cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48577/jpl.wfetvb
title: A Cryogenic CO2 Scrubber with an Integrated Switchable Heat Pipe

description: Human missions to explore Moon, Mars, and beyond will require reliable, compact air revitalization systems. Using a cryogenic separation system to deposit CO2 from the processed air steam and thus remove it from the air flow is a very attractive approach for long-duration missions because it eliminates the need for consumable adsorption systems. The required cryocooling power to achieve the target CO2 removal rate for a spacecraft with four crewmembers is quite high, more than tens of Watts below 125 K. A critical need for this technology is a cryogenic CO2 scrubber with an integrated heat transport mechanism to efficiently transfer heat to a remotely located active or passive cooler during the collection phase, and to thermally disconnect from the cooler during the regeneration phase to eliminate the need for two separate cryocoolers. To meet this need, we are developing a CO2 scrubber with a built-in cryogenic liquid trap switchable heat pipe to connect the scrubber with a cooler. The scrubber has enhanced heat transfer surfaces to collect CO2 snow. The enhanced surfaces are directly cooled by evaporation of heat pipe working fluid, instead of relying on thermal conduction cooling to minimize temperature gradients on the enhanced surfaces. The enhanced surfaces also have features to promote a uniform air flow and minimize impact of channel clogging as CO2 accumulates. The design of the scrubber and switchable heat pipe is built on JPL’s experience in additive manufacturing of two-phase thermal devices with porous media. