Muography. Группа авторов
Чтение книги онлайн.

Читать онлайн книгу Muography - Группа авторов страница 29

Название: Muography

Автор: Группа авторов

Издательство: John Wiley & Sons Limited

Жанр: Физика

Серия:

isbn: 9781119723066

isbn:

СКАЧАТЬ number of simulation trials, rho Subscript j Superscript italic r e c Baseline left-parenthesis x comma y comma z right-parenthesis is the reconstructed density image for the j th trial, ρ rec (x, y, z) is the reconstructed density without random numbers, and δρ acc (x, y, z) is the random error caused by the statistical error of the number of muons.

      This section describes an example of performance estimation using the two reconstruction methods.

      The following assumptions and models were used in the simulation. The volcano selected as an example is Omuroyama, located in Ito, Shizuoka Prefecture, Japan. Omuroyama volcano is an inactive scoria cone that is part of the Eastern Izu Monogenetic Volcanic Group, and formed at ca. 4 ka. The basal diameter of the volcano is 800–1000 m, and its relative elevation is ~250 m. Multi‐directional muon tomographic study is ongoing at this volcano for the following reasons: (i) good accessibility for installation of muon detectors in all directions due to well‐maintained roads; (ii) the absence of “shadows” from any other objects in the background; and (iii) the volcano shape is axisymmetric, but non‐axisymmetric structures are expected in the volcano interior (Koyano et al., 1996; Saito et al., 2003).

Schematic illustration of topography around Omuroyama volcano and the location of the muon detectors in the simulation.

      For simplicity, we assumed that the muon detectors have enough capability to reject low‐momentum particles (i.e., the effect of multiple Coulomb scattering is negligible). This assumption is required as the computational needs are too large to calculate the scattering effect. There have been several studies of the contamination of low‐energy particles due to the multiple Coulomb scattering effect around mountains (e.g., Ambrosino et al., 2015; Jourde et al., 2013; Nishiyama et al., 2014b, 2016).

Schematic illustration of reconstructed density images with a checkerboard structure of a horizontal cross-section. Schematic illustration of reconstructed density images with a checkerboard structure of a vertical cross-section at a relative northing of 150 m using (a) linear inversion and 4-directional; (b) linear inversion and 8-directional; (c) linear inversion and 16-directional; (e) FBP and 4-directional; (f) FBP and 8-directional; (g) FBP and 16-directional; and (h) FBP and 32-directional muographic images.