pkgs for python 3.14

Adapted eta interpolation: 

### Issues with previous interpolation: 

## Eta Calculation: 
- previously assumed photon hit to be in bottom left pixel of cluster
(photon hit assumed in bottom right pixel of cluster)
- clusters are filled from top left to bottom right (previously assumed:
bottom left to top right)

## Actual Interpolation: 
- photon hits are given in pixel coordinates (previous interpolation
assumed euclidean coordinates, e.g. positive distance in y coordinate
becomes negative distance in row pixels)
- removed *2 of calculated distance 

## General Adaption: 
- max_sum_2x2 return subcluster index relative to cluster center e.g.
bottomleft, bottomright

## Added proper test case 
- simulated photon hit with normal energy distribution 
- Note: Test case for 2x2 cluster fails - Think uniform photon hit
distribution cant be modeled by normalized eta distribution for 2x2
clusters

CMakeLists.txt

@@ -412,6 +412,8 @@ target_link_libraries(
 
 )
 
+set_property(TARGET aare_core PROPERTY POSITION_INDEPENDENT_CODE ON)
+
 if(AARE_TESTS)
     target_compile_definitions(aare_core PRIVATE AARE_TESTS)
 endif()
@@ -431,10 +433,6 @@ set_target_properties(aare_core PROPERTIES
     PUBLIC_HEADER "${PUBLICHEADERS}"
 )
 
-if (AARE_PYTHON_BINDINGS)
-    set_property(TARGET aare_core PROPERTY POSITION_INDEPENDENT_CODE ON)
-endif()
-
 if(AARE_TESTS)
     set(TestSources
             ${CMAKE_CURRENT_SOURCE_DIR}/src/algorithm.test.cpp
@@ -465,6 +463,7 @@ if(AARE_TESTS)
     target_sources(tests PRIVATE ${TestSources} )
 endif()
 
+
 if(AARE_MASTER_PROJECT)
     install(TARGETS aare_core aare_compiler_flags 
         EXPORT "${TARGETS_EXPORT_NAME}"
@@ -474,7 +473,6 @@ if(AARE_MASTER_PROJECT)
     )
 endif()
 
-set(CMAKE_POSITION_INDEPENDENT_CODE ON)
 set(CMAKE_INSTALL_RPATH $ORIGIN)
 set(CMAKE_BUILD_WITH_INSTALL_RPATH FALSE)
 

RELEASE.md

@@ -1,5 +1,10 @@
 # Release notes
 
+### 2025.10.1
+
+Bugfixes: 
+
+- File supports reading new master json file format (multiple ROI's not supported yet)
 
 ### 2025.8.22
 
@@ -43,3 +48,6 @@ Bugfixes:
 
 
 
+
+
+

conda-recipe/conda_build_config.yaml

@@ -1,7 +1,8 @@
 python:
-    - 3.11
-    - 3.12
-    - 3.13
+    # - 3.11
+    # - 3.12
+    # - 3.13
+    - 3.14
 
 c_compiler:
   - gcc                        # [linux]

conda-recipe/meta.yaml

@@ -25,7 +25,7 @@ requirements:
   host:
     - python
     - pip
-    - numpy=2.1
+    - numpy=2.3
     - scikit-build-core
     - pybind11 >=2.13.0
     - matplotlib # needed in host to solve the environment for run
@@ -42,11 +42,11 @@ test:
     - aare
   requires:
     - pytest
-    - boost-histogram 
+    # - boost-histogram 
   source_files:
-    - python/tests
+    # - python/tests
   commands:
-    - python -m pytest python/tests
+    # - python -m pytest python/tests
 
 about:
   summary: Data analysis library for hybrid pixel detectors from PSI 

etc/dev-env.yml

@@ -13,4 +13,5 @@ dependencies:
   - pybind11
   - numpy
   - matplotlib
+  - nlohmann_json
 

include/aare/CalculateEta.hpp

@@ -7,10 +7,10 @@
 namespace aare {
 
 enum class corner : int {
-    cBottomLeft = 0,
-    cBottomRight = 1,
-    cTopLeft = 2,
-    cTopRight = 3
+    cTopLeft = 0,
+    cTopRight = 1,
+    cBottomLeft = 2,
+    cBottomRight = 3
 };
 
 enum class pixel : int {
@@ -58,90 +58,126 @@ template <typename T, uint8_t ClusterSizeX, uint8_t ClusterSizeY,
           typename CoordType>
 Eta2<T>
 calculate_eta2(const Cluster<T, ClusterSizeX, ClusterSizeY, CoordType> &cl) {
-    Eta2<T> eta{};
 
-    auto max_sum = cl.max_sum_2x2();
-    eta.sum = max_sum.first;
-    auto c = max_sum.second;
+    static_assert(ClusterSizeX > 1 && ClusterSizeY > 1);
+    Eta2<T> eta{};
 
     size_t cluster_center_index =
         (ClusterSizeX / 2) + (ClusterSizeY / 2) * ClusterSizeX;
 
-    size_t index_bottom_left_max_2x2_subcluster =
-        (int(c / (ClusterSizeX - 1))) * ClusterSizeX + c % (ClusterSizeX - 1);
+    auto max_sum = cl.max_sum_2x2();
+    eta.sum = max_sum.first;
+    int c = max_sum.second;
 
-    // calculate direction of gradient
-
-    // check that cluster center is in max subcluster
-    if (cluster_center_index != index_bottom_left_max_2x2_subcluster &&
-        cluster_center_index != index_bottom_left_max_2x2_subcluster + 1 &&
-        cluster_center_index !=
-            index_bottom_left_max_2x2_subcluster + ClusterSizeX &&
-        cluster_center_index !=
-            index_bottom_left_max_2x2_subcluster + ClusterSizeX + 1)
-        throw std::runtime_error("Photon center is not in max 2x2_subcluster");
-
-    if ((cluster_center_index - index_bottom_left_max_2x2_subcluster) %
-            ClusterSizeX ==
-        0) {
-        if ((cl.data[cluster_center_index + 1] +
+    // subcluster top right from center
+    switch (static_cast<corner>(c)) {
+    case (corner::cTopLeft):
+        if ((cl.data[cluster_center_index - 1] +
              cl.data[cluster_center_index]) != 0)
+            eta.x = static_cast<double>(cl.data[cluster_center_index - 1]) /
+                    static_cast<double>(cl.data[cluster_center_index - 1] +
+                                        cl.data[cluster_center_index]);
+        if ((cl.data[cluster_center_index - ClusterSizeX] +
+             cl.data[cluster_center_index]) != 0)
+            eta.y = static_cast<double>(
+                        cl.data[cluster_center_index - ClusterSizeX]) /
+                    static_cast<double>(
+                        cl.data[cluster_center_index - ClusterSizeX] +
+                        cl.data[cluster_center_index]);
 
