contributions/lhcf/lhcf.tex

+\documentclass[a4paper]{jpconf}
+\usepackage{graphicx}
+\begin{document}
+\title{The LHCf experiment}
+
+\author{A Tiberio$^{2,1}$, O Adriani$^{2,1}$, E Berti $^{2,1}$, L Bonechi$^{1}$, M Bongi$^{2,1}$, R D'Alessandro$^{2,1}$, S Ricciarini$^{1,3}$, and A Tricomi$^{4,5}$ for the LHCf Collaboration}
+\address{$^1$ INFN, Section of Florence, I-50019 Sesto Fiorentino, Florence, Italy}
+\address{$^2$ Department of Physics, University of Florence, I-50019 Sesto Fiorentino, Florence, Italy}
+\address{$^3$ IFAC-CNR, I-50019 Sesto Fiorentino, Florence, Italy}
+\address{$^4$ INFN, Section of Catania, I-95131 Catania, Italy}
+\address{$^5$ Department of Physics, University of Catania, I-95131 Catania, Italy}
+
+\ead{alessio.tiberio@fi.infn.it}
+
+\begin{abstract}
+The LHCf experiment is dedicated to the measurement of very forward particle production in the high energy hadron-hadron collisions at LHC, with the aim of improving the cosmic-ray air shower developments models. Most of the simulations of particle collisions and detector response are produced exploiting the resources available at CNAF. The role of CNAF and the main recent results of the experiment are discussed in the following.
+\end{abstract}
+
+\section{Introduction}
+The LHCf experiment is dedicated to the measurement of very forward particle production in the high energy hadron-hadron collisions at LHC. The main purpose of LHCf is improving the performance of the hadronic interaction models, that are one of the important ingredients of the simulations of the Extensive Air Showers (EAS) produced by primary cosmic rays.
+Since 2009 the LHCf detector has taken data in different configurations of the LHC: p-p collisions at center of mass energies of 900\,GeV, 2.76\,TeV, 7\,TeV and 13\,TeV, and p-Pb collisions at $\sqrt{s_{NN}}\,=\,5.02$\,TeV and 8.16\,TeV. The main results obtained in 2018 is shortly presented in the next paragraphs.
+
+\section{The LHCf detector}
+The LHCf detector is made of two independent electromagnetic calorimeters placed along the beam line at 140\,m on both sides of the ATLAS Interaction Point, IP1 \cite{LHCf_experiment, LHCf_detector}. Each of the two detectors, called Arm1 and Arm2, contains two separate calorimeter towers allowing to optimize the reconstruction of neutral pion events decaying into couples of gamma rays. During data taking the LHCf detectors are installed in the so called \"recombination chambers\", a place where the beam pipe of IP1 splits into two separate pipes, thus allowing small detectors to be inserted just on the interaction line (this position is shared with the ATLAS ZDC e.m. modules). For this reason the size of the calorimeter towers is very limited (few centimeters). Because of the performance needed to study very high energy particles with the requested precision to allow discriminating between different hadronic interaction models, careful simulations of particle collisions and detector’s response are mandatory. In particular, due to the tiny transversal size of the detectors, large effects are observed due to e.m. shower leackage in and out of the calorimeter towers. Most of the simulations produced by the LHCf Collaboration for the study and calibration of the Arm2 detector have been run exploiting the resources made available at CNAF.
+
+\section{Results obtained in 2018}
+
+During 2018 no experimental operations were performed in LHC tunnel or SPS experimental area, so all the work was concentrated to the analysis of data collected during the 2015 operation in p-p collisions at 13 TeV and during 2016 operation in p-Pb collisions at 8.16 TeV.
+The final results of photon and neutron production spectra in proton-proton collisions at $\sqrt{s} =$ 13 TeV in the very forward region ($8.81 < \eta < 8.99$ and $\eta > 10.94$ for photons, $8.81 < \eta < 9.22$ and $\eta > 10.76$ for neutrons, where $\eta$ is the pseudorapidity of the particle\footnote{In accelerator experiments the pseudorapidity of a particle is defined as $\eta = - \ln [ \tan(\theta / 2) ]$, where $\theta$ is the angle between the particle momentum and the beam axis.}) were published on Physics Letters B and Journal of High Energy Physics, respectively \cite{LHCf_photons, LHCf_neutrons}.
+These are the first published results of the collaboration at the highest available collision energy of 13 TeV at the LHC.
+In addition to proton-proton results, preliminary results for photon spectrum in proton-lead collisions at $\sqrt{s_{NN}} = 8.16$ TeV were obtained and presented in several international conferences.
+
+\section{LHCf simulations and data processing}
+
+A full LHCf event involves two kinds of simulations: the first one was produced making use of the COSMOS and EPICS libraries, the second one making use of the CRMC toolkit. In both cases we used the most common generators employed in cosmic ray physics. For the second group only secondary particles produced by collisions were considered, whereas for the first group transport through the beam pipe and detector interaction were simulated as well. For this purpose, all this software was at first installed on the CNAF dedicated machine, then we performed some debug and finally we interactively run some test simulations.
+In order to optimize the usage of resources, simulations production was shared between Italian and Japanese side of the collaboration. For this reason, the machine was used as well to transfer data from/to Japanese server.
+In addition to simulations activity, CNAF resources were important for data analysis, both for experimental and simulation files. This work required to apply all reconstruction processes, from raw data up to a ROOT file containing all relevant physics quantities reconstructed from detector information. For this purpose, LHCf analysis software was installed, debugged and continuously updated on the system. Because the reconstruction of a single file can take several hours and the number of files to be reconstructed is large, the usage of the queue dedicated to LHCf was necessary to accomplish this task. ROOT files were then transferred to local PCs in Firenze, in order to have more flexibility on the final analysis steps, that does not require long computing time.
+
+In 2018, the CNAF resources were mainly used by LHCf for mass production of MC simulations needed for the $\pi^0$ analysis of LHC data relative to proton-proton collisions at $\sqrt{s} = 13\,$TeV.
+In order to extend the rapidity coverage, in $\pi^0$ analysis also the data acquired with the detector shifted 5 mm upward with respect to the nominal position are analysed.
+As a consequence all the MC simulations involving the detector have to be generated again with that modified geometry.
+The full sample of $10^8$ collisions was generated for QGSJET model, while about 50\% of the EPOS sample was completed.
+
+\section*{References}
+
+\begin{thebibliography}{9}
+\bibitem{LHCf_experiment} O. Adriani {\it et~al.}, JINST \textbf{3}, S08006 (2008)
+\bibitem{LHCf_detector} O. Adriani {\it et~al.}, JINST \textbf{5}, P01012 (2010)
+\bibitem{LHCf_photons} O. Adriani {\it et~al.}, Physics Letters B \textbf{780} (2018) 233–239
+\bibitem{LHCf_neutrons} O. Adriani {\it et~al.}, J. High Energ. Phys. (2018) \textbf{2018}: 73.
+\end{thebibliography}
+
+\end{document}

contributions/limadou/limadou.tex

@@ -3,9 +3,9 @@
 \begin{document}
 \title{CSES-Limadou at CNAF}
 
-\author{Matteo Merg\'e}
+\author{Matteo Merg\'e$^1$}
 
-\address{Agenzia Spaziale Italiana, Space Science Data Center ASI-SSDC \newline via del politecnico 1, 00133, Rome, Italy }
+\address{$^1$ Agenzia Spaziale Italiana, Space Science Data Center ASI-SSDC, Rome, IT}
 
