Processing GOTO data with the Rubin Observatory LSST Science Pipelines II: Forced Photometry and light curves
L. Makrygianni, J. Mullaney, V. Dhillon, S. Littlefair, K. Ackley,, M.J. Dyer, J. Lyman, K. Ulaczyk, R. Cutter, Y.-L. Mong, D. Steeghs, D. K., Galloway, P. O'Brien, G. Ramsay, S. Poshyachinda, R. Kotak, L. Nuttall, E., Pall\'e, D. Pollacco, E. Thrane, S. Aukkaravittayapun

TL;DR
This paper demonstrates how the Rubin Observatory LSST Science Pipelines can be adapted for GOTO data, achieving precise forced photometry, reliable light curves, and comparable results to existing pipelines despite ongoing development.
Contribution
The paper presents the first application of LSST Science Pipelines to GOTO data, including forced photometry and light curve generation, with validation against other surveys and pipelines.
Findings
Photometry precision better than 20 mmag for sources brighter than 16 mag.
Photometry agreement within 10 mmag with PanSTARRS for bright sources.
Achieved a 5σ survey depth of 19-20 mag in the L-band.
Abstract
We have adapted the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) Science Pipelines to process data from the Gravitational-Wave Optical Transient Observer (GOTO) prototype. In this paper, we describe how we used the Rubin Observatory LSST Science Pipelines to conduct forced photometry measurements on nightly GOTO data. By comparing the photometry measurements of sources taken on multiple nights, we find that the precision of our photometry is typically better than 20~mmag for sources brighter than 16 mag. We also compare our photometry measurements against colour-corrected PanSTARRS photometry, and find that the two agree to within 10~mmag (1) for bright (i.e., ~mag) sources to 200~mmag for faint (i.e., ~mag) sources. Additionally, we compare our results to those obtained by GOTO's own in-house pipeline, {\sc gotophoto}, and…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
