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It is described the global architecture of a digital pulse processing system for high resolution X-Ray spectroscopy based on single photon detection and photon energy measurement. The core of the system is implemented in a modern hybrid device (Xilinx Zynq) that integrates an FPGA fabric along with a dual core 32-bits processor (ARM Cortex). It is also described the adopted strategy to deal with high input photon rates while preserving a good energy resolution. The digital performance of the system is ultimate determined by few key functional blocks including two finite impulse response filters and an algorithmic state machine. It is presented a numerical procedure to optimize the digital filters according to different constrains and goals, and it is described the analysis of experimental data to obtain the necessary information for the optimization of the system

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Third and fourth generation light sources have revolutionized the research in many scientific and technological disciplines. New scientific challenges impose the construction of cutting-edge performance machines and experimental stations. In this context, off-the-shelf detection systems severely constrain the achievable results. These reasons motivated the ReDSoX research project, aiming to explore new solutions related to energy resolving imagers based on Silicon Drift Detectors (SDD), which are among the most employed acquisition devices in X-ray fluorescence spectroscopy. The main goal of the project is to develop novel versatile detection systems able to cover a large photoemission solid angle, being easily adaptable to the needs of different X-ray spectroscopy beamlines and ready to cope with high photon count-rates in order to exploit all the power of new light sources. Research efforts yielded two detector systems, dedicated to different experimental needs. The first system is composed of 32 SDD elements arranged on 4 monolithic sensors and covers a total non-collimated area of 1230 mm 2. Such device is optimized for detecting low-energy photons in the 200-4000 eV energy range. The second detector consists of a matrix of 64 SDD elements disposed on 8 monolithic arrays covering an overall non-collimated active area of 576 mm 2 and operating over an energy range between 4 and 30 keV. Both systems are highly integrated and can either be operated as an apparent large area single detector or as a multi-element detector, collecting information separately from each single element in order to enable spatially and angularly resolved advanced studies. The performances of the two detector systems have been studied at the TwinMic and XAFS beamlines (Elettra Sincrotrone Trieste, Italy), respectively. Recent results obtained during these measurements are presented and discussed.

Accurate timing in cosmic ray detection is critical for reconstruction of events from multiple scattered detectors. Since most of the detectors dedicated to study cosmic rays generate continuous analog signals, a precise timing depends on the sampling rate and the subsequent triggering system operating on the generated digital data stream. In this paper, a data acquisition platform based on a fully programmable System-On-Chip (SoC) and a high-speed analog to digital converter, able to manage 8-bit data resolution, 500MHz sampling rate and GPS connection for data synchronization is presented. The SoC is a ZYNQ 7000 device with a Field Programmable Gate Array (FPGA) and a dual core ARM processor embedded on a single chip. The system achieves 2 ns time resolution and is also able to increase data amplitude resolution through oversampling and can simultaneously generate a real time histogram of the incoming data. The platform has an embedded high voltage power supply control with temperature and pressure compensation for optimal and stable operation of different detectors. While the time critical activities are handled and carried out by the FPGA, software running on the dual core ARM processor with a real time operating system (FreeRTOS) provides Ethernet connection for remote control of the platform.

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