The MOSDEF Survey: calibrating the relationship between H α star formation rate and radio continuum luminosity at 1.4 &amp;lt; <i>z</i> &amp;lt; 2.6

Duncan, K. J.; Shivaei, Irene; Shapley, Alice E.; Reddy, Naveen A.; Mobasher, Bahram; Coil, Alison L.; Kriek, Mariska; Siana, Brian

doi:10.1093/mnras/staa2561

Cited by 7 publications

(7 citation statements)

References 85 publications

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“…the utilization of utilizing shorter wavelength or combined SFR tracers when exploiting deep radio data (see e.g. Hodge et al 2008;Brown et al 2017;Davies et al 2017;Gürkan et al 2018;Read et al 2018;Duncan et al 2020) as opposed to IR measurements. Arguably, for such low-luminosity sources, the IR emission may not do very well at capturing the bulk of the SFR anyway since typically their SFR-budget is dominated by the unobscured component.…”

Section: The Effect Of Flux Limits On Irrc Statisticsmentioning

confidence: 99%

“…4.3), imply that SFR measurements from multi-wavelength photometry or nebular emission lines will play an important role for the calibration of radio SFRs in deep radio surveys with SKA and its precursors (see Hodge et al 2008;Davies et al 2017;Brown et al 2017;Gürkan et al 2018;Duncan et al 2020, for examples of such studies that have already pursued this approach using current radio data). Nevertheless, we still expect that there will continue to be applications where a purely IRRC-based calibration, and in particular a depth-matching approach as we discuss in this paper, remain useful.…”

Section: 4 Ghz Radio Emission As a Star-formation Rate Tracermentioning

confidence: 99%

“…22 or a similar formula (e.g. Davies et al 2017;Brown et al 2017;Gürkan et al 2018;Duncan et al 2020), until physically motivated models fitting observational data emerge.…”

Section: The Redshift Dependence Of the Infrared-radio Correlationmentioning

confidence: 99%

“…In order to better leverage the aforementioned strengths of radio continuum emission as an SF tracer, numerous studies in the past decade have sought to improve its accuracy by calibrating it against other, theoretically better-established SF tracers (e.g. Hodge et al 2008;Brown et al 2017;Davies et al 2017;Gürkan et al 2018;Read et al 2018;Duncan et al 2020), or examined the variation of the IRRC with other galaxy properties, such as stellar mass (e.g. Magnelli et al 2015;Delvecchio et al 2020) or galaxy type (Morić et al 2010;Roychowdhury & Chengalur 2012;Nyland et al 2017).…”

mentioning

confidence: 99%

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The non-linear infrared-radio correlation of low-z galaxies: implications for redshift evolution, a new radio SFR recipe, and how to minimize selection bias

Molnár

Sargent

Leslie

et al. 2021

Monthly Notices of the Royal Astronomical Society

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The infrared-radio correlation (IRRC) underpins many commonly used radio luminosity–star formation rate (SFR) calibrations. In preparation for the new generation of radio surveys we revisit the IRRC of low-z galaxies by (a) drawing on the best currently available IR and 1.4 GHz radio photometry, plus ancillary data over the widest possible area, and (b) carefully assessing potential systematics. We compile a catalogue of ∼9,500 z < 0.2 galaxies and derive their 1.4 GHz radio (L1.4), total IR, and monochromatic IR luminosities in up to seven bands, allowing us to parameterize the wavelength-dependence of monochromatic IRRCs from 22–500 μm. For the first time for low-z samples, we quantify how poorly matched IR and radio survey depths bias measured median IR/radio ratios, $\overline{q}_{\mathrm{TIR}}$, and discuss the level of biasing expected for low-z IRRC studies in ASKAP/MeerKAT fields. For our subset of ∼2,000 high-confidence star-forming galaxies we find a median $\overline{q}_{\mathrm{TIR}}$ of 2.54 (scatter: 0.17 dex). We show that $\overline{q}_{\mathrm{TIR}}$ correlates with L1.4, implying a non-linear IRRC with slope 1.11±0.01. Our new L1.4–SFR calibration, which incorporates this non-linearity, reproduces SFRs from panchromatic SED fits substantially better than previous IRRC-based recipes. Finally, we match the evolutionary slope of recently measured $\overline{q}_{\mathrm{TIR}}$–redshift trends without having to invoke redshift evolution of the IRRC. In this framework, the redshift evolution of $\overline{q}_{\mathrm{TIR}}$ reported at GHz frequencies in the literature is the consequence of a partial, redshift-dependent sampling of a non-linear IRRC obeyed by low-z and distant galaxies.

