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Surface photometry tools in Astro-WISE

Surface photometry tools in Astro-WISE. For the Astro -WISE consortium Gijs Verdoes Kleijn OmegaCEN / Kapteyn Groningen University. GALPHOT in Astro-WISE. Astro-WISE galphot models in ds9. GALFIT. Astro-WISE galfit models in ds9. Data lineage and source analysis. Database link.

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Surface photometry tools in Astro-WISE

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  1. Surface photometry tools in Astro-WISE For the Astro-WISE consortium Gijs Verdoes Kleijn OmegaCEN/Kapteyn Groningen University

  2. GALPHOT in Astro-WISE Astro-WISE galphot models in ds9

  3. GALFIT Astro-WISE galfit models in ds9

  4. Data lineage and source analysis Database link SourceLink: SourceListID+SourceID (“SLID+SID”)

  5. Data lineage & configuration of GALFIT run In red: info provided by data lineage • The usage of data lineage allows to run with SLID+SID as only input:

  6. Grouping GalFit runs • Analogy with SLID+SID: GFLID GFID l.GFLID

  7. Data lineage and GALFIT input galaxy selection def select_flaming(self): attrlist=self.alrbvmpe.get_attributes_on_associates().keys() i_b,i_v,i_r=attrlist.index('b'),attrlist.index('v'),attrlist.index('r') i_zphot=attrlist.index('zphot') data = self.alrbvmpe.associates.get_data(attrlist, mask=2**0+2**3, mode='INTERSECT') self.flaming_sids=([int(data[aid][0][1]) for aid in data.keys() if (data[aid][3][i_b]-data[aid][3][i_r])>0.8 and (data[aid][3][i_b]-data[aid][3][i_r])<1.3 and data[aid][3][i_r]>17.6 and data[aid][3][i_r]<19.3 and data[aid][3][i_zphot]>0.28 and data[aid][3][i_zphot]<0.4])

  8. Inspecting GALFIT results

  9. Inspecting GALFIT results

  10. Data lineage and querying for GALFIT results

  11. Next steps • Source analysis tools • Data lineage: splinter on SourceLink method consistently (Ewout) • More tools for surveys?: collaborate with survey teams • Create user-contributed corner in Astro-WISE • Re-ingest galphot/galfit subtracted images Verdoes/Bos • Exports to aladin/topcat (Buddelmeijer/Belikov) • Relative astrometry Koppenhoefer • etc….

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