Performances of silicone coated high resistive bakelite RPC

Performances of several single gap (gas gap 2 mm) prototype Resistive Plate Chambers (RPC) made of high resistive ({\rho} \sim 1010 - 1012 {\Omega} cm) bakelite, commercially available in India have been studied in recent times. To make the inner electrode surfaces smooth, a thin coating of silicone has been applied. An efficiency > 90% and time resolution \sim 2 ns (FWHM) have been obtained for both the streamer and the avalanche mode. The induced charge distributions of those silicone coated RPC are studied and the results are presented. A numerical study on the effect of surface roughness of the resistive electrodes on the electric field of the device has been carried out using Garfield-neBEM code. A few results for a simplified model representing surface roughness, measured using a surface profilometer for the bakelite surfaces, have also been presented

Bibliometric Review of FPGA Based Implementation of CNN

Nowadays Convolution Neural Network (CNN) has become the state of the art for machine learning algorithms due to their high accuracy. However, implementation of CNN algorithms on hardware platforms becomes challenging due to high computation complexity, memory bandwidth and power consumption. Hardware accelerators such as Graphics Processing Unit (GPU), Field Programmable Gate Array (FPGA), Application Specific Integrated Circuit (ASIC) are suitable platforms to model CNN algorithms. Recently FPGAs have been considered as an attractive platform for CNN implementation. Modern FPGAs have various embedded hardware and software blocks such as a soft processor, DSP slice and memory blocks. These embedded resources along with customized logic blocks, makes FPGA a perfect candidate for CNN model. Also, the major advantage of FPGA in the case of CNN is its parallelism and pipelining architecture which helps to accelerate CNN operations. The primary goal of this bibliometric review is to determine the scope of current literature in the field of implementing CNN algorithms on various hardware platforms, with a particular emphasis on the FPGA platform for CNN-based applications. Data from Scopus is mostly used in this bibliometric analysis. It reveals that researchers from China, India, and the United Kingdom make the most significant contributions in the form of conferences, journals, and book proceedings. All the documents are from subject areas of Engineering, Computer Science, Mathematics, Physics and Astronomy, Decision Sciences, and Material Science make significant contributions

The reality of the use of growth hormones in fish (Rui (Labeo rohita), Catla (Catla catla), and Monosex Tilapia (Oreochromis niloticus) production

The unobservable use of hormones in fish production is becoming an alarming issue worldwide. To reveal the fact in Bangladesh, 144 fish samples (rui (Labeo rohita), catla (Catla catla), and monosex tilapia (Oreochromis niloticus)) were collected from different fish farms and markets of Mymensingh district. The market samples had two sources (Mymensingh and Rajshahi district). The steroid hormonal (testosterone, estrogen, and progesterone) residue was analyzed by HPLC-UV detection. A standard questionnaire survey was conducted where most farmers (80%) denied using the hormone in fish production. Among the analyzed samples of all three fishes, hormonal residues were detected in approximately 98% of samples, and around 92% contained residues above the ADI. Among the contaminated samples, 70% of samples had a single residue and 30% had multiple residues. The testosterone and progesterone hormonal residue was detected in all three fishes in both farm and market samples and ranged (above ADI) from 2.1 to 16.96 μg/kg and 31.47–731.57 μg/kg (p < 0.05) respectively. The estrogen hormone residue was only detected in market samples (Rajshahi district) of rui and catla and no residue was detected in tilapia fish and the hormone level (above ADI) ranged from 8.23 to 40.13 μg/kg. This study revealed that the use of hormones varies on the attitude of farmers based on the local culture pattern as estrogen hormone residue was only detected in market samples. The consumption of contaminated fish at such concentrations may cause many health hazards in humans, especially in children. Thus, this study reveals a new alarming fact to focus on, and an effective monitoring system should be implemented as soon as possible for public health concerns

Abstracts of 1st International Conference on Machine Intelligence and System Sciences

This book contains the abstracts of the papers presented at the International Conference on Machine Intelligence and System Sciences (MISS-2021) Organized by the Techno College of Engineering, Agartala, Tripura, India &amp; Tongmyong University, Busan, South Korea, held on 1–2 November 2021. This conference was intended to enable researchers to build connections between different digital technologies based on Machine Intelligence, Image Processing, and the Internet of Things (IoT). Conference Title: 1st International Conference on Machine Intelligence and System SciencesConference Acronym: MISS-2021Conference Date: 1–2 November 2021Conference Location: Techno College of Engineering Agartala, Tripura(w), IndiaConference Organizer: Techno College of Engineering, Agartala, Tripura, India &amp; Tongmyong University, Busan, South Korea

