Cited by 14Astrophysics and Star Formation StudiesElectromagnetic Scattering and AnalysisAtmospheric aerosols and clouds

Experimental verification of agglomeration effects in infrared spectra on micron-sized particles

Open access
Tamanai, Akemi, Vogt, Jochen, Huck, Christian, Mick, Uwe, Zimmermann, Sören, Tazaki, Ryo, Mutschke, Harald, Pucci, Annemarie·2018·Astronomy & Astrophysics

Abstract

Context. Detailed analysis of observed infrared (IR) dust emission spectra is often performed in order to derive information about mineralogy, particle size, and temperature of the dust. However, the IR bands are also influenced by agglomeration of the dust particles. Light scattering theory simulating agglomeration and growth effects is especially challenged by the consideration of highly absorbing particles. Aims. To clarify the influence of agglomeration on the diagnostic phonon bands of amorphous SiO 2 particles, we experimentally measure the extinction spectra of systematically arranged particle configurations and compare the measured spectra with the spectra obtained from different theoretical approaches. Methods. We construct artificial particle agglomerates by means of the dedicated robotic manipulation (DRM) technique. IR microspectroscopic extinction measurements of these arranged particles are performed at the French National Synchrotron Facility, SOLEIL, in the mid-IR region considering polarization effects. The theoretical approaches applied are the discrete dipole approximation (DDA) as well as T-matrix and finite-difference time-domain methods. Results. In both the experimental spectra and the theoretical calculations, we find that the Si–O stretching vibration band at about 9 μ m is clearly broadened on the long-wavelength side by the agglomeration of particles. This is mainly caused by the radiation components, which are polarized in directions in which the agglomerate is extended, while the extinction band profile of the component polarized perpendicular to the long axis of an elongated agglomerate is close to the spectrum of the single sphere. All of the theoretical simulations predict these effects in qualitatively good agreement. Conclusions. Our comparative study of the experimentally measured and theoretically calculated IR extinction spectra of well-defined agglomerate structures makes obvious how the various particle arrangements in small clusters might contribute to average spectra of dust. Therefore the study might help to improve the precision of light scattering calculations as well as their specific applicability.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1051/0004-6361/201833119

