Implements a GPU version of the sequential ClusterFinder for
single-frame cluster reconstrcution.
Kernel (ClusterFinderCUDA.cuh):
- Shared memory tiling with generalized halo loading for arbitrary
cluster sizes (3x3, 5x5, ...)
- Zero-initialization of shared memory to handle image boundary
and partial edge-block cases.
- Pedestal subtraction during shared memory loading.
- Compile-time cluster geometry enabling full loop unrolling
of the stencil reduction
- Atomic global counter for lock-free cluster output across blocks.
- RAII host wrapper; `ClusterFinderCUDA` struct.
## Unified Minuit2 fitting framework with FitModel API
### Models (`Models.hpp`)
Consolidate all model structs (Gaussian, RisingScurve, FallingScurve)
into a
single header. Each model provides: `eval`, `eval_and_grad`, `is_valid`,
`estimate_par`, `compute_steps`, and `param_info` metadata. No Minuit2
dependency.
### Chi2 functors (`Chi2.hpp`)
Generic `Chi2Model1DGrad` (analytic gradient) templated on the model
struct.
Replaces the separate Chi2Gaussian, Chi2GaussianGradient,
Chi2Scurves, and Chi2ScurvesGradient headers.
### FitModel (`FitModel.hpp`)
Configuration object wrapping `MnUserParameters`, strategy, tolerance,
and
user-override tracking. User constraints (fixed parameters, start
values, limits)
always take precedence over automatic data-driven estimates.
### Fit functions (`Fit.hpp`)
- `fit_pixel<Model, FCN>(model, x, y, y_err)` -> single-pixel,
self-contained
- `fit_pixel<Model, FCN>(model, upar_local, x, y, y_err)` -> pre-cloned
upar for hot loops
- `fit_3d<Model, FCN>(model, x, y, y_err, ..., n_threads)` ->
row-parallel over pixel grid
### Python bindings
- `Pol1`, `Pol2`, `Gaussian`, `RisingScurve`, `FallingScurve` model
classes with
`FixParameter`, `SetParLimits`, `SetParameter`, and properties for
`max_calls`, `tolerance`, `compute_errors`
- Single `fit(model, x, y, y_err, n_threads)` dispatch replacing the old
`fit_gaus_minuit`, `fit_gaus_minuit_grad`, `fit_scurve_minuit_grad`,
etc.
### Benchmarks
- Updated `fit_benchmark.cpp` (Google Benchmark) to use the new FitModel
API
- Jupyter notebooks for 1D and 3D S-curve fitting (lmfit vs Minuit2
analytic)
- ~1.8x speedup over lmfit, near-linear thread scaling up to physical
core count
---------
Co-authored-by: Erik Fröjdh <erik.frojdh@psi.ch>
- Fixed failing conda builds (numpy >=2.1 and added pytest-check)
- added cibuildwheel settings for osx
- Bumped cibuildwheel to 3.4.0 in pipeline
- build also for macos-latest
- fixed conda workflow which was only on developer branch (now main and
pr to main)
Matterhorn10 Transform
some other Transformations from pyctbGUI
added method get_reading_mode for easier error handling in decoders
## TODO:
- proper error handling for all other decoders
- proper documentation for all other decoders
- refactoring all other decoders to store hard coded values in a Struct
ChipSpecification
Reading multiple ROI's for aare
- read_frame, read_n etc throws for multiple ROIs
- new functions read_ROIs, read_n_ROIs
- read_roi_into (used for python bindings - to not copy)
all these functions use get_frame or get_frame_into where one passes the
roi_index
## Refactoring:
- each roi keeps track of its subfiles that one has to open e.g.
subfiles can be opened several times
- refactored class DetectorGeometry - keep track of the updated module
geometries in new class ROIGeometry.
- ModuleGeometry updates based on ROI
## ROIGeometry:
- stores number of modules overlapping with ROI and its indices
- size of ROI
Note: only tested size of the resulting frames not the actual values
---------
Co-authored-by: Erik Fröjdh <erik.frojdh@psi.ch>
Co-authored-by: Erik Fröjdh <erik.frojdh@gmail.com>
File content is the same as the normal ctb files so no changes needed
for reading.
- Accept DetectorType::Xilinx_ChipTestBoard in the CtbRawFile class
- Check if file is open in constructor
Directly casting the values in the cluster finder would truncate the
resulting ADU value and create an offset when summing the cluster.
1. do pedestal subtraction and then round
2. static cast to result type only after rounding
3. if constexpr to avoid unnecessary rounding
- automatically run python tests
- automatically run test using data files on local runner from gitea
- fixed some of the workflows
---------
Co-authored-by: Erik Fröjdh <erik.frojdh@psi.ch>
Issue from Jonathan.
- writing to output queue did not check if queue is full - such that
frames were dropped.
## Dataset to recreata issue:
data overf 10G interface can be accessed on pc: pc-highz-02
raw frames:
/mnt/sls_det_storage_10G/highZ_data/JMulvey/Calibration_From_HZ02/2025Jan_m343/Zr15800eV/250129_CZTsolo_Xray_Tp_15C_tint_100_master_0.json
pedestal frames:
/mnt/sls_det_storage_10G/highZ_data/JMulvey/Calibration_From_HZ02/2025Jan_m343/Zr15800eV/250129_CZTsolo_Pedestal_Tp_15C_tint_100_master_0.json
---------
Co-authored-by: Erik Fröjdh <erik.frojdh@psi.ch>
- Removed redundant arr.value(ix,iy...) on NDArray use arr(ix,iy...)
- Removed Print/Print_some/Print_all form NDArray (operator << still
works)
- Added const* version of .data()
- Comment for documentation
- Some extra tests
- New aare:to_string/string_to similar to what we have in
slsDetectorPackage
- Added members period and exptime to RawMasterFile
- Parsing exposure time and period for json and raw master file formats
- Parsing of RawMasterFile from string stream to enable test without
files
Comments:
- to_string is at the moment not a public header. Can make it later if
needed. This gives us full freedom with the API
- FileConfig should probably be deprecated need to look into it.
Meanwhile removed python bindings and string conv
This PR adds support for decoding digital data from the my320 test chip.
- Added BitOffset (strong type)
- Expand 24 to 32 bit
- Python bindings for decoding my302
- Improved docs
- added rosenblatttransform
- added 3x3 eta methods
- interpolation can be used with various eta functions
- added documentation for interpolation, eta calculation
- exposed full eta struct in python
- disable ClusterFinder for 2x2 clusters
- factory function for ClusterVector
---------
Co-authored-by: Dhanya Thattil <dhanya.thattil@psi.ch>
Co-authored-by: Erik Fröjdh <erik.frojdh@psi.ch>
Khalil Daniel Ferjaoui
mazzol_a
hinger_v