Compute l2 loss for dynamic image structure function(Dqt) using fixed A(q) and B parameters.
l2_fixedAB(
param,
Dqt_cur,
q_cur,
A_est_q_cur,
B_est,
d_input,
model_name,
msd_fn = NA,
msd_grad_fn = NA
)Squared differences between the true Dqt and the predicted Dqt.
a vector of natural logarithm of parameters
observed dynamic image structure function. See 'Details'.
wave vector in unit of um^-1
estimated value of A(q). This parameter is determined by the properties of the imaged material and imaging optics. See 'References'.
estimated value of B. This parameter is determined by the noise in the system. See 'References'.
sequence of lag times
model name for the fitted model, options from ('BM','OU', 'FBM',OU+FBM','user_defined')
msd_fn user defined mean squared displacement structure (MSD), a
function of param parameters and d_input lag times
user defined MSD gradient structure, a function of
param and d_input
tools:::Rd_package_author("AIUQ")
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'.
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.