CASSIS - Present state of the program - LTE model

1. CASSIS -Present state of the program - LTE model Tools: Baseline & gaussian fit Rotational diagram JPL Observed spectrum CDMS compare line-by-line or globally automatic periodic update Vary parameters Recalculate intensities - LTE model Single spectroscopic database Simulated Spectrum

2. Predict overview spectra

3. Select molecules and enter parameters

4. Fitand subtract a baseline skip rapidly from one line to the next

5. Fita gaussian and compare with predictions from the model

6. Show close lying components

7. Interactive creation of rotational diagrams Choose different areas

8. Compare multi-species simulations with observed spectra Choose different areas

9. Comet model

10. SPECTROSC-OPIC BASES JPL CDMS Other Future Developments - done, next step, later? Template (initial source parameters) Statistical tools rotational diagram ANALYSIS TOOLS MODELS Line-by-line & global display AI Collisional databases MODELS comets LVG LTE other

11. CASSIS - Development principles • Specific features of HIFI/HSO • Lots of data in a short time • Very large spectral range (high spectral resolution) • Rapid first analysis needed to define subsequent observations • ESA wants a standard environment for data analysis before launch. • Other instruments • Versatility to work on data from other high-spectral-resolution instruments. • A few transitions large spectral scans

12. CASSIS – development principles • A first spectral analysis should give rapidly a first overview of physical and chemical properties of the studied object • Start with simple models • Access to databases. • As exhaustive as possible. • The user should not have to worry about converting inhomogeneous units or working out different formats. • Give access to the latest data • Respect the intellectual property of database managers and the authors of models. • The task of verifying data and models needs to be shared according to everyone’s personal competences.

13. How CASSIS can help to get the most out of models and data already available. • Controlling what is going on • Faster interactive analysis – the scientist can verify the results at each stage • Visual display • Modularity et homogeneity • Separation of data and models. Free choice of data for each model. • Make available the most recent data • Compare the results of different models in a standard environment. • Associate different analysis tools without worrying about input and output formats.

14. How CASSIS can help to get the most out of models and data already available. • Open project • Available to all qualified scientists • Few conditions on the user. • Contents well documented and verifiable. • User feedback • Knowledge sharing

15. CASSIS – choice of programming language • Simple to use • The computer tools must work in as many computer environments as possible (PC, Mac, workstations, windows, Linux,…). • Easy updating • Compatible with Herschel Space Observatory computer toolboxes • Compatibles with VO toolboxes • Input/output VO compatible. • VO protocols (astrogrid etc.) • JAVA

16. Proposed spectral analysis scheme (in order) • Simulation of spectra to prepare measurement campaigns • (spectral surveys)Identificationof as many species present as possible. • Species by species characterization : • For the species where it is possible : LVG model or equivalent (e.g RADEX) – determination of the best parameters by c2 minimisation. • If LVG not possible or ETL more appropriate : ETL model. Determination of best parameters using a rotational diagram.

17. Proposed spectral analysis scheme (in order) • Simulation of the spectrum for all identified species– slight change in parameters where necessary • Offsets observed in the spectrum. Problems with the theory or the data  feedback • Treat with more sophisticated models. Within or outside the CASSIS project ? For inclusion in CASSIS: • The model must compute spectra rapidly • Or use a table of pre-calculated