Simulations and Observations for the LADUMA Survey - Natasha Maddox SKA Postdoctoral Fellow ACGC, University of Cape Town 2011 SA SKA Bursary ...
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Simulations and Observations for the LADUMA Survey Natasha Maddox SKA Postdoctoral Fellow ACGC, University of Cape Town 2011 SA SKA Bursary Conference
LADUMA • Looking at the Distant Universe with the MeerKAT Array • Awarded 5000 hours of MeerKAT time for observations of a single pointing • Direct HI detections z≤0.6, stacked detections z≤1.2
LADUMA • Looking at the Distant Universe with the MeerKAT Array • Awarded 5000 hours of MeerKAT time for observations of a single pointing • Direct HI detections z≤0.6, stacked detections z≤1.2 PIs: S.-L. Blyth (UCT), B.W. Holwerda (ESA), A.J. Baker (Rutgers) B. Bassett, M. Bershady, A. Bouchard, F.H. Briggs, B. Catinella, L. Chemin, S. Crawford, C. Cress, J. Darling, R. Davé, R. Deane, E. de Blok, E. Elson, A. Faltenbacher, B. Frank, E. Gawiser, T. Henning, I. Heywood, J. Hughes, M. Jarvis, R. Johnston, S. Kannappan, N. Katz, D. Kereš, H-R. Klöckner, R.C. Kraan-Korteweg, P. Lah, M. Lehnert, A. Leroy, N. Maddox, G. Meurer, M. Meyer, K. Moodley, R. Morganti, D. Obreschkow, S.-H. Oh, T. Oosterloo, D.J. Pisano, S. Ravindranath, S. Rawlings, E. Schinnerer, A. Schröder, K. Sheth, M. Smith, R. Somerville, R. Srianand, L. Staveley-Smith, I. Stewart, M. Vaccari, P. Väisänen, K.J. van der Heyden, W. van Driel, M. Verheijen, F. Walter, E. Wilcots, T. Williams, P. Woudt, M. Zwaan
LADUMA: Key Goals • To investigate the HI mass function in different environments to z≤0.6 z≤0.06 Martin et al 2010
LADUMA: Key Goals • To investigate the HI mass function in different environments to z≤0.6 • To measure the evolution of ΩHI using HI emission to z≤1.2
LADUMA: Key Goals • To investigate the HI mass function in different environments to z≤0.6 • To measure the evolution of ΩHI using HI emission to z≤1.2 P Lah, Private Communication
LADUMA: Key Goals • To investigate the HI mass function in different environments to z≤0.6 • To measure the evolution of ΩHI using HI emission to z≤1.2 • To determine how galaxies’ HI masses depend on stellar/halo mass with redshi4
LADUMA: Key Goals • To investigate the HI mass function in different environments to z≤0.6 • To measure the evolution of ΩHI using HI emission to z≤1.2 • To determine how galaxies’ HI masses depend on stellar/halo mass with redshi4 • To measure the evolution of the baryonic Tully- Fisher relation
LADUMA field: • Pointing centred on ECDF-S (dec=-27) • Significant multi- wavelength data ECDF-S 0.3deg2 already exist
LADUMA field: • Pointing centred on ECDF-S (dec=-27) • Significant multi- z=0 0.9 deg2 wavelength data ECDF-S 0.3deg2 already exist
LADUMA field: • Pointing centred on z=1 ECDF-S (dec=-27) 3.8 deg2 • Significant multi- z=0 0.9 deg2 wavelength data ECDF-S 0.3deg2 already exist
LADUMA field: z=1.2 4.5 deg2 • Pointing centred on z=1 ECDF-S (dec=-27) 3.8 deg2 • Significant multi- z=0 0.9 deg2 wavelength data ECDF-S 0.3deg2 already exist
LADUMA field: z=1.2 4.5 deg2 • Pointing centred on z=1 ECDF-S (dec=-27) 3.8 deg2 • Significant multi- z=0 0.9 deg2 wavelength data ECDF-S 0.3deg2 already exist • Existing data help determine requirements
Ancillary Data: • Multi-band photometry and spectroscopy required over entire field of view
Ancillary Data: • Multi-band photometry and spectroscopy required over entire field of view • Accurate spectroscopic✳ redshi4s critical for success of LADUMA (especially at high redshi4)
Ancillary Data: • Multi-band photometry and spectroscopy required over entire field of view • Accurate spectroscopic✳ redshi4s critical for success of LADUMA (especially at high redshi4) • Observations started this semester so data will be in place for 2016
Ancillary Data: • Multi-band photometry and spectroscopy required over entire field of view • Accurate spectroscopic✳ redshi4s critical for success of LADUMA (especially at high redshi4) • Observations started this semester so data will be in place for 2016 • ANU SkyMapper multi-band optical imaging already underway
