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CMB-S4: Forecasting Constraints on Primordial Gravitational Waves

T. Collaboration, :, K. Abazajian, G. Addison, P. Adshead, Z. Ahmed, D. Akerib, A. Ali, S. Allen, D. Alonso, M. Alvarez, M. Amin, A. Anderson, K. Arnold, P. Ashton, C. Baccigalupi, D. Bard, D. Barkats, D. Barron, P. Barry, J. Bartlett, R. Thakur, N. Battaglia, R. Bean, C. Bebek, A. Bender, B. Benson, F. Bianchini, C. Bischoff, L. Bleem, J. Bock, S. Bocquet, K. Boddy, J. Bond, J. Borrill, F. Bouchet, T. Brinckmann, M. Brown, S. Bryan, V. Buza, K. Byrum, C. Caimapo, E. Calabrese, V. Calafut, R. Caldwell, J. Carlstrom, J. Carron, T. Cecil, A. Challinor, C. Chang, Y. Chinone, H. Cho, A. Cooray, W. Coulton, T. Crawford, A. Crites, A. Cukierman, F. Cyr-Racine, T. de Haan, J. Delabrouille, M. Devlin, E. Di Valentino, M. Dierickx, M. Dobbs, S. Duff, J. Dunkley, C. Dvorkin, J. Eimer, T. Elleflot, J. Errard, T. Essinger-Hileman, G. Fabbian, C. Feng, S. Ferraro, J. Filippini, R. Flauger, B. Flaugher, A. Fraisse, A. Frolov, N. Galitzki, P. Gallardo, S. Galli, K. Ganga, M. Gerbino, V. Gluscevic, N. Goeckner-Wald, D. Green, D. Grin, E. Grohs, R. Gualtieri, J. Gudmundsson, I. Gullett, N. Gupta, S. Habib, M. Halpern, N. Halverson, S. Hanany, K. Harrington, M. Hasegawa, M. Hasselfield, M. Hazumi, K. Heitmann, S. Henderson, B. Hensley, C. Hill, J. Hill, R. Hlozek, S. Ho, T. Hoang, G. Holder, W. Holzapfel, J. Hood, J. Hubmayr, K. Huffenberger, H. Hui, K. Irwin, O. Jeong, B. Johnson, W. Jones, J. Kang, K. Karkare, N. Katayama, R. Keskitalo, T. Kisner, L. Knox, B. Koopman, A. Kosowsky, J. Kovac, E. Kovetz, S. Kuhlmann, C. Kuo, A. Kusaka, A. Lähteenmäki, C. Lawrence, A. Lee, A. Lewis, D. Li, E. Linder, M. Loverde, A. Lowitz, P. Lubin, M. Madhavacheril, A. Mantz, G. Marques, F. Matsuda, P. Mauskopf, H. McCarrick, J. McMahon, P. Meerburg, J. Melin, F. Menanteau, J. Meyers, M. Millea, J. Mohr, L. Moncelsi, M. Monzani, T. Mroczkowski, S. Mukherjee, J. Nagy, T. Namikawa, F. Nati, T. Natoli, L. Newburgh, M. Niemack, H. Nishino, B. Nord, V. Novosad, R. O'Brient, S. Padin, S. Palladino, B. Partridge, D. Petravick, E. Pierpaoli, L. Pogosian, K. Prabhu, C. Pryke, G. Puglisi, B. Racine, A. Rahlin, M. Rao, M. Raveri, C. Reichardt, M. Remazeilles, G. Rocha, N. Roe, A. Roy, J. Ruhl, M. Salatino, B. Saliwanchik, E. Schaan, A. Schillaci, B. Schmitt, M. Schmittfull, D. Scott, N. Sehgal, S. Shandera, B. Sherwin, E. Shirokoff, S. Simon, A. Slosar, D. Spergel, T. Germaine, S. Staggs, A. Stark, G. Starkman, R. Stompor, C. Stoughton, A. Suzuki, O. Tajima, G. Teply, K. Thompson, B. Thorne, P. Timbie, M. Tomasi, M. Tristram, G. Tucker, C. Umiltà, A. van Engelen, E. Vavagiakis, J. Vieira, A. Vieregg, K. Wagoner, B. Wallisch, G. Wang, S. Watson, B. Westbrook, N. Whitehorn, E. Wollack, W. Wu, Z. Xu, H. Yang, S. Yasini, V. Yefremenko, K. Yoon, E. Young, C. Yu, и A. Zonca. (2020)cite arxiv:2008.12619Comment: 24 pages, 8 figures, 9 tables, submitted to ApJ. arXiv admin note: text overlap with arXiv:1907.04473.

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Rolf-Walter Briant

Benoît Briand

Kurt Nord

Manfred Nord

Antonie Nord

Другие публикации лиц с тем же именем

DeepMerge: Classifying High-redshift Merging Galaxies with Deep Neural Networks.A. Ciprijanovic, G. Snyder, B. Nord, и J. Peek. CoRR, (2020)CMB-S4: Forecasting Constraints on Primordial Gravitational WavesT. Collaboration, :, K. Abazajian, G. Addison, P. Adshead, Z. Ahmed, D. Akerib, A. Ali, S. Allen, D. Alonso и 227 other автор(ы). (2020)cite arxiv:2008.12619Comment: 24 pages, 8 figures, 9 tables, submitted to ApJ. arXiv admin note: text overlap with arXiv:1907.04473.Strong Lensing Parameter Estimation on Ground-Based Imaging Data Using Simulation-Based InferenceJ. Poh, A. Samudre, A. Ćiprijanović, B. Nord, G. Khullar, D. Tanoglidis, и J. Frieman. (2022)cite arxiv:2211.05836Comment: Accepted to the Workshop on Machine Learning and the Physical Sciences at the 36th Conference on Neural Information Processing Systems 2022 (NeurIPS 2022).Unsupervised Resource Allocation with Graph Neural Networks.M. Cranmer, P. Melchior, и B. Nord. CoRR, (2021)Deep learning insights into cosmological structure formation.L. Lucie-Smith, H. Peiris, A. Pontzen, B. Nord, и J. Thiyagalingam. CoRR, (2020)Deeply uncertain: comparing methods of uncertainty quantification in deep learning algorithms.J. Caldeira, и B. Nord. Mach. Learn. Sci. Technol., 2 (1): 15002 (2021)Machine Learning and CosmologyC. Dvorkin, S. Mishra-Sharma, B. Nord, V. Villar, C. Avestruz, K. Bechtol, A. Ćiprijanović, A. Connolly, L. Garrison, G. Narayan и 1 other автор(ы). (2022)cite arxiv:2203.08056Comment: Contribution to Snowmass 2021. 32 pages.Interpretable Uncertainty Quantification in AI for HEP.T. Chen, B. Dey, A. Ghosh, M. Kagan, B. Nord, и N. Ramachandra. CoRR, (2022)Domain adaptation techniques for improved cross-domain study of galaxy mergers.A. Ciprijanovic, D. Kafkes, S. Jenkins, K. Downey, G. Perdue, S. Madireddy, T. Johnston, и B. Nord. CoRR, (2020)Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers.D. Huppenkothen, M. Ntampaka, M. Ho, M. Fouesneau, B. Nord, J. Peek, M. Walmsley, J. Wu, C. Avestruz, T. Buck и 12 other автор(ы). CoRR, (2023)

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