 \ead{matteo.merge@roma2.infn.it, matteo.merge@ssdc.asi.it}
 
@@ -21,7 +21,7 @@ The High-Energy Particle Detector (HEPD), developed by the INFN, detects electro
 The instrument consists of several detectors. Two planes of double-side silicon microstrip sensors placed on the top of the instrument provide the direction of the incident particle. Just below, two layers of plastic scintillators, one thin segmented, give the trigger; they are followed by a calorimeter, constituted by other 16 scintillators and a layer of LYSO sensors. A scintillator veto system completes the instrument. 
 
 \section{HEPD Data}
-The reconstruction occurs in three phases, which determine three different data formats, namely 0, 1 and 2, with increasing degree of abstraction. This structure is reflected on the data-persistency format, as well as on the software design. Raw data as downlinked from the CSES. They include ADC counts from the silicon strip, detector, from trigger scintillators, from energy scintillators and from LYSO crystals. ADC counts from lateral veto are also there, together with other very low-level information. Data are usually stored in ROOT format. Level 1 data contain all detector responses after calibration and equalization. The tracker response is clustered (if not already in this format at level0) and corrected for the signal integration time. All scintillator responses are calibrated and equalized. Information on the event itself like time, trigger flags, dead/alive time, etc… are directly inherited from level 0. Data are usually stored in ROOT format. Level 2 data contain higher level information, used to compute final data products. Currently the data are transferred from China as soon as they are downlinked from the CSES satellite and are processed at a dedicated facility at ASI Space Science Data Center (ASI-SSDC \cite{ssdc}) and then distributed to the analysis sites includind CNAF.  
+The reconstruction occurs in three phases, which determine three different data formats, namely 0, 1 and 2, with increasing degree of abstraction. This structure is reflected on the data-persistency format, as well as on the software design. Raw data as downlinked from the CSES. They include ADC counts from the silicon strip, detector, from trigger scintillators, from energy scintillators and from LYSO crystals. ADC counts from lateral veto are also there, together with other very low-level information. Data are usually stored in ROOT format. Level 1 data contain all detector responses after calibration and equalization. The tracker response is clustered (if not already in this format at level0) and corrected for the signal integration time. All scintillator responses are calibrated and equalized. Information on the event itself like time, trigger flags, dead/alive time, etc… are directly inherited from level 0. Data are usually stored in ROOT format. Level 2 data contain higher level information, used to compute final data products. Currently the data are transferred from China as soon as they are downlinked from the CSES satellite and are processed at a dedicated facility at ASI Space Science Data Center (ASI-SSDC \cite{ssdc}) and then distributed to the analysis sites including CNAF.  
 
 \section{HEPD Data Analysis at CNAF}
 Level2 data of the HEPD detector are currently produced daily in ROOT format from the raw files. Once a week they are transferred at CNAF, using gfal-tools for the analysis team to be used. Raw data are transfered also to the CNAF facility on weekly basis and will be transferred to the tape storage. Most of the data analysis software and tools have been developed to be used at CNAF. Geant4 MC simulations are currently ran at CNAF by the collaboration, the facility proved to be crucial to perform, computational intensive, optical photons simulations needed to simulate the light yield of the plastic scintillators of the detector. Most of the software is written in C++/ROOT while several attempts to use Machine Learning and Neural Networks tecniques are pushing the collaboration to use more frequently Python for the analysis.

