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Web resources

A variety of Web sites and metasites relating to ASAIP. These sites can be searched using the `Search ASAIP-reated sites' box at the upper right of this page.
.astronomy
.Astronomy (pronounced dot-astronomy) aims to bring together an international community of astronomy researchers, developers, educators and communicators to showcase and build upon these many web-based projects, from outreach and education to research tools and data analysis. .Astronomy runs an annual conference, posts news, hacks, talks, tools and unconference material.
AI_GEOSTATS
A long-established Web site with >1000 members promoting communication about geostatistics and spatial statistics (GIS, geostatistics, point statistics, lattice statistics, geoinformatics, sampling strategies, etc). Includes forums, data, software, meetings. Moderated by Gregoire Dubois, ISPRA.
AstroGPU: GPU Codes for Astronomy and Astrophysics
Codes and discussions about graphics processing units (GPUs) in high performance and throughput astronomy and astrophysics
Astroinformatics Facebook group
This page is intended as a forum for discussion and information sharing in the general arena of astroinformatics. Post your thoughts, questions, links to articles or resources of interest to this group, etc.
Astroinformatics schools and workshops
Following are links to slides, videos and tutorials from recent astroinformatics meetings and summer schools
Astronomy with R Facebook group
An `open group' in Facebook with ~1,800 members for discussion of the R statistical software system in astronomy. "Tell us about useful functions, plots, tricks and tips. All are welcome to join."
Astrophysics Source Code Library
The Astrophysics Source Code Library (ASCL) is a free, on-line registry for source codes of interest to astronomers and astrophysicists, and lists codes which have been used in research that has appeared in, or been submitted to, peer-reviewed publications. ASCL currently houses >750 codes which are indexed in the SAO/NASA Astrophysics Data System (ADS).
AstroPython
A community knowledge base for performing astronomy research with Python with lists of useful resources, a forum for general discussion, advice, or relevant news items, users' code snippets or scripts, and longer tutorials on specific topics. AstroPython is organized by a team with Thomas Robitaille, Gus Muench, Eli Bressert, Tom Aldcroft, and Prasanth Nair.
Astrostatistics & Astroinformatics Portal on Facebook
Selected material from ASAIP provided through a Facebook page with ~500 Likes.
Astrostatistics schools and workshops
Following are links to slides, videos and tutorials from recent astrostatistics meetings and summer schools
astrostatistics.org
This website is primarily aimed at hobbyists and amateurs interested in astrostatistics. Astrostatistics is an area in the broad field of astronomy particularly suited to hobbyists, since many data sets collected by professional instruments are available for public use. Astrostatistics.org covers the application of statistical, analytical and computational methods to astronomical data.
awesome R
A curated list of awesome R frameworks, packages and software, by Qin Wenfeng.
CosmoStat Laboratory
This organization at CEA-Saclay FR provides software, datasets, tutorials and monographs in advanced statistics and signal processing for cosmology. Methods include compressed sensing and sparsity, image deconvolution, Morphological Component Analysis, 3D curvelets, 3D spherical map analysis, CMB analysis, galaxy clustering/BAO analysis, and Population Monte Carlo.
DAHLIA: Dedicated Algorithms for HyperspectraL Imaging in Astronomy
Hyperspectral imaging is popular in many science areas such as remote sensing or laboratory experiments. In astronomy its spectacular development will provide soon to the community hyperspectral data with unprecedented level of complexity. With its 90,000 spatial elements and 4,000 spectral channels, the 2nd generation AO* assisted integral field spectrograph MUSE for the VLT is representative of these new instruments which will provide massive hyperspectral data. The aim of the DAHLIA project is to develop innovative signal processing methods in various areas relevant to the field.
Eureqa: functional data fitting
Eureqa is a software tool for detecting equations and hidden mathematical relationships in your data. Its goal is to identify the simplest mathematical formulas which could describe the underlying mechanisms that produced the data. Based on genetic programming and symbolic regression. Eureqa is free to download and use.
