Multiwavelength properties of the low-redshift isolated galaxies with active nuclei modelled with CIGALE
Рубрика:
| 1Kompaniiets, OV 1Main Astronomical Observatory of the National Academy of Sciences of Ukraine, Kyiv, Ukraine |
| Space Sci. & Technol. 2023, 29 ;(5):088-098 |
| https://doi.org/10.15407/knit2023.05.088 |
| Язык публикации: English |
Аннотация: Using the CIGALE software, we present the preliminary results of a multiwavelength analysis of eighteen low-redshift isolated galaxies with active nuclei (isolated AGNs). This ample was formed by cross-matching the 2MIG isolated AGNs sample with the SDSS DR9 catalog. The host galaxies of this sample have not undergone a merger for at least three billion years, making them a unique laboratory for studying interactions between various astrophysical processes without the complicating factors of merging with other galaxies or the effects of a denser environment. In addition, the study of isolated AGNs can provide valuable information about the evolution and activity of galaxies in the broader context of the distribution of large-scale structures of the Universe. First, we seek to understand how the environment affects the physical processes involved in the accretion of matter onto supermassive black holes in these galaxies. Secondly, to what extent do processes of star formation or degeneration of nuclei activity continue the evolution of these galaxies? Third, how does the localization of isolated AGNs in voids or filaments of a large-scale structure determine the properties of this environment at the low redshifts?
Using observable fluxes from UV to the radio ranges from archival databases of space-born and ground-based observatories (GALEX, SDSS, 2MASS, Spitzer, Hershel, IRAS, WISE, VLA), we estimated the contribution from the emission of an active nucleus to the galaxy's total emission, the stellar mass, and the star formation rate. The mass of the stellar component falls from 1010 MSun and 1011 MSun. The star formation rate for most galaxies (except UGC 10120) does not exceed 3 MSun per year. The best SED fittings (with χ2 values less than 5) are obtained for the galaxies CGCG248-019 (χ2=1.6), CGCG179-005 (χ2=1.6), CGCG243-024 (χ2=2.6), IC0009 (χ2=2.8), MCG+09-25-022 (χ2=3.1), UGC10244 (χ2=4.1).
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| Ключевые слова: active galaxy nuclei, galaxies, isolated galaxies, star-formation rate, stellar mass |
References:
1. Babyk I., Vavilova I., The distant galaxy cluster XLSSJ022403.9-041328 on the L X - T X - M scaling relations using Chandra and XMM- Newton observations. Astrophysics and Space Science, Volume 353, Issue 2, pp.613-619 (2014)
https://doi.org/10.1007/s10509-014-2057-x
2. Bitsakis T., Dultzin D., Ciesla L et al. Studying the evolution of galaxies in compact groups over the past 3 Gyr - II. The importance of environment in the suppression of star formation. Mon. Not. R. Astron. Soc., 459, 1, p.957-970 (2016).
https://doi.org/10.1093/mnras/stw686
3. Boquien M. , Burgarella D. , Roehlly Y. et al. CIGALE: a Python Code Investigating GALaxy Emission. Astronomy & Astrophysics, Volume 622, id.A103, 33 pp. (2019)
https://doi.org/10.1051/0004-6361/201834156
4. Bruzual G., Charlot S. Stellar population synthesis at the resolution of 2003. Monthly Notices of the Royal Astronomical Society, Volume 344, Issue 4, pp. 1000-1028 (2003)
https://doi.org/10.1046/j.1365-8711.2003.06897.x
5. Calzetti D., Armus L., Bohlin R. C., et al. The Dust Content and Opacity of Actively Star-forming Galaxies. The Astrophysical Journal, Volume 533, Issue 2, pp. 682-695 (2000)
https://doi.org/10.1086/308692
6. Chesnok N. G. General properties of a sample of isolated galaxies containing an active nucleus. Kosmichna Nauka i Tekhnologiya. Vol.16, No. 5, p. 77-80 (2010)
https://doi.org/10.15407/knit2010.05.077
7. Dale D. A., Helou G., Magdis G.E., et al. A Two-parameter Model for the Infrared/Submillimeter/Radio Spectral Energy Distributions of Galaxies and Active Galactic Nuclei. The Astrophysical Journal, Volume 784, Issue 1, article id. 83, 11 pp. (2014)
https://doi.org/10.1088/0004-637X/784/1/83
8. Dubois J., Fraix-Burnet D., Moultaka J. et al. Unsupervised classification of CIGALE galaxy spectra. Astron. Astrophys., 663, id.A21, 18 pp. (2022)
https://doi.org/10.1051/0004-6361/202141729
9. Ehlert, S., von der Linden, A., Allen S. W., et al. X-ray bright active galactic nuclei in massive galaxy clusters - II. The fraction of galaxies hosting active nuclei. Monthly Notices of the Royal Astronomical Society, Volume 437, Issue 2, p.1942-1949 (2014)
https://doi.org/10.1093/mnras/stt2025
10. Einasto M., Kipper R., Tenjes P., et al. Death at watersheds: Galaxy quenching in low-density environments. Astronomy & Astrophysics, Volume 668, id.A69, 20 pp. (2022)
