Free Access
Issue |
A&A
Volume 648, April 2021
|
|
---|---|---|
Article Number | A74 | |
Number of page(s) | 18 | |
Section | Cosmology (including clusters of galaxies) | |
DOI | https://doi.org/10.1051/0004-6361/202039048 | |
Published online | 14 April 2021 |
- Abbott, T. M. C., Aguena, M., Alarcon, A., et al. 2020, Phys. Rev. D, 102 [Google Scholar]
- Adler, R. J. 1981, The Geometry of Random Fields (Chichester: John Wiley& Sons, Ltd.) [Google Scholar]
- Angulo, R. E., Zennaro, M., Contreras, S., et al. 2020, ArXiv e-prints [arXiv:2004.06245] [Google Scholar]
- Asgari, M., Tröster, T., Heymans, C., et al. 2020, A&A, 634, A127 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Bartelmann, M., & Schneider, P. 2001, Phys. Rep., 340, 291 [NASA ADS] [CrossRef] [Google Scholar]
- Blaser, N., & Brun, M. 2019, ArXiv e-prints [arXiv:1911.07484] [Google Scholar]
- Bresten, C., & Jung, J. H. 2019, ArXiv e-prints [arXiv:1910.08245] [Google Scholar]
- Bubenik, P. 2015, J. Mach. Learn. Res., 16, 77 [Google Scholar]
- Burger, P., Schneider, P., Demchenko, V., et al. 2020, A&A, 642, A161 [EDP Sciences] [Google Scholar]
- Cheng, S., Ting, Y.-S., Ménard, B., & Bruna, J. 2020, MNRAS, 499, 5902 [CrossRef] [Google Scholar]
- de Silva, V., Morozov, D., & Vejdemo-Johansson, M. 2011, Inverse Problems. An International Journal on the Theory and Practice of Inverse Problems, Inverse Methods and Computerized Inversion of Data, 27, 124003 [Google Scholar]
- Dlotko, P. 2020, GUDHI User and Reference Manual, 3.1.1 Edition (GUDHI Editorial Board) [Google Scholar]
- Edelsbrunner, H., & Harer, J. 2008, in Surveys on Discrete and Computational Geometry (Providence, RI: American Mathematical Society), Contemp. Math., 453, 257 [Google Scholar]
- Elbers, W., & van de Weygaert, R. 2019, MNRAS, 486, 1523 [Google Scholar]
- Foreman-Mackey, D., Hogg, D. W., Lang, D., & Goodman, J. 2013, PASP, 125, 306 [Google Scholar]
- Fu, L., Kilbinger, M., Erben, T., et al. 2014, MNRAS, 441, 2725 [NASA ADS] [CrossRef] [Google Scholar]
- Gelman, A., Carlin, J. B., Stern, H. S., & Rubin, D. B. 2004, Bayesian Data Analysis, 2nd edn. (Chapman and Hall/CRC) [Google Scholar]
- Ghrist, R. 2014, Elementary Applied Topology, 1st edn. (Createspace) [Google Scholar]
- Giblin, B., Heymans, C., Harnois-Déraps, J., et al. 2018, MNRAS, 480, 5529 [Google Scholar]
- Gruen, D., Friedrich, O., Krause, E., et al. 2018, Phys. Rev. D, 98 [Google Scholar]
- Hamana, T., Shirasaki, M., Miyazaki, S., et al. 2020, PASJ, 72, 16 [CrossRef] [Google Scholar]
- Hamilton, A. J. S., Gott, J. R., III, & Weinberg, D. 1986, ApJ, 309, 1 [Google Scholar]
- Harnois-Déraps, J., & van Waerbeke, L. 2015, MNRAS, 450, 2857 [Google Scholar]
- Harnois-Déraps, J., Amon, A., Choi, A., et al. 2018, MNRAS, 481, 1337 [NASA ADS] [CrossRef] [Google Scholar]
- Harnois-Déraps, J., Giblin, B., & Joachimi, B. 2019, A&A, 631, A160 [CrossRef] [EDP Sciences] [Google Scholar]
- Hartlap, J., Simon, P., & Schneider, P. 2007, A&A, 464, 399 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Hatcher, A. 2002, Algebraic Topology (Cambridge: Cambridge University Press) [Google Scholar]
