Zobrazeno 1 - 10
of 257
pro vyhledávání: '"P. Chote"'
The determination of the full population of Resident Space Objects (RSOs) in Low Earth Orbit (LEO) is a key issue in the field of space situational awareness that will only increase in importance in the coming years. We endeavour to describe a novel
Externí odkaz:
http://arxiv.org/abs/2408.04966
Autor:
Killestein, T. L., Kelsey, L., Wickens, E., Nuttall, L., Lyman, J., Krawczyk, C., Ackley, K., Dyer, M. J., Jiménez-Ibarra, F., Ulaczyk, K., O'Neill, D., Kumar, A., Steeghs, D., Galloway, D. K., Dhillon, V. S., O'Brien, P., Ramsay, G., Noysena, K., Kotak, R., Breton, R. P., Pallé, E., Pollacco, D., Awiphan, S., Belkin, S., Chote, P., Clark, P., Coppejans, D., Duffy, C., Eyles-Ferris, R., Godson, B., Gompertz, B., Graur, O., Irawati, P., Jarvis, D., Julakanti, Y., Kennedy, M. R., Kuncarayakti, H., Levan, A., Littlefair, S., Magee, M., Mandhai, S., Sánchez, D. Mata, Mattila, S., McCormac, J., Mullaney, J., Munday, J., Patel, M., Pursiainen, M., Rana, J., Sawangwit, U., Stanway, E., Starling, R., Warwick, B., Wiersema, K.
Time-domain astrophysics continues to grow rapidly, with the inception of new surveys drastically increasing data volumes. Democratised, distributed approaches to training sets for machine learning classifiers are crucial to make the most of this tor
Externí odkaz:
http://arxiv.org/abs/2406.02334
Autor:
Cooke, Benjamin F., Chote, Paul, Pollacco, Don, West, Richard, Blake, James A., McCormac, James, Airey, Robert, Shrive, Billy
We present the methodology and results of a simulation to determine the recoverability of LEO objects using a blind stacking technique. The method utilises sCMOS and GPU technology to inject and recover LEO objects in real observed data. We explore t
Externí odkaz:
http://arxiv.org/abs/2305.01415
Autor:
Mong, Y. -L., Ackley, K., Killestein, T. L., Galloway, D. K., Dyer, M., Cutter, R., Brown, M. J. I., Lyman, J., Ulaczyk, K., Steeghs, D., Dhillon, V., O'Brien, P., Ramsay, G., Noysena, K., Kotak, R., Breton, R., Nuttall, L., Palle, E., Pollacco, D., Thrane, E., Awiphan, S., Burhanudin, U., Chote, P., Chrimes, A., Daw, E., Duffy, C., Eyles-Ferris, R., Gompertz, B. P., Heikkila, T., Irawati, P., Kennedy, M., Levan, A., Littlefair, S., Makrygianni, L., Marsh, T., Sanchez, D. Mata, Mattila, S., Maund, J. R., McCormac, J., Mkrtichian, D., Mullaney, J., Rol, E., Sawangwit, U., Stanway, E., Starling, R., Strom, P., Tooke, S., Wiersema, K.
Developing an effective automatic classifier to separate genuine sources from artifacts is essential for transient follow-ups in wide-field optical surveys. The identification of transient detections from the subtraction artifacts after the image dif
Externí odkaz:
http://arxiv.org/abs/2209.06375
Autor:
Wiersema, K., Chote, P., Marchant, J., Covino, S., Maund, J. R., Agathanggelou, A., Feline, W., George, S., Privett, G., Simmons, B., Steele, I. A.
Large constellations of orbiting communication satellites will become an important source of noise for present and future astronomical observatories. Mitigation measures rely on high quality predictive models of the position and expected brightness o
Externí odkaz:
http://arxiv.org/abs/2207.12981
Autor:
Steeghs, D., Galloway, D. K., Ackley, K., Dyer, M. J., Lyman, J., Ulaczyk, K., Cutter, R., Mong, Y. L., Dhillon, V., O'Brien, P., Ramsay, G., Poshyachinda, S., Kotak, R., Nuttall, L. K., Palle, E., Breton, R. P., Pollacco, D., Thrane, E., Aukkaravittayapun, S., Awiphan, S., Burhanudin, U., Chote, P., Chrimes, A., Daw, E., Duffy, C., Eyles-Ferris, R., Gompertz, B., Heikkila, T., Irawati, P., Kennedy, M. R., Killestein, T., Kuncarayakti, H., Levan, A. J., Littlefair, S., Makrygianni, L., Marsh, T., Mata-Sanchez, D., Mattila, S., Maund, J., McCormac, J., Mkrtichian, D., Mullaney, J., Noysena, K., Patel, M., Rol, E., Sawangwit, U., Stanway, E. R., Starling, R., Strom, P., Tooke, S., West, R., White, D. J., Wiersema, K.
