000 | 03893nam a2200469 i 4500 | ||
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_c140241 _d140241 |
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001 | 9780750313209 | ||
003 | IOP | ||
005 | 20190320143356.0 | ||
006 | m eo d | ||
007 | cr cn |||m|||a | ||
008 | 190116s2018 enka ob 000 0 eng d | ||
020 |
_a9780750313209 _qebook |
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020 |
_a9780750313223 _qmobi |
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020 |
_z9780750313216 _qprint |
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040 |
_aCaBNVSL _bgre _eAACR2 _cGR-PaULI _dGR-PaULI |
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082 | 0 | 4 |
_a522.85 _223 |
100 |
_aZwart, Simon Portegies _eσυγγραφέας. _9174701 |
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245 | 1 | 0 |
_aAstrophysical recipes : _bthe art of AMUSE / _cSimon Portegies Zwart, Steve McMillan. |
246 | 3 | 0 | _aArt of AMUSE. |
246 | 3 | _aArt of Astronomical Multipurpose Software Environment. | |
260 |
_aBristol : _bIOP Publishing, _cc2018. |
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300 |
_a1 ηλεκτρονική πηγή (ποικίλες σελιδαριθμήσεις) : _bέγχρ. εικ. |
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490 | 1 |
_aAAS-IOP astronomy. [release 1], _x2514-3433 |
|
504 | _aΠεριλαμβάνει βιβλιογραφικές παραπομπές. | ||
505 | 0 | _a1. What is computational astrophysics? -- 1.1. Computational astrophysics -- 1.2. A brief history of simulations in astrophysics -- 1.3. Software used in this book -- 1.4. Initial conditions | |
505 | 8 | _a2. Gravitational dynamics -- 2.1. In a nutshell -- 2.2. N-body integration strategies -- 2.3. Gravity solvers in AMUSE -- 2.4. Examples -- 2.5. Validation -- 2.6. Assignments | |
505 | 8 | _a3. Stellar structure and evolution -- 3.1. In a nutshell -- 3.2. Simulating stellar evolution -- 3.3. Examples -- 3.4. Validation -- 3.5. Assignments | |
505 | 8 | _a4. Elementary coupling strategies -- 4.1. Multiphysics problems -- 4.2. Combining two or more solvers -- 4.3. Analysis tools -- 4.4. Multi-code strategies -- 4.5. The multiples module -- 4.6. Examples -- 4.7. Validation -- 4.8. Assignments | |
505 | 8 | _a5. Hydrodynamics -- 5.1. in a nutshell -- 5.2. Hydrodynamics in AMUSE -- 5.3. Examples -- 5.4. Validation -- 5.5. Assignments | |
505 | 8 | _a6. Radiative transfer -- 6.1. In a nutshell -- 6.2. Radiative transfer in AMUSE -- 6.3. Examples -- 6.4. Validation -- 6.5. Assignments | |
505 | 8 | _a7. Hierarchical coupling strategies -- 7.1. Code-coupling strategies -- 7.2. Using bridge -- 7.3. Bridging other codes -- 7.4. Examples -- 7.5. Assignments | |
505 | 8 | _a8. Case studies -- 8.1. Accretion in the galactic center from s-star winds -- 8.2. Supernova impact on the early solar system -- 8.3. Closure | |
505 | 8 | _a9. Epilogue -- Appendices. A. AMUSE fundamentals -- B. AMUSE specifics -- C. Programming primer. | |
520 | 3 | _aComputational astrophysics is a new and quickly growing discipline. In this book the authors outline the fundamentals for computational astrophysics, focusing on the use of the Astronomical Multipurpose Software Environment (AMUSE), which is a general-purpose simulation environment in astrophysics written in Python. AMUSE allows you to combine existing solvers to build new applications that can be combined again to study gradually more complex situations. This enables the growth of multi-physics and multi-scale application software in a hierarchical fashion, testing each intermediate step as the complexity of the software continues to increase. All examples in the book are associated with codes that run on a simple laptop or workstation. All figures are reproducible with a simple script, and all scripts are available online to be downloaded and run accordingly. | |
530 | _aAlso available in print. | ||
650 | 0 |
_aΑστροφυσική _xΠληροφορική _9174703 |
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650 | 0 |
_aΑστροφυσική _xΥπολογιστική προσομοίωση _9174704 |
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700 |
_aMcMillan, Steve _q(Stephen) _eσυγγραφέας. _9150378 |
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830 | 0 |
_aAAS-IOP astronomy. _pRelease 1. |
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856 | 4 | 0 | _uhttps://iopscience.iop.org/book/978-0-7503-1320-9 |
942 |
_2ddc _cERS |