With swordfish you can quickly and accurately forecast experimental sensitivities without all the fuss with time-intensive Monte Carlos, mock data generation and likelihood maximization.
With swordfish you can
A large range of experiments in particle physics and astronomy are statistically described by a Poisson point process. The swordfish module implements at its core a rather general version of a Poisson point process, and provides easy access to its information geometrical properties. Based on this information, a number of common and less common tasks can be performed.
Arrow is a high-performance cross-system data layer for columnar in-memory analytics.
Like a file format, it allows data to be transferred between data analysis platforms, but through zero-copy shared memory, rather than files on disk.
As a columnar format, Arrow is suited for native vectorized optimization of analytical data processing.