The effect of mission duration on LISA science objectives

The science objectives of the LISA mission have been defined under the implicit assumption of a 4-years continuous data stream. Based on the performance of LISA Pathfinder, it is now expected that LISA will have a duty cycle of $$\approx 0.75$$ ≈ 0.75 , which would reduce the effective span of usable data to 3 years. This paper reports the results of a study by the LISA Science Group, which was charged with assessing the additional science return of increasing the mission lifetime. We explore various observational scenarios to assess the impact of mission duration on the main science objectives of the mission. We find that the science investigations most affected by mission duration concern the search for seed black holes at cosmic dawn, as well as the study of stellar-origin black holes and of their formation channels via multi-band and multi-messenger observations. We conclude that an extension to 6 years of mission operations is recommended.

GRaVN: A Convolutional Network Approach to Generalised Characterisation of Raman Spectra for Space Exploration

During planetary exploration mission operations, one of the key responsibilities of the instrument teams to determine data viability for subsequent analysis. During the 2019 CanMoon Lunar Sample Return Analogue Mission, the Lead Raman Specialist manually examined each spectra to provide quality assurance/validation. This non-trivial process requires years of experience to complete accurately. With the proven efficacy of Convolutional Neural Networks (CNNs) in classification tasks, and the increased use of automation and control loops on planetary space platforms for navigation and science targeting, an opportunity presents itself to approach this validation problem utilising CNNs. We present the Generalised Raman Validation Network (GRaVN), an neural network focused specifically on extracting the generalised structure of Raman spectra for quality assurance/validation. This work demonstrates the viability of utilising a CNN network in validation activities for Raman spectroscopy. Utilising only two hidden layers, a configuration was developed that provided good levels of accuracy on a manually curated dataset. This indicates that such a system could be useful as part of an autonomous control loop during planetary exploration activities.

Normative Performance Measurement in Simulated Air Combat

BACKGROUND: Normative performance (NP) describes the pilots adherence to tactics, techniques, and procedures (TTPs). Until now, there has not been a global NP measurement technique for beyond visual range (BVR) air combat, and the methodology and technology related to the evaluation of NP have fallen behind the pace of the overall technical progress of distributed mission operations (DMO) training.METHODS: Platform-independent core air combat tasks were identified. The execution of these tasks is directed with TTPs. BVR air combat missions were flown in a DMO simulator system and the design NP was varied between missions. Observers viewed debriefs of these missions and attempted to identify TTP-regulated air combat tasks. Once identified, they scored the pilots NP in those tasks. The scoring was based on the level of TTP adherence and the impact a nonadherence had on the mission accomplishment.RESULTS: All observers were able to identify most of the TTP-regulated air combat tasks. There was a strong positive correlation between the observed and design NP scores. The overall Kappa indicated a fair agreement between the observers. The percentage of observers NP assessments which agreed with the design NP varied from 49.60 to 85.28% in different air combat missions. On average, 73.9%6 of the observers NP scores agreed with the design NP scores.CONCLUSIONS: Observers were able to accurately identify TTP-regulated tasks and score NP of these tasks during an air combat debrief. There was a moderate agreement between the observers NP scores.Mansikka H, Virtanen K, Mkinen L, Harris D. Normative performance measurement in simulated air combat. Aerosp Med Hum Perform. 2021; 92(11):908-912.

Analyzing Mission Impact of Military Installations Microgrid for Resilience

This article develops a method to model, analyze, and design military microgrids with the objective to improve their resilience in the face of disconnections from the larger electrical grid. Military microgrids provide power to installation and base facilities to enable base mission objective accomplishments that are related to national security. Previous research, tools, and methods for microgrid design and assessment do not adequately address resilience in terms of accomplishing mission objectives and instead primarily focus on economic outcomes. This article proposes a novel metric to quantify microgrid resilience in terms of its ability to minimize the impact of power disruption on missions supported by the microgrid. The metric is used in a novel design method to ensure an islanded military microgrid can continue operations while disconnected for a two-week duration. Our model examines the ability to continue mission operations subject to various microgrid disruptions as well as equipment reliability.

Visual Localization of the Tianwen-1 Lander Using Orbital, Descent and Rover Images

Tianwen-1, China’s first Mars exploration mission, was successfully landed in the southern part of Utopia Planitia on 15 May 2021 (UTC+8). Timely and accurately determining the landing location is critical for the subsequent mission operations. For timely localization, the remote landmarks, selected from the panorama generated by the earliest received Navigation and Terrain Cameras (NaTeCam) images, were matched with the Digital Orthophoto Map (DOM) generated by high resolution imaging camera (HiRIC) images to obtain the initial result based on the triangulation method. Then, the initial localization result was refined by the descent images received later and the NaTeCam DOM. Finally, the lander location was determined to be (25.066°N, 109.925°E). Verified by the new orbital image with the lander and Zhurong rover visible, the localization accuracy was within a pixel of the HiRIC DOM.