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Section: The Effect Of Flux Limits On Irrc Statisticsmentioning

confidence: 99%

Section: 4 Ghz Radio Emission As a Star-formation Rate Tracermentioning

confidence: 99%

“…22 or a similar formula (e.g. Davies et al 2017;Brown et al 2017;Gürkan et al 2018;Duncan et al 2020), until physically motivated models fitting observational data emerge.…”

Section: The Redshift Dependence Of the Infrared-radio Correlationmentioning

confidence: 99%

mentioning

confidence: 99%

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The non-linear infrared-radio correlation of low-z galaxies: implications for redshift evolution, a new radio SFR recipe, and how to minimize selection bias

Molnár

Sargent

Leslie

et al. 2021

Monthly Notices of the Royal Astronomical Society

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“…From an observational perspective, significant effort has been undertaken to assess whether the FIRRC evolves throughout cosmic time. While a number of studies find no evidence for such evolution (e.g., Ivison et al 2010b;Sargent et al 2010;Mao et al 2011;Duncan et al 2020), some studies suggest redshift evolution in the FIRRC in the opposite sense to what is expected theoretically (Ivison et al 2010a;Thomson et al 2014;Magnelli et al 2015;Delhaize et al 2017;Calistro Rivera et al 2017;Ocran et al 2020), seemingly implying that high-redshift (z1) star-forming galaxies have increased radio emission (or, alternatively, decreased FIR emission) compared to their local counterparts.…”

Section: Introductionmentioning

confidence: 95%

An ALMA Survey of the SCUBA-2 Cosmology Legacy Survey UKIDSS/UDS Field: The Far-infrared/Radio Correlation for High-redshift Dusty Star-forming Galaxies

Algera

Smail

Dudzevičiūtė

et al. 2020

ApJ

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We study the radio properties of 706 submillimeter galaxies (SMGs) selected at 870 μm with the Atacama Large Millimeter Array from the SCUBA-2 Cosmology Legacy Survey map of the Ultra Deep Survey field. We detect 273 SMGs at >4σ in deep Karl G. Jansky Very Large Array 1.4 GHz observations, of which a subset of 45 SMGs are additionally detected in 610 MHz Giant Metre-Wave Radio Telescope imaging. We quantify the far-infrared/ radio correlation (FIRRC) through parameter q IR , defined as the logarithmic ratio of the far-infrared and radio luminosity, and include the radio-undetected SMGs through a stacking analysis. We determine a median q IR =2.20±0.03 for the full sample, independent of redshift, which places these z∼2.5 dusty star-forming galaxies 0.44±0.04 dex below the local correlation for both normal star-forming galaxies and local ultraluminous infrared galaxies (ULIRGs). Both the lack of redshift evolution and the offset from the local correlation are likely the result of the different physical conditions in high-redshift starburst galaxies, compared to local starforming sources. We explain the offset through a combination of strong magnetic fields (B0.2 mG), high interstellar medium (ISM) densities and additional radio emission generated by secondary cosmic rays. While local ULIRGs are likely to have similar magnetic field strengths, we find that their compactness, in combination with a higher ISM density compared to SMGs, naturally explains why local and high-redshift dusty star-forming galaxies follow a different FIRRC. Overall, our findings paint SMGs as a homogeneous population of galaxies, as illustrated by their tight and nonevolving far-infrared/radio correlation.

