Free Access
Issue |
A&A
Volume 658, February 2022
|
|
---|---|---|
Article Number | A175 | |
Number of page(s) | 16 | |
Section | Extragalactic astronomy | |
DOI | https://doi.org/10.1051/0004-6361/202142059 | |
Published online | 18 February 2022 |
- Price-Whelan, A. M. 2018, AJ, 156, 123 Astropy Collaboration [NASA ADS] [CrossRef] [Google Scholar]
- Ahn, C. P., Alexandroff, R., Allende Prieto, C., et al. 2014, ApJS, 211, 17 [NASA ADS] [CrossRef] [Google Scholar]
- Ahumada, R., Prieto, C. A., Almeida, A., et al. 2020, ApJS, 249, 3 [Google Scholar]
- Aihara, H., Arimoto, N., Armstrong, R., et al. 2018, PASJ, 70, S4 [NASA ADS] [Google Scholar]
- Aihara, H., AlSayyad, Y., Ando, M., et al. 2019, PASJ, 71, 114 [Google Scholar]
- Akiyama, M., He, W., Ikeda, H., et al. 2018, PASJ, 70, S34 [NASA ADS] [CrossRef] [Google Scholar]
- Alam, S., Albareti, F. D., Allende Prieto, C., et al. 2015, ApJS, 219, 12 [Google Scholar]
- Aniano, G., Draine, B. T., Calzetti, D., et al. 2012, ApJ, 756, 138 [Google Scholar]
- Astropy Collaboration (Price-Whelan, A. M., et al.) 2018, AJ, 156, 123 [Google Scholar]
- Bañados, E., Venemans, B. P., Decarli, R., et al. 2016, ApJS, 227, 11 [Google Scholar]
- Bañados, E., Venemans, B. P., Mazzucchelli, C., et al. 2018, Nature, 553, 473 [Google Scholar]
- Barger, A. J., Cowie, L. L., Capak, P., et al. 2003, AJ, 126, 632 [NASA ADS] [CrossRef] [Google Scholar]
- Barrufet, L., Pearson, C., Serjeant, S., et al. 2020, A&A, 641, A129 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Barth, A. J., Ho, L. C., Rutledge, R. E., & Sargent, W. L. W. 2004, ApJ, 607, 90 [NASA ADS] [CrossRef] [Google Scholar]
- Bianchi, L., Conti, A., & Shiao, B. 2014, Adv. Space Res., 53, 900 [Google Scholar]
- Boquien, M., Burgarella, D., Roehlly, Y., et al. 2019, A&A, 622, A103 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Bosch, J., Armstrong, R., Bickerton, S., et al. 2018, PASJ, 70, S5 [Google Scholar]
- Bruzual, G., & Charlot, S. 2003, MNRAS, 344, 1000 [NASA ADS] [CrossRef] [Google Scholar]
- Buchner, J. 2021, J. Open Sour. Software, 6, 3001 [NASA ADS] [CrossRef] [Google Scholar]
- Buchner, J., Georgakakis, A., Nandra, K., et al. 2015, ApJ, 802, 89 [Google Scholar]
- Calzetti, D., Armus, L., Bohlin, R. C., et al. 2000, ApJ, 533, 682 [NASA ADS] [CrossRef] [Google Scholar]
- Capak, P. L., Riechers, D., Scoville, N. Z., et al. 2011, Nature, 470, 233 [Google Scholar]
- Chen, C. T. J., Brandt, W. N., Luo, B., et al. 2018, MNRAS, 478, 2132 [NASA ADS] [CrossRef] [Google Scholar]
- Chiappetti, L., Fotopoulou, S., Lidman, C., et al. 2018, A&A, 620, A12 (XXL Paper XXVII) [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Ciesla, L., Charmandaris, V., Georgakakis, A., et al. 2015, A&A, 576, A10 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Civano, F., Marchesi, S., Comastri, A., et al. 2016, ApJ, 819, 62 [Google Scholar]
- Coil, A. L., Blanton, M. R., Burles, S. M., et al. 2011, ApJ, 741, 8 [Google Scholar]
- Cool, R. J., Moustakas, J., Blanton, M. R., et al. 2013, ApJ, 767, 118 [NASA ADS] [CrossRef] [Google Scholar]
- Croton, D. J. 2006, MNRAS, 369, 1808 [NASA ADS] [CrossRef] [Google Scholar]
