Tools | An iPhone App for Variable Stars

January 16, 2011

Over the past few months, while I have been sadly neglecting the Data Mining for Astronomy website (apologies for that), I have been working in collaboration with my friend Mark McGettrick and the American Association of Variable Star Observers (AAVSO) to develop an iPhone app for Variable Stars, and other data-centric iPhone apps.

As we all know, in the past 10 years, the ubiquitous availability of data repositories, and the commensurate opportunities for statistical analysis and data-mining has transformed both astronomical and biomedical research. Our idea was to develop a reusable application framework that would enable us to “mobilize” datasets on to the Apple iOS platform. The underlying framework allows us, as developers, to define the meta-data content of a given dataset, and then to rapidly transform this into an iPhone app, giving users the ability to:

  • query the data
  • sort results, and
  • view the details of individual records.

So you describe the content of the dataset, and certain interfaces are generating automatically including filter / query controls and sorting criteria.   Presenting the details of a particular record does still require a certain degree of customization in order to render object attributes in a manner that a domain-expert would expect.    But we are hoping to develop, as part of the framework, certain pre-defined templates that will further reduce the coding effort involved.   As this is an astronomical application, we have also developed specific extensions to support object visibility based on the observer’s geographical location and date/time.  Going forward, we plan to make it possible to generate correlation plots, bar charts, and other visualizations, and to generate various types of statistical analyses, all towards the broader goal of creating a mobile data-mining framework for astronomical and biomedical applications.   So far, reviews of the app have been very positive!

Stay posted!

Details of a particular star

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Synopsis | Survey astronomy and education

August 31, 2010

In Science Magazine this week (27 August 2010, Vol 329) an essay appears by M. Jordan Raddick and  Alexander Szalay (Johns Hopkins) emphasizing the Sloan Digital Sky Survey (SDSS) as an educational tool.    They point out, for example, a number of the educational features of the SDSS web site including:

  • Providing  an introduction to the science enabled by the survey
  • Enabling web-enabled public access via SkyServer, including a collaborative analysis feature that I was not aware of called CasJobs.
  • The availability of projects and tutorials aimed at students in middle school through college.
  • The use of SDSS data in Microsoft’s World Wide Telescope, Google Sky, and as the image data source for citizen science projects like Galaxy Zoo.

Raddick and Szalay write:

SkyServer tools allow students, teachers, and the public to view astronomy data. SkyServer projects allow learners to use these data to recreate famous discoveries in modern astronomy, such as detecting the expansion of the universe. Other interfaces, such as Google Sky and World Wide Telescope, permit the public to view SDSS data in relation to other astronomical data sets. Galaxy Zoo allows online volunteers to contribute to the advancement of science. Together, these sites are tapping into the hunger and enthusiasm of members of the general public to engage with scientific research, and are helping to make science more democratic.

For this work, they have been awarded this month’s winner of  Science Magazine’s Spore* Series for Online Resources in Education for which they are deserving wholehearted congratulations!


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