Processing GOTO data with the Rubin Observatory LSST Science Pipelines I: Production of coadded frames
Dhillon V.; Sawangwit U.; Ulaczyk K.; Lyman J.; Levan A.; Mattila S.; Mullaney J. R.; Irawati P.; Dyer M.; Aukkaravittayapun S.; Cutter R.; Heikkilä T.; McCormac J.; Killestein T.; Maund J.; Kotak R.; Duffy C.; Ramsay G.; Poshyachinda S.; Littlefair S.; Tooke S.; Galloway D. K.; Stanway E.; Pallé E.; Mata-Sanchez D.; Nuttall L.; Ackley K.; Marsh T.; Makrygianni L.; Pollacco D.; Chote P.; Starling R.; Awiphan S.; Breton R.; Mong Y.-L.; Steeghs D.; Kennedy M.; Burhanudin U.; Chrimes A.; Eyles-Ferris R.; Rol E.; Mkrtichian D.; Daw E.; Gompertz B.; O’Brien P.; Thrane E.; Wiersema K.
https://urn.fi/URN:NBN:fi-fe2021042824263
Tiivistelmä
The past few decades have seen the burgeoning of wide-field, high-cadence surveys, the most formidable of which will be the Legacy Survey of
Space and Time (LSST) to be conducted by the Vera C. Rubin Observatory. So new is the field of systematic time-domain survey astronomy;
however, that major scientific insights will continue to be obtained using smaller, more flexible systems than the LSST. One such example
is the Gravitational-wave Optical Transient Observer (GOTO) whose primary science objective is the optical follow-up of gravitational
wave events. The amount and rate of data production by GOTO and other wide-area, high-cadence surveys presents a significant challenge
to data processing pipelines which need to operate in near-real time to fully exploit the time domain. In this study, we adapt the Rubin
Observatory LSST Science Pipelines to process GOTO data, thereby exploring the feasibility of using this ‘off-the-shelf’ pipeline to process
data from other wide-area, high-cadence surveys. In this paper, we describe how we use the LSST Science Pipelines to process raw GOTO
frames to ultimately produce calibrated coadded images and photometric source catalogues. After comparing the measured astrometry and
photometry to those of matched sources from PanSTARRS DR1, we find that measured source positions are typically accurate to subpixel
levels, and that measured L-band photometries are accurate to ∼ 50 mmag at mL ∼ 16 and ∼ 200 mmag at mL ∼ 18. These values compare
favourably to those obtained using GOTO’s primary, in-house pipeline, GOTOPHOTO, in spite of both pipelines having undergone further
development and improvement beyond the implementations used in this study. Finally, we release a generic ‘obs package’ that others can
build upon, should they wish to use the LSST Science Pipelines to process data from other facilities.
Keywords: astronomy data analysis – surveys – atrometry – photometry
Kokoelmat
- Rinnakkaistallenteet [19207]