2017
DOI: 10.1088/1748-0221/12/06/p06012
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Experimental ion mobility measurements in Xe-CO2

Abstract: Data on ion mobility is important to improve the performance of large volume gaseous detectors. In the present work the method, experimental setup and results for the ion mobility measurements in Xe-CO 2 mixtures are presented. The results for this mixture show the presence of only one peak for all gas ratios of Xe-CO 2 , low reduced electric fields, E/N, 10-25 Td (2.4-6.1 kV•cm −1 •bar −1 ), low pressures 6-8 Torr (8-10.6 mbar), at room temperature. K: Gaseous detectors; Ionization and excitation processes; C… Show more

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Cited by 6 publications
(8 citation statements)
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“…In this work, the mobility of ions in Ar-N 2 gas mixtures was measured at a pressure of 8 Torr (10.6 mbar) and for reduced electric fields commonly used in gaseous detectors, 15 Td (3.6 kV•cm −1 •bar −1 ), extending previous studies developed in our group for other gases [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22].…”
Section: Introductionsupporting
confidence: 56%
See 1 more Smart Citation
“…In this work, the mobility of ions in Ar-N 2 gas mixtures was measured at a pressure of 8 Torr (10.6 mbar) and for reduced electric fields commonly used in gaseous detectors, 15 Td (3.6 kV•cm −1 •bar −1 ), extending previous studies developed in our group for other gases [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22].…”
Section: Introductionsupporting
confidence: 56%
“…The mobilities calculated did not display a significant dependence with E/N for the values used in this work (10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25).…”
Section: Discussionmentioning
confidence: 69%
“…So, in the present work we studied the mobility of ions in xenon-carbon tetrafluoride (Xe-CF 4 ) gas mixtures in the 6 to 8 Torr (8 to 10.6 mbar) range and for reduced electric fields commonly used in gaseous detectors, extending previous studies developed in our group for other gases [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18].…”
Section: Introductionmentioning
confidence: 82%
“…We included 14 regression datasets ( 3D Road Network 20 , Bike Sharing 21 , Buzz in social media tomhardware , Buzz in social media twitter , Computer hardware 22 , Concrete compressive strength 23 , Forest fire 24 , Housing 25 , Istanbul stock exchange 26 , Parkinsons telemonitoring 27 , Physicochemical properties of protein tertiary structure, Wine quality 28 , Yacht hydrodynamics 29 , Year prediction MSD ) 30 and 14 classification datasets ( Banknote authentication, Blood transfusion service center 31 , Breast cancer wisconsin diagnostic 32 , Climate model simulation crashes 33 , Connectionist bench 34 , EEG eye state, Fertility 35 , Habermans survival 36 , Hill valley with noise 37 , Indian liver patient 38 , Ionosphere 39 , MAGIC gamma telescope 40 , QSAR biodegradation 41 , Skin segmentation ) 42 .…”
Section: Methodsmentioning
confidence: 99%