- Heitmann, K., Lawrence, E., Kwan, J., Habib, S., & Higdon, D. 2014, ApJ, 780, 111 [Google Scholar]
- Hetterscheidt, M., Erben, T., Schneider, P., et al. 2005, A&A, 442, 43 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Heydenreich, S., Schneider, P., Hildebrandt, H., et al. 2020, A&A, 634, A104 [Google Scholar]
- Heymans, C., Grocutt, E., Heavens, A., et al. 2013, MNRAS, 432, 2433 [NASA ADS] [CrossRef] [Google Scholar]
- Hikage, C., Oguri, M., Hamana, T., et al. 2019, PASJ, 71, 43 [NASA ADS] [CrossRef] [Google Scholar]
- Hildebrandt, H., Viola, M., Heymans, C., et al. 2017, MNRAS, 465, 1454 [Google Scholar]
- Hildebrandt, H., Köhlinger, F., van den Busch, J. L., et al. 2020, A&A, 633, A69 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Ivezic, Z., Axelrod, T., Brandt, W. N., et al. 2008, Serb. Astron. J., 176, 1 [NASA ADS] [CrossRef] [Google Scholar]
- Jasche, J., & Lavaux, G. 2019, A&A, 625, A64 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Jeffrey, N., Abdalla, F. B., Lahav, O., et al. 2018, MNRAS, 479, 2871 [Google Scholar]
- Joudaki, S., Blake, C., Heymans, C., et al. 2017, MNRAS, 465, 2033 [NASA ADS] [CrossRef] [Google Scholar]
- Joudaki, S., Hildebrandt, H., Traykova, D., et al. 2020, A&A, 638, L1 [CrossRef] [EDP Sciences] [Google Scholar]
- Kacprzak, T., Kirk, D., Friedrich, O., et al. 2016, MNRAS, 463, 3653 [NASA ADS] [CrossRef] [Google Scholar]
- Kaiser, N. 1992, ApJ, 388, 272 [Google Scholar]
- Kaiser, N., & Squires, G. 1993, ApJ, 404, 441 [NASA ADS] [CrossRef] [Google Scholar]
- Kilbinger, M., Fu, L., Heymans, C., et al. 2013, MNRAS, 430, 2200 [NASA ADS] [CrossRef] [Google Scholar]
- Laureijs, R., Amiaux, J., Arduini, S., et al. 2011, ArXiv e-prints [arXiv:1110.3193] [Google Scholar]
- Liu, J., & Madhavacheril, M. S. 2019, Phys. Rev. D, 99 [Google Scholar]
- Liu, X., Pan, C., Li, R., et al. 2015a, MNRAS, 450, 2888 [NASA ADS] [CrossRef] [Google Scholar]
- Liu, J., Petri, A., Haiman, Z., et al. 2015b, Phys. Rev. D, 91 [Google Scholar]
- Lo, D., & Park, B. 2018, PLoS One, 13 [Google Scholar]
- MacPherson, R., & Schweinhart, B. 2012, J. Math. Phys., 53 [Google Scholar]
- Makarenko, I., Shukurov, A., Henderson, R., et al. 2018, MNRAS, 475, 1843 [Google Scholar]
- Marques, G. A., Liu, J., Zorrilla Matilla, J. M., et al. 2019, JCAP, 2019, 019 [Google Scholar]
- Martinet, N., Schneider, P., Hildebrandt, H., et al. 2018, MNRAS, 474, 712 [NASA ADS] [CrossRef] [Google Scholar]
- Mootoovaloo, A., Heavens, A. F., Jaffe, A. H., & Leclercq, F. 2020, MNRAS, 497, 2213 [Google Scholar]
- Navarro, J. F., Frenk, C. S., & White, S. D. M. 1997, ApJ, 490, 493 [NASA ADS] [CrossRef] [Google Scholar]
- Nicolau, M., Levine, A. J., & Carlsson, G. 2011, Proc. Natl. Acad. Sci., 108, 7265 [Google Scholar]
- Otter, N., Porter, M. A., Tillmann, U., Grindrod, P., & Harrington, H. A. 2017, EPJ Data Sci., 6, A17 [Google Scholar]
- Oudot, S. Y. 2015, in Persistence Theory: from Quiver Representations to Data Analysis (Providence, RI: American Mathematical Society), Math. Surv. Monogr., 209, 218 [Google Scholar]
