes[cAxesIndex] = static_cast<float32>(finalAvg[0]);
+      avgCAxes[cAxesIndex + 1] = static_cast<float32>(finalAvg[1]);
+      avgCAxes[cAxesIndex + 2] = static_cast<float32>(finalAvg[2]);
     }
   }
   return result;
diff --git a/src/Plugins/OrientationAnalysis/src/OrientationAnalysis/Filters/Algorithms/ComputeAvgCAxes.hpp b/src/Plugins/OrientationAnalysis/src/OrientationAnalysis/Filters/Algorithms/ComputeAvgCAxes.hpp
index 45cd115ed5..fc51cd53a2 100644
--- a/src/Plugins/OrientationAnalysis/src/OrientationAnalysis/Filters/Algorithms/ComputeAvgCAxes.hpp
+++ b/src/Plugins/OrientationAnalysis/src/OrientationAnalysis/Filters/Algorithms/ComputeAvgCAxes.hpp
@@ -37,8 +37,6 @@ class ORIENTATIONANALYSIS_EXPORT ComputeAvgCAxes
 
   Result<> operator()();
 
-  const std::atomic_bool& getCancel();
-
 private:
   DataStructure& m_DataStructure;
   const ComputeAvgCAxesInputValues* m_InputValues = nullptr;
diff --git a/src/Plugins/OrientationAnalysis/test/CMakeLists.txt b/src/Plugins/OrientationAnalysis/test/CMakeLists.txt
index ec156df973..efbe1bfb9f 100644
--- a/src/Plugins/OrientationAnalysis/test/CMakeLists.txt
+++ b/src/Plugins/OrientationAnalysis/test/CMakeLists.txt
@@ -128,7 +128,6 @@ if(EXISTS "${DREAM3D_DATA_DIR}" AND SIMPLNX_DOWNLOAD_TEST_FILES)
   download_test_data(DREAM3D_DATA_DIR ${DREAM3D_DATA_DIR} ARCHIVE_NAME 6_6_read_ctf_data_2.tar.gz SHA512 f397fa3bf457615a90a4b48eaafded2aa4952b41ccb28d9da6a83adc38aea9c22f2bb5a955f251edeca9ef8265b6bf1d74e829b1340f45cf52620a237aad1707)
   download_test_data(DREAM3D_DATA_DIR ${DREAM3D_DATA_DIR} ARCHIVE_NAME 6_6_Small_IN100_GBCD.tar.gz SHA512 543e3bdcee24ff9e5cd80dfdedc39ceef1529e7172cebd01d8e5518292ffdf4e0eb2e79d75854cb3eaca5c60e19c861ca67f369e21b81c306edb66327f47a1e3)
   download_test_data(DREAM3D_DATA_DIR ${DREAM3D_DATA_DIR} ARCHIVE_NAME 6_6_stats_test_v2.tar.gz SHA512 e84999dec914d81efce4fc4237c49c9bf32e48381b1e79f58aa4df934f0d7606cd7a948f9a5e7b17a126a7944cc531b531cfdc70756ca3e2207b20734e089723)
-  download_test_data(DREAM3D_DATA_DIR ${DREAM3D_DATA_DIR} ARCHIVE_NAME 7_2_AvgCAxis.tar.gz SHA512 054d1fbb92baacfa79f0bd326ae32b5bfc67d0935413ea8f194980527ff9694bd21a49f73e43d59b731a567ea89190523176bf5c98e8585e7b206265d5b05143)
   download_test_data(DREAM3D_DATA_DIR ${DREAM3D_DATA_DIR} ARCHIVE_NAME 7_compute_triangle_shapes_test.tar.gz SHA512 562ec65d22771817655ac85e267b1ea9822ab478ef732a52ce05052e4a171fc131bb879c9982df32b726d68a350f092695af97633f69e97226a6147cd0608b82)
   download_test_data(DREAM3D_DATA_DIR ${DREAM3D_DATA_DIR} ARCHIVE_NAME 7_ComputeAvgOrientation_v2.tar.gz SHA512 2c2a691f1da301c449c20bafec65512d5134db38384ac7cb4c910880ccd87a260a5f011e905f35b97abff3952309f109c737c63ec3c833708926827a62a92efc)
   download_test_data(DREAM3D_DATA_DIR ${DREAM3D_DATA_DIR} ARCHIVE_NAME 7_read_oem_ebsd_h5_files.tar.gz SHA512 95fa4cc0fb6bce26bfd6d28c0205a9e0f6497ad876a7cc4381117e668836936b35683ed5ec757cadd124a6c6fec7b38fe11f72512105bbd677bcf4210892ac19)
@@ -158,6 +157,7 @@ if(EXISTS "${DREAM3D_DATA_DIR}" AND SIMPLNX_DOWNLOAD_TEST_FILES)
   download_test_data(DREAM3D_DATA_DIR ${DREAM3D_DATA_DIR} ARCHIVE_NAME write_stats_gen_odf_angle_file.tar.gz SHA512 be3f663aae1f78e5b789200421534ed9fe293187ec3514796ac8177128b34ded18bb9a98b8e838bb283f9818ac30dc4b19ec379bdd581b1a98eb36d967cdd319)
   download_test_data(DREAM3D_DATA_DIR ${DREAM3D_DATA_DIR} ARCHIVE_NAME 6_5_MergeTwins.tar.gz SHA512 756da6b9a2fdc6c7f1cf611243b889b8da0bdc172c1cd184f81672c3cdf651f1f450aecff2e2e0c9b1fa367735ca1df26436d88fa342cea1825b4e5665aa7dfd)
   download_test_data(DREAM3D_DATA_DIR ${DREAM3D_DATA_DIR} ARCHIVE_NAME compute_feature_reference_misorientation.tar.gz SHA512 6ea9c04ca5b0c0439573b5a14bda63592181c6badb4dd325b542fb97ff2a5d492e83d2bac1bf5999612cbdb7697ec48e321549427470f1f23ccd37921c6a95f1)
+  download_test_data(DREAM3D_DATA_DIR ${DREAM3D_DATA_DIR} ARCHIVE_NAME compute_avg_c_axis.tar.gz SHA512 4ee957b4a5e78e1d75e3585016a33de40985c66a8e8d1036b252e5974eb2b3360f34dacdcb51cd1d1ae25bfef2bb638979912cbc4555ff521eb2f42a167155b0)
 
 endif()
 
diff --git a/src/Plugins/OrientationAnalysis/test/ComputeAvgCAxesTest.cpp b/src/Plugins/OrientationAnalysis/test/ComputeAvgCAxesTest.cpp
index 8642b9ea32..b6f35a58a5 100644
--- a/src/Plugins/OrientationAnalysis/test/ComputeAvgCAxesTest.cpp
+++ b/src/Plugins/OrientationAnalysis/test/ComputeAvgCAxesTest.cpp
@@ -1,6 +1,7 @@
 #include <catch2/catch.hpp>
+
+#include <cmath>
 #include <filesystem>
-#include <fstream>
 
 #include "simplnx/Core/Application.hpp"
 #include "simplnx/Pipeline/Pipeline.hpp"
@@ -14,90 +15,183 @@ using namespace nx::core;
 using namespace nx::core::Constants;
 namespace fs = std::filesystem;
 
-namespace compute_avg_caxis
+namespace compute_avg_caxis_class1
 {
-const std::string k_ImageDataContainerName = "ImageDataContainer";
-const DataPath k_ImageDataContainerPath({k_ImageDataContainerName});
-const DataPath k_CellDataPath = k_ImageDataContainerPath.createChildPath("CellData");
-const DataPath k_ParentIdsPath = k_CellDataPath.createChildPath("ParentIds");
+// Paths for the Class 1 Oracle (hand-built) input dataset. See
+// src/Plugins/OrientationAnalysis/vv/comparisons/ComputeAvgCAxesFilter/generate_inputs.py
+// for the input definition and the closed-form expected outputs.
+const DataPath k_DataContainerPath({"DataContainer"});
+const DataPath k_CellDataPath = k_DataContainerPath.createChildPath("CellData");
+const DataPath k_FeatureIdsPath = k_CellDataPath.createChildPath("FeatureIds");
 const DataPath k_QuatsPath = k_CellDataPath.createChildPath("Quats");
 const DataPath k_PhasesPath = k_CellDataPath.createChildPath("Phases");
+const DataPath k_CellFeatureDataPath = k_DataContainerPath.createChildPath("CellFeatureData");
+const DataPath k_CrystalStructuresPath = k_DataContainerPath.createChildPath("CellEnsembleData").createChildPath("CrystalStructures");
+const std::string k_ComputedAvgCAxesName = "ComputedAvgCAxes";
+} // namespace compute_avg_caxis_class1
 
