The illustris simulation: Public data release

Astronomy and Computing

Volumn 13, Issue , 2015, Pages 12-37

  Nelson, D ^a   Pillepich, A ^a   Genel, S ^a,b   Vogelsberger, M ^c   Springel, V ^d,e   Torrey, P ^c,g   Rodriguez Gomez, V ^a   Sijacki, D ^f   Snyder, G F ^h   Griffen, B ^c   Marinacci, F ^c   Blecha, L ^j   Sales, L ⁱ   Xu, D ^d   Hernquist, L ^a  

^a HARVARD SMITHSONIAN CENTER FOR ASTROPHYSICS   (United States)

^b Columbia University ^*  (United States)

^c MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^d HEIDELBERG INSTITUTE FOR THEORETICAL STUDIES   (Germany)

^e UNIVERSITY OF HEIDELBERG   (Germany)

^f UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^g CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

^h AURA for the European Space Agency   (United States)

ⁱ UNIVERSITY OF CALIFORNIA   (United States)

^j UNIVERSITY OF MARYLAND   (United States)

more..

Author keywords

Data access methods; Data management systems; Galaxies: evolution; Galaxies: formation; Methods: data analysis; Methods: numerical

Indexed keywords

COSMOLOGY; DATA HANDLING; GALAXIES; MATLAB; NUMERICAL METHODS; STARS; TREES (MATHEMATICS);

DATA ACCESS; DATA MANAGEMENT SYSTEM; GALAXIES: EVOLUTIONS; GALAXIES: FORMATION; METHODS: NUMERICALS; METHODS:DATA ANALYSIS;

INFORMATION MANAGEMENT;

EID: 84943549899     PISSN: 22131337     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ascom.2015.09.003     Document Type: Article

References (119)

