This work discusses a large-scale, coded-aperture imager for fast neutrons, building off a proof-of concept instrument developed at the U.S. Naval Research Laboratory (NRL). The Space Science Division at the NRL has a heritage of developing large-scale, mobile systems, using coded-aperture imaging, for long-range γ-ray detection and localization. The fast-neutron, coded-aperture imaging instrument, designed for a mobile unit (20 ft. ISO container), consists of a 32-element array of 15 cm � 15 cm � 15 cm liquid scintillation detectors (EJ-309) mounted behind a 12 � 12 pseudorandom coded aperture. The elements of the aperture are composed of 15 cm � 15 cm � 10 cm blocks of high-density polyethylene (HDPE). The arrangement of the aperture elements produces a shadow pattern on the detector array behind the mask. By measuring of the number of neutron counts per masked and unmasked detector, and with knowledge of the mask pattern, a source image can be deconvolved to obtain a 2-d location. The number of neutrons per detector was obtained by processing the fast signal from each PMT in flash digitizing electronics. Digital pulse shape discrimination (PSD) was performed to filter out the fastneutron signal from the γ background. The prototype instrument was tested at an indoor facility at the NRL with a 1.8-μCi and 13-μCi 252Cf neutron/γ source at three standoff distances of 9, 15 and 26 m (maximum allowed in the facility) over a 15-min integration time. The imaging and detection capabilities of the instrument were tested by moving the source in half- and one-pixel increments across the image plane. We show a representative sample of the results obtained at one-pixel increments for a standoff distance of 9 m. The 1.8-μCi source was not detected at the 26-m standoff. In order to increase the sensitivity of the instrument, we reduced the fastneutron background by shielding the top, sides and back of the detector array with 10-cm-thick HDPE. This shielding configuration led to a reduction in the background by a factor of 1.7 and thus allowed for the detection and localization of the 1.8 μCi. The detection significance for each source at different standoff distances will be discussed. Published by Elsevier B.V.

Nuclear Instruments and Methods in Physics Research A

A muon detection system (MUCH) based on a novel concept using a segmented and instrumented absorber has been designed for high-energy heavy-ion collision experiments. The system consists of 6 hadron absorber blocks and 6 tracking detector triplets. Behind each absorber block a detector triplet is located which measures the tracks of charged particles traversing the absorber. The performance of such a system has been simulated for the CBM experiment at FAIR (Germany) that is scheduled to start taking data in heavy ion collisions in the beam energy range of 6–45 A GeV from 2019. The muon detection system is mounted downstream to a Silicon Tracking System (STS) that is located in a large aperture dipole magnet which provides momentum information of the charged particle tracks. The reconstructed tracks from the STS are to be matched to the hits measured by the muon detector triplets behind the absorber segments. This method allows the identification of muon tracks over a broad range of momenta including tracks of soft muons which do not pass through all the absorber layers. Pairs of oppositely charged muons identified by MUCH could therefore be combined to measure the invariant masses in a wide range starting from low mass vector mesons (LMVM) up to charmonia. The properties of the absorber (material, thickness, position) and of the tracking chambers (granularity, geometry) have been varied in simulations of heavy-ion collision events generated with the UrQMD generator and propagated through the setup using the GEANT3, the particle transport code. The tracks are reconstructed by a Cellular Automaton algorithm followed by a Kalman Filter. The simulations demonstrate that low mass vector mesons and charmonia can be clearly identified in central Au+Au collisions at beam energies provided by the international Facility for Antiproton and Ion Research (FAIR).

Design and performance simulation of a segmented-absorber based muon detection system for high energy heavy ion collision experiments

With the advancement of the accelerator systems and the requirements of high luminosity particle beams to reach different physics goals, detectors with good position resolution and high rate handling capability have become essential for designing any High Energy Physics (HEP) experiments. The Gas Electron Multiplier (GEM) detectors are widely used in many HEP experiments as a tracking device because of their good spatial resolution and rate handling capability. The presence of the dielectric medium inside the active volume of the GEM detector changes its behaviour when exposed to external radiation. This mechanism is commonly referred as the charging-up effect. In this article, the effect of the charging-up phenomenon and the initial polarisation effect of the dielectric on the gain of the chamber are reported for a single mask triple GEM chamber with Ar/CO 2 gas mixture.

Study of charging-up effect for a single mask triple GEM detector

Large area triple GEM chambers will be employed in the first two stations of the MuCh system of the CBM experiment at the upcoming Facility for Antiproton and Ion Research FAIR in Darmstadt/Germany. The GEM detectors have been designed to take data at an unprecedented interaction rate (up to 10 MHz) in nucleus-nucleus collisions in CBM at FAIR. Real-size trapezoidal modules have been installed in the mCBM experiment and tested in nucleus-nucleus collisions at the SIS18 beamline of GSI as a part of the FAIR Phase-0 program. In this report, we discuss the design, installation, commissioning, and response of these GEM modules in detail. The response has been studied using the free-streaming readout electronics designed for the CBM-MuCh and CBM-STS detector system. In free-streaming data, the first attempt on an event building based on the timestamps of hits has been carried out, resulting in the observation of clear spatial correlations between the GEM modules in the mCBM setup for the first time. Accordingly, a time resolution of $\sim$15 ns have been obtained for the GEM detectors.

