Deep Dive into DESIRE: New Approaches for Inversion Codes

The instructor discusses recent recovery from a coronavirus infection and expresses gratitude for participants' support.

Acknowledgment of the progress made in previous tutorials as the course reaches a milestone.

Overview of today's focus on the DESIRE code related to atmospheric inversion and response functions.

The main goal is to learn how to use the DESIRE code, including synthesis, computation of response functions, and inversions.

Emphasis on covering steps needed to adapt before running synthesis and inverting observational data.

The session aims to help compare simulations with observations and reproduce spectral signatures.

DESIRE is an analytical inversion code that provides reliable results, particularly in Local Thermodynamic Equilibrium (LTE).

The discussion includes the need for non-LTE approximations when working with chromospheric lines.

Describes how DESIRE incorporates knowledge from previous courses to enhance inversion accuracy.

Instructions for downloading and compiling the DESIRE code are provided, along with folder content descriptions.

A simulated run example is demonstrated to check if the installation was successful and functioning as expected.

Participants are informed about compiling routines and the layout of various code components for reference.

The methodology for performing inversions with DESIRE focuses on modifying atmospheric conditions to match observed data.

The importance of response functions in determining how sensitive spectral lines are to atmospheric changes is highlighted.

Discussions regarding synthesizing profiles and analyzing the output for consistency with observed data are introduced.

The instructor addresses participants' questions regarding the differences between DESIRE and other codes like RH.

Suggestions for homework include downloading and setting up the code, while also preparing for next week's exploration of inversion techniques.

Participants are encouraged to reach out via email for support.

Past successful compilations are likely to work now, though previous issues may persist.

Assistance will be provided for running computations.

Future classes will involve a step-by-step analysis of computational examples.

Files will be reviewed one at a time to ensure understanding.

Previous tutorials will not be reused; all concepts will be explained from scratch.

The next class is scheduled for February 11th.

A consistent two-week schedule for classes is planned.

No immediate plans to introduce Python utilities in class; the focus will be on IDL.

Ricardo, an associate, has Python routines that could be shared for file operations.

The possibility of making these Python routines available in Dropbox is being explored.

Participants are welcome to ask questions about file formats and routines.

A specific question about additional file formats for input and output was discussed.