About: This notebook contains code modules that allow for the downloading of time-series photometry data from MAST given a target TIC number. Additional packages include a period finder and data detrender for ELC implementation.
After opening the notebook with jupyter notebook
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Specify the download path and choose a target TIC number for a binary star system with visible transits.
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Run the cells until reaching the File Reader section.
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Select the TESS cadence to be considered when conducting light curve analysis.
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Use the string length module to find the period within a specified range and step size.
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Adjust the phase plot to fit the primary and secondary eclipses exactly.
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Use the detrender to produce a detrended light curve centered around the eclipse time. This prepares the file for light curve synthesis codes, such as ELC (Oros & Hauschildt 2000). For the extended width parameter, make sure the extension would cover sufficient area out of eclipse in the phase plot while also not contacting other eclipses.
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Run the remaining cells to save the detrended data to a file
jupyter notebook
numpy
astroquery
astropy
matplotlib
os
json
requests
pandas
sklearn
scipy
To install this repository git clone https://github.com/benjamin-pieczynski/TESS_downloader_detrender and open with jupyter notebook
Adding more options to the detrender other than just binary star eclipses.