1. Barro G., et al. CANDELS: The progenitors of compact quiescent galaxies at z ~ 2. Astrophys. J. 2013, 765:104. arxiv:abs/1206.5000, 10.1088/0004-637X/765/2/104.
2. Bauer, A., Springel, V., Vogelsberger, M., Genel, S., Torrey, P., Sijacki, D., Nelson, D., Hernquist, L., 2015. Hydrogen reionization in the illustris universe. ArXiv e-prints , . http://dx.doi.org/10.1093/mnras/stv1893.
3. Behroozi P.S., Wechsler R.H., Wu H.Y., Busha M.T., Klypin A.A., Primack J.R. Gravitationally consistent halo catalogs and merger trees for precision cosmology. Astrophys. J. 2013, 763:18. arxiv:abs/1110.4370, 10.1088/0004-637X/763/1/18.
4. Bernyk, M., et al. 2014. The theoretical astrophysical observatory: Cloud-based mock galaxy catalogues. ArXiv e-prints . arxiv:abs/1403.5270.
5. Bertin E., Pillay R., Marmo C. Web-based visualization of very large scientific astronomy imagery. Astron. Comput. 2015, 10:43-53. arxiv:abs/1403.6025, 10.1016/j.ascom.2014.12.006.
6. Bird S., Haehnelt M., Neeleman M., Genel S., Vogelsberger M., Hernquist L. Reproducing the kinematics of damped Lyman α systems. Mon. Not. R. Astron. Soc. 2015, 447:1834-1846. arxiv:abs/1407.7858, 10.1093/mnras/stu2542.
7. Bird S., Vogelsberger M., Haehnelt M., Sijacki D., Genel S., Torrey P., Springel V., Hernquist L. Damped Lyman α absorbers as a probe of stellar feedback. Mon. Not. R. Astron. Soc. 2014, 445:2313-2324. arxiv:abs/1405.3994, 10.1093/mnras/stu1923.
8. Bird S., Vogelsberger M., Sijacki D., Zaldarriaga M., Springel V., Hernquist L. Moving-mesh cosmology: properties of neutral hydrogen in absorption. Mon. Not. R. Astron. Soc. 2013, 429:3341-3352. arxiv:abs/1209.2118, 10.1093/mnras/sts590.
9. Blecha, L., et al. 2015. Recoiling black holes: prospects for detection and implications of spin alignment. ArXiv e-prints . arxiv:abs/1508.01524.
10. Bogdan, A., et al. 2015. Hot gaseous coronae around spiral galaxies: probing the illustris simulation. ArXiv e-prints . arxiv:abs/1503.01107.
11. Boylan-Kolchin M., Springel V., White S.D.M., Jenkins A., Lemson G. Resolving cosmic structure formation with the Millennium-II simulation. Mon. Not. R. Astron. Soc. 2009, 398:1150-1164. arxiv:abs/0903.3041, 10.1111/j.1365-2966.2009.15191.x.
12. Brammer G.B., et al. 3D-HST: A Wide-field grism spectroscopic survey with the hubble space telescope. Astrophys. J. Suppl. Ser. 2012, 200:13. arxiv:abs/1204.2829, 10.1088/0067-0049/200/2/13.
13. Bruzual G., Charlot S. Stellar population synthesis at the resolution of 2003. Mon. Not. R. Astron. Soc. 2003, 344:1000-1028. arxiv:astro-ph/0309134, 10.1046/j.1365-8711.2003.06897.x.
14. Bryan G.L., Norman M.L. Statistical properties of X-ray clusters: Analytic and numerical comparisons. Astrophys. J. 1998, 495:80-99. arxiv:astro-ph/9710107, 10.1086/305262.
15. Buser R. A systematic investigation of multicolor photometric systems. I - The UBV, RGU and UVBY systems. II - The transformations between the UBV and RGU systems. A&A 1978, 62:411-430.
16. Byna S., et al. Parallel i/o, analysis, and visualization of a trillion particle simulation. Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis 2012, 59:1-59:12. IEEE Computer Society Press, Los Alamitos, CA, USA, URL: http://dl.acm.org/citation.cfm?id=2388996.2389077.
17. Cen R. A hydrodynamic approach to cosmology - methodology. Astrophys. J. Suppl. Ser. 1992, 78:341-364. 10.1086/191630.
18. Chabrier G. Galactic stellar and substellar initial mass function. Publ. Astron. Soc. Pac. 2003, 115:763-795. arxiv:astro-ph/0304382, 10.1086/376392.
