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The Seventh Data Release of the Sloan Digital Sky Survey

K. Abazajian, J. Adelman-McCarthy, M. Agüeros, S. Allam, C. Prieto, D. An, K. Anderson, S. Anderson, J. Annis, N. Bahcall, C. Bailer-Jones, J. Barentine, B. Bassett, A. Becker, T. Beers, E. Bell, V. Belokurov, A. Berlind, E. Berman, M. Bernardi, S. Bickerton, D. Bizyaev, J. Blakeslee, M. Blanton, J. Bochanski, W. Boroski, H. Brewington, J. Brinchmann, J. Brinkmann, R. Brunner, T. Budavári, L. Carey, S. Carliles, M. Carr, F. Castander, D. Cinabro, A. Connolly, I. Csabai, C. Cunha, P. Czarapata, J. Davenport, E. de Haas, B. Dilday, M. Doi, D. Eisenstein, M. Evans, N. Evans, X. Fan, S. Friedman, J. Frieman, M. Fukugita, B. Gänsicke, E. Gates, B. Gillespie, G. Gilmore, B. Gonzalez, C. Gonzalez, E. Grebel, J. Gunn, Z. Györy, P. Hall, P. Harding, F. Harris, M. Harvanek, S. Hawley, J. Hayes, T. Heckman, J. Hendry, G. Hennessy, R. Hindsley, J. Hoblitt, C. Hogan, D. Hogg, J. Holtzman, J. Hyde, S. ichi Ichikawa, T. Ichikawa, M. Im, Ž. Ivezić, S. Jester, L. Jiang, J. Johnson, A. Jorgensen, M. Jurić, S. Kent, R. Kessler, S. Kleinman, G. Knapp, K. Konishi, R. Kron, J. Krzesinski, N. Kuropatkin, H. Lampeitl, S. Lebedeva, M. Lee, Y. Lee, R. Leger, S. Lépine, N. Li, M. Lima, H. Lin, D. Long, C. Loomis, J. Loveday, R. Lupton, E. Magnier, O. Malanushenko, V. Malanushenko, R. Mandelbaum, B. Margon, J. Marriner, D. Martínez-Delgado, T. Matsubara, P. McGehee, T. McKay, A. Meiksin, H. Morrison, F. Mullally, J. Munn, T. Murphy, T. Nash, A. Nebot, E. Jr, H. Newberg, P. Newman, R. Nichol, T. Nicinski, M. Nieto-Santisteban, A. Nitta, S. Okamura, D. Oravetz, J. Ostriker, R. Owen, N. Padmanabhan, K. Pan, C. Park, G. Pauls, J. Jr, W. Percival, J. Pier, A. Pope, D. Pourbaix, P. Price, N. Purger, T. Quinn, M. Raddick, P. Fiorentin, G. Richards, M. Richmond, A. Riess, H. Rix, C. Rockosi, M. Sako, D. Schlegel, D. Schneider, R. Scholz, M. Schreiber, A. Schwope, U. Seljak, B. Sesar, E. Sheldon, K. Shimasaku, V. Sibley, A. Simmons, T. Sivarani, J. Smith, M. Smith, V. Smolčić, S. Snedden, A. Stebbins, M. Steinmetz, C. Stoughton, M. Strauss, M. SubbaRao, Y. Suto, A. Szalay, I. Szapudi, P. Szkody, M. Tanaka, M. Tegmark, L. Teodoro, A. Thakar, C. Tremonti, D. Tucker, A. Uomoto, D. Berk, J. Vandenberg, S. Vidrih, M. Vogeley, W. Voges, N. Vogt, Y. Wadadekar, S. Watters, D. Weinberg, A. West, S. White, B. Wilhite, A. Wonders, B. Yanny, D. Yocum, D. York, I. Zehavi, S. Zibetti, и D. Zucker. The Astrophysical Journal Supplement Series, 182 (2): 543 (2009)

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The Seventh Data Release of the Sloan Digital Sky SurveyK. Abazajian, J. Adelman-McCarthy, M. Agüeros, S. Allam, C. Prieto, D. An, K. Anderson, S. Anderson, J. Annis, N. Bahcall и 194 other автор(ы). The Astrophysical Journal Supplement Series, 182 (2): 543 (2009)CosmicRIM : Reconstructing Early Universe by Combining Differentiable Simulations with Recurrent Inference MachinesC. Modi, F. Lanusse, U. Seljak, D. Spergel, и L. Perreault-Levasseur. (2021)cite arxiv:2104.12864Comment: Published as a workshop paper at ICLR 2021 SimDL Workshop.Quantifying the Line-of-Sight Halo Contribution to the Dark Matter Convergence Power Spectrum from Strong Gravitational LensesA. Şengül, A. Tsang, A. Rivero, C. Dvorkin, H. Zhu, и U. Seljak. (2020)cite arxiv:2006.07383Comment: 24 pages, 8 figures.Deterministic Langevin Monte Carlo with Normalizing Flows for Bayesian Inference.R. Grumitt, B. Dai, и U. Seljak. NeurIPS, (2022)Confirmation of general relativity on large scales from weak lensing and galaxy velocitiesR. Reyes, R. Mandelbaum, U. Seljak, T. Baldauf, J. Gunn, L. Lombriser, и R. Smith. Nature, 7286 (464): 256--258 (марта 2010)Unsupervised in-distribution anomaly detection of new physics through conditional density estimation.G. Stein, U. Seljak, и B. Dai. CoRR, (2020)A Probabilistic Autoencoder for Type Ia Supernovae Spectral Time Series.G. Stein, U. Seljak, V. Böhm, G. Aldering, P. Antilogus, C. Aragon, S. Bailey, C. Baltay, S. Bongard, K. Boone и 30 other автор(ы). CoRR, (2022)Deterministic Langevin Unconstrained Optimization with Normalizing Flows.J. Sullivan, и U. Seljak. CoRR, (2023)pocoMC: A Python package for accelerated Bayesian inference in astronomy and cosmology.M. Karamanis, D. Nabergoj, F. Beutler, J. Peacock, и U. Seljak. J. Open Source Softw., 7 (79): 4634 (ноября 2022)Persistent Sampling: Unleashing the Potential of Sequential Monte Carlo.M. Karamanis, и U. Seljak. CoRR, (2024)

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