TY - JOUR
T1 - The taos ii survey
T2 - Real-time detection and characterization of occultation events
AU - Huang, Chung Kai
AU - Lehner, Matthew J.
AU - Contreras, Agueda Paula Granados
AU - Castro-Chacón, Joel H.
AU - Chen, Wen Ping
AU - Alcock, Charles
AU - Alvarez-Santana, Fernando I.
AU - Cook, Kem H.
AU - Geary, John C.
AU - Peña, Carlos Alberto Guerrero
AU - Hernández-águila, Joannes Bosco
AU - Hernández-Valencia, Benjamín
AU - Karr, Jennifer
AU - Kavelaars, J. J.
AU - Norton, Timothy
AU - Nuñez, Juan Manuel
AU - Ochoa, Diego
AU - Reyes-Ruiz, Mauricio
AU - Sánchez, Edilberto
AU - Silva, José Sergio
AU - Szentgyorgyi, Andrew
AU - Wang, Shiang Yu
AU - Yen, Wei Ling
AU - Zhang, Zhi Wei
N1 - Publisher Copyright:
© Canadian 2021 Crown copyright & IOP Publishing Ltd.
PY - 2021
Y1 - 2021
N2 - The Transneptunian Automated Occultation Survey (TAOS II) is a blind occultation survey with the aim of measuring the size distribution of Trans-Neptunian Objects with diameters in the range of 0.3 ≲ D ≲ 30 km. TAOS II will observe as many as 10,000 stars at a cadence of 20 Hz with all three telescopes simultaneously. This will produce up to ∼20 billion photometric measurements per night, and as many as ∼6 trillion measurements per year, corresponding to over 70 million individual light curves. A very fast analysis pipeline for event detection and characterization is needed to handle this massive data set. The pipeline should be capable of real-time detection of events (within 24 hours of observations) for follow-up observations of any occultations by larger TNOs. In addition, the pipeline should be fast and scalable for large simulations where simulated events are added to the observed light curves to measure detection efficiency and biases in event characterization. Finally, the pipeline should provide estimates of the size of and distance to any occulting objects, including those with non-spherical shapes. This paper describes a new data analysis pipeline for the detection and characterization of occultation events.
AB - The Transneptunian Automated Occultation Survey (TAOS II) is a blind occultation survey with the aim of measuring the size distribution of Trans-Neptunian Objects with diameters in the range of 0.3 ≲ D ≲ 30 km. TAOS II will observe as many as 10,000 stars at a cadence of 20 Hz with all three telescopes simultaneously. This will produce up to ∼20 billion photometric measurements per night, and as many as ∼6 trillion measurements per year, corresponding to over 70 million individual light curves. A very fast analysis pipeline for event detection and characterization is needed to handle this massive data set. The pipeline should be capable of real-time detection of events (within 24 hours of observations) for follow-up observations of any occultations by larger TNOs. In addition, the pipeline should be fast and scalable for large simulations where simulated events are added to the observed light curves to measure detection efficiency and biases in event characterization. Finally, the pipeline should provide estimates of the size of and distance to any occulting objects, including those with non-spherical shapes. This paper describes a new data analysis pipeline for the detection and characterization of occultation events.
KW - Astronomy data modeling
KW - Light curves
KW - Stellar occultation
KW - Time domain astronomy
KW - Trans-Neptunian objects
UR - http://www.scopus.com/inward/record.url?scp=85103857921&partnerID=8YFLogxK
U2 - 10.1088/1538-3873/abd4bc
DO - 10.1088/1538-3873/abd4bc
M3 - 期刊論文
AN - SCOPUS:85103857921
VL - 133
JO - Publications of the Astronomical Society of the Pacific
JF - Publications of the Astronomical Society of the Pacific
SN - 0004-6280
IS - 1021
M1 - 034503
ER -