diff --git a/Framework/Algorithms/src/StripPeaks.cpp b/Framework/Algorithms/src/StripPeaks.cpp
index 7b320428b8987b745228b80c871d3317235ad7d7..a5712282c34d3136d9421bc32d092becf699cc98 100644
--- a/Framework/Algorithms/src/StripPeaks.cpp
+++ b/Framework/Algorithms/src/StripPeaks.cpp
@@ -189,7 +189,7 @@ StripPeaks::removePeaks(API::MatrixWorkspace_const_sptr input,
     // Get back the gaussian parameters
     const double height = peakslist->getRef<double>("Height", i);
     const double centre = peakslist->getRef<double>("PeakCentre", i);
-    const double width = peakslist->getRef<double>("Sigma", i);
+    const double sigma = peakslist->getRef<double>("Sigma", i);
     const double chisq = peakslist->getRef<double>("chi2", i);
     // These are some heuristic rules to discard bad fits.
     // Hope to be able to remove them when we have better fitting routine
@@ -210,18 +210,25 @@ StripPeaks::removePeaks(API::MatrixWorkspace_const_sptr input,
     } else if (chisq < 0.) {
       g_log.warning() << "StripPeaks():  Peak Index = " << i
                       << " @ X = " << centre
-                      << ". Error: Peak fit with too wide peak width" << width
+                      << ". Error: Peak fit with too wide peak width" << sigma
                       << " denoted by chi^2 = " << chisq << " <= 0. \n";
     }
     {
-      auto left = lower_bound(X.begin(), X.end(), centre);
-      double delta_d = (*left) - (*(left - 1));
-      if ((width / delta_d) < 1.) {
+      // find the bin width at the center of the peak - average of the bins on
+      // either side
+      const auto center_iter = lower_bound(X.begin(), X.end(), centre);
+      const double bin_width = .5 * (*(center_iter + 1) - (*(center_iter - 1)));
+
+      // seek wikipedia if you don't believe the conversion factor
+      const double fwhm = sigma * 2. * std::sqrt(2. * std::log(2.));
+
+      if ((fwhm / bin_width) < 1.5) {
         g_log.warning() << "StripPeaks():  Peak Index = " << i
                         << " @ X = " << centre
-                        << "  Error: Peak fit with too narrow of peak "
-                        << "delta_d = " << delta_d
-                        << " sigma/delta_d = " << (width / delta_d) << "\n";
+                        << "  Error: Peak fit with too narrow of peak"
+                        << " fwhm = " << fwhm << " bin size = " << bin_width
+                        << " num bins in peak = " << 2. * (fwhm / bin_width)
+                        << " <3\n";
         continue;
       }
     }
@@ -229,7 +236,7 @@ StripPeaks::removePeaks(API::MatrixWorkspace_const_sptr input,
     g_log.information() << "Subtracting peak " << i << " from spectrum "
                         << peakslist->getRef<int>("spectrum", i)
                         << " at x = " << centre << " h = " << height
-                        << " s = " << width << " chi2 = " << chisq << "\n";
+                        << " s = " << sigma << " chi2 = " << chisq << "\n";
 
     { // log the background function
       double a0 = 0.;
@@ -255,12 +262,12 @@ StripPeaks::removePeaks(API::MatrixWorkspace_const_sptr input,
     for (int j = 0; j < spectrumLength; ++j) {
       double x = binCenters[j];
       // Skip if not anywhere near this peak
-      if (x < centre - 5.0 * width)
+      if (x < centre - 5.0 * sigma)
         continue;
-      if (x > centre + 5.0 * width)
+      if (x > centre + 5.0 * sigma)
         break;
       // Calculate the value of the Gaussian function at this point
-      const double funcVal = height * exp(-0.5 * pow((x - centre) / width, 2));
+      const double funcVal = height * exp(-0.5 * pow((x - centre) / sigma, 2));
       // Subtract the calculated value from the data
       Y[j] -= funcVal;