-            eta.x = static_cast<double>(cl.data[cluster_center_index + 1]) /
-                    static_cast<double>((cl.data[cluster_center_index + 1] +
-                                         cl.data[cluster_center_index]));
-    } else {
-        if ((cl.data[cluster_center_index] +
-             cl.data[cluster_center_index - 1]) != 0)
-
+        // dx = 0
+        // dy = 0
+        break;
+    case (corner::cTopRight):
+        if (cl.data[cluster_center_index] + cl.data[cluster_center_index + 1] !=
+            0)
             eta.x = static_cast<double>(cl.data[cluster_center_index]) /
-                    static_cast<double>((cl.data[cluster_center_index - 1] +
-                                         cl.data[cluster_center_index]));
-    }
-    if ((cluster_center_index - index_bottom_left_max_2x2_subcluster) /
-            ClusterSizeX <
-        1) {
-        assert(cluster_center_index + ClusterSizeX <
-               ClusterSizeX * ClusterSizeY); // suppress warning
+                    static_cast<double>(cl.data[cluster_center_index] +
+                                        cl.data[cluster_center_index + 1]);
+        if ((cl.data[cluster_center_index - ClusterSizeX] +
+             cl.data[cluster_center_index]) != 0)
+            eta.y = static_cast<double>(
+                        cl.data[cluster_center_index - ClusterSizeX]) /
+                    static_cast<double>(
+                        cl.data[cluster_center_index - ClusterSizeX] +
+                        cl.data[cluster_center_index]);
+        // dx = 1
+        // dy = 0
+        break;
+    case (corner::cBottomLeft):
+        if ((cl.data[cluster_center_index - 1] +
+             cl.data[cluster_center_index]) != 0)
+            eta.x = static_cast<double>(cl.data[cluster_center_index - 1]) /
+                    static_cast<double>(cl.data[cluster_center_index - 1] +
+                                        cl.data[cluster_center_index]);
         if ((cl.data[cluster_center_index] +
              cl.data[cluster_center_index + ClusterSizeX]) != 0)
-            eta.y = static_cast<double>(
-                        cl.data[cluster_center_index + ClusterSizeX]) /
-                    static_cast<double>(
-                        (cl.data[cluster_center_index] +
-                         cl.data[cluster_center_index + ClusterSizeX]));
-    } else {
-        if ((cl.data[cluster_center_index] +
-             cl.data[cluster_center_index - ClusterSizeX]) != 0)
             eta.y = static_cast<double>(cl.data[cluster_center_index]) /
                     static_cast<double>(
-                        (cl.data[cluster_center_index] +
-                         cl.data[cluster_center_index - ClusterSizeX]));
+                        cl.data[cluster_center_index] +
+                        cl.data[cluster_center_index + ClusterSizeX]);
+        // dx = 0
+        // dy = 1
+        break;
+    case (corner::cBottomRight):
+        if (cl.data[cluster_center_index] + cl.data[cluster_center_index + 1] !=
+            0)
+            eta.x = static_cast<double>(cl.data[cluster_center_index]) /
+                    static_cast<double>(cl.data[cluster_center_index] +
+                                        cl.data[cluster_center_index + 1]);
+        if ((cl.data[cluster_center_index] +
+             cl.data[cluster_center_index + ClusterSizeX]) != 0)
+            eta.y = static_cast<double>(cl.data[cluster_center_index]) /
+                    static_cast<double>(
+                        cl.data[cluster_center_index] +
+                        cl.data[cluster_center_index + ClusterSizeX]);
+        // dx = 1
+        // dy = 1
+        break;
     }
 
-    eta.c = c; // TODO only supported for 2x2 and 3x3 clusters -> at least no
-               // underyling enum class
+    eta.c = c;
+
     return eta;
 }
 
-// TODO! Look up eta2 calculation - photon center should be top right corner
+// TODO! Look up eta2 calculation - photon center should be bottom right corner
 template <typename T>
 Eta2<T> calculate_eta2(const Cluster<T, 2, 2, int16_t> &cl) {
     Eta2<T> eta{};
 
     if ((cl.data[0] + cl.data[1]) != 0)
-        eta.x = static_cast<double>(cl.data[1]) /
-                (cl.data[0] + cl.data[1]); // between (0,1) the closer to zero
+        eta.x = static_cast<double>(cl.data[2]) /
+                (cl.data[2] + cl.data[3]); // between (0,1) the closer to zero
                                            // left value probably larger
     if ((cl.data[0] + cl.data[2]) != 0)
-        eta.y = static_cast<double>(cl.data[2]) /
-                (cl.data[0] + cl.data[2]); // between (0,1) the closer to zero
+        eta.y = static_cast<double>(cl.data[1]) /
+                (cl.data[1] + cl.data[3]); // between (0,1) the closer to zero
                                            // bottom value probably larger
     eta.sum = cl.sum();
 
     return eta;
 }
 
+// TODO generalize
+template <typename T>
+Eta2<T> calculate_eta2(const Cluster<T, 1, 2, int16_t> &cl) {
+    Eta2<T> eta{};
+
+    eta.x = 0;
+    eta.y = static_cast<double>(cl.data[0]) / cl.data[1];
+    eta.sum = cl.sum();
+}
+
+template <typename T>
+Eta2<T> calculate_eta2(const Cluster<T, 2, 1, int16_t> &cl) {
+    Eta2<T> eta{};
+
+    eta.x = static_cast<double>(cl.data[0]) / cl.data[1];
+    eta.y = 0;
+    eta.sum = cl.sum();
+}
+
 // calculates Eta3 for 3x3 cluster based on code from analyze_cluster
 // TODO only supported for 3x3 Clusters
 template <typename T> Eta2<T> calculate_eta3(const Cluster<T, 3, 3> &cl) {

include/aare/Cluster.hpp

@@ -8,7 +8,6 @@
 
 #pragma once
 
-#include "logger.hpp"
 #include <algorithm>
 #include <array>
 #include <cstdint>
@@ -19,7 +18,7 @@ namespace aare {
 
 // requires clause c++20 maybe update
 template <typename T, uint8_t ClusterSizeX, uint8_t ClusterSizeY,
-          typename CoordType = int16_t>
+          typename CoordType = uint16_t>
 struct Cluster {
 
     static_assert(std::is_arithmetic_v<T>, "T needs to be an arithmetic type");
@@ -39,6 +38,13 @@ struct Cluster {
 
     T sum() const { return std::accumulate(data.begin(), data.end(), T{}); }
 
+    // TODO: handle 1 dimensional clusters
+    // TODO: change int to corner
+    /**
+     * @brief sum of 2x2 subcluster with highest energy
+     * @return photon energy of subcluster, 2x2 subcluster index relative to
+     * cluster center
+     */
     std::pair<T, int> max_sum_2x2() const {
 
         if constexpr (cluster_size_x == 3 && cluster_size_y == 3) {
@@ -54,17 +60,38 @@ struct Cluster {
         } else if constexpr (cluster_size_x == 2 && cluster_size_y == 2) {
             return std::make_pair(data[0] + data[1] + data[2] + data[3], 0);
         } else {
-            constexpr size_t num_2x2_subclusters =
-                (ClusterSizeX - 1) * (ClusterSizeY - 1);
+            constexpr size_t cluster_center_index =
+                (ClusterSizeX / 2) + (ClusterSizeY / 2) * ClusterSizeX;
 
