Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Astronomy and computing
| Astronomy and computing |
| Pubbl/distr/stampa | [Amsterdam] : , : Elsevier B. V., , c2012- |
| Descrizione fisica | 1 online resource |
| Soggetto topico |
Astronomy - Data processing
Information storage and retrieval systems - Astronomy Astronomy - Mathematics Astronomy - Information technology |
| Soggetto genere / forma | Periodicals. |
| Soggetto non controllato | Astronomical Observatories & Instruments |
| ISSN | 2213-1345 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
Astronomy & computing
A&C |
| Record Nr. | UNISA-996210769303316 |
| [Amsterdam] : , : Elsevier B. V., , c2012- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Astronomy and computing
| Astronomy and computing |
| Pubbl/distr/stampa | [Amsterdam] : , : Elsevier B. V., , c2012- |
| Descrizione fisica | 1 online resource |
| Soggetto topico |
Astronomy - Data processing
Information storage and retrieval systems - Astronomy Astronomy - Mathematics Astronomy - Information technology |
| Soggetto genere / forma | Periodicals. |
| ISSN | 2213-1345 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
Astronomy & computing
A&C |
| Record Nr. | UNINA-9910141361903321 |
| [Amsterdam] : , : Elsevier B. V., , c2012- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Astronomy on the personal computer / Oliver Montenbruck, Thomas Pfleger ; translated by Storm Dunlop ; with a foreword by Richard M. West
| Astronomy on the personal computer / Oliver Montenbruck, Thomas Pfleger ; translated by Storm Dunlop ; with a foreword by Richard M. West |
| Autore | Montenbruck, Oliver |
| Edizione | [4th, completely rev. ed.] |
| Pubbl/distr/stampa | Berlin ; New York : Springer, c2000 |
| Descrizione fisica | xv, 310 p. : ill. ; 24 cm. + 1 computer optical disc (4 3/4 in.) |
| Altri autori (Persone) | Pfleger, T.author |
| Collana | Physics and astronomy |
| Soggetto topico |
Astronomy - Data processing
Microcomputers |
| ISBN | 3540672214 |
| Classificazione |
52.9.5
522.85'5362 QB51.3.E43 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISALENTO-991000821869707536 |
Montenbruck, Oliver
|
||
| Berlin ; New York : Springer, c2000 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. del Salento | ||
| ||
Information handling in astronomy : historical vistas / / edited by André Heck
| Information handling in astronomy : historical vistas / / edited by André Heck |
| Pubbl/distr/stampa | Dordrecht : , : Springer Netherlands, , 2002 |
| Descrizione fisica | 1 online resource (XII, 298 p.) |
| Disciplina | 519.5 |
| Collana | Astrophysics and Space Science Library |
| Soggetto topico |
Communication in astronomy
Information storage and retrieval systems - Astronomy Astronomy - Data processing |
| Soggetto genere / forma | Electronic books. |
| ISBN | 0-306-48080-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Half a Century of Intense Maturation -- Evolution of Time Measurement in Astronomy -- Evolution of Data Processing in Optical Astronomy — A Personal Account -- IHAP: Image Handling and Processing System -- FITS: A Remarkable Achievement in Information Exchange -- The Munich Image Data Analysis System -- AIPS, the VLA, and the VLBA -- Changes in Astronomical Publications During the 20th Century -- The Evolution and Role of the Astronomical Library and Librarian -- The Development of the Astronomy Digital Library -- From Early Directories to Current Yellow-Page Services -- Pre-College Astronomy Education in the United States in the Twentieth Century -- The Birth and Evolution of the Planetarium -- The Changing Role of the IAU in Providing and Organizing Information -- Was the Carte du Ciel an Obstruction to the Development of Astrophysics in Europe? -- Amateur Data and Astronomical Discoveries in the 20th Century. |
| Record Nr. | UNINA-9910449996303321 |
| Dordrecht : , : Springer Netherlands, , 2002 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Information handling in astronomy : historical vistas / / edited by André Heck