Commissioning and testing of pre-series triple GEM prototypes for CBM-MuCh in the mCBM experiment at the SIS18 facility of GSI

An assembly of large area ( ∼ 2000 cm2) triple GEM detector modules will be used for the first two stations of Muon Chamber (MUCH) system of Compressed Baryonic Matter (CBM) experiment at FAIR. Each GEM foil has its top surface segmented into 24 divisions. A novel HV distribution schematic has been implemented to power the individual segments. This design based on optocouplers is not only cost-effective but also has the capability to isolate the faulty segments if required, during the process of data taking. A large size prototype based on this layout was designed and fabricated. The performance of such a prototype has been discussed. Radiation and stability tests of the optocouplers with regards to CBM requirements (a ten-year integrated dose of ∼ 1012n e q /cm2 for neutrons and ∼ 30 krad for Gammas) has been reported.

Operating large size GEM detectors using a novel optocoupler based biasing scheme for the Muon Chamber system of CBM experiment

Triple GEM chamber has been selected to be used for the muon detection system (MUCH) in the Compressed Baryonic Matter (CBM) experiment at the upcoming Facility for the Antiproton and Ion Research (FAIR). Two prototype triple-GEM chambers filled with the mixture of argon and CO2 gases in the ratio of 70:30 were made of small-size (10 cm×10 cm) single-mask GEM foils and read by a self-triggered readout ASIC called nXYTER have been tested with pion beams at CERN. The readout electronics records the arrival times of GEM hits and of corresponding coincidence trigger signals separately. The distribution of time difference between GEM hits and respective triggers shows a peak demonstrating the time correlation between GEM hits and the trigger. The width (σ) of the time-correlation peak, which is related to the time resolution of the chamber, reduces with voltage approaching ≈ 12  ns at Δ V GEM of 335 V. Considering the hits inside the time-correlation peak to correspond to the beam trigger, the efficiency reaches a plateau at 95% at Δ GEM above 330 V. For a readout plane segmented by 3 mm×3 mm pads, on an average 1.2 pads are fired per trigger for pion beams at the operating voltage. The chamber shows a gain of ≈ 4000 at Δ V GEM of 350 V.

Testing of triple-GEM chambers for CBM experiment at FAIR using self-triggered readout electronics

Triple Gas Electron Multiplier (GEM) detectors will be used as a tracking device in the first two stations of CBM MUon CHamber (MUCH), where the maximum particle rate is expected to reach ∼ 1 MHz/cm 2 for central Au-Au collisions at 8 AGeV. Therefore, the stable operation of the detector is very important. Discharge probability has been measured of a single mask triple GEM detector at the CERN SPS/H4 beam-line facility with a pion beam of ∼ 150 GeV/c and also in an environment of highly ionizing shower particles. The spark probability as a function of gain has been studied for different particle rates. The details of the experimental setup, method of spark identification and results are presented in this paper.

Spark probability measurement of a single mask triple GEM detector

Handle everyday research tasks with reliable, citation-backed results

Your personal Research Agent to handle research tasks with citation-backed results

Popular Tasks used by Researchers

How can I help with your research?

Meet SciSpace

Get more enhanced response by uploading the PDFs you want me to reference.

No relevant PDFs in your library

SciSpace is the AI research assistant for academics. Run systematic literature reviews on 280M+ papers, and write papers with cited sources. Trusted by 1M+ students, PhDs & researchers.

SciSpace | AI for Research

Analyze PDFs

Code & Manuscripts

Funding & Grants

Literature & Patents

Medical & Clinical Data

Systematic Review

Visualize & Present

Web & Data

Build a Google Scholar-like website for your research.

Build a website

Create charts and images for your research

Create a Chart

Write a paper for submission to a journal

Draft a manuscript

Patent Search

Design eye-catching scientific posters in minutes.

Scientific Poster Generation

Systematic Literature Review

One task is running at the moment. Your messages will be shown right after.

Drag and drop or click here to browse

Loved by <highlight>1 million+</highlight> researchers

Extract a list of specific topics and their sources from unstructured text

Topics

Compare and analyze relevant papers that matches with your search

Papers

Get insights from PDFs and bookmarked papers from your library

My library

Recent searches

Try searching for:

Catch AI-generated content in scholarly and non-scholarly content

{ai} Detector

Ai Writer

Get PDF Summaries, highlighted text explanations 

Chat with PDF

Effortlessly create in-text citations and bibliographies in APA and 2,500 other formats

Citation generator

Get explanations, summaries, and answers on academic papers

Ease up your research workflow with {scispace}'s cohort of exciting AI tools

Elevate your academic writing skills and convey your ideas the way you want

Paraphraser

Explore our range of reading and writing tools

Your file is being prepared and should be ready in a few minutes. If it's a large file, it might take a bit longer. You can close this window, and we'll email you the file when it's done.

You have reached a maximum limit of <strong>{limit}</strong> columns in the table. Remove at least <strong>1</strong> column to add or create another one.

A. Lymanets

Author Tools

Chat about Author

Papers

Testing of triple-GEM chambers for CBM experiment at FAIR using self-triggered readout electronics

Spark probability measurement of a single mask triple GEM detector