contributions/na62/main.tex

+\documentclass[a4paper]{jpconf}
+\usepackage{graphicx}
+
+\bibliographystyle{iopart-num}
+%\usepackage{citesort}
+
+\begin{document}
+\title{The NA62 experiment at CERN}
+
+\author{Antonino Sergi, on behalf of the NA62 collaboration}
+
+%\address{}
+
+\ead{antonino.sergi@cern.ch}
+
+\begin{abstract}
+Rare  decays are  theoretically  clean  processes  excellent  to  test  new
+physics at the highest scale complementary to LHC. The NA62 experiment at CERN SPS aims
+to collect of the order of 100
+events in two years of data taking, keeping the background lower than 20\% of the signal. 
+\end{abstract}
+
+\section{Introduction}
+Among the flavour changing neutral current $K$ and $B$ decays, the  $K\to\pi\nu\bar\nu$ decays play a key role in the search for new physics through the underlying mechanisms of flavour mixing. These decays are strongly suppressed in the SM (the highest CKM suppression), and are dominated by top-quark loop contributions. The SM branching ratios have been computed to high
+precision with respect to other loop-induced meson decays: ${\rm
+BR}(K^+\to\pi^+\nu\bar\nu)=8.22(75)\times 10^{-11}$ and ${\rm
+BR}(K_L\to\pi^0\nu\bar\nu)=2.57(37)\times 10^{-11}$; the uncertainties are dominated by parametric ones, and the irreducible theoretical uncertainties are at a $\sim 1\%$ level~\cite{br11}. The theoretical cleanness of these decays remains also in certain new physics scenarios. Experimentally, the $K^+\to\pi^+\nu\bar\nu$ decay has been observed by the BNL E787/E949 experiments, and the measured branching ratio is
+$\left(1.73^{+1.15}_{-1.05}\right)\times 10^{-10}$~\cite{ar09}. The
+achieved precision is inferior to that of the SM expectation.
+
+The main goal of the NA62 experiment at CERN is the measurement of the $K^+\to\pi^+\nu\bar\nu$ decay rate at the 10\% precision level, which would constitute a significant test of the SM. The experiment is expected to collect about 100 signal events in two years of data taking, keeping the systematic uncertainties and backgrounds low. Assuming a 10\% signal acceptance and the SM decay rate, the kaon flux should correspond to at least $10^{13}$ $K^+$ decays in the fiducial volume. In order to achieve a small systematic uncertainty, a rejection factor for generic kaon decays of the order of $10^{12}$ is required, and the background suppression factors need to be measured directly from the data. In order to achieve the required kaon intensity, signal acceptance and
+background suppression, most of the NA48/NA62 apparatus used until 2008
+was replaced with new detectors. The CERN SPS extraction line used by the NA48 experiment is capable of delivering beam intensity sufficient for the NA62. Consequently the new setup is housed at the CERN North Area High Intensity Facility where the NA48 was located. The decay in flight technique will be used; optimisation of the signal acceptance drives the
+choice of a 75 GeV/$c$ charged kaon beam with 1\% momentum bite. The
+experimental setup includes
+a $\sim 100$~m long beam line to form the appropriate secondary
+beam, a $\sim 80$~m long evacuated decay volume, and a series of
+downstream detectors measuring the secondary particles from the
+$K^+$ decays in the fiducial decay volume.
+
+The signal signature is one track in the final state matched to one $K^+$ track in the beam. The integrated rate upstream is about 800 MHz (only 6\% of the beam particles are kaons, the others being mostly $\pi^+$ and protons). The rate seen by the detector downstream is about 10 MHz, mainly due to $K^+$ decays. Timing and
+spatial information are required to match the upstream and downstream tracks. Backgrounds come from kaon decays with a single reconstructed track in the final state, including accidentally matched upstream and downstream tracks. The background suppression profits from the high kaon beam momentum. A variety of techniques are employed in combination in order to reach the required level of background rejection. They can be schematically divided into kinematic rejection, precise timing, highly efficient photon and muon veto systems, and precise particle identification systems to distinguish $\pi^+$, $K^+$ and positrons. The above requirements drove the design and the construction of the subdetector systems.
+
+The main NA62 subdetectors are: a differential Cherenkov counter (CEDAR) on the beam line to identify the $K^+$ in the beam; a silicon pixel beam tracker; guard-ring counters surrounding the beam tracker to veto catastrophic interactions of particles; a downstream spectrometer composed of 4 straw chambers operating in vacuum; a RICH detector to identify pions and muons; a scintillator hodoscope; a muon veto detector. The photon veto detectors include a series of annular lead glass calorimeters surrounding the decay and detector volume, the NA48 LKr calorimeter, and two small angle calorimeters to provide hermetic coverage for photons emitted at close to zero angle to the beam. The design of the experimental apparatus and the R\&D of the new subdetectors have been completed. The experiment started collecting physics data in 2015, and since 2016 is fully commissioned and in its production phase.
+
+
+\section{NA62 computing model and the role of CNAF}
+NA62 raw data consist in custom binary files, collecting data packets directly from the DAQ electronics, after a minimal overall formatting; there is a one to one correspondence between files and spills from the SPS. Data contains up to 16 different level-0 trigger streams, for a total maximum bandwidth of 1 MHz, which are filtered by software algorithms to reduce the output rate to less than 50kHz.
+Raw data is stored on CASTOR and promptly calibrated and reconstructed, on a scale of few hours, for data quality monitoring using the batch system at CERN and EOS. Near-line fast physics selection for data quality, off-line data processing and analysis is currently performed using only CERN computing facilities.
+
+Currently NA62 exploits the GRID only for Monte Carlo productions, under the management of the UK GRID-PP collaboration members; in 2018 CNAF resources have been used as one of the GRID sites that serve NA62VO. 
+
+\section*{References}
+\begin{thebibliography}{99} % Use for 10-99 references
+%
+\bibitem{br11}
+J. Brod, M. Gorbahn and E. Stamou, Phys. Rev. {\bf D83}, 034030
+(2011).
+%
+\bibitem{ar09}
+A.V. Artamonov {\it et al.}, Phys. Rev. Lett. {\bf 101} (2008) 191802.
+%
+\end{thebibliography}
+
+\end{document}

