We will present the work and expertise of the newly established Computational Imaging Group at DESY. Being founded in mathematics, we provide expertise in inverse problems as well as theoretical foundations of machine learning methods.
We give an overview of mathematical methods in imaging and applications thereof, in particular algorithms for reducing computational cost in large scale...
Can laser-induced molecular wave packets be used as a quantum simulator?
We have been using ASAP::O to process data in real time from an Eiger 16M detector, in serial crystallography experiments at P11. The system performs a peak search before indexing and integrating each diffraction pattern, producing Bragg reflection intensity measurements without any need (in principle) to store image data.
Through rounds of performance profiling, we reduced the time taken...
Current femtosecond crystallography data processing routines such as CrystFEL by T. White generally assume that identical molecular structure for each of the tens of thousands of protein crystals used. This assumption is however known to be unphysical, and with the recent development of deep learning technology, we are exploring whether we can build a net capable of shaking out the subtle...
Within this contribution, an overview of the imaging program of the SAXSMAT beamline P62 will be given. Especially, the computational aspects of the 3D reconstruction for the SAXS- and WAXS tensor tomography imaging experiments will be presented. Furthermore, an outlook of upcoming projects that include AI in the reconstruction algorithms will be discussed.
Besides the 3D tomography datasets...
