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SeaBreeze is a device driver library that provides an interface to select Ocean Optics spectrometers. It is written in C/C++ and builds and runs on Windows (XP/7/8), MacOSX, and Linux (x86/x64/ARM).

...Contact: francoisgmeot@gmail.com Documentation (History of accelerators that zgoubi deals with, theory, tutorials): https://link.springer.com/book/10.1007/978-3-031-59979-8 https://link.springer.com/book/10.1007/978-3-031-16715-7, Chap. 14.

The library provides an implementation of dimensioned values for Ada. Unit checks are made at run-time, if not optimized out by the compiler. SI and irregular measurement units are supported. Shifted units like degrees Celsius are supported too. Conversions from and back to strings are provided for all various irregular units. An extensive set of GTK widgets for dealing with dimensioned values is included, though use of GTK is not mandatory for the rest of the library.

MaxFem is an open software package for electromagnetic simulation by using finite element methods. The package can solve problems in electrostatics, direct current, magnetostatics and eddy-currents. Since version 0.4.0, MaxFEM requires Python 3. We have moved the installers to the MaxFEM website (see below). In order to improve MaxFEM, we will require you to fill out a simple form before downloading them.

ACCORD is a C library for composition of scanning electron or helium-ion microscope images with correction of drift. It produces significantly more accurate images than the traditional imaging techniques and also provides drift trajectories.

Keywords (XNDiff): -SAXS -SANS -absolute units -core (double)shell crystalline nanoparticles -with a parallelepidal shape -particle assemblies -powder and ensemble average -C/C++ -Unix -OpenMP -HPC Cluster Keywords (BatchMultiFit): -simultaneous fits for several SAXS and SANS curves with simulation data from XNDiff -SANS data can be smeared with dq values from experimental data sets or analytical functions -Mathematica console -local and global optimizers (simulated annealing, differential evolution, Nelder-Mead, ...) can be used -range for fit parameters and further constraints between fit parameters -parallelized (typ. 4-8 threads) TODO (BatchMultiFit): -read and use errorbars from experimental data sets -allow different q-ranges for different data sets in the fits -rewrite and test in Python using e.g. the lmfit module: https://pypi.python.org/pypi/lmfit/ to get rid of Mathematica and to run it on HPC clusters