     }
diff --git a/Framework/Algorithms/test/StripVanadiumPeaks2Test.h b/Framework/Algorithms/test/StripVanadiumPeaks2Test.h
index b4524efc59e0a03b2671aabf56e307952a22cfde..c514793c337d51af72fc43587150bef69ecbfda9 100644
--- a/Framework/Algorithms/test/StripVanadiumPeaks2Test.h
+++ b/Framework/Algorithms/test/StripVanadiumPeaks2Test.h
@@ -5,11 +5,14 @@
 #include "MantidTestHelpers/WorkspaceCreationHelper.h"
 #include "MantidAlgorithms/StripVanadiumPeaks2.h"
 #include "MantidAPI/AnalysisDataService.h"
+#include "MantidAPI/Axis.h"
 #include "MantidAPI/FrameworkManager.h"
 #include "MantidKernel/UnitFactory.h"
 #include "MantidKernel/VectorHelper.h"
+#include "MantidDataObjects/WorkspaceCreation.h"
 
 using namespace Mantid::API;
+using namespace Mantid::HistogramData;
 using namespace Mantid::Kernel::VectorHelper;
 using Mantid::Algorithms::StripVanadiumPeaks2;
 using Mantid::MantidVec;
@@ -70,7 +73,598 @@ public:
     AnalysisDataService::Instance().remove(inputWSName);
   }
 
+  double getYValueAtX(const Histogram &histogram, const double x_value) {
+    const auto &vector_x = histogram.points();
+    const auto pos =
+        std::lower_bound(vector_x.begin(), vector_x.end(), x_value);
+    if (pos == vector_x.end())
+      throw std::runtime_error("shit went wrong");
+    const auto index = (pos - vector_x.begin());
+    return histogram.y()[index];
+  }
+
+  void testSharpPeaks() {
+    auto PG3_40507 = createPG3_40507();
+
+    // known positions and expected values
+    std::vector<double> peakX{ 1.2356, 1.5133,
+                               2.1401 }; // peak positions in d-spacing
+    std::vector<double> peakY{ 28.5, 37.8, 12.3 }; // low precision results of
+                                                   // stripped peaks
+
+    std::string outputWSName("PG3_40507_stripped");
+    StripVanadiumPeaks2 strip;
+    if (!strip.isInitialized())
+      strip.initialize();
+    strip.setProperty("InputWorkspace", PG3_40507);
+    strip.setPropertyValue("OutputWorkspace", outputWSName);
+    strip.setPropertyValue("BackgroundType", "Quadratic");
+    strip.setProperty("PeakPositionTolerance", 0.05);
+    strip.execute();
+    TS_ASSERT(strip.isExecuted());
+
+    MatrixWorkspace_const_sptr result =
+        AnalysisDataService::Instance().retrieveWS<MatrixWorkspace>(
+            outputWSName);
+    for (size_t i = 0; i < peakX.size(); ++i) {
+      const double newY = getYValueAtX(result->histogram(0), peakX[i]);
+      TS_ASSERT_DELTA(newY, peakY[i], .1);
+    }
+
+    AnalysisDataService::Instance().remove(outputWSName);
+  }
+
 private:
+  /**
+   * create a histogram with data hard-coded using data generated with the
+   * following python script
+   *
+   * LoadEventAndCompress(Filename='/SNS/PG3/IPTS-2767/nexus/PG3_40507.nxs.h5',
+   *  OutputWorkspace='PG3_40507', MaxChunkSize=0, FilterBadPulses=10)
+   * NormaliseByCurrent(InputWorkspace='PG3_40507', OutputWorkspace='PG3_40507',
+   *RecalculatePCharge=True)
+   * PDLoadCharacterizations(Filename='/SNS/PG3/shared/CALIBRATION/2018_2_11A_CAL/PG3_char_2018_06_11-HighRes-PAC.txt,/SNS/PG3/shared/CALIBRATION/2018_2_11A_CAL/PG3_char_2018_05_26.txt',
+   *  OutputWorkspace='characterizations', SpectrumIDs='1', L2='3.18',
+   *Polar='90', Azimuthal='0')
+   * PDDetermineCharacterizations(InputWorkspace='PG3_40507',
+   *Characterizations='characterizations',
+   *  ReductionProperties='__snspowderreduction')
+   * LoadEventAndCompress(Filename='/SNS/PG3/IPTS-2767/nexus/PG3_40503.nxs.h5',
+   *  OutputWorkspace='PG3_40503_loadsum', MaxChunkSize=0, FilterBadPulses=10)
+   * NormaliseByCurrent(InputWorkspace='PG3_40503_loadsum',
+   *OutputWorkspace='PG3_40503_loadsum', RecalculatePCharge=True)
