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The LHCb RICH silica aerogel performance with LHC data

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Title: The LHCb RICH silica aerogel performance with LHC data
Authors: Perego, D.L.1
Source: Nuclear Instruments & Methods in Physics Research Section A. May2011, Vol. 639 Issue 1, p234-237. 4p.
Subjects: Large Hadron Collider, Cherenkov counters, Aerogels, Momentum (Mechanics), Refractive index
Geographic Terms: Switzerland, France
Abstract: Abstract: In the LHCb experiment at the Large Hadron Collider, powerful charged particle identification is performed by Ring Imaging CHerenkov (RICH) technology. In order to cover the full geometric acceptance and the wide momentum range (1–100GeV/c), two detectors with three Cherenkov radiators have been designed and installed. In the medium (10–40GeV/c) and high (30–100GeV/c) momentum ranges, gas radiators are used (C4F10 and CF4, respectively). In the low momentum range (1–10GeV/c), pion, kaon and proton separation is performed with solid silica aerogel radiator. A set of 16 tiles, with large transverse dimensions of up to and nominal refractive index 1.03 have been produced and integrated in the detector. These tiles have excellent optical properties and homogeneity of the refractive index at the percent level within the tile. The first data collected at the LHC are used to investigate the behaviour of the RICH; preliminary results of the performance of silica aerogel are presented and discussed. [Copyright &y& Elsevier]
Copyright of Nuclear Instruments & Methods in Physics Research Section A is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 60518727
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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IllustrationInfo
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  Data: The LHCb RICH silica aerogel performance with LHC data
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  Data: <searchLink fieldCode="DE" term="%22Large+Hadron+Collider%22">Large Hadron Collider</searchLink><br /><searchLink fieldCode="DE" term="%22Cherenkov+counters%22">Cherenkov counters</searchLink><br /><searchLink fieldCode="DE" term="%22Aerogels%22">Aerogels</searchLink><br /><searchLink fieldCode="DE" term="%22Momentum+%28Mechanics%29%22">Momentum (Mechanics)</searchLink><br /><searchLink fieldCode="DE" term="%22Refractive+index%22">Refractive index</searchLink>
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  Label: Abstract
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  Data: Abstract: In the LHCb experiment at the Large Hadron Collider, powerful charged particle identification is performed by Ring Imaging CHerenkov (RICH) technology. In order to cover the full geometric acceptance and the wide momentum range (1–100GeV/c), two detectors with three Cherenkov radiators have been designed and installed. In the medium (10–40GeV/c) and high (30–100GeV/c) momentum ranges, gas radiators are used (C4F10 and CF4, respectively). In the low momentum range (1–10GeV/c), pion, kaon and proton separation is performed with solid silica aerogel radiator. A set of 16 tiles, with large transverse dimensions of up to and nominal refractive index 1.03 have been produced and integrated in the detector. These tiles have excellent optical properties and homogeneity of the refractive index at the percent level within the tile. The first data collected at the LHC are used to investigate the behaviour of the RICH; preliminary results of the performance of silica aerogel are presented and discussed. [Copyright &y& Elsevier]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Nuclear Instruments & Methods in Physics Research Section A is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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