The publication detailing the workings of the Locus Algorithm, a technique to identify the best reference stars for a given target star and to calculate the corresponding telescope pointing to capture them all in the telescope field of view.
This publication details the working of the Locus Algorithm, a method to optimise a telescope pointing for a given stellar target so as to include the maximum number of best reference stars (stars with similar brightness and colour). This improves the quality of differential photometry, a technique that uses these reference stars to account for the effect of teh Earth’s atmosphere on incoming starlight. In this way, it is easier to detect changes in the intrinsic output from the target star. This is useful in, for example, exoplanet detection by the transit method.
The publication can be accessed (at least till mid February 2022) from this link.
If you see mistakes or want to suggest changes, please create an issue on the source repository.
Text and figures are licensed under Creative Commons Attribution CC BY 4.0. Source code is available at https://github.com/eugene100hickey/fizzics, unless otherwise noted. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".
For attribution, please cite this work as
Hickey (2022, Jan. 1). Euge: The Locus Algorithm: A novel technique for identifying optimised pointings for differential photometry. Retrieved from https://www.fizzics.ie/publications/2021-12-15-Locus_Algorithm/
BibTeX citation
@misc{hickey2022the,
author = {Hickey, Eugene},
title = {Euge: The Locus Algorithm: A novel technique for identifying optimised pointings for differential photometry},
url = {https://www.fizzics.ie/publications/2021-12-15-Locus_Algorithm/},
year = {2022}
}