+   * RenameWorkspace(InputWorkspace='PG3_40503_loadsum',
+   *OutputWorkspace='PG3_40503_vanbg')
+   * Minus(LHSWorkspace='PG3_40507', RHSWorkspace='PG3_40503_vanbg',
+   *OutputWorkspace='PG3_40507',
+   *  ClearRHSWorkspace=True)
+   * DeleteWorkspace(Workspace='PG3_40503_vanbg')
+   * CompressEvents(InputWorkspace='PG3_40507', OutputWorkspace='PG3_40507',
+   *Tolerance=0.01)
+   * ConvertUnits(InputWorkspace='PG3_40507', OutputWorkspace='PG3_40507',
+   *Target='Wavelength')
+   * SetSampleMaterial(InputWorkspace='PG3_40507', ChemicalFormula='V',
+   *SampleNumberDensity=0.0721)
+   * CarpenterSampleCorrection(InputWorkspace='PG3_40507',
+   *OutputWorkspace='PG3_40507')
+   * ConvertUnits(InputWorkspace='PG3_40507', OutputWorkspace='PG3_40507',
+   *Target='TOF')
+   * AlignAndFocusPowder(InputWorkspace='PG3_40507',
+   *OutputWorkspace='PG3_40507',
+   *  CalFileName='/SNS/PG3/shared/CALIBRATION/2018_2_11A_CAL/PG3_PAC_d40481_2018_06_13.h5',
+   *#GroupingWorkspace='PG3_group',
+   * Params='-0.0008', RemovePromptPulseWidth=50, PrimaryFlightPath=60,
+   *SpectrumIDs='1',
+   *  L2='3.18', Polar='90', Azimuthal='0',
+   *ReductionProperties='__snspowderreduction', PreserveEvents=False)
+   *  ConvertUnits(InputWorkspace='PG3_40507', OutputWorkspace='PG3_40507',
+   *Target='dSpacing')
+   * RemoveLogs(Workspace='PG3_40507')
+   * CropWorkspace(InputWorkspace='PG3_40507', OutputWorkspace='PG3_40507',
+   *XMin=1.15, XMax=2.2)
+   */
+  Mantid::API::MatrixWorkspace_sptr createPG3_40507() {
+    auto space2D = Mantid::DataObjects::create<
+        Mantid::DataObjects::Workspace2D>(
+        1,
+        Histogram(
+            BinEdges{
+              1.15042999, 1.15135033, 1.15227141, 1.15319323, 1.15411578,
+              1.15503908, 1.15596311, 1.15688788, 1.15781339, 1.15873964,
+              1.15966663, 1.16059436, 1.16152284, 1.16245206, 1.16338202,
+              1.16431272, 1.16524418, 1.16617637, 1.16710931, 1.168043,
+              1.16897743, 1.16991262, 1.17084855, 1.17178522, 1.17272265,
+              1.17366083, 1.17459976, 1.17553944, 1.17647987, 1.17742105,
+              1.17836299, 1.17930568, 1.18024913, 1.18119333, 1.18213828,
+              1.18308399, 1.18403046, 1.18497768, 1.18592566, 1.1868744,
+              1.1878239,  1.18877416, 1.18972518, 1.19067696, 1.1916295,
+              1.19258281, 1.19353687, 1.1944917,  1.1954473,  1.19640366,
+              1.19736078, 1.19831867, 1.19927732, 1.20023674, 1.20119693,
+              1.20215789, 1.20311962, 1.20408211, 1.20504538, 1.20600941,
+              1.20697422, 1.2079398,  1.20890615, 1.20987328, 1.21084118,
+              1.21180985, 1.2127793,  1.21374952, 1.21472052, 1.2156923,
+              1.21666485, 1.21763818, 1.21861229, 1.21958718, 1.22056285,
+              1.2215393,  1.22251653, 1.22349455, 1.22447334, 1.22545292,
+              1.22643328, 1.22741443, 1.22839636, 1.22937908, 1.23036258,
+              1.23134687, 1.23233195, 1.23331782, 1.23430447, 1.23529191,
+              1.23628015, 1.23726917, 1.23825899, 1.23924959, 1.24024099,
+              1.24123319, 1.24222617, 1.24321995, 1.24421453, 1.2452099,
+              1.24620607, 1.24720303, 1.2482008,  1.24919936, 1.25019872,
+              1.25119888, 1.25219984, 1.2532016,  1.25420416, 1.25520752,
+              1.25621169, 1.25721665, 1.25822243, 1.25922901, 1.26023639,
+              1.26124458, 1.26225357, 1.26326338, 1.26427399, 1.26528541,
+              1.26629764, 1.26731067, 1.26832452, 1.26933918, 1.27035465,
+              1.27137094, 1.27238803, 1.27340594, 1.27442467, 1.27544421,
+              1.27646456, 1.27748574, 1.27850772, 1.27953053, 1.28055415,
+              1.2815786,  1.28260386, 1.28362994, 1.28465685, 1.28568457,
