Automated detection of Coronal Mass Ejections in Visible Emission Line Coronagraph (VELC) on-board ADITYA-L1

Patel, Ritesh; Amareswari, K.; Pant, Vaibhav; Banerjee, D.; Sankarasubramanian, K.

doi:10.1017/s174392131800193x

Cited by 2 publications

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“…Additionally, Bemporad et al (2014); Patel et al (2018) present on-board autonomous CME detection algorithms for the Solar Orbiter METIS and ADITYA -L1 missions, respectively that are based on intensity and area thresholding in difference images. Such processing methods aboard coronagraphs may significantly reduce the telemetry some 85 % whilst ensuring a CME detection rate of 70 %.…”

Section: Introductionmentioning

confidence: 99%

“…Such processing methods aboard coronagraphs may significantly reduce the telemetry some 85 % whilst ensuring a CME detection rate of 70 %. Such algorithms are necessary where telemetry must be reduced due to decreased communication bandwidth when spacecraft are in deep space, such as at Lagrangian L1 (Patel et al, 2018). Furthermore, these algorithms may also be used to generate triggers for space weather forecasting after specifying specific criteria in CME detection.…”

Section: Introductionmentioning

confidence: 99%

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Automated Detection of coronaL MAss Ejecta origiNs for Space Weather AppliCations (ALMANAC)

Williams

Morgan

2022

Space Weather

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Alerts of potentially hazardous coronal mass ejection (CME) are based on the detection of rapid changes in remote observations of the solar atmosphere. This paper presents a method that detects and estimates the central coordinates of CME eruptions in Extreme Ultraviolet data, with the dual aim of providing an early alert, and giving an initial estimate of the CME direction of propagation to a CME geometrical model. In particular, we plan to link the Automated detection of coronaL MAss ejecta origiNs for space weather AppliCations (ALMANAC) method to the CME detection and characterization module of the Space Weather Empirical Ensemble Package, which is a fully automated modular software package for operational space weather capability currently being developed for the UK Meteorological Office. In this work, ALMANAC is applied to observations by the Atmospheric Imaging Assembly (AIA) aboard the Solar Dynamics Observatory (SDO). As well as presenting the method, a proof of concept test is made on a limited set of data associated with 20 halo CMEs recorded by the Coordinated Data Analysis Workshop (CDAW) catalog near the activity maximum of solar cycle 24. SDO/AIA data for each event is processed at 6 min cadence to identify the on‐disk location and time of each CME. The absolute mean deviance between the ALMANAC and CDAW source event coordinates are within 37.05 ± 29.71 min and 11.01 ± 10.39°. These promising results give a solid foundation for future work, and will provide initial constraints to an automated CME alert and forecasting system.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%