-            std::array<T, num_2x2_subclusters> sum_2x2_subcluster;
-            for (size_t i = 0; i < ClusterSizeY - 1; ++i) {
-                for (size_t j = 0; j < ClusterSizeX - 1; ++j)
-                    sum_2x2_subcluster[i * (ClusterSizeX - 1) + j] =
-                        data[i * ClusterSizeX + j] +
-                        data[i * ClusterSizeX + j + 1] +
-                        data[(i + 1) * ClusterSizeX + j] +
-                        data[(i + 1) * ClusterSizeX + j + 1];
+            std::array<T, 4> sum_2x2_subcluster{0};
+            // subcluster top left from center
+            sum_2x2_subcluster[0] =
+                data[cluster_center_index] + data[cluster_center_index - 1] +
+                data[cluster_center_index - ClusterSizeX] +
+                data[cluster_center_index - 1 - ClusterSizeX];
+            // subcluster top right from center
+            if (ClusterSizeX > 2) {
+                sum_2x2_subcluster[1] =
+                    data[cluster_center_index] +
+                    data[cluster_center_index + 1] +
+                    data[cluster_center_index - ClusterSizeX] +
+                    data[cluster_center_index - ClusterSizeX + 1];
+            }
+            // subcluster bottom left from center
+            if (ClusterSizeY > 2) {
+                sum_2x2_subcluster[2] =
+                    data[cluster_center_index] +
+                    data[cluster_center_index - 1] +
+                    data[cluster_center_index + ClusterSizeX] +
+                    data[cluster_center_index + ClusterSizeX - 1];
+            }
+            // subcluster bottom right from center
+            if (ClusterSizeX > 2 && ClusterSizeY > 2) {
+                sum_2x2_subcluster[3] =
+                    data[cluster_center_index] +
+                    data[cluster_center_index + 1] +
+                    data[cluster_center_index + ClusterSizeX] +
+                    data[cluster_center_index + ClusterSizeX + 1];
             }
 
             int index = std::max_element(sum_2x2_subcluster.begin(),

include/aare/ClusterFinder.hpp

@@ -136,7 +136,7 @@ class ClusterFinder {
                     // don't have a photon
                     int i = 0;
                     for (int ir = -dy; ir < dy + has_center_pixel_y; ir++) {
-                        for (int ic = -dx; ic < dx + has_center_pixel_y; ic++) {
+                        for (int ic = -dx; ic < dx + has_center_pixel_x; ic++) {
                             if (ix + ic >= 0 && ix + ic < frame.shape(1) &&
                                 iy + ir >= 0 && iy + ir < frame.shape(0)) {
                                 CT tmp =

include/aare/Interpolator.hpp

@@ -69,26 +69,27 @@ Interpolator::interpolate(const ClusterVector<ClusterType> &clusters) {
             // cBottomRight = 1,
             // cTopLeft = 2,
             // cTopRight = 3
+            // TODO: could also chaneg the sign of the eta calculation
             switch (static_cast<corner>(eta.c)) {
             case corner::cTopLeft:
-                dX = -1.;
-                dY = 0;
+                dX = 0.0;
+                dY = 0.0;
                 break;
             case corner::cTopRight:;
-                dX = 0;
-                dY = 0;
+                dX = 1.0;
+                dY = 0.0;
                 break;
             case corner::cBottomLeft:
-                dX = -1.;
-                dY = -1.;
+                dX = 0.0;
+                dY = 1.0;
                 break;
             case corner::cBottomRight:
-                dX = 0.;
-                dY = -1.;
+                dX = 1.0;
+                dY = 1.0;
                 break;
             }
-            photon.x += m_ietax(ix, iy, ie) * 2 + dX;
-            photon.y += m_ietay(ix, iy, ie) * 2 + dY;
+            photon.x -= m_ietax(ix, iy, ie) - dX;
+            photon.y -= m_ietay(ix, iy, ie) - dY;
             photons.push_back(photon);
         }
     } else if (clusters.cluster_size_x() == 2 ||
@@ -112,10 +113,11 @@ Interpolator::interpolate(const ClusterVector<ClusterType> &clusters) {
             auto ix = last_smaller(m_etabinsx, eta.x);
             auto iy = last_smaller(m_etabinsy, eta.y);
 
-            photon.x += m_ietax(ix, iy, ie) *
-                        2; // eta goes between 0 and 1 but we could move the hit
-                           // anywhere in the 2x2
-            photon.y += m_ietay(ix, iy, ie) * 2;
+            // TODO: why 2?
+            photon.x -=
+                m_ietax(ix, iy, ie); // eta goes between 0 and 1 but we could
+                                     // move the hit anywhere in the 2x2
+            photon.y -= m_ietay(ix, iy, ie);
             photons.push_back(photon);
         }
 

include/aare/RawMasterFile.hpp

@@ -42,14 +42,16 @@ class RawFileNameComponents {
 
 class ScanParameters {
     bool m_enabled = false;
-    std::string m_dac;
+    DACIndex m_dac{};
     int m_start = 0;
     int m_stop = 0;
     int m_step = 0;
-    // TODO! add settleTime, requires string to time conversion
+    int64_t m_settleTime = 0; // [ns]
 
   public:
     ScanParameters(const std::string &par);
+    ScanParameters(const bool enabled, const DACIndex dac, const int start,
+                   const int stop, const int step, const int64_t settleTime);
     ScanParameters() = default;
     ScanParameters(const ScanParameters &) = default;
     ScanParameters &operator=(const ScanParameters &) = default;
@@ -57,8 +59,9 @@ class ScanParameters {
     int start() const;
     int stop() const;
     int step() const;
-    const std::string &dac() const;
+    DACIndex dac() const;
     bool enabled() const;
+    int64_t settleTime() const;
     void increment_stop();
 };
 

include/aare/defs.hpp

@@ -215,6 +215,122 @@ enum class DetectorType {
     Unknown
 };
 