+              1.28671312, 1.28774249, 1.28877269, 1.2898037,  1.29083555,
+              1.29186821, 1.29290171, 1.29393603, 1.29497118, 1.29600716,
+              1.29704396, 1.2980816,  1.29912006, 1.30015936, 1.30119949,
+              1.30224045, 1.30328224, 1.30432486, 1.30536832, 1.30641262,
+              1.30745775, 1.30850371, 1.30955052, 1.31059816, 1.31164664,
+              1.31269595, 1.31374611, 1.31479711, 1.31584895, 1.31690162,
+              1.31795515, 1.31900951, 1.32006472, 1.32112077, 1.32217767,
+              1.32323541, 1.324294,   1.32535343, 1.32641371, 1.32747485,
+              1.32853683, 1.32959965, 1.33066333, 1.33172787, 1.33279325,
+              1.33385948, 1.33492657, 1.33599451, 1.33706331, 1.33813296,
+              1.33920346, 1.34027483, 1.34134705, 1.34242012, 1.34349406,
+              1.34456886, 1.34564451, 1.34672103, 1.3477984,  1.34887664,
+              1.34995574, 1.35103571, 1.35211654, 1.35319823, 1.35428079,
+              1.35536421, 1.3564485,  1.35753366, 1.35861969, 1.35970659,
+              1.36079435, 1.36188299, 1.36297249, 1.36406287, 1.36515412,
+              1.36624624, 1.36733924, 1.36843311, 1.36952786, 1.37062348,
+              1.37171998, 1.37281736, 1.37391561, 1.37501474, 1.37611475,
+              1.37721565, 1.37831742, 1.37942007, 1.38052361, 1.38162803,
+              1.38273333, 1.38383952, 1.38494659, 1.38605455, 1.38716339,
+              1.38827312, 1.38938374, 1.39049524, 1.39160764, 1.39272093,
+              1.3938351,  1.39495017, 1.39606613, 1.39718299, 1.39830073,
+              1.39941937, 1.40053891, 1.40165934, 1.40278067, 1.40390289,
+              1.40502601, 1.40615003, 1.40727495, 1.40840077, 1.40952749,
+              1.41065512, 1.41178364, 1.41291307, 1.4140434,  1.41517463,
+              1.41630677, 1.41743982, 1.41857377, 1.41970863, 1.4208444,
+              1.42198107, 1.42311866, 1.42425715, 1.42539656, 1.42653687,
+              1.4276781,  1.42882025, 1.4299633,  1.43110727, 1.43225216,
+              1.43339796, 1.43454468, 1.43569231, 1.43684087, 1.43799034,
+              1.43914073, 1.44029205, 1.44144428, 1.44259743, 1.44375151,
+              1.44490651, 1.44606244, 1.44721929, 1.44837706, 1.44953577,
+              1.45069539, 1.45185595, 1.45301744, 1.45417985, 1.45534319,
+              1.45650747, 1.45767267, 1.45883881, 1.46000588, 1.46117389,
+              1.46234283, 1.4635127,  1.46468351, 1.46585526, 1.46702794,
+              1.46820157, 1.46937613, 1.47055163, 1.47172807, 1.47290545,
+              1.47408378, 1.47526304, 1.47644325, 1.47762441, 1.47880651,
+              1.47998955, 1.48117354, 1.48235848, 1.48354437, 1.4847312,
+              1.48591899, 1.48710772, 1.48829741, 1.48948805, 1.49067964,
+              1.49187218, 1.49306568, 1.49426013, 1.49545554, 1.49665191,
+              1.49784923, 1.49904751, 1.50024674, 1.50144694, 1.5026481,
+              1.50385022, 1.5050533,  1.50625734, 1.50746235, 1.50866832,
+              1.50987525, 1.51108315, 1.51229202, 1.51350185, 1.51471265,
+              1.51592442, 1.51713716, 1.51835087, 1.51956555, 1.52078121,
+              1.52199783, 1.52321543, 1.524434,   1.52565355, 1.52687407,
+              1.52809557, 1.52931805, 1.5305415,  1.53176593, 1.53299135,
+              1.53421774, 1.53544511, 1.53667347, 1.53790281, 1.53913313,
+              1.54036444, 1.54159673, 1.54283001, 1.54406427, 1.54529952,
+              1.54653576, 1.54777299, 1.54901121, 1.55025042, 1.55149062,
+              1.55273181, 1.553974,   1.55521718, 1.55646135, 1.55770652,
+              1.55895268, 1.56019985, 1.56144801, 1.56269716, 1.56394732,
+              1.56519848, 1.56645064, 1.5677038,  1.56895796, 1.57021313,