contributions/net/main.tex

+\documentclass[a4paper]{jpconf}
+\usepackage{graphicx}
+\begin{document}
+\title{The INFN-Tier 1: Network and Security}
+
+\author{S.~Zani$^1$, D.~De~Girolamo$^1$, L.~Chiarelli$^{1,2}$, V.~Ciaschini$^1$}
+ \address{$^1$ INFN-CNAF, Bologna, IT}
+
+\address{$^2$ GARR Consortium, Roma, IT}
+
+\ead{stefano.zani@cnaf.infn.it}
+
+	
+	
+%\begin{abstract}
+%DA SCRIVERE
+%\end{abstract}
+
+\section{Introduction}
+The Network unit manages the wide area and local area connections of CNAF.
+Moreover, it is responsible for the security of the center, and it contributes to the management of the local CNAF services 
+(e.g. DNS, Windows domain etc.) and some of the INFN national ICT services. It gives also support to the GARR PoP hosted at CNAF.
+
+
+\section{Wide Area Network}
+T he main PoP of GARR network, based on a fully managed dark fiber infrastructure, is hosted tnside CNAF data center.  
+
+CNAF is connected to the WAN via GARR/GEANT essentially with two physical links:
+
+\begin{itemize}
+	\item General Internet: General IP link is 20 Gbps (2x10 Gbps) via GARR and GEANT;
+	\item LHCOPN/LHCONE: The link to WLCG destinations is 200 Gbps (2x100 Gbps) link shared between the LHC-OPN network for traffic 
+	with the Tier 0 (CERN) and the other Tier 1 sites and LHCONE network mainly for traffic with the Tier 2 centers. 
+	Since summer 2018, the LHCOPN dedicated link to CERN (from Milan GARR POP) has been upgraded to 2x100 Gbps 
+	while the peering to LHCONE is at 100 Gbps (from Milan GARR POP and GEANT GARR POP).
+\end{itemize}
+
+
+\begin{figure}[h]
+	\begin{center}
+	\includegraphics[width=30pc]{connection-schema.png}\hspace{2pc}%
+	%\begin{minipage}[b]{14pc}
+	\caption{\label{schema-rete}INFN-CNAF connection schema.}
+	%\end{minipage}
+	\end{center}
+\end{figure}
+
+
+As shown in Figures~\ref{lhc-opn-usage} and \ref{gpn-usage},  network usage is growing both on LHCOPN/ONE and on General IP, 
+even if, at the beginning of last year, the traffic was very low because of the flooding occurred in November 2017 
+(the Computing Center returned completely online during February 2018).
+
+
+\begin{figure}[h]
+	\begin{center}
+	\includegraphics[width=30pc]{lhcone-opn.png}\hspace{2pc}%
+	\caption{\label{lhc-opn-usage}LHC OPN + LHC ONE link usage.}
+	\end{center}
+\end{figure}
+
+
+
+\begin{figure}[h]
+	\begin{center}
+	\includegraphics[width=30pc]{gpn.png}\hspace{2pc}%
+	\caption{\label{gpn-usage}General IP link usage.}
+	\end{center}
+\end{figure}
+
+
+Currently the dedicated bandwidth for LHCOPN to CERN is 100 Gbps with a backup link of 4x10 Gbps. 
+During 2019, the configuration will change and 2x100 Gb/s links to the two CERN POP will be provided in order to grant a better resiliency 
+and to give potentially 200 Gbps full speed with CERN and the Tier 1s. 
+
+
+\section{Data Center Interconnect with CINECA}
+
+
+At the beginning of 2018, CNAF obtained from CINECA the use of 216 Servers based on Intel Xeon CPU E5-2697 v4 
+(with 36 physical cores) coming from the Super Computer “Marconi” partition 1 in phase-out for HPC workflows.
+
+In order to integrate all of those computing resources in our farm, it has been fundamental to guarantee the appropriate access bandwidth to the storage resources located at CNAF. This has been implemented with the collaboration of GARR using the Data Center Interconnect (DCI) technology 
+provided by a pair of Infinera Cloud Express 2 (CX1200).
+The Cloud Express 2 are Transponders with 12 x 100 Gigabit Ethernet interfaces on LAN Side and one LC fiber interface on “Line” side capable of up to 1,2 Tbps on a single mode fiber at a maximum distance of 100 kilometers (CNAF and CINECA are 17 km far). In CNAF-CINECA case, the systems are configured for a 400 Gbps connection.
+
+The latency introduced by each CX1200 is of $\sim 5 \mu$s and the total RTT (Round Trip Time) between servers at CNAF and servers at CINECA is of 0,48 ms,
+comparable to what we observe on the LAN (0,28 ms).
+
+All worker nodes on the network segment at CINECA have IP addresses of the INFN Tier 1 network and are used as they were installed 
+at the Tier 1 facility (see Figure~\ref{cineca-schema}). The data access bandwidth is 400 Gbps but it can scale up to 1,2 Tbps.
+
+This DCI interconnection has been implemented rapidly and as a proof of concept 
+(this is the first time this technology has been used in Italy). Currently, it is in production, and as it is becoming 
+a stable and relevant asset for CNAF (Figure~\ref{cineca-traffic}), we plan to have a second optical fiber between CNAF and CINECA for resiliency reasons. 
+
+
+
+\begin{figure}[h]
+	\begin{center}
+	\includegraphics[width=30pc]{cineca-schema.png}\hspace{2pc}%
+	\caption{\label{cineca-schema}INFN Tier 1–CINECA Data Center Interconnection.}
+	\end{center}
+\end{figure}
+
+
+
+\begin{figure}[h]
+	\begin{center}
+	\includegraphics[width=30pc]{cineca.png}\hspace{2pc}%
+	\caption{\label{cineca-traffic}INFN Tier 1–CINECA link usage}
+	\end{center}
+\end{figure}
+
+
+\section{Security}
+The network security policies are mainly implemented as hardware-based ACLs on the access router 
+and on the core switches (with a dedicated ASICS on the devices).
+
+The network group, in coordination with GARR-CERT and EGI-CSIRT, takes also care of security incidents at CNAF 
+(both for compromised systems or credential and known vulnerability of software and grid middleware) cooperating with the involved parties. 
+
+
+During 2018, CNAF Security Group has been reorganized with the formal involvement of at least one representative 
+for each unit in order to obtain a stronger coordination on security policies implementation and a faster reaction to security incidents.
+
+
+As always, in 2018 CNAF has had an important commitment to security, and it has been active on several fronts, as described in the following.
+
+
+
+\subsection{“Misure Minime” Implementation}
+CNAF has had an important role in determining how the whole INFN would implement compliance with the 
+“Misure Minime”\footnote{Misure Minime is a set of minimum ICT security measures to be adopted 
+by all the Italian public administrations.} regulation. 
+It actively contributed to the discussion and to the implementation guidelines for each OS, 
+and it had a central role in defining the Risk Management procedures, writing the prototype version and co-writing the final definition.
+
+
+\subsection{Vulnerability scanning}
+
+In an effort to monitor the security of the center, CNAF has started a campaign of systematic and periodic scanning all of its machines, 
+personal and not, looking for vulnerabilities in an effort to find and fix them before they could be actively exploited by an attacker.
+
+As expected, this scanning brought to light a number of issues that were promptly corrected (when possible) or mitigated (when not) thus nipping a number of potential problems in the bud.
+
+
+\subsection{Security Assessment}
+In light of its growing importance, a security assessment of Indigo-IAM has also taken place.
+
+Focused on testing the actual security of the product and finding ways in which it could be exploited, this assessment brought to light a number of issues of varying importance which have been sent back and discussed with the developers to increase the security and reliability of the product.
+
+
+\subsection{Technology tracking}
+A constant technology tracking activity on security tools and devices is ongoing. 
+In particular, meetings with some of the main Next Generation Firewall producers have been scheduled in 2017 and in 2018. 
+During the two years, three Next-Generation firewall from Fortinet, Huawei and Palo Alto Networks had been tested on production links
+in order to define the fundamental characteristics to be included in the tender for the acquisition of the NG Firewall to be installed on the “General IP” Wide Area Network Link.
+
+
+
+
+
+
+
+
+%\section*{References}
+%\begin{thebibliography}{9}
+%\bibitem{iopartnum} IOP Publishing is to grateful Mark A Caprio, Center for Theoretical Physics, Yale University, for permission to include the {\tt iopart-num} \BibTeX package (version 2.0, December 21, 2006) with  this documentation. Updates and new releases of {\tt iopart-num} can be found on \verb"www.ctan.org" (CTAN). 
+%\end{thebibliography}
+
+\end{document}
+
+

contributions/newchim/repnewchim18.tex

@@ -12,12 +12,12 @@
         M.~Papa$^1$, S.~Pirrone$^{1}$, G.~Politi$^{2,1}$, F.~Rizzo$^{2,3}$, 
         P.~Russotto$^{3}$, A.~Trifir\`o$^{5,1}$, M~Trimarchi$^{5,1}$ }
         
-\address{$^1$ INFN, Sezione di Catania, Italy}
-\address{$^2$ Dip. di Fisica e Astronomia, Universit\`a di Catania, Italy}
-\address{$^3$ INFN, Laboratori Nazionali del Sud, Catania, Italy}
-\address{$^4$ CSFNSM, Catania, Italy}
-\address{$^5$ Dipartimento di Scienze MITF, Universit\`a di Messina, Italy}
-\address{$^6$ Universit\`a di Enna, ``Kore'', Italy}
+\address{$^1$ INFN Sezione di Catania, Catania, IT}
+\address{$^2$ Universit\`a di Catania, Catania, IT}
+\address{$^3$ INFN Laboratori Nazionali del Sud, Catania, IT}
+\address{$^4$ CSFNSM, Catania, IT}
+\address{$^5$ Universit\`a di Messina, Messina, IT}
+\address{$^6$ Universit\`a di Enna, Enna, IT}
 
