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Processing GOTO data with the Rubin Observatory LSST Science Pipelines I: Production of coadded frames

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Processing GOTO data with the Rubin Observatory LSST Science Pipelines I: Production of coadded frames. / Mullaney, James; Makrygianni, L.; Dhillon, V. et al.
In: Publications of the Astronomical Society of Australia, Vol. 38, e004, 31.12.2021.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Mullaney, J, Makrygianni, L, Dhillon, V, Littlefair, S, Ackley, K, Dyer, M, Lyman, J, Ulaczyk, K, Cutter, R, Mong, Y-L, Steeghs, D, Galloway, DK, O’Brien, P, Ramsay, G, Poshyachinda, S, Kotak, R, Nuttall, L, Pallé, E, Pollacco, D, Thrane, E, Aukkaravittayapun, S, Awiphan, S, Breton, R, Burhanudin, U, Chote, P, Chrimes, A, Daw, E, Duffy, C, Eyles-Ferris, R, Gompertz, B, Heikkilä, T, Irawati, P, Kennedy, M, Killestein, T, Levan, A, Marsh, T, Mata-Sanchez, D, Mattila, S, Maund, J, McCormac, J, Mkrtichian, D, Rol, E, Sawangwit, U, Stanway, E, Starling, R, Tooke, S & Wiersema, K 2021, 'Processing GOTO data with the Rubin Observatory LSST Science Pipelines I: Production of coadded frames', Publications of the Astronomical Society of Australia, vol. 38, e004. https://doi.org/10.1017/pasa.2020.45

APA

Mullaney, J., Makrygianni, L., Dhillon, V., Littlefair, S., Ackley, K., Dyer, M., Lyman, J., Ulaczyk, K., Cutter, R., Mong, Y.-L., Steeghs, D., Galloway, D. K., O’Brien, P., Ramsay, G., Poshyachinda, S., Kotak, R., Nuttall, L., Pallé, E., Pollacco, D., ... Wiersema, K. (2021). Processing GOTO data with the Rubin Observatory LSST Science Pipelines I: Production of coadded frames. Publications of the Astronomical Society of Australia, 38, Article e004. https://doi.org/10.1017/pasa.2020.45

Vancouver

Mullaney J, Makrygianni L, Dhillon V, Littlefair S, Ackley K, Dyer M et al. Processing GOTO data with the Rubin Observatory LSST Science Pipelines I: Production of coadded frames. Publications of the Astronomical Society of Australia. 2021 Dec 31;38:e004. Epub 2021 Jan 18. doi: 10.1017/pasa.2020.45

Author

Mullaney, James ; Makrygianni, L. ; Dhillon, V. et al. / Processing GOTO data with the Rubin Observatory LSST Science Pipelines I : Production of coadded frames. In: Publications of the Astronomical Society of Australia. 2021 ; Vol. 38.

Bibtex

@article{1c180e55dd194c8eaa0c8aa68d819c69,
title = "Processing GOTO data with the Rubin Observatory LSST Science Pipelines I: Production of coadded frames",
abstract = "Abstract 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 {\textquoteleft}off-the-shelf{\textquoteright} 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 m_L~6 and ~200 mmag at m_L~18. These values compare favourably to those obtained using GOTO{\textquoteright}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 {\textquoteleft}obs package{\textquoteright} that others can build upon, should they wish to use the LSST Science Pipelines to process data from other facilities.",
author = "James Mullaney and L. Makrygianni and V. Dhillon and S. Littlefair and K. Ackley and M. Dyer and J. Lyman and K. Ulaczyk and R. Cutter and Y.-L. Mong and D. Steeghs and Galloway, {D. K.} and P. O{\textquoteright}Brien and G. Ramsay and S. Poshyachinda and R. Kotak and L. Nuttall and E. Pall{\'e} and D. Pollacco and E. Thrane and S. Aukkaravittayapun and S. Awiphan and R. Breton and U. Burhanudin and P. Chote and A. Chrimes and E. Daw and C. Duffy and R. Eyles-Ferris and B. Gompertz and T. Heikkil{\"a} and P. Irawati and M. Kennedy and T. Killestein and A. Levan and T. Marsh and D. Mata-Sanchez and S. Mattila and J. Maund and J. McCormac and D. Mkrtichian and E. Rol and U. Sawangwit and E. Stanway and R. Starling and S. Tooke and K. Wiersema",
year = "2021",
month = dec,
day = "31",
doi = "10.1017/pasa.2020.45",
language = "English",
volume = "38",
journal = "Publications of the Astronomical Society of Australia",
issn = "1323-3580",
publisher = "Cambridge University Press",

}

RIS

TY - JOUR

T1 - Processing GOTO data with the Rubin Observatory LSST Science Pipelines I

T2 - Production of coadded frames

AU - Mullaney, James

AU - Makrygianni, L.

AU - Dhillon, V.

AU - Littlefair, S.

AU - Ackley, K.

AU - Dyer, M.

AU - Lyman, J.

AU - Ulaczyk, K.

AU - Cutter, R.

AU - Mong, Y.-L.

AU - Steeghs, D.

AU - Galloway, D. K.

AU - O’Brien, P.

AU - Ramsay, G.

AU - Poshyachinda, S.

AU - Kotak, R.

AU - Nuttall, L.

AU - Pallé, E.

AU - Pollacco, D.

AU - Thrane, E.

AU - Aukkaravittayapun, S.

AU - Awiphan, S.

AU - Breton, R.

AU - Burhanudin, U.

AU - Chote, P.

AU - Chrimes, A.

AU - Daw, E.

AU - Duffy, C.

AU - Eyles-Ferris, R.

AU - Gompertz, B.

AU - Heikkilä, T.

AU - Irawati, P.

AU - Kennedy, M.

AU - Killestein, T.

AU - Levan, A.

AU - Marsh, T.

AU - Mata-Sanchez, D.

AU - Mattila, S.

AU - Maund, J.

AU - McCormac, J.

AU - Mkrtichian, D.

AU - Rol, E.

AU - Sawangwit, U.

AU - Stanway, E.

AU - Starling, R.

AU - Tooke, S.

AU - Wiersema, K.

PY - 2021/12/31

Y1 - 2021/12/31

N2 - Abstract 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 m_L~6 and ~200 mmag at m_L~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.

AB - Abstract 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 m_L~6 and ~200 mmag at m_L~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.

U2 - 10.1017/pasa.2020.45

DO - 10.1017/pasa.2020.45

M3 - Journal article

VL - 38

JO - Publications of the Astronomical Society of Australia

JF - Publications of the Astronomical Society of Australia

SN - 1323-3580

M1 - e004

ER -