TRIPP: A General Purpose Data Pipeline for Astronomical Image Processing

Alex Thomas; Natalie LeBaron; Luca Angeleri; Samuel Whitebook; Rachel Darlinger; Phillip Morgan; Varun Iyer; Prerana Kottapalli; Enda Mao; Jasper Webb; Dharv Patel; Kyle Lam; Kelvin Yip; Michael McDonald; Robby Odum; Cole Slenkovich; Yael Brynjegard-Bialik; Nicole Efstathiu; Joshua Perkins; Ryan Kuo; Audrey O'Malley; Alec Wang; Ben Fogiel; Sam Salters; Marlon Munoz; Ruiyang Wang; Natalie Kim; Lee Fowler; Philip Lubin

arXiv · 2501.18142

TRIPP: A General Purpose Data Pipeline for Astronomical Image Processing

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Abstract

We present the TRansient Image Processing Pipeline (TRIPP), a transient and variable source detection pipeline that employs both difference imaging and light curve analysis techniques for astronomical data. Additionally, we demonstrate TRIPP's rapid analysis capability by detecting transient candidates in near-real time. TRIPP was tested using image data of the supernova SN2023ixf and from the Local Galactic Transient Survey (LGTS, Thomas et al. (2025)) collected by the Las Cumbres Observatory's (LCO) network of 0.4 m telescopes. To verify the methods employed by TRIPP, we compare our results to published findings on the photometry of SN2023ixf. Additionally, we report the ability of TRIPP to detect transient signals from optical Search for Extra Terrestrial Intelligence (SETI) sources.

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Alex Thomas, Natalie LeBaron, Luca Angeleri, Samuel Whitebook, Rachel Darlinger, Phillip Morgan, Varun Iyer, Prerana Kottapalli, Enda Mao, Jasper Webb, Dharv Patel, Kyle Lam, Kelvin Yip, Michael McDonald, Robby Odum, Cole Slenkovich, Yael Brynjegard-Bialik, Nicole Efstathiu, Joshua Perkins, Ryan Kuo, Audrey O'Malley, Alec Wang, Ben Fogiel, Sam Salters, Marlon Munoz, Ruiyang Wang, Natalie Kim, Lee Fowler, Philip Lubin. 2025-01-30. TRIPP: A General Purpose Data Pipeline for Astronomical Image Processing. https://arxiv.org/abs/2501.18142

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