Learn R Programming

AIUQ (version 0.5.3)

SAM_Dqt: Compute dynamic image structure function

Description

Compute dynamic image structure function(Dqt) using Fourier transformed intensity profile and a selection of wave number(q) range.

Usage

SAM_Dqt(len_q, index_q, len_t, I_q_matrix, q_ori_ring_loc_unique_index, sz)

Value

Matrix of dynamic image structure with dimension len_q by len_t-1.

Arguments

len_q

number of wave number

index_q

a vector of selected wave number index

len_t

number of time steps

I_q_matrix

intensity profile in reciprocal space (after Fourier transformation)

q_ori_ring_loc_unique_index

index for wave vector that give unique frequency

sz

frame size of intensity profile

Author

tools:::Rd_package_author("AIUQ")

Details

Dynamic image structure function(Dqt) can be obtained from ensemble average of absolute values squared of Four transformed intensity difference: $$D(q,\Delta t) = \langle |\Delta \hat{I}(q,t,\Delta t)|^2\rangle$$ See 'References'.

References

Gu, M., He, Y., Liu, X., & Luo, Y. (2023). Ab initio uncertainty quantification in scattering analysis of microscopy. arXiv preprint arXiv:2309.02468.

Gu, M., Luo, Y., He, Y., Helgeson, M. E., & Valentine, M. T. (2021). Uncertainty quantification and estimation in differential dynamic microscopy. Physical Review E, 104(3), 034610.

Cerbino, R., & Trappe, V. (2008). Differential dynamic microscopy: probing wave vector dependent dynamics with a microscope. Physical review letters, 100(18), 188102.