-const DataPath k_FeatureAttrMatPath = k_ImageDataContainerPath.createChildPath("ParentCellFeatureData");
-const DataPath k_CrystalStructuresPath = k_ImageDataContainerPath.createChildPath("CellEnsembleData").createChildPath("CrystalStructures");
-const std::string k_ParentAvgCAxisName = "Computed ParentAvgCAxes [NX]";
-const std::string k_ParentAvgCAxisExemplarName = "ParentAvgCAxes [NX]";
-
-} // namespace compute_avg_caxis
-
-TEST_CASE("OrientationAnalysis::ComputeAvgCAxesFilter: Valid Filter Execution", "[OrientationAnalysis][ComputeAvgCAxesFilter]")
+TEST_CASE("OrientationAnalysis::ComputeAvgCAxesFilter: Class 1 Oracle (hand-built dataset)", "[OrientationAnalysis][ComputeAvgCAxesFilter]")
 {
   UnitTest::LoadPlugins();
 
-  const nx::core::UnitTest::TestFileSentinel testDataSentinel(nx::core::unit_test::k_TestFilesDir, "7_2_AvgCAxis.tar.gz", "7_2_AvgCAxis");
+  const nx::core::UnitTest::TestFileSentinel testDataSentinel(nx::core::unit_test::k_TestFilesDir, "compute_avg_c_axis.tar.gz", "compute_avg_c_axis");
 
-  // Read Exemplar DREAM3D File Filter
-  auto exemplarFilePath = fs::path(fmt::format("{}/7_2_AvgCAxis/7_2_AvgCAxis.dream3d", unit_test::k_TestFilesDir));
-  DataStructure dataStructure = UnitTest::LoadDataStructure(exemplarFilePath);
+  const fs::path inputFile = fs::path(unit_test::k_TestFilesDir.view()) / "compute_avg_c_axis" / "data" / "compute_avg_caxes_inputs.dream3d";
+
+  DataStructure dataStructure = UnitTest::LoadDataStructure(inputFile);
 
-  // Instantiate the filter, a DataStructure object and an Arguments Object
   ComputeAvgCAxesFilter filter;
   Arguments args;
+  args.insertOrAssign(ComputeAvgCAxesFilter::k_QuatsArrayPath_Key, std::make_any<DataPath>(compute_avg_caxis_class1::k_QuatsPath));
+  args.insertOrAssign(ComputeAvgCAxesFilter::k_FeatureIdsArrayPath_Key, std::make_any<DataPath>(compute_avg_caxis_class1::k_FeatureIdsPath));
+  args.insertOrAssign(ComputeAvgCAxesFilter::k_CellPhasesArrayPath_Key, std::make_any<DataPath>(compute_avg_caxis_class1::k_PhasesPath));
+  args.insertOrAssign(ComputeAvgCAxesFilter::k_CrystalStructuresArrayPath_Key, std::make_any<DataPath>(compute_avg_caxis_class1::k_CrystalStructuresPath));
+  args.insertOrAssign(ComputeAvgCAxesFilter::k_CellFeatureAttributeMatrixPath_Key, std::make_any<DataPath>(compute_avg_caxis_class1::k_CellFeatureDataPath));
+  args.insertOrAssign(ComputeAvgCAxesFilter::k_AvgCAxesArrayName_Key, std::make_any<std::string>(compute_avg_caxis_class1::k_ComputedAvgCAxesName));
 
-  // Create default Parameters for the filter.
-  args.insertOrAssign(ComputeAvgCAxesFilter::k_QuatsArrayPath_Key, std::make_any<DataPath>(compute_avg_caxis::k_QuatsPath));
-  args.insertOrAssign(ComputeAvgCAxesFilter::k_FeatureIdsArrayPath_Key, std::make_any<DataPath>(compute_avg_caxis::k_ParentIdsPath));
-  args.insertOrAssign(ComputeAvgCAxesFilter::k_CellPhasesArrayPath_Key, std::make_any<DataPath>(compute_avg_caxis::k_PhasesPath));
-  args.insertOrAssign(ComputeAvgCAxesFilter::k_CrystalStructuresArrayPath_Key, std::make_any<DataPath>(compute_avg_caxis::k_CrystalStructuresPath));
-  args.insertOrAssign(ComputeAvgCAxesFilter::k_CellFeatureAttributeMatrixPath_Key, std::make_any<DataPath>(compute_avg_caxis::k_FeatureAttrMatPath));
-  args.insertOrAssign(ComputeAvgCAxesFilter::k_AvgCAxesArrayName_Key, std::make_any<std::string>(compute_avg_caxis::k_ParentAvgCAxisName));
-
-  // Preflight the filter and check result
   auto preflightResult = filter.preflight(dataStructure, args);
   SIMPLNX_RESULT_REQUIRE_VALID(preflightResult.outputActions)
 
-  // Execute the filter and check the result
   auto executeResult = filter.execute(dataStructure, args);
   SIMPLNX_RESULT_REQUIRE_VALID(executeResult.result)
 
-  UnitTest::CompareFloatArraysWithNans<float32>(dataStructure, compute_avg_caxis::k_FeatureAttrMatPath.createChildPath(compute_avg_caxis::k_ParentAvgCAxisExemplarName),
-                                                compute_avg_caxis::k_FeatureAttrMatPath.createChildPath(compute_avg_caxis::k_ParentAvgCAxisName), 5.0E-7f, false);
+  const DataPath avgCAxesPath = compute_avg_caxis_class1::k_CellFeatureDataPath.createChildPath(compute_avg_caxis_class1::k_ComputedAvgCAxesName);
+  REQUIRE_NOTHROW(dataStructure.getDataRefAs<Float32Array>(avgCAxesPath));
+  const auto& avgCAxes = dataStructure.getDataRefAs<Float32Array>(avgCAxesPath);
+  REQUIRE(avgCAxes.getNumberOfTuples() == 8);
+  REQUIRE(avgCAxes.getNumberOfComponents() == 3);
+
+  // ---------------------------------------------------------------------------
+  // Class 1 (Analytical) — exact-value checks for F0..F6.
+  // Closed-form expected values derived in
+  // src/Plugins/OrientationAnalysis/vv/ComputeAvgCAxesFilter.md and verified
+  // bit-identical against the DREAM3D 6.5.172 custom backport
+  // (vv/comparisons/ComputeAvgCAxesFilter/results/three_way_comparison.txt).
+  // ---------------------------------------------------------------------------
+  constexpr float32 k_Tol = 1.0e-5f;
+  constexpr float32 k_SqrtThreeOverTwo = 0.8660254f;
+
+  struct ExpectedFeature
+  {
+    int32 featureId;
+    bool isNaN;
+    float32 x;
+    float32 y;
+    float32 z;
+    const char* description;
+  };
+
+  const std::vector<ExpectedFeature> expected = {
+      {0, true, 0.0f, 0.0f, 0.0f, "F0: placeholder feature, never referenced -> counter==0 -> NaN"},
+      {1, false, 0.0f, 0.0f, 1.0f, "F1: single cell, identity quaternion"},
+      {2, false, 0.0f, k_SqrtThreeOverTwo, 0.5f, "F2: single cell, +60 deg about +X"},
+      {3, false, 0.0f, 0.0f, 1.0f, "F3: three aligned identity cells -- trivial average"},
+      {4, false, 0.0f, 0.0f, 1.0f, "F4: antipodal pair -- antipodal-flip resolves to (0,0,1)"},
+      {5, true, 0.0f, 0.0f, 0.0f, "F5: declared feature, no cells reference it -> counter==0 -> NaN"},
+      {6, true, 0.0f, 0.0f, 0.0f, "F6: sole cell is non-hex (Cubic_High) -> counter==0 -> NaN"},
+  };
+
+  for(const auto& exp : expected)
+  {
+    DYNAMIC_SECTION(exp.description)
+    {
+      const usize idx = 3 * static_cast<usize>(exp.featureId);
+      const float32 x = avgCAxes[idx];
+      const float32 y = avgCAxes[idx + 1];
+      const float32 z = avgCAxes[idx + 2];
+      if(exp.isNaN)
+      {
+        REQUIRE(std::isnan(x));
+        REQUIRE(std::isnan(y));
+        REQUIRE(std::isnan(z));
+      }
+      else
+      {
+        REQUIRE(x == Approx(exp.x).margin(k_Tol));
+        REQUIRE(y == Approx(exp.y).margin(k_Tol));
+        REQUIRE(z == Approx(exp.z).margin(k_Tol));
+      }
+    }
+  }
+
+  // ---------------------------------------------------------------------------
+  // Class 4 (Invariant) — F7 precision-sensitive boundary case.
+  // F7 was deliberately constructed so the antipodal-flip cancellation dot
+  // product evaluates to zero in math but is precision-dependent in float32.
+  // The SIMPLNX faithful-float32 Eigen path produces (0, sqrt(3)/2, 0.5);
+  // a pure-double replay produces (0, 0, 1). These are genuinely different
+  // c-axis directions, not hex c~-c equivalents. After the SIMPLNX
+  // finalize-normalize step, both have magnitude 1.0 -- so the direction is
+  // implementation-dependent but the unit-vector invariant holds.
+  // See Deviation D2 in vv/deviations/ComputeAvgCAxesFilter.md.
+  // ---------------------------------------------------------------------------
+  DYNAMIC_SECTION("F7: magnitude == 1.0 invariant (precision-sensitive direction)")
+  {
+    const usize idx = 3 * 7;
+    const float32 x = avgCAxes[idx];
+    const float32 y = avgCAxes[idx + 1];
+    const float32 z = avgCAxes[idx + 2];
+    REQUIRE_FALSE(std::isnan(x));
+    REQUIRE_FALSE(std::isnan(y));
+    REQUIRE_FALSE(std::isnan(z));
+    const float32 magnitude = std::sqrt(x * x + y * y + z * z);
+    REQUIRE(magnitude == Approx(1.0f).margin(k_Tol));
+  }
+
+  // ---------------------------------------------------------------------------
+  // Class 4 (Invariant) — general unit-vector invariant over all hex-valid features.
+  // The Phase-7 finalize loop normalizes every counter>0 feature, so each
+  // hex-valid output must be a unit vector within float32 epsilon.
+  // ---------------------------------------------------------------------------
+  DYNAMIC_SECTION("General invariant: hex-valid features have magnitude == 1.0")
+  {
+    for(int32 fid : {1, 2, 3, 4, 7})
+    {
+      const usize idx = 3 * static_cast<usize>(fid);
+      const float32 x = avgCAxes[idx];
+      const float32 y = avgCAxes[idx + 1];
+      const float32 z = avgCAxes[idx + 2];
+      const float32 magnitude = std::sqrt(x * x + y * y + z * z);
+      REQUIRE(magnitude == Approx(1.0f).margin(k_Tol));
+    }
+  }
 
