Radio transients in the starburst galaxy Arp 220 Lund 2015-02-09 - - PowerPoint PPT Presentation

radio transients in the starburst galaxy arp 220
SMART_READER_LITE
LIVE PREVIEW

Radio transients in the starburst galaxy Arp 220 Lund 2015-02-09 - - PowerPoint PPT Presentation

Radio transients in the starburst galaxy Arp 220 Lund 2015-02-09 Eskil Varenius, John Conway, Ivan Mart-Vidal, Fabien Batejat, Miguel Perez-Torres et. al Chalmers / Onsala Space Observatory Outline Arp 220 and the L-D relation


slide-1
SLIDE 1

Radio transients in the starburst galaxy Arp 220

Lund 2015-02-09 Eskil Varenius, John Conway, Ivan Martí-Vidal, Fabien Batejat, Miguel Perez-Torres et. al

Chalmers / Onsala Space Observatory

slide-2
SLIDE 2

Outline

  • Arp 220 and the L-D relation
  • Months: Rapidly variable sources?
  • Years: Supernovae
  • Decades: Supernova remnants
  • Summary
slide-3
SLIDE 3

The starburst galaxy Arp 220

26’’ (10kpc) HST Wilson et. al (2006)

Basic facts

  • Closest (77 Mpc) ULIRG (LFIR>1012L☉)
  • Merger with SFR ~ 100 M☉/yr
  • Expected radio supernova rate ~ 2 /yr

Big picture Study star formation (IMF, magnetic fields etc.) in extreme environments. Top transient science

  • Months: Variable sources

(AGN? Microquasars?)

  • Years: SNe

(interacting with CSM)

  • Decades: SNR

(interacting with ISM)

slide-4
SLIDE 4

Deepest image to date: Eastern nucleus

6cm global radio VLBI Resolution 0.001'', sensitivity 4 μJy beam-1 (Varenius et. al 2015, in prep.) 0.25'' 90pc

slide-5
SLIDE 5

Deepest image to date: Western nucleus

0.25'' 90pc 6cm global radio VLBI Resolution 0.001'', sensitivity 4 μJy beam-1 (Varenius et. al 2015, in prep.)

slide-6
SLIDE 6

20 years of monitoring!

  • Dozens of submas-resolution images
  • More than 50 sources detected
  • Lightcurves, spectra, source sizes...

Batejat et. al (2011)

slide-7
SLIDE 7

The luminosity-diameter relation

(Varenius et. al 2015, in prep.)

slide-8
SLIDE 8

L-D relation compared to M82 and LMC

Green: Theoretical relation

  • f S α D-9/4 for SNRs

in the Sedov phase (Berezhko&Völk 2004) Blue: Best fit of S α D-1.9

  • Fig. from Batejat et. al (2011)
slide-9
SLIDE 9

Months: Variable source (Batejat et. al 2012)

2008-06-10 2008-10-24 2009-02-27 2011-05-16 2014-08-01 2014-10-13

slide-10
SLIDE 10

Simulation of ring, PSF, noise

2008-06-10 2008-10-24 2009-02-27 2011-05-16 2014-08-01 2014-10-13

slide-11
SLIDE 11

The “variable” sources are large SNRs

Large SNRs ~ 150 yr old

slide-12
SLIDE 12

Years: New radio supernovae?

New SNe? SNR at their peak, age ~10 yr

slide-13
SLIDE 13

Chevalier, 2006, ApJ 641,1029

Years: New radio supernovae?

500 μJy detection limit for Arp220 (Parra et. al 2007)

Problem:

  • Should see only the

brightest radio SNe

  • Total SN-rate ~ 2/yr
  • Observed SN-rate ~ 2/yr

Observed rate is too high!

  • SNR/SNe confusion?
  • New data will help!
  • Big picture: variable IMF

in dense starburst (e.g. Chabrier et. al 2014)

slide-14
SLIDE 14

Decades: Supernova remnants

SNR at their peak, age ~10 yr Large SNRs ~ 150 yr old

slide-15
SLIDE 15

Decades: Supernova remnants

  • Given density nH~104cm-3, max radius ~0.35 pc, the

largest SNR is ~ 150 years old. (Draine&Woods 1991)

  • Assume all SNe produce radio SNRs.

Total SN-rate ~2/yr --> should see 300 SNRs.

  • We see only 50, i.e. total SN-rate of 0.3/yr.

Why so few? Big picture:

  • Large sample of SNRs for SNR physics
  • SNRs probe densities and magnetic fields of ISM
  • Origin of the FIR-Radio correlation
slide-16
SLIDE 16

SNR at their peak, age ~10 yr New SNe? Large SNRs ~ 150 yr old

?

Decades: Supernova remnants

slide-17
SLIDE 17

Summary

  • Months: “Variable” sources are likely large SNRs.
  • Years: We observe more SNe than expected.

Radio SNe probe stellar evolution through CSM.

  • Decades: We observe fewer SNRs than expected.

SNRs probe ISM, e.g. densities and B-fields.

  • Careful analysis of recent very deep images will

improve classification of weak SNe and SNRs.

  • SNe/SNRs in Arp 220 can help

understanding the physics of the FIR-Radio correlation in extreme environments.