| Information handling in astronomy : historical vistas / / edited by André Heck |
| Pubbl/distr/stampa | Dordrecht : , : Springer Netherlands, , 2002 |
| Descrizione fisica | 1 online resource (XII, 298 p.) |
| Disciplina | 519.5 |
| Collana | Astrophysics and Space Science Library |
| Soggetto topico |
Communication in astronomy
Information storage and retrieval systems - Astronomy Astronomy - Data processing |
| ISBN | 0-306-48080-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Half a Century of Intense Maturation -- Evolution of Time Measurement in Astronomy -- Evolution of Data Processing in Optical Astronomy — A Personal Account -- IHAP: Image Handling and Processing System -- FITS: A Remarkable Achievement in Information Exchange -- The Munich Image Data Analysis System -- AIPS, the VLA, and the VLBA -- Changes in Astronomical Publications During the 20th Century -- The Evolution and Role of the Astronomical Library and Librarian -- The Development of the Astronomy Digital Library -- From Early Directories to Current Yellow-Page Services -- Pre-College Astronomy Education in the United States in the Twentieth Century -- The Birth and Evolution of the Planetarium -- The Changing Role of the IAU in Providing and Organizing Information -- Was the Carte du Ciel an Obstruction to the Development of Astrophysics in Europe? -- Amateur Data and Astronomical Discoveries in the 20th Century. |
| Record Nr. | UNINA-9910783381803321 |
| Dordrecht : , : Springer Netherlands, , 2002 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
The Intelligent Universe : AI's Role in Astronomy
| The Intelligent Universe : AI's Role in Astronomy |
| Autore | Chandra Yogesh |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2025 |
| Descrizione fisica | 1 online resource (516 pages) |
| Disciplina | 522/.8563 |
| Altri autori (Persone) |
PandaManjuleshwar
MathpalMahesh Chandra |
| Soggetto topico | Astronomy - Data processing |
| ISBN |
1-394-35551-3
1-394-35550-5 1-394-35549-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Series Page -- Title Page -- Copyright Page -- Dedication Page -- Contents -- Foreword -- Preface -- Acknowledgement -- Part I: Foundations and Core Applications of AI in Astronomy -- Chapter 1 Introduction to AI in Astronomy -- 1.1 Introduction -- 1.2 Understanding AI: Key Concepts and Techniques -- 1.2.1 What is AI? -- 1.2.2 Machine Learning -- 1.2.3 Deep Learning -- 1.3 Fundamentals of Deep Learning -- 1.3.1 Building Blocks of a Neural Network -- 1.3.2 Training and Optimization -- 1.3.3 Addressing Challenges in Deep Learning -- 1.3.4 Training a Neural Network -- 1.4 AI Algorithms Shaping Astronomical Research -- 1.4.1 Convolutional Neural Network -- 1.4.2 Recurrent Neural Network -- 1.4.3 Long Short-Term Memory -- 1.4.4 Reinforcement Learning -- 1.5 Revolutionizing Data Analysis: AI in Astronomical Surveys -- 1.5.1 Popular Machine Learning Libraries -- 1.5.2 Astronomical Software and APIs -- 1.5.3 Public Datasets and Repositories -- 1.6 Machine Learning Models for Celestial Object Classification -- 1.6.1 Random Forest Model for Classifying Celestial Objects Into Three Categories: STAR, GALAXY, Or Quasi-Stellar Object -- 1.6.2 k-Nearest Neighbors for Classification of Celestial Objects Into Distinguishing AGNs from Stars and Galaxies -- 1.6.3 Convolutional Neural Network for Classifying Galaxies -- 1.7 AI in Observational Astronomy: Transforming Telescopic Data -- 1.7.1 AI-Powered Image Processing in Astronomy -- 1.7.2 Real-Time Data Processing and Automated Observations -- 1.7.3 AI in Telescope Data Compression and Storage -- 1.8 Harnessing AI for Space Exploration and Planetary Science -- 1.8.1 AI-Driven Autonomous Navigation for Deep Space Missions -- 1.8.2 AI for Exoplanet Discovery and Characterization -- 1.8.3 AI in Planetary Surface Exploration and Robotic Operations -- 1.9 AI-Driven Discoveries: Case Studies in Astronomy.