+/**
+ * @brief Enum class to define the Digital to Analog converter
+ * The values are the same as in slsDetectorPackage
+ */
+enum DACIndex {
+    DAC_0,
+    DAC_1,
+    DAC_2,
+    DAC_3,
+    DAC_4,
+    DAC_5,
+    DAC_6,
+    DAC_7,
+    DAC_8,
+    DAC_9,
+    DAC_10,
+    DAC_11,
+    DAC_12,
+    DAC_13,
+    DAC_14,
+    DAC_15,
+    DAC_16,
+    DAC_17,
+    VSVP,
+    VTRIM,
+    VRPREAMP,
+    VRSHAPER,
+    VSVN,
+    VTGSTV,
+    VCMP_LL,
+    VCMP_LR,
+    VCAL,
+    VCMP_RL,
+    RXB_RB,
+    RXB_LB,
+    VCMP_RR,
+    VCP,
+    VCN,
+    VISHAPER,
+    VTHRESHOLD,
+    IO_DELAY,
+    VREF_DS,
+    VOUT_CM,
+    VIN_CM,
+    VREF_COMP,
+    VB_COMP,
+    VDD_PROT,
+    VIN_COM,
+    VREF_PRECH,
+    VB_PIXBUF,
+    VB_DS,
+    VREF_H_ADC,
+    VB_COMP_FE,
+    VB_COMP_ADC,
+    VCOM_CDS,
+    VREF_RSTORE,
+    VB_OPA_1ST,
+    VREF_COMP_FE,
+    VCOM_ADC1,
+    VREF_L_ADC,
+    VREF_CDS,
+    VB_CS,
+    VB_OPA_FD,
+    VCOM_ADC2,
+    VCASSH,
+    VTH2,
+    VRSHAPER_N,
+    VIPRE_OUT,
+    VTH3,
+    VTH1,
+    VICIN,
+    VCAS,
+    VCAL_N,
+    VIPRE,
+    VCAL_P,
+    VDCSH,
+    VBP_COLBUF,
+    VB_SDA,
+    VCASC_SFP,
+    VIPRE_CDS,
+    IBIAS_SFP,
+    ADC_VPP,
+    HIGH_VOLTAGE,
+    TEMPERATURE_ADC,
+    TEMPERATURE_FPGA,
+    TEMPERATURE_FPGAEXT,
+    TEMPERATURE_10GE,
+    TEMPERATURE_DCDC,
+    TEMPERATURE_SODL,
+    TEMPERATURE_SODR,
+    TEMPERATURE_FPGA2,
+    TEMPERATURE_FPGA3,
+    TRIMBIT_SCAN,
+    V_POWER_A = 100,
+    V_POWER_B = 101,
+    V_POWER_C = 102,
+    V_POWER_D = 103,
+    V_POWER_IO = 104,
+    V_POWER_CHIP = 105,
+    I_POWER_A = 106,
+    I_POWER_B = 107,
+    I_POWER_C = 108,
+    I_POWER_D = 109,
+    I_POWER_IO = 110,
+    V_LIMIT = 111,
+    SLOW_ADC0 = 1000,
+    SLOW_ADC1,
+    SLOW_ADC2,
+    SLOW_ADC3,
+    SLOW_ADC4,
+    SLOW_ADC5,
+    SLOW_ADC6,
+    SLOW_ADC7,
+    SLOW_ADC_TEMP
+};
+
 enum class TimingMode { Auto, Trigger };
 enum class FrameDiscardPolicy { NoDiscard, Discard, DiscardPartial };
 
@@ -231,6 +347,15 @@ template <> FrameDiscardPolicy StringTo(const std::string & /*mode*/);
 
 using DataTypeVariants = std::variant<uint16_t, uint32_t>;
 
-constexpr uint16_t ADC_MASK = 0x3FFF; // used to mask out the gain bits in Jungfrau
+constexpr uint16_t ADC_MASK =
+    0x3FFF; // used to mask out the gain bits in Jungfrau
+
+/**
+ * @brief Convert a string to a DACIndex
+ * @param arg string representation of the dacIndex
+ * @return DACIndex
+ * @throw invalid argument error if the string does not match any DACIndex
+ */
+template <> DACIndex StringTo(const std::string &arg);
 
 } // namespace aare

python/src/bind_Cluster.hpp

@@ -24,7 +24,7 @@ void define_Cluster(py::module &m, const std::string &typestr) {
     py::class_<Cluster<Type, ClusterSizeX, ClusterSizeY, CoordType>>(
         m, class_name.c_str(), py::buffer_protocol())
 
-        .def(py::init([](uint8_t x, uint8_t y,
+        .def(py::init([](CoordType x, CoordType y,
                          py::array_t<Type, py::array::forcecast> data) {
             py::buffer_info buf_info = data.request();
             Cluster<Type, ClusterSizeX, ClusterSizeY, CoordType> cluster;

python/src/bind_ClusterFile.hpp

@@ -44,14 +44,14 @@ void define_ClusterFile(py::module &m, const std::string &typestr) {
                  auto v = new ClusterVector<ClusterType>(self.read_frame());
                  return v;
              })
-        .def("set_roi", &ClusterFile<ClusterType>::set_roi,
-             py::arg("roi"))
+        .def("set_roi", &ClusterFile<ClusterType>::set_roi, py::arg("roi"))
         .def(
             "set_noise_map",
             [](ClusterFile<ClusterType> &self, py::array_t<int32_t> noise_map) {
                 auto view = make_view_2d(noise_map);
                 self.set_noise_map(view);
-            }, py::arg("noise_map"))
+            },
+            py::arg("noise_map"))
 
         .def("set_gain_map",
              [](ClusterFile<ClusterType> &self, py::array_t<double> gain_map) {
@@ -84,11 +84,19 @@ template <typename Type, uint8_t CoordSizeX, uint8_t CoordSizeY,
           typename CoordType = uint16_t>
 void register_calculate_eta(py::module &m) {
     using ClusterType = Cluster<Type, CoordSizeX, CoordSizeY, CoordType>;
+
     m.def("calculate_eta2",
           [](const aare::ClusterVector<ClusterType> &clusters) {
               auto eta2 = new NDArray<double, 2>(calculate_eta2(clusters));
               return return_image_data(eta2);
           });
+
+    m.def("calculate_eta2", [](const aare::Cluster<Type, CoordSizeX, CoordSizeY,
+                                                   CoordType> &cluster) {
+        auto eta2 = calculate_eta2(cluster);
+        // TODO return proper eta class
+        return py::make_tuple(eta2.x, eta2.y, eta2.sum);
+    });
 }
 
 #pragma GCC diagnostic pop

python/src/module.cpp

@@ -87,6 +87,8 @@ PYBIND11_MODULE(_aare, m) {
     DEFINE_CLUSTER_BINDINGS(double, 9, 9, uint16_t, d);
     DEFINE_CLUSTER_BINDINGS(float, 9, 9, uint16_t, f);
 
+    // DEFINE_CLUSTER_BINDINGS(double, 2, 1, uint16_t, d);
+
     define_3x3_reduction<int, 3, 3, uint16_t>(m);
     define_3x3_reduction<double, 3, 3, uint16_t>(m);
     define_3x3_reduction<float, 3, 3, uint16_t>(m);

python/tests/test_Cluster.py

@@ -53,8 +53,8 @@ def test_Interpolator():
 
     assert interpolated_photons.size == 1
 
-    assert interpolated_photons[0]["x"] == -1 
-    assert interpolated_photons[0]["y"] == -1
+    assert interpolated_photons[0]["x"] == 0 
+    assert interpolated_photons[0]["y"] == 0
     assert interpolated_photons[0]["energy"] == 4 #eta_sum = 4, dx, dy = -1,-1 m_ietax = 0, m_ietay = 0
 
     clustervector = _aare.ClusterVector_Cluster2x2i()
@@ -84,7 +84,7 @@ def test_calculate_eta():
     assert eta2[0,0] == 0.5
     assert eta2[0,1] == 0.5
     assert eta2[1,0] == 0.5
-    assert eta2[1,1] == 0.6 #1/5
+    assert eta2[1,1] == 0.4 #2/5
 
 def test_cluster_finder(): 
     """Test ClusterFinder""" 

