Open Access
Issue |
A&A
Volume 683, March 2024
|
|
---|---|---|
Article Number | A104 | |
Number of page(s) | 16 | |
Section | Numerical methods and codes | |
DOI | https://doi.org/10.1051/0004-6361/202347341 | |
Published online | 13 March 2024 |
- Alex Rodriguez, A. L. 2014, Science, 344, 1492 [NASA ADS] [CrossRef] [Google Scholar]
- Alves, J., Lombardi, M., & Lada, C. J. 2007, A&A, 462, L17 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Arzoumanian, D., André, P., Könyves, V., et al. 2019, A&A, 621, A42 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Astropy Collaboration (Price-Whelan, A. M., et al.) 2018, AJ, 156, 123 [Google Scholar]
- Basu, S., Banerjee, A., & Mooney, R. J. 2002, in Machine Learning, Proceedingsof the Nineteenth International Conference (ICML 2002), University of New South Wales, Sydney, Australia, July 8–12, 2002 [Google Scholar]
- Benedettini, M., Pezzuto, S., Schisano, E., et al. 2018, A&A, 619, A52 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Bergin, E. A., & Tafalla, M. 2007, ARA&A, 45, 339 [Google Scholar]
- Berry, D. S. 2015, Astron. Comput., 10, 22 [Google Scholar]
- Berry, D. S., Reinhold, K., Jenness, T., & Economou, F. 2007, in ASP Conf. Ser., 376, Astronomical Data Analysis Software and Systems XVI, eds. R. A. Shaw, F. Hill, & D. J. Bell, 425 [Google Scholar]
- Berry, D., Graves, S., Bell, G. S., et al. 2022, inASP Conf. Ser., 532, Astronomical Society of the Pacific Conference Series, eds. J. E. Ruiz, F. Pierfedereci, & P. Teuben, 559 [Google Scholar]
- Blitz, L., & Stark, A. A. 1986, ApJ, 300, L89 [CrossRef] [Google Scholar]
- Bresnahan, D., Ward-Thompson, D., Kirk, J. M., et al. 2018, A&A, 615, A125 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Burton, M. G., Braiding, C., Glueck, C., et al. 2013, PASA, 30, e044 [NASA ADS] [CrossRef] [Google Scholar]
- Caron, M., Bojanowski, P., Joulin, A., & Douze, M. 2018, arXiv e-prints [arXiv:1807.05520] [Google Scholar]
- Chabrier, G. 2003, PASP, 115, 763 [Google Scholar]
- Cheng, Y., Tan, J. C., Liu, M., et al. 2018, ApJ, 853, 160 [NASA ADS] [CrossRef] [Google Scholar]
- Cheng, T.-Y., Conselice, C. J., Aragón-Salamanca, A., et al. 2020, MNRAS, 493, 4209 [Google Scholar]
- Cheng, T.-Y., Huertas-Company, M., Conselice, C. J., et al. 2021, MNRAS, 503, 4446 [NASA ADS] [CrossRef] [Google Scholar]
- Colombo, D., Hughes, A., Schinnerer, E., et al. 2014, ApJ, 784, 3 [NASA ADS] [CrossRef] [Google Scholar]
- Comrie, A., Wang, K.-S., Hsu, S.-C., et al. 2021, https://doi.org/10.5281/zenodo.4905459 [Google Scholar]
- Congiu, E., Blanc, G. A., Belfiore, F., et al. 2023, A&A, 672, A148 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Currie, M. J., Berry, D. S., Jenness, T., et al. 2014, in ASP Conf. Ser., 485, Astronomical Data Analysis Software and Systems XXIII, eds. N. Manset, & P. Forshay, 391 [Google Scholar]
- Demianenko, M., Malanchev, K., Samorodova, E., et al. 2023, A&A, 677, A16 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Eden, D. J., Moore, T. J. T., Plume, R., et al. 2017, MNRAS, 469, 2163 [Google Scholar]
- Eden, D. J., Liu, T., Kim, K.-T., et al. 2019, MNRAS, 485, 2895 [NASA ADS] [CrossRef] [Google Scholar]
- Faesi, C. M., Lada, C. J., & Forbrich, J. 2016, ApJ, 821, 125 [NASA ADS] [CrossRef] [Google Scholar]