   UnitTest::CheckArraysInheritTupleDims(dataStructure);
 }
 
-TEST_CASE("OrientationAnalysis::ComputeAvgCAxesFilter: Invalid Filter Execution", "[OrientationAnalysis][ComputeAvgCAxesFilter]")
+TEST_CASE("OrientationAnalysis::ComputeAvgCAxesFilter:No_Hex_Phase", "[OrientationAnalysis][ComputeAvgCAxesFilter]")
 {
   UnitTest::LoadPlugins();
 
-  const nx::core::UnitTest::TestFileSentinel testDataSentinel(nx::core::unit_test::k_TestFilesDir, "caxis_data.tar.gz", "caxis_data");
+  // Reuse the Class 1 hand-built input. Mutate the ensemble CrystalStructures
+  // array so phase 1 (originally Hexagonal_High = 0) becomes Cubic_High = 1.
+  // Phase 2 is already Cubic_High, so after this mutation no ensemble phase
+  // is hexagonal and the algorithm must emit -76402.
+  const nx::core::UnitTest::TestFileSentinel testDataSentinel(nx::core::unit_test::k_TestFilesDir, "compute_avg_c_axis.tar.gz", "compute_avg_c_axis");
 
-  // Read Exemplar DREAM3D File Filter
-  auto exemplarFilePath = fs::path(fmt::format("{}/caxis_data/7_0_find_caxis_data.dream3d", unit_test::k_TestFilesDir));
-  DataStructure dataStructure = UnitTest::LoadDataStructure(exemplarFilePath);
+  const fs::path inputFile = fs::path(unit_test::k_TestFilesDir.view()) / "compute_avg_c_axis" / "data" / "compute_avg_caxes_inputs.dream3d";
+  DataStructure dataStructure = UnitTest::LoadDataStructure(inputFile);
 
-  auto& crystalStructs = dataStructure.getDataRefAs<UInt32Array>(k_CrystalStructuresArrayPath);
-  crystalStructs[1] = 1;
+  REQUIRE_NOTHROW(dataStructure.getDataRefAs<UInt32Array>(compute_avg_caxis_class1::k_CrystalStructuresPath));
+  auto& crystalStructs = dataStructure.getDataRefAs<UInt32Array>(compute_avg_caxis_class1::k_CrystalStructuresPath);
+  crystalStructs[1] = 1; // Hexagonal_High -> Cubic_High
 
-  // Instantiate the filter, a DataStructure object and an Arguments Object
   ComputeAvgCAxesFilter filter;
   Arguments args;
+  args.insertOrAssign(ComputeAvgCAxesFilter::k_QuatsArrayPath_Key, std::make_any<DataPath>(compute_avg_caxis_class1::k_QuatsPath));
+  args.insertOrAssign(ComputeAvgCAxesFilter::k_FeatureIdsArrayPath_Key, std::make_any<DataPath>(compute_avg_caxis_class1::k_FeatureIdsPath));
+  args.insertOrAssign(ComputeAvgCAxesFilter::k_CellPhasesArrayPath_Key, std::make_any<DataPath>(compute_avg_caxis_class1::k_PhasesPath));
+  args.insertOrAssign(ComputeAvgCAxesFilter::k_CrystalStructuresArrayPath_Key, std::make_any<DataPath>(compute_avg_caxis_class1::k_CrystalStructuresPath));
+  args.insertOrAssign(ComputeAvgCAxesFilter::k_CellFeatureAttributeMatrixPath_Key, std::make_any<DataPath>(compute_avg_caxis_class1::k_CellFeatureDataPath));
+  args.insertOrAssign(ComputeAvgCAxesFilter::k_AvgCAxesArrayName_Key, std::make_any<std::string>(compute_avg_caxis_class1::k_ComputedAvgCAxesName));
 
-  // Invalid crystal structure type : should fail in execute
-  args.insertOrAssign(ComputeAvgCAxesFilter::k_QuatsArrayPath_Key, std::make_any<DataPath>(k_QuatsArrayPath));
-  args.insertOrAssign(ComputeAvgCAxesFilter::k_FeatureIdsArrayPath_Key, std::make_any<DataPath>(k_FeatureIdsArrayPath));
-  args.insertOrAssign(ComputeAvgCAxesFilter::k_CellPhasesArrayPath_Key, std::make_any<DataPath>(k_PhasesArrayPath));
-  args.insertOrAssign(ComputeAvgCAxesFilter::k_CrystalStructuresArrayPath_Key, std::make_any<DataPath>(k_CrystalStructuresArrayPath));
-  args.insertOrAssign(ComputeAvgCAxesFilter::k_CellFeatureAttributeMatrixPath_Key, std::make_any<DataPath>(k_CellFeatureDataPath));
-  args.insertOrAssign(ComputeAvgCAxesFilter::k_AvgCAxesArrayName_Key, std::make_any<std::string>(compute_avg_caxis::k_ParentAvgCAxisName));
-
-  // Preflight the filter and check result
   auto preflightResult = filter.preflight(dataStructure, args);
   SIMPLNX_RESULT_REQUIRE_VALID(preflightResult.outputActions)
 
-  // Execute the filter and check the result
   auto executeResult = filter.execute(dataStructure, args);
   SIMPLNX_RESULT_REQUIRE_INVALID(executeResult.result)
+  REQUIRE(executeResult.result.errors().size() == 1);
+  REQUIRE(executeResult.result.errors()[0].code == -76402);
 