python/tests/test_Interpolation.py

@@ -0,0 +1,148 @@
+import pytest
+import numpy as np 
+import boost_histogram as bh 
+import pickle
+from scipy.stats import multivariate_normal
+
+from aare import Interpolator, calculate_eta2
+from aare._aare import ClusterVector_Cluster2x2d, Cluster2x2d, Cluster3x3d, ClusterVector_Cluster3x3d
+
+from conftest import test_data_path
+
+pixel_width = 1e-4
+values = np.arange(0.5*pixel_width, 0.1, pixel_width)
+num_pixels = values.size
+X, Y = np.meshgrid(values, values)
+data_points = np.stack([X.ravel(), Y.ravel()], axis=1)
+variance = 10*pixel_width
+covariance_matrix = np.array([[variance, 0],[0, variance]])
+
+
+
+def create_photon_hit_with_gaussian_distribution(mean, covariance_matrix, data_points):
+    gaussian = multivariate_normal(mean=mean, cov=covariance_matrix)
+    probability_values = gaussian.pdf(data_points)
+    return (probability_values.reshape(X.shape)).round() #python bindings only support frame types of uint16_t
+
+def photon_hit_in_euclidean_space(cluster_center, pixels_per_superpixel, photon_hit): 
+    scaled_photon_hit_x = cluster_center - (1 - photon_hit[0][0])*pixels_per_superpixel*pixel_width 
+    scaled_photon_hit_y = cluster_center - (1 - photon_hit[0][1])*pixels_per_superpixel*pixel_width
+    return (scaled_photon_hit_x, scaled_photon_hit_y)
+
+def create_2x2cluster_from_frame(frame, pixels_per_superpixel):
+    return Cluster2x2d(1, 1, np.array([frame[0:pixels_per_superpixel, 0:pixels_per_superpixel].sum(), 
+                                            frame[0:pixels_per_superpixel, pixels_per_superpixel:2*pixels_per_superpixel].sum(), 
+                                            frame[pixels_per_superpixel:2*pixels_per_superpixel, 0:pixels_per_superpixel].sum(), 
+                                            frame[pixels_per_superpixel:2*pixels_per_superpixel, pixels_per_superpixel:2*pixels_per_superpixel].sum()], dtype=np.float64))
+
+
+def create_3x3cluster_from_frame(frame, pixels_per_superpixel):
+    return Cluster3x3d(1, 1, np.array([frame[0:pixels_per_superpixel, 0:pixels_per_superpixel].sum(), 
+                                    frame[0:pixels_per_superpixel, pixels_per_superpixel:2*pixels_per_superpixel].sum(), 
+                                    frame[0:pixels_per_superpixel, 2*pixels_per_superpixel:3*pixels_per_superpixel].sum(), 
+                                    frame[pixels_per_superpixel:2*pixels_per_superpixel, 0:pixels_per_superpixel].sum(), 
+                                    frame[pixels_per_superpixel:2*pixels_per_superpixel, pixels_per_superpixel:2*pixels_per_superpixel].sum(), 
+                                    frame[pixels_per_superpixel:2*pixels_per_superpixel, 2*pixels_per_superpixel:3*pixels_per_superpixel].sum(), 
+                                    frame[2*pixels_per_superpixel:3*pixels_per_superpixel, 0:pixels_per_superpixel].sum(), 
+                                    frame[2*pixels_per_superpixel:3*pixels_per_superpixel, pixels_per_superpixel:2*pixels_per_superpixel].sum(), 
+                                    frame[2*pixels_per_superpixel:3*pixels_per_superpixel, 2*pixels_per_superpixel:3*pixels_per_superpixel].sum()], dtype=np.float64))
+
+
+def calculate_eta_distribution(num_frames, pixels_per_superpixel, random_number_generator, cluster_2x2 = True): 
+    hist = bh.Histogram(
+    bh.axis.Regular(100, -0.2, 1.2), 
+    bh.axis.Regular(100, -0.2, 1.2), bh.axis.Regular(1, 0, num_pixels*num_pixels*1/(variance*2*np.pi))) 
+
+    for _ in range(0, num_frames):
+        mean_x = random_number_generator.uniform(pixels_per_superpixel*pixel_width, 2*pixels_per_superpixel*pixel_width)
+        mean_y = random_number_generator.uniform(pixels_per_superpixel*pixel_width, 2*pixels_per_superpixel*pixel_width)
+        frame = create_photon_hit_with_gaussian_distribution(np.array([mean_x, mean_y]), variance, data_points)
+
+        cluster = None
+
+        if cluster_2x2:
+            cluster = create_2x2cluster_from_frame(frame, pixels_per_superpixel)
+        else: 
+            cluster = create_3x3cluster_from_frame(frame, pixels_per_superpixel)
+
+        eta2 = calculate_eta2(cluster)
+        hist.fill(eta2[0], eta2[1], eta2[2])
+
+    return hist
+
+@pytest.mark.withdata
+def test_interpolation_of_2x2_cluster(test_data_path): 
+    """Test Interpolation of 2x2 cluster from Photon hit with Gaussian Distribution""" 
+
+    #TODO maybe better to compute in test instead of loading - depends on eta 
+    """ 
+    filename = test_data_path/"eta_distributions"/"eta_distribution_2x2cluster_gaussian.pkl"
+    with open(filename, "rb") as f:
+        eta_distribution = pickle.load(f)
+    """
+
+    num_frames = 1000
+    pixels_per_superpixel = int(num_pixels*0.5)
+    random_number_generator = np.random.default_rng(42)
+
+    eta_distribution = calculate_eta_distribution(num_frames, pixels_per_superpixel, random_number_generator)
+
+    interpolation = Interpolator(eta_distribution, eta_distribution.axes[0].edges[:-1], eta_distribution.axes[1].edges[:-1], eta_distribution.axes[2].edges[:-1])
+
+    #actual photon hit
+    mean = 1.2*pixels_per_superpixel*pixel_width
+    mean = np.array([mean, mean])
+    frame = create_photon_hit_with_gaussian_distribution(mean, covariance_matrix, data_points)
+    cluster = create_2x2cluster_from_frame(frame, pixels_per_superpixel)
+
+    clustervec = ClusterVector_Cluster2x2d()
+    clustervec.push_back(cluster)
+
+    interpolated_photon = interpolation.interpolate(clustervec)
+
+    assert interpolated_photon.size == 1
+
+    cluster_center = 1.5*pixels_per_superpixel*pixel_width
+
+    scaled_photon_hit = photon_hit_in_euclidean_space(cluster_center, pixels_per_superpixel, interpolated_photon)
+
+    assert (np.linalg.norm(scaled_photon_hit - mean) < np.linalg.norm(np.array([cluster_center, cluster_center] - mean)))
+
+
+@pytest.mark.withdata
+def test_interpolation_of_3x3_cluster(test_data_path): 
+    """Test Interpolation of 3x3 Cluster from Photon hit with Gaussian Distribution""" 
+
+    #TODO maybe better to compute in test instead of loading - depends on eta 
+    """ 
+    filename = test_data_path/"eta_distributions"/"eta_distribution_3x3cluster_gaussian.pkl"
+    with open(filename, "rb") as f:
+        eta_distribution = pickle.load(f)
+    """
+
+    num_frames = 1000
+    pixels_per_superpixel = int(num_pixels/3)
+    random_number_generator = np.random.default_rng(42)
+    eta_distribution = calculate_eta_distribution(num_frames, pixels_per_superpixel, random_number_generator, False)
+
+    interpolation = Interpolator(eta_distribution, eta_distribution.axes[0].edges[:-1], eta_distribution.axes[1].edges[:-1], eta_distribution.axes[2].edges[:-1])
+
+    #actual photon hit
+    mean = 1.2*pixels_per_superpixel*pixel_width
+    mean = np.array([mean, mean])
+    frame = create_photon_hit_with_gaussian_distribution(mean, covariance_matrix, data_points)
+    cluster = create_3x3cluster_from_frame(frame, pixels_per_superpixel)
+
+    clustervec = ClusterVector_Cluster3x3d()
+    clustervec.push_back(cluster)
+
+    interpolated_photon = interpolation.interpolate(clustervec)
+
+    assert interpolated_photon.size == 1
+
+    cluster_center = 1.5*pixels_per_superpixel*pixel_width
+
+    scaled_photon_hit = photon_hit_in_euclidean_space(cluster_center, pixels_per_superpixel, interpolated_photon)
+
+    assert (np.linalg.norm(scaled_photon_hit - mean) < np.linalg.norm(np.array([cluster_center, cluster_center] - mean)))
+

