Transient-optimized real-bogus classification with Bayesian convolutional neural networks - sifting the GOTO candidate stream

T.~L. Killestein; J. Lyman; D. Steeghs; K. Ackley; M.~J. Dyer; K. Ulaczyk; R. Cutter; Y. -L. Mong; D.~K. Galloway; V. Dhillon; P. O'Brien; G. Ramsay; S. Poshyachinda; R. Kotak; R.~P. Breton; L.~K. Nuttall; E. Pallé; D. Pollacco; E. Thrane; S. Aukkaravittayapun; S. Awiphan; U. Burhanudin; P. Chote; A. Chrimes; E. Daw; C. Duffy; R. Eyles-Ferris; B. Gompertz; T. Heikkilä; P. Irawati; M.~R. Kennedy; A. Levan; S. Littlefair; L. Makrygianni; D. Mata Sánchez; S. Mattila; J. Maund; J. McCormac; D. Mkrtichian; J. Mullaney; E. Rol; U. Sawangwit; E. Stanway; R. Starling; P.~A. Strøm; S. Tooke; K. Wiersema; S.~C. Williams

doi:10.1093/mnras/stab633

Transient-optimized real-bogus classification with Bayesian convolutional neural networks - sifting the GOTO candidate stream

T.~L. Killestein
, J. Lyman
, D. Steeghs
, K. Ackley
, M.~J. Dyer
, K. Ulaczyk
, R. Cutter
, Y. -L. Mong
, D.~K. Galloway
, V. Dhillon
, P. O'Brien
, G. Ramsay
, S. Poshyachinda
, R. Kotak
, R.~P. Breton
, L.~K. Nuttall
, E. Pallé
, D. Pollacco
, E. Thrane
, S. Aukkaravittayapun

S. Awiphan, U. Burhanudin, P. Chote, A. Chrimes, E. Daw, C. Duffy, R. Eyles-Ferris, B. Gompertz, T. Heikkilä, P. Irawati, M.~R. Kennedy, A. Levan, S. Littlefair, L. Makrygianni, D. Mata Sánchez, S. Mattila, J. Maund, J. McCormac, D. Mkrtichian, J. Mullaney, E. Rol, U. Sawangwit, E. Stanway, R. Starling, P.~A. Strøm, S. Tooke, K. Wiersema, S.~C. Williams

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	4838-4854
Number of pages	17
Journal	MNRAS
Volume	503
Issue number	4
DOIs	https://doi.org/10.1093/mnras/stab633
Publication status	Published - 1 May 2021

Keywords

methods: data analysis
techniques: photometric
surveys
Astrophysics - Instrumentation and Methods for Astrophysics
Astrophysics - High Energy Astrophysical Phenomena

Access to Document

10.1093/mnras/stab633

Cite this

Killestein, T. L., Lyman, J., Steeghs, D., Ackley, K., Dyer, M. J., Ulaczyk, K., Cutter, R., Mong, Y. .-L., Galloway, D. K., Dhillon, V., O'Brien, P., Ramsay, G., Poshyachinda, S., Kotak, R., Breton, R. P., Nuttall, L. K., Pallé, E., Pollacco, D., Thrane, E., ... Williams, S. C. (2021). Transient-optimized real-bogus classification with Bayesian convolutional neural networks - sifting the GOTO candidate stream. MNRAS, 503(4), 4838-4854. https://doi.org/10.1093/mnras/stab633

@article{bc668c05e05a4c0ca8f06e9277464eea,

title = "Transient-optimized real-bogus classification with Bayesian convolutional neural networks - sifting the GOTO candidate stream",

keywords = "methods: data analysis, techniques: photometric, surveys, Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - High Energy Astrophysical Phenomena",