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LOFAR properties of SILVERRUSH Lyαemitter candidates in the ELAIS-N1 field

Gloudemans

Duncan²,

Kondapally³

et al. 2021

A&A

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Lyman alpha emitters (LAEs) in the Epoch of Reionization (EoR) offer valuable probes of both early galaxy evolution and the process of reionization itself; however, the exact evolution of their abundance and the nature of their emission remain open questions. We combine samples of 229 and 349 LAE candidates at z = 5.7 and z = 6.6, respectively, from the SILVERRUSH narrowband survey with deep Low Frequency Array (LOFAR) radio continuum observations in the European Large Area Infrared Space Observatory Survey-North 1 (ELAIS-N1) field to search for radio galaxies in the EoR and study the low-frequency radio properties of z ≳ 5.7 LAE emitters. Our LOFAR observations reach an unprecedented noise level of ~20 μJy beam−1 at 150 MHz, and we detect five candidate LAEs at >5σ significance. Based on detailed spectral energy distribution modelling of independent multi-wavelength observations in the field, we conclude that these sources are likely [OII] emitters at z = 1.47, yielding no reliable z ≳ 5.7 radio galaxy candidates. We examine the 111 z = 5.7 and z = 6.6 LAE candidates from our panchromatic photometry catalogue that are undetected by LOFAR, finding contamination rates of 81–92% for the z = 5.7 and z = 6.6 subset of the LAE candidate samples. This subset of the full sample is biased towards brighter magnitudes and redder near-infrared colours. The contamination rates of the full sample will therefore likely be lower than the reported values. Contamination of these optically bright LAE samples by likely [OII] emitters is lowered significantly through constraints on the near-infrared colours, highlighting the need for infrared observations to robustly identify bright LAEs in narrowband surveys. Finally, the stacking of radio continuum observations for the robust LAE samples yields 2σ upper limits on radio luminosity of 8.2 × 1023 and 8.7 × 1023 W Hz−1 at z = 5.7 and 6.6, respectively, corresponding to limits on their median star-formation rates of <53 and <56 M⊙ yr−1.

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The MOSDEF Survey: calibrating the relationship between H α star formation rate and radio continuum luminosity at 1.4 < z < 2.6

Cited by 7 publications

References 85 publications

The non-linear infrared-radio correlation of low-z galaxies: implications for redshift evolution, a new radio SFR recipe, and how to minimize selection bias

The non-linear infrared-radio correlation of low-z galaxies: implications for redshift evolution, a new radio SFR recipe, and how to minimize selection bias

An ALMA Survey of the SCUBA-2 Cosmology Legacy Survey UKIDSS/UDS Field: The Far-infrared/Radio Correlation for High-redshift Dusty Star-forming Galaxies

LOFAR properties of SILVERRUSH Lyαemitter candidates in the ELAIS-N1 field

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The MOSDEF Survey: calibrating the relationship between H α star formation rate and radio continuum luminosity at 1.4 &lt; z &lt; 2.6

Cited by 7 publications

References 85 publications

The non-linear infrared-radio correlation of low-z galaxies: implications for redshift evolution, a new radio SFR recipe, and how to minimize selection bias

The non-linear infrared-radio correlation of low-z galaxies: implications for redshift evolution, a new radio SFR recipe, and how to minimize selection bias

An ALMA Survey of the SCUBA-2 Cosmology Legacy Survey UKIDSS/UDS Field: The Far-infrared/Radio Correlation for High-redshift Dusty Star-forming Galaxies

LOFAR properties of SILVERRUSH Lyαemitter candidates in the ELAIS-N1 field

Contact Info

Product

Resources

About

The MOSDEF Survey: calibrating the relationship between H α star formation rate and radio continuum luminosity at 1.4 < z < 2.6