Simulations, Data Analysis and Algorithms
Now accepting submissions
- Simon Portegies Zwart, Leiden University , Netherlands
- Ahmad A. Hujeirat, Interdisciplinary Center for Scientific Computing, University of Heidelberg, Germany
- Nils Andersson, Mathematical Sciences, University of Southampton, Southampton, UK
- Dinshaw Balsara, Physics Department, University of Notre Dame, Notre Dame, USA
- Weizhu Bao, Mathematical Sciences, National University of Singapore, Singapore, Singapore
- Peter Bastian, Interdisciplinary Center for Scientific Computing, University of Heidelberg, Germany
- Volker Bromm, Department of Astronomy, The University of Texas at Austin, Austin, USA
- Andreas Burkert, Theoretical and Computational Astrophysics, USM, Munich, Germany
- Matthew Choptuik, Dept. of Physics and Astronomy, University of British Columbia, Vancouver, Canada
- Walter Dehnen, Department of Physics and Astronomy, The University of Leicester, Leicester, UK
- Toni Font, Department of Astronomy and Astrophysics, University of València, València, Spain
- Eiichiro Kokubo, National Astronomical Observatory of Japan, Tokyo, Japan
- Serguei S. Komissarov, School of Mathematics, University of Leeds, Leeds, UK
- Richard V. E. Lovelace, Center for Radiophysics & Space Research, Cornell University, Cornell, Ithaca, USA
- Siddhartha Mishra, Seminar for Applied Mathematics, ETH Zürich, Zürich, Switzerland
- Christian Ott, Caltech, Pasadena, USA
- Tsvi Piran, Racah Institute for Physics, The Hebrew University, Jerusalem, Israel
- Rolf Rannacher, Institute for Applied Mathematics, University of Heidelberg, Heidelberg, Germany
- Luciano Rezzolla, AEI, Potsdam, Germany
- Ravindra Samtaney, King Abdullah University of Science and Technology, Thuwal, Kingdom of Saudi Arabia
- Romain Teyssier, Institute for Theoretical Physics, University of Zürich, Zürich, Switzerland
Aims & scope
Cover background figure: Early Stages of Cosmic Reionization. J. L. Johnson, T. H. Greif, V. Bromm, The University of Texas at Austin. Visualization by Paul A. Navratil, Texas Advanced Computing Center (TACC).
The first stars have blown bubbles of ionized radiation (blue) into the surrounding primordial gas (green). Shown is a frame from a supercomputer simulation, depicting the universe three hundred million years after the Big Bang. The first galaxies were assembled out of the material affected and disturbed by the feedback from the first stars. The image shows the simulation (computed on TACC's Ranger) of the impact of radiation from early stars on surrounding primordial gas in the early Universe. Green shows concentration of molecular hydrogen in the primordial gas, while blue shows regions ionized by high-energy radiation from the stars. When a star is active, the surrounding molecular hydrogen is completely destroyed, preventing further star formation. As stars die, radiation levels decline and molecular hydrogen begins to reform, possibly allowing another round of star formation.Close
Computational Astrophysics and Cosmology (CompAC) is an international journal dedicated to research in astrophysics and cosmology resulting from or related to computer-supported modeling or computation-intensive data analysis. It also publishes articles on computer tools, numerical algorithms and solvers, visualization techniques, data management and data mining.
CompAC publishes full-length research articles, letters-to-the editor (up to 5 journal pages), comprehensive reviews, as well as "how-to manuals" describing best practices in scientific computing, and software reports. Accepted articles must fit into one or more areas covered by the journal, which include:
- All fields of computational astrophysics (including solar physics and astrophysical aspects of planetary science)
- Computational cosmology (both astrophysical cosmology and computational cosmology of the early universe beyond astronomical observability)
- Numerical relativity
- Numerical algorithms and solvers
- Supercomputing & parallelization
- Analysis and visualization of data obtained from both observations and numerical simulations
- Data mining and computational astro-statistics
The editors insist that articles published in CompAC be transparent with regard to how computational results were obtained and may be reproduced, as well as where benchmarks of the codes used may be found. Besides providing detailed information on simulations in the main part of simulation papers, authors will be requested to attach an appendix to their article providing certain information on the code. A template for these appendices is provided by the journal.
CompTools - Software, networks and benchmarks
In addition to the publication of research articles, reviews and letters reporting on the developments in theory, astronomical observations, computer-supported research in astrophysics and cosmology, the "CompTools" feature of the journal is designed to generate a supplementary article/appendix that outlines the main ingredients and properties of the implemented computational-tools, providing a list of the relevant software and mechanisms for comparisons. This additional feature of the journal aims at enhancing the transparency and usability of verified computational tools as well as the reproducibility of the obtained results.
Therefore, authors will be requested to fill-in an online questionnaire, which can be straightforwardly and quickly completed. The information submitted by authors will be stored in a database on the WebServer of CompAC and processed to generate supplementary files (in PDF & HTML format) that serve as appendix to the main article.
Readers of the journal will be offered a "CompTool view" listing these supplements describing codes and software used in the main articles. The primary aim here is to enable readers to gain efficient and concise summaries of the employed computer tools/software, compare them with others, outline their regimes of application as well as to obtain a broad overview of the subject by following explanatory links (to internal and external URLs) provided by CompTools.
SpringerOpen is Springer’s new suite of open access journals which will cover all disciplines. SpringerOpen journals are fully and immediately open access and will publish articles under the Creative Commons Attribution license. This makes it easy for authors to fully comply with open access mandates and retain copyright. SpringerOpen journals combine open access and our expertise in delivering high-quality and rapid publications, from online submission systems and in-depth peer review to an efficient, author-friendly production process.
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