2018
DOI: 10.1016/j.nima.2018.03.029
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An apparatus to measure water optical attenuation length for LHAASO-MD

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Cited by 8 publications
(5 citation statements)
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“…The second is the indirect measurement method, that is, through the amount associated with the attenuation length to invert the value of the water attenuation length. Although the direct measurement method is straightforward, the signal attenuation of light in water is very small, and the experiment requires effective detection of small signals and control of errors within a very small range, which is difficult to achieve for the measurement [6]. The integrating cavity technique is, however, considerably simpler to implement.…”
Section: Methodsmentioning
confidence: 99%
“…The second is the indirect measurement method, that is, through the amount associated with the attenuation length to invert the value of the water attenuation length. Although the direct measurement method is straightforward, the signal attenuation of light in water is very small, and the experiment requires effective detection of small signals and control of errors within a very small range, which is difficult to achieve for the measurement [6]. The integrating cavity technique is, however, considerably simpler to implement.…”
Section: Methodsmentioning
confidence: 99%
“…This water absorption length is reasonable when compared with the numbers mea-sured for the current detector arrays. A study from the LHAASO collaboration using a custom developed apparatus reports attenuation lengths around 16.8 m at 405 nm Li et al [23]. Studies performed by the HAWC collaboration shows attenuation lengths varying between 5 m and 16 m for 405 nm Abeysekara and et al [24].…”
Section: Overview Of Simulation Toolsmentioning
confidence: 99%
“…The seawater pH is set to be the estimated value at the Archean-Proterozoic boundary, 7 (Krissansen-Totton et al, 2018). In consideration of the low productivity in the Precambrian ocean, the seawater light attenuation length scale is set to 15 m, which is close to pure water (Kim, Pradal, & Gnanadesikan, 2015;Li et al, 2018).…”
Section: Model Parameterizationmentioning
confidence: 99%