GALSYNTH a WEB interface for GRASIL

1. GALSYNTHa WEB interface for GRASIL by Lorenzo Paoletti Amedeo Petrella Danilo Selvestrel (INAF-PD) Speaker Gian Luigi Granato (INAF-PD)

2. GRA(phite)SIL(icate) in a nutshell (Silva et al 98, Silva 99, Granato et al 00, Bressan et al 02, Panuzzo et al 03, Vega et al 05) • 3 dusty environments: dense phase ISM (star forming Molecular Clouds), diffuse phase (cirrus)  clumping of stars and dust, dusty envelopes of AGB stars • Stars are born within MCs and gradually escape as a function of their age  age-dependent extinction • Stars and dust are distributed in a bulge (King profile) + disk (double exponential profile) geometry • Radiative transfer exactly solved in MCs, with approximation in the cirrus • Dust includes big grains, very small grains and PAHs. The emission is appropriately computed for each component • UV-to radio SEDs (continuum, nebular lines, spectral indexes)

3. Motivations to run GRASIL GRASIL is a complex model with several physical and algorithmic parameters, thus difficult to use quickly, and time consuming. Much handier to use rough prescriptions. BUT are they sufficient in general?

4. Why a good model is compulsory?just an example with GALFORM SAM (Durham): 850 m counts predicted by GALFORM with GRASIL and a with a relatively simple prescription calibrated to match GRASIL Same at 25!

5. GALFORM+GRASIL vs SWIRE LFs Babbedge et al in prep.

6. Simple prescription may be calibrated (with observations or good models) to work under certain conditions, but not in general! • Reliability is unpredictable. • vital to have a WEB interface for GRASIL to • guide the user • allow use without compilation/installation • provide computing power • GALSYNTH • (one of our task in MAGPOP proposal..)

7. GALSYNTHthe web interface • After login, users access their own workspaces • Interactive editing of parameters, with explanations and bound checking (3 levels) • Sets of parameters can be saved, modified, reused. Sets include the possibility of iteration over parameters (many models) • The user defines jobs that will be executed on a pool of application servers (at present 3 PCs, easy to add more) • When job completed, user is notified and can download the results of all models packed in one archive (which remains also on the WEB server)

8. Registration and login

9. Users access their own workspaces SETs are sets of input parameters for the codes (CHE sets for CHE_EVO or PAR sets for GRASIL), including definitions of possible iterations on parameters Jobs are batch executions of CHE_EVO+GRASIL sequence according to selected SETs

10. SET definition I Three Levels, the higher the more parameter to set and the greater the allowed range

11. SET definition II

12. SET defined

13. JOB creation

14. Job Status

15. Jobs list and results donwnload

16. Naming of files The .tar.gz output files of a job consisting of iterations on n parameters, contains a set of files for each specific GRASIL model, with names in the format <par name 1>@<par value 1>_…. <par name n>@<par value>_.<extension> Example (job with iteration on etastart, mmolfraz and tgal) : etastart@0.055_mmolfraz@0.8_tgal@7_.spe

17. Results I…

18. Result II… A completely imaginary galaxy SED at 1,3,5,7,9,11 Gyr NB: GALSYNTH (by now) exploits only part of the possibilities of GRASIL…

19. GALSYNTHa WEB interface to run immediately GRASILhttp://web.pd.astro.it/galsynth • Anyone can register and be a user • Users have their workspaces • Interactive editing of parameters, with explanations and bound checking, including iterations • Sets of parameters can be saved, modified, reused. • Batch jobs are executed on a pool of our computers • When job completed, user is notified and downloads models