logging in or signing up aas calzetti CoolDude26 Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINT Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 40 Category: Science & Tech.. License: All Rights Reserved Like it (0) Dislike it (0) Added: August 29, 2007 This Presentation is Public Favorites: 0 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript Star Formation and Starburst Galaxies in the Infrared: Star Formation and Starburst Galaxies in the Infrared Daniela Calzetti (STScI) 199th AAS Meeting, Washington DC, January 9th 2002 The Unanswered Questions in Star Formation : The Unanswered Questions in Star Formation What are the regulating mechanisms of SF? What determines the intensity, duration (duty cycle) and spatial evolution (self-triggering?) of a SF event? What is the feedback of SF onto the host galaxy? How are these mechanisms tied to the global properties of the host galaxies? How many modes of SF there are? The answers will also provide recipes for galaxy evolution models Slide3: Nuclear region of M83 (D~4 Mpc) Answering requires the study of the age distributions and SF history of the young stellar populations in galaxies How to approach the problem for unresolved pops? N.B.: dust-age degeneracy! The Impact of Dust Obscuration: The Impact of Dust Obscuration Dust removes 20% -50% of stellar light in Local Galaxies Regions of star formation are the most heavily obscured. The Advantage of Multi-l Data: The Advantage of Multi-l Data Long baseline discriminates a dusty stellar population from an ageing one (e.g., U-B as age indicator) Determining Ages and SFHs: Determining Ages and SFHs Stellar Clusters Diffuse Population What SNAP Can Do: What SNAP Can Do Multi-l capability: discriminates age/dust, derives ages Spatial resolution ~HST WFPC2 in the optical and ~HST NICMOS/NIC2 in the IR, plus photometric stability: resolves individual stellar components (e.g., clusters) AB=29 mag with S/N=5 in 10,000 secs: detects a 104 Mo, 10 Myr old cluster at 12.5 Mpc and a 100 Myr old cluster at 5 Mpc Degree (arcmin in IR) FOV: Local Galaxies (beyond the Local Group) have sizes that range between a few arcmin and 30-40 arcmin Age Maps: Age Maps Nuclear region of M83 (Harris et al. 2001) Mapping the SFH of local galaxies will unveil the nature of the star formation mechanisms as a function of galactic parameters. Conclusions: Conclusions Regulating mechanisms of SF and their dependence on global galactic parameters are virtually unknown Age distributions and SF histories of young stellar populations in nearby galaxies will provide clues on those mechanisms Effective age determinations, for both resolved and unresolved populations, require homogeneous sets of multi-wavelength data, as those SNAP can provide You do not have the permission to view this presentation. In order to view it, please contact the author of the presentation.
aas calzetti CoolDude26 Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINT Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 40 Category: Science & Tech.. License: All Rights Reserved Like it (0) Dislike it (0) Added: August 29, 2007 This Presentation is Public Favorites: 0 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript Star Formation and Starburst Galaxies in the Infrared: Star Formation and Starburst Galaxies in the Infrared Daniela Calzetti (STScI) 199th AAS Meeting, Washington DC, January 9th 2002 The Unanswered Questions in Star Formation : The Unanswered Questions in Star Formation What are the regulating mechanisms of SF? What determines the intensity, duration (duty cycle) and spatial evolution (self-triggering?) of a SF event? What is the feedback of SF onto the host galaxy? How are these mechanisms tied to the global properties of the host galaxies? How many modes of SF there are? The answers will also provide recipes for galaxy evolution models Slide3: Nuclear region of M83 (D~4 Mpc) Answering requires the study of the age distributions and SF history of the young stellar populations in galaxies How to approach the problem for unresolved pops? N.B.: dust-age degeneracy! The Impact of Dust Obscuration: The Impact of Dust Obscuration Dust removes 20% -50% of stellar light in Local Galaxies Regions of star formation are the most heavily obscured. The Advantage of Multi-l Data: The Advantage of Multi-l Data Long baseline discriminates a dusty stellar population from an ageing one (e.g., U-B as age indicator) Determining Ages and SFHs: Determining Ages and SFHs Stellar Clusters Diffuse Population What SNAP Can Do: What SNAP Can Do Multi-l capability: discriminates age/dust, derives ages Spatial resolution ~HST WFPC2 in the optical and ~HST NICMOS/NIC2 in the IR, plus photometric stability: resolves individual stellar components (e.g., clusters) AB=29 mag with S/N=5 in 10,000 secs: detects a 104 Mo, 10 Myr old cluster at 12.5 Mpc and a 100 Myr old cluster at 5 Mpc Degree (arcmin in IR) FOV: Local Galaxies (beyond the Local Group) have sizes that range between a few arcmin and 30-40 arcmin Age Maps: Age Maps Nuclear region of M83 (Harris et al. 2001) Mapping the SFH of local galaxies will unveil the nature of the star formation mechanisms as a function of galactic parameters. Conclusions: Conclusions Regulating mechanisms of SF and their dependence on global galactic parameters are virtually unknown Age distributions and SF histories of young stellar populations in nearby galaxies will provide clues on those mechanisms Effective age determinations, for both resolved and unresolved populations, require homogeneous sets of multi-wavelength data, as those SNAP can provide