Ancillary Data: • Multi-band photometry and spectroscopy required over entire field of view • Accurate spectroscopic✳ redshi4s critical for success of LADUMA (especially at high redshi4) • Observations started this semester so data will be in place for 2016 • ANU SkyMapper multi-band optical imaging already underway • 7.5 hours of Rutgers + South African time allocated with RSS MOS on SALT for Autumn 2011
LADUMA Simulations:
LADUMA Simulations: • Important to understand what we expect to observe
LADUMA Simulations: • Important to understand what we expect to observe • Help direct planning of both radio and ancillary observations
LADUMA Simulations: • Important to understand what we expect to observe • Help direct planning of both radio and ancillary observations • Assist so4ware development, pipeline algorithms, and analysis methods
LADUMA Simulations: • Important to understand what we expect to observe • Help direct planning of both radio and ancillary observations • Assist so4ware development, pipeline algorithms, and analysis methods • NOTE: This is a preliminary investigation, to be used in conjunction with other MeerKAT-specific simulations
S3: The SKA Simulated Skies http://s-cubed.physics.ox.ac.uk • Use the Millennium Simulation + semi- analytic models to construct a virtual Universe • “Observations” of this Universe can be made Obreschkow et al. 2009b, Obreschkow et al., 2009d
Strategy: (1) Extract a volume from S3 that represents initial phase of LADUMA observations (zHI≤0.6) (2) Construct “data cubes” using STools facility, setting beam size, noise level, channel width. (No continuum emission, interference, or other complicating factors associated with actual observations at this stage) (3) Detect sources using Duchamp source finder (M. Whiting, ATNF CSIRO)
Simulation variables: • Channel width = 72kHz here for manageable cubes • Noise level = 33μJy per 72kHz channel for 1000h observation • Beam size and FoV increase with redshi4 • Working on finding optimal source finder parameters
Preliminary Results
Preliminary Results • Number of galaxies in the simulation volume as a function of redshi4:
Preliminary Results • Number of galaxies in the simulation volume as a function of redshi4: Min Freq Min Freq 1000MHz 900MHz
Preliminary Results • Number of galaxies detected in the simulation volume as a function of redshi4:
Preliminary Results • Number of galaxies detected in the simulation volume as a function of redshi4:
HI Mass detections: • MHI of galaxies in the simulation volume as a function of redshi4:
HI Mass detections: • MHI of detected galaxies in the simulation volume as a function of redshi4:
Future work: • LADUMA all team meeting at UCT Jan 2012 • Source finding workshop at UCT Jan 2012 ➡ Find optimal parameters in Duchamp source finder (ideas welcome!) • Optimise observing strategy for final MeerKAT specifications • Keep collecting both multi-band imaging and spectroscopy covering entire field of view
Summary • LADUMA survey is making progress (no longer in purely planning stage)
Summary • LADUMA survey is making progress (no longer in purely planning stage) • Ancillary data collection is critical for success
Summary • LADUMA survey is making progress (no longer in purely planning stage) • Ancillary data collection is critical for success • Simulations (these and others) essential for fine- tuning observing strategy and understanding the results
Summary • LADUMA survey is making progress (no longer in purely planning stage) • Ancillary data collection is critical for success • Simulations (these and others) essential for fine- tuning observing strategy and understanding the results Dec RA z
Ancillary Data: • Match observing facilities to the task ECDF-S ~0.54 deg
Ancillary Data: RSS MOS • Match observing facilities to the task ECDF-S ~0.54 deg
Ancillary Data: RSS MOS • Match observing facilities to the task ECDF-S ~0.54 deg
Ancillary Data: RSS MOS • Match observing facilities to the task • Use smaller telescopes for ECDF-S bright targets, use SALT for faint objects ~0.54 deg
Example RSS MOS mask:
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