The silicon strip sensors for the Micro Vertex Detector (MVD) of the PANDA experiment must provide both the Time of Arrival (ToA) and the charge released by the crossing particle. In order to cope with these requirements a 64-channel dedicated ASIC, named ToASt, has been designed and extensively tested. Each channel includes a charge-sensitive amplifier, a current mode shaper, a linear Time over Threshold (ToT) stage and double threshold discrimination. The ToA and ToT are obtained by storing the value of a 12-bit time stamp at the two edges of the comparator. The two values are immediately readout by a digital interface, formatted in 32-bit words and transmitted, via two 160 MS/s serial links.The ToASt ASIC is designed in a commercial CMOS 110 nm technology. Its digital logic has been triplicated in order to improve its Single-Event Upset (SEU) protection.

The Micro-Vertex Detector (MVD) is the innermost subdetector of the PANDA (anti Proton ANnihilations at DArmstadt) detector at FAIR. Its microstrip sensors are read out by custom front-end electronics called ToASt (Torino ASIC for Strip readout) [1]. The ToASt chips are locally managed by an MDC (Module Data Concentrator) [2]. The MDC processes incoming event and forwards them to the off-detector readout cards based on the AMC (Advanced Mezzanine Card) standard. Both the MDC and the AMC readout card are currently under development at KIT The complete readout chain, including the double-sided microstrip sensor read by the ToASt chips and the FPGA implementation of the MDC, was successfully tested during a 2023 beam test COSY (Forschungszentrum J & uuml;lich). This proof-of-concept validation of the MDC logic paves way for the forthcoming ASIC version of the MDC, which is planned for submission in February 2025. Extensive performance characterization of the current readout chain has been achieved with MDC-FPGA optically connected to an AMD-Xilinx ZCU102 evaluation card [4], which emulates the AMC off-detector card, through a Versatile Link+ Demo Board (VLDB+) [5]. This contribution presents the MDC-ASIC design, its integration with both the front-end and back-end electronics the performance results of the complete readout chain.

Accurate clock and time distribution is a key requirement for self -triggered streaming data acquisition in the CBM experiment. This distribution is handled by the Timing and Fast Control (TFC) system by clock forwarding and broadcasting the common time over latency -deterministic optical links in a hierarchical FPGA network. The point-to-point optical connections are served by the latency -optimized GBT-FPGA core, which has been developed at CERN. In the presented work, the performance of GBT-FPGA links for time and clock distribution in a scaled TFC system with multiple hops and endpoints has been investigated.

The PANDA (antiProton ANnihilation at DArmstadt) experiment will study the strong interaction in annihilation reactions between an antiproton beam and a stationary cluster jet target. The PANDA detector will be composed of several sub -detectors designed for tracking, particle identification and calorimetry. The Micro -Vertex Detector (MVD) is the innermost part of the tracking system surrounding the interaction region, which is designed for precise vertex and tracking detection. It consists of silicon pixel and double -sided microstrip detectors. For the readout of the microstrip sensors an ASIC called ToASt (Torino Asic for Strip readout) is being developed in 0.11 mu m CMOS technology

Timing and Fast Control (TFC) system for the Compressed Baryonic Matter (CBM) experiment is being developed with focus on low and deterministic data transmission latency. This helps to minimize data corruption in the free-streaming Data Acquisition (DAQ) system during occasional data bursts caused by the expected beam intensity fluctuations. Proven in latency-optimized experimental data transport applications, the GBT-FPGA core is expected to positively contribute to the TFC system performance. In this work, the core has been integrated as the primary communication interface and its effect on transmission latency and quality of time distribution has been evaluated.

The Compressed Baryonic Matter (CBM) experiment is designed to handle interaction rates of up to 10 MHz and up to 1 TB/s of raw data generated. With triggerless streaming data acquisition in the experiment and beam intensity fluctuations, it is expected that occasional data bursts will surpass bandwidth capabilities of the Data Acquisition System (DAQ) system. In order to preserve integrity of event data, the bandwidth of DAQ must be throttled in an organised way with minimum information loss. The Timing and Fast Control (TFC) system provides a latency-optimised datapath for throttling commands and distributes a system clock together with a global timestamp. This paper describes a prototype design of the system with focus on synchronisation and its evaluation.

Baryonic Matter at Nuclotron (BM@N) is a fixed target experiment at the NICA accelerator complex (JINR) aiming at studies of nuclear matter in relativistic heavy ion collisions. Triple-GEM (Gas electron multiplier) detectors have been identified as suitable for the BM@N central tracking system, which is located inside the analyzing magnet. A cathode strip chamber (CSC) is mounted outside the magnet to improve the momentum resolution of the experimental setup. Seven GEM detectors and one CSC are integrated into the BM@N experimental setup and data acquisition system. The structure of the BM@N GEM and CSC detectors and the results of the study of their characteristics are presented. The full configuration of the GEM/CSC tracking system is shortly reviewed.

BM@N (Baryonic Matter at the Nuclotron) is a fixed target experiment aimed to study nuclear matter in the relativistic heavy-ion collisions at the Nuclotron accelerator in JINR. The BM@N tracking system is based on Gas Electron Multipliers (GEM) detectors mounted inside the BM@N analyzing magnet. The Cathode Strip Chamber (CSC) is installed outside the magnet. The CSC is used for improvement of particles momentum identification. The structure of the GEM detectors and the CSC prototype and the results of study of their characteristics are presented. The GEM detectors and CSC are integrated into the BM@N experimental setup and data acquisition system. The results of first tests of the GEM tracking system and CSC in last runs are shortly reviewed.