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CFHT data analysis in a web browser — webtools for the Mauna Kea Scholars program

Presentation #345.10 in the session Public Outreach Resources and Programs — iPoster Session.

Published onJun 29, 2022
CFHT data analysis in a web browser — webtools for the Mauna Kea Scholars program

The Mauna Kea Scholars program (https://maunakeascholars.com/), started in 2015, provides research opportunities for high school students in Hawai'i to use the telescopes on Mauna Kea. These students work with astronomy mentors (mostly graduate students, but also astronomers working with the observatories), to write proposals for telescope time. Over 100 students have received telescope time since the start of the program.

It is a steep learning curve to learn how to analyze astronomical data, often requiring specialized software and a background in programming. These skills are often needed even for very basic tasks such as opening a fits file or viewing a spectra, and can act as a barrier to high school students who have an interest in science but do not yet have the computer background. Another barrier is that many of the students have chromebooks, which makes it impossible to run typical astronomy software. We have created a couple of webtools to make CFHT’s data more accessible to high school students. These tools are written in html5 and javascript, and can be easily viewed on chromebooks and mobile devices.

For images, we have a ‘colorizer’ that allows one to create color images using a preset collection of different fields observed in different filters, for a set of publicly available Pan-STARRS images and CFHT MegaCam images. The mentor can clone the github page and change the images to use the student’s telescope images, making this a very simplified way to view FITS files. The student can pan and zoom the images, choose the filters to view, and adjust the intensity, and also create color images.

For students interested in exploring CFHT ESPaDOnS spectra, we have a javascript webtool that allows one to load up to 2 spectra, and to examine (pan, zoom, scale) the spectra. The student can find the min, max for a set range, and overlay known spectral lines for Hydrogen and other elements.

Both of these webtools are written in html5 and javascript, and can be used with any modern browser. These tools work on mobile devices as well as on chromebooks. They are hosted on github to make it easy to clone/modify, and have a GPL3 license. They can be found at https://www.cfht.hawaii.edu/~heather/

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