JINGLE, a JCMT legacy survey of dust and gas for galaxy evolution studies – I. Survey overview and first results

Saintonge, A.; Wilson, C. D.; Xiao, Ting; Lin, Lihwai; Hwang, Ho Seong; Tosaki, Tomoka; Bureau, Martin; Cigan, Phil; Clark, Christopher; Clements, D. L.; Looze, I. De; Dharmawardena, T. E.; Yang, Guangwen; Gear, Walter Kieran; Greenslade, J.; Lamperti, Isabella; Lee, Jong Chul; Li, Cheng; Michałowski, M. J.; Mok, Angus; Pan, Hsi-An; Sansom, A. E.; Sargent, M.; Smith, Matthew W.; Williams, Thomas G.; Yang, C.; Zhu, Meiping; Accurso, Gioacchino; Barmby, P.; Brinks, E.; Bourne, N.; Brown, Toby; Chung, A.; Chung, Eun Jung; Cibinel, A.; Coppin, K. E. K.; Davies, Jonathan Ivor; Davis, Timothy A.; Eales, Steve; Fanciullo, Lapo; Fang, Taotao; Gao, Yu; Glass, David W H; Gomez, Haley Louise; Greve, T. R.; He, Jianhua; Ho, Luis C.; Huang, Feng; Jeong, Hyunjin; Jiang, Xue-Jian; Jiao, Qian; Kemper, F.; Kim, Jo Hoon; Kim, Minjin; Kim, Tae Hyun; Ko, Jongwan; Kong, Xu; Lacaille, Kevin; Lacey, Cedric G.; Lee, Bumhyun; Lee, Joon Hyeop; Lee, Wing-Kit; Masters, Karen L.; Oh, Se Heon; Papadopoulos, Panagiotis; Park, Changbom; Park, Sung‐Joon; Parsons, Harriet; Rowlands, Kate; Scicluna, Peter; Scudder, Jillian M.; Sethuram, Ramya; Serjeant, S.; Shao, Yali; Sheen, Yun-Kyeong; Shi, Yong; Shim, Hyunjin; Smith, C.; Spekkens, Kristine; Tsai, An-Li; Verma, Aprajita; Urquhart, S.; Violino, Giulio; Viti, S.; Wake, David A.; Wang, Junfeng; Wouterloot, J. G. A.; Yang, Yujin; Yim, Kijeong; Yuan, Fang-Ting; Zhang, Zheng

doi:10.1093/mnras/sty2499

Cited by 40 publications

(45 citation statements)

References 107 publications

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“…We note that this is a pure luminosity relation that does not imply any assumption on the α CO factor. Similar trends between (both monochromatic and integrated) FIR and CO luminosity are often found in the literature, showing that they are either nonlinear (e.g., Saintonge et al 2018) or even point to different relations for SFGs and ULIRGs/SMGs (Daddi et al 2010;Genzel et al 2010; see also Carilli & Walter 2013). These results suggest that assuming a single constant L CO /L FIR ratio might be too simplistic.…”

Section: Gas Masssupporting

confidence: 79%

Dust and gas content of high-redshift galaxies hosting obscured AGN in the Chandra Deep Field-South