 \ead{defilippo@ct.infn.it}
 
@@ -29,10 +29,10 @@ the 2018 experiment campaigns.
 \section{Introduction}
 The CHIMERA 4$\pi$ detector is constituted by 1192 Si-CsI(Tl) telescopes. The first stage of
 the telescope is a 300 $\mu$m thick silicon detector followed by a CsI(Tl) crystal, having a 
-thickness from 6 to 12 cm in length with photodiode readout. One of the key point of this device is the low threshold for simultaneous mass and charge identifications of particles and light ions, the velocity measurement by Time-of-Flight technique and the Pulse Shape Detection (PSD) aiming to measure the rise time of signals for charged particles stopping in the first Silicon detector layer of the telescopes. The CHIMERA array was designed to study the processes responsible for particle productions in nuclear fragmentation, the reaction dynamics and the isospin degree of freedom. Studies of Nuclear Equation of State (EOS) in asymmetric nuclear matter have been performed both at lower densities with respect to nuclear saturation density, in the Fermi energy 
+thickness from 6 to 12 cm in length with photodiode readout. One of the key points of this device is the low threshold for simultaneous mass and charge identifications of particles and light ions, the velocity measurement by Time-of-Flight technique and the Pulse Shape Detection (PSD) aiming to measure the rise time of signals for charged particles stopping in the first Silicon detector layer of the telescopes. The CHIMERA array was designed to study the processes responsible for particle productions in nuclear fragmentation, the reaction dynamics and the isospin degree of freedom. Studies of Nuclear Equation of State (EOS) in asymmetric nuclear matter have been performed both at lower densities with respect to nuclear saturation density, in the Fermi energy 
 regime at LNS Catania facilities \cite{def14}, and at high densities in the relativistic heavy ions beams energy domain at GSI \cite{rus16}. The production of Radioactive Ion Beams (RIB) at LNS in the recent years has also opened the use of the 4$\pi$ detector CHIMERA to nuclear structure and clustering studies \cite{acqu16, mar18}. 
 
-FARCOS (Femtoscope ARray for COrrelations and Spectroscopy) is an ancillary and compact multi-detector with high angular granularity and energy resolution for the detection of light charged particles (LCP) and Intermediate Mass Fragments (IMF) \cite{epag16}. It has been designed as an array for particle-particle correlation measurements in order to characterize the time scale and shape of emission sources in the dynamical evolution of heavy ion collisions. The FARCOS array is constituted, in the final project, by 20 independent telescopes. Each telescope is composed by three detection stages: the first $\Delta E$ is a 300 $\mu$m thick DSSSD silicon strip detector with 32x32 strips; the second is a DSSSD, 1500 $\mu$m thick with 32x32 strips; the final stage is constituted by 4 CsI(Tl) scintillators, each one of 6 cm in length. 
+FARCOS (Femtoscope ARray for COrrelations and Spectroscopy) is an ancillary and compact multi-detector with high angular granularity and energy resolution for the detection of light charged particles (LCP) and Intermediate Mass Fragments (IMF) \cite{epag16}. It has been designed as an array for particle-particle correlation measurements in order to characterize the time scale and shape of emission sources in the dynamical evolution of heavy ion collisions. The FARCOS array is constituted, in the final project, by 20 independent telescopes. Each telescope is composed by three detection stages: the first $\Delta E$ is a 300 $\mu$m thick DSSSD (Double-Sided Silicon Strip Detector) with 32x32 strips; the second is a DSSSD, 1500 $\mu$m thick with 32x32 strips; the final stage is constituted by 4 CsI(Tl) scintillators, each one of 6 cm in length. 
 
 \begin{figure}[t]
 \begin{center}
@@ -49,7 +49,7 @@ The total number of GET channels for the CHIMERA + FARCOS (20 telescopes) device
 
 \section{CNAF support for Newchim}
 In the new digital data acquisition we store the sampled signals, thus producing a huge set of raw data. The data rate can be evaluated at 3-5 TB/day in a experiment (without FARCOS). For example the last CHIMERA experiment in 2018 collected a total of 70 TB of data in two weeks of beam time.
-Clearly this easily saturates our local disk servers storage capabilities. We use the CNAF as main backup storage center: after data merging and processing, the raw data (signals) are reduced to physical variables in ROOT format, while the original raw data are copied and stored at CNAF. Copy is done in the {\it /storage/gpfs...} storage area in the general purpose tier1-UI machines by using the Tier-1 infrastructure and middleware software. In the future could be interesting to use also the CPU resources at CNAF in order to run the data merger and signal processing software directly on the copied data. Indeed we expect a significative increase of the storage resources needed when the FARCOS array will be fully operational.           
+Clearly this easily saturates our local disk servers storage capabilities. We use the CNAF as main backup storage center: after data merging and processing, the raw data (signals) are reduced to physical variables in ROOT format, while the original raw data are copied and stored at CNAF. Copy is done in the {\it /storage/gpfs...} storage area in the general purpose tier 1-UI machines by using the Tier 1 infrastructure and middleware software. In the future could be interesting to use also the CPU resources at CNAF in order to run the data merger and signal processing software directly on the copied data. Indeed we expect a significative increase of the storage resources needed when the FARCOS array will be fully operational.           
 
 \section*{References}
 
@@ -64,4 +64,4 @@ Clearly this easily saturates our local disk servers storage capabilities. We us
  012003
 \bibitem{cas18} A. Castoldi, C. Guazzoni, T. Parsani, 2018 {\it Nuovo Cimento C} {\bf 41} 168
 \end{thebibliography}
-\end{document}
\ No newline at end of file
+\end{document}