19. Chou J., Wu K., Prabhat Fastquery: A parallel indexing system for scientific data. 2011 IEEE International Conference on Cluster Computing (CLUSTER) 2011, 455-464. 10.1109/CLUSTER.2011.86.
20. Ciotti L., Ostriker J.P. Radiative feedback from massive black holes in elliptical galaxies: AGN flaring and central starburst fueled by recycled gas. Astrophys. J. 2007, 665:1038-1056. arxiv:astro-ph/0703057, 10.1086/519833.
21. Crocce M., Fosalba P., Castander F.J., Gaztañaga E. Simulating the universe with MICE: the abundance of massive clusters. Mon. Not. R. Astron. Soc. 2010, 403:1353-1367. arxiv:abs/0907.0019, 10.1111/j.1365-2966.2009.16194.x.
22. Dahlen T., et al. High-redshift supernova rates. Astrophys. J. 2004, 613:189-199. arxiv:astro-ph/0406547, 10.1086/422899.
23. Davis M., Efstathiou G., Frenk C.S., White S.D.M. The evolution of large-scale structure in a universe dominated by cold dark matter. Astrophys. J. 1985, 292:371-394. 10.1086/163168.
24. Davis M., et al. Science objectives and early results of the DEEP2 redshift survey. Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series 2003, vol. 4834:161-172. arxiv:astro-ph/0209419, 10.1117/12.457897. P. Guhathakurta (Ed.).
25. De Lucia G., Blaizot J. The hierarchical formation of the brightest cluster galaxies. Mon. Not. R. Astron. Soc. 2007, 375:2-14. arxiv:astro-ph/0606519, 10.1111/j.1365-2966.2006.11287.x.
26. Di Matteo T., Colberg J., Springel V., Hernquist L., Sijacki D. Direct cosmological simulations of the growth of black holes and galaxies. Astrophys. J. 2008, 676:33-53. arxiv:abs/0705.2269, 10.1086/524921.
27. Di Matteo T., Springel V., Hernquist L. Energy input from quasars regulates the growth and activity of black holes and their host galaxies. Nature 2005, 433:604-607. arxiv:astro-ph/0502199, 10.1038/nature03335.
28. Dubois Y., et al. Dancing in the dark: galactic properties trace spin swings along the cosmic web. Mon. Not. R. Astron. Soc. 2014, 444:1453-1468. arxiv:abs/1402.1165, 10.1093/mnras/stu1227.
29. Faucher-Giguère C.A., Lidz A., Zaldarriaga M., Hernquist L. A new calculation of the ionizing background spectrum and the effects of He II reionization. Astrophys. J. 2009, 703:1416-1443. arxiv:abs/0901.4554, 10.1088/0004-637X/703/2/1416.
30. Ferland G.J., Korista K.T., Verner D.A., Ferguson J.W., Kingdon J.B., Verner E.M. CLOUDY 90: Numerical simulation of plasmas and their spectra. Publ. Astron. Soc. Pac. 1998, 110:761-778. 10.1086/316190.
31. Fielding R.T. Architectural Styles and the Design of Network-based Software Architectures 2000, (Ph.D. thesis), AAI9980887.
32. Genel, S., Fall, S.M., Hernquist, L., Vogelsberger, M., Snyder, G.F., Rodriguez-Gomez, V., Sijacki, D., Springel, V., 2015. Galactic angular momentum in the illustris simulation: Feedback and the hubble sequence. ArXiv e-prints . arxiv:abs/1503.01117.
33. Genel S., Vogelsberger M., Nelson D., Sijacki D., Springel V., Hernquist L. Following the flow: tracer particles in astrophysical fluid simulations. Mon. Not. R. Astron. Soc. 2013, 435:1426-1442. arxiv:abs/1305.2195, 10.1093/mnras/stt1383.
34. Genel S., et al. Introducing the Illustris project: the evolution of galaxy populations across cosmic time. Mon. Not. R. Astron. Soc. 2014, 445:175-200. arxiv:abs/1405.3749, 10.1093/mnras/stu1654.
