deeper knowledge through confusion

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National Radio Astronomy Observatory EVLA Workshop Deeper Knowledge Through Confusion Jim Condon

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Deeper Knowledge Through Confusion. Jim Condon. Outline:. What can sensitive 1–10 GHz continuum surveys tell us about galaxy evolution? Current problems with continuum surveys - PowerPoint PPT Presentation

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Page 1: Deeper Knowledge  Through Confusion

National Radio Astronomy Observatory EVLA Workshop

Deeper Knowledge Through Confusion

Jim Condon

Page 2: Deeper Knowledge  Through Confusion

EVLA Workshop 2008 Dec 17

Outline:

• What can sensitive 1–10 GHz continuum surveys tell us about galaxy evolution?

• Current problems with continuum surveys• EVLA: 5X deeper knowledge through confusion

( ~ 1000 nJy at 1.4 GHz, 600 nJy at 3 GHz, 400 nJy at 6 GHz, and 250 nJy at 10 GHz)

• Unique EVLA contributions as a continuum pathfinder for the SKA

Page 3: Deeper Knowledge  Through Confusion

EVLA Workshop 2008 Dec 17

FIR and radio flux densities of star-forming galaxies are correlated so the rescaled FIR (dashed curve) and radio (solid curve) LLFs of star-forming galaxies coincide; FIR and radio trace the same SFRD.

solid curve: 1.4

GHz

dashed curve: FIR

Page 4: Deeper Knowledge  Through Confusion

EVLA Workshop 2008 Dec 17

Luminosity Evolution

Local visibility functionyieldscounts normalized by static Euclidean counts

∆ log(L) ~ 1.2 evolutionfor all radio sources <z> ~ 0.8, ∆ log(z) ~ 0.5over wide flux range

stars

AGN

AGN

stars

Page 5: Deeper Knowledge  Through Confusion

EVLA Workshop 2008 Dec 17

Condon (1989) and Wilner et al. (2008) models

Page 6: Deeper Knowledge  Through Confusion

EVLA Workshop 2008 Dec 17

Evolution of Star Formation: Radio View

Page 7: Deeper Knowledge  Through Confusion

EVLA Workshop 2008 Dec 17

Problems with current faint-source counts

Huynh et al. (2005)

P(D)1.4 GHz

Page 8: Deeper Knowledge  Through Confusion

EVLA Workshop 2008 Dec 17

Page 9: Deeper Knowledge  Through Confusion

EVLA Workshop 2008 Dec 17

Page 10: Deeper Knowledge  Through Confusion

EVLA Workshop 2008 Dec 17

Deepest counts seem to disagree

Page 11: Deeper Knowledge  Through Confusion

EVLA Workshop 2008 Dec 17Isotropy of faint NVSS sources

Page 12: Deeper Knowledge  Through Confusion

EVLA Workshop 2008 Dec 17

1.4 GHz source counts in 17 FLS fields

2 is consistent with no clustering (P > 30%)• “Cosmic rms” < 16% (P > 99%)

Page 13: Deeper Knowledge  Through Confusion

EVLA Workshop 2008 Dec 17

Faint sources and sky brightness

Page 14: Deeper Knowledge  Through Confusion

EVLA Workshop 2008 Dec 17

Page 15: Deeper Knowledge  Through Confusion

EVLA Workshop 2008 Dec 17

EVLA sensitivity and confusion surveys

Page 16: Deeper Knowledge  Through Confusion

EVLA Workshop 2008 Dec 17

Page 17: Deeper Knowledge  Through Confusion

EVLA Workshop 2008 Dec 17

EVLA confusion surveys as pathfinders for SKA

Page 18: Deeper Knowledge  Through Confusion

EVLA Workshop 2008 Dec 17

Ultimate radio survey limits

• confusion:

c~ .03 K (1.4 GHz) instrumental natural• field of view Ω• dynamic range• noise

Page 19: Deeper Knowledge  Through Confusion

EVLA Workshop 2008 Dec 17

Summary:

• S ~ 1 Jy surveys at 1.4 GHz can constrain the evolution of the SFRD to z ~ 1.5

• Current surveys disagree below S ~ 100 Jy• EVLA confusion surveys could yield source

counts to S ~ 1 Jy at 1.4 GHz and measure the effective spectral index at this level.

• EVLA confusion surveys will be the deepest pathfinders for SKA continuum surveys, and they will approach the natural confusion limit.

Page 20: Deeper Knowledge  Through Confusion

EVLA Workshop 2008 Dec 17

Page 21: Deeper Knowledge  Through Confusion

EVLA Workshop 2008 Dec 17

X-band surveys

• Small numbers of sources• Spectral-index distributions differ?

Page 22: Deeper Knowledge  Through Confusion

EVLA Workshop 2008 Dec 17Isotropy of strong sources

Page 23: Deeper Knowledge  Through Confusion

EVLA Workshop 2008 Dec 17

Detecting distant sources and characterizing source populations

Page 24: Deeper Knowledge  Through Confusion

EVLA Workshop 2008 Dec 17

The recent SFRD is

proportional to

∫um d log(L) =

1.5 1019 W Hz-1

Mpc-3 at 1.4 GHz

M82

Arp 220

Power-density functions

Vir A

Page 25: Deeper Knowledge  Through Confusion

EVLA Workshop 2008 Dec 17

Page 26: Deeper Knowledge  Through Confusion

EVLA Workshop 2008 Dec 17

The 1.4 GHz sky at 5 arcsec resolution, 23 µJy/beam = 0.6 K rms noise

~1/2 AGN ~1/2 star-

forming galaxies

part of the Spitzer FLS / VLA survey