- Gómez, L., Wyrowski, F., Schuller, F., Menten, K. M., & Ballesteros-Paredes, J. 2014, A&A, 561, A148 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Gupta, R., Srijith, P., & Desai, S. 2022, Astron. Comput., 38, 100543 [NASA ADS] [CrossRef] [Google Scholar]
- Hacar, A., Tafalla, M., Kauffmann, J., & Kovács, A. 2013, A&A, 554, A55 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Han, Y., Zou, Z., Li, N., & Chen, Y. 2022, Res. Astron. Astrophys., 22, 085006 [CrossRef] [Google Scholar]
- Hasanaj, E., Wang, J., Sarathi, A., Ding, J., & Bar-Joseph, Z. 2021, https://doi.org/10.1101/2021.03.19.436162 [Google Scholar]
- Hasanaj, E., Wang, J., Sarathi, A., Ding, J., & Bar-Joseph, Z. 2022, Nat.Commun., 13, 1 [NASA ADS] [CrossRef] [Google Scholar]
- He, Z., Qiu, B., Luo, A.-L., et al. 2021, MNRAS, 508, 2039 [NASA ADS] [CrossRef] [Google Scholar]
- Hogg, D. W., & Lang, D. 2008, in AIP Conf. Ser., 1082, Classification and Discovery in Large Astronomical Surveys, ed. C. A. L. Bailer-Jones, 331 [Google Scholar]
- Ikeda, N., & Kitamura, Y. 2009, ApJ, 705, L95 [Google Scholar]
- Ikeda, N., & Kitamura, Y. 2011, ApJ, 732, 101 [NASA ADS] [CrossRef] [Google Scholar]
- Jackson, J. M., Rathborne, J. M., Shah, R. Y., et al. 2006, ApJS, 163, 145 [NASA ADS] [CrossRef] [Google Scholar]
- James, G., Witten, D., Hastie, T., Tibshirani, R., et al. 2013, An Introduction toStatistical Learning, 112 (Springer) [Google Scholar]
- Jiang, Z., & Li, J. 2013, in Protostars and Planets VI, Posters 1B003 [Google Scholar]
- Jiang, Y., Zheng, S., Jiang, Z., et al. 2022, Astron. Comput., 40, 100613 [NASA ADS] [CrossRef] [Google Scholar]
- Jiang, Y., Chen, Z., Zheng, S., et al. 2023, ApJS, 267, 32 [NASA ADS] [CrossRef] [Google Scholar]
- Johnstone, D., Ciccone, S., Kirk, H., et al. 2017, ApJ, 836, 132 [NASA ADS] [CrossRef] [Google Scholar]
- Juvela, M., He, J., Pattle, K., et al. 2018, A&A, 612, A71 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Kainulainen, J., Lada, C. J., Rathborne, J. M., & Alves, J. F. 2009, A&A, 497, 399 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Kirk, H., Johnstone, D., & Francesco, J. D. 2006, ApJ, 646, 1009 [NASA ADS] [CrossRef] [Google Scholar]
- Könyves, V., André, P., Men’shchikov, A., et al. 2010, A&A, 518, L106 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Könyves, V., André, P., Men’shchikov, A., et al. 2015, A&A, 584, A91 [Google Scholar]
- Krumholz, M. R., & McKee, C. F. 2005, ApJ, 630, 250 [Google Scholar]
- Krumholz, M. R., McKee, C. F., & Tumlinson, J. 2009, ApJ, 699, 850 [NASA ADS] [CrossRef] [Google Scholar]
- Lada, E. A. 1992, ApJ, 393, L25 [NASA ADS] [CrossRef] [Google Scholar]
- Li, C., Wang, H.-C., Wu, Y.-W., Ma, Y.-H., & Lin, L.-H. 2020, Res. Astron. Astrophys., 20, 031 [CrossRef] [Google Scholar]
- Liu, L., Bureau, M., Li, G.-X., et al. 2022, MNRAS, 517, 632 [NASA ADS] [CrossRef] [Google Scholar]
- Lukic, V., de Gasperin, F., & Brüggen, M. 2020, Galaxies, 2020, 8 [NASA ADS] [Google Scholar]
- Luo, X., Zheng, S., Huang, Y., et al. 2022, Res. Astron. Astrophys., 22, 015003 [CrossRef] [Google Scholar]
- Mannfors, E., Juvela, M., Bronfman, L., et al. 2021, A&A, 654, A123 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Marsh, K. A., Kirk, J. M., André, P., et al. 2016, MNRAS, 459, 342 [Google Scholar]
- Motte, F., Andre, P., & Neri, R. 1998, A&A, 336, 150 [NASA ADS] [Google Scholar]
- Motte, F., Bontemps, S., & Louvet, F. 2018, ARA&A, 56, 41 [NASA ADS] [CrossRef] [Google Scholar]