Cites

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

The citation lists haven’t been fetched yet

References 31 · Cited by 14

Research works printed but not linked: 33

  1. Andersen, A., Mutschke, H., Posch, T., Min, M., & Tamanai, A. 2006, J. Quant. Spectr. Rad. Transf., 100, 4 · DOI
  2. Dorschner, J., Friedemann, C., & Gürtler, J. 1977, Ap&SS, 48, 305 · DOI
  3. Draine, B. T. 1988, ApJ, 333, 848 · DOI
  4. Draine, B. T., & Flatau, P. J. 1994, J. Opt. Soc. Am. A, 11, 1491 · DOI
  5. Fabian, D., Henning, T., Jäger, C., et al. 2001, A&A, 378, 228 · DOI
  6. Jäger, C., Mutschke, H., Begemann, B., Dorschner, J., & Henning, T. 1994, A&A, 292, 641 · DOI
  7. Jäger, C., Dorschner, J., Mutschke, H., Posch, T., & Henning, T. 2003, A&A, 408, 193 · DOI
  8. Koike, C., Hasegawa, H., & Manabe, A. 1980, Ap&SS, 67, 495 · DOI
  9. Koike, C., Mutschke, H., Suto, H., et al. 2006, A&A, 449, 583 · DOI
  10. Mackowski, D. W. 1991, Roy. Soc. London Phil. Trans. Ser. A, 433, 599 · DOI
  11. Mackowski, D. W., & Mishchenko, M. I. 1996, J. Opt. Soc. Am. A., 13, 2266 · DOI
  12. Mie, G. 1908, Ann. Phys., 25, 377 · DOI
  13. Min, M., Hovenier, J. W., & de Koter, A. 2005, A&A, 432, 909 · DOI
  14. Min, M., Dominik, C., Hovenier, J. W., de Koter, A., & Waters, L. B. F. M. 2006a, A&A, 445, 1005 · DOI
  15. Min, M., Hovenier, J. W., Dominik, C., de Koter, A., & Yurkin, M. A. 2006b, J. Quant. Spectr. Rad. Transf., 97, 161 · DOI
  16. Min, M., Waters, L. B. F. M., de Koter, A., et al. 2007, A&A, 462, 667 · DOI
  17. Mishchenko, M. I. 1990, Ap&SS, 164, 1 · DOI
  18. Mutschke, H., Andersen, A., Clément, D., Henning, T., & Peiter, G. 1999, A&A, 345, 187 · DOI
  19. Mutschke, H., Min, M., & Tamanai, A. 2009, A&A, 504, 875 · DOI
  20. Posch, T., Kerschbaum, F., Fabian, D., et al. 2003, ApJS, 149, 437 · DOI
  21. Purcell, E. M., & Pennypacker, C. R. 1973, ApJ, 186, 705 · DOI
  22. Sakamoto, S., Tsuru, H., Toyada, M., & Asakura, T. 2013, in Computational Simulation in Architechtrural and Environmental Acoustics: Methods and Applications of Wave-Based Computation, eds. T. Sakuma, S. Sakamoto, & T. Otsuru (Tokyo: Springer), 11 · DOI
  23. Taflove, A., & Brodwin, M. E. 1975, IEEE Trans. Microw. Theory, 23, 623 · DOI
  24. Takigawa, A., Tachibana, S., Nagahara, H., Ozawa, K., & Yokoyama, M. 2009, ApJ, 707, L97 · DOI
  25. Tamanai, A., Mutschke, H., Blum, J., & Meeus, G. 2006a, ApJ, 648, L147 · DOI
  26. Tamanai, A., Mutschke, H., Blum, J., & Neuhäuser, R. 2006b, J. Quant. Spectr. Rad. Transf., 100, 373 · DOI
  27. Tamanai, A., Mutschke, H., Blum, J., et al. 2009, A&A, 501, 251 · DOI
  28. Vogt, J., Zimmermann, S., Huck, C., et al. 2017, ACS Photonics, 4, 560 · DOI
  29. Waterman, P. C. 1971, Phys. Rev. D, 3, 825 · DOI
  30. Wetzel, S. 1966, PhD Thesis, Heidelberg University, Germany
  31. Wetzel, S., Klevenz, M., Gail, H.-P., Pucci, A., & Trieloff, M. 2013, A&A, 553, A92 · DOI
  32. Yee, K. S. 1966, IEEE Trans. Antennas Propag., 14, 302 · DOI
  33. Zimmermann, S., Tiemerding, T., & Fatikow, S. 2015, IEEE-ASME Trans. Mech., 20, 2031 · DOI

Authors
Tamanai, A., Vogt, J., Huck, C., Mick, U., Zimmermann, S., Tazaki, R., Mutschke, H., & Pucci, A.
Affiliations
  • Heidelberg University (DE)
  • Max Planck Institute for the Science of Light (DE)
  • Carl von Ossietzky Universität Oldenburg (DE)
  • Tohoku University (JP)
  • Friedrich Schiller University Jena (DE)
Venue
Astronomy & Astrophysics
Publisher
EDP Sciences
Published
2018-11
Volume
619
Pages
A110
ISSN
  • 0004-6361 (ISSN-L)
  • 1432-0746
OpenAlex
W2891217725
Cited by
14
References
31
Citations by year
2026: 3 · 2025: 2 · 2024: 2 · 2020: 4 · 2019: 3
FWCI
0.94
Type
journal article
Language
en
Open access
Locations
  • Astronomy and Astrophysics (publishedVersion)
  • Springer Link (Chiba Institute of Technology) (submittedVersion)
Funders
  • Deutsche Forschungsgemeinschaft (SPP 1385)
  • Japan Society for the Promotion of Science (17J02411)
Topics
  • Physical Sciences › Physics and Astronomy › Astronomy and Astrophysics › Astrophysics and Star Formation Studies
  • Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Electromagnetic Scattering and Analysis
  • Physical Sciences › Environmental Science › Global and Planetary Change › Atmospheric aerosols and clouds
Keywords
amorphous silica, dust grain size, light scattering, discrete dipole approximation, T-matrix method, finite-difference time-domain simulation, polarization effects, interstellar dust

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review