PART III The Universe in the Cloud Darren Croton Centre for - - PowerPoint PPT Presentation

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PART III The Universe in the Cloud Darren Croton Centre for - - PowerPoint PPT Presentation

PART III The Universe in the Cloud Darren Croton Centre for Astrophysics and Supercomputing Swinburne University dcroton@astro.swin.edu.au Lets recap... The skeleton The flesh Schmidt law star formation SFR


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PART III The Universe in the Cloud

Darren Croton Centre for Astrophysics and Supercomputing Swinburne University dcroton@astro.swin.edu.au

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Let’s recap...

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The skeleton The flesh

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  • Schmidt law star formation
  • SFR dependent SN winds
  • satellite gas stripping
  • morphological transformation
  • assembly through mergers
  • starbursts through mergers
  • Magorrian relation BH growth
  • jet & bubble AGN feedback

Croton et al. 2006

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z=0 dark matter

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z=0 galaxy light

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Physical consequences

AGN SN AGN

Croton et al. 2006

(∝mBHσ3) (∝SFR)

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Our model is only as good as the questions we ask For systems with infinite levels of complexity, our model can never be “correct”

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Croton et al. 2005

2dFGRS

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merger driven growth disk instability driven growth

black hole-bulge

Haring & Rix 2005

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Croton et al. 2006, 2012 (in prep.)

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The exact values of the parameter choices are (mostly) meaningless

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WHAT’S IMPORTANT? THE QUESTIONS WE ASK!

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What do most astronomers want from mock galaxy catalogues? How do they want to access this data?

Questions ...

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Most astronomers I work with don’t want to have to learn a new language to download simulated data Most are only interested in data access, they want to process it themselves

Questions ...

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Put the code behind a curtain and allow people to access and use it remotely via the “cloud”

Stepping stone ...

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Max Bernyk Simon Mutch

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Bernyk, Croton et al. 2012 (in prep.)

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Astronomy Australia Limited

HPC Working Group Report: Priority 1... Australia needs to build an astronomical data fabric that links ... data flowing from telescopes like SkyMapper, ASKAP and MWA.

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Astronomy Decadal Plan

Mid-Term Review: Priority 5... Investment at a national level in eResearch-related hardware and software systems ... is needed if we are to fully exploit the coming data tsunami from the current and upcoming telescopes and instruments.

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There is a data tsunami coming

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ASKAP +Pawsey SkyMapper +NCI

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https://www.nectar.org.au/all-sky-virtual-observatory

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Simulation database Web form data query Image generation Telescope simulator Light cone generation SEDs + Filters

Millennium, Bolshoi, GiggleZ plus models: SAGE, others Simple (no SQL!) Almost complete (Maraston’05, others soon) Real time, arbitrary parameters

NeCTAR ASVO-TAO “virtual laboratory”

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Millennium (Springel et al. 2005) Bolshoi (Klypin et al. 2010) GiggleZ (Poole et al. in prep.)

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  • Schmidt law star formation
  • SFR dependent SN winds
  • satellite gas stripping
  • morphological transformation
  • assembly through mergers
  • starbursts through mergers
  • Magorrian relation BH growth
  • jet & bubble AGN feedback
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What will CANDELS miss?

ALL stars>109 I<28.6 stars>109 I>28.6 stars>109

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Multiple simulations (Millennium, Bolshoi, GiggleZ Suite, ...) Multiple galaxy formation models (Croton, Somerville, ...) Preset survey parameters

What you get ...

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Light cones and telescope simulators Full SED modelling of mock galaxies Realtime mock image generation Spatially resolved disks, bulges and halo gas MCMC tools to easily build models using any simulation

What we're working on ...

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Models in the cloud - Galacticus, PySAGE, others (tough to do!)

What we're working on ...

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Common data format Sharing of codes, simulations and models

Progress as a community ...

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Simple access to theory data resources (visual, no coding) Common data format and interchangeable tools Same model on different simulations, different models

  • n the same simulations (plug in and play)

Online “natural language” analytic and semi-analytic galaxy modelling Transparency is key

The Future

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PART I: Building synthetic universes PART II: The parameters of galaxy formation PART III: The universe in the cloud

Back to the beginning...

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The basics of how galaxies are built and evolve The uses and limitations of semi-analytic galaxy models The challenge of data access and delivery

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http://tao.it.swin.edu.au/mock-galaxy-factory/ https://www.nectar.org.au/all-sky-virtual-

  • bservatory