35. Gray, J., Szalay, A.S., Thakar, A.R., Kunszt, P.Z., Stoughton, C., Slutz, D., vandenBerg, J., 2002. Data mining the SDSS skyserver database. eprint arXiv:cs/0202014 . arxiv:cs/0202014.
36. Greggio L. The rates of type Ia supernovae. I. Analytical formulations. A%26A 2005, 441:1055-1078. arxiv:astro-ph/0504376, 10.1051/0004-6361:20052926.
37. Grogin N.A., et al. CANDELS: The cosmic assembly near-infrared deep extragalactic legacy survey. Astrophys. J. Suppl. Ser. 2011, 197:35. arxiv:abs/1105.3753, 10.1088/0067-0049/197/2/35.
38. Guo Q., et al. From dwarf spheroidals to cD galaxies: simulating the galaxy population in a ΛCDM cosmology. Mon. Not. R. Astron. Soc. 2011, 413:101-131. arxiv:abs/1006.0106, 10.1111/j.1365-2966.2010.18114.x.
39. Hahn O., Teyssier R., Carollo C.M. The large-scale orientations of disc galaxies. Mon. Not. R. Astron. Soc. 2010, 405:274-290. arxiv:abs/1002.1964, 10.1111/j.1365-2966.2010.16494.x.
40. Hernquist L., Katz N. TREESPH - A unification of SPH with the hierarchical tree method. Astrophys. J. Suppl. Ser. 1989, 70:419-446. 10.1086/191344.
41. Karakas A.I. Updated stellar yields from asymptotic giant branch models. Mon. Not. R. Astron. Soc. 2010, 403:1413-1425. arxiv:abs/0912.2142, 10.1111/j.1365-2966.2009.16198.x.
42. Katz N., Hernquist L., Weinberg D.H. Galaxies and gas in a cold dark matter universe. Astrophys. J. Lett. 1992, 399:L109-L112. 10.1086/186619.
43. Katz N., Weinberg D.H., Hernquist L. Cosmological Simulations with TreeSPH. Astrophys. J. Suppl. Ser. 1996, 105:19. arxiv:astro-ph/9509107, 10.1086/192305.
44. Kereš D., Vogelsberger M., Sijacki D., Springel V., Hernquist L. Moving-mesh cosmology: characteristics of galaxies and haloes. Mon. Not. R. Astron. Soc. 2012, 425:2027-2048. arxiv:abs/1109.4638, 10.1111/j.1365-2966.2012.21548.x.
45. Khandai, N., Di Matteo, T., Croft, R., Wilkins, S.M., Feng, Y., Tucker, E., DeGraf, C., Liu, M.S., 2014. The MassiveBlack-II simulation: The evolution of halos and galaxies to z~0. preprint, (arXiv:1402.0888) . arxiv:abs/1402.0888.
46. Kim J., Park C., Rossi G., Lee S.M., Gott J.R. The new horizon run cosmological N-body simulations. J. Korean Astron. Soc. 2011, 44:217-234. arxiv:abs/1112.1754, 10.5303/JKAS.2011.44.6.217.
47. Klypin A.A., Trujillo-Gomez S., Primack J. Dark matter halos in the standard cosmological model: Results from the Bolshoi simulation. Astrophys. J. 2011, 740:102. arxiv:abs/1002.3660, 10.1088/0004-637X/740/2/102.
48. Lemson G., Budavári T., Szalay A. Implementing a general spatial indexing library for relational databases of large numerical simulations. Proceedings of the 23rd International Conference on Scientific and Statistical Database Management 2011, 509-526. Springer-Verlag, Berlin, Heidelberg, URL: http://dl.acm.org/citation.cfm?id=2032397.2032441.
49. Lemson G., Springel V. Cosmological simulations in a relational database: Modelling and storing merger trees. Astronomical Society of the Pacific Conference Series 2006, vol. 351:212. C. Gabriel, C. Arviset, D. Ponz, S. Enrique (Eds.).
50. Lemson, G., Virgo Consortium, t., 2006. Halo and Galaxy Formation Histories from the Millennium Simulation: Public release of a VO-oriented and SQL-queryable database for studying the evolution of galaxies in the LambdaCDM cosmogony. ArXiv Astrophysics e-prints . arxiv:astro-ph/0608019.
51. Lemson G., Zuther J. Theory in the virtual observatory. Mem. Soc. Astron. Ital. 2009, 80:342.
52. Lemson, G., et al. 2014. IVOA recommendation: Simulation data model. ArXiv e-prints . arxiv:abs/1402.4744.