- De Luca, A., Stelzer, B., Burgasser, A. J., et al. 2020, A&A, 634, L13 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Di Matteo, T., Springel, V., & Hernquist, L. 2005, Nature, 433, 604 [NASA ADS] [CrossRef] [Google Scholar]
- Dong, X., Wang, T., Yuan, W., et al. 2007, ApJ, 657, 700 [NASA ADS] [CrossRef] [Google Scholar]
- Draine, B. T., & Li, A. 2007, ApJ, 657, 810 [NASA ADS] [CrossRef] [Google Scholar]
- Draine, B. T., Aniano, G., Krause, O., et al. 2014, ApJ, 780, 172 [Google Scholar]
- Dye, S., Warren, S. J., Hambly, N. C., et al. 2006, MNRAS, 372, 1227 [Google Scholar]
- Edge, A., Sutherland, W., Kuijken, K., et al. 2013, Messenger, 154, 32 [Google Scholar]
- Elvis, M., Civano, F., Vignali, C., et al. 2009, ApJS, 184, 158 [Google Scholar]
- Emerson, J., McPherson, A., & Sutherland, W. 2006, Messenger, 126, 41 [Google Scholar]
- Fazio, G. G., Hora, J. L., Allen, L. E., et al. 2004, ApJS, 154, 10 [Google Scholar]
- Filippenko, A. V., & Ho, L. C. 2003, ApJ, 588, L13 [NASA ADS] [CrossRef] [Google Scholar]
- Fotopoulou, S., Pacaud, F., Paltani, S., et al. 2016, A&A, 592, A5 (XXL Paper VI) [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Furusawa, H., Kosugi, G., Akiyama, M., et al. 2008, ApJS, 176, 1 [NASA ADS] [CrossRef] [Google Scholar]
- Garilli, B., Guzzo, L., Scodeggio, M., et al. 2014, A&A, 562, A23 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Georgakakis, A., Aird, J., Buchner, J., et al. 2015, MNRAS, 453, 1946 [Google Scholar]
- Giavalisco, M. 2002, ARA&A, 40, 579 [Google Scholar]
- Gilli, R., Comastri, A., & Hasinger, G. 2007, A&A, 463, 79 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Granato, G. L., De Zotti, G., Silva, L., Bressan, A., & Danese, L. 2004, ApJ, 600, 580 [Google Scholar]
- Greene, J. E., & Ho, L. C. 2004, ApJ, 610, 722 [NASA ADS] [CrossRef] [Google Scholar]
- Greene, J. E., & Ho, L. C. 2007, ApJ, 670, 92 [NASA ADS] [CrossRef] [Google Scholar]
- Greene, J. E., Ho, L. C., & Barth, A. J. 2008, ApJ, 688, 159 [NASA ADS] [CrossRef] [Google Scholar]
- Hiroi, K., Ueda, Y., Akiyama, M., & Watson, M. G. 2012, ApJ, 758, 49 [Google Scholar]
- Hoaglin, D. C., Mosteller, F., & Tukey, J. W. 1983, Understanding Robust and Exploratory Data Anlysis (New York: Wiley) [Google Scholar]
- Hopkins, P. F., Hernquist, L., Cox, T. J., et al. 2006, ApJS, 163, 1 [Google Scholar]
- Hopkins, P. F., Hernquist, L., Cox, T. J., & Kereš, D. 2008, ApJS, 175, 356 [Google Scholar]
- Hornschemeier, A. E., Bauer, F. E., Alexander, D. M., et al. 2003, AJ, 126, 575 [NASA ADS] [CrossRef] [Google Scholar]
- Hudelot, P., Cuillandre, J. C., Withington, K., et al. 2012, VizieR Online Data Catalog: II/317 [Google Scholar]
- Hunter, J. D. 2007, Comput. Sci. Eng., 9, 90 [NASA ADS] [CrossRef] [Google Scholar]
- Ilbert, O., Arnouts, S., McCracken, H. J., et al. 2006, A&A, 457, 841 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Jarvis, M. J., Bonfield, D. G., Bruce, V. A., et al. 2013, MNRAS, 428, 1281 [Google Scholar]
- Khorunzhev, G. A., Burenin, R. A., Sazonov, S. Y., et al. 2019, Astron. Lett., 45, 411 [NASA ADS] [CrossRef] [Google Scholar]
- Khorunzhev, G. A., Meshcheryakov, A. V., Medvedev, P. S., et al. 2021, Astron. Lett., 47, 123 [NASA ADS] [CrossRef] [Google Scholar]