+              1.5714693,  1.57272647, 1.57398466, 1.57524384, 1.57650404,
+              1.57776524, 1.57902745, 1.58029068, 1.58155491, 1.58282015,
+              1.58408641, 1.58535368, 1.58662196, 1.58789126, 1.58916157,
+              1.5904329,  1.59170525, 1.59297861, 1.59425299, 1.5955284,
+              1.59680482, 1.59808226, 1.59936073, 1.60064022, 1.60192073,
+              1.60320227, 1.60448483, 1.60576842, 1.60705303, 1.60833867,
+              1.60962534, 1.61091304, 1.61220177, 1.61349154, 1.61478233,
+              1.61607416, 1.61736701, 1.61866091, 1.61995584, 1.6212518,
+              1.6225488,  1.62384684, 1.62514592, 1.62644604, 1.62774719,
+              1.62904939, 1.63035263, 1.63165691, 1.63296224, 1.63426861,
+              1.63557602, 1.63688448, 1.63819399, 1.63950455, 1.64081615,
+              1.6421288,  1.64344251, 1.64475726, 1.64607307, 1.64738992,
+              1.64870784, 1.6500268,  1.65134682, 1.6526679,  1.65399004,
+              1.65531323, 1.65663748, 1.65796279, 1.65928916, 1.66061659,
+              1.66194508, 1.66327464, 1.66460526, 1.66593694, 1.66726969,
+              1.66860351, 1.66993839, 1.67127434, 1.67261136, 1.67394945,
+              1.67528861, 1.67662884, 1.67797014, 1.67931252, 1.68065597,
+              1.68200049, 1.6833461,  1.68469277, 1.68604053, 1.68738936,
+              1.68873927, 1.69009026, 1.69144233, 1.69279549, 1.69414972,
+              1.69550504, 1.69686145, 1.69821894, 1.69957751, 1.70093717,
+              1.70229792, 1.70365976, 1.70502269, 1.70638671, 1.70775182,
+              1.70911802, 1.71048531, 1.7118537,  1.71322318, 1.71459376,
+              1.71596544, 1.71733821, 1.71871208, 1.72008705, 1.72146312,
+              1.72284029, 1.72421856, 1.72559794, 1.72697842, 1.72836,
+              1.72974269, 1.73112648, 1.73251138, 1.73389739, 1.73528451,
+              1.73667274, 1.73806208, 1.73945252, 1.74084409, 1.74223676,
+              1.74363055, 1.74502546, 1.74642148, 1.74781861, 1.74921687,
+              1.75061624, 1.75201673, 1.75341835, 1.75482108, 1.75622494,
+              1.75762992, 1.75903602, 1.76044325, 1.76185161, 1.76326109,
+              1.7646717,  1.76608343, 1.7674963,  1.7689103,  1.77032543,
+              1.77174169, 1.77315908, 1.77457761, 1.77599727, 1.77741807,
+              1.77884,    1.78026307, 1.78168728, 1.78311263, 1.78453912,
+              1.78596676, 1.78739553, 1.78882545, 1.79025651, 1.79168871,
+              1.79312206, 1.79455656, 1.7959922,  1.797429,   1.79886694,
+              1.80030604, 1.80174628, 1.80318768, 1.80463023, 1.80607393,
+              1.80751879, 1.80896481, 1.81041198, 1.81186031, 1.8133098,
+              1.81476044, 1.81621225, 1.81766522, 1.81911935, 1.82057465,
+              1.82203111, 1.82348873, 1.82494752, 1.82640748, 1.82786861,
+              1.8293309,  1.83079437, 1.832259,   1.83372481, 1.83519179,
+              1.83665994, 1.83812927, 1.83959978, 1.84107146, 1.84254431,
+              1.84401835, 1.84549356, 1.84696996, 1.84844753, 1.84992629,
+              1.85140623, 1.85288736, 1.85436967, 1.85585316, 1.85733785,
+              1.85882372, 1.86031078, 1.86179902, 1.86328846, 1.86477909,
+              1.86627092, 1.86776393, 1.86925814, 1.87075355, 1.87225015,
+              1.87374795, 1.87524695, 1.87674715, 1.87824855, 1.87975115,
+              1.88125495, 1.88275995, 1.88426616, 1.88577357, 1.88728219,
+              1.88879202, 1.89030305, 1.89181529, 1.89332875, 1.89484341,
+              1.89635928, 1.89787637, 1.89939467, 1.90091419, 1.90243492,
+              1.90395687, 1.90548003, 1.90700442, 1.90853002, 1.91005684,
+              1.91158489, 1.91311416, 1.91464465, 1.91617636, 1.91770931,
