Noise Characteristics of an Instrumental Particle Absorbance Technique.

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Title: Noise Characteristics of an Instrumental Particle Absorbance Technique.
Authors: Springston, Stephen R.1 (AUTHOR), Sedlacek III, Arthur J.1 (AUTHOR) Sedlacek@bnl.gov
Source: Aerosol Science & Technology. Dec2007, Vol. 41 Issue 12, p1110-1116. 7p. 1 Chart, 5 Graphs.
Subjects: Noise control, Spectrometers, Particles, Absorption, Noise
Abstract: Noise characteristics and noise reduction techniques for the particle soot absorption spectrometer (PSAP) are discussed. It is shown through elementary propagation of errors analysis and verified through simulations and by experiments that the PSAP signal noise varies as the -3/2 power of the integration time and not the assumed -1/2. It is also shown that neither simple boxcar averaging of independent absorptivity values nor the commonly used moving boxcar average allow realization of the maximum signal to noise ratio. Instead it is argued that maximal noise reduction is realized by post-processing of the raw reference and sample channel intensities. Finally the implications of these findings are demonstrated with representative field data. [ABSTRACT FROM AUTHOR]
Copyright of Aerosol Science & Technology is the property of Taylor & Francis Ltd 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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Header DbId: egs
DbLabel: Engineering Source
An: 52719711
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Noise Characteristics of an Instrumental Particle Absorbance Technique.
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  Data: <searchLink fieldCode="AR" term="%22Springston%2C+Stephen+R%2E%22">Springston, Stephen R.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sedlacek+III%2C+Arthur+J%2E%22">Sedlacek III, Arthur J.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> Sedlacek@bnl.gov</i>
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  Data: <searchLink fieldCode="JN" term="%22Aerosol+Science+%26+Technology%22">Aerosol Science & Technology</searchLink>. Dec2007, Vol. 41 Issue 12, p1110-1116. 7p. 1 Chart, 5 Graphs.
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  Data: <searchLink fieldCode="DE" term="%22Noise+control%22">Noise control</searchLink><br /><searchLink fieldCode="DE" term="%22Spectrometers%22">Spectrometers</searchLink><br /><searchLink fieldCode="DE" term="%22Particles%22">Particles</searchLink><br /><searchLink fieldCode="DE" term="%22Absorption%22">Absorption</searchLink><br /><searchLink fieldCode="DE" term="%22Noise%22">Noise</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Noise characteristics and noise reduction techniques for the particle soot absorption spectrometer (PSAP) are discussed. It is shown through elementary propagation of errors analysis and verified through simulations and by experiments that the PSAP signal noise varies as the -3/2 power of the integration time and not the assumed -1/2. It is also shown that neither simple boxcar averaging of independent absorptivity values nor the commonly used moving boxcar average allow realization of the maximum signal to noise ratio. Instead it is argued that maximal noise reduction is realized by post-processing of the raw reference and sample channel intensities. Finally the implications of these findings are demonstrated with representative field data. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Aerosol Science & Technology is the property of Taylor & Francis Ltd 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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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1080/02786820701777457
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 7
        StartPage: 1110
    Subjects:
      – SubjectFull: Noise control
        Type: general
      – SubjectFull: Spectrometers
        Type: general
      – SubjectFull: Particles
        Type: general
      – SubjectFull: Absorption
        Type: general
      – SubjectFull: Noise
        Type: general
    Titles:
      – TitleFull: Noise Characteristics of an Instrumental Particle Absorbance Technique.
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            NameFull: Springston, Stephen R.
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            NameFull: Sedlacek III, Arthur J.
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              M: 12
              Text: Dec2007
              Type: published
              Y: 2007
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              Value: 41
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              Value: 12
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            – TitleFull: Aerosol Science & Technology
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