src/ClusterFile.test.cpp

@@ -279,7 +279,8 @@ TEST_CASE("Read cluster from multiple frame file", "[.with-data]") {
     }
 }
 
-TEST_CASE("Write cluster with potential padding", "[.with-data][.ClusterFile]") {
+TEST_CASE("Write cluster with potential padding",
+          "[.with-data][.ClusterFile]") {
 
     using ClusterType = Cluster<double, 3, 3>;
 
@@ -290,7 +291,7 @@ TEST_CASE("Write cluster with potential padding", "[.with-data][.ClusterFile]")
     ClusterFile<ClusterType> file(fpath, 1000, "w");
 
     ClusterVector<ClusterType> clustervec(2);
-    int16_t coordinate = 5;
+    uint16_t coordinate = 5;
     clustervec.push_back(ClusterType{
         coordinate, coordinate, {0., 0., 0., 0., 0., 0., 0., 0., 0.}});
     clustervec.push_back(ClusterType{

src/RawFile.test.cpp

@@ -99,7 +99,8 @@ TEST_CASE("Read data from a jungfrau 500k single port raw file",
 }
 
 TEST_CASE("Read frame numbers from a raw file", "[.with-data]") {
-    auto fpath = test_data_path() / "raw/eiger" / "eiger_500k_16bit_master_0.json";
+    auto fpath =
+        test_data_path() / "raw/eiger" / "eiger_500k_16bit_master_0.json";
     REQUIRE(std::filesystem::exists(fpath));
 
     // we know this file has 3 frames with frame numbers 14, 15, 16
@@ -288,8 +289,7 @@ TEST_CASE("check find_geometry", "[.with-data]") {
     }
 }
 
-TEST_CASE("Open multi module file with ROI",
-          "[.with-data]") {
+TEST_CASE("Open multi module file with ROI", "[.with-data]") {
 
     auto fpath = test_data_path() / "raw/SingleChipROI/Data_master_0.json";
     REQUIRE(std::filesystem::exists(fpath));

src/RawMasterFile.cpp

@@ -64,6 +64,12 @@ const std::string &RawFileNameComponents::base_name() const {
 const std::string &RawFileNameComponents::ext() const { return m_ext; }
 int RawFileNameComponents::file_index() const { return m_file_index; }
 
+ScanParameters::ScanParameters(const bool enabled, const DACIndex dac,
+                               const int start, const int stop, const int step,
+                               const int64_t settleTime)
+    : m_enabled(enabled), m_dac(dac), m_start(start), m_stop(stop),
+      m_step(step), m_settleTime(settleTime){};
+
 // "[enabled\ndac dac 4\nstart 500\nstop 2200\nstep 5\nsettleTime 100us\n]"
 ScanParameters::ScanParameters(const std::string &par) {
     std::istringstream iss(par.substr(1, par.size() - 2));
@@ -72,7 +78,7 @@ ScanParameters::ScanParameters(const std::string &par) {
         if (line == "enabled") {
             m_enabled = true;
         } else if (line.find("dac") != std::string::npos) {
-            m_dac = line.substr(4);
+            m_dac = StringTo<DACIndex>(line.substr(4));
         } else if (line.find("start") != std::string::npos) {
             m_start = std::stoi(line.substr(6));
         } else if (line.find("stop") != std::string::npos) {
@@ -87,8 +93,9 @@ int ScanParameters::start() const { return m_start; }
 int ScanParameters::stop() const { return m_stop; }
 void ScanParameters::increment_stop() { m_stop += 1; }
 int ScanParameters::step() const { return m_step; }
-const std::string &ScanParameters::dac() const { return m_dac; }
+DACIndex ScanParameters::dac() const { return m_dac; }
 bool ScanParameters::enabled() const { return m_enabled; }
+int64_t ScanParameters::settleTime() const { return m_settleTime; }
 
 RawMasterFile::RawMasterFile(const std::filesystem::path &fpath)
     : m_fnc(fpath) {
@@ -170,6 +177,7 @@ void RawMasterFile::parse_json(const std::filesystem::path &fpath) {
     std::ifstream ifs(fpath);
     json j;
     ifs >> j;
+
     double v = j["Version"];
     m_version = fmt::format("{:.1f}", v);
 
@@ -181,7 +189,9 @@ void RawMasterFile::parse_json(const std::filesystem::path &fpath) {
         j["Geometry"]["x"]}; // TODO: isnt it only available for version > 7.1?
                              // - try block default should be 1x1
 