1.9.1 AI-Enhanced Gravitational Wave Detection -- 1.9.2 ML for Anomaly Detection in Astronomical Data -- 1.9.3 AI-Driven Meteor Shower Mapping -- 1.10 Challenges and Limitations of AI in Astronomy -- 1.10.1 Sources of Bias in Astronomical Data -- 1.10.2 Mitigating Bias in AI Applications -- 1.10.3 The Importance of Interpretability: Understanding How AI Models Make Decisions -- 1.10.4 Key Approaches to Interpretability -- 1.11 The Future of AI in Astronomy: Opportunities and Horizons -- 1.12 Conclusion -- References -- Chapter 2 Data Mining and Machine Learning in Astrophysics -- 2.1 Introduction -- 2.2 Foundations of Data Mining and Machine Learning -- 2.2.1 Data Science and Its Components -- 2.2.2 Classical Machine Learning Versus Deep Learning -- 2.2.3 Data Mining Software and Tools -- 2.3 Machine Learning Applications in Astrophysics -- 2.3.1 Supervised Learning Techniques -- 2.3.2 Unsupervised Learning Techniques -- 2.3.3 Structure of Training Data: Supervised and Unsupervised -- 2.3.4 Semi-Supervised Learning Techniques -- 2.4 Role of Machine Learning in Key Astrophysical Research Areas -- 2.4.1 Exoplanet Detection -- 2.4.2 Gravitational Wave Analysis -- 2.4.3 Galaxy Classification -- 2.4.4 Transient Event Identification -- 2.5 Challenges in the Era of Big Data -- 2.5.1 Managing Vast Data Volumes -- 2.5.2 Addressing Observational Noise and Data Imbalance -- 2.5.3 Enhancing Model Interpretability -- 2.6 Bridging Observations and Theory -- 2.6.1 Enhancing Theoretical Simulations with Observational Data -- 2.6.2 Revolutionizing Astrophysical Simulations -- 2.6.3 Processing and Analyzing Vast Astrophysical Datasets -- 2.6.4 Discovering New Astrophysical Phenomena -- 2.7 The Future: Autonomous Observatories and Predictive Models -- 2.7.1 Real-Time Event Detection and Response -- 2.7.2 Predictive Modeling in Astrophysics. 2.7.3 A New Era of Astrophysical Discovery -- 2.8 Conclusion -- Data Availability -- Acknowledgement -- References -- Chapter 3 The Role of Artificial Intelligence in the Discovery and Characterization of Exoplanets -- 3.1 Introduction -- 3.2 Exoplanet Discovery -- 3.3 Naming Rules/Nomenclature -- 3.4 Types of Exoplanets -- 3.4.1 Gas Giants -- 3.4.2 Hot Jupiters -- 3.4.3 Terrestrial Exoplanets -- 3.4.4 Super-Earths -- 3.4.5 Neptunian Exoplanets -- 3.4.6 Exo-Earths -- 3.4.7 Water World (Ocean Planets) -- 3.4.8 Chthonian Planets -- 3.4.9 Rogue Exoplanets -- 3.5 Detection Methods -- 3.5.1 Direct Detection -- 3.5.1.1 Imaging -- 3.5.2 Indirect Detection -- 3.5.2.1 Radial Velocity Tracking -- 3.5.2.2 Astrometry -- 3.5.2.3 Pulsar Timing -- 3.5.2.4 Transit Method -- 3.5.2.5 Gravitational Microlensing -- 3.6 Missions Launched to Detect Exoplanets -- 3.6.1 Kepler Space Telescope (2009-2018) -- 3.6.2 Transiting Exoplanet Survey Satellite (TESS) (2018-Present) -- 3.6.3 Hubble Space Telescope (1990-Present) -- 3.6.4 James Webb Space Telescope (2021-Present) -- 3.6.5 COROT (2006-2013) -- 3.6.6 PLATO (PLAnetary Transits and Oscillations of Stars) (Launch Expected 2026) -- 3.6.7 CHEOPS (CHaracterising ExOPlanet Satellite) (2019-Present) -- 3.6.8 Spitzer Space Telescope (2003-2020) -- 3.6.9 Gaia (2013-Present) -- 3.6.10 WISE (Wide-Field Infrared Survey Explorer) (2010-2011) -- 3.7 Role of Artificial Intelligence in Exoplanetary Science -- 3.7.1 Role of AI in Discovering and Studying Exoplanets -- 3.7.1.1 Data Analysis and Detection -- 3.7.1.2 Characterization of Exoplanets -- 3.7.1.3 Pattern Recognition and Anomaly Detection -- 3.7.1.4 Improving Telescope Operations -- 3.7.1.5 Optimization of Surveys -- 3.7.1.6 Collaborative Efforts with Simulations -- 3.7.2 Role of AI-Based Tools in Finding Habitable Planets. 3.7.2.1 Searching for Exoplanet Habitability Using a Novel Anomaly Detection Method -- 3.7.2.2 TOLIMAN Mission to Search for Habitable Worlds in the Alpha Centauri System -- 3.7.2.3 Machine Learning Techniques to Study the Internal Structure of Rocky Exoplanets -- 3.7.2.4 Contribution of Artificial Intelligence in Searching Exoplanets -- 3.8 Conclusion -- Acknowledgement -- References -- Chapter 4 Cosmology and Dark Matter Research -- 4.1 Introduction -- 4.2 Role of Dark Matter in the Cosmos -- 4.3 Future Cosmological Observations -- 4.4 Evidence of Dark Matter -- 4.4.1 Mini-Galaxies -- 4.4.1.1 Rotation Pattern of Spiral Galaxies -- 4.4.1.2 Other Evidence At the Galactic Scale -- 4.4.2 Midi: Cluster of the Galaxies -- 4.4.2.1 Effect of Gravitational Lensing -- 4.4.3 The Universe: Maxi -- 4.4.3.1 Large-Scale Structure Formation -- 4.4.3.2 Cosmic Microwave Background -- 4.4.3.3 Big Bang Nucleosynthesis -- 4.5 Theoretical Models of Dark Matter -- 4.5.1 MAssive Compact Halo Objects -- 4.5.2 WIMPs -- 4.5.3 Lambda Cold Dark Matter -- 4.5.3.1 Extending the .CDM Model -- 4.5.4 MOdified Newtonian Dynamics -- 4.5.4.1 Observational Evidence of MOND -- 4.6 .CDM and MOND -- 4.6.1 Interpretation of the .CDM-MOND Debate -- 4.6.2 Justified Extension Explanation of Models -- 4.6.3 Axions -- 4.7 Sterile Neutrinos -- 4.7.1 Creation and Decay of Sterile Neutrinos -- 4.8 Method of Direct Detection -- 4.8.1 Rates, Spectra, and Interactions -- 4.9 Indirect Detection -- 4.9.1 Energy Spectrum at Production -- 4.9.2 Secondary Photons -- 4.10 Role of Artificial Intelligence in Dark Matter and Cosmology -- 4.10.1 Data Analysis and Pattern Recognition -- 4.10.2 Simulating Cosmological Models -- 4.10.3 Enhancing Observational Techniques -- 4.10.4 Deep Learning in Direct and Indirect Detection -- 4.10.5 Accelerating Theoretical Model Testing -- 4.10.6 Enhancing Survey Efficiency. 4.10.7 Accelerating Discoveries with AI-Driven Hypotheses -- 4.11 AI's Role in Quantum Simulations of Dark Matter -- 4.12 Challenges and Future Prospects -- 4.12.1 Toward a Dark Matter Breakthrough -- 4.12.2 Handling Vast and Complex Datasets -- 4.13 Enhancing Analysis and Interpretation of Astronomical Data -- 4.13.1 Advanced Cosmological Simulations -- 4.13.2 Direct and Indirect Detection Support -- 4.14 AI in Theory Development and Hypothesis Generation -- 4.15 Challenges and Future Prospects -- 4.16 Conclusion -- Data Availability -- Acknowledgment -- References -- Chapter 5 Gravitational Wave Detection -- 5.1 Introduction -- 5.1.1 Theoretical Foundations of Gravitational Waves -- 5.1.2 Early Indirect Evidence and Predictions -- 5.1.3 The Breakthrough of Direct Detection -- 5.2 Gravitational Wave