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TraP: Transients discovery pipeline for image-plane surveys

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Ada Coda
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TraP: Transients discovery pipeline for image-plane surveys

Postby Ada Coda » Wed Dec 31, 2014 5:08 pm

TraP: Transients discovery pipeline for image-plane surveys

Abstract: The TraP is a pipeline for detecting and responding to transient and variable sources in a stream of astronomical images. Images are initially processed using a pure-Python source-extraction package, PySE (ascl:1805.026), which is bundled with the TraP. Source positions and fluxes are then loaded into a SQL database for association and variability detection. The database structure allows for estimation of past upper limits on newly detected sources, and for forced fitting of previously detected sources which have since dropped below the blind-extraction threshold. Developed with LOFAR data in mind, the TraP has been used with data from other radio observatories.

Credit: TraP contributors

Site: https://github.com/transientskp/tkp
http://adsabs.harvard.edu/abs/2018MNRAS.474.3280F

Bibcode: 2014ascl.soft12011T

Preferred citation method: http://adsabs.harvard.edu/abs/2015A%26C....11...25S and http://adsabs.harvard.edu/abs/2014ascl.soft12011T

ID: ascl:1412.011
Last edited by Ada Coda on Wed May 30, 2018 10:34 am, edited 1 time in total.
Reason: Updated code entry.

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