We present an updated version of the multilayer spectral inversion (MLSI) recently proposed as a technique to infer the physical parameters of plasmas in the solar chromosphere from a strong absorption line. In the original MLSI, the absorption prole was constant over each layer of the chromosphere, whereas the source function was allowed to vary with optical depth. In our updated MLSI, the absorption prole is allowed to vary with optical depth in each layer and kept continuous at the interface of two adjacent layers. We also propose a new set of physical requirements for the parameters useful in the constrained model tting. We apply this updated MLSI to two sets of Hα and Ca ii line spectral data taken by the Fast Imaging Solar Spectrograph (FISS) from a quiet region and an active region, respectively. We nd that the new version of the MLSI satisfactorily ts most of the observed line proles of various features, including a network feature, an internetwork feature, a mottle feature in a quiet region, and a plage feature, a superpenumbral bril, an umbral feature, and a fast down ow feature in an active region. The MLSI can also yield physically reasonable estimates of hydrogen temperature and nonthermal speed as well as Doppler velocities at different atmospheric levels. We conclude that the MLSI is a very useful tool to analyze the Hα line and the Ca ii 8542 line spectral daya, and will promote the investigation of physical processes occurring in the solar photosphere and chromosphere.

A computer program for automatic correlation of marine magnetic profiles is developed and tested. This method first analyze the power spectra of two series, a short one selected from the reference profile and a long one chosen from the other profile, to obtain the direction and rate of stretching and then correlation is made. The method appears to be relatively sensitive to noise contained in data, but it saves a large amount of computing time as compared with the iterative stretching and cross-correlation method. And the method is specially effective for correlating profiles whose spreading rates and direction are variable within limited range of change. Reduction to pole technique has been applied to marine magnetic profiles to correct asymmetric patterns of the data due to different magnetization direction. Correlation made between pole-reduced data sets give improved results in many cases.