D’Amato

Gilli²,

Vignali³

et al. 2020

A&A

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Context. Obscured active galactic nuclei (AGN) represent a significant fraction of the entire AGN population, especially at high redshift (∼70% at z=3-5). They are often characterized by the presence of large gas and dust reservoirs that are thought to sustain and possibly obscure vigorous star formation processes that make these objects shine at far-IR and submillimeter wavelengths. Studying the physical properties of obscured AGN and their host galaxies is crucial to shedding light on the early stages of a massive system lifetime. Aims. We aim to investigate the contribution of the interstellar medium (ISM) to the obscuration of quasars in a sample of distant highly star forming galaxies and to unveil their morphological and kinematics properties. Methods. We exploit Atacama Large Millimeter/submillimeter Array (ALMA) Cycle 4 observations of the continuum (∼2.1mm) and high-J CO emission of a sample of six X-ray selected, far-IR detected galaxies hosting an obscured AGN at z spec > 2.5 in the 7 Ms Chandra Deep Field-South (CDF-S). We measured the masses and sizes of the dust and molecular gas by fitting the images, visibilities, and spectra, and we derived the gas density and column density on the basis of a uniform sphere geometry. Finally, we compared the measured column densities with those derived from the Chandra X-ray spectra. Results. We detected both the continuum and line emission for three sources for which we measured both the flux density and size. For the undetected sources, we derived an upper limit on the flux density from the root mean square (rms) of the images. We found that the detected galaxies are rich in gas and dust (molecular gas mass in the range <0.5 -2.7 × 10 10 M for α CO = 0.8 and up to ∼ 2 × 10 11 M for α CO = 6.5, and dust mass <0.9 -4.9 × 10 8 M ) and generally compact (gas major axis 2.1-3.0 kpc, dust major axis 1.4-2.7 kpc). The column densities associated with the ISM are on the order of 10 23−24 cm −2 , which is comparable with those derived from the X-ray spectra. For the detected sources we also derived dynamical masses in the range 0.8 -3.7 × 10 10 M . Conclusions. We conclude that the ISM of high redshift galaxies can substantially contribute to nuclear obscuration up to the Compton-thick (> 10 24 cm −2 ) regime. In addition, we found that all the detected sources show a velocity gradient reminding one rotating system, even though two of them show peculiar features in their morphology that can be associated with a chaotic, possibly merging, structure.

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Section: Gas Masssupporting

confidence: 79%

Dust and gas content of high-redshift galaxies hosting obscured AGN in the Chandra Deep Field-South

D’Amato

Gilli²,

Vignali³

et al. 2020

A&A

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“…The systematic offsets are about 0.15-0.25 dex, but are comparable to the scatter of the data. Considering the relatively better agreement of the "α 850,H17 " method to other methods as well as recent observations (Bertemes et al 2018;Saintonge et al 2018), we choose the "α 850,H17 " method as our final gas mass calculation for the A 3 COSMOS galaxies. We also tested our full analysis with other gas mass 1 1 1 11 Fig.…”

Section: Comparing Gas Mass Calibrationsmentioning

confidence: 99%

Automated Mining of the ALMA Archive in the COSMOS Field (A³COSMOS). II. Cold Molecular Gas Evolution out to Redshift 6

Liu

Schinnerer

Groves

et al. 2019

ApJ

Self Cite

141

187

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We present new measurements of the cosmic cold molecular gas evolution out to redshift 6 based on systematic mining of the ALMA public archive in the COSMOS deep field (A 3 COSMOS). Our A 3 COSMOS dataset contains ∼ 700 galaxies (0.3 z 6) with high-confidence ALMA detections in the (sub-)millimeter continuum and multi-wavelength spectral energy distributions (SEDs). Multiple gas mass calibration methods are compared and biases in band conversions (from observed ALMA wavelength to rest-frame Rayleigh-Jeans(RJ)-tail continuum) have been tested. Combining our A 3 COSMOS sample with ∼ 1, 000 CO-observed galaxies at 0 z 4 (75% at z < 0.1), we parameterize galaxies' molecular gas depletion time (τ depl ) and molecular gas to stellar mass ratio (µ molgas ) each as a function of the stellar mass (M ), offset from the star-forming main sequence (∆MS) and cosmic age (or redshift). Our proposed functional form provides a statistically better fit to current data (than functional forms in the literature), and implies a "downsizing" effect (i.e., more-massive galaxies evolve earlier than less-massive ones) and "mass-quenching" (gas consumption slows down with cosmic time for massive galaxies but speeds up for low-mass ones). Adopting galaxy stellar mass functions and applying our µ molgas function for gas mass calculation, we for the first time infer the cosmic cold molecular gas density evolution out to redshift 6 and find agreement with CO blind surveys as well as semi-analytic modeling. These together provide a coherent picture of cold molecular gas, SFR and stellar mass evolution in galaxies across cosmic time.

