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Processing GOTO survey data with the Rubin Observatory LSST Science Pipelines II: Forced Photometry and lightcurves

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Processing GOTO survey data with the Rubin Observatory LSST Science Pipelines II: Forced Photometry and lightcurves. / Makrygianni, L.; Mullaney, J.; Dhillon, V. et al.
In: Publications of the Astronomical Society of Australia, Vol. 38, e025, 31.12.2021.

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

Harvard

Makrygianni, L, Mullaney, J, Dhillon, V, Littlefair, S, Ackley, K, Dyer, MJ, 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, RP, 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, Strøm, PA, Tooke, S & Wiersema, K 2021, 'Processing GOTO survey data with the Rubin Observatory LSST Science Pipelines II: Forced Photometry and lightcurves', Publications of the Astronomical Society of Australia, vol. 38, e025. https://doi.org/10.1017/pasa.2021.19

APA

Makrygianni, L., Mullaney, J., Dhillon, V., Littlefair, S., Ackley, K., Dyer, M. J., 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 survey data with the Rubin Observatory LSST Science Pipelines II: Forced Photometry and lightcurves. Publications of the Astronomical Society of Australia, 38, Article e025. https://doi.org/10.1017/pasa.2021.19

Vancouver

Makrygianni L, Mullaney J, Dhillon V, Littlefair S, Ackley K, Dyer MJ et al. Processing GOTO survey data with the Rubin Observatory LSST Science Pipelines II: Forced Photometry and lightcurves. Publications of the Astronomical Society of Australia. 2021 Dec 31;38:e025. Epub 2021 Jun 4. doi: 10.1017/pasa.2021.19

Author

Makrygianni, L. ; Mullaney, J. ; Dhillon, V. et al. / Processing GOTO survey data with the Rubin Observatory LSST Science Pipelines II : Forced Photometry and lightcurves. In: Publications of the Astronomical Society of Australia. 2021 ; Vol. 38.

Bibtex

@article{af397c4a4b40460bb39935b62850af90,
title = "Processing GOTO survey data with the Rubin Observatory LSST Science Pipelines II: Forced Photometry and lightcurves",
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{\textquoteright}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.",
author = "L. Makrygianni and J. Mullaney and V. Dhillon and S. Littlefair and K. Ackley and Dyer, {M. J.} 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 Breton, {R. P.} 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 Str{\o}m, {P. A} and S. Tooke and K. Wiersema",
year = "2021",
month = dec,
day = "31",
doi = "10.1017/pasa.2021.19",
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 survey data with the Rubin Observatory LSST Science Pipelines II

T2 - Forced Photometry and lightcurves

AU - Makrygianni, L.

AU - Mullaney, J.

AU - Dhillon, V.

AU - Littlefair, S.

AU - Ackley, K.

AU - Dyer, M. J.

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. P.

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 - Strøm, P. A

AU - Tooke, S.

AU - Wiersema, K.

PY - 2021/12/31

Y1 - 2021/12/31

N2 - 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.

AB - 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.

U2 - 10.1017/pasa.2021.19

DO - 10.1017/pasa.2021.19

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 - e025

ER -