LEMON: Differential photometry for humans (and astronomers)

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Ada Coda
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LEMON: Differential photometry pipeline

Post by Ada Coda » Tue Sep 04, 2018 3:03 pm

LEMON: Differential photometry pipeline

Abstract: LEMON is a differential-photometry pipeline, written in Python, that determines the changes in the brightness of astronomical objects over time and compiles their measurements into light curves. This code makes it possible to completely reduce thousands of FITS images of time series in a matter of only a few hours, requiring minimal user interaction.

Credit: Terrón, Víctor

Site: https://lemon.readthedocs.io/en/stable/

Bibcode: 2018ascl.soft09001T

Preferred citation method: http://adsabs.harvard.edu/abs/2011hsa6.conf..755T

ID: ascl:1809.001
Last edited by Ada Coda on Wed Jan 23, 2019 4:42 am, edited 1 time in total.
Reason: Updated code entry.

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