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“…Due to these requirements, they are mainly main-sequence star-forming galaxies with −1.5 < log SFR/[M yr −1 ] < 1.5 (see Figure 1). A detailed description of the selection criteria is provided in Saintonge et al (2018). Most of the JINGLE objects are late-type galaxies, with only seven classified as early-type galaxies (Saintonge et al 2018).…”

Section: Jingle Samplementioning

confidence: 99%

“…The JINGLE (JCMT dust and gas In Nearby Galaxies Legacy Exploration), survey is a large program on the James Clerk Maxwell Telescope (JCMT) which aims to characterize the dust and molecular gas in nearby galaxies and study the relation between the two (Saintonge et al 2018). JIN-GLE combines dust observations from the SCUBA-2 camera on the JCMT (and from Herschel ), with the cold gas measurements obtained with the JCMT RxA instrument.…”

Section: Introductionmentioning

confidence: 99%

JINGLE V: Dust properties of nearby galaxies derived from hierarchical Bayesian SED fitting

Lamperti

Saintonge

Accurso

et al. 2019

Monthly Notices of the Royal Astronomical Society

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We study the dust properties of 192 nearby galaxies from the JINGLE survey using photometric data in the 22-850µm range. We derive the total dust mass, temperature T and emissivity index β of the galaxies through the fitting of their spectral energy distribution (SED) using a single modified black-body model (SMBB). We apply a hierarchical Bayesian approach that reduces the known degeneracy between T and β. Applying the hierarchical approach, the strength of the T-β anti-correlation is reduced from a Pearson correlation coefficient R = −0.79 to R = −0.52. For the JINGLE galaxies we measure dust temperatures in the range 17 − 30 K and dust emissivity indices β in the range 0.6 − 2.2. We compare the SMBB model with the broken emissivity modified black-body (BMBB) and the two modified black-bodies (TMBB) models. The results derived with the SMBB and TMBB are in good agreement, thus applying the SMBB, which comes with fewer free parameters, does not penalize the measurement of the cold dust properties in the JINGLE sample. We investigate the relation between T and β and other global galaxy properties in the JINGLE and Herschel Reference Survey (HRS) sample. We find that β correlates with the stellar mass surface density (R = 0.62) and anti-correlates with the HI mass fraction (M H I /M * , R = −0.65), whereas the dust temperature correlates strongly with the SFR normalized by the dust mass (R = 0.73). These relations can be used to estimate T and β in galaxies with insufficient photometric data available to measure them directly through SED fitting.

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JINGLE, a JCMT legacy survey of dust and gas for galaxy evolution studies – I. Survey overview and first results

Cited by 40 publications

References 107 publications

Dust and gas content of high-redshift galaxies hosting obscured AGN in the Chandra Deep Field-South

Dust and gas content of high-redshift galaxies hosting obscured AGN in the Chandra Deep Field-South

Automated Mining of the ALMA Archive in the COSMOS Field (A³COSMOS). II. Cold Molecular Gas Evolution out to Redshift 6

JINGLE V: Dust properties of nearby galaxies derived from hierarchical Bayesian SED fitting

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JINGLE, a JCMT legacy survey of dust and gas for galaxy evolution studies – I. Survey overview and first results

Cited by 40 publications

References 107 publications

Dust and gas content of high-redshift galaxies hosting obscured AGN in the Chandra Deep Field-South

Dust and gas content of high-redshift galaxies hosting obscured AGN in the Chandra Deep Field-South

Automated Mining of the ALMA Archive in the COSMOS Field (A3COSMOS). II. Cold Molecular Gas Evolution out to Redshift 6

JINGLE V: Dust properties of nearby galaxies derived from hierarchical Bayesian SED fitting

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Product

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Automated Mining of the ALMA Archive in the COSMOS Field (A³COSMOS). II. Cold Molecular Gas Evolution out to Redshift 6