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LEMON: Differential photometry for humans (and astronomers)

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Ada Coda
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LEMON: Differential photometry for humans (and astronomers)

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

LEMON: Differential photometry for humans (and astronomers)

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://github.com/vterron/lemon
http://adsabs.harvard.edu/abs/2011hsa6.conf..755T


Preferred citation method: http://adsabs.harvard.edu/abs/2011hsa6.conf..755T
Last edited by Ada Coda on Fri Sep 07, 2018 9:50 am, edited 1 time in total.
Reason: Updated code entry.

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