https://doi.org/10.1051/0004-6361/202244304
11. Fritz J., Franceschini A., Hatziminaoglou E. Revisiting the infrared spectra of active galactic nuclei with a new torus emission model. Monthly Notices of the Royal Astronomical Society, Volume 366, Issue 3, pp. 767-786 (2006)
https://doi.org/10.1111/j.1365-2966.2006.09866.x
12. Hirschmann M., De Lucia, G., Iovino A., Cucciati O. Isolated galaxies in hierarchical galaxy formation models - present-day properties and environmental histories. Monthly Notices of the Royal Astronomical Society, Volume 433, Issue 2, p.1479-1491 (2013)
https://doi.org/10.1093/mnras/stt827
13. Juodžbalis I., Conselice C. J., Singh M. et al. EPOCHS VII: discovery of high-redshift (6.5 https://doi.org/10.1093/mnras/stad2396
14. Karachentsev I. D., Karachentseva V. E., Huchtmeier W. K., Disturbed isolated galaxies: indicators of a dark galaxy population? Astronomy and Astrophysics, Volume 451, Issue 3, pp.817-820 (2006)
https://doi.org/10.1051/0004-6361:20054497
15. Karachentseva V. E., Karachentsev I. D., Melnyk O. V. Early-Type (E, S0) Galaxies in the Catalog of Isolated Galaxies (KIG). Astrophysical Bulletin, Volume 76, Issue 2, p.132-145 (2021)
https://doi.org/10.1134/S1990341321020036
16. Karachentseva V. E. Catalogue of isolated galaxies. Spets. Astrof. Obs., Vol. 8, p. 3-72 (1973)
17. Karachentseva V. E., Karachentsev, I. D. Radial velocities of isolated galaxies. Astrofizika, vol. 15, Oct.-Dec. 1979, p. 589-598. Astrophysics, vol. 15, no. 4, p. 396-402.Translation. (1980)
https://doi.org/10.1007/BF01005375
18. Karachentseva V. E. An Analysis of the Isolated Galaxy Criterion. Soviet Astronomy, Vol. 24, P. 665 (1980) 19. Karachentseva V. E., Mitronova S. N., Melnyk O. V., et al. Catalog of isolated galaxies selected from the 2MASS survey. Astrophysical Bulletin, Volume 65, Issue 1, pp.1-17 (2010)
19. Mitronova S. N., Melnyk O. V., et al. Catalog of isolated galaxies selected from the 2MASS survey. Astrophysical Bulletin, Volume 65, Issue 1, pp.1-17 (2010)
https://doi.org/10.1134/S1990341310010013
20. Khramtsov V., Vavilova I. B., Dobrycheva D. V. et al. Machine learning technique for morphological classification of galaxies from the SDSS. III. Image-based inference of detailed features. Space Science & Technology, Vol. 28, No. 5, pp.27-55 (2022)
https://doi.org/10.15407/knit2022.05.027
21. Kompaniiets O. General X-ray properties of 2MIG isolated AGN at z
22. Kompaniiets O. V., Vasylenko A. A. Structure of an Absorbing Medium in the Nucleus of the Galaxy Mrk 417 Based on NuSTAR and Swift/Bat Data. Astrophysics, Volume 63, Issue 3, p.307-321 (2020)
https://doi.org/10.1007/s10511-020-09636-1
23. Kompaniiets O. V. , Babyk, Iu. V., Vasylenko A. A. et al. X-ray spectral and image spatial models of NGC 3081 with Chandra data. The Predictive Power of Computational Astrophysics as a Discovery Tool. Proceedings of the Virtual Meeting held 8-12 November 2021, originally planned for Chamonix, France. Edited by Dmitry Bisikalo, Dmitri Wiebe and Christian Boily. Proceedings of the International Astronomical Union, Volume 362, pp. 100-104 (2023)
https://doi.org/10.1017/S1743921322001624
24. Koss Oh K. M., Markwardt C. B., et al. The 105-Month Swift-BAT All-sky Hard X-Ray Survey. The Astrophysical Journal Supplement Series, Volume 235, Issue 1, article id. 4, 14 pp. (2018)
https://doi.org/10.3847/1538-4365/aaa7fd
25. Koulouridis E., Bartalucci I. High density of active galactic nuclei in the outskirts of distant galaxy clusters. Astronomy & Astrophysics, Volume 623, id.L10, 6 pp. (2019) https://doi.org/10.1051/0004-6361/201935082
https://doi.org/10.1051/0004-6361/201935082
26. Leon S. ,Verdes-Montenegro L., Sabater J. et al. The AMIGA sample of isolated galaxies. VI. Radio continuum properties of isolated galaxies: a very radio-quiet sample. Astronomy and Astrophysics, Volume 485, Issue 2, 2008, pp.475-486 (2008)
https://doi.org/10.1051/0004-6361:20078533
27. Melnyk O., Karachentseva V., Karachentsev I. Star formation rates in isolated galaxies selected from the Two-Micron All-Sky Survey. Monthly Notices of the Royal Astronomical Society, Volume 451, Issue 2, p.1482-1495 (2015)
https://doi.org/10.1093/mnras/stv950
28. Melnyk O. Mitronova S., Karachentseva V. Colours of isolated galaxies selected from the Two-Micron All-Sky Survey. Monthly Notices of the Royal Astronomical Society, Volume 438, Issue 1, p.548-556 (2014)
https://doi.org/10.1093/mnras/stt2225
29. Miller D., Tremonti C., Diamond-Stanic A., Lundgren. B. Observational analysis of the physical properties of eBOSS galaxies using CIGALE. American Astronomical Society Meeting #241, id. 405.02. Bulletin of the American Astronomical Society, Vol. 55, No. 2 e-id 2023n2i405p02 (2023).
