General presentation of Exploring farther: machines for new knowledge 

As part of the event: " Exploring farther: machines for new knowledge" , presentation of Andreas Lintermann, about Large-scale computing infrastructures and scalable AI technologies

As part of the event: " Exploring farther: machines for new knowledge" , presentation of Cristina Botta, about NextGen

As part of the event: " Exploring farther: machines for new knowledge" , presentation of Mei Bai, Edda Gschwendtner, Mike Seidel, about Advanced particle beam accelerators

As part of the event: " Exploring farther: machines for new knowledge" , presentation of Petra Merkel about Silicon Detectors

As part of the event: " Exploring farther: machines for new knowledge" , presentation of Roxanne Guenette about Understanding our Universe

As part of the event: " Exploring farther: machines for new knowledge" , presentation of Werner Riegler about Particle Detectors

The Upstream Tracker is a novel silicon microstrip detector installed during LHCb Upgrade 1. Since its successful commissioning, it has played a significant role in the experiment's new fully-software trigger system. The efficient performance of the UT detector requires constant monitoring and evaluation of the calibration parameters of over half a million sensors. Here, recent results regarding those parameters will be presented, and a few persisting issues will be addressed. The analysed datasets come from different calibration measurements taken in the second half of 2024. They served as input for extensive studies regarding time evolution and spatial distributions of individual noise components, followed by a comparative analysis for different types of silicon sensors. Additional studies concerned the stability of readout chip configuration registers in terms of single-event upsets. The results that will be discussed show that the Upstream Tracker demonstrates overall stable performance in all analysed calibration parameters. However, several local deviations have been identified, and there is an ongoing effort to minimise their influence on the detector's performance. The strategies for tackling the single-event upset issue will also be mentioned, as well as the prospects for further analysis developments with possible application of unsupervised Machine Learning methods.

The LHCb experiment is a single-arm forward particle detector located at the Large Hadron Collider at CERN. After the Upgrade II, it will run at a luminosity of up to $1.5 \cdot 10^{34} cm^{−2}s^{−1}$ to collect 300 fb$^{-1}$ to collect 300 fb$^{-1}$ of data. A major revision of the LHCb Electromagnetic Calorimeter is required due to the increased particle densities and radiation doses. One option for the central part is a sampling spaghetti calorimeter (SPACAL) comprising radiation-hard crystal scintillators and a Tungsten absorber, whereas a SPACAL with plastic scintillators and Lead absorber is candidate for the outer region. A prototype was assembled with fibres of Cerium-doped YAG and GAGG. This contribution presents the development of the SPACAL prototypes, including scintillators and photodetectors studies, the test beam results, and Monte Carlo simulations identifying the materials requirements in a high-rate environment.

The Scintillating Fibre (SciFi) tracker of LHCb will be operated during LHC Run 3 and 4 in the current LHCb experiment design. Due to the high radiation, detector parts as the scintillating fibres and the Silicon Photo-Multipliers (SiPMs) are aging. The reduced light yield and the increased noise, will decrease the hit detection efficiency. Therefore, the SciFi detector will undergo a major upgrade in the framework of the LHCb Upgrade II, in LS4 to cope with the expected higher delivered luminosity and the consequent increase in radiation damage. We present here the work on the SiPMs in view of the new detector under development. Microlens-enhanced SiPMs will allow to improve photo-detection efficiency. Cryogenic cooling with LN2 will allow to reduce significantly the noise and therefore ensure high hit detection efficiency at increased radiation. Finally, the monitoring of the radiation damage of the current detector is presented which is important to assess the life time of the current detector and to gain information for the final design of the future one.