[en] The upgrade of the ALICE Inner Tracking System is based on a Monolithic Active Pixel Sensor and ASIC designed in a CMOS 0.18 μ  m process. In order to provide the required output bandwidth (1.2 Gb/s for the inner layers and 400 Mb/s for the outer ones) on a single high speed serial link, a custom Data Transmission Unit (DTU) has been developed in the same process. The DTU includes a clock multiplier PLL, a double data rate serializer and a pseudo-LVDS driver with pre-emphasis and is designed to be SEU tolerant.

[en] One of the major drawbacks that limits the clinical application of nanoparticles is the lack of preliminary investigations related to their biocompatibility, biodegradability and biodistribution. In this work, biodegradable PEGylated polymer nanoparticles (NPs) have been synthesized by using macromonomers based on poly(ε-caprolaconte) oligomers. More in detail, NPs have been produced by adopting a surfactant-free semibatch emulsion polymerization process using PEG chains as a stabilizing agent. The NPs were also labeled with rhodamine B covalently bound to the NPs to quantitatively study their biodistribution in vivo. NPs were investigated in both in vitro and in vivo preclinical systems to study their biodistribution in mice bearing B16/F10 melanoma, as well as their biocompatibility and biodegradability. The NP concentration was evaluated in different tissues at several times after intravenous injection. The disappearance of the NPs from the plasma was biphasic, with distribution and elimination half-lives of 30 min and 15 h, respectively. NPs were retained in tumors and in filter organs for a long time, were still detectable after 7 d and maintained a steady concentration in the tumor for 120 h. 48 h after injection, 70 ± 15% of the inoculated NPs were excreted in the feces. The favorable tumor uptake, fast excretion and absence of cytotoxicity foster the further development of produced NPs as drug delivery carriers. (paper)

[en] The NA62 experiment at CERN Super Proton Synchrotron aims at studying ultra-rare decays of charged kaons for precise tests of the Standard Model. The complete experimental setup is being commissioned for the first physics data taking in the autumn of 2014. This paper presents the final design and implementation of the Level-0 trigger system of the LKr calorimeter, acting as hermetic photon veto of the experiment in the 1-8.5 mrad region. The first on-field performance tests are presented

[en] The NA62 experiment at the CERN SPS aims at measuring the branching ratio of the very rare kaon decay K"+ → π"+ ν ν-bar (expected 10"−"1"0) with a 10% background. Since an high-intensity kaon beam is required to collect enough statistics, the Level-0 trigger plays a fundamental role in both the background rejection and in the particle identification. The calorimetric trigger collects data from various calorimeters and it is able to identify clusters of energy deposit and determine their position, fine-time and energy. This paper describes the complete hardware commisioning and the setup of the trigger for the 2015 physics data taking

[en] The NA62 experiment at CERN SPS has started its data-taking. Its aim is to measure the branching ratio of the ultra-rare decay K ⁺ → π⁺ν ν̅ . In this context, rejecting the background is a crucial topic. One of the main background to the measurement is represented by the K ⁺ → π⁺π⁰ decay. In the 1-8.5 mrad decay region this background is rejected by the calorimetric trigger processor (Cal-L0). In this work we present the performance of a soft-core based parallel architecture built on FPGAs for the energy peak reconstruction as an alternative to an implementation completely founded on VHDL language.

[en] The NA62 experiment at the CERN SPS aims at measuring the branching ratio of the very rare kaon decay K ⁺ → π⁺ ν ν-bar (expected 10⁻¹⁰) with a 10% background. Since an high-intensity kaon beam is required to collect enough statistics, the Level-0 trigger plays a fundamental role in both the background rejection and in the particle identification. The calorimetric trigger collects data from various calorimeters and it is able to identify clusters of energy deposit and determine their position, fine-time and energy. This paper describes the trigger system setup during the 2016 physics data taking. A newly implemented cluster counting algorithm is also presented.