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Femtoscopic study of the proton-proton and proton-deuteron systems in heavy-ion collisions at the LHC
No full textMultiplicity-dependent inclusive J/ψ production at forward rapidity in pp collisions at = 13 TeV
No full textThis paper presents a study of the inclusive forward J/ψ yield as a function of forward charged-particle multiplicity in pp collisions at = 13 TeV using data collected by the ALICE experiment at the CERN LHC. The results are presented in terms of relative J/ψ yields and relative charged-particle multiplicities with respect to these quantities obtained in inelastic collisions having at least one charged particle in the pseudorapidity range |η| < 1. The J/ψ mesons are reconstructed via their decay into μμ pairs in the forward rapidity region (2.5 < y < 4). The relative multiplicity is estimated in the forward pseudorapidity range which overlaps with the J/ψ rapidity region. The results show a steeper-than-linear increase of the J/ψ yields versus the multiplicity. They are compared with previous measurements and theoretical model calculations.[graphic not available: see fulltext
detectomer - Software Defined Radio based conditional accelerator trigger on spectral power
No full textSoftware Defined Radio based conditional accelerator trigger on spectral powe
mCBM@SIS18 2023/24
No full textThis beam time application submitted in June 2022 is a continuation request by the CBM Collaboration to the General Program Advisory Committee (G-PAC) of GSI/FAIR, following the proposals which were granted in 2017 [4] and 2020 [5] within the FAIR phase-0 program of GSI / FAIR. The primary aim of mCBM@SIS18 (short “mCBM”) is to commission and optimize the complex interplay of the different detector systems with the triggerless-streaming data acquisition and the fast online event reconstruction and selection under realistic experiment conditions up to the top CBM interaction rate of 10 MHz. To validate the read-out and data processing concept of CBM the Λ production yield in Au + Au and Ni + Ni collisions at top SIS18 energies are measured with mCBM as a benchmark observable, which will allow comparison with published data by the FOPI and HADES experiment
HELPMI and NAPMIX: Two Metadata-Initiatives in the field of Matter
No full textMetadata is crucial for ensuring the FAIR principles (Findability, Accessibility, Interoperability, and Reusability)in scientific research, particularly in matter sciences, where diverse experiments and models generate vastheterogeneous data. To address these challenges, multiple metadata initiatives have emerged, enhancingdata management and collaboration.This talk presents two key initiatives: HELPMI (Helmholtz MetadataCollaboration Initiative for Plasma and Laser-Plasma Physics) and NAPMIX (Nuclear, Astro and ParticleMetadata Integration Experiments).HELPMI started the development of a domain-specific metadata frameworkfor laser-plasma physics, aligning with the Helmholtz Metadata Collaboration (HMC) and FAIR principles, andbuilding upon existing standards like NeXuS and openPMD. It focuses on easy-to-use metadata schemas forexperiments at user facilities, and interoperability to facilitate data reuse, sharing, and validation.NAPMIX, partof the OSCARS project, facilitates metadata integration across nuclear, astroparticle, and particle physics,enhancing standardization and interoperability. It aims to support cross-domain collaboration through acommon metadata framework while also providing a platform for end-user metadata generation. Thedevelopment is carried out in collaboration with international European infrastructures.This presentationhighlights the synergies between HELPMI and NAPMIX, comparing their metadata structuring, governance, andimplementation approaches. By addressing shared challenges in plasma and nuclear/particle physics, theseinitiatives contribute to a broader, interoperable metadata ecosystem. We will also explore future directions,such as cross-disciplinary metadata integration and connections with emerging researchinfrastructures. Overall, this talk underscores the importance of metadata standardization in fostering open,reproducible science
