V. Dayal, N. Singh, C. Su, P. Gill, Brit Lee, F. Choa, B. Arnold, L. Kelly, B. Cullum
{"title":"Nanocomposites for low dose gamma-ray sensor: Effect of matrix and oxidizer on the performance (Conference Presentation)","authors":"V. Dayal, N. Singh, C. Su, P. Gill, Brit Lee, F. Choa, B. Arnold, L. Kelly, B. Cullum","doi":"10.1117/12.2517435","DOIUrl":"https://doi.org/10.1117/12.2517435","url":null,"abstract":"Synthesis and crystal growth of scintillators and semiconductor materials for radiation detectors have been proven to be time consuming and very costly. Several alternative crystals such as Tl3ASSe3, TlGaSe2, Tl4HgI6, PbSe(1-x)Ix have developed in our laboratory. These heavy metal and high Z based compounds have shown great promise. We have been working on some innovative approaches based on Cerenkov radiation and nanocomposites of ionizing organics for faster and efficient sensors. By combining some metallic oxides with an organic material, it should be possible to both extend the energy range of particles capable of being detected while also providing more discrimination for high energy gamma-rays, based on local secondary effects in the surrounding organic matrix. We have been working with a highly ionizing organic compound p-chloranil (2,3,5,6-Tetrachloro-1,4-benzoquinone) matrix. In addition, we have determined effect of oxidizing compounds MnO2 on urea-based composites. We use metal oxide as active ingredient in this matrix. We will present effect of morphology and processing on the performance of nanocomposite for sensing gamma-rays.","PeriodicalId":359088,"journal":{"name":"Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XX","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116972783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. B. Tombet, F. Marcotte, E. Guyot, M. Chamberland, V. Farley
{"title":"Toward UAV based compact thermal infrared hyperspectral imaging solution for real-time gas detection identification and quantification (Conference Presentation)","authors":"S. B. Tombet, F. Marcotte, E. Guyot, M. Chamberland, V. Farley","doi":"10.1117/12.2521191","DOIUrl":"https://doi.org/10.1117/12.2521191","url":null,"abstract":"The integration of thermal infrared (TIR) hyperspectral systems into Unmanned Aerial Vehicles (UAVs) platforms is expected to open doors toward a wide variety of demanding thermal imaging applications ranging from academics and research to industry. Currently, the UAV remote sensing technology in TIR region is still in its infancy and the main expectations are the reduction of both, sensor sizes and cost while maintaining their performances at a high level. \u0000\u0000In this communication, we report on Telops newly designed compact, light and robust TIR hyperspectral module of less than 10 kg with about 50W of power consumption. The new module can be integrated into a complete stand-alone imager with applications such as 360˚ Hyperspectral Surveillance. Integration in complete, highly flexible UAV based, infrared hyperspectral imaging solutions, such as airborne real-time gas detection, identification and quantification is also possible. \u0000\u0000The need for a reliable and cost-efficient gas detection system is of prime importance especially when security threatening situations like gas leaks and emissions occur. The knowledge of the precise localization of the leaks, identification of the chemical nature of the gases involved and quantification of the gas flux emanating from the leaks are the crucial inputs needed for the incident response team to take actions based on relevant information. In this regard, UAVs based TIR remote sensing technology offers many benefits over traditional gas detection systems as it allows safely monitoring and imaging of large areas. The sensor can fly several hundreds of meters above the scene, avoiding the need to access restricted and potentially dangerous zones in the installations. \u0000\u0000Beside the newly designed compact and light TIR hyperspectral module, Telops have also developed solutions for gas detection and identification along with some tools for the quantification of gas flow rates emanating for leak source. These solutions were recently demonstrated during a flight campaign up to 4600 feet above the ground for detection and identification of ethylene, methanol and acetone gas release experiment. The Fourier transform technology used in our hyperspectral imaging systems on an airborne platform allows recording of airborne hyperspectral data using mapping and targeting modes. These two acquisition modes were used for gas detection and real time quantitative airborne chemical images of the three gas clouds were obtained paving the path toward a viable solution for gas leak surveys and environmental monitoring.","PeriodicalId":359088,"journal":{"name":"Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XX","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132137529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
T. Stievater, N. Tyndall, D. Kozak, M. Pruessner, R. McGill, C. Roberts, B. Miller, E. Luta, M. Z. Yates
{"title":"Waveguide-enhanced Raman spectroscopy for characterizing sorbent-analyte binding (Conference Presentation)","authors":"T. Stievater, N. Tyndall, D. Kozak, M. Pruessner, R. McGill, C. Roberts, B. Miller, E. Luta, M. Z. Yates","doi":"10.1117/12.2521451","DOIUrl":"https://doi.org/10.1117/12.2521451","url":null,"abstract":"Waveguide-enhanced Raman spectroscopy (WERS) enables the detection and identification of trace concentrations of vapor-phase analytes using a chip-scale photonic circuit coated with a sorbent material. Previous demonstrations of WERS utilized a hydrogen-bond acidic hyperbranched carbosilane fluoroalcohol-based sorbent polymer and focused on detection limits for different nerve agent simulants. In this work, we examine the Raman spectra of a number of new sorbent materials obtained using WERS. By comparing the spectra pre-exposure to the modified spectra measured during analyte exposure, the effects of hydrogen-bonding on the sorbent and analyte molecules are observed. Changes to the Raman transition strength or frequency of individual lines due to analyte binding shed light on the partitioning of vapor-phase molecular agents into the sorbent, and can be used to design sorbent materials with even higher sensitivity. We examine two new types of sorbents: Fluorinated bisphenol-based materials that increase the steric bulk of the substituents ortho- to the hydroxyl group, designed to reduce self-binding; and carbosilane fluoroalcohol polymers synthesized with a novel hydrosilylation reaction. The WERS detection limits for these new sorbents are measured for nerve-agent simulants and compared to previous generation materials.","PeriodicalId":359088,"journal":{"name":"Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XX","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121210777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}