1 / 21

Systematic Detections of Starbursting Dwarf Galaxies

Systematic Detections of Starbursting Dwarf Galaxies. Michael Maseda MPIA. Photometric Selection. Detection of Sources. Identify all point sources in grism image Mask 0 th order objects with H F140W < 22.5 Create extraction box in direct image around candidates from grism image

lorna
Download Presentation

Systematic Detections of Starbursting Dwarf Galaxies

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Systematic Detections of Starbursting Dwarf Galaxies Michael Maseda MPIA

  2. Photometric Selection

  3. Detection of Sources • Identify all point sources in grism image • Mask 0th order objects with HF140W < 22.5 • Create extraction box in direct image around candidates from grism image • Match sources within that box to objects in master catalog • Visually inspect the extracted spectrum

  4. Detection of Sources • Identify all point sources in grism image • Mask 0th order objects with HF140W < 22.5 • Create extraction box in direct image around candidates from grism image • Match sources within that box to objects in master catalog • Visually inspect the extracted spectrum

  5. Detection of Sources • Identify all point sources in grism image • Mask 0th order objects with HF140W < 22.5 • Create extraction box in direct image around candidates from grism image • Match sources within that box to objects in master catalog • Visually inspect the extracted spectrum

  6. Detection of Sources • Identify all point sources in grism image • Mask 0th order objects with HF140W < 22.5 • Create extraction box in direct image around candidates from grism image • Match sources within that box to objects in master catalog • Visually inspect the extracted spectrum

  7. Grism Direct

  8. Detection of Sources • Identify all point sources in grism image • Mask 0th order objects with HF140W < 22.5 • Create extraction box in direct image around candidates from grism image • Match sources within that box to objects in master catalog • Visually inspect the extracted spectrum

  9. Detection of Sources • Identify all point sources in grism image • Mask 0th order objects with HF140W < 22.5 • Create extraction box in direct image around candidates from grism image • Match sources within that box to objects in master catalog • Visually inspect the extracted spectrum

  10. Sanity Check • Arjen found two objects in the ERS pointing • I blindly found his two, plus an additional object that is possibly an Hα source at z=1 • Broad-band photometry confirmed the excess in the J-band

  11. Advantages • Can be used to find these objects at different redshifts and at lower S/N • Not forced to use the 3D-HST catalog • Can find objects fainter than the HF140W < 25 limit • Simple enough to be done right now!

  12. But… • It’s not 100% automated • Current 3D-HST coverage is missing the pointings that Arjen used in UDS and GOODS-S • Only have the single ERS pointing as a test

  13. Conclusion • Our small test showed promising results • Can we assume that this is enough and continue with other fields? • Or we can look for high-EW objects in the 3D-HST catalog (in-progress for GOODS-S 27) • Eventually want to be able to make detections deep into the noise

  14. 0th Order Magnitude Calibration

  15. 0th Order Flux Calibration

More Related