arXiv subjects

Deepak Samuel

Publications and source records attributed to Deepak Samuel.

8 recordsLinked to original sources

arXiv2026

Cosmic muon arrival directions as a source of entropy

We demonstrate, for the first time, that the arrival directions of cosmic-ray muons from a muon telescope provide a measurable source of physical entropy. Using six months of data collected from a muon telescope, the local zenith and azimuth angles were used for randomness extraction. The result of this study show that each cosmic muon track from our detector can generate upto 4 bits with an entropy of 0.999182 bits/bit with a maximum bit rate of roughly 650 bits/s which can possibly be enhanced by improving the detector size and angular resolution. The suggested technique can be potentially used as a random number generator required for closing the settings-independence loophole in the tests for violations of Bell's inequality. The data acquisition, data reduction, and conditioning algorithms are discussed in detail.

hep-ex↗

arXiv2025

GPU-based track-finding for the J-PARC muon g-2/EDM experiment

The muon \textit{g-2}/EDM experiment at J-PARC is designed to precisely measure the muon's magnetic moment and electric dipole moment, driven by discrepancies between theory and previous experiments. A key challenge is the fast reconstruction of positron tracks from multiple muon decays within a short time span causing an event pileup. One of the aspects is the identification of individual positron tracks from the reconstructed hits, which is currently done using a hough-transform based approach. Results from simulation studies have shown expected results in terms of efficiency and accuracy of track reconstruction. However, the execution time for the entire analysis chain is prohibitively long to be deployed in the experiment. Specifically, preliminary estimations suggest a requirement of 40 $\times$ speedup of the track-finding routine. In this context, we explore a GPU-based solution to accelerate track-finding through parallel processing and present the implementation details and the results of our study for different pileup conditions. The results indicate that the GPU solution far exceeds our expectation in terms of execution speed without compromising on the reconstruction efficiency.

hep-ex↗

arXiv2025

Dynamics of Hot QCD Matter 2024 -- New facilities and instrumentation

This part of the conference proceeding provides a detailed overview of cutting-edge advancements in detector technologies, focusing on their optimization, characterization, and applications in particle physics experiments. Building on the insights and developments presented at the Hot QCD Matter 2022 conference, this section of the Hot QCD Matter 2024 proceedings highlights significant advancements in detector technologies. The development of Low Gain Avalanche Diodes (LGADs) into Ultra-Fast Silicon Detectors is explored, demonstrating their potential for superior timing resolution in future high-energy experiments. Simulation studies of Micropattern Gaseous Detectors (MPGDs), including MICROMEGAS and Gas Electron Multiplier (GEM) detectors, provide insights into their performance under high-radiation environments using tools like ANSYS and GARFIELD$^{++}$. A novel GEM foil geometry is proposed for improved gain and durability. Characterization of semiconductor detectors, such as Monolithic MALTA pixel detectors and CMS prototype silicon sensors, is also presented, highlighting their radiation tolerance, imaging capabilities, and structural integrity. These studies underscore the critical role of silicon sensors in ensuring detector reliability and performance. Additionally, the J-PARC muon g-2/EDM experiment is reviewed, showcasing its precision measurements to test Standard Model predictions and explore potential physics beyond. By addressing the interplay between detector development, simulation, and characterization, this proceeding showcases a collective effort toward advancing detector technologies and their pivotal role in pushing the boundaries of modern particle physics.

hep-ex↗

arXiv2024

Exploring Advanced Detector Technologies for Muon Radiography Applications

Muon radiography often referred to as muography, is an imaging technique that uses freely available cosmic-ray muons to study the interior structure of natural or man-made large-scale objects. The amount of multidisciplinary applications of this technique keeps increasing over time and a variety of basic detector types have already been used in the construction of muon telescopes. Here, we are investigating the use of advanced gaseous detectors for muography. As our basic solution, given its robustness and ease of operation in remote, outdoor environments, a scintillator-based muon telescope with silicon photomultiplier readout is being developed. To enhance the telescope performance, we are proposing the use of Multi-gap Resistive Plate Chambers (mRPCs) and Thick Gas Electron Multipliers (THGEMs). While the former offer superior time resolution which could be beneficial for detector background rejection, the latter detector type offers excellent spatial resolution, can be manufactured at low cost and operated with a simple gas mixture. Currently, prototype detector planes for each of these proposed types are being designed and constructed, and initial performance tests are in progress. In parallel, a Geant4- based muon telescope simulation is being developed, which will enable us to e.g. optimize our telescope geometry and study the use of superior time resolution for background rejection. The design and status of the three detector prototype planes and the muon telescope, along with the initial results of their performance tests and of the Geant4 simulation studies are reported.