The Gaussian Processes Web site
Annotated bibliography, software, tutorials, meetings relating to Gaussian Processes as a statistical approach to regression and classification, model selection, sparse representation, and more. Maintained by C. E. Rasmussen, University of Cambridge.
glue: multidimensional data exploration
Glue is a Python library to explore relationships within and among related datasets. Its main features include: Linked Statistical Graphics (scatter plots, histograms and 2D/3D images with brushing and linking); flexible linking across data (logical links overlay visualizations of different data and propagate selections across data sets); and full scripting capability (Python with Numpy, Matplotlib, Scipy, etc. libraries and user-supplied code).
IVOA Interest Group in Knowledge Discovery in Databases
The International Virtual Observatory Alliance has an IG on astroinformatics. The group develops scalable data mining algorithms and the accompanying new standards for VO interfaces and protocols, so that these algorithms can be discovered and used transparently within VO science workflows or in standalone data exploration applications. The IG is also an arena where different groups can share experiences and plan future developments.
IVOA-KDD IG: A user guide for data mining in astronomy
The purpose of this guide is to show how the techniques of data mining can be used in astronomy to improve the science. It is written with the typical astronomer in mind. Sections give an overview of the data mining process and algorithms, advice on choosing algorithms, several dozen published examples of data mining in action, and links to books and on-line resources. Authors are Nick Ball (Herzberg Institute for Astrophysics, Canada) and Sabine McConnell (Dept. of Computing and Information Systems, Trent University, Canada)
KDnuggets: A resource site for data mining
This Web site provides a vast range of resources for data mining: software, jobs, companies, courses, webcasts, conferences, books, societies, and so forth. For example, see their blog entry `7 Steps for Learning Data Mining and Data Science'.
Nabble R forum
A very large and active threaded discussion group on the R statistical programming environment, operated by Nabble.
Practical Python for Astronomers
A series of hands-on workshops to explore the Python language and analysis tools to solve real-world problems that astronomers are likely to encounter in research. The interactive workshops use a full suite of plotting, analysis, and file reading tools. It includes AstroPy, a community effort to develop a single core package for Astronomy in Python and foster interoperability between Python astronomy packages such as PyFITS, PyWCS, vo, and asciitable.
Python resources for statistical computing
scicoder
SciCoder is a site that aims to bridge the gap between research scientists and modern programming practices. Its mission is to provide detailed tutorials, snippets of useful code, and place for scientists to come for help on programming topics. Operated by Demitri Muna of Ohio State University.
Skysoft: Astronomical software directory
Skysoft is a community-supported astronomical software database. Our goal is to be useful to both end-users and developers. We host all software kinds, from general data reduction packages, to specialized libraries, to small specific tools. Users and developers are invited to contribute with software news, user's views, comments and bugs notifications, and general astronomical news.
Statistics and Science
Report of the 2014 London Workshop on the Future of the Statistical Sciences, with references to astronomy
World Wide Telescope
The WorldWide Telescope (WWT) is a Web 2.0 visualization software environment that enables your computer to function as a virtual telescope—bringing together imagery from the world’s best ground- and space-based telescopes for the exploration of the universe. WWT blends terabytes of images, information, and stories from multiple sources into a seamless, immersive, rich media experience delivered over the Internet. Students of all ages will feel empowered to explore and understand the cosmos using WWT’s simple and powerful user interface. Utilizing the Microsoft® high performance Visual Experience Engine™, WorldWide Telescope allows you explore the universe as never before.
XLDB: Extremely Large Databases and Data Management
This is a Web site and organization operated by Jacek Becla (Stanford Linear Accelerator) that attempts to tackle challenges related to extreme scale data sets. Main activities include identifying trends, commonalities and roadblocks related to managing and analyzing extreme scale data sets, and facilitating development and growth of appropriate technologies including (but not limited to) databases. XLDB organizes annual conferences, runs a blog, provides use cases and science benchmarks for petabyte data management, and develops new database algebra and syntaxes.