contributions/pett/bibliopett.bib

+
+@misc{opennext,
+  url = "http://www.t3lab.it/en/progetti/open-next/"
+}
+
+@misc{harmony,
+  url = "https://www.harmony-alliance.eu/"
+}
+
+@misc{htn,
+  url = "https://www.retealtatecnologia.it/en"
+}
+
+@misc{industry40,
+  url = "http://www.sviluppoeconomico.gov.it/images/stories/documenti/PIANO-NAZIONALE-INDUSTRIA-40_ITA.pdf "
+}
+
+@misc{opusfacere,
+  url = "http://www.opusfacere.it/"
+}
+
+@article{eee,
+  author={M Abbrescia and S Aiola and R Antolini and C Avanzini and R Baldini Ferroli and G Bencivenni and E Bossini and E Bressan and A
+Chiavassa and C Cicalo and L Cifarelli and E Coccia and D De Gruttula and S De Pasquale and A Di Giovanni and M D'Incecco and K
+Doroud and M Dreucci and F L Fabbri and V Frolov and M Garbini and G Gemme and I Gnesi and C Gustavino and D Hatzifotiadu and P La
+Rocca and S Li and F Librizzi and A Maggiora and M Massai and S Miozzi and R Moro and M Panareo and R Paoletti and L Perasso and F Pilo and G
+Piragino and A Regano and F Riggi and G C Righini and F Romano and G Sartorelli and E Scapparone and A Scribano and M Selvi and S
+Serci and E Siddi and G Spandre and S Squarcia and M Taiuti and F Toselli and L Votano and M C S Williams and A Zichichi and R Zouyevski},
+  title={The EEE Project: cosmic rays, multigap resistive plate chambers and high school students},
+  journal={Journal of Instrumentation},
+  volume={7},
+  number={11},
+  pages={P11011},
+  url={http://stacks.iop.org/1748-0221/7/i=11/a=P11011},
+  year={2012},
+  abstract={The Extreme Energy Events Project has been designed to join the scientific interest of a cosmic rays physics experiment with the enormous didactic potentiality deriving from letting it be carried out by high school students and teachers. After the initial phase, the experiment is starting to take data continuously, and the first interesting physics results have been obtained, demonstrating the validity of the idea of running a real physics investigation in these peculiar conditions. Here an overview of its structure and status is presented, together with some studies about detector performance and first physics results.}
+}
\ No newline at end of file