Jet fragmentation transverse momentum distributions in pp and p-Pb collisions at s \sqrt{s} , sNN \sqrt{s_{\mathrm{NN}}} = 5.02 TeV

Jet fragmentation transverse momentum (j$_{T}$) distributions are measured in proton-proton (pp) and proton-lead (p-Pb) collisions at $\sqrt{s_{\mathrm{NN}}}$ = 5.02 TeV with the ALICE experiment at the LHC. Jets are reconstructed with the ALICE tracking detectors and electromagnetic calorimeter using the anti-k$_{T}$ algorithm with resolution parameter R = 0.4 in the pseudorapidity range |η| < 0.25. The j$_{T}$ values are calculated for charged particles inside a fixed cone with a radius R = 0.4 around the reconstructed jet axis. The measured j$_{T}$ distributions are compared with a variety of parton-shower models. Herwig and Pythia 8 based models describe the data well for the higher j$_{T}$ region, while they underestimate the lower j$_{T}$ region. The j$_{T}$ distributions are further characterised by fitting them with a function composed of an inverse gamma function for higher j$_{T}$ values (called the “wide component”), related to the perturbative component of the fragmentation process, and with a Gaussian for lower j$_{T}$ values (called the “narrow component”), predominantly connected to the hadronisation process. The width of the Gaussian has only a weak dependence on jet transverse momentum, while that of the inverse gamma function increases with increasing jet transverse momentum. For the narrow component, the measured trends are successfully described by all models except for Herwig. For the wide component, Herwig and PYTHIA 8 based models slightly underestimate the data for the higher jet transverse momentum region. These measurements set constraints on models of jet fragmentation and hadronisation

Measurements of the groomed and ungroomed jet angularities in pp collisions at s \sqrt{s} = 5.02 TeV

International audienceThe jet angularities are a class of jet substructure observables which characterize the angular and momentum distribution of particles within jets. These observables are sensitive to momentum scales ranging from perturbative hard scatterings to nonperturbative fragmentation into final-state hadrons. We report measurements of several groomed and ungroomed jet angularities in pp collisions at $\sqrt{s}$ = 5.02 TeV with the ALICE detector. Jets are reconstructed using charged particle tracks at midrapidity (|η| < 0.9). The anti-k$_{T}$ algorithm is used with jet resolution parameters R = 0.2 and R = 0.4 for several transverse momentum {p}_{\mathrm{T}}^{\mathrm{ch}} ^{jet} intervals in the 20–100 GeV/c range. Using the jet grooming algorithm Soft Drop, the sensitivity to softer, wide-angle processes, as well as the underlying event, can be reduced in a way which is well-controlled in theoretical calculations. We report the ungroomed jet angularities, λ$_{α}$, and groomed jet angularities, λ$_{α,g}$, to investigate the interplay between perturbative and nonperturbative effects at low jet momenta. Various angular exponent parameters α = 1, 1.5, 2, and 3 are used to systematically vary the sensitivity of the observable to collinear and soft radiation. Results are compared to analytical predictions at next-to-leading-logarithmic accuracy, which provide a generally good description of the data in the perturbative regime but exhibit discrepancies in the nonperturbative regime. Moreover, these measurements serve as a baseline for future ones in heavy-ion collisions by providing new insight into the interplay between perturbative and nonperturbative effects in the angular and momentum substructure of jets. They supply crucial guidance on the selection of jet resolution parameter, jet transverse momentum, and angular scaling variable for jet quenching studies.[graphic not available: see fulltext

