Transverse $\Lambda$ polarization observed over four decades ago contradicted expectations from early leading-order perturbative QCD calculations. Measurements of $\Lambda$ polarization from unpolarized $pp$ and $p$A collisions have been previously observed to increase as a function of xF and pT up to a few GeV range and approximately independent of beam energy. Recent studies have linked polarization to the process of hadronization, which describes how particular hadrons are formed from scattered quarks and gluons. The high energy of the LHC and the coverage and precision measurement possibilities from LHCb forward geometry are ideal for studying hyperon polarization as a function of both $p_T$ and $x_F$ . The status and prospects of $\Lambda$ and $\Lambda$ polarization measurements in $pp$, $p$Pb, Pb$p$, and fixed-target $p$Ne collisions at LHCb are presented

Investigating particle production in small systems has become instrumental in probing non-perturbative contributions to hadron structure and hadronization mechanisms. The LHCb spectrometer unique geometry at the LHC along with its particle identification and tracking capabilities allow for new studies of the multiplicity-dependent enhancement of strange hadrons in the forward region. Aggregating results of this kind will provide insight into how collective effects modify hadronization, even in proton-proton collisions. In this contribution, recent and upcoming measurements from the LHCb collaboration regarding the relative production rates of strange hadrons as well as how they are modified by event activity will be discussed

Antimatter in cosmic rays is a powerful probe for Dark Matter indirect detection. To constrain the background from secondary antiparticles, produced during cosmic ray propagation through the interstellar medium, the related cross sections need to be precisely determined at accelerator facilities. In particular, being their secondary production suppressed at low energies with respect to DM signal predictions, light anti-nuclei like anti-deuterium and anti-helium are smoking guns for exotic sources. The LHCb experiment currently offers a unique fixed-target facility exploiting the beam energy provided by LHC and can reproduce cosmic collisions between protons at the TeV scale and gas targets of helium. In this poster, we will present the implementation of a new particle identification technique optimized for heavy particles like light nuclei, based on a time-of-flight measurement in the LHCb Outer Tracker detector, with a focus on the first performance results obtained on data. Applications in future analyses will also be discussed.

Owing to its spectrometer acceptance, which is complementary to the other LHC experiments, LHCb is collecting several fixed-target and ion collision samples, providing unique inputs to theoretical models in poorly explored kinematic regions. In this contribution, the impact of the ongoing and foreseen upgrades of the LHCb experiment on the ions and fixed-target physics programme are discussed, notably including the installation of tracking station inside the magnet and the replacement of some tracker detectors to avoid saturation in central lead-lead collisions.

Decays of beauty hadrons to charmless final sates receive relevant contributions from penguin topologies where new physics beyond the Standard Model may appear as virtual contributions. The presence of these new particles can be revealed comparing the branching fractions and CP asymmetries of these decays with the Standard Model expectations. In addition, the combination of several quantities and the study of the decay dynamic over the phase space of multibody decays allow the models used to deal with QCD effects to be validated. In this presentation the most recent analyses of charmless b-hadron decays performed by LHCb are presented.

The Time Of internally Reflected CHerenkov detector (TORCH) is a proposed large-area time-of-flight detector, designed to enhance the particle identification performance of the Upgrade-II LHCb experiment in the 2–15 GeV/c momentum range. A TORCH module consists of a 10 mm thick quartz plate of dimensions 2.5 x 0.66 m from which the positions and arrival times of Cherenkov photons from a charged track are detected by highly segmented MCP-PMTs. Each MCP-PMT has an active area of 53 x 53 mm and a granularity of 64 x 8 pixels, and developed in collaboration with an industrial partner (Photek). A general overview of TORCH and its operating principles will be reviewed along with recent results from a half-length 1.25 m TORCH prototype module tested at the CERN proton synchrotron. In the most recent beam test in November 2022, the prototype module was instrumented with 6 MCP-PMTs compared to 2 MCP-PMTs in previous tests. The current status of the analysis of the latest data will be presented.

Measurements of quarkonia production in peripheral and ultra-peripheral heavy-ion collisions are sensitive to photon-photon and photon-nucleus interactions, the partonic structure of nuclei, and to the mechanisms of vector-meson production. In this contribution, recent measurement performed by LHCb will be presented, such as the coherent and incoherent production of $J/\psi$ mesons in peripheral and ultra-peripheral collisions in PbPb at forward rapidity with the highest precision currently accessible. Prospects for future UPC measurements with the upgraded LHCb detector in Run 3 will also be discussed.

Thanks to the injection of noble gases in the LHC beam-pipe while proton or ion beams are circulating, the LHCb spectrometer has the unique capability to function as the highest-energy fixed-target experiment ever built. The resulting beam+gas collisions cover an unexplored energy range that is above previous fixed-target experiments, but below the top RHIC energy for AA collisions. In this contribution, we present new results on charm production from $p$He, $p$Ar, $p$Ne, and PbNe fixed-target collisions at LHCb, which provide unique constraints to shed light on the nucleon structure. Comparisons with various theoretical models of particle production and transport through the nucleus will be discussed. Also, prospects with the upgraded fixed-target system will be illustrated.

Starting this year, the upgraded LHCb detector is collecting data with a pure software trigger. In its first stage, reducing the rate from 30MHz to about 1MHz, GPUs are used to reconstruct and trigger on B and D meson topologies and high-pT objects in the event. In its second stage, a CPU farm is used to reconstruct the full event and perform candidate selections, which are persisted for offline use with an output rate of about 10GB/s. Fast data processing, flexible and custom-designed data structures tailored for SIMD architectures and efficient storage of the intermediate data at various steps of the processing pipeline onto persistent media, e.g. tapes is essential to guarantee the full physics program of LHCb. In this talk, we will present the event model and data persistency developments for the trigger of LHCb in run 3. Particular emphasize will be given to the novel software-design aspects with respect to the Run 1+2 data taking, the performance improvements which can be achieved and the experience of restructuring a major part of the reconstruction software in a large HEP experiment.

The aim of the LHCb Upgrade II at the LHC is to operate at a luminosity of 1.5 x 1034 cm-2 s-1 to collect a data set of 300 fb-1. This will require a substantial modification of the current LHCb ECAL due to high radiation doses in the central region and increased particle densities. Advanced detector R&D for both new and ongoing experiments in HEP requires performing computationally intensive and detailed simulations as a part of the detector-design optimization process. We propose a versatile approach to this task that is based on machine learning and can substitute the most computationally intensive steps of the process while retaining the GEANT4 accuracy to details. The approach covers entire detector representation from the event generation to the evaluation of the physics performance. The approach allows us to use an arbitrary arrangement of calorimetric modules of different types, various signal and background conditions, tunable reconstruction algorithms, and desired physics performance metrics. Being combined with properties of detector and electronic prototypes obtained from beam tests, the approach becomes even more versatile. We focus on the Upgrade II of the LHCb ECAL under the requirements for operation under high luminosity conditions. We discuss the general design of the approach, and particular estimations including energy, timing and spatial resolution for the future LHCb ECAL setup under different pile-up conditions. This contribution presents an overview of the deep learning approaches that are proposed to be used for reconstruction of the LHCb ECAL at high luminosities.