+              1.91924347, 1.92077887, 1.92231549, 1.92385334, 1.92539243,
+              1.92693274, 1.92847429, 1.93001707, 1.93156108, 1.93310633,
+              1.93465281, 1.93620054, 1.9377495,  1.9392997,  1.94085113,
+              1.94240382, 1.94395774, 1.9455129,  1.94706932, 1.94862697,
+              1.95018587, 1.95174602, 1.95330742, 1.95487006, 1.95643396,
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+              0.11556254, 0.11575002, 0.11563652, 0.11542595, 0.11570801,
+              0.1158586,  0.11600528, 0.11613733, 0.1161795,  0.1163012,
+              0.11652074, 0.11671698, 0.11649027, 0.11670725, 0.11666918,
+              0.11704312, 0.1168323,  0.11666211, 0.11713452, 0.11706081,
+              0.11736878, 0.11781523, 0.11723944, 0.1177871,  0.11786421,
+              0.11770941, 0.11755727, 0.11779118, 0.11801463, 0.11798372,
+              0.11835702, 0.11820464, 0.11794876, 0.11833424, 0.11825397,
+              0.11853825, 0.11868084, 0.11857568, 0.11890506, 0.11834615,
+              0.11887005, 0.11868061, 0.11900734, 0.11890801, 0.11928773,
+              0.11933879, 0.11950798, 0.11935514, 0.11928139, 0.11935545,
+              0.11915067, 0.11939353, 0.11956198, 0.1193625,  0.11961223,
+              0.11956111, 0.1197357,  0.11963851, 0.11997262, 0.11983564,
+              0.12003922, 0.11995384, 0.11983126, 0.11978,    0.11990461,
+              0.11990151, 0.1205824,  0.12024106, 0.12043872, 0.12046799,
+              0.12051577, 0.12047459, 0.12049854, 0.12087799, 0.12044014,
+              0.12031675, 0.12044389, 0.12083971, 0.12083157, 0.12082134,
+              0.12115007, 0.12069022, 0.12083268, 0.12069638, 0.12074078,
+              0.12092253, 0.12096648, 0.1209408,  0.12083527, 0.12095569,
+              0.12098025, 0.12076102, 0.12086163, 0.12094667, 0.12139388,
+              0.12078216, 0.12103414, 0.12126756, 0.12120854, 0.12108292,
+              0.12100308, 0.12115043, 0.12121332, 0.1206329,  0.12090712,
+              0.12076863, 0.12074094, 0.12062303, 0.12082079, 0.1209909,
+              0.12112458, 0.12207246, 0.12218142, 0.12154999, 0.12233238,
+              0.12345171, 0.12216962, 0.1210342,  0.12071547, 0.12082515,
+              0.12078011, 0.12059255, 0.12013529, 0.1204411,  0.12030222,
+              0.12064879, 0.12008365, 0.12085759, 0.12055658, 0.12091152,
+              0.12039997, 0.12068333, 0.12073999, 0.12102517, 0.12096843,
+              0.12068165, 0.12119209, 0.12092863, 0.12131486, 0.12109464,
+              0.1214653,  0.12136762, 0.12149701, 0.12139231, 0.12154187,
+              0.12189975, 0.12173327, 0.12165145, 0.121803,   0.12168023,
+              0.12177848, 0.12195502, 0.12209618, 0.12208228, 0.122006,
+              0.12213498, 0.12195088, 0.12257762, 0.12234055, 0.1221249,
+              0.12234262, 0.12240725, 0.12253272, 0.12251793, 0.1224379,
+              0.12299764, 0.12256128, 0.12286631, 0.12255145, 0.1227136,
+              0.12275076, 0.12261058, 0.12281186, 0.1230996,  0.12306993,
+              0.12278627, 0.12287486, 0.12310438, 0.12269442, 0.12314675,
+              0.12307819, 0.12295634, 0.12333423, 0.12371617, 0.12356086,
+              0.12396455, 0.12659848, 0.14758044, 0.16541888, 0.13957303,
+              0.12925304, 0.12604731, 0.12459023, 0.12378261, 0.12370793,
+              0.12335084, 0.12343917, 0.12326433, 0.12357662, 0.12350549,
+              0.12364156, 0.12359094, 0.12328373, 0.12366544, 0.1234665,
+              0.12353506, 0.12369789, 0.12331939, 0.12348493, 0.12342986,
+              0.12325508, 0.12352657, 0.12337392, 0.12310312, 0.12319982,
+              0.12338479, 0.12319994, 0.1229019,  0.12291918, 0.12285192,
+              0.12263437, 0.12259662, 0.1223905,  0.1227991,  0.12251541,