contributions/pett/pett.tex

+\documentclass[a4paper]{jpconf}
+
+\usepackage{url}
+%\usepackage[]{color}
+
+\usepackage{makecell}
+%usepackage{booktabs}
+\usepackage{siunitx}
+%\usepackage{subfig}
+\usepackage{float}
+%\usepackage{graphicx}
+
+\begin{document}
+\title{External Projects and Technology Transfer}
+\author{C. Vistoli$^1$, B. Martelli$^1$}
+\address{$^1$ INFN-CNAF, Bologna, IT} 
+
+
+\ead{barbara.martelli@cnaf.infn.it}
+
+\begin{abstract}
+External Projects and Technology Transfer Unit (PETT) main mission is the coordination of CNAF activities funded by external organizations (Region, Italian Ministry of Education, EU) and CNAF Technology Transfer actions. PETT Unit coordinates the INFN Technology Transfer Laboratory in Emilia Romagna (TTLab), accredited to the Emilia Romagna High Technology Network (HTN) since 2015. 
+In 2018 TTLab submitted 4 proposals to the POR-FESR Emilia Romagna call, and at the beginning of 2019 three of them were approved and funded: FORTRESS, WE-LIGHT and SmartChain.
+In the meantime, the TROPIC project, approved in the former POR-FESR call, continued to run smoothly and the Harmony project started to move from a Proof of Concept phase to the production one.
+In its first year of life, the ISO 27001 Information Security Management System (ISMS) had to manage the critical situation originated by the datacenter flood happened at the end of 2017 and it did it successfully, passing the ISO 27001 external audit without any non-conformity. 
+
+\end{abstract}
+
+\section{Introduction}
+During 2018 the External Projects and Technology Transfer (PETT) Organizational Unit has
+contributed to various projects in the field of computing, communication of science, technology
+transfer and education. Some of the most relevant ones are: FiloBlu (POR-FESR Regione
+Marche), Opus Facere (MIUR) \cite{opusfacere}, Emilia Romagna Plan for high
+competencies in Research Technology Transfer and Entrepreneurship \cite{altecompetenze}, OPEN-NEXT and TROPIC(POR-FESR
+2014-2020), Harmony \cite{harmony}. Great effort has been dedicated to the
+consolidation of the Technology Transfer Laboratory (INFN-TTLab) \cite{ttlab} which puts together heterogeneous
+competencies (physics, computing, mechanics and electronics) from Emilia Romagna INFN
+Sections and Centers (Bologna, Ferrara and CNAF) in order to promote the transfer of INFN
+know-how toward regional enterprises. In 2018 we operated the first year of life of the ISO-27001 ISMS consisting of a subset of INFN Tier 1 resources. This was required in order
+to store and manage private and sensitive personal data and could open new opportunities of
+exploitation of the Tier 1 resources in the near future.
+
+\section{The TROPIC project}
+TTLab is coordinating the TROPIC project (Target for Radioisotope Production via anti-Channelling) \cite{tropic} in a consortium with COMECER and Biomeccanica Srl.
+The project is part of the European Regional Development Plan POR-FESR Axis 1, Research and Innovation 2014-2020 of the Emilia-Romagna region.  Axis 1 aims at strengthening the regional network of research and technology transfer to companies with the purpose of increasing the ability to bring innovative solutions and products to the market. Through collaborations with researchers, it promotes innovation paths in the strategic areas of the regional production system and strengthens the high-tech network.
+The TROPIC project intends to explore a new radioisotope production method through the irradiation of solid targets in which a quantum effect called anti-channelling is exploited. Thanks to this effect, the probability of impact of the particle emitted by the accelerator on a crystalline matrix is much higher than the same dynamic but with a traditional amorphous solid target. This leads to an increase in the yield of nuclear bombardment and thus produces the desired isotope in larger quantities. The project intends to evaluate how much it is possible to save in terms of cost of the enriched material and how much the reaction yield grows in this particular configuration of the target. The ultimate goal is to make the production of these isotopes, extremely interesting from a diagnostic and therapeutic point of view, easier and less expensive.
+The theoretical research activity has already produced various results published in the past years.  The next step will be the experimental test and the realization of the first prototype.
+
+\section{The HARMONY Alliance}
+The HARMONY project (Healthcare alliance for resourceful medicines offensive against neoplasms in hematology) \cite{harmony} is part of IMI2 Big Data for Better Outcomes programme, which aims to facilitate the use of diverse data sources to deliver results that reflect health outcomes of treatments that are meaningful for patients, clinicians, regulators, researchers, healthcare decision-makers, and others.
+
+Blood cancers, or haematologic cancers (e.g. leukaemia, lymphoma and myeloma), affect the production and function of blood cells and account for about one third of cancer cases in children and about one third of cancer deaths. As many blood cancers are rare, and healthcare practice varies across EU, a lack of data on relevant outcomes represents a challenge for clinicians, researchers, and decision-makers alike. The HARMONY project aims to use big data to deliver information that will help to improve the care of patients with these diseases. Specifically, the project will gather together, integrate and analyze anonymous patient data from a number of high quality sources. This will help the team to define clinical endpoints and outcomes for these diseases that are recognized by all key stakeholders. Meanwhile the project data sharing platform will facilitate and improve decision making for policy makers and clinicians alike to help them to give the right treatment to the right patient at the right time. More broadly, the project will result in a pan-European network of stakeholders with expertise in this disease area.
+TTLab is involved as Linked Third Party of University of Bologna and is in charge of providing and managing the Harmony Big Data Platform Hosting in compliance with the ISO/IEC-27001 certification.
+
+\section{Other regional and national activities}
+In 2018, as industrial research lab of the Emilia Romagna High Technology Network \cite{htn}, TTLab carried out a number of activities in order to strengthen the link between research and industry sector. 
+
+In 2018 TTLab kept on contributing in the following Emilia Romagna Clust-ERs \cite{clusters}: 
+\begin{itemize}
+\item[--]INNOVATE (ICT): focused on the role of digital technologies as a means for innovate services in a global context and to emphasize their transformative power of the economy and society.
+\item[--]AGRIFOOD: covers the whole “from farm to fork” value chain, starting from the farmed produce all the way to the consumers’ plates, it includes ICT systems, equipment and machineries, transformation and packaging plants, logistics and food by-products and waste valorization.
+\item[--]CREATE: aims to improve the innovation in the culture and creative industries sector
+\item[--]HEALTH: focused on health related topics like biomed, pharmaceutical and omics sciences, smart and active living. In Emilia-Romagna there is the most important medtech district in Europe and regional policies encourage local research actors to team-up with private companies in order to maximize innovation. 
+\item[--]MECH: focused on the mech
+nics and motor sector. A number of worldwide famous brands both in the automotive and in the mechanical sector are located in the region. These companies are at the cutting edge of a corporate system and can take advantage of technologies developed by our research teams. 
+\item[--] BUILD: supports the innovation system in the building and construction field.
+\end{itemize}
+Clust-ERs are recognized Associations, formed in accordance with articles 14-42 of the Italian Civil Code. Clust-ER Associations are communities of public and private bodies (research centers, businesses, training bodies) that share ideas, skills, tools, and resources to support the competitiveness of the most important production systems in Emilia-Romagna. Thanks to Clust-ERs, research laboratories and centers for innovation belonging to the High Technology Network team up with the business system and the higher education system to make up the inter-disciplinary critical mass necessary to multiply opportunities and develop strategic projects with a high regional impact. Main objectives of Clust-ERs are: to maximize the opportunities for participating in European programs and international research and innovation networks, to forge synergies and set up coordinated and stable networks and connections with other public/private agglomerations operating in the same sectors at national and European level, to encourage and support the development and creation of initiatives in higher education and the development of human resources and to support the development of new research infrastructures.
+
+INFN is part of the National Cluster ``Intelligent Factories'' \cite{cfi}: an association that includes large and medium-small companies, universities and research centers, company associations and other stakeholders active in the advanced manufacturing sector. The association is recognized by MIUR as a driver of sustainable economic growth in all the regions of the national economic system, as it fosters the innovation and specialization of Italian manufacturing systems. The mission of CFI is to increase the competitiveness of the Italian manufacturing industry through the design and implementation of a number of research projects for the development of new enabling technologies; to maintain and develop advanced skill in Italian manufacturing; to increase Italian companies access to national and international funds; to support entrepreneurship and company growth through the involvement of private investors. The INFN participates in this National Cluster through INFN personnel. 
+
+TTLab participates in the Opus Facere project (Lab for Employability) \cite{opusfacere} with a course about Cosmic Rays Data Analysis, on the EEE \cite{eee} experiment data, where students of the fifth year of secondary school can understand and practice the job of data scientist and physicist. For more details, see dedicated contribution in this report. 
+
