論文の公開元へ

書き出し

Refer/BibIX

RIS

BibTeX

TSV

Accurate dust temperature determination in a z = 7.13 galaxy

Bakx, Tom J L C Sommovigo, Laura Carniani, Stefano Ferrara, Andrea Akins, Hollis B Fujimoto, Seiji Hagimoto, Masato Knudsen, Kirsten K Pallottini, Andrea Tamura, Yoichi Watson, Darach 名古屋大学

2021.11

概要

We report ALMA Band 9 continuum observations of the normal, dusty star-forming galaxy A1689-zD1 at z = 7.13, resulting in a ∼4.6 σ detection at 702 GHz. For the first time, these observations probe the far-infrared spectrum shortward of the emission peak of a galaxy in the Epoch of Reionization (EoR). Together with ancillary data from earlier works, we derive the dust temperature, Td, and mass, Md, of A1689-zD1 using both traditional modified blackbody spectral energy density fitting, and a new method that relies only on the [C ii] 158 μm line and underlying continuum data. The two methods give Td=(42^+13−7,40^+13−7⁠) K, and Md=(1.7^+1.3−0.7,2.0^+1.8−1.0)×10^7M⊙⁠. Band 9 observations improve the accuracy of the dust temperature (mass) estimate by ∼50 per cent (6 times). The derived temperatures confirm the reported increasing Td-redshift trend between z = 0 and 8; the dust mass is consistent with a supernova origin. Although A1689-zD1 is a normal UV-selected galaxy, our results, implying that ∼85 per cent of its star-formation rate is obscured, underline the non-negligible effects of dust in EoR galaxies.

論文の公開元へ

この論文で使われている画像

参考文献

Alcalde Pampliega B. et al., 2019, ApJ, 876, 135 Algera H. S. B. et al., 2020, ApJ, 903, 139

Bakx T. J. L. C. et al., 2020, MNRAS, 493, 4294

Barisic I. et al., 2017, ApJ, 845, 41

Baryshev A. M. et al., 2015, A&A, 577, A129

Behrens C., Pallottini A., Ferrara A., Gallerani S., Vallini L., 2018, MNRAS, 477, 552

Be´thermin M. et al., 2020, A&A, 643, A2

Boquien M., Burgarella D., Roehlly Y., Buat V., Ciesla L., Corre D., Inoue A. K., Salas H., 2019, A&A, 622, A103

Bouwens R. J. et al., 2016, ApJ, 833, 72

Bouwens R. et al., 2020, ApJ, 902, 112

Bouwens R. J. et al., 2021, preprint (arXiv:2106.13719) Bradley L. D. et al., 2008, ApJ, 678, 647

Capak P. L. et al., 2015, Nature, 522, 455 Carniani S. et al., 2017, A&A, 605, A42 Carniani S. et al., 2018, MNRAS, 478, 1170

Carniani S. et al., 2020, MNRAS, 499, 5136

Casey C. M., 2012, MNRAS, 425, 3094

Casey C. M. et al., 2018, ApJ, 862, 77

Cochrane R. K. et al., 2019, MNRAS, 488, 1779

da Cunha E., Charlot S., Elbaz D., 2008, MNRAS, 388, 1595 da Cunha E. et al., 2013, ApJ, 766, 13

De Looze I. et al., 2014, A&A, 568, A62 Draine B., 2003, ARA&A, 41, 241

Draine B. T., Li A., 2007, ApJ, 657, 810

Faisst A. L. et al., 2017, ApJ, 847, 21

Faisst A. L., Fudamoto Y., Oesch P. A., Scoville N., Riechers D. A., Pavesi R., Capak P., 2020, MNRAS, 498, 4192

Finkelstein S. L. et al., 2015, ApJ, 810, 71 Franco M. et al., 2018, A&A, 620, A152 Fudamoto Y. et al., 2020, A&A, 643, A4 Fujimoto S. et al., 2019, ApJ, 887, 107

Fujimoto S. et al., 2020, ApJ, 900, 1

Fujimoto S. et al., 2021, ApJ, 911, 99

Galliano F., Dwek E., Chanial P., 2008, ApJ, 672, 214 Ginolfi M. et al., 2020, A&A, 633, A90

Gruppioni C. et al., 2020, A&A, 643, A8 Harikane Y. et al., 2020, ApJ, 896, 93

Hashimoto T. et al., 2019, PASJ, 71, 71

Hatsukade B. et al., 2018, PASJ, 70, 105 Herrera-Camus R. et al., 2021, A&A, 649, A31

Inoue A. K., Hashimoto T., Chihara H., Koike C., 2020, MNRAS, 495, 1577

James A., Dunne L., Eales S., Edmunds M. G., 2002, MNRAS, 335, 753 Kennicutt R. C., Jr, 1998, ApJ, 498, 541 (KS)

Khusanova Y. et al., 2021, A&A, 649, A152

Knudsen K. K., Watson D., Frayer D., Christensen L., Gallazzi A., Michałowski M. J., Richard J., Zavala J., 2017, MNRAS, 466, 138

Laporte N. et al., 2017, ApJ, 837, L21 Laporte N. et al., 2019, MNRAS, 487, L81 Lau R. M. et al., 2021, ApJ, 909, 113