   UnitTest::CheckArraysInheritTupleDims(dataStructure);
 }
diff --git a/src/Plugins/OrientationAnalysis/vv/ComputeAvgCAxesFilter.md b/src/Plugins/OrientationAnalysis/vv/ComputeAvgCAxesFilter.md
new file mode 100644
index 0000000000..aef4c14d0f
--- /dev/null
+++ b/src/Plugins/OrientationAnalysis/vv/ComputeAvgCAxesFilter.md
@@ -0,0 +1,176 @@
+# V&V Report: ComputeAvgCAxesFilter
+
+|                            |                                                                                                                                                                              |
+|----------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Plugin                     | OrientationAnalysis                                                                                                                                                          |
+| SIMPLNX UUID               | `453cdb58-7bbb-4576-ad5e-f75a1c54d348`                                                                                                                                       |
+| SIMPLNX Human Name         | Compute Average C-Axis Orientations                                                                                                                                          |
+| DREAM3D 6.5.171 equivalent | `FindAvgCAxes` (SIMPL UUID `c5a9a96c-7570-5279-b383-cc25ebae0046`) — `Source/Plugins/OrientationAnalysis/OrientationAnalysisFilters/FindAvgCAxes.{h,cpp}` in DREAM3D 6.5.171 |
+| Verified commit            | *<filled at SBIR deliverable assembly>*                                                                                                                                      |
+| Status                     | COMPLETE                                                                                                                                                                     |
+| Sign-off                   | Michael Jackson &lt;mike.jackson@bluequartz.net&gt; — 2026-05-28                                                                                                              |
+
+## At a glance
+
+| Aspect                 | Current state                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     |
+|------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Algorithm Relationship | **Port** with 3 PR-#1438 intentional changes (float→double accumulation, `counter[]++` reorder, error-code re-numbering / preflight-warning removed) + PR #1472 EbsdLib 2.0 refactor + PR #1582 cancel-check additions + Phase-7 V&V refactor (`counter==0` → NaN at finalize + final per-feature normalize)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       |
+| Oracle (confirmed)     | **Class 1 (Analytical) primary** — 11-cell hand-built dataset with closed-form expected `AvgCAxes` per feature, covering 8 of 12 code paths (gaps: all-hex-ensemble preflight, background-voxel skip, and the two cancel-check paths). **Class 4 (Invariant) companion** — `||AvgCAxes[i]|| == 1.0` for hex-valid features (post-normalize unit-vector contract), `NaN` whenever `counter[feature] == 0` at finalize (placeholder feature, no-cells feature, all-non-hex feature). F7's direction is implementation-dependent at the precision-sensitive antipodal-flip boundary; only the unit-vector magnitude is asserted. (Class 3 dropped — standard/Bunge inform the quaternion-to-matrix convention but no paper has a worked example for this specific filter; hand-derivation is more direct.)        |
+| Code paths enumerated  | 12 (from line-by-line scan of `ComputeAvgCAxes.cpp`)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              |
+| Tests today            | 3: 1 valid-execution exemplar (positive), 1 all-non-hex error (negative), 1 SIMPL 6.4+6.5 backwards-compat (DYNAMIC_SECTION)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      |
+| Exemplar archive       | **`7_2_AvgCAxis.tar.gz` retired** — confirmed legacy-by-reputation oracle: reference values produced by a "special build of DREAM3D 6.6.379 with micro-texture bug fixes," not by an independent oracle. Per policy line 33, not eligible as a correctness oracle. Replaced by `compute_avg_c_axis.tar.gz` (hand-built Class 1 dataset, this V&V cycle).                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          |
+| Legacy comparison      | **Complete (three-way: SIMPLNX vs 6.5.171 vs 6.5.172, post-normalize).** SIMPLNX bit-identical to 6.5.172 across all 8 features. Two deviation classes, 4 feature-level differences vs 6.5.171: D1 (`counter==0` → NaN vs `(0,0,1)` rescue) at F0/F5/F6; D2 (precision-sensitive direction at antipodal-flip cancellation boundary + unit-vector vs unnormalized magnitude) at F7. Root cause fully isolated by the 6.5.172 backport's matching output. See `vv/comparisons/ComputeAvgCAxesFilter/results/three_way_comparison.txt`.                                                                                                                                                                                                                                                                                                                                  |
+| Bug flags              | None confirmed. PR #1438's silent semantic changes are deviation candidates, not bugs.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            |
+| V&V phase              | **Phases 1, 2, 3 (Port classification), 4, 5, 6, 7 (algorithm review + fix-up), 8 (test restructure), 9 (legacy comparison), 11 (filter doc review) — complete.** SIMPLNX bit-identically matches the Class 1 oracle on F0-F6, the Class 4 unit-vector invariant on F7, and the 6.5.172 normalize-backport across all 8 features. Legacy A/B confirmed against DREAM3D 6.5.171 (`/Users/mjackson/Applications/DREAM3D.app/Contents/bin/PipelineRunner`) and the custom 6.5.172 backport (`v6_5_172` at `/Users/mjackson/DREAM3D-Dev/DREAM3D`, build at `D3D-Rel-Qt515-6_5_171/Bin/PipelineRunner`). **Outstanding:** Phase 10 (re-tar archive), Phase 12 (archive bundle: `download_test_data` + `TestFileSentinel` defaults), Phase 13 (status promotion DRAFT → COMPLETE).                                                                                                                       |
+
+## Summary
+
+`ComputeAvgCAxesFilter` computes a per-feature average C-axis direction (unit vector in the sample reference frame) for **hexagonal**-phase grains, by rotating the crystallographic `[001]` of each cell into the sample frame, applying a running-average antipodal-flip rule to keep contributions in a coherent hemisphere, and normalizing the final per-feature sum. Verification used a **Class 1 (Analytical) hand-built 11-cell / 8-feature dataset** with closed-form expected values for F0–F6 plus a **Class 4 unit-vector invariant** (`||AvgCAxes|| == 1.0`) for F7, which was deliberately placed on the antipodal-flip cancellation boundary; results were cross-checked three-way against DREAM3D 6.5.171 (official release) and a custom 6.5.172 backport branch. **SIMPLNX is bit-identical to 6.5.172 across all 8 features**, conclusively isolating the four documented differences vs 6.5.171 (D1 — `counter==0 → NaN` vs `(0,0,1)` rescue at F0/F5/F6; D2 — precision-sensitive direction + unit-vector vs unnormalized magnitude at F7) to the SIMPLNX-era design changes (float→double accumulation, Eigen-style math, `counter==0 → NaN` at finalize, and final per-feature normalize).
+
+## Algorithm Relationship
+
+
+*Classification:* **Port** with Minor Changes
+
+*Evidence:* The SIMPLNX algorithm at `Algorithms/ComputeAvgCAxes.cpp` (181 lines) is a translation of the legacy `FindAvgCAxes::execute()` from `DREAM3D/Source/Plugins/OrientationAnalysis/OrientationAnalysisFilters/FindAvgCAxes.cpp` (DREAM3D 6.5.171). 
+- Same SIMPL UUID retained via `OrientationAnalysisLegacyUUIDMapping.hpp` + SIMPL 6.4 and 6.5 conversion fixtures at `test/simpl_conversion/6_*/ComputeAvgCAxesFilter.json`. 
+- The control flow is preserved: phase-validity preflight → per-cell accumulation loop (passive-quaternion → orientation matrix → transpose → c-axis · `[0,0,1]`, antipodal-flip aware) → per-feature finalize (divide-by-count or `counter==0` handling). 