+In 2018 TTLab started the activities founded by the Regional Plan for High Competencies for Research, Technology Transfer and Entrepreneurship \cite{altecompetenze} (5 research grants) for industrial research activities in different areas: models and algorithms for genome sequencing analysis, geospatial data access and processing services, big data analysis of physical, astrophysical and aerospatial data, big data analysis for smart cities. In particular, the research grants activated are: 
+
+\begin{itemize}
+\item[--]Big Data Analysis: algorithms and models for the analysis of nucleic acid sequencing data  - partner CIG/Unibo
+\item[--]Big Data management: services for accessing and processing geospatial data in the era of Big Data – Industrial  partner MEEO s.r.l \cite{meeo} Meteorological Enviromental Earth Observation 
+\item[--]Big Data management: the analysis of data in the field of physics, astrophysics and space science industrial partner VEM Sistemi  S.p.A \cite{vem}
+\item[--]Big Data management: Big Data in Smart Cities Industrial partner Filippetti S.p.A \cite{filippetti}
+\end{itemize}
+  
+Three out of four proposals to Emilia Romagna POR-FESR 2018 call were funded: 
+\begin{itemize}
+\item[--] FORTRESS: coordinated by INFN-TTLab, targets the innovative use of thin film transistors as direct radiation detectors integrated into large area flexible patches for two innovative applications. Two demos will be developed: SAFEINJECT and BEAMGUARD.
+Two advanced material platforms: organic  and perovskite thin films. They share the unique capability of realizing simple, thin and flexible transistors able to directly detect ionizing radiation and apt to be fabricated as thin, lightweight, low-power operated, large-area 2D pixelated matrices.
+
+\item[--] WE-LIGHT (WEarable LIGHTing for smart accessories and apparels): coordinated by UniMoRe with participation of INFN-TTLab, proposes the creation of prototypes of sportswear integrated with different technological systems of electronic, optical and sensorial type, able to connect whoever wear to the external environment.
+\item[--] SmartChain: coordinated by UniMoRe with participation of INFN-TTLab, proposes the creation of a set of solutions based on
+blockchain technologies to identify and implement innovative platforms useful to businesses of the Emilia Romagna territory. The project will analyze the current production, certification and tracking scenarios supply chains, proposing and implementing software systems that can improve the efficiency of production chains.
+\end{itemize}
+
+Finally, PETT coordinated the participation of INFN to the BI-REX (Big data Innovation and Research Excellence) Competence Center and actively contributed to the proposal. The BI-REX Competence Center is a project funded by the Ministry of Economic Development in the scope of Industry-4.0 plan. It is composed by a pilot plant which aims to reconstruct an entire digital manufacturing process for mechanical components, which can demonstrate the potential of new technologies for production, while allowing the realization of finished products that can be used directly as demonstrators for different supply chains such as the automotive, mechatronics and biomedical industries.
+
+The pilot will be assisted by ICT systems for dynamic monitoring and reconfiguration of the various islands,
+both separately and in integration, and elastic cloud / edge platforms for data collection and analytics from
+sensors.
+The Bi-Rex Competence Center involves 49 companies, 7 universities and 5 research institutions and it is cofounded by Ministry of Economic Development and private partners. The total amount of the founding is about 20 MEuro.
+
+Bi-Rex main area of research are:
+
+\begin{itemize}
+\item[--] Additive Manufacturing
+\item[--] ICT and automation in manufacturing industries
+\item[--] Big Data and new digital business models
+\item[--] Logistics
+\item[--] Environmental and economical sustainability
+\end{itemize}
+
+CNAF will contribute to the Competence Center with its expertise on Big Data management and on Cloud integration with HPC, IoT and Edge technologies. 
+
+\section{SUPER}
+INFN-TTLab worked on the proposal preparation and participates in the SUPER Supercomputing infrastructure and Big Data Analytics for advanced applications in the field of life sciences, advanced materials and innovative production systems. The partnership is composed of 12 subjects and includes the major regional players for the following areas:
+\begin{itemize}
+\item[--] Supercomputing and big data: CINECA, INFN, which have world-class infrastructures, CMCC, and
+ENEA, which have national Tier 1 class systems; CNR, INAF and INGV that have departmental systems
+and qualifying databases within their institutional contexts.
+\item[--] Genomics, regenerative medicine, and biobanks: University of Bologna, University of Modena and
+Reggio Emilia, Rizzoli Orthopedic Institutes, University of Ferrara and University of Parma.
+\item[--] Innovative industrial materials and systems: University of Bologna, University of Modena and Reggio
+Emilia, CNR, University of Ferrara, University of Parma, ENEA.
+\end{itemize}
+
+
+\section{Outreach}
+INFN CNAF Knowledge Transfer strategy roots in its connections with the INFN central structures related to this purpose (INFN External funds unit and INFN National Technology Transfer Committee) and takes advantage of its relationships with local economy and regional administration. The PETT Unit is coordinating the actions needed to translate this strategy into reality. CNAF and the PETT Unit are strongly committed to leverage the virtuous relationship between the datacenter personnel's big-data competencies and the R\&D activities, both at the forefront of technology, in order to bring back to society this innovation force. In fact, thanks to the experience gained running the LHC computing infrastructures, CNAF personnel is probably within the most skilled staffs in Italy in the field of big data management and HPC computing. Moreover, in the field of Cloud Computing CNAF has a primary role as R\&D actor and integrator of Cloud technologies with Internet of Things, Low Power computing and Edge computing systems.
+All of them (big data, HPC and cloud computing) are some of the key technologies mentioned by the Italian Ministry of Economic Development National Plan Impresa 4.0 (formerly Industria 4.0) as a driver to improve competitiveness in the industrial sector, making CNAF one of the most promising actors in the technology transfer field.
+INFN mission includes, in addition to research, the transfer to the society of the acquired knowledge. This definition means both the transfer of know-how in the form of training and technology transfer, and the dissemination of scientific culture. In order to make its intervention more effective, in 2016 the INFN was equipped with a Coordination Committee for the Third Mission (CC3M). The primary objective of this Committee is to coordinate local initiatives for the dissemination of scientific culture with national impact to strengthen its effectiveness. CNAF is linked to CC3M through a local representative (from the PETT Unit) whom reports local activities to the Committee. 
+
+Main outreach activities performed by CNAF personnel are:
+
+\begin{itemize}
+\item[--] Training internships (summer students, curricular internships) \cite{summerstudents}
+\item[--] Guided tours in the Tier 1 datacenter premises
+\item[--] Coordination and holding of University and PhD courses on the topic of Infrastructure for Big
+Data processing
+\item[--] Outreach events like The European Researchers' Night 2017 an initiative promoted by the European Commission since 2005 (Marie Sklodowska-Curie actions) which involves thousands of researchers and research institutions in all European countries every year. It takes place every year throughout Europe on the last Friday of September. The goal is to create opportunities for researchers and citizens to meet to spread the scientific culture and knowledge of research professions in an informal and stimulating context. CNAF contributes to events such as live scientific experiments and demonstrations, exhibitions and guided tours, conferences and informative seminars, shows, concerts and artistic performances.
+\item[--] School-work alternation within the OpusFacere Territorial Laboratory for Employability \cite{opusfacere}an innovative educational project that comes from a network composed by educational institutes of the Metropolitan City of Bologna and public and private partners of the territory. In this context,
+CNAF designed and hold a course named Cosmic Rays Data Analysis based on data collected by the Extreme Energy Events project and aimed at teach high school students the job of physicist \cite{eee-opusfacere}. 
+\end{itemize}
+
+\section{Conclusions}
+In 2018 the External Projects and Technology Transfer group consolidated its collaboration with the research and innovation regional system participating and contributing to many initiatives aimed at creating a strong partnership between the research and industry sectors. 
+
+
+\section*{References}
+\begin{thebibliography}{9}
+\bibitem{altecompetenze} \url{https://formazionelavoro.regione.emilia-romagna.it/alta-formazione-ricerca/approfondimenti/piano-alte-competenze}, site visited on June 2019.
+\bibitem{harmony}  \url{https://www.harmony-alliance.eu/},site visited on June 2019.
+\bibitem{ttlab} \url{https://ttlab.infn.it/}, site visited on June 2019.
+\bibitem{tropic} \url{https://agenda.infn.it/event/15101/contributions/28472/attachments/20303/23011/TROPIC_20190213_ebagli.pdf},  site visited on June 2019.
+\bibitem{htn}  \url{https://www.retealtatecnologia.it/en}, site visited on June 2019.
+\bibitem{clusters} \url{https://www.retealtatecnologia.it/en/clust-er site}, visited on June 2019.
+\bibitem{cfi} \url{https://www.fabbricaintelligente.it/}, site visited on June 2019.
+\bibitem{meeo} \url{http://www.meeo.it/wp/}, site visited on June 2019.
+\bibitem{vem} \url{https://vem.com/en/},  site visited on June 2019.
+\bibitem{filippetti} \url{https://www.filippetti.it/en/},  site visited on June 2019.
+\bibitem{opusfacere} \url{http://www.opusfacere.it/}, site visited on June 2019.
+\bibitem{eee} \url{https://eee.centrofermi.it/}, site visited on June 2019.
+\bibitem{eee-opusfacere} Martelli B, Noferini F, Pellegrino C, Ronchieri E, Vistoli C, Seminar \emph{Cosmic Rays Data Analysis: insegnando Python con un Jupyter Notebook} \url{https://agenda.infn.it/event/19607/}, site visited on June 2019.
+\bibitem{summerstudents} \url{https://agenda.infn.it/event/17430/}, site visited on June 2019.
+\end{thebibliography}
+\end{document}