Le Fe`vre O. et al., 2020, A&A, 643, A1 Leroy A. K. et al., 2011, ApJ, 737, 12

Les´niewska A., Michałowski M. J., 2019, A&A, 624, L13 Liang L. et al., 2019, MNRAS, 489, 1397

McMullin J. P., Waters B., Schiebel D., Young W., Golap K., 2007, in Shaw R. A., Hill F., Bell D. J., eds, ASP Conf. Ser. Vol. 376, Astronomical Data Analysis Software and Systems XVI. Astron. Soc. Pac., San Francisco, p. 127

Madau P., Dickinson M., 2014, ARA&A, 52, 415

Mancini M., Schneider R., Graziani L., Valiante R., Dayal P., Maio U., Ciardi B., Hunt L. K., 2015, MNRAS, 451, L70

Mart´ınez-Gonza´lez S., Silich S., Tenorio-Tagle G., 2021, MNRAS, 507, 1175 Matsuura M. et al., 2015, ApJ, 800, 50

Matsuura M. et al., 2019, MNRAS, 482, 1715

Matthee J. et al., 2017, ApJ, 851, 145

Matthee J. et al., 2019, ApJ, 881, 124

Mawatari K. et al., 2020, ApJ, 889, 137

Meixner M. et al., 2019, preprint (arXiv:1912.06213) Michałowski M. J., 2015, A&A, 577, A80

Novak M. et al., 2017, A&A, 602, A5 Ono Y. et al., 2018, PASJ, 70, S10

Planck Collaboration XIII, 2016, A&A, 594, A13

Roberts-Borsani G. W., Ellis R. S., Laporte N., 2020, MNRAS, 497, 3440 Romano M. et al., 2020, MNRAS, 496, 875

Schouws S. et al., 2021, preprint (arXiv:2105.12133)

Schreiber C., Elbaz D., Pannella M., Ciesla L., Wang T., Franco M., 2018, A&A, 609, A30

Shibuya T., Miura N., Iwadate K., Fujimoto S., Harikane Y., Toba Y., Umayahara T., Ito Y., 2021, preprint (arXiv:2106.03728)

Simpson J. M. et al., 2014, ApJ, 788, 125

Slavin J. D., Dwek E., Mac Low M.-M., Hill A. S., 2020, ApJ, 902, 135 Smail I. et al., 2021, MNRAS, 502, 3426

Sommovigo L., Ferrara A., Pallottini A., Carniani S., Gallerani S., Decataldo D., 2020, MNRAS, 497, 956

Sommovigo L., Ferrara A., Carniani S., Zanella A., Pallottini A., Gallerani S., Vallini L., 2021, MNRAS, 503, 4878

Struble M. F., Rood H. J., 1999, ApJS, 125, 35

Sugahara Y. et al., 2021, preprint (arXiv:2104.02201)

Talia M., Cimatti A., Giulietti M., Zamorani G., Bethermin M., Faisst A., Le Fe`vre O., Smolc¸ic´ V., 2021, ApJ, 909, 23

Tamura Y. et al., 2019, ApJ, 874, 27

Toba Y. et al., 2020, ApJ, 899, 35

Umehata H. et al., 2020, A&A, 640, L8

Vallini L., Ferrara A., Pallottini A., Carniani S., Gallerani S., 2021, MNRAS, 505, 5543

Vijayan A. P. et al., 2021, preprint (arXiv:2108.00830) Wang T. et al., 2019, Nature, 572, 211

Watson D., Christensen L., Knudsen K. K., Richard J., Gallazzi A., Michałowski M. J., 2015, Nature, 519, 327

Williams C. C. et al., 2019, ApJ, 884, 154

Willott C. J., Carilli C. L., Wagg J., Wang R., 2015, ApJ, 807, 180 Yamaguchi Y. et al., 2019, ApJ, 878, 73

Zavala J. A. et al., 2021, ApJ, 909, 165 Zhou L. et al., 2020, A&A, 642, A155

参考文献をもっと見る

分野

大学

学位論文種類・取得年

言語

Accurate dust temperature determination in a z = 7.13 galaxy

概要

この論文で使われている画像

関連論文

Radiative properties of the first galaxies: rapid transition between UV and infrared bright phases

ALMA uncovers the [C ii] emission and warm dust continuum in a z = 8.31 Lyman break galaxy

Deeply cooled core of the Phoenix galaxy cluster imaged by ALMA with the Sunyaev–Zel’dovich effect

FOREVER22: the first bright galaxies with Population III stars at redshifts z ≃ 10-20 and comparisons with JWST data

First Constraints on Growth Rate from Redshift-space Ellipticity Correlations of SDSS Galaxies at 0.16 < z < 0.70

参考文献

分野

大学

学位論文種類・取得年

言語

コピーが完了しました

URLをコピーしました

Accurate dust temperature determination in a z = 7.13 galaxy

概要

この論文で使われている画像

関連論文

Radiative properties of the first galaxies: rapid transition between UV and infrared bright phases

ALMA uncovers the [C ii] emission and warm dust continuum in a z = 8.31 Lyman break galaxy

Deeply cooled core of the Phoenix galaxy cluster imaged by ALMA with the Sunyaev–Zel’dovich effect

FOREVER22: the first bright galaxies with Population III stars at redshifts z ≃ 10-20 and comparisons with JWST data

First Constraints on Growth Rate from Redshift-space Ellipticity Correlations of SDSS Galaxies at 0.16 < z < 0.70

参考文献