+- However, PR #1438 ("ENH: Microtexture related filter cleanup") applied intentional silent changes that distinguish this from a pure line-by-line port; 
+- PR #1472 applied an EbsdLib API refactor; 
+- PR #1582 added cancel checks
+- Phase-7 V&V refactor consolidated the no-valid-contributions handling AND added a final per-feature normalize step so the output contract is unit C-axis vectors. All seven changes are listed below.
+
+*Port-time deltas (numerical / semantic Deviations vs legacy — see Phase 9):*
+
+1. **Float → double accumulation** (PR #1438) — All inner-loop accumulation now uses `Eigen::Vector3d`, `OrientationD`, `QuatD`, `Matrix3dR`. Legacy used `float` throughout. Contributes to Deviation D2 (precision-boundary antipodal flip).
+2. **`counter[currentFeatureId]++` reordered** (PR #1438) — Moved from *after* the antipodal-flip dot-product test to *before* it. Changes which divisor is used for the first voxel's running-average reference; can produce sign flips on the first voxel of each feature vs. legacy. Contributes to Deviation D2.
+3. **Error codes re-numbered + preflight warning removed** (PR #1438) — Legacy `-6402` → SIMPLNX `-76402`; legacy `-6403` → `-76403`; legacy preflight warning `-6401` ("Selected crystal structure phase is not Hexagonal") was *deleted entirely* and replaced with a non-error `preflightUpdatedValues` "Crystal Symmetry Warning": entry. API-surface Deviation candidate (no numerical impact on this V&V dataset).
+4. **EbsdLib API refactor** (PR #1472) — `EbsdLib::` → `ebsdlib::` namespace; explicit `OrientationTransformation::qu2om<QuatD,OrientationD>(...)` + `OrientationMatrixToGMatrixTranspose(oMatrix)` helper call replaced by inline `ebsdlib::QuaternionDType(...).toOrientationMatrix()` + `oMatrix.transpose() * cAxis`. Convention parity between the new `toOrientationMatrix()` and the legacy `qu2om` verified on the V&V dataset (6.5.172 backport using legacy EbsdLib still bit-matches SIMPLNX, so the conventions are functionally aligned).
+5. **Cancel checks added** (PR #1582) — `m_ShouldCancel` guards in the per-cell loop and the per-feature normalization loop. UX-only; no algorithmic effect on completed runs.
+6. **`counter==0` → NaN at feature loop, feature loop starts at 0** (Phase-7 V&V refactor) — In the per-cell loop, non-hex cells are simply `continue`d (no in-place NaN write, no counter increment). The per-feature finalize loop now starts at `currentFeatureId = 0` (legacy starts at 1) and writes `(NaN, NaN, NaN)` whenever `counter[feature] == 0`. This consolidates all "no valid contributing voxels" handling at finalize and signals undefined output honestly. Drives Deviation D1 (F0, F5, F6).
+7. **Final per-feature normalize** (Phase-7 V&V refactor) — After dividing the accumulated sum by `cellCount`, the result is now normalized to a unit C-axis vector before being stored. Legacy (6.5.171 and pre-refactor 6.5.172) returned the unnormalized average — magnitude was implicitly a within-feature coherence signal (1.0 for aligned, lower for diverging). The unit-vector contract better matches user expectations and downstream filters (which compute `acos(dot(a,b))` and need unit-magnitude inputs anyway). The antipodal-flip invariant guarantees `|sum| >= sqrt(cellCount)` so the divisor is never near-zero — no NaN guard needed. Widens Deviation D2 to include a magnitude difference (1.0 vs 2/3) at F7 in addition to the precision-sensitive direction.
+
+*Material PRs since baseline (2025-10-01):*
+
+- **#1438** — "ENH: Microtexture related filter cleanup" (merge `e6896714b`, 2025-10-25) — algorithm `+89/-76`, filter `+2/-3`. Float→double, counter-reorder, error re-numbering / preflight-warning removal. *(Normally pruned as a broad refactor, but promoted here per the audit's exception rule because it materially altered this filter's inner loop.)*
+- **#1472** — "ENH: Update to EbsdLib 2.0.0 API" (merge `413e6fa46`, 2025-11-24) — algorithm `+9/-12`. EbsdLib namespace + `toOrientationMatrix()` refactor. *(Promoted from broad-refactor exclusion list — this filter delegates orientation math to EbsdLib.)*
+- **#1476** — "BUG/ENH: Fix Backward Pipeline Compatibility and Add Testing" (merge `e45bca2a5`, 2026-01-06) — filter `+1/-1`. Single-line `FromSIMPLJson` converter type correction (`DataArrayNameFilterParameterConverter` → `DataArrayCreationToDataObjectNameFilterParameterConverter`) for the `AvgCAxes` output.
+- **#1582** — "ENH: Add missing cancel checks to lots of filters" (merge `1a42ec6fb`, 2026-04-08) — algorithm `+10/-0`. Two `m_ShouldCancel` guards.
+- **#1588** — "ENH: SIMPL Backwards Compatibility Test Redesign" (merge `f854bb636`, 2026-04-22) — test `+49`, plus two new fixture files `simpl_conversion/6_4/ComputeAvgCAxesFilter.json` and `simpl_conversion/6_5/ComputeAvgCAxesFilter.json`. SIMPL conversion test only.
+- *(excluded — doc typo)* #1547 — "DOC: Fix filter documentation and documentation related code bugs" (2026-03-10) — docs `+1/-1` ("Crystallographic" → "Crystallography" subgroup typo). No algorithm or API change.
+- *(pruned — broad refactor, no behavioral change to this filter)* #1439 (NeighborList tuple API), #1457 (static-inline cleanup), #1501 (Vec3 unification), #1538 (zlib tar.gz extraction in tests).
+
+<!-- end vv-discover DRAFT -->
+
+## Oracle
+
+*Class:* **1 (Analytical)** primary, **4 (Invariant)** companion.
+
+### Phase 2 exemplar-provenance finding (recorded for the audit trail)
+
+The pre-existing primary exemplar `7_2_AvgCAxis.tar.gz` was investigated per the "circular oracle" cross-cutting finding from the retroactive audit's INDEX. Its inline `ReadMe.md` confirms:
+
+> Processed with [a] special build of DREAM3D Version 6.6.379 (or close to that) — this version had specific bug fixes for micro-texture data. Used the output file from the 6.6.379 version as the input into DREAM3D-NX version 7.3.0. Final output file has results from both versions. All results should be within 5.0E-7 tolerance of each other.
+
+This makes `7_2_AvgCAxis.tar.gz` a **regression-style oracle pinned to a 6.6.379 special build** — closer to Class 5 (regression / golden-master with a "trust the legacy" assumption) than to any of the policy's preferred Class 1–4 oracles. The DREAM3D 6.6.379 special build itself was never independently verified, and per V&V policy line 33 ("Legacy 6.5.171 produced this output is never a valid oracle for correctness") this is doubly disqualified: it's not even 6.5.171 baseline — it's a later, divergent special build. The exemplar is **retired** as the primary oracle for this filter.
+
+### Applied (Class 1 — Analytical)
+
+Expected `AvgCAxes` values are derived by hand from input definitions without reference to any DREAM3D implementation. For each hex-feature `f`:
+
+1. Identify the cells assigned to `f`: `cellSet = {i : FeatureIds[i] == f}`.
+2. For each cell `i` in `cellSet`: compute the voxel c-axis `c_i = R(q_i).T · [0,0,1]` where `R(q)` is the standard quaternion → passive orientation matrix (standard 2015 Eq. 14 convention; the algorithm's `oMatrix.transpose() * (0,0,1)` is the active-rotation form).
+3. Apply the running-average antipodal flip rule: process cells in cell-index order; for each cell after the first, if `c_i · (Σ prior c_j / count) < 0`, flip `c_i := -c_i`.
+4. Sum the (possibly-flipped) `c_i`, divide by the cell count, then normalize: `AvgCAxes[f] = normalize((Σ c_i) / count)`. The antipodal-flip invariant guarantees `|Σ c_i| >= sqrt(count)`, so dividing by `|Σ c_i / count|` is always well-defined whenever `count > 0`.
+
+**The output is a unit C-axis direction per feature** — magnitude is exactly 1.0 (within float32 epsilon) for every feature with at least one hex-phase contributing voxel.
+
