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. Pallé, D. Pollacco, E. ThraneS. Aukkaravittayapun, S. Awiphan, R. Breton, U. Burhanudin, P. Chote, A. Chrimes, E. Daw, C. Duffy, R. Eyles-Ferris, B. Gompertz, T. Heikkilä, P. Irawati, M. Kennedy, T. Killestein, A. Levan, T. Marsh, D. Mata-Sanchez, S. Mattila, J. Maund, J. McCormac, D. Mkrtichian, E. Rol, U. Sawangwit, E. Stanway, R. Starling, P. A. Strøm, S. Tooke, K. Wiersema

Research output: Contribution to journalArticlepeer-review

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 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 Panoramic Survey Telescope and Rapid Response System photometry and find that the two agree to within 10 mmag (1 ) for bright (i.e., ) sources to 200 mmag for faint (i.e., ) sources. Additionally, we compare our results to those obtained by GOTO’s own in-house pipeline, gotophoto, and obtain similar results. Based on repeatability measurements, we measure a L-band survey depth of between 19 and 20 magnitudes, depending on observing conditions. We assess, using repeated observations of non-varying standard Sloan Digital Sky Survey stars, the accuracy of our uncertainties, which we find are typically overestimated by roughly a factor of two for bright sources (i.e., ), but slightly underestimated (by roughly a factor of 1.25) for fainter sources ( ). Finally, we present lightcurves for a selection of variable sources and compare them to those obtained with the Zwicky Transient Factory and GAIA. Despite the LSST Software Pipelines still undergoing active development, our results show that they are already delivering robust forced photometry measurements from GOTO data.
Original languageEnglish
Article numbere025
Number of pages11
JournalPublications of the Astronomical Society of Australia
Volume38
DOIs
Publication statusPublished - 4 Jun 2021

Keywords

  • astro-ph.IM
  • astronomical data analysis
  • astronomy software
  • surveys
  • photometry
  • lightcurves

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