- Nakanishi, H., Fujita, S., Tachihara, K., et al. 2020, PASJ, 72, 43 [CrossRef] [Google Scholar]
- Nutter, D., & Ward-Thompson, D. 2007, MNRAS, 374, 1413 [Google Scholar]
- Ohashi, S., Sanhueza, P., Chen, H.-R. V., et al. 2016, ApJ, 833, 209 [NASA ADS] [CrossRef] [Google Scholar]
- Olmi, L., Ade, P. A. R., Anglés-Alcázar, D., et al. 2009, ApJ, 707, 1836 [NASA ADS] [CrossRef] [Google Scholar]
- Pedregosa, F., Varoquaux, G., Gramfort, A., et al. 2011, J. Mach. Learn. Res., 12, 2825 [Google Scholar]
- Pineda, J. E., Rosolowsky, E. W., & Goodman, A. A. 2009, ApJ, 699, L134 [NASA ADS] [CrossRef] [Google Scholar]
- Rani, R., Moore, T. J. T., Eden, D. J., et al. 2023, MNRAS, 523, 1832 [NASA ADS] [CrossRef] [Google Scholar]
- Rathborne, J. M., Lada, C. J., Muench, A. A., et al. 2009, ApJ, 699, 742 [Google Scholar]
- Rigby, A. J., Moore, T. J. T., Plume, R., et al. 2016, MNRAS, 456, 2885 [NASA ADS] [CrossRef] [Google Scholar]
- Rigby, A. J., Moore, T. J. T., Eden, D. J., et al. 2019, A&A, 632, A58 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Rojas, K., Savary, E., Clément, B., et al. 2022, A&A, 668, A73 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Rosolowsky, E. 2005, PASP, 117, 1403 [NASA ADS] [CrossRef] [Google Scholar]
- Rosolowsky, E. W., Pineda, J. E., Kauffmann, J., & Goodman, A. A. 2008, ApJ, 679, 1338 [Google Scholar]
- Rumble, D., Hatchell, J., Gutermuth, R. A., et al. 2015, MNRAS, 448, 1551 [NASA ADS] [CrossRef] [Google Scholar]
- Salpeter, E. E. 1955, ApJ, 121, 161 [Google Scholar]
- Scaringi, S., Cottis, C. E., Knigge, C., & Goad, M. R. 2009, MNRAS, 399, 2231 [NASA ADS] [CrossRef] [Google Scholar]
- Shimajiri, Y., Kitamura, Y., Nakamura, F., et al. 2015, ApJS, 217, 7 [NASA ADS] [CrossRef] [Google Scholar]
- Su, Y., Yang, J., Zhang, S., et al. 2019, ApJS, 240, 9 [Google Scholar]
- Takekoshi, T., Fujita, S., Nishimura, A., et al. 2019, ApJ, 883, 156 [NASA ADS] [CrossRef] [Google Scholar]
- Tanaka, T., Nakamura, F., Awazu, Y., et al. 2013, ApJ, 778, 34 [NASA ADS] [CrossRef] [Google Scholar]
- TensorFlow Developers, T. 2021, https://doi.org/10.5281/zenodo.4724126 [Google Scholar]
- Umemoto, T., Minamidani, T., Kuno, N., et al. 2017, PASJ, 69, 78 [Google Scholar]
- Williams, J. P., de Geus, E. J., & Blitz, L. 1994, ApJ, 428, 693 [Google Scholar]
- Williams, J. P., Blitz, L., & McKee, C. F. 2000, in Protostars and Planets IV, eds. V. Mannings, A. P. Boss, & S. S. Russell, 97 [Google Scholar]
- Wurster, J., & Rowan, C. 2023, MNRAS, 523, 3025 [NASA ADS] [CrossRef] [Google Scholar]
- Zhan, X.-L., Jiang, Z.-B., Chen, Z.-W., Zhang, M.-M., & Song, C. 2016, Res. Astron. Astrophys., 16, 56 [Google Scholar]
- Zhan, X., Xie, J., Liu, Z., Ong, Y. S., & Loy, C. C. 2020, in 2020 IEEE/CVFConference on Computer Vision and Pattern Recognition (CVPR) [Google Scholar]
- Zhang, Q., Wang, Y., Pillai, T., & Rathborne, J. 2009, ApJ, 696, 268 [Google Scholar]
- Zhang, G.-Y., Xu, J.-L., Vasyunin, A. I., et al. 2018, A&A, 620, A163 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Zhang, S., Zavagno, A., López-Sepulcre, A., et al. 2021, A&A, 646, A25 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Zhu, X.-P., Dai, J.-M., Bian, C.-J., et al. 2019, Ap&SS, 364, 55 [NASA ADS] [CrossRef] [Google Scholar]
- Zinnecker, H., & Yorke, H. W. 2007, ARA&A, 45, 481 [Google Scholar]
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