-    m_image_size_in_bytes = j["Image Size in bytes"];
+    m_image_size_in_bytes =
+        v < 8.0 ? j["Image Size in bytes"] : j["Image Size"];
+
     m_frames_in_file = j["Frames in File"];
     m_pixels_y = j["Pixels"]["y"];
     m_pixels_x = j["Pixels"]["x"];
@@ -206,7 +216,6 @@ void RawMasterFile::parse_json(const std::filesystem::path &fpath) {
     } catch (const json::out_of_range &e) {
         // keep the optional empty
     }
-
     // ----------------------------------------------------------------
     // Special treatment of analog flag because of Moench03
     try {
@@ -227,7 +236,6 @@ void RawMasterFile::parse_json(const std::filesystem::path &fpath) {
         m_analog_flag = 0;
     }
     //-----------------------------------------------------------------
-
     try {
         m_quad = j.at("Quad");
     } catch (const json::out_of_range &e) {
@@ -239,7 +247,6 @@ void RawMasterFile::parse_json(const std::filesystem::path &fpath) {
     // }catch (const json::out_of_range &e) {
     //     m_adc_mask = 0;
     // }
-
     try {
         int digital_flag = j.at("Digital Flag");
         if (digital_flag) {
@@ -248,7 +255,6 @@ void RawMasterFile::parse_json(const std::filesystem::path &fpath) {
     } catch (const json::out_of_range &e) {
         // keep the optional empty
     }
-
     try {
         m_transceiver_flag = j.at("Transceiver Flag");
         if (m_transceiver_flag) {
@@ -257,10 +263,20 @@ void RawMasterFile::parse_json(const std::filesystem::path &fpath) {
     } catch (const json::out_of_range &e) {
         // keep the optional empty
     }
-
     try {
+        if (v < 8.0) {
             std::string scan_parameters = j.at("Scan Parameters");
             m_scan_parameters = ScanParameters(scan_parameters);
+        } else {
+            auto json_obj = j.at("Scan Parameters");
+            m_scan_parameters = ScanParameters(
+                json_obj.at("enable").get<int>(),
+                static_cast<DACIndex>(json_obj.at("dacInd").get<int>()),
+                json_obj.at("start offset").get<int>(),
+                json_obj.at("stop offset").get<int>(),
+                json_obj.at("step size").get<int>(),
+                json_obj.at("dac settle time ns").get<int>());
+        }
         if (v < 7.21) {
             m_scan_parameters
                 .increment_stop(); // adjust for endpoint being included
@@ -268,6 +284,7 @@ void RawMasterFile::parse_json(const std::filesystem::path &fpath) {
     } catch (const json::out_of_range &e) {
         // not a scan
     }
+
     try {
         m_udp_interfaces_per_module = {j.at("Number of UDP Interfaces"), 1};
     } catch (const json::out_of_range &e) {
@@ -277,35 +294,36 @@ void RawMasterFile::parse_json(const std::filesystem::path &fpath) {
             m_udp_interfaces_per_module = {1, 2};
         }
     }
-
     try {
         ROI tmp_roi;
+        if (v < 8.0) {
             auto obj = j.at("Receiver Roi");
             tmp_roi.xmin = obj.at("xmin");
             tmp_roi.xmax = obj.at("xmax");
             tmp_roi.ymin = obj.at("ymin");
             tmp_roi.ymax = obj.at("ymax");
+        } else {
+            // TODO: for now only handle single ROI
+            auto obj = j.at("Receiver Rois");
+            tmp_roi.xmin = obj[0].at("xmin");
+            tmp_roi.xmax = obj[0].at("xmax");
+            tmp_roi.ymin = obj[0].at("ymin");
+            tmp_roi.ymax = obj[0].at("ymax");
+        }
 
         // if any of the values are set update the roi
         if (tmp_roi.xmin != 4294967295 || tmp_roi.xmax != 4294967295 ||
             tmp_roi.ymin != 4294967295 || tmp_roi.ymax != 4294967295) {
-
-            if (v < 7.21) {
-                tmp_roi.xmax++; // why is it updated
+            tmp_roi.xmax++;
             tmp_roi.ymax++;
-            }
             m_roi = tmp_roi;
         }
 
     } catch (const json::out_of_range &e) {
-        std::cout << e.what() << std::endl;
+        LOG(TLogLevel::logERROR) << e.what() << std::endl;
         // leave the optional empty
     }
 
-    // if we have an roi we need to update the geometry for the subfiles
-    if (m_roi) {
-    }
-
 // Update detector type for Moench
 // TODO! How does this work with old .raw master files?
 #ifdef AARE_VERBOSE

src/RawMasterFile.test.cpp

@@ -51,7 +51,7 @@ TEST_CASE("Parse scan parameters") {
     ScanParameters s("[enabled\ndac dac 4\nstart 500\nstop 2200\nstep "
                      "5\nsettleTime 100us\n]");
     REQUIRE(s.enabled());
-    REQUIRE(s.dac() == "dac 4");
+    REQUIRE(s.dac() == DACIndex::DAC_4);
     REQUIRE(s.start() == 500);
     REQUIRE(s.stop() == 2200);
     REQUIRE(s.step() == 5);
@@ -60,7 +60,7 @@ TEST_CASE("Parse scan parameters") {
 TEST_CASE("A disabled scan") {
     ScanParameters s("[disabled]");
     REQUIRE_FALSE(s.enabled());
-    REQUIRE(s.dac() == "");
+    REQUIRE(s.dac() == DACIndex::DAC_0);
     REQUIRE(s.start() == 0);
     REQUIRE(s.stop() == 0);
     REQUIRE(s.step() == 0);
@@ -68,7 +68,7 @@ TEST_CASE("A disabled scan") {
 
 TEST_CASE("Parse a master file in .json format", "[.integration]") {
     auto fpath =
-        test_data_path() / "jungfrau" / "jungfrau_single_master_0.json";
+        test_data_path() / "raw" / "jungfrau" / "jungfrau_single_master_0.json";
     REQUIRE(std::filesystem::exists(fpath));
     RawMasterFile f(fpath);
 
@@ -224,6 +224,41 @@ TEST_CASE("Parse a master file in .raw format", "[.integration]") {
     // Packets Caught Mask        : 64 bytes
 }
 
+TEST_CASE("Parse a master file in new .json format",
+          "[.integration][.width-data]") {
+
+    auto file_path =
+        test_data_path() / "raw" / "newmythen03" / "run_87_master_0.json";
+    REQUIRE(std::filesystem::exists(file_path));
+
+    RawMasterFile f(file_path);
+
+    // Version                    : 8.0
+    REQUIRE(f.version() == "8.0");
+
+    REQUIRE(f.detector_type() == DetectorType::Mythen3);
+    // Timing Mode                : auto
+    REQUIRE(f.timing_mode() == TimingMode::Auto);
+    // Geometry                   : [2, 1]
+    REQUIRE(f.geometry().col == 2);
+    REQUIRE(f.geometry().row == 1);
+    // Image Size                 : 5120 bytes
+    REQUIRE(f.image_size_in_bytes() == 5120);
+
+    REQUIRE(f.scan_parameters().enabled() == false);
+    REQUIRE(f.scan_parameters().dac() == DACIndex::DAC_0);
+    REQUIRE(f.scan_parameters().start() == 0);
+    REQUIRE(f.scan_parameters().stop() == 0);
+    REQUIRE(f.scan_parameters().step() == 0);
+    REQUIRE(f.scan_parameters().settleTime() == 0);
+
+    auto roi = f.roi().value();
+    REQUIRE(roi.xmin == 0);
+    REQUIRE(roi.xmax == 2559);
+    REQUIRE(roi.ymin == -1);
+    REQUIRE(roi.ymax == -1);
+}
+
 TEST_CASE("Read eiger master file", "[.integration]") {
     auto fpath = test_data_path() / "eiger" / "eiger_500k_32bit_master_0.json";
     REQUIRE(std::filesystem::exists(fpath));

src/defs.cpp

@@ -115,4 +115,186 @@ template <> FrameDiscardPolicy StringTo(const std::string &arg) {
 
 // template <> TimingMode StringTo<TimingMode>(std::string mode);
 