The Gravitational-wave Optical Transient Observer (GOTO) is an array of wide-field optical telescopes, designed to exploit new discoveries from the next generation of gravitational wave detectors (LIGO, Virgo, KAGRA), study rapidly evolving transient
Externí odkaz:
http://arxiv.org/abs/2110.05539
Autor:
Mong, Y. -L., Ackley, K., Galloway, D. K., Dyer, M., Cutter, R., Brown, M. J. I., Lyman, J., Ulaczyk, K., Steeghs, D., Dhillon, V., OBrien, P., Ramsay, G., Noysena, K., Kotak, R., Breton, R., Nuttall, L., Palle, E., Pollacco, D., Thrane, E., Awiphan, S., Burhanudin, U., Chote, P., Chrimes, A., Daw, E., Duffy, C., Eyles-Ferris, R., Gompertz, B., Heikkila, T., Irawati, P., Kennedy, M., Killestein, T., Levan, A., Littlefair, S., Makrygianni, L., Marsh, T., Mata-Sanchez, D., Mattila, S., Maund, J., McCormac, J., Mkrtichian, D., Mullaney, J., Rol, E., Sawangwit, U., Stanway, E., Starling, R., Strom, P., Tooke, S., Wiersema, K.
The typical detection rate of $\sim1$ gamma-ray burst (GRB) per day by the \emph{Fermi} Gamma-ray Burst Monitor (GBM) provides a valuable opportunity to further our understanding of GRB physics. However, the large uncertainty of the \emph{Fermi} loca
Externí odkaz:
http://arxiv.org/abs/2108.11802
Autor:
Burhanudin, U. F., Maund, J. R., Killestein, T., Ackley, K., Dyer, M. J., Lyman, J., Ulaczyk, K., Cutter, R., Mong, Y. -L., Steeghs, D., Galloway, D. K., Dhillon, V., O'Brien, P., Ramsay, G., Noysena, K., Kotak, R., Breton, R. P., Nuttall, L., Pallé, E., Pollacco, D., Thrane, E., Awiphan, S., Chote, P., Chrimes, A., Daw, E., Duffy, C., Eyles-Ferris, R., Gompertz, B., Heikkilä, T., Irawati, P., Kennedy, M. R., Levan, A., Littlefair, S., Makrygianni, L., Mata-Sánchez, D., Mattila, S., McCormac, J., Mkrtichian, D., Mullaney, J., Sawangwit, U., Stanway, E., Starling, R., Strøm, P., Tooke, S., Wiersema, K.
The advent of wide-field sky surveys has led to the growth of transient and variable source discoveries. The data deluge produced by these surveys has necessitated the use of machine learning (ML) and deep learning (DL) algorithms to sift through the
Externí odkaz:
http://arxiv.org/abs/2105.11169
Autor:
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., 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., Strøm, P. A., Tooke, S., Wiersema, K.
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 Rubin Observato
Externí odkaz:
http://arxiv.org/abs/2105.05128
Autor:
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., Aukkaravittayapun, S., Awiphan, S., Burhanudin, U., Chote, P., Chrimes, A., Daw, E., Duffy, C., Eyles-Ferris, R., Gompertz, B., Heikkilä, T., Irawati, P., Kennedy, M. R., Levan, A., Littlefair, S., Makrygianni, L., Sánchez, D. Mata, Mattila, S., Maund, J., McCormac, J., Mkrtichian, D., Mullaney, J., Rol, E., Sawangwit, U., Stanway, E., Starling, R., Strøm, P. A., Tooke, S., Wiersema, K., Williams, S. C.
Large-scale sky surveys have played a transformative role in our understanding of astrophysical transients, only made possible by increasingly powerful machine learning-based filtering to accurately sift through the vast quantities of incoming data g
Externí odkaz:
http://arxiv.org/abs/2102.09892