Dissertation/Thesis Abstract

A Domain-Specific Language for Documentation of Amateur Astronomy Observations
by Lesher, Kevin M., M.S., Kutztown University of Pennsylvania, 2019, 162; 13862164
Abstract (Summary)

Many amateur astronomers keep detailed information about their observations, but often limit themselves to pen and paper records. Over time, it can be easy to accumulate a large number of observations that are difficult to use, search, and maintain. Some astronomers alleviate this problem by using a computer to record their observation data in a digital format, but this can prove difficult for astronomers who are not as proficient in using a computer. In either case, this can create a significant amount of data which has been recorded but is rarely shared with the astronomy community.

In order to encourage the recording of observation data in a digital form, the author created computer language specifically targeted towards astronomy documentation. This computer language allows the astronomer to focus on documenting their observations using familiar notation.

The constructs of the language are written using a notation similar to what is used when recording observations in a more traditional way. The language developed is intuitive to those who are familiar with the way that astronomical observations are recorded. Once recorded, this information is compiled into a format that can be processed by a computer. The goal is a repository of observational data into which users can upload information about their observations. The combined observations of many astronomers will be able to be easily searched and sorted by a number of useful parameters.

Indexing (document details)
Advisor: Frye, Lisa, Parson, Dale E.
Commitee:
School: Kutztown University of Pennsylvania
Department: Computer and Information Science
School Location: United States -- Pennsylvania
Source: MAI 58/06M(E), Masters Abstracts International
Source Type: DISSERTATION
Subjects: Astronomy, Language, Information science, Computer science
Keywords: Documentation, Domain-specific, Observation, domain-specific language
Publication Number: 13862164
ISBN: 9781392232668
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