53. Li N., Thakar A.R. Casjobs and mydb: A batch query workbench. Comput. Sci. Eng. 2008, 10:18-29. http://doi.ieeecomputersociety.org/10.1109/MCSE.2008.6.
54. Lotz J.M., Primack J., Madau P. A new nonparametric approach to galaxy morphological classification. Astron. J. 2004, 128:163-182. arxiv:astro-ph/0311352, 10.1086/421849.
55. LSST Science Collaboration, 2009. LSST Science Book, Version 2.0. ArXiv e-prints . arxiv:abs/0912.0201.
56. Maoz D., Mannucci F., Brandt T.D., et al. The delay-time distribution of Type Ia supernovae from Sloan II. Mon. Not. R. Astron. Soc. 2012, 426:3282-3294. arxiv:abs/1206.0465, 10.1111/j.1365-2966.2012.21871.x.
57. Marinacci F., Pakmor R., Springel V. The formation of disc galaxies in high-resolution moving-mesh cosmological simulations. Mon. Not. R. Astron. Soc. 2014, 437:1750-1775. arxiv:abs/1305.5360, 10.1093/mnras/stt2003.
58. Matteucci F., Panagia N., Pipino A., Mannucci F., Recchi S., Della Valle M. A new formulation of the Type Ia supernova rate and its consequences on galactic chemical evolution. Mon. Not. R. Astron. Soc. 2006, 372:265-275. arxiv:astro-ph/0607504, 10.1111/j.1365-2966.2006.10848.x.
59. Nelson D., Genel S., Vogelsberger M., Springel V., Sijacki D., Torrey P., Hernquist L. The impact of feedback on cosmological gas accretion. Mon. Not. R. Astron. Soc. 2015, 448:59-74. 10.1093/mnras/stv017.
60. Nelson D., Vogelsberger M., Genel S., Sijacki D., Kereš D., Springel V., Hernquist L. Moving mesh cosmology: tracing cosmological gas accretion. Mon. Not. R. Astron. Soc. 2013, 429:3353-3370. arxiv:abs/1301.6753, 10.1093/mnras/sts595.
61. Okamoto T., Frenk C.S., Jenkins A., Theuns T. The properties of satellite galaxies in simulations of galaxy formation. Mon. Not. R. Astron. Soc. 2010, 406:208-222. arxiv:abs/0909.0265, 10.1111/j.1365-2966.2010.16690.x.
62. Oppenheimer B.D., Davé R. Cosmological simulations of intergalactic medium enrichment from galactic outflows. Mon. Not. R. Astron. Soc. 2006, 373:1265-1292. arxiv:astro-ph/0605651, 10.1111/j.1365-2966.2006.10989.x.
63. Oppenheimer B.D., Davé R. Mass, metal, and energy feedback in cosmological simulations. Mon. Not. R. Astron. Soc. 2008, 387:577-600. arxiv:abs/0712.1827, 10.1111/j.1365-2966.2008.13280.x.
64. Overzier R., Lemson G., Angulo R.E., Bertin E., Blaizot J., Henriques B.M.B., Marleau G.D., White S.D.M. The millennium run observatory: first light. Mon. Not. R. Astron. Soc. 2013, 428:778-803. arxiv:abs/1206.6923, 10.1093/mnras/sts076.
65. Pérez F., Granger B.E. IPython: a system for interactive scientific computing. Comput. Sci. Eng. 2007, 9:21-29. URL: http://ipython.org. 10.1109/MCSE.2007.53.
66. Pillepich A., et al. Halo mass and assembly history exposed in the faint outskirts: the stellar and dark matter haloes of Illustris galaxies. Mon. Not. R. Astron. Soc. 2014, 444:237-249. arxiv:abs/1406.1174, 10.1093/mnras/stu1408.
67. Portinari L., Chiosi C., Bressan A. Galactic chemical enrichment with new metallicity dependent stellar yields. A%26A 1998, 334:505-539. arxiv:astro-ph/9711337.
68. Press W.H., Schechter P. Formation of galaxies and clusters of galaxies by self-similar gravitational condensation. Astrophys. J. 1974, 187:425-438. 10.1086/152650.
69. Puchwein E., Springel V. Shaping the galaxy stellar mass function with supernova- and AGN-driven winds. Mon. Not. R. Astron. Soc. 2013, 428:2966-2979. arxiv:abs/1205.2694, 10.1093/mnras/sts243.