Observatories and Detection Techniques -- 5.2.1 LIGO, Virgo, and KAGRA: Current Ground-Based Detectors -- 5.2.2 Space-Based Observatories: LISA and Beyond -- 5.2.3 Sensitivity and Noise Reduction Strategies -- 5.3 Multi-Messenger Astronomy and Astrophysical Sources -- 5.3.1 Neutron Star Mergers and Kilonovae -- 5.3.2 Black Hole Mergers and Event Horizon Studies -- 5.3.3 Exotic Sources and High-Energy Astrophysics -- 5.4 Artificial Intelligence in Gravitational Wave Detection -- 5.4.1 Machine Learning for Signal Processing -- 5.4.2 Deep Learning for Event Classification -- 5.4.3 AI-Driven Noise Filtering and Optimization -- 5.5 Challenges and Future Prospects -- 5.5.1 Fundamental Sensitivity Limits of Current Detectors -- 5.5.2 Next-Generation Observatories: Einstein Telescope and Cosmic Explorer -- 5.5.3 AI's Expanding Role in Future Gravitational Wave Research -- 5.6 Conclusion -- Data Availability -- References -- Chapter 6 Harmonizing the Cosmos: Radio Astronomy and AI Integration -- 6.1 Introduction: The Synergy of Radio Astronomy and AI. 6.1.1 Overview of Radio Astronomy and Its Significance in Modern Astrophysics. |
| Record Nr. | UNINA-9911031642003321 |
|
Chandra Yogesh
|
||
| Newark : , : John Wiley & Sons, Incorporated, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Modelling and simulation in science [[electronic resource] ] : 6th International Workshop on Data Analysis in Astronomy, Erice, Italy, 15-22 April 2007 / / edited by Vito Di Gesù, Giosuè Lo Bosco, Maria Concetta Maccarone
| Modelling and simulation in science [[electronic resource] ] : 6th International Workshop on Data Analysis in Astronomy, Erice, Italy, 15-22 April 2007 / / edited by Vito Di Gesù, Giosuè Lo Bosco, Maria Concetta Maccarone |
| Pubbl/distr/stampa | New Jersey, : World Scientific, c2007 |
| Descrizione fisica | 1 online resource (352 p.) |
| Disciplina | 003.3 |
| Altri autori (Persone) |
Di GesùV
Lo BoscoGiosuè MaccaroneMaria Concetta ScarsiL |
| Collana | Science and culture series. Astrophysics |
| Soggetto topico |
Astronomy - Computer simulation
Astronomy - Data processing |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-281-93805-X
9786611938055 981-277-945-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
CONTENTS; Workshop photographs; Organizing Committees; Preface; Memory of Livio Scarsi; Part A - Astrophysics, Cosmology and Earth Physics; Simulations for UHE Cosmic Ray Experiments J. Knapp; 1. Cosmic Rays and Air Showers; 2. The Pierre Auger Observatory; 3. Simulations versus Models; 4. Air Shower Simulations and the CORSIKA Program; 5. Some Selected Details; 6. Outlook; Acknowledgement; References; Detector Modeling in Astroparticle Physics S. Petrera; 1. Introduction; 2. MACRO as a ν detector; 2.1. Atmospheric neutrinos and their oscillation; 2.2. Physics and detector simulation