- Kormendy, J., & Kennicutt, R. C., Jr. 2004, ARA&A, 42, 603 [Google Scholar]
- Laigle, C., McCracken, H. J., Ilbert, O., et al. 2016, ApJS, 224, 24 [Google Scholar]
- LaMassa, S. M., Civano, F., Brusa, M., et al. 2016, ApJ, 818, 88 [NASA ADS] [CrossRef] [Google Scholar]
- Le Fèvre, O., Cassata, P., Cucciati, O., et al. 2013, A&A, 559, A14 [Google Scholar]
- Liske, J., Baldry, I. K., Driver, S. P., et al. 2015, MNRAS, 452, 2087 [Google Scholar]
- Liu, Z., Merloni, A., Georgakakis, A., et al. 2016, MNRAS, 459, 1602 [Google Scholar]
- Luo, B., Brandt, W. N., Xue, Y. Q., et al. 2017, ApJS, 228, 2 [Google Scholar]
- Maccacaro, T., Gioia, I. M., Wolter, A., Zamorani, G., & Stocke, J. T. 1988, ApJ, 326, 680 [NASA ADS] [CrossRef] [Google Scholar]
- Magorrian, J., Tremaine, S., Richstone, D., et al. 1998, AJ, 115, 2285 [Google Scholar]
- Marchesi, S., Civano, F., Salvato, M., et al. 2016, ApJ, 827, 150 [Google Scholar]
- Marchesi, S., Gilli, R., Lanzuisi, G., et al. 2020, A&A, 642, A184 [EDP Sciences] [Google Scholar]
- Masters, D., Capak, P., Salvato, M., et al. 2012, ApJ, 755, 169 [NASA ADS] [CrossRef] [Google Scholar]
- Matsuoka, Y., Iwasawa, K., Onoue, M., et al. 2019a, ApJ, 883, 183 [Google Scholar]
- Matsuoka, Y., Onoue, M., Kashikawa, N., et al. 2019b, ApJ, 872, L2 [Google Scholar]
- McMahon, R. G., Banerji, M., Gonzalez, E., et al. 2013, Messenger, 154, 35 [Google Scholar]
- Medvedev, P., Sazonov, S., Gilfanov, M., et al. 2020, MNRAS, 497, 1842 [Google Scholar]
- Menci, N., Fiore, F., Puccetti, S., & Cavaliere, A. 2008, ApJ, 686, 219 [NASA ADS] [CrossRef] [Google Scholar]
- Menzel, M.-L., Merloni, A., Georgakakis, A., et al. 2016, MNRAS, 457, 110 [Google Scholar]
- Miyazaki, S., Komiyama, Y., Kawanomoto, S., et al. 2018, PASJ, 70, S1 [NASA ADS] [Google Scholar]
- Mortlock, D. J., Warren, S. J., Venemans, B. P., et al. 2011, Nature, 474, 616 [Google Scholar]
- Mountrichas, G., Buat, V., Yang, G., et al. 2021, A&A, 646, A29 [EDP Sciences] [Google Scholar]
- Moutard, T., Arnouts, S., Ilbert, O., et al. 2016, A&A, 590, A102 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Noll, S., Burgarella, D., Giovannoli, E., et al. 2009, A&A, 507, 1793 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Ono, Y., Ouchi, M., Harikane, Y., et al. 2018, PASJ, 70, S10 [Google Scholar]
- Pâris, I., Petitjean, P., Aubourg, É., et al. 2018, A&A, 613, A51 [Google Scholar]
- Pierre, M., Pacaud, F., Adami, C., et al. 2016, A&A, 592, A1 (XXL Paper I) [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Pouliasis, E., Georgantopoulos, I., Bonanos, A. Z., et al. 2019, MNRAS, 487, 4285 [CrossRef] [Google Scholar]
- Pouliasis, E., Mountrichas, G., Georgantopoulos, I., et al. 2020, MNRAS, 495, 1853 [NASA ADS] [CrossRef] [Google Scholar]
- Predehl, P., Andritschke, R., Arefiev, V., et al. 2021, A&A, 647, A1 [EDP Sciences] [Google Scholar]
- Ross, N. P., McGreer, I. D., White, M., et al. 2013, ApJ, 773, 14 [NASA ADS] [CrossRef] [Google Scholar]
- Ruiz, A., Corral, A., Mountrichas, G., & Georgantopoulos, I. 2018, A&A, 618, A52 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Salpeter, E. E. 1955, ApJ, 121, 161 [Google Scholar]
- Salvato, M., Hasinger, G., Ilbert, O., et al. 2009, ApJ, 690, 1250 [CrossRef] [Google Scholar]