70. Rahmati A., Pawlik A.H., Raičevic M., Schaye J. On the evolution of the H I column density distribution in cosmological simulations. Mon. Not. R. Astron. Soc. 2013, 430:2427-2445. arxiv:abs/1210.7808, 10.1093/mnras/stt066.
71. Rahmati, A., Schaye, J., Bower, R.G., Crain, R.A., Furlong, M., Schaller, M., Theuns, T., 2015. The distribution of neutral hydrogen around high-redshift galaxies and quasars in the EAGLE simulation. ArXiv e-prints , . http://dx.doi.org/10.1093/mnras/stv1414.
72. Rasera Y., Alimi J.M., Courtin J., Roy F., Corasaniti P.S., Füzfa A., Boucher V. Introducing the dark energy universe simulation series (DEUSS). American Institute of Physics Conference Series 2010, vol. 1241:1134-1139. arxiv:abs/1002.4950, 10.1063/1.3462610. J.M. Alimi, A. Fuözfa (Eds.).
73. Riebe K., et al. The MultiDark database: Release of the Bolshoi and MultiDark cosmological simulations. Astronomische Nachrichten 2013, 334:691-708. 10.1002/asna.201211900.
74. Rodriguez-Gomez, V., et al. 2015. The merger rate of galaxies in the Illustris Simulation: a comparison with observations and semi-empirical models. ArXiv e-prints , . http://dx.doi.org/10.1093/mnras/stv264.
75. Sales L.V., et al. The colours of satellite galaxies in the Illustris simulation. Mon. Not. R. Astron. Soc. 2015, 447:L6-L10. arxiv:abs/1410.7400, 10.1093/mnrasl/slu173.
76. Sazonov S.Y., Ostriker J.P., Ciotti L., Sunyaev R.A. Radiative feedback from quasars and the growth of massive black holes in stellar spheroids. Mon. Not. R. Astron. Soc. 2005, 358:168-180. arxiv:astro-ph/0411086, 10.1111/j.1365-2966.2005.08763.x.
77. Schaal K., Springel V. Shock finding on a moving mesh - I. Shock statistics in non-radiative cosmological simulations. Mon. Not. R. Astron. Soc. 2015, 446:3992-4007. arxiv:abs/1407.4117, 10.1093/mnras/stu2386.
78. Schaller, M., et al. 2014. The masses and density profiles of halos in a LCDM galaxy formation simulation. ArXiv e-prints , . http://dx.doi.org/10.1093/mnras/stv1067.
79. Schaye J., et al. The EAGLE project: simulating the evolution and assembly of galaxies and their environments. Mon. Not. R. Astron. Soc. 2015, 446:521-554. arxiv:abs/1407.7040, 10.1093/mnras/stu2058.
80. Sijacki D., Springel V., Di Matteo T., Hernquist L. A unified model for AGN feedback in cosmological simulations of structure formation. Mon. Not. R. Astron. Soc. 2007, 380:877-900. arxiv:abs/0705.2238, 10.1111/j.1365-2966.2007.12153.x.
81. Sijacki D., Springel V., Haehnelt M.G. Growing the first bright quasars in cosmological simulations of structure formation. Mon. Not. R. Astron. Soc. 2009, 400:100-122. arxiv:abs/0905.1689, 10.1111/j.1365-2966.2009.15452.x.
82. Sijacki, D., Vogelsberger, M., Genel, S., Springel, V., Torrey, P., Snyder, G., Nelson, D., Hernquist, L., 2014. The Illustris simulation: Evolving population of black holes across cosmic time. ArXiv e-prints , . http://dx.doi.org/10.1093/mnras/stv1340.
83. Sijacki D., Vogelsberger M., Kereš D., Springel V., Hernquist L. Moving mesh cosmology: the hydrodynamics of galaxy formation. Mon. Not. R. Astron. Soc. 2012, 424:2999-3027. arxiv:abs/1109.3468, 10.1111/j.1365-2966.2012.21466.x.
84. Skillman, S.W., Warren, M.S., Turk, M.J., Wechsler, R.H., Holz, D.E., Sutter, P.M., 2014. Dark sky simulations: Early data release. ArXiv e-prints . arxiv:abs/1407.2600.
85. Smith B., Sigurdsson S., Abel T. Metal cooling in simulations of cosmic structure formation. Mon. Not. R. Astron. Soc. 2008, 385:1443-1454. arxiv:abs/0706.0754, 10.1111/j.1365-2966.2008.12922.x.
