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PANDA Grid is the computing tool of the ANDA experiment at FAIR with concerted efforts dedicated to evolving it beyond passive computing infrastructure, into a complete and transparent solution for physics simulation, reconstruction and analysis, a tool right at the fingertips of the physicist. ANDA's position within the larger FAIR community, synergies with other FAIR experiments and with ALICE@LHC, together with recent progress are reported.

The PIENU experiment at TRIUMF aims to measure the branching ratio of pion decays R = Γ(π+ → e+νe + π+ → e+ νeγ) Γ(π+→μ+νμ + π+ → μ+νμγ) with precision <0.1%, providing a stringent test of the Standard Model hypothesis of electron-muon universality and a search for new physics.

The branching ratio, Re/μ Γ(π → eν + eνγ)/Γ(π → μν + μνγ), provides a sensitive test of muon-electron universality in weak interactions. The status of the PIENU experiment at TRIUMF, which aims to improve the precision of the Re/μ measurement by a factor of > 5, is presented.

Neutrinos exist in one of three types or 'flavours'--electron, muon and tau neutrinos--and oscillate from one flavour to another when propagating through space. This phenomena is one of the few that cannot be described using the standard model of particle physics (reviewed in ref. .sup.1), and so its experimental study can provide new insight into the nature of our Universe (reviewed in ref. .sup.2). Neutrinos oscillate as a function of their propagation distance (L) divided by their energy (E). Therefore, experiments extract oscillation parameters by measuring their energy distribution at different locations. As accelerator-based oscillation experiments cannot directly measure E, the interpretation of these experiments relies heavily on phenomenological models of neutrino-nucleus interactions to infer E. Here we exploit the similarity of electron-nucleus and neutrino-nucleus interactions, and use electron scattering data with known beam energies to test energy reconstruction methods and interaction models. We find that even in simple interactions where no pions are detected, only a small fraction of events reconstruct to the correct incident energy. More importantly, widely used interaction models reproduce the reconstructed energy distribution only qualitatively and the quality of the reproduction varies strongly with beam energy. This shows both the need and the pathway to improve current models to meet the requirements of next-generation, high-precision experiments such as Hyper-Kamiokande (Japan).sup.3 and DUNE (USA).sup.4.

The NA62 experiment at CERN collected a large sample of charged kaon decays in ight with a minimum bias trigger in 2007. Upper limits on the rate of the charged kaon decay into a muon and a heavy neutral lepton (HNL) obtained from this data are reported for a range of HNL masses. The NA62 experiment has collected further data in 2015 with a completely new and improved detector. New limits on heavy neutrinos from kaon decays into electron and HNL will be presented.

Heavy neutrinos were sought in pion decays \\(\\pi^+ \\rightarrow \\mu^+ \\nu\\) by examining the observed muon energy spectrum for extra peaks in addition to the expected peak for a massless neutrino. No evidence for heavy neutrinos was observed. Upper limits were set on the neutrino mixing matrix \\(|U_{\\mu i}|^2\\) in the neutrino mass region of 15.7--33.8 MeV/c\\(^2\\), improving on previous results by an order of magnitude.

In 2017, NA62 recorded over a petabyte of raw data, collecting around a billion events per day of running. Data are collected in bursts of 3-5 seconds, producing output files of a few gigabytes. A typical run, a sequence of bursts with the same detector configuration and similar experimental conditions, contains 1500 bursts and constitutes the basic unit for offline data processing. A sample of 100 random bursts is used to make timing calibrations of all detectors, after which every burst in the run is reconstructed. Finally the reconstructed events are filtered by physics channel with an average reduction factor of 20, and data quality metrics are calculated. Initially a bespoke data processing solution was implemented using a simple finite state machine with limited production system functionality. In 2017, the ATLAS Tier-0 team offered the use of their production system, together with the necessary support. Data processing workflows were rewritten with better error-handling and I/O operations were minimised, the reconstruction software was improved and conditions data handling was changed to follow best practices suggested by the HEP Software Foundation conditions database working group. This contribution describes the experience gained in using these tools and methods for data-processing on a petabyte scale experiment.

An abstract from the study by Vasiliu et al entitled The attitude towards emergency contraception in women having legal abortion is presented. Assessing the attitude towards emergency contraception of women having a legal abortion, Vasiliu et al find out that the emergency contraception is a method highly acceptable among women having legal abortion, but underused because of the lack of information.