30. Pulatova N.,Vavilova I., Berczik P. Statistical study of isolated and non-isolated AGNs in the Local Universe. Feeding Compact Objects: Accretion on All Scales, Proceedings of the International Astronomical Union, IAU Symposium, Volume 290, pp. 297-298 (2013)
https://doi.org/10.1017/S1743921312020091
31. Pulatova N. G., Vavilova I. B., Sawangwit, U., et al. The 2MIG isolated AGNs - I. General and multiwavelength properties of AGNs and host galaxies in the northern sky. Monthly Notices of the Royal Astronomical Society, Volume 447, Issue 3, p.2209-2223 (2015)
https://doi.org/10.1093/mnras/stu2556
32. Pulatova N. G., Vavilova I. B., Vasylenko A. A. Radio properties of the low-redshift isolated galaxies with active nuclei. Kinematika i fizika nebesnyh tel (Online), vol. 39, issue 2, pp. 47-72 (2023)
https://doi.org/10.15407/kfnt2023.02.047
33. Sabater J., Verdes-Montenegro L., Leon, S., et al. The AMIGA sample of isolated galaxies. XI. Optical characterisation of nuclear activity. Astronomy & Astrophysics, Volume 545, id.A15, 15 pp. (2012)
https://doi.org/10.1051/0004-6361/201118692
34. Sánchez-Alarcón P. M., Román J., Knapen J. H., et al. The AMIGA sample of isolated galaxies. XIV. Disc breaks and interactions through ultra-deep optical imaging, eprint arXiv:2307.02527 (2023)
https://doi.org/10.1051/0004-6361/202346719
35. Sobolenko M., Kompaniiets, O., Berczik, P. , et al. NGC 6240 supermassive black hole binary dynamical evolution based on Chandra data. Monthly Notices of the Royal Astronomical Society, Volume 517, Issue 2, pp.1791-1802 (2022)
https://doi.org/10.1093/mnras/stac2472
36. Suleiman N., Noboriguchi A., Toba Yo. et al. The statistical properties of 28 IR-bright dust-obscured galaxies and SED modelling using CIGALE. Publications of the Astronomical Society of Japan, 74, 5, pp.1157-1185 (2022).
https://doi.org/10.1093/pasj/psac061
37. Sulentic J. W., Verdes-Montenegro L., Bergond, G., et al. The AMIGA sample of isolated galaxies. II. Morphological refinement. Astronomy and Astrophysics, Volume 449, Issue 3, pp.937-949 (2006)
https://doi.org/10.1051/0004-6361:20054020
38. Vasylenko A. A., Vavilova I. B., Pulatova N. G. Isolated AGNs NGC 5347, ESO 438-009, MCG-02-04-090, and J11366-6002: Swift and NuSTAR joined view. Astronomische Nachrichten, Volume 341, Issue 8, pp. 801-811 (2020)
https://doi.org/10.1002/asna.202013783
39. Vavilova I. B., Dobrycheva D. V., Vasylenko M. Yu. et al. Machine learning technique for morphological classification of galaxies from the SDSS. I. Photometry-based approach. Astronomy & Astrophysics, Volume 648, id.A122, 14 pp. (2021)
https://doi.org/10.1051/0004-6361/202038981
40. Vavilova I. B., Karachentseva V. E., Makarov D. I., Melnyk O. V., Triplets of Galaxies in the Local Supercluster. I. Kinematic and Virial Parameters. Kinematika i Fizika Nebesnykh Tel, vol. 21, no. 1, p. 3-20 (2005)
41. Vavilova I. B., Khramtsov V., Dobrycheva D. V., et al. Machine learning technique for morphological classification of galaxies from SDSS. II. The image-based morphological catalogs of galaxies at 0.02