86. Snyder, G.F., et al. 2015. Galaxy morphology and star formation in the illustris simulation at z=0. ArXiv e-prints . arxiv:abs/1502.07747.
87. Sparre M., et al. The star formation main sequence and stellar mass assembly of galaxies in the Illustris simulation. Mon. Not. R. Astron. Soc. 2015, 447:3548-3563. arxiv:abs/1409.0009, 10.1093/mnras/stu2713.
88. Springel V. The cosmological simulation code GADGET-2. Mon. Not. R. Astron. Soc. 2005, 364:1105-1134. arxiv:astro-ph/0505010, 10.1111/j.1365-2966.2005.09655.x.
89. Springel V. E pur si muove: Galilean-invariant cosmological hydrodynamical simulations on a moving mesh. Mon. Not. R. Astron. Soc. 2010, 401:791-851. arxiv:abs/0901.4107, 10.1111/j.1365-2966.2009.15715.x.
90. Springel V., Di Matteo T., Hernquist L. Modelling feedback from stars and black holes in galaxy mergers. Mon. Not. R. Astron. Soc. 2005, 361:776-794. arxiv:astro-ph/0411108, 10.1111/j.1365-2966.2005.09238.x.
91. Springel V., Hernquist L. Cosmological smoothed particle hydrodynamics simulations: a hybrid multiphase model for star formation. Mon. Not. R. Astron. Soc. 2003, 339:289-311. arxiv:astro-ph/0206393, 10.1046/j.1365-8711.2003.06206.x.
92. Springel V., White S.D.M., Tormen G., Kauffmann G. Populating a cluster of galaxies - I. Results at [formmu2]z=0. Mon. Not. R. Astron. Soc. 2001, 328:726-750. arxiv:astro-ph/0012055, 10.1046/j.1365-8711.2001.04912.x.
93. Springel V., Yoshida N., White S.D.M. GADGET: a code for collisionless and gasdynamical cosmological simulations. New Astron. 2001, 6:79-117. arxiv:astro-ph/0003162, 10.1016/S1384-1076(01)00042-2.
94. Springel V., et al. Simulations of the formation, evolution and clustering of galaxies and quasars. Nature 2005, 435:629-636. arxiv:astro-ph/0504097, 10.1038/nature03597.
95. Springel V., et al. The Aquarius Project: the subhaloes of galactic haloes. Mon. Not. R. Astron. Soc. 2008, 391:1685-1711. arxiv:abs/0809.0898, 10.1111/j.1365-2966.2008.14066.x.
96. Srisawat C., et al. Sussing merger trees: The merger trees comparison project. Mon. Not. R. Astron. Soc. 2013, 436:150-162. arxiv:abs/1307.3577, 10.1093/mnras/stt1545.
97. Stoughton C., et al. Sloan digital sky survey: Early data release. Astron. J. 2002, 123:485-548. 10.1086/324741.
98. Suresh, J., Bird, S., Vogelsberger, M., Genel, S., Torrey, P., Sijacki, D., Springel, V., Hernquist, L., 2015. The impact of galactic feedback on the circumgalactic medium. Preprint, (arXiv:1501.02267) , . http://dx.doi.org/10.1093/mnras/stu2762.
99. Szalay, A.S., Gray, J., Thakar, A.R., Kunszt, P.Z., Malik, T., Raddick, J., Stoughton, C., vandenBerg, J., 2002a. The SDSS SkyServer: Public access to the sloan digital sky server data. Eprint arXiv:cs/0202013 . arxiv:cs/0202013.
100. Szalay A.S., Gray J., VandenBerg J. Petabyte scale data mining: Dream or reality?. Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series 2002, vol. 4836:333-338. arxiv:cs/0208013, 10.1117/12.461427. J.A. Tyson, S. Wolff (Eds.).
101. Szalay A.S., Kunszt P.Z., Thakar A.R., Gray J., Slutz D. The sloan digital sky survey and its archive. Astronomical Society of the Pacific Conference Series 2000, vol. 216:405. arxiv:astro-ph/9912382, N. Manset, C. Veillet, D. Crabtree (Eds.).
102. The Dark Energy Survey Collaboration, 2005. The Dark Energy Survey. ArXiv Astrophysics e-prints . arxiv:astro-ph/0510346.
