Multi-frequency Photothermal Interferometry of Single Aerosol Particles
收藏DataCite Commons2025-06-25 更新2026-05-06 收录
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https://repository.tugraz.at/doi/10.3217/q2j0r-nst63
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The following repository contains all the metadata needed to create the figures for the corresponding publication. The files related to each figure contain variables in a column-oriented structure. Following is a description of the individual file contents. ___________________________________________________________________________________________________
Figure_2_a_b.xlsx contains the simulated radius and frequency dependency of the complex amplitude of the particle temperature oscillation for five different particle radii. The data is normalized to one. The simulated particle radius is given in the second row in meters, and the simulated frequency is given in the first column in Hertz. Plot the absolute value of the complex particle temperature oscillation to obtain Figure 2. a) plot the argument of the complex particle temperature oscillation to obtain Figure 2. b).
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Figure_2_c_d.xlsx contains the simulated radius and frequency dependency of the complex optical path length difference for five different particle radii. The data is normalized to one. The simulated particle radius is given in the second row in meters, and the simulated frequency is given in the first column in Hertz. Plot the absolute value of the complex optical path length difference to obtain Figure 2. c) plot the argument of the complex optical path length difference to obtain Figure 2. c). ___________________________________________________________________________________________________
Figure_2_e_f.xlsx contains the simulated radius and frequency dependency of the complex photothermal signal for five different particle radii. The data is normalized to one. The simulated particle radius is given in the second row in meters, and the simulated frequency is given in the first column in Hertz. Plot the absolute value of the complex photothermal signal to obtain Figure 2. e) plot the argument of the complex photothermal signal to obtain Figure 2. f).
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Figure_3.xlsx contains the simulated radius dependency of the optical path length difference amplitude for three excitation frequencies. The data is normalized to one. The simulated radial distance is given in the first column in micrometer, the amplitude of the optical path length difference in columns two to four. The last column contains a Gaussian laser profile. Plot columns two to five as a function of column one to recreate Figure 3. Note that the data contains a radial offset from -580 m to +580 µm; Figure 3. shows only the section from 0 to 580 µm.
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Figure_4_a_b.xlsx contains the simulated radius and frequency dependency of the complex photothermal signal with a superimposed phase effect for five different particle radii. The data is normalized to one. The simulated particle radius is given in the second row in meters, and the simulated frequency is given in the first column in Hertz. Plot the absolute value of the complex photothermal signal to obtain Figure 4. a) plot the argument of the complex photothermal signal to obtain Figure 4. b).
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Figure_5_a.xlsx contains the simulated radius and frequency dependency of the photothermal amplitude for the measured particle radii and excitation frequencies between 10 Hz and 1 kHz. The data is normalized to one. The particle radius at the beginning of the frequency sweep is given in the first row in meter. The particle radius at the end of the frequency sweep is given in the second row in the meter. The particle radius for any frequency point during the sweep can be obtained via a linear interpolation between those two points. The frequency is given in Hertz in the first column. Plot the photothermal amplitude as a function of frequency for each sweep to obtain Figure 5. a). The particle radius can be obtained via linear interpolation or by using an average particle radius for the sweep.
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Figure_5_b.xlsx contains the simulated radius and frequency dependency of the photothermal phase for the measured particle radii and excitation frequencies between 10 Hz and 1 kHz. The data is normalized to one. The particle radius at the beginning of the frequency sweep is given in the first row in meter. The particle radius at the end of the frequency sweep is given in the second row in meter. The particle radius for any frequency point during the sweep can be obtained via a linear interpolation between those two points. The frequency is given in Hertz in the first column. Plot the photothermal phase as a function of frequency for each sweep to obtain Figure 5. b). The particle radius can be obtained via linear interpolation or by using an average particle radius for the sweep.
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Figure_5_c.xlsx contains the measured radius and frequency dependency of the photothermal amplitude for the measured particle radii and excitation frequencies between 10 Hz and 1 kHz. The data is normalized to one. The particle radius at the beginning of the frequency sweep is given in the first row in meter. The particle radius at the end of the frequency sweep is given in the second row in meter. The particle radius for any frequency point during the sweep can be obtained via a linear interpolation between those two points. The frequency is given in Hertz in the first column. Plot the photothermal amplitude as a function of frequency for each sweep to obtain Figure 5. c). The particle radius can be obtained via linear interpolation or by using an average particle radius for the sweep.
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Figure_5_d.xlsx contains the measured radius and frequency dependency of the photothermal phase for the measured particle radii and excitation frequencies between 10 Hz and 1 kHz. The data is normalized to one. The particle radius at the beginning of the frequency sweep is given in the first row in meter. The particle radius at the end of the frequency sweep is given in the second row in meter. The particle radius for any frequency point during the sweep can be obtained via a linear interpolation between those two points. The frequency is given in Hertz in the first column. Plot the photothermal phase as a function of frequency for each sweep to obtain Figure 5. d). The particle radius can be obtained via linear interpolation or by using an average particle radius for the sweep.