author = "T.\textasciitilde{}L. Killestein and J. Lyman and D. Steeghs and K. Ackley and M.\textasciitilde{}J. Dyer and K. Ulaczyk and R. Cutter and Mong, \{Y. -L.\} and D.\textasciitilde{}K. Galloway and V. Dhillon and P. O'Brien and G. Ramsay and S. Poshyachinda and R. Kotak and R.\textasciitilde{}P. Breton and L.\textasciitilde{}K. Nuttall and E. Pall{\'e} and D. Pollacco and E. Thrane and S. Aukkaravittayapun and S. Awiphan 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.\textasciitilde{}R. Kennedy and A. Levan and S. Littlefair and L. Makrygianni and \{Mata S{\'a}nchez\}, D. and S. Mattila and J. Maund and J. McCormac and D. Mkrtichian and J. Mullaney and E. Rol and U. Sawangwit and E. Stanway and R. Starling and P.\textasciitilde{}A. Str{\o}m and S. Tooke and K. Wiersema and S.\textasciitilde{}C. Williams",

year = "2021",

month = may,

day = "1",

doi = "10.1093/mnras/stab633",

language = "English",

volume = "503",

pages = "4838--4854",

journal = "MNRAS",

issn = "1365-2966",

publisher = "Oxford University Press",

number = "4",

}

Killestein, TL, Lyman, J, Steeghs, D, Ackley, K, Dyer, MJ, Ulaczyk, K, Cutter, R, Mong, Y-L, Galloway, DK, Dhillon, V, O'Brien, P, Ramsay, G, Poshyachinda, S, Kotak, R, Breton, RP, Nuttall, LK, Pallé, E, Pollacco, D, Thrane, E, Aukkaravittayapun, S, Awiphan, S, Burhanudin, U, Chote, P, Chrimes, A, Daw, E, Duffy, C, Eyles-Ferris, R, Gompertz, B, Heikkilä, T, Irawati, P, Kennedy, MR, Levan, A, Littlefair, S, Makrygianni, L, Mata Sánchez, D, Mattila, S, Maund, J, McCormac, J, Mkrtichian, D, Mullaney, J, Rol, E, Sawangwit, U, Stanway, E, Starling, R, Strøm, PA, Tooke, S, Wiersema, K & Williams, SC 2021, 'Transient-optimized real-bogus classification with Bayesian convolutional neural networks - sifting the GOTO candidate stream', MNRAS, vol. 503, no. 4, pp. 4838-4854. https://doi.org/10.1093/mnras/stab633

TY - JOUR

T1 - Transient-optimized real-bogus classification with Bayesian convolutional neural networks - sifting the GOTO candidate stream

AU - Killestein, T.~L.

AU - Lyman, J.

AU - Steeghs, D.

AU - Ackley, K.

AU - Dyer, M.~J.

AU - Ulaczyk, K.

AU - Cutter, R.

AU - Mong, Y. -L.

AU - Galloway, D.~K.

AU - Dhillon, V.

AU - O'Brien, P.

AU - Ramsay, G.

AU - Poshyachinda, S.

AU - Kotak, R.

AU - Breton, R.~P.

AU - Nuttall, L.~K.

AU - Pallé, E.

AU - Pollacco, D.

AU - Thrane, E.

AU - Aukkaravittayapun, S.

AU - Awiphan, S.

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.~R.

AU - Levan, A.

AU - Littlefair, S.

AU - Makrygianni, L.

AU - Mata Sánchez, D.

AU - Mattila, S.

AU - Maund, J.

AU - McCormac, J.

AU - Mkrtichian, D.

AU - Mullaney, J.

AU - Rol, E.

AU - Sawangwit, U.

AU - Stanway, E.

AU - Starling, R.

AU - Strøm, P.~A.

AU - Tooke, S.

AU - Wiersema, K.

AU - Williams, S.~C.

PY - 2021/5/1

Y1 - 2021/5/1

KW - methods: data analysis

KW - techniques: photometric

KW - surveys

KW - Astrophysics - Instrumentation and Methods for Astrophysics

KW - Astrophysics - High Energy Astrophysical Phenomena

U2 - 10.1093/mnras/stab633

DO - 10.1093/mnras/stab633

M3 - Article

SN - 1365-2966

VL - 503

SP - 4838

EP - 4854

JO - MNRAS

JF - MNRAS

IS - 4

ER -