1. Introduction2. Comparison of Models; 3. Conclusions; References; Observations, Simulations, and Modeling of Space Plasma Waves: A Perspective on Space Weather V. S. Sonwalkar; 1. Introduction; 2. Atmosphere-Ionosphere-Magnetosphere System and its Solar Drivers; 3. Plasma Waves; 3.1. Observations of plasma waves; 3.2. Generation and propagation of plasma waves; 3.3. Modeling and simulations of plasma waves; 3.4. Contribution of plasma waves to space weather: wave-particle interactions; 3.5. Monitoring space weather using plasma waves; 4. Concluding Remarks; Acknowledgments; References Electron Flux Maps of Solar Flares: A Regularization Approach to Rhessi Imaging Spectroscopy A. M. Massone, M. Piana, M. Prato, A. G. Emslie, G. J. Hurford, E. P. Kontar, R. A. Scwartz1. Introduction; 2. Visibilities; 3. Electron Flux Spectrum Images; 4. Application to RHESSI Data; 5. Conclusions; References; Problems and Solutions in Climate Modeling A. Sutera; 1. Introduction; 2. The Equations of Motion; 3. Parameter Settings and Numerical Solutions; 4. An Heuristic Model; 5. Conclusions; Acknowledgments; References Numerical Simulations and Diagnostics in Astrophysics: A few Magnetohydrodynamics Examples G. Peres, R. Bonito, S. Orlando, F. Reale1. Introduction; 2. Supernovae Remnants; 3. Protostellar Jets; 4. Conclusions; 5. Acknowledgements; References; Numerical Simulations of Multi-Scale Astrophysical Problems: The example of Type Ia Supernovae F. K. Röpke; 1. Introduction; 2. Astrophysical Model; 3. Challenges; 4. Governing Equations; 5. Modeling Approaches; 6. Numerical Methods; 7. Three-dimensional Type Ia Supernova Simulations; References Numerical Simulations in Astropysics: From the Stellar Jets to the White Dwarfs F. Rubini, L. Delzanna, J. A. Biello, J. W. Truran |
| Record Nr. | UNINA-9910451553203321 |
| New Jersey, : World Scientific, c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Modelling and simulation in science [[electronic resource] ] : 6th International Workshop on Data Analysis in Astronomy, Erice, Italy, 15-22 April 2007 / / edited by Vito Di Gesù, Giosuè Lo Bosco, Maria Concetta Maccarone
| Modelling and simulation in science [[electronic resource] ] : 6th International Workshop on Data Analysis in Astronomy, Erice, Italy, 15-22 April 2007 / / edited by Vito Di Gesù, Giosuè Lo Bosco, Maria Concetta Maccarone |
| Pubbl/distr/stampa | New Jersey, : World Scientific, c2007 |
| Descrizione fisica | 1 online resource (352 p.) |
| Disciplina | 003.3 |
| Altri autori (Persone) |
Di GesùV
Lo BoscoGiosuè MaccaroneMaria Concetta ScarsiL |
| Collana | Science and culture series. Astrophysics |
| Soggetto topico |
Astronomy - Computer simulation
Astronomy - Data processing |
| ISBN |
1-281-93805-X
9786611938055 981-277-945-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
CONTENTS; Workshop photographs; Organizing Committees; Preface; Memory of Livio Scarsi; Part A - Astrophysics, Cosmology and Earth Physics; Simulations for UHE Cosmic Ray Experiments J. Knapp; 1. Cosmic Rays and Air Showers; 2. The Pierre Auger Observatory; 3. Simulations versus Models; 4. Air Shower Simulations and the CORSIKA Program; 5. Some Selected Details; 6. Outlook; Acknowledgement; References; Detector Modeling in Astroparticle Physics S. Petrera; 1. Introduction; 2. MACRO as a ν detector; 2.1. Atmospheric neutrinos and their oscillation; 2.2. Physics and detector simulation
