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Extremely Large Telescopes and Surveys

Extremely Large Telescopes and Surveys. Mark Dickinson, NOAO. Surveys are a matter of definition…. Surveys address problems needing: large statistical datasets many different coordinated data sets uniform data quality Surveys produce data sets that:

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Extremely Large Telescopes and Surveys

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  1. Extremely Large Telescopes and Surveys Mark Dickinson, NOAO

  2. Surveys are a matter of definition… • Surveys address problems needing: • large statistical datasets • many different coordinated data sets • uniform data quality • Surveys produce data sets that: • are calibrated, distributed, documented data products • can be used for many purposes • are likely to be used by many people, beyond the original team • Surveys often (not always) involve big teams • Surveys usually require substantial resources: • telescope time • people • $$$ M. Dickinson - GSMT Workshop

  3. GOODS as an example • Builds off precursor data sets • Hubble Deep Field • Chandra Deep Fields • Keck & VLT spectroscopy for the above • An “anthology” of multiwavelength survey programs from the GOODS team(s) & broader community • HST, Spitzer, Chandra, Herschel, VLT, Keck, NOAO, VLA, JCMT, LMT… • Most datasets easily & widely available to the community • 300+ refereed publications w/ 10000+ citations • Significant majority now from the broader community M. Dickinson - GSMT Workshop

  4. HST/ACS GALEX Spitzer 24m Chandra M. Dickinson - GSMT Workshop

  5. 5200+ redshifts: 2200 @ z > 1 830 @ z > 2 335 @ z > 3 142 @ z > 4 50 @ z > 5 5 @ z > 6 1450 w/ i775 > 24 420 w/ i775 > 25 VLT spectroscopy (ESO Large Program + several other campaigns) VLT near-IR imaging (ESO Large Program) M. Dickinson - GSMT Workshop

  6. ELTs and Surveys • TMT/GMT will be used to follow up objects from surveys carried out with other facilities • E.g., IFU dissection of objects identified by LSST, JWST, SPICA, ALMA, etc. • TMT/GMT will be used to carry out their own surveys • E.g., optical MOS tomographic survey of large scale structure in galaxies and the IGM M. Dickinson - GSMT Workshop

  7. GN26 Steady, ultraluminous star formation at z ~ 2? Not well understood! Daddi et al. 2007 Daddi et al. 2008, Frayer et al. 2008 M. Dickinson - GSMT Workshop

  8. TMT IFU on high-z galaxy (simulation) Calzetti et al. 2005: SINGS (z~0) Genzel et al. 2006: SINFONI (z~2) ELTs + ALMA, SKA, JWST will dissect kinematics, ionized & molecular gas content & properties, dust emission & extinction, stellar populations, etc. on sub-kpc scales at z~2 M. Dickinson - GSMT Workshop

  9. ELT science cases include large surveysE.g., mapping galaxies and the IGM in 3D at high redshift M. Dickinson - GSMT Workshop

  10. ALMA LSST SKA Con-X JWST SPICA JDEM M. Dickinson - GSMT Workshop

  11. The context of other facilities • TMT/GMT will exist in an era where: • We have many powerful, multiwavelength observatories • We have survey facilities producing huge volumes of data • We have observers who are increasingly comfortable with multiwavelength science • Multi-facility time allocation (see Letizia’s talk): • NOAO multi-telescope programs are a modest but steady fraction of proposals • NOAO time extensively supports space observing programs: • 2000B-2005A: >1100 nights allocated that support or complement space-based observations • Small minority allocated via joint NASA/NOAO programs • Double jeopardy vs. higher hurdles for higher rewards? M. Dickinson - GSMT Workshop

  12. Surveys and time allocation • Surveys require substantial investments of observing time, which may be precious for the national community • This takes away from time available for smaller, “individual investigator” programs • NOAO allocations for 6.5-10m telescopes strongly skewed toward small programs • Large telescopes excluded from NOAO Survey Programs • Few long-term or multicycle allocations • Large, multi-season time allocations are more common with VLT and at US private observatories • Surveys should give something back to the community: • Broad opportunities for community participation in survey teams • Funding for community data analysis & archival research M. Dickinson - GSMT Workshop

  13. M. Dickinson - GSMT Workshop

  14. Surveys, archives & pipelines • Surveys require archives to distribute data products • Archives can enable ‘virtual surveys’ of their holdings via data-mining • Surveys may be facilitated by pipelines for data processing • This need not require that the observatory provide them • Instrument teams may provide algorithms, software • Survey teams can contribute to pipeline development & testing M. Dickinson - GSMT Workshop

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