Understanding Non-LTE Synthesis in Parallel Programming

The session focuses on performing non-LTE synthesis with parallel programming.

Utilizes atmospheric data extracted from previous simulation runs.

Objective is to compute optical depth while preparing for synthesis.

Preparation of configuration files for the non-LTE synthesis.

Reference to previously created atmosphere and parameters from class tutorials.

Discussion of the initialized settings required for execution.

Instructions on running the synthesis code in parallel mode.

Emphasis on the importance of setting the appropriate number of cores.

Running performance metrics show around seven seconds required for each pixel.

Presentation of results obtained from the parallel run.

Use of various scripts for analyzing the synthesized data.

Wave and intensity analysis of specific lines using Python tools.

Plotting and checking the continuum intensity and line behaviors in simulated spectra.

Analysis of polarization signals from the output data.

Attempting to deduce the presence of magnetic features through line detection.

Introduction of noise to the synthesized profiles to reflect realistic observational conditions.

Challenges in recovering accurate magnetic field values without adequate signal strength.

Future strategies to improve synthetic models and their application in practical scenarios.

Setting up the session for inversion processes based on the synthesized outputs.

Instruction on splitting profiles by required lines for further analysis.

Reiterating the importance of adapting input data for successful inversions.

Recap of the non-LTE synthesis methodology discussed through the session.

Homework involves running synthesized profiles and familiarizing with the code structure.

Next class will focus on inversions using the profiles generated in this session.