1. Introduction2. Comparison of Models; 3. Conclusions; References; Observations, Simulations, and Modeling of Space Plasma Waves: A Perspective on Space Weather V. S. Sonwalkar; 1. Introduction; 2. Atmosphere-Ionosphere-Magnetosphere System and its Solar Drivers; 3. Plasma Waves; 3.1. Observations of plasma waves; 3.2. Generation and propagation of plasma waves; 3.3. Modeling and simulations of plasma waves; 3.4. Contribution of plasma waves to space weather: wave-particle interactions; 3.5. Monitoring space weather using plasma waves; 4. Concluding Remarks; Acknowledgments; References Electron Flux Maps of Solar Flares: A Regularization Approach to Rhessi Imaging Spectroscopy A. M. Massone, M. Piana, M. Prato, A. G. Emslie, G. J. Hurford, E. P. Kontar, R. A. Scwartz1. Introduction; 2. Visibilities; 3. Electron Flux Spectrum Images; 4. Application to RHESSI Data; 5. Conclusions; References; Problems and Solutions in Climate Modeling A. Sutera; 1. Introduction; 2. The Equations of Motion; 3. Parameter Settings and Numerical Solutions; 4. An Heuristic Model; 5. Conclusions; Acknowledgments; References Numerical Simulations and Diagnostics in Astrophysics: A few Magnetohydrodynamics Examples G. Peres, R. Bonito, S. Orlando, F. Reale1. Introduction; 2. Supernovae Remnants; 3. Protostellar Jets; 4. Conclusions; 5. Acknowledgements; References; Numerical Simulations of Multi-Scale Astrophysical Problems: The example of Type Ia Supernovae F. K. Röpke; 1. Introduction; 2. Astrophysical Model; 3. Challenges; 4. Governing Equations; 5. Modeling Approaches; 6. Numerical Methods; 7. Three-dimensional Type Ia Supernova Simulations; References Numerical Simulations in Astropysics: From the Stellar Jets to the White Dwarfs F. Rubini, L. Delzanna, J. A. Biello, J. W. Truran |
| Record Nr. | UNINA-9910777499703321 |
| New Jersey, : World Scientific, c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Numerical Python in astronomy and astrophysics : a practical guide to astrophysical problem solving / / Wolfram Schmidt, Marcel Völschow
| Numerical Python in astronomy and astrophysics : a practical guide to astrophysical problem solving / / Wolfram Schmidt, Marcel Völschow |
| Autore | Schmidt Wolfram <1974-> |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (257 pages) |
| Disciplina | 522.85 |
| Collana | Undergraduate lecture notes in physics |
| Soggetto topico | Astronomy - Data processing |
| ISBN | 3-030-70347-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910492152903321 |
|
Schmidt Wolfram <1974->
|
||
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Numerical Python in astronomy and astrophysics : a practical guide to astrophysical problem solving / / Wolfram Schmidt, Marcel Völschow
| Numerical Python in astronomy and astrophysics : a practical guide to astrophysical problem solving / / Wolfram Schmidt, Marcel Völschow |
| Autore | Schmidt Wolfram <1974-> |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (257 pages) |
| Disciplina | 522.85 |
| Collana | Undergraduate lecture notes in physics |
| Soggetto topico | Astronomy - Data processing |
| ISBN | 3-030-70347-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996466748103316 |
|
Schmidt Wolfram <1974->
|
||
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