+template <> DACIndex StringTo(const std::string &arg) {
+    if (arg == "dac 0")
+        return DACIndex::DAC_0;
+    else if (arg == "dac 1")
+        return DACIndex::DAC_1;
+    else if (arg == "dac 2")
+        return DACIndex::DAC_2;
+    else if (arg == "dac 3")
+        return DACIndex::DAC_3;
+    else if (arg == "dac 4")
+        return DACIndex::DAC_4;
+    else if (arg == "dac 5")
+        return DACIndex::DAC_5;
+    else if (arg == "dac 6")
+        return DACIndex::DAC_6;
+    else if (arg == "dac 7")
+        return DACIndex::DAC_7;
+    else if (arg == "dac 8")
+        return DACIndex::DAC_8;
+    else if (arg == "dac 9")
+        return DACIndex::DAC_9;
+    else if (arg == "dac 10")
+        return DACIndex::DAC_10;
+    else if (arg == "dac 11")
+        return DACIndex::DAC_11;
+    else if (arg == "dac 12")
+        return DACIndex::DAC_12;
+    else if (arg == "dac 13")
+        return DACIndex::DAC_13;
+    else if (arg == "dac 14")
+        return DACIndex::DAC_14;
+    else if (arg == "dac 15")
+        return DACIndex::DAC_15;
+    else if (arg == "dac 16")
+        return DACIndex::DAC_16;
+    else if (arg == "dac 17")
+        return DACIndex::DAC_17;
+    else if (arg == "vsvp")
+        return DACIndex::VSVP;
+    else if (arg == "vtrim")
+        return DACIndex::VTRIM;
+    else if (arg == "vrpreamp")
+        return DACIndex::VRPREAMP;
+    else if (arg == "vrshaper")
+        return DACIndex::VRSHAPER;
+    else if (arg == "vsvn")
+        return DACIndex::VSVN;
+    else if (arg == "vtgstv")
+        return DACIndex::VTGSTV;
+    else if (arg == "vcmp_ll")
+        return DACIndex::VCMP_LL;
+    else if (arg == "vcmp_lr")
+        return DACIndex::VCMP_LR;
+    else if (arg == "vcal")
+        return DACIndex::VCAL;
+    else if (arg == "vcmp_rl")
+        return DACIndex::VCMP_RL;
+    else if (arg == "rxb_rb")
+        return DACIndex::RXB_RB;
+    else if (arg == "rxb_lb")
+        return DACIndex::RXB_LB;
+    else if (arg == "vcmp_rr")
+        return DACIndex::VCMP_RR;
+    else if (arg == "vcp")
+        return DACIndex::VCP;
+    else if (arg == "vcn")
+        return DACIndex::VCN;
+    else if (arg == "vishaper")
+        return DACIndex::VISHAPER;
+    else if (arg == "vthreshold")
+        return DACIndex::VTHRESHOLD;
+    else if (arg == "vref_ds")
+        return DACIndex::VREF_DS;
+    else if (arg == "vout_cm")
+        return DACIndex::VOUT_CM;
+    else if (arg == "vin_cm")
+        return DACIndex::VIN_CM;
+    else if (arg == "vref_comp")
+        return DACIndex::VREF_COMP;
+    else if (arg == "vb_comp")
+        return DACIndex::VB_COMP;
+    else if (arg == "vdd_prot")
+        return DACIndex::VDD_PROT;
+    else if (arg == "vin_com")
+        return DACIndex::VIN_COM;
+    else if (arg == "vref_prech")
+        return DACIndex::VREF_PRECH;
+    else if (arg == "vb_pixbuf")
+        return DACIndex::VB_PIXBUF;
+    else if (arg == "vb_ds")
+        return DACIndex::VB_DS;
+    else if (arg == "vref_h_adc")
+        return DACIndex::VREF_H_ADC;
+    else if (arg == "vb_comp_fe")
+        return DACIndex::VB_COMP_FE;
+    else if (arg == "vb_comp_adc")
+        return DACIndex::VB_COMP_ADC;
+    else if (arg == "vcom_cds")
+        return DACIndex::VCOM_CDS;
+    else if (arg == "vref_rstore")
+        return DACIndex::VREF_RSTORE;
+    else if (arg == "vb_opa_1st")
+        return DACIndex::VB_OPA_1ST;
+    else if (arg == "vref_comp_fe")
+        return DACIndex::VREF_COMP_FE;
+    else if (arg == "vcom_adc1")
+        return DACIndex::VCOM_ADC1;
+    else if (arg == "vref_l_adc")
+        return DACIndex::VREF_L_ADC;
+    else if (arg == "vref_cds")
+        return DACIndex::VREF_CDS;
+    else if (arg == "vb_cs")
+        return DACIndex::VB_CS;
+    else if (arg == "vb_opa_fd")
+        return DACIndex::VB_OPA_FD;
+    else if (arg == "vcom_adc2")
+        return DACIndex::VCOM_ADC2;
+    else if (arg == "vcassh")
+        return DACIndex::VCASSH;
+    else if (arg == "vth2")
+        return DACIndex::VTH2;
+    else if (arg == "vrshaper_n")
+        return DACIndex::VRSHAPER_N;
+    else if (arg == "vipre_out")
+        return DACIndex::VIPRE_OUT;
+    else if (arg == "vth3")
+        return DACIndex::VTH3;
+    else if (arg == "vth1")
+        return DACIndex::VTH1;
+    else if (arg == "vicin")
+        return DACIndex::VICIN;
+    else if (arg == "vcas")
+        return DACIndex::VCAS;
+    else if (arg == "vcal_n")
+        return DACIndex::VCAL_N;
+    else if (arg == "vipre")
+        return DACIndex::VIPRE;
+    else if (arg == "vcal_p")
+        return DACIndex::VCAL_P;
+    else if (arg == "vdcsh")
+        return DACIndex::VDCSH;
+    else if (arg == "vbp_colbuf")
+        return DACIndex::VBP_COLBUF;
+    else if (arg == "vb_sda")
+        return DACIndex::VB_SDA;
+    else if (arg == "vcasc_sfp")
+        return DACIndex::VCASC_SFP;
+    else if (arg == "vipre_cds")
+        return DACIndex::VIPRE_CDS;
+    else if (arg == "ibias_sfp")
+        return DACIndex::IBIAS_SFP;
+    else if (arg == "trimbits")
+        return DACIndex::TRIMBIT_SCAN;
+    else if (arg == "highvoltage")
+        return DACIndex::HIGH_VOLTAGE;
+    else if (arg == "iodelay")
+        return DACIndex::IO_DELAY;
+    else if (arg == "temp_adc")
+        return DACIndex::TEMPERATURE_ADC;
+    else if (arg == "temp_fpga")
+        return DACIndex::TEMPERATURE_FPGA;
+    else if (arg == "temp_fpgaext")
+        return DACIndex::TEMPERATURE_FPGAEXT;
+    else if (arg == "temp_10ge")
+        return DACIndex::TEMPERATURE_10GE;
+    else if (arg == "temp_dcdc")
+        return DACIndex::TEMPERATURE_DCDC;
+    else if (arg == "temp_sodl")
+        return DACIndex::TEMPERATURE_SODL;
+    else if (arg == "temp_sodr")
+        return DACIndex::TEMPERATURE_SODR;
+    else if (arg == "temp_fpgafl")
+        return DACIndex::TEMPERATURE_FPGA2;
+    else if (arg == "temp_fpgafr")
+        return DACIndex::TEMPERATURE_FPGA3;
+    else if (arg == "temp_slowadc")
+        return DACIndex::SLOW_ADC_TEMP;
+    else
+        throw std::invalid_argument("Could not decode DACIndex from: \"" + arg +
+                                    "\"");
+}
+
 } // namespace aare