UO-SIM OU-PHZ interactions Francisco Javier Castander on behalf of - - PowerPoint PPT Presentation

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UO-SIM OU-PHZ interactions Francisco Javier Castander on behalf of - - PowerPoint PPT Presentation

UO-SIM OU-PHZ interactions Francisco Javier Castander on behalf of OU-PHZ Institut de Cincies de lEspai, ICE (IEEC/CSIC), Barcelona OU-PHZ within SGS OU-PHZ Goal SIP: EC SGS processing function that computes redshifts from


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SLIDE 1

UO-SIM OU-PHZ interactions

Institut de Ciències de l’Espai, ICE (IEEC/CSIC), Barcelona

Francisco Javier Castander

  • n behalf of OU-PHZ
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SLIDE 2

OU-PHZ within SGS

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SLIDE 3
  • SIP: EC SGS processing function that computes redshifts from

multi-wavelength imaging data

OU-PHZ Goal Operation

  • From level 2 catalogues computes level 3 photometric redshifts
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SLIDE 4
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SLIDE 5
  • SIP: EC SGS processing function that computes redshifts from

multi-wavelength imaging data

OU-PHZ Goal Operation

  • From level 2 catalogues computes level 3 photometric redshifts

Need from OU-SIM

  • Input catalogues, instrument responses and validation output
  • what should the input catalogues include?
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SLIDE 6
  • mock galaxy catalogues, instrument response

OU-PHZ – OU-SIM interactions Input data needed Status/Plan algorithms

  • To generate catalogues: several groups have already code
  • photo-z algorithms: several within the collaboration

Framework

  • Access to galaxy catalogue parameters & instrument performances

Output data

  • Redshifts
  • redshift PDF
  • other galaxy parameters: stellar mass, SFR, ….
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SLIDE 7
  • Photometry (magnitudes/fluxes, errors)
  • What kind?
  • simple aperture
  • scaled aperture (isophotal, Kron, petrosian,…
  • weighted aperture: PSF-matched
  • model magnitude
  • error: statistical and/or systematics: need to go through

imaging?

  • gradients
  • Euclid + ground surveys
  • Other galaxy parameters: radius, concentration, ellipticity,

components decomposition (e.g., bulge-disk), surface brightness, …

OU-PHZ Needs Mock catalogues

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SLIDE 8
  • training and validation samples
  • galaxy modeling and observations
  • which objects? Galaxies, AGN, stars
  • need clustering? N(z) through cross-correlation

OU-PHZ Needs Mock catalogues Instrument response

  • total transmission
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SLIDE 9
  • Simulations what for?
  • photo-z algorithms
  • imaging and pipeline needs
  • spectroscopic needs
  • templates build-up
  • needs for cross-correlations
  • How much needs/can/should be done within OU-PHZ (some

photo-z codes already set-up to generate simulations/mocks) and how much done by OU-SIM?

  • anyhow done within OU-SIM infrastructure
  • role of other OUs (OU-MER)
  • Some mocks needs to go through other OUs -> Data challenge: e2e

Needed for realistic? errors and systematics

  • data model: what parameters needed in the simulations?

OU-PHZ -- OU-SIM interactions

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SLIDE 10