Hey! What Are You Looking At?

The High Energy Astrophysics Science Archive Research Center (HEASARC) archives space agencies' data from missions studying electromagnetic radiation from extremely energetic cosmic phenomena (e.g., gravitational wave detections, gamma ray bursts, and supernovae). The Canadian Astronomy Data Center (CADC) is another repository containing missions studying comets, asteroids, and exoplanets among other things. Your challenge is to create a visualization tool that can help people interested in these phenomena to access the data quickly and easily.

Pixelated Universe

Summary

The emphasis of our project is to provide different analysis of data from Land and Space Telescopes to students who wish to study them in detail. Our idea is to create an Android app that could do the same. Analysis include: Contour mapping, .fits to other formats conversion, Mapping the image obtained from the sources with their respective coordinates (Right Ascension and Declination), multiwavelength analysis, noise cancelling. Contour mapping shows the dips in the luminosity. Format convertor helps in converting .fits images to other file formats. Mapping the coordinates shows Right Ascension in x axis and Declination in y axis. FFT for noise cancellation and multiwavelength analysis.

How We Addressed This Challenge

We have developed an Android app that could implement the following features: Contour mapping, .fits to other formats conversion, Mapping the image obtained from the sources with their respective coordinates (Right Ascension and Declination), multiwavelength analysis, noise cancelling. This could actually inspire students to do a brief study and find something that would help the science community in many ways. For example, from the contour mapping, if a student notes some unusual dip in the graph, there are possibilities that they have found some stellar objects too.

How We Developed This Project

The main reason for choosing this challenge was to help the students who would like to do different types of analysis on data from space based and land-based telescopes. Young minds are capable of contributing to space research. So, we hope that our project helps with that. We have used Python for the analysis part, Java for building the Android application. We have successfully implemented the contour mapping. However, we weren't able to add the other features due to some technical problems. We are working on it and we would like to bring it in our future endeavors.

How We Used Space Agency Data in This Project

https://www.spacetelescope.org/projects/fits_liberator/datasets_archives/

We got the data of HST from this website. We tried accessing the data from MAST Archive but we weren't successful.

We also got some unprocessed data from the following link:

http://www.remote-astrophotography.com/cgi-bin/Fits.pl/

Tags
#astronomy #dataanalysis
Judging
This project was submitted for consideration during the Space Apps Judging process.