The DIALS software is developed in a fully open-source, collaborative
environment. The main development teams are based at Diamond Light
Source and CCP4, in the UK, and at Lawrence Berkeley National
Laboratory, USA. However, in the spirit of the open source movement,
we welcome collaboration from anyone who wishes to contribute to the
project.
.
To avoid “reinventing the wheel” as much as possible, the DIALS
project builds on knowledge accumulated over many decades in the
field of crystallographic data processing. We benefit greatly from
the altruism of experts who contribute their ideas and advice, either
directly or via their detailed publications on existing algorithms
and packages such as XDS [2] and MOSFLM [3]. At the heart of the
DIALS framework lies a design philosophy of hardware abstraction and
a generalised model of the experiment that is inspired directly by
material published on the seminal workshops on position sensitive
detector software [1]. Continuing in the spirit of these workshops we
held our own series of meetings, with talks from invited speakers,
and code camps in which specific problems are addressed by intensive
effort across the collaboration. Summaries of these meetings and
copies of slides given as presentations are available here.
.
DIALS is written using Python and C++, making heavy use of the cctbx
[4] for core crystallographic calculations and much infrastructure
including a complete build system. Seamless interaction between the
C++ and Python components of this hybrid system is enabled by
Boost.Python. Python provides a useful ground for rapid prototyping,
after which core algorithms and data structures may be transferred
over to C++ for speed. High level interfaces of the hybrid system
remain in Python, facilitating further development and code reuse
both within DIALS and by third parties.
Installed Size: 39.9 kB
Architectures: amd64