+              0.12171606, 0.12204615, 0.1217534,  0.12143749, 0.12109563,
+              0.12083896, 0.12050626, 0.12020373, 0.11972535, 0.1196556,
+              0.11901792, 0.11829378, 0.11842445, 0.11765844, 0.11712006,
+              0.11653108, 0.11603167, 0.11568374, 0.1150576,  0.11385368,
+              0.11350685, 0.11312784, 0.11194691, 0.11169322, 0.11102328,
+              0.11043224, 0.10997193, 0.10913658, 0.10857883, 0.10804441,
+              0.10736598, 0.10689977, 0.10632894, 0.10583985, 0.10511315,
+              0.10488256, 0.10440227, 0.10436692, 0.10409351, 0.10326387,
+              0.10327201, 0.10251131, 0.10227501, 0.10223691, 0.10140431,
+              0.10134056, 0.10106912, 0.10048082, 0.10015192, 0.10000476,
+              0.09940061, 0.09911605, 0.09937981, 0.09889048, 0.09833957,
+              0.09809914, 0.09770799, 0.09799267, 0.09749047, 0.0973443,
+              0.09721181, 0.09660111, 0.09670059, 0.09632986, 0.09588216,
+              0.09600354, 0.09579305, 0.09517147, 0.09475963, 0.09434851,
+              0.09436208, 0.0941166,  0.09412621, 0.09389304, 0.09362614,
+              0.0934498,  0.09337322, 0.0930348,  0.09255238, 0.09246405,
+              0.09239633, 0.09228948, 0.09149797, 0.09150998, 0.09091079,
+              0.09059358, 0.09073656, 0.09044675, 0.09052901, 0.09021704,
+              0.08983709, 0.08971085, 0.09012132, 0.08936779, 0.08918196,
+              0.08916877, 0.08892073, 0.08893757, 0.08858692, 0.0881193,
+              0.08828271, 0.0879663,  0.08785613, 0.08774057, 0.08761425,
+              0.08746617, 0.08754376, 0.08727514, 0.08697893, 0.08661758,
+              0.08678746, 0.08670468, 0.08679087, 0.08602114, 0.08557962,
+              0.08594464, 0.08552812, 0.08579972, 0.08549704, 0.08537773,
+              0.08484182, 0.08527655, 0.08476341, 0.08501413, 0.08480269,
+              0.08501053, 0.08471737, 0.08458685, 0.08452883, 0.08437682,
+              0.08400888, 0.0843093,  0.08404998, 0.08403721, 0.08372893,
+              0.08403811, 0.08353716, 0.08367217, 0.08358381, 0.08323296,
+              0.08324134, 0.08313687, 0.0827609,  0.08286916, 0.08265502,
+              0.08251579, 0.08257177, 0.08254709, 0.08265035, 0.08260576,
+              0.08239178, 0.08240309, 0.08219041, 0.0817003,  0.08219778,
+              0.08173714, 0.08195537, 0.0815065,  0.08111007, 0.0816751,
+              0.08086731, 0.08124781, 0.08148713, 0.08082474, 0.08086508,
+              0.08082352, 0.08084213, 0.08086525, 0.08057361, 0.08014514,
+              0.08049376, 0.08034359, 0.07998387, 0.07990817, 0.08010026,
+              0.08001849, 0.07982477, 0.07970619, 0.07961312, 0.07913916,
+              0.07960793, 0.07928162, 0.07931951, 0.07911895, 0.07924796,
+              0.07861915, 0.078851,   0.07869252, 0.07873411, 0.07844709,
+              0.07851855, 0.07822954, 0.07848927, 0.07842583, 0.07811262,
+              0.07796776, 0.07790764, 0.07785552, 0.07794405, 0.07750911,
+              0.07786925, 0.07754503, 0.07765547, 0.07757437, 0.07760141,
+              0.07724084, 0.07721791, 0.07704123, 0.07685608, 0.0769753,
+              0.07688559, 0.07670552, 0.07670128, 0.07666367, 0.07615797,
+              0.0763716,  0.07625804, 0.07633819, 0.0760897,  0.07643624,
+              0.0760088,  0.07576586, 0.07612283, 0.07564781, 0.07591185,
+              0.07588707, 0.07589227, 0.07575599, 0.0755274,  0.07583084,
+              0.07548325, 0.07523937, 0.07541937, 0.07533061, 0.07522039,
+              0.07464627, 0.0749228,  0.07483709, 0.07499167, 0.07449394,
+              0.07464648, 0.07453324, 0.07423873, 0.07419753, 0.07467062,
+              0.07449603, 0.07424625, 0.07415208, 0.07395542, 0.07366103,