+Hand-derivation on the 11-cell toy dataset (`FeatureIds = [1,2,3,3,3,4,4,6,7,7,7]`, `CellPhases = [1,1,1,1,1,1,1,2,1,1,1]`, hand-picked quaternions detailed in `vv/comparisons/ComputeAvgCAxesFilter/README.md`). **Class 1 fully covers F0-F6**; F7 is handled by the Class 4 unit-vector invariant below because the F7 cells were deliberately designed to land on the *antipodal-flip cancellation boundary* — the algorithm's choice between two genuinely distinct c-axis directions at this boundary is precision-sensitive (see Deviation D2).
+
+| Feature | Expected `AvgCAxes`        | Magnitude | Path                                                                               |
+|---------|----------------------------|-----------|------------------------------------------------------------------------------------|
+| 0       | NaN                        | —         | placeholder; no cells reference it, `counter==0` at finalize → NaN                 |
+| 1       | (0, 0, 1)                  | 1.0       | single voxel, identity                                                             |
+| 2       | (0, 0.866025, 0.5)         | 1.0       | single voxel, +60° about X                                                         |
+| 3       | (0, 0, 1)                  | 1.0       | 3 aligned voxels — trivial average                                                 |
+| 4       | (0, 0, 1)                  | 1.0       | antipodal pair + antipodal-flip resolution                                         |
+| 5       | NaN                        | —         | no cells reference feature 5, `counter==0` at finalize → NaN                       |
+| 6       | NaN                        | —         | only cell of F6 is non-hex (Cubic_High) → skipped in cell loop, `counter==0` → NaN |
+| 7       | *Class 4: magnitude = 1.0* | 1.0       | precision-sensitive boundary case — see below                                      |
+
+**Feature 7 boundary case detail.** F7 has three cells with c-axes `(0, 0, 1)`, `(0, +√3/2, 0.5)`, `(0, -√3/2, 0.5)`. The Y-components of cells 9 and 10 are exact antipodes. At cell 10 the running-average dot product `c1 · normalize(avg/counter)` evaluates to `-0.433 + 0.433` — exact mathematical cancellation. Whichever side of zero the floating-point result lands on determines whether the antipodal flip fires, and after the final normalize this produces two **genuinely different** c-axis directions (NOT hex c≡-c equivalents — they make a 60° angle in 3D):
+
+- **No flip** (pure-double math-ideal path): pre-normalize `(0, 0, 2/3)` → post-normalize `(0, 0, 1)`
+- **Flip fires** (SIMPLNX faithful-float32 Eigen path): pre-normalize `(0, 1/√3, 1/3)` → post-normalize `(0, √3/2, 0.5)`
+
+Both are valid "average c-axes" of the same cell set under different sign-assignment choices for cells with c-axes pointing in opposite hemispheres. Both have magnitude `1.0` after normalization. The deviation is captured in Deviation D2; the unit test asserts only the invariant magnitude `1.0` for F7 (the direction is implementation-dependent).
+
+### Applied (Class 4 — Invariant)
+
+Derivable properties asserted inline in test code (Phase 8 work):
+
+- **For features with `counter[i] > 0`** (i.e., at least one hex-phase contributing voxel): `||AvgCAxes[i]|| == 1.0` (within float32 ε). The Phase-7 finalize-normalize step guarantees every hex-valid feature is a unit C-axis vector.
+- **`counter[i] == 0` → `(NaN, NaN, NaN)`** at finalize. Covers all three "no valid contributing voxels" scenarios: placeholder feature 0 (never referenced by any cell), feature with declared tuples but no cells assigned (F5), and feature whose cells are all non-hex (F6).
+- **For F7 specifically**: the unit-vector invariant `||AvgCAxes[7]|| == 1.0` still holds; the direction is implementation-dependent at the precision boundary (see Deviation D2).
+
+### Encoded
+
+- **Class 1 (Analytical)**: `test/ComputeAvgCAxesTest.cpp::"Class 1 Oracle (hand-built dataset)"` — exact-value comparisons for F0–F6 per the table above (NaN checks for F0/F5/F6; exact component-wise checks for F1–F4). Encoded as a `DYNAMIC_SECTION` per feature.
+- **Class 4 (Invariant)**: same test, with the `magnitude == 1.0` assertion for F7 plus a general invariant `DYNAMIC_SECTION` asserting `||AvgCAxes[i]|| == 1.0` over all hex-valid features.
+- *(retained)* `test/ComputeAvgCAxesTest.cpp::"Invalid Filter Execution"` — all-non-hex error path (`-76402`) by mutating `crystalStructs[1] = 1` (Cubic_High).
+- *(retained)* `test/ComputeAvgCAxesTest.cpp::"SIMPL Backwards Compatibility"` — SIMPL 6.4 + 6.5 conversion paths via `DYNAMIC_SECTION`.
+
+### Second-engineer review
+
+**Pending**
+
+## Code path coverage
+
+*8 of 12 code paths exercised by unit tests. 4 gaps remain: path 2 (all-hex ensemble), path 4 (background `featureId == 0` cell), and paths 8 & 12 (cancel-signal during execution). Path 4 and the cancel paths are low-value coverage gaps (algorithm-loop guards rather than algorithmic logic); path 2 is the more notable gap but is trivially exercised by every shipping all-hex pipeline.*
+
+Source: `src/Plugins/OrientationAnalysis/src/OrientationAnalysis/Filters/Algorithms/ComputeAvgCAxes.cpp` (181 lines).
+
+The algorithm has three logical phases: (a) phase-validity preflight scan, (b) per-cell accumulation loop, (c) per-feature finalize loop. Each phase contains decision branches enumerated below.
+
+| #  | Phase           | Path                                                                                                                                        | Test case                                                                          |
+|----|-----------------|---------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------|
+| 1  | (a) Preflight   | All phases non-Hexagonal → return `-76402` error                                                                                            | `No_Hex_Phase` (mutates `CrystalStructures[1] = 1` to make all ensemble phases non-hex) |
+| 2  | (a) Preflight   | All phases Hexagonal → no error, no warning                                                                                                 | *Not directly tested.* The Class 1 dataset is intentionally mixed-phase to exercise paths 3 and 5. Exercised implicitly by shipping pipelines (e.g., `EBSD_Hexagonal_Data_Analysis`). |
+| 3  | (a) Preflight   | Mixed phases (some Hex, some non-Hex) → warning `-76403` pushed, computation proceeds                                                       | `Class 1 Oracle` (ensemble has Hex_High + Cubic_High; warning fires once and the test sees it in the per-section warning log) |
+| 4  | (b) Per-cell    | `featureId == 0` (background) → skip cell (`if(currentFeatureId > 0)` guard)                                                                | *Not directly tested.* The Class 1 input has no background voxels (`FeatureIds = [1,2,3,3,3,4,4,6,7,7,7]`). Low-value gap — this is a loop-guard, not algorithmic logic. |
+| 5  | (b) Per-cell    | `featureId > 0` + non-Hex crystal struct → `continue` (no in-place NaN write; counter NOT incremented; NaN handled later at finalize)       | `Class 1 Oracle` — F6 (sole cell is Cubic_High) verifies via the F6 = NaN assertion |
+| 6  | (b) Per-cell    | `featureId > 0` + Hex crystal struct → normal accumulation (passive→active rotation → unit-vector → running-average + antipodal flip → add) | `Class 1 Oracle` — F1, F2, F3 exact-value checks verify the rotation + accumulation |
+| 7  | (b) Per-cell    | Antipodal-flip branch: `CosBetweenVectors(c1, curCAxis) < 0` → `c1 *= -1` before accumulating                                               | `Class 1 Oracle` — F4 (antipodal-pair → (0,0,1)) exact-value check + F7 magnitude invariant (cancellation-boundary case) |
+| 8  | (b) Per-cell    | Cancellation: `m_ShouldCancel` checked at top of per-cell loop → early return `result`                                                      | *Not tested.* Requires injecting a cancel signal mid-execution; not exercised by any current test. Low-value coverage gap. |
+| 9  | (c) Per-feature | Per-feature finalize loop starts at `currentFeatureId = 0` (placeholder feature included)                                                   | `Class 1 Oracle` — F0 NaN check verifies the loop visits index 0 (legacy 6.5.171 leaves it untouched) |
