| OHNO, Masanori, Norbert WERNER, András PÁL, László MÉSZÁROS, Yuto ICHINOHE, Jakub ŘÍPA, Martin TOPINKA, Filip MÜNZ, Gabór GALGÓCZI, Yasushi FUKAZAWA, Tsunefumi MIZUNO, Hiromitsu TAKAHASHI, Nagomi UCHIDA, Kento TORIGOE, Naoyoshi HIRADE, Kengo HIROSE, Hiroto MATAKE, Kazuhiro NAKAZAWA, Syohei HISADOMI, Hirokazu ODAKA, Teruaki ENOTO, Ján HUDEC, Jakub KAPUS, Martin KOLEDA a Robert LASZLO. The simulation framework of the timing-based localization for future all-sky gamma-ray observations with a fleet of CubeSats. Online. In Andrew D. Holland, James Beletic. Proc. SPIE 11454, X-Ray, Optical, and Infrared Detectors for Astronomy IX, 114541Z. Bellingham: Society of Photo-Optical Instrumentation Engineers (SPIE), 2020, s. "114541Z-1"-"114541Z-9", 9 s. ISBN 978-1-5106-3695-8. Dostupné z: https://dx.doi.org/10.1117/12.2562253. |
Další formáty:
BibTeX
LaTeX
RIS
@inproceedings{1724996,
author = {Ohno, Masanori and Werner, Norbert and Pál, András and Mészáros, László and Ichinohe, Yuto and Řípa, Jakub and Topinka, Martin and Münz, Filip and Galgóczi, Gabór and Fukazawa, Yasushi and Mizuno, Tsunefumi and Takahashi, Hiromitsu and Uchida, Nagomi and Torigoe, Kento and Hirade, Naoyoshi and Hirose, Kengo and Matake, Hiroto and Nakazawa, Kazuhiro and Hisadomi, Syohei and Odaka, Hirokazu and Enoto, Teruaki and Hudec, Ján and Kapus, Jakub and Koleda, Martin and Laszlo, Robert},
address = {Bellingham},
booktitle = {Proc. SPIE 11454, X-Ray, Optical, and Infrared Detectors for Astronomy IX, 114541Z},
doi = {http://dx.doi.org/10.1117/12.2562253},
editor = {Andrew D. Holland, James Beletic},
keywords = {GRBs; CubeSats; Machine-Learning},
howpublished = {elektronická verze "online"},
language = {eng},
location = {Bellingham},
isbn = {978-1-5106-3695-8},
pages = {"114541Z-1"-"114541Z-9"},
publisher = {Society of Photo-Optical Instrumentation Engineers (SPIE)},
title = {The simulation framework of the timing-based localization for future all-sky gamma-ray observations with a fleet of CubeSats},
url = {https://doi.org/10.1117/12.2562253},
year = {2020}
}
TY - JOUR
ID - 1724996
AU - Ohno, Masanori - Werner, Norbert - Pál, András - Mészáros, László - Ichinohe, Yuto - Řípa, Jakub - Topinka, Martin - Münz, Filip - Galgóczi, Gabór - Fukazawa, Yasushi - Mizuno, Tsunefumi - Takahashi, Hiromitsu - Uchida, Nagomi - Torigoe, Kento - Hirade, Naoyoshi - Hirose, Kengo - Matake, Hiroto - Nakazawa, Kazuhiro - Hisadomi, Syohei - Odaka, Hirokazu - Enoto, Teruaki - Hudec, Ján - Kapus, Jakub - Koleda, Martin - Laszlo, Robert
PY - 2020
TI - The simulation framework of the timing-based localization for future all-sky gamma-ray observations with a fleet of CubeSats
PB - Society of Photo-Optical Instrumentation Engineers (SPIE)
CY - Bellingham
SN - 9781510636958
KW - GRBs
KW - CubeSats
KW - Machine-Learning
UR - https://doi.org/10.1117/12.2562253
N2 - The timing-based localization, which utilize the triangulation principle with the different arrival time of gammaray photons, with a fleet of Cubesats is a unique and powerful solution for the future all-sky gamma-ray observation, which is a key for identification of the electromagnetic counterpart of the gravitational wave sources. The Cubesats Applied for MEasuring and Localising Transients (CAMELOT) mission is now being promoted by the Hungarian and Japanese collaboration with a basic concept of the nine Cubesats constellations in low earth orbit. The simulation framework for estimation of the localization capability has been developed including orbital parameters, an algorithm to estimate the expected observed profile of gamma-ray photons, finding the peak of the cross-correlation function, and a statistical method to find a best-fit position and its uncertainty. It is revealed that a degree-scale localization uncertainty can be achieved by the CAMELOT mission concept for bright short gamma-ray bursts, which could be covered by future large field of view ground-based telescopes. The new approach utilizing machine-learning approach is also investigated to make the procedure automated for the future large scale constellations. The trained neural network with 106 simulated light curves generated by the artificial short burst templates successfully predicts the time-delay of the real light curve and achieves a comparable performance to the cross-correlation algorithm with full automated procedures.
ER -
OHNO, Masanori, Norbert WERNER, András PÁL, László MÉSZÁROS, Yuto ICHINOHE, Jakub ŘÍPA, Martin TOPINKA, Filip MÜNZ, Gabór GALGÓCZI, Yasushi FUKAZAWA, Tsunefumi MIZUNO, Hiromitsu TAKAHASHI, Nagomi UCHIDA, Kento TORIGOE, Naoyoshi HIRADE, Kengo HIROSE, Hiroto MATAKE, Kazuhiro NAKAZAWA, Syohei HISADOMI, Hirokazu ODAKA, Teruaki ENOTO, Ján HUDEC, Jakub KAPUS, Martin KOLEDA a Robert LASZLO. The simulation framework of the timing-based localization for future all-sky gamma-ray observations with a fleet of CubeSats. Online. In Andrew D. Holland, James Beletic. \textit{Proc. SPIE 11454, X-Ray, Optical, and Infrared Detectors for Astronomy IX, 114541Z}. Bellingham: Society of Photo-Optical Instrumentation Engineers (SPIE), 2020, s.~''114541Z-1''-''114541Z-9'', 9 s. ISBN~978-1-5106-3695-8. Dostupné z: https://dx.doi.org/10.1117/12.2562253.
|
