Issue |
A&A
Volume 622, February 2019
LOFAR Surveys: a new window on the Universe
|
|
---|---|---|
Article Number | A8 | |
Number of page(s) | 23 | |
Section | Extragalactic astronomy | |
DOI | https://doi.org/10.1051/0004-6361/201833905 | |
Published online | 19 February 2019 |
Calibrating the relation of low-frequency radio continuum to star formation rate at 1 kpc scale with LOFAR⋆
1
University of Hamburg, Hamburger Sternwarte, Gojenbergsweg 112, 21029
Hamburg, Germany
e-mail: volker.heesen@hs.uni-hamburg.de
2
School of Earth and Space Exploration, Arizona State University, PO Box 871404
Tempe, AZ, 85287-1404
USA
3
Fakultät für Physik, Universität Bielefeld, Postfach 100131
33501
Bielefeld, Germany
4
Max-Planck-Institute für Radioastronomie, Auf dem Hügel 69, 53121
Bonn, Germany
5
School of Physics, Astronomy and Mathematics, University of Hertfordshire, Hatfield, AL10 9AB
UK
6
Chalmers University of Technology, Dept. of Space, Earth and Environment, Onsala Space Observatory, 439 92
Onsala, Sweden
7
Astronomisches Institut der Ruhr-Universität Bochum, 44780
Bochum, Germany
8
Astronomical Observatory, Jagiellonian University, ul. Orla 171, 30-244
Kraków, Poland
9
SUPA, Institute for Astronomy, Royal Observatory, Blackford Hill, Edinburgh, EH9 3HJ
UK
10
CSIRO Astronomy and Space Science, PO Box 1130
Bentley, WA, 6102
Australia
11
INAF/Istituto di Radioastronomia, via Gobetti 101, 40129
Bologna, Italy
Received:
19
July
2018
Accepted:
15
October
2018
Context. Radio continuum (RC) emission in galaxies allows us to measure star formation rates (SFRs) unaffected by extinction due to dust, of which the low-frequency part is uncontaminated from thermal (free–free) emission.
Aims. We calibrate the conversion from the spatially resolved 140 MHz RC emission to the SFR surface density (ΣSFR) at 1 kpc scale. Radio spectral indices give us, by means of spectral ageing, a handle on the transport of cosmic rays using the electrons as a proxy for GeV nuclei.
Methods. We used recent observations of three galaxies (NGC 3184, 4736, and 5055) from the LOFAR Two-metre Sky Survey (LoTSS), and archival LOw-Frequency ARray (LOFAR) data of NGC 5194. Maps were created with the facet calibration technique and converted to radio ΣSFR maps using the Condon relation. We compared these maps with hybrid ΣSFR maps from a combination of GALEX far-ultraviolet and Spitzer 24 μm data using plots tracing the relation at the highest angular resolution allowed by our data at 1.2 × 1.2 kpc2 resolution.
Results. The RC emission is smoothed with respect to the hybrid ΣSFR owing to the transport of cosmic-ray electrons (CREs) away from star formation sites. This results in a sublinear relation (ΣSFR)RC ∝ [(ΣSFR)hyb]a, where a = 0.59 ± 0.13 (140 MHz) and a = 0.75 ± 0.10 (1365 MHz). Both relations have a scatter of σ = 0.3 dex. If we restrict ourselves to areas of young CREs (α > −0.65; Iν ∝ να), the relation becomes almost linear at both frequencies with a ≈ 0.9 and a reduced scatter of σ = 0.2 dex. We then simulate the effect of CRE transport by convolving the hybrid ΣSFR maps with a Gaussian kernel until the RC–SFR relation is linearised; CRE transport lengths are l = 1–5 kpc. Solving the CRE diffusion equation, assuming dominance of the synchrotron and inverse-Compton losses, we find diffusion coefficients of D = (0.13–1.5) × 1028 cm2 s−1 at 1 GeV.
Conclusions. A RC–SFR relation at 1.4 GHz can be exploited to measure SFRs at redshift z ≈ 10 using 140 MHz observations.
Key words: radiation mechanisms: non-thermal / cosmic rays / galaxies: magnetic fields / galaxies: star formation / radio continuum: galaxies
Radio continuum flux densities and fits files are only available at the CDS via anonymous ftp to cdsarc.u-strasbg.fr (130.79.128.5) or via http://cdsarc.u-strasbg.fr/viz-bin/qcat?J/A+A/622/A8
© ESO 2019
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.