Inclusive quarkonium production in pp collisions at s=5.02\sqrt{s} = 5.02 TeV

This article reports on the inclusive production cross section of several quarkonium states, $\mathrm{J}/\psi$, $\psi {\rm (2S)}$, $\Upsilon\rm(1S)$, $\Upsilon\rm(2S)$, and $\Upsilon\rm(3S)$, measured with the ALICE detector at the LHC, in \pp collisions at $\sqrt{s} = 5.02$ TeV. The analysis is performed in the dimuon decay channel at forward rapidity ($2.5 < y < 4$). The measured cross sections, assuming unpolarized quarkonia, are: $\sigma_{\mathrm{J}/\psi} = 5.88 \pm 0.03 \pm 0.34\ \mu$b, $\sigma_{\psi {\rm (2S)}} = 0.87 \pm 0.06 \pm 0.10\ \mu$b, $\sigma_{\Upsilon\rm(1S)} = 45.5 \pm 3.9 \pm 3.5$ nb, $\sigma_{\Upsilon\rm(2S)} = 22.4 \pm 3.2 \pm 2.7$ nb, and $\sigma_{\Upsilon\rm(3S)} = 4.9 \pm 2.2 \pm 1.0$ nb, where the first (second) uncertainty is the statistical (systematic) one. The transverse-momentum ($p_{\rm T}$) and rapidity ($y$) differential cross sections for $\mathrm{J}/\psi$, $\psi {\rm (2S)}$, $\Upsilon\rm(1S)$, and the $\psi {\rm (2S)}$-to-$\mathrm{J}/\psi$ cross section ratios are presented. For the first time, the cross sections of the three $\Upsilon$ states, as well as the $\psi {\rm (2S)}$ one as a function of $p_{\rm T}$ and $y$, are measured at $\sqrt{s} = 5.02$ TeV at forward rapidity. These measurements also significantly extend the $\mathrm{J}/\psi$$p_{\rm T}$ reach with respect to previously published results. A comparison with ALICE measurements in pp collisions at $\sqrt{s} = 2.76$, 7, 8, and 13 TeV is presented and the energy dependence of quarkonium production cross sections is discussed. Finally, the results are compared with the predictions from several production models

Forward rapidity J/ψ production as a function of charged-particle multiplicity in pp collisions at s \sqrt{s} = 5.02 and 13 TeV

International audienceThe production of J/ψ is measured as a function of charged-particle multiplicity at forward rapidity in proton-proton (pp) collisions at center-of-mass energies $\sqrt{s}$ = 5.02 and 13 TeV. The J/ψ mesons are reconstructed via their decay into dimuons in the rapidity interval (2.5 < y < 4.0), whereas the charged-particle multiplicity density (dN$_{ch}$/dη) is measured at midrapidity (|η| < 1). The production rate as a function of multiplicity is reported as the ratio of the yield in a given multiplicity interval to the multiplicity-integrated one. This observable shows a linear increase with charged-particle multiplicity normalized to the corresponding average value for inelastic events (dN$_{ch}$/dη/〈dN$_{ch}$/dη〉), at both the colliding energies. Measurements are compared with available ALICE results at midrapidity and theoretical model calculations. First measurement of the mean transverse momentum (〈p$_{T}$〉) of J/ψ in pp collisions exhibits an increasing trend as a function of dN$_{ch}$/dη/〈dN$_{ch}$/dη〉 showing a saturation towards high charged-particle multiplicities.[graphic not available: see fulltext

Measurement of the Cross Sections of Ξc0\Xi^0_{c} and Ξc+\Xi^+_{c} Baryons and of the Branching-Fraction Ratio BR(Ξc0→Ξ−e+νe\Xi^0_{c} \rightarrow \Xi^-{e}^+\nu_{ e})/BR(Ξc0→Ξ−π+\Xi^0_{c} \rightarrow \Xi^-\pi^+) in pp collisions at 13 TeV

The $p_T$-differential cross sections of prompt charm-strange baryons Ξ$_c^0$ and Ξ$_c^+$ were measured at midrapidity (|y|<0.5) in proton-proton (pp) collisions at a center-of-mass energy $\sqrt{s}$ = 13 TeV with the ALICE detector at the LHC. The Ξ$_c^0$ baryon was reconstructed via both the semileptonic decay (Ξ$^-$e$^+$ν$_e$) and the hadronic decay (Ξ$^-$π$^+$) channels. The Ξ$_c^+$ baryon was reconstructed via the hadronic decay (Ξ$^-$π$^+$π$^+$) channel. The branching-fraction ratio BR(Ξ$_c^0$→Ξ$^-$e$^+$ν$_e$)/BR(Ξ$_c^0$→Ξ$^-$π$^+$) = 1.38±0.14(stat)±0.22(syst) was measured with a total uncertainty reduced by a factor of about 3 with respect to the current world average reported by the Particle Data Group. The transverse momentum ($p_T$) dependence of the Ξ$_c^0-$ and Ξ$_c^+$-baryon production relative to the D$^0$ meson and to the Σ$_c^{0,+,++}$- and Λ$_c^+$-baryon production are reported. The baryon-to-meson ratio increases toward low $p_T$ up to a value of approximately 0.3. The measurements are compared with various models that take different hadronization mechanisms into consideration. The results provide stringent constraints to these theoretical calculations and additional evidence that different processes are involved in charm hadronization in electron-positron (e$^+$e$^-$) and hadronic collisions