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Figure_5_e.xlsx contains the relative difference between the measured and simulated radius and frequency dependency of the photothermal amplitude for the measured particle radii and excitation frequencies between 10 Hz and 1 kHz. The data is normalized to one. The particle radius at the beginning of the frequency sweep is given in the first row in meter. The particle radius at the end of the frequency sweep is given in the second row in meter. The particle radius for any frequency point during the sweep can be obtained via a linear interpolation between those two points. The frequency is given in Hertz in the first column. Plot the amplitude difference as a function of frequency for each sweep to obtain Figure 5. e). The particle radius can be obtained via linear interpolation or by using an average particle radius for the sweep.
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Figure_5_f.xlsx contains the absolute differnce between the measured and simulated radius and frequency dependency of the photothermal phase for the measured particle radii and excitation frequencies between 10 Hz and 1 kHz. The data is normalized to one. The particle radius at the beginning of the frequency sweep is given in the first row in meter. The particle radius at the end of the frequency sweep is given in the second row in meter. The particle radius for any frequency point during the sweep can be obtained via a linear interpolation between those two points. The frequency is given in Hertz in the first column. Plot the phase difference as a function of frequency for each sweep to obtain Figure 5. f). The particle radius can be obtained via linear interpolation or by using an average particle radius for the sweep.
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Figure_6_a.xlsx contains the simulated radius and frequency dependency of the photothermal amplitude for the measured particle radii and excitation frequencies between 1 kHz and 100 kHz. The data is normalized to one. The particle radius at the beginning of the frequency sweep is given in the first row in meter. The particle radius at the end of the frequency sweep is given in the second row in meter. The particle radius for any frequency point during the sweep can be obtained via a linear interpolation between those two points. The frequency is given in Hertz in the first column. Plot the photothermal amplitude as a function of frequency for each sweep to obtain Figure 5. a). The particle radius can be obtained via linear interpolation or by using an average particle radius for the sweep.
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Figure_6_b.xlsx contains the simulated radius and frequency dependency of the photothermal phase for the measured particle radii and excitation frequencies between 1 kHz and 100 kHz. The data is normalized to one. The particle radius at the beginning of the frequency sweep is given in the first row in meter. The particle radius at the end of the frequency sweep is given in the second row in meter. The particle radius for any frequency point during the sweep can be obtained via a linear interpolation between those two points. The frequency is given in Hertz in the first column. Plot the photothermal phase as a function of frequency for each sweep to obtain Figure 5. b). The particle radius can be obtained via linear interpolation or by using an average particle radius for the sweep.
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Figure_6_c.xlsx contains the measured radius and frequency dependency of the photothermal amplitude for the measured particle radii and excitation frequencies between 1 kHz and 100 kHz. The data is normalized to one. The particle radius at the beginning of the frequency sweep is given in the first row in meter. The particle radius at the end of the frequency sweep is given in the second row in meter. The particle radius for any frequency point during the sweep can be obtained via a linear interpolation between those two points. The frequency is given in Hertz in the first column. Plot the photothermal amplitude as a function of frequency for each sweep to obtain Figure 5. c). The particle radius can be obtained via linear interpolation or by using an average particle radius for the sweep.
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Figure_6_d.xlsx contains the measured radius and frequency dependency of the photothermal phase for the measured particle radii and excitation frequencies between 1 kHz and 100 kHz. The data is normalized to one. The particle radius at the beginning of the frequency sweep is given in the first row in meter. The particle radius at the end of the frequency sweep is given in the second row in meter. The particle radius for any frequency point during the sweep can be obtained via a linear interpolation between those two points. The frequency is given in Hertz in the first column. Plot the photothermal phase as a function of frequency for each sweep to obtain Figure 5. d). The particle radius can be obtained via linear interpolation or by using an average particle radius for the sweep.
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Figure_6_e.xlsx contains the relative differnce between the measured and simulated radius and frequency dependency of the photothermal amplitude for the measured particle radii and excitation frequencies between 1 kHz and 100 kHz. The data is normalized to one. The particle radius at the beginning of the frequency sweep is given in the first row in meter. The particle radius at the end of the frequency sweep is given in the second row in meter. The particle radius for any frequency point during the sweep can be obtained via a linear interpolation between those two points. The frequency is given in Hertz in the first column. Plot the amplitude difference as a function of frequency for each sweep to obtain Figure 5. e). The particle radius can be obtained via linear interpolation or by using an average particle radius for the sweep.
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Figure_6_f.xlsx contains the absolute differnce between the measured and simulated radius and frequency dependency of the photothermal phase for the measured particle radii and excitation frequencies between 1 kHz and 100 kHz. The data is normalized to one. The particle radius at the beginning of the frequency sweep is given in the first row in meter. The particle radius at the end of the frequency sweep is given in the second row in meter. The particle radius for any frequency point during the sweep can be obtained via a linear interpolation between those two points. The frequency is given in Hertz in the first column. Plot the phase difference as a function of frequency for each sweep to obtain Figure 5. f). The particle radius can be obtained via linear interpolation or by using an average particle radius for the sweep.
提供机构:
Graz University of Technology
创建时间:
2025-06-25



