What do we want from mul0- wavelength all- sky datasets to support radio surveys?

Transcription

1 What do we want from mul0- wavelength all- sky datasets to support radio surveys? CSIRO ASTRONOMY & SPACE SCIENCE Nick Seymour Future Fellow 13 December 2013 Astroinforma:cs

2 Evolu0on Of Radio Surveys Plot from Ron Ekers Astroinforma:cs 2013 Nick Seymour Page 2

3 Evolu0on Of Radio Surveys u SKA1_SURVEY Plot from Ron Ekers Astroinforma:cs 2013 Nick Seymour Page 3

4 The Evolutionary Map of the Universe Project Deep, all-sky radio continuum survey (3π) Frequency range MHz 10uJy/beam rms 40 x better sensitivity than NVSS 5 x better resolution than NVSS Better sensitivity to extended structures than NVSS Will detect and image ~70 million galaxies at 1.4GHz All data to be processed in pipeline Images, catalogues, cross-ids, to be placed in public domain Total integration time: ~1.5 years Commensurate with Polarisation and HI surveys Astroinforma:cs 2013 Nick Seymour Page 4

5 Stripe 82/SPT Blurb B2

6 ASKAP12+ Stripe 82/SPT Blurb B2

7 SKA1 ASKAP12+ Stripe 82/SPT Blurb B2

8 Philosophy To provide an enhanced data product to maximise the scien:fic return from the EMU survey These data products include cross- IDs at other wavelengths, es:mates of redshio/class of source etc. Astroinforma:cs 2013 Nick Seymour Page 8

9 Philosophy To provide an enhanced data product to maximise the scien:fic return from the EMU survey These data products include cross- IDs at other wavelengths, es:mates of redshio/class of source etc. EMU Value- added Catalogue (EVACat) Astroinforma:cs 2013 Nick Seymour Page 9

10 What is EVACat? Enhanced data product with mul:- λ photometry and derived astrophysical quan::es VO compliant/accessible to the community Hosted by CSIRO ASKAP Science Data Archive (CASDA) Part of a larger data management plan Publicly available in :mely manner Astroinforma:cs 2013 Nick Seymour Page 10

11 XID EPG Pen:cton Mee:ng Nick Seymour Page 11

12 XID TAIPAN spectroscopic r< EPG Pen:cton Mee:ng Nick Seymour Page 12

13 XID lines of constant numbers of radio sources (S 1.4GHz >50µJy) with spectroscopy EPG Pen:cton Mee:ng Nick Seymour Page 13

14 Blah Data Astroinforma:cs 2013 Nick Seymour Page 14

15 Blah Informa:on Data Astroinforma:cs 2013 Nick Seymour Page 15

16 Blah Knowledge Informa:on Data Astroinforma:cs 2013 Nick Seymour Page 16

17 Papers Wisdom & Insight Blah Knowledge Informa:on Data Astroinforma:cs 2013 Nick Seymour Page 17

18 Papers Wisdom & Insight Knowledge Blah Informa:on Data Astroinforma:cs 2013 Nick Seymour Page 18

19 Straw man plan EPG Pen:cton Mee:ng Nick Seymour Page 19

20 ASKAP Central Processor CASDA Level 5 QC Level 6 Level 6 Level 7 EMU Metrics & Science WTF EVACat Interac0on with CASDA External Data Astroinforma:cs 2013 Nick Seymour Page 20

21 ASKAP Central Processor CASDA Level 5 QC Level 6 Level 6 Level 7 EMU Metrics & Science WTF EVACat Interac0on with CASDA External Data Astroinforma:cs 2013 Nick Seymour Page 21

22 Stages of EVACat External Data EMU Level 6 XID zemu RGZ + WTF2 EMU Level 7 Morph cemu Astroinforma:cs 2013 Nick Seymour Page 22

23 Stages of EVACat External Data EMU Level 6 XID zemu RGZ + WTF2 EMU Level 7 Morph cemu Astroinforma:cs 2013 Nick Seymour Page 23

24 Cross- iden0fica0ons Step beyond nearest neighbour Several techniques: Likelihood Ra:o Poisson Probability See Stuart s talk Incorporate mul:ple radio sources Mul:ple IR matches Provide general tool Astroinforma:cs 2013 Nick Seymour Page 24

25 Morphological analysis Coefficients Concentra:on Smoothness Asymmetry Gini M 20 Develop radio specific ones Astroinforma:cs 2013 Nick Seymour Page 25

26 RedshiLs and classes Distance and what powers the radio emission: star forma:on or black holes. Photometric template finng Gaussian Vector k Nearest Neighbour Self- Organising Map Salvato+14 Astroinforma:cs 2013 Nick Seymour Page 26

27 RedshiLs and classes Distance and what powers the radio emission: star forma:on or black holes. Photometric template finng Gaussian Vector k Nearest Neighbour Self- Organising Map Eureka astroml Salvato+14 Astroinforma:cs 2013 Nick Seymour Page 27

28 Conclusions The EMU Value-added Catalogue is vital to maximise the scientific return of ASKAP Need to use more sophisticated tools than has been traditionally used Image: Tim Shimwell

29 Judge: I ve listened to you for an hour and I m none wiser. Council: None the wiser, perhaps, my lord but certainly better informed. What do we want from mul0- wavelength all- sky datasets to support radio surveys? CSIRO ASTRONOMY & SPACE SCIENCE Nick Seymour Future Fellow 13 December 2013 Astroinforma:cs