scholarly journals Characterization of Highly Irradiated ALPIDE Silicon Sensors

Universe ◽  
2019 ◽  
Vol 5 (4) ◽  
pp. 91
Author(s):  
Valentina Raskina ◽  
Filip Křížek

The ALICE (A Large Ion Collider Experiment) experiment at CERN will upgrade its Inner Tracking System (ITS) detector. The new ITS will consist of seven coaxial cylindrical layers of ALPIDE silicon sensors which are based on Monolithic Active Pixel Sensor (MAPS) technology. We have studied the radiation hardness of ALPIDE sensors using a 30 MeV proton beam provided by the cyclotron U-120M of the Nuclear Physics Institute of the Czech Academy of Sciences in Řež. In this paper, these long-term measurements will be described. After being irradiated up to the total ionization dose 2.7 Mrad and non-ionizing energy loss 2.7 × 10 13 1 MeV n eq · cm - 2 , ALPIDE sensors fulfill ITS upgrade project technical design requirements in terms of detection efficiency and fake-hit rate.

2018 ◽  
Vol 14 ◽  
pp. 21
Author(s):  
Tomas Matlocha ◽  
Filip Krizek

The U-120M cyclotron at the Nuclear Physics Institute (NPI) of the Czech Academy of Sciences in Rez is used for radiation hardness tests of electronics for high-energy physics experiments. These tests are usually carried out with proton fluxes of the order of 10<sup>5</sup>–10<sup>9</sup> proton·cm<sup>−2</sup>·s<sup>−1</sup>. Some tests done for the upgrade of the Inner Tracking System of the ALICE experiment at CERN, however, required proton beam intensities several orders of magnitude lower. This paper presents a method which has been developed to achieve the proton beam flux of the order of 1 proton · cm<sup>−2</sup>·s<sup>−1</sup>. The method is mainly based on reduction of the discharge current in the cyclotron internal Penning type ion source. Influence of this new operation mode on the lifetime of ion source cathodes is discussed.


2018 ◽  
Vol 184 ◽  
pp. 02014
Author(s):  
I. Siváček ◽  
J. Mrázek ◽  
V. Kroha ◽  
V. Burjan ◽  
V. Glagolev ◽  
...  

Two nuclear reactions of astrophysical interest, 26Mg(3He,d)27Al and 26Mg(d,p)27Mg, were measured for extraction of the Asymptotic Normalization Coefficients. Investigation of the target composition is presented, as well as the effects that showed up during analysis of the in-beam data obtained on CANAM accelerators in the Nuclear Physics Institute of the Czech Academy of Sciences (NPI CAS).


2016 ◽  
Vol 35 (1) ◽  
pp. 72-80 ◽  
Author(s):  
M. Cutroneo ◽  
A. Mackova ◽  
L. Torrisi ◽  
V. Lavrentiev

AbstractThis work reports a comparative study of laser ion implantation mainly performed at the Nuclear Physics Institute in Rez (Czech Republic), National Institute of Nuclear Physics (Italy), and the Plasma Physics Laboratory at the University of Messina (Italy) using different approaches. Thick metallic targets were irradiated in vacuum by a focused laser beam to generate plasma-producing multi-energy and multi-species ions. A post-acceleration system was employed in order to increase the energy of the produced ions and to generate ion beams suitable to be implanted in different substrates. The ion dose was controlled by the laser repetition rate and the time of irradiation. Rutherford backscattering analysis was carried out to evaluate the integral amount of implanted ion species, the concentration–depth profiles, the ion penetration depth, and the uniformity of depth profiles for ions laser implanted into monocrystalline substrates. The laser implantation under normal conditions and in post-acceleration configuration will be discussed on the basis of the characterization of the implanted substrates.


2020 ◽  
Vol 49 ◽  
pp. 111-120
Author(s):  
Vladimir Ivanovich Mazhukin ◽  
◽  
Žarkop Pavićević ◽  
Olga Nikolaevna Koroleva ◽  
Alexander Vladimirovich Mazhukin ◽  
...  

The article is dedicated to the 80th anniversary of the birth of the Soviet and Russian theoretical physicist, Doctor of Physical and Mathematical Sciences A.A. Samokhin, Chief Researcher of the Theoretical Department of the Institute of Prokhorov General Physics Institute of the RAS, a regular contributor to Mathematica Montisnigri and a long-term active participant in the international scientific seminar "Mathematical Models and Modeling in Laser-Plasma Processes and Advanced Scientific Technologies" (LPpM3), one of the founders of which is Mathematica Montisnigri.


2020 ◽  
Vol 245 ◽  
pp. 03034
Author(s):  
Martin Adam ◽  
Dagmar Adamová ◽  
Jiří Chudoba ◽  
Alexandr Mikula ◽  
Michal Svatoš ◽  
...  

The Computing Center of the Institute of Physics (CC IoP) of the Czech Academy of Sciences provides compute and storage capacity to several physics experiments. Most resources are used by two LHC experiments, ALICE and ATLAS. In the WLCG, which coordinates computing activities for the LHC experiments, the computing center is Tier-2. The rest of computing resources is used by astroparticle experiments like the Pierre Auger Observatory (PAO) and the Cherenkov Telescope Array (CTA) or particle experiments like NOvA and DUNE. Storage capacity is distributed to several locations. DPM servers used by the ATLAS and the PAO are all in the same server room. ALICE uses several xrootd servers located at the Nuclear Physics Institute in Rez, about 10 km away. The storage capacity for the ATLAS and the PAO is extended by resources of the CESNET (the Czech National Grid Initiative representative) located in Ostrava, more than 100 km away from the CC IoP. Storage is managed by dCache instance, which is published in the CC IoP BDII. ATLAS users can use these resources using the standard ATLAS tools in the same way as the local storage without noticing this geographical distribution. The computing center provides about 8k CPU cores which are used by the experiments based on fair-share. The CPUs are distributed amongst server rooms in the Institute of Physics, in the Faculty of Mathematics and Physics of the Charles University, and in CESNET. For the ATLAS experiment, the resources are extended by opportunistic usage of the Salomon HPC provided by the Czech national HPC center IT4Innovations in Ostrava. The HPC provides 24-core nodes. The maximum number of allowed single-node jobs in the batch system is 200. The contribution of the HPC to the CPU consumption by the ATLAS experiment is about 15% on average.


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