physics.ins-det↗

arXiv2020

Simple: A pedagogic tool for nuclear reactions and particle interactions with matter

Nuclear and particle physics are the core components of most undergraduate and postgraduate physics courses worldwide. While few fundamental concepts like particle counting and detector characterisation are taught in tandem with laboratory sessions, advanced techniques like cross-section measurement, track reconstruction, etc., are usually not taught extensively. At the same time, modern particle physics experiments require students to have advanced skills in statistical treatment of data, which cannot be covered in detail in the regular coursework. A software named Simple has been developed to simulate particle physics experiments, based on which, skills necessary for particle physics studies can be easily imparted. Simple is based on Geant4 libraries, widely used by the high energy physics community to simulate particle interactions with matter. Unlike Geant4, Simple is designed to be a standalone application requiring no prior programming knowledge to run a simulation and the time consuming compilation step is also avoided. In this paper, the features of this software along with few sample simulations are presented. Though the emphasis of this paper is on the use of Simple as a pedagogical aid, this application can also be used as a general purpose simulation framework for particle physics analyses.

physics.ins-det↗

arXiv2018

Artificial Neural Networks-based Track Fitting of Cosmic Muons through Stacked Resistive Plate Chambers

The India-based Neutrino Observatory (INO) collaboration, as part of its detector R\&D program, has developed prototype stacks of resistive plate chambers (RPCs) to study their performance. These stacks have also been used as testbenches for the development of related hardware and software. A crucial parameter in the characterisation of these detectors and other physics studies is the detection efficiency, which is estimated from track fitting of cosmic muons passing through the stack. So far, a simple straight line fit was used for track fitting, which was sensitive to noise hits and led to rejection of events. In this paper, we present our first results of using artificial neural networks (ANN) for track fitting of cosmic muons traversing a stack of RPCs. We present in detail, the simulation framework designed for this purpose and show that ANN offers better track reconstruction efficiency than straight line fitting. We also discuss the influence of noise and detection efficiency of cosmic muons on the track reconstruction efficiency.

physics.ins-det↗

arXiv2016

Angular resolution of stacked resistive plate chambers

We present here detailed derivations of mathematical expressions for the accuracy in the arrival direction of particles estimated using a set of stacked resistive plate chambers (RPCs). The expressions are validated against experimental results using data collected from the prototype detectors (without magnet) of the upcoming India-based Neutrino Observatory (INO). We also present a theoretical estimate of angular resolution of such a setup. In principle, these expressions can be used for any other detector with an architecture similar to that of RPCs.

physics.ins-det↗

arXiv2015

Physics Potential of the ICAL detector at the India-based Neutrino Observatory (INO)

The upcoming 50 kt magnetized iron calorimeter (ICAL) detector at the India-based Neutrino Observatory (INO) is designed to study the atmospheric neutrinos and antineutrinos separately over a wide range of energies and path lengths. The primary focus of this experiment is to explore the Earth matter effects by observing the energy and zenith angle dependence of the atmospheric neutrinos in the multi-GeV range. This study will be crucial to address some of the outstanding issues in neutrino oscillation physics, including the fundamental issue of neutrino mass hierarchy. In this document, we present the physics potential of the detector as obtained from realistic detector simulations. We describe the simulation framework, the neutrino interactions in the detector, and the expected response of the detector to particles traversing it. The ICAL detector can determine the energy and direction of the muons to a high precision, and in addition, its sensitivity to multi-GeV hadrons increases its physics reach substantially. Its charge identification capability, and hence its ability to distinguish neutrinos from antineutrinos, makes it an efficient detector for determining the neutrino mass hierarchy. In this report, we outline the analyses carried out for the determination of neutrino mass hierarchy and precision measurements of atmospheric neutrino mixing parameters at ICAL, and give the expected physics reach of the detector with 10 years of runtime. We also explore the potential of ICAL for probing new physics scenarios like CPT violation and the presence of magnetic monopoles.

physics.ins-det↗