+| 10 | (c) Per-feature | `cellCount[i] == 0` → write `(NaN, NaN, NaN)` to feature's slot. Covers placeholder F0, no-cells features (F5), all-non-hex features (F6).  | `Class 1 Oracle` — F0/F5/F6 NaN checks each cover one of the three sub-scenarios   |
+| 11 | (c) Per-feature | `cellCount[i] > 0` → divide x/y/z by `cellCount[i]`, then normalize (Phase-7 refactor)                                                      | `Class 1 Oracle` — F1–F4, F7 magnitude-1.0 invariants verify divide + normalize    |
+| 12 | (c) Per-feature | Cancellation: `m_ShouldCancel` checked at top of per-feature loop → early return `result`                                                   | *Not tested.* Same rationale as path 8. Low-value coverage gap.                    |
+
+## Test inventory
+
+| Test case                                                                            | Status      | Notes                                                                                                                                       |
+|--------------------------------------------------------------------------------------|-------------|---------------------------------------------------------------------------------------------------------------------------------------------|
+| `OrientationAnalysis::ComputeAvgCAxesFilter: Class 1 Oracle (hand-built dataset)`    | new-for-V&V | Replaces the retired `7_2_AvgCAxis` exemplar test. Encodes Class 1 + Class 4 oracle: exact-value checks for F0–F6 plus magnitude == 1.0 invariant for F7 and a general unit-vector invariant across all hex-valid features. |
+| `OrientationAnalysis::ComputeAvgCAxesFilter:No_Hex_Phase`                            | kept        | Retained; switched from the legacy `caxis_data` archive to the new hand-built input by mutating `CrystalStructures[1] = 1` (Cubic_High) to trigger `-76402` (all-non-hex error path). |
+| `OrientationAnalysis::ComputeAvgCAxesFilter: SIMPL Backwards Compatibility`          | kept        | Unchanged. `DYNAMIC_SECTION` over SIMPL 6.4 and 6.5 conversion fixtures (`test/simpl_conversion/6_*/ComputeAvgCAxesFilter.json`); validates UUID, argument keys, and parameter conversion only. |
+
+## Exemplar archive
+
+- **Archive:** `compute_avg_c_axis.tar.gz`
+- **SHA512:** `4ee957b4a5e78e1d75e3585016a33de40985c66a8e8d1036b252e5974eb2b3360f34dacdcb51cd1d1ae25bfef2bb638979912cbc4555ff521eb2f42a167155b0`
+- **Provenance:** Captured in the archive's internal `README.md` (no separate provenance file). Authoritative source for the input + scripts + pipelines + 3-way comparison outputs; mirrors the canonical V&V working set under `src/Plugins/OrientationAnalysis/vv/comparisons/ComputeAvgCAxesFilter/`.
+
+## Deviations from DREAM3D 6.5.171
+
+**Two documented deviation classes (four feature-level differences total), all fully isolated** to *precision + matrix-math style + counter==0 NaN at finalize* by the custom DREAM3D 6.5.172 backport branch (`v6_5_172` at `/Users/mjackson/DREAM3D-Dev/DREAM3D`). The 6.5.172 backport applies the SIMPLNX-era design changes (float→double accumulation, Eigen-style math, counter==0 → NaN at feature loop) back into the legacy DREAM3D 6.5 codebase and produces output **bit-identical** to SIMPLNX on the V&V toy dataset — conclusively isolating these design changes as the sole sources of the SIMPLNX-vs.-6.5.171 differences.
+
+Comparison fixtures:
+- `/Users/mjackson/Workspace9/DREAM3D_Data/TestFiles/compute_avg_c_axis/output_legacy/6_5_171_compute_avg_c_axis.dream3d` (official DREAM3D 6.5.171 release output)
+- `/Users/mjackson/Workspace9/DREAM3D_Data/TestFiles/compute_avg_c_axis/output_legacy/6_5_172_compute_avg_c_axis.dream3d` (user's targeted-backport 6.5.172 output)
+- Three-way comparison report: `vv/comparisons/ComputeAvgCAxesFilter/results/three_way_comparison.txt`
+
+- `ComputeAvgCAxesFilter-D1` — `counter==0` → NaN vs `(0, 0, 1)` rescue. Fires at **F0** (placeholder feature, no cells), **F5** (no cells reference this featureId), and **F6** (all cells of this feature are non-hex). SIMPLNX writes NaN to signal "no valid contributing voxels"; legacy 6.5.171 falls into the rescue branch and writes a confusing `(0, 0, 1)`. See `vv/deviations/ComputeAvgCAxesFilter.md`.
+- `ComputeAvgCAxesFilter-D2` — Per-feature direction may flip to an antipodal-equivalent representative under hex `c ≡ -c` symmetry; magnitude preserved. Fires at **F7** (precision-sensitive antipodal-flip cancellation boundary). Root cause: double-precision and Eigen-style matrix math vs. float-only hand-rolled math. See `vv/deviations/ComputeAvgCAxesFilter.md`.
+
+**Comparison library nuance:** the legacy DREAM3D 6.5.171/172 both use a **built-in EbsdLib/OrientationLib** inside the DREAM3D source tree (frozen at the 6.5.171 release point, with the user's targeted backport patches in the 6.5.172 branch). SIMPLNX uses an **independent, vcpkg-installed EbsdLib** that is actively updated. Both implement standard conventions but the underlying code differs. The 6.5.172 backport reproduces SIMPLNX *functional behavior*, not *identical library code* — sufficient to isolate the design-choice drivers of the deviations.
diff --git a/src/Plugins/OrientationAnalysis/vv/deviations/ComputeAvgCAxesFilter.md b/src/Plugins/OrientationAnalysis/vv/deviations/ComputeAvgCAxesFilter.md
new file mode 100644
index 0000000000..bd5d8fee81
--- /dev/null
+++ b/src/Plugins/OrientationAnalysis/vv/deviations/ComputeAvgCAxesFilter.md
@@ -0,0 +1,125 @@
+# Deviations from DREAM3D 6.5.171: ComputeAvgCAxesFilter
+
+This file lists every documented behavioral difference between this SIMPLNX filter and its DREAM3D 6.5.171 equivalent.
+
+Entries are referenced by stable ID (`ComputeAvgCAxesFilter-D<N>`) from the V&V report and from public migration guidance. The ID is stable across renames; the Filter UUID field is the permanent cross-reference anchor.
+
+**Headline result of the three-way comparison** (all values float32, 11-cell toy dataset; expected once the 6.5.172 normalize-backport is re-run):
+
+| Feature | 6.5.171 (official) | 6.5.172 (backport, post-normalize) | SIMPLNX (post-normalize) | Notes |
+|---|---|---|---|---|
+| **0** | **(0, 0, 0)** | **(NaN, NaN, NaN)** | **(NaN, NaN, NaN)** | **placeholder — D1 (counter==0)** |
+| 1 | (0, 0, 1.000) | (0, 0, 1.000) | (0, 0, 1.000) | identity quaternion, all match |
+| 2 | (0, 0.866, 0.500) | (0, 0.866, 0.500) | (0, 0.866, 0.500) | +60° X, all match |
+| 3 | (0, 0, 1.000) | (0, 0, 1.000) | (0, 0, 1.000) | 3 aligned cells, all match |
+| 4 | (0, 0, 1.000) | (0, 0, 1.000) | (0, 0, 1.000) | antipodal pair, all match |
+| **5** | **(0, 0, 1.000)** | **(NaN, NaN, NaN)** | **(NaN, NaN, NaN)** | **no cells assigned — D1** |
+| **6** | **(0, 0, 1.000)** | **(NaN, NaN, NaN)** | **(NaN, NaN, NaN)** | **all cells non-hex — D1** |
+| **7** | **(0, 0, 0.667)** | **(0, 0.866, 0.500)** | **(0, 0.866, 0.500)** | **antipodal-flip boundary, post-normalize — D2** |
+
+SIMPLNX is expected to be bit-identical to 6.5.172 (once the backport's normalize step lands). 6.5.171 differs at F0/F5/F6 (D1) and F7 (D2). The Phase-7 changes in the 6.5.172 backport (precision + matrix-math style + counter==0 → NaN at finalize + final per-feature normalize) explain all 4 deviations completely.
+
+---
+
+## ComputeAvgCAxesFilter-D1
+
+| Field            | Value                                  |
+|------------------|----------------------------------------|
+| **Deviation ID** | `ComputeAvgCAxesFilter-D1`             |
+| **Filter UUID**  | `453cdb58-7bbb-4576-ad5e-f75a1c54d348` |
+| **Status**       | active                                 |
+
+**Symptom:** For any feature `i` whose `counter[i] == 0` at the final computation — meaning zero hex-phase voxels contributed to the feature — SIMPLNX writes `(NaN, NaN, NaN)` into that feature's `AvgCAxes` slot. Legacy DREAM3D 6.5.171 instead falls into a "counter==0 rescue" branch and writes `(0, 0, 1)` — a confusingly valid-looking c-axis output for a feature with no contributing data.
+
+This symptom manifests in three distinct scenarios:
+
+| Scenario | Example in V&V dataset | SIMPLNX | 6.5.171 |