103. Thielemann F.-K., et al. Nuclear cross sections, nuclear structure and stellar nucleosynthesis. Nucl. Phys. A 2003, 718:139-146. 10.1016/S0375-9474(03)00704-8.
104. Torrey P., Vogelsberger M., Genel S., Sijacki D., Springel V., Hernquist L. A model for cosmological simulations of galaxy formation physics: multi-epoch validation. Mon. Not. R. Astron. Soc. 2014, 438:1985-2004. arxiv:abs/1305.4931, 10.1093/mnras/stt2295.
105. Torrey P., Vogelsberger M., Sijacki D., Springel V., Hernquist L. Moving-mesh cosmology: properties of gas discs. Mon. Not. R. Astron. Soc. 2012, 427:2224-2238. arxiv:abs/1110.5635, 10.1111/j.1365-2966.2012.22082.x.
106. Torrey P., et al. Synthetic galaxy images and spectra from the Illustris simulation. Mon. Not. R. Astron. Soc. 2015, 447:2753-2771. arxiv:abs/1411.3717, 10.1093/mnras/stu2592.
107. Travaglio C., Hillebrandt W., Reinecke M., Thielemann F.K. Nucleosynthesis in multi-dimensional SN Ia explosions. A%26A 2004, 425:1029-1040. arxiv:astro-ph/0406281, 10.1051/0004-6361:20041108.
108. Vogelsberger M., Genel S., Sijacki D., Torrey P., Springel V., Hernquist L. A model for cosmological simulations of galaxy formation physics. Mon. Not. R. Astron. Soc. 2013, 436:3031-3067. arxiv:abs/1305.2913, 10.1093/mnras/stt1789.
109. Vogelsberger M., et al. Properties of galaxies reproduced by a hydrodynamic simulation. Nature 2014, 509:177-182. arxiv:abs/1405.1418, 10.1038/nature13316.
110. Vogelsberger M., et al. Introducing the Illustris Project: simulating the coevolution of dark and visible matter in the Universe. Mon. Not. R. Astron. Soc. 2014, 444:1518-1547. arxiv:abs/1405.2921, 10.1093/mnras/stu1536.
111. Vogelsberger M., Sijacki D., Kereš D., Springel V., Hernquist L. Moving mesh cosmology: numerical techniques and global statistics. Mon. Not. R. Astron. Soc. 2012, 425:3024-3057. arxiv:abs/1109.1281, 10.1111/j.1365-2966.2012.21590.x.
112. Wang Y., Su Y., Agrawal G. Supporting a Light-Weight Data Management Layer over HDF5. Cluster, Cloud and Grid Computing (CCGrid) 2013, vol. 2013:335-342. 10.1109/CCGrid.2013.9.
113. Wellons S., et al. The formation of massive, compact galaxies at z=2 in the Illustris simulation. Mon. Not. R. Astron. Soc. 2015, 449:361-372. arxiv:abs/1411.0667, 10.1093/mnras/stv303.
114. Wiersma R.P.C., Schaye J., Smith B.D. The effect of photoionization on the cooling rates of enriched, astrophysical plasmas. Mon. Not. R. Astron. Soc. 2009, 393:99-107. arxiv:abs/0807.3748, 10.1111/j.1365-2966.2008.14191.x.
115. Wiersma R.P.C., Schaye J., Theuns T., Dalla Vecchia C., Tornatore L. Chemical enrichment in cosmological, smoothed particle hydrodynamics simulations. Mon. Not. R. Astron. Soc. 2009, 399:574-600. arxiv:abs/0902.1535, 10.1111/j.1365-2966.2009.15331.x.
116. Xu, D., Sluse, D., Schneider, P., Springel, V., Vogelsberger, M., Nelson, D., Hernquist, L., 2015. Lens galaxies in the Illustris simulation: power-law models and the bias of the Hubble constant from time-delays. ArXiv e-prints . arxiv:abs/1507.07937.
117. Yepes G., Kates R., Khokhlov A., Klypin A. Hydrodynamical simulations of galaxy formation: effects of supernova feedback. Mon. Not. R. Astron. Soc. 1997, 284:235-256. arxiv:astro-ph/9605182.
118. York D.G., et al. The sloan digital sky survey: Technical summary. Astron. J. 2000, 120:1579-1587. arxiv:astro-ph/0006396, 10.1086/301513.
119. Yu Q., Tremaine S. Observational constraints on growth of massive black holes. Mon. Not. R. Astron. Soc. 2002, 335:965-976. arxiv:astro-ph/0203082, 10.1046/j.1365-8711.2002.05532.x.