- Parroni, C., Cardone, V. F., Maoli, R., & Scaramella, R. 2020, A&A, 633, A71 [CrossRef] [EDP Sciences] [Google Scholar]
- Pedregosa, F., Varoquaux, G., Gramfort, A., et al. 2011, J. Mach. Learn. Res., 12, 2825 [Google Scholar]
- Petri, A., Liu, J., Haiman, Z., et al. 2015, Phys. Rev. D, 91 [Google Scholar]
- Planck Collaboration VI. 2020, A&A, 641, A6 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Pokorny, F. T., Goldberg, K., & Kragic, D. 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA), 16 [Google Scholar]
- Pranav, P., Edelsbrunner, H., van de Weygaert, R., et al. 2017, MNRAS, 465, 4281 [Google Scholar]
- Pranav, P., Adler, R. J., Buchert, T., et al. 2019a, A&A, 627, A163 [EDP Sciences] [Google Scholar]
- Pranav, P., van de Weygaert, R., Vegter, G., et al. 2019b, MNRAS, 485, 4167 [Google Scholar]
- Pun, C. S., Xia, K., & Lee, S. X. 2018, ArXiv e-prints [arXiv:1811.00252] [Google Scholar]
- Reininghaus, J., Huber, S., Bauer, U., & Kwitt, R. 2015, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 4741 [Google Scholar]
- Riess, A. G., Casertano, S., Yuan, W., Macri, L. M., & Scolnic, D. 2019, ApJ, 876, 85 [Google Scholar]
- Schirmer, M., Erben, T., Hetterscheidt, M., & Schneider, P. 2007, A&A, 462, 875 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Schneider, P. 1996, MNRAS, 283, 837 [Google Scholar]
- Schneider, P., & Lombardi, M. 2003, A&A, 397, 809 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Schneider, P., Eifler, T., & Krause, E. 2010, A&A, 520, A116 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Seitz, S., & Schneider, P. 2001, A&A, 374, 740 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Sellentin, E., & Heavens, A. F. 2016, MNRAS, 456, L132 [Google Scholar]
- Shan, H., Liu, X., Hildebrandt, H., et al. 2018, MNRAS, 474, 1116 [Google Scholar]
- Sousbie, T. 2011, MNRAS, 414, 350 [NASA ADS] [CrossRef] [Google Scholar]
- Spergel, D., Gehrels, N., Breckinridge, J., et al. 2013, ArXiv e-prints [arXiv:1305.5422] [Google Scholar]
- Taylor, P. L., Kitching, T. D., Alsing, J., et al. 2019, Phys. Rev. D, 100 [Google Scholar]
- Troxel, M. A., MacCrann, N., Zuntz, J., et al. 2018, Phys. Rev. D, 98 [Google Scholar]
- Unruh, S., Schneider, P., Hilbert, S., et al. 2020, A&A, 638, A96 [CrossRef] [EDP Sciences] [Google Scholar]
- van de Weygaert, R., Vegter, G., Edelsbrunner, H., et al. 2013, ArXiv e-prints [arXiv:1306.3640] [Google Scholar]
- van Uitert, E., Joachimi, B., Joudaki, S., et al. 2018, MNRAS, 476, 4662 [Google Scholar]
- Wright, A. H., Hildebrandt, H., Kuijken, K., et al. 2019, A&A, 632, A34 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Wright, A. H., Hildebrandt, H., van den Busch, J. L., et al. 2020, A&A, 640, L14 [CrossRef] [EDP Sciences] [Google Scholar]
- Xu, X., Cisewski-Kehe, J., Green, S. B., & Nagai, D. 2019, Astron. Comput., 27, 34 [Google Scholar]
- Zürcher, D., Fluri, J., Sgier, R., Kacprzak, T., & Refregier, A. 2021, JCAP, 2021, 028 [Google Scholar]
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