- Schmidt, M. 1968, ApJ, 151, 393 [Google Scholar]
- Shi, K., Toshikawa, J., Lee, K.-S., et al. 2021, ApJ, 911, 46 [NASA ADS] [CrossRef] [Google Scholar]
- Silk, J., & Rees, M. J. 1998, A&A, 331, L1 [NASA ADS] [Google Scholar]
- Skilling, J. 2004, in Bayesian Inference and Maximum Entropy Methods in Science and Engineering: 24th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, eds. R. Fischer, R. Preuss, & U. V. Toussaint, Am. Inst. Phys. Conf. Ser., 735, 395 [NASA ADS] [CrossRef] [Google Scholar]
- Skilling, J. 2009, in Bayesian Inference and Maximum Entropy Methods in Science and Engineering: The 29th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, eds. P. M. Goggans, & C. Y. Chan, Am. Inst. Phys. Conf. Ser., 1193, 277 [Google Scholar]
- Stalevski, M., Fritz, J., Baes, M., Nakos, T., & Popović, L. Č. 2012, MNRAS, 420, 2756 [Google Scholar]
- Stalevski, M., Ricci, C., Ueda, Y., et al. 2016, MNRAS, 458, 2288 [Google Scholar]
- Steidel, C. C., Giavalisco, M., Pettini, M., Dickinson, M., & Adelberger, K. L. 1996, ApJ, 462, L17 [Google Scholar]
- Steidel, C. C., Adelberger, K. L., Giavalisco, M., Dickinson, M., & Pettini, M. 1999, ApJ, 519, 1 [NASA ADS] [CrossRef] [Google Scholar]
- Sutherland, W., & Saunders, W. 1992, MNRAS, 259, 413 [Google Scholar]
- Taylor, M. B. 2005, in Astronomical Data Analysis Software and Systems XIV, eds. P. Shopbell, M. Britton, & R. Ebert, ASP Conf. Ser., 347, 29 [Google Scholar]
- Toba, Y., Goto, T., Oi, N., et al. 2020, ApJ, 899, 35 [Google Scholar]
- Toba, Y., Ueda, Y., Gandhi, P., et al. 2021, ApJ, 912, 91 [NASA ADS] [CrossRef] [Google Scholar]
- Ueda, Y., Watson, M. G., Stewart, I. M., et al. 2008, ApJS, 179, 124 [NASA ADS] [CrossRef] [Google Scholar]
- Ueda, Y., Akiyama, M., Hasinger, G., Miyaji, T., & Watson, M. G. 2014, ApJ, 786, 104 [Google Scholar]
- Vito, F., Gilli, R., Vignali, C., et al. 2014, MNRAS, 445, 3557 [Google Scholar]
- Vito, F., Gilli, R., Vignali, C., et al. 2016, MNRAS, 463, 348 [NASA ADS] [CrossRef] [Google Scholar]
- Vito, F., Brandt, W. N., Yang, G., et al. 2018, MNRAS, 473, 2378 [Google Scholar]
- Volonteri, M. 2010, A&ARv, 18, 279 [Google Scholar]
- Wang, F., Yang, J., Fan, X., et al. 2018, ApJ, 869, L9 [NASA ADS] [CrossRef] [Google Scholar]
- Wang, F., Yang, J., Fan, X., et al. 2021, ApJ, 907, L1 [Google Scholar]
- Watson, M. G., Schröder, A. C., Fyfe, D., et al. 2009, A&A, 493, 339 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Wenger, M., Ochsenbein, F., Egret, D., et al. 2000, A&AS, 143, 9 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Werner, M. W., Roellig, T. L., Low, F. J., et al. 2004, ApJS, 154, 1 [NASA ADS] [CrossRef] [Google Scholar]
- Wolf, J., Nandra, K., Salvato, M., et al. 2021, A&A, 647, A5 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Wright, E. L., Eisenhardt, P. R. M., Mainzer, A. K., et al. 2010, AJ, 140, 1868 [Google Scholar]
- Xue, Y. Q., Luo, B., Brandt, W. N., et al. 2011, ApJS, 195, 10 [Google Scholar]
- Yang, J., Wang, F., Fan, X., et al. 2020a, ApJ, 897, L14 [Google Scholar]
- Yang, G., Boquien, M., Buat, V., et al. 2020b, MNRAS, 491, 740 [Google Scholar]
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.