+              0.07372235, 0.07414122, 0.07381445, 0.07341285, 0.07370479,
+              0.07343342, 0.07317712, 0.07357358, 0.07350074, 0.07323104,
+              0.07320646, 0.07334826, 0.07278856, 0.07311356, 0.07289351,
+              0.07258756, 0.07299891, 0.07276867, 0.07213024, 0.07252438,
+              0.07234726, 0.07247819, 0.07223626, 0.07188469, 0.07236707,
+              0.07214867, 0.07183589, 0.07216702, 0.07176504, 0.07154792,
+              0.0714893,  0.07168797, 0.07142927, 0.07117226, 0.07138552,
+              0.07148576, 0.07125145, 0.07116823, 0.07113642, 0.07089822,
+              0.07095803, 0.07067905, 0.07122147, 0.07080627, 0.07045241,
+              0.07064644, 0.07045675, 0.07023966, 0.0702617,  0.07061058,
+              0.07033734, 0.06987954, 0.07041236, 0.06974364, 0.07027269,
+              0.07036899, 0.07015203, 0.06978766, 0.06985847, 0.06978652,
+              0.06992062, 0.06967079, 0.06980092, 0.06984545, 0.06946438,
+              0.0692113,  0.06947494, 0.06954763, 0.06937168, 0.06917832,
+              0.06922749, 0.06949966, 0.06966824, 0.06924553, 0.06909893,
+              0.06914696, 0.06924436, 0.06909882, 0.06917435, 0.06883593,
+              0.06868457, 0.06879058, 0.06897344, 0.06878056, 0.06893278,
+              0.06863372, 0.0686559,  0.06896215, 0.0689892,  0.06877229,
+              0.06850599, 0.06897721, 0.0686959,  0.06878704, 0.06861183,
+              0.0687965,  0.06880388, 0.06888769, 0.06871961, 0.06868365,
+              0.06855779, 0.06852955, 0.06859698, 0.06854567, 0.06835265,
+              0.06848645, 0.06857056, 0.06841071, 0.06798028, 0.06802586,
+              0.06799168, 0.06815501, 0.06814112, 0.06790047, 0.0678429,
+              0.06831629, 0.06761858, 0.06764785, 0.06798609, 0.0675935,
+              0.06775755, 0.06749517, 0.06791124, 0.0673451,  0.06777571,
+              0.06721334, 0.06713083, 0.06721366, 0.06692459, 0.06728881,
+              0.06705009, 0.06716039, 0.06658561, 0.06660794, 0.0668228,
+              0.06639459, 0.06664136, 0.06640293, 0.06659663, 0.06617972,
+              0.06630982, 0.06628822, 0.06644162, 0.06691039, 0.06988695,
+              0.07920677, 0.08874079, 0.08334671, 0.07295063, 0.06833664,
+              0.06653433, 0.06566708, 0.06555435, 0.06527518, 0.06513995,
+              0.06482874, 0.06460965, 0.06463104, 0.06463471, 0.06481889,
+              0.06410483, 0.06412912, 0.06425102, 0.06407212, 0.06416003,
+              0.06395273, 0.06363819, 0.0635063,  0.06364338, 0.06362024,
+              0.06357006, 0.06292629, 0.06319382, 0.06293484, 0.06333936,
+              0.06281112, 0.06287284, 0.06251089, 0.06240202, 0.06257857
+            }));
+    space2D->getAxis(0)->unit() =
+        Mantid::Kernel::UnitFactory::Instance().create("dSpacing");
+    return std::move(space2D);
+  }
 };
 
 #endif /*STRIPVANADIUMPEAKSTEST_H_*/
diff --git a/docs/source/release/v3.13.0/diffraction.rst b/docs/source/release/v3.13.0/diffraction.rst
index 4e16daba20cf7b8c15f1c2d1672f5d076e70a9fc..af7afd61f039bebe29a3d3f7fc5fa1bb2d158e3a 100644
--- a/docs/source/release/v3.13.0/diffraction.rst
+++ b/docs/source/release/v3.13.0/diffraction.rst
@@ -40,6 +40,7 @@ Improvements
   - The ``.maud`` calibration file format, for conversion to d-spacing (uses a new algorithm
     :ref:`SaveGEMMAUDParamFile <algm-SaveGEMMAUDParamFile>`
 - :ref:`PDCalibration <algm-PDCalibration>` has major upgrades including making use of :ref:`FitPeaks <algm-FitPeaks>` for the individual peak fitting
+- :ref:`StripPeaks <algm-StripPeaks>` has been adjusted to allow for removing peaks that have only 3 bins across them (decreased from 5 bins)
 
 Engineering Diffraction
 -----------------------