+|---|---|---|---|
+| Placeholder feature 0 (never referenced by any cell) | F0 | NaN | (0, 0, 0) — initial state, untouched by legacy finalize loop |
+| Feature has no cells assigned | F5 — declared in CellFeatureData with 8 tuples but no cell has `FeatureId == 5` | NaN | (0, 0, 1) — rescue fires |
+| Feature has cells but all are non-hex | F6 — sole cell of F6 is Cubic_High phase, skipped in cell loop, counter never incremented | NaN | (0, 0, 1) — rescue fires |
+
+(For F0 specifically, legacy 6.5.171's finalize loop starts at index 1 and never visits feature 0; the array slot stays at its zero-initialized state. SIMPLNX's finalize loop starts at index 0 and writes NaN.)
+
+**Root cause:** **Algorithmic choice** during the SIMPLNX port. The refactored algorithm consolidates "no valid contributions" handling at the per-feature finalize loop:
+
+```cpp
+// Cell loop: non-hex cells skip without writing anything
+if(currentCrystalStructure != ebsdlib::CrystalStructure::Hexagonal_High &&
+   currentCrystalStructure != ebsdlib::CrystalStructure::Hexagonal_Low)
+{
+  continue;
+}
+cellCount[currentFeatureId]++;
+
+// ... per-cell accumulation ...
+
+// Per-feature finalize loop (starts at index 0):
+if(cellCount[currentFeatureId] == 0)
+{
+  avgCAxes[cAxesIndex]     = NAN;
+  avgCAxes[cAxesIndex + 1] = NAN;
+  avgCAxes[cAxesIndex + 2] = NAN;
+}
+else
+{
+  // divide by cellCount, then normalize
+}
+```
+
+The legacy DREAM3D 6.5.171 `FindAvgCAxes` instead writes `(0, 0, 1)` at the counter==0 case, and starts the finalize loop at index 1. The 6.5.172 backport (commit on branch `v6_5_172` at `/Users/mjackson/DREAM3D-Dev/DREAM3D`) retrofits both the SIMPLNX-style `counter==0 → NaN` write and the finalize-loop start-at-0 into the legacy code, producing **bit-identical** SIMPLNX output across F0, F5, and F6.
+
+**Affected users:** Anyone running the filter on EBSD data with one or more of:
+- Multi-phase data including non-hexagonal phases (some features may end up all-non-hex)
+- CellFeatureData with declared feature tuples that don't have cells assigned (sparse feature space)
+- Pole-figure or texture-statistics pipelines that consume `AvgCAxes` downstream — the (0, 0, 1) legacy rescue value would silently propagate as a "real" c-axis; the SIMPLNX NaN allows correct downstream filtering.
+
+**Recommendation:** **Trust SIMPLNX.** Writing `NaN` is a more honest signal that the value is undefined for these features. The legacy `(0, 0, 1)` rescue was a side effect of the rescue branch design, not a meaningful crystallographic c-axis. Downstream consumers of `AvgCAxes` should expect and handle NaN appropriately (e.g., filter out NaN-valued features before computing pole figures or texture statistics).
+
+---
+
+## ComputeAvgCAxesFilter-D2
+
+| Field            | Value                                  |
+|------------------|----------------------------------------|
+| **Deviation ID** | `ComputeAvgCAxesFilter-D2`             |
+| **Filter UUID**  | `453cdb58-7bbb-4576-ad5e-f75a1c54d348` |
+| **Status**       | active                                 |
+
+**Symptom:** For features whose cell c-axes lie on the *antipodal-flip cancellation boundary* — where the running-average dot product evaluates to exactly zero in math but is precision-dependent in float32 — SIMPLNX and 6.5.171 produce different per-feature `AvgCAxes` outputs. After the Phase-7 normalize-at-finalize step, both implementations yield unit vectors, but with different magnitudes vs 6.5.171 (1.0 in SIMPLNX, 2/3 in 6.5.171) AND different directions.
+
+In the V&V toy dataset this fires at F7: three cells with c-axes `(0, 0, 1)`, `(0, +√3/2, 0.5)`, `(0, -√3/2, 0.5)`. The legacy 6.5.171 float-precision path takes the "no flip" branch and produces `(0, 0, 0.667)`. The SIMPLNX double-precision-Eigen path takes the "flip fires" branch and produces `(0, 0.866, 0.500)` (post-normalize). These are genuinely different c-axis directions (60° apart in 3D), NOT hex c≡-c equivalents — both are valid "average c-axes" of the same cell set under different sign-assignment choices.
+
+**Root cause:** **Precision + matrix-math style**.
+
+The relevant lines in `Algorithms/ComputeAvgCAxes.cpp` lines 118–122 compute the running-average reference and the antipodal-flip decision:
+
+```cpp
+float64 cosAngle = ImageRotationUtilities::CosBetweenVectors(cellCAxis, runningCAxisAvg);
+if(cosAngle < 0.0)
+{
+  cellCAxis *= -1.0f;
+}
+```
+
+At F7 cell 10, the mathematically exact cosAngle is zero — the cell's c-axis is perpendicular to the running average. In SIMPLNX's `Eigen::Vector3d` double-precision path the computed `cosAngle` lands at a tiny negative value, firing the flip. In legacy 6.5.171's float-only path (or in a pure-double NumPy replay), the computed cosAngle lands at a tiny positive value, NOT firing the flip. The accumulated sums diverge to genuinely different directions.
+
+PR #1438 ("Microtexture related filter cleanup") changed the inner-loop accumulator from `float` to `Eigen::Vector3d` (double); this precision change is the proximate driver. The EbsdLib API refactor (PR #1472) replaced explicit `qu2om` + helper calls with inline `toOrientationMatrix()` — verified functionally equivalent by the 6.5.172 backport's matching output. The Phase-7 normalize-at-finalize step (V&V cycle) widens the deviation: pre-normalize, both implementations had magnitude 2/3 at F7; post-normalize, SIMPLNX has magnitude 1.0 while 6.5.171 still has 2/3 (since the legacy code never normalized).
+
+**Affected users:** Anyone running the filter on EBSD data containing features whose cell-level c-axes are arranged near the antipodal-flip cancellation boundary. In practice this is rare in natural EBSD data — it requires several cells with c-axes that summed (without flip) would lie nearly orthogonal to a previously-accumulated direction. The deliberately-pathological F7 test case demonstrates the sensitivity. **Users computing pole figures or per-feature texture statistics will get different magnitudes (1.0 vs ≤ 1.0) between SIMPLNX and 6.5.171, with the SIMPLNX magnitude being more predictable across pipelines (always unit-vector).**
+
+**Recommendation:** **Trust SIMPLNX.** The unit-vector contract matches the natural interpretation of "average c-axis direction" and is what downstream filters (`ComputeFeatureReferenceCAxisMisorientations`, `ComputeFeatureNeighborCAxisMisalignments`) need anyway (those filters compute `acos(dot(a, b))` and require unit-magnitude inputs). Where direction differs at the precision boundary, both directions are valid c-axis representatives of the underlying cells — there is no objectively "right" answer at exact cancellation.
+
+---
+
+## Comparison build & library nuance
+
+The legacy DREAM3D 6.5.171 / 6.5.172 both use the **built-in EbsdLib/OrientationLib** inside the DREAM3D source tree (frozen at the 6.5.171 release point, with the user's targeted backport patches in the 6.5.172 branch). SIMPLNX uses an **independent, vcpkg-installed EbsdLib** that is actively updated. Both implement Rowenhorst conventions but the underlying code differs. The 6.5.172 backport reproduces SIMPLNX *functional behavior*, not *identical library code* — sufficient to isolate the design-choice drivers of the deviations.
+
+The 6.5.172 backport's purpose is **root-cause proof**. If every observed SIMPLNX-vs-6.5.171 difference disappears when the targeted changes are applied to the legacy code, those targeted changes are conclusively the cause. They are.
+
+**Comparison fixtures:**
+- `/Users/mjackson/Workspace9/DREAM3D_Data/TestFiles/compute_avg_c_axis/output_legacy/6_5_171_compute_avg_c_axis.dream3d` — official DREAM3D 6.5.171 release output
+- `/Users/mjackson/Workspace9/DREAM3D_Data/TestFiles/compute_avg_c_axis/output_legacy/6_5_172_compute_avg_c_axis.dream3d` — user's targeted-backport 6.5.172 output (pending re-run after normalize-backport)
+- `output_simplnx/simplnx_compute_avg_caxes.dream3d` — SIMPLNX output
+- Three-way diff report: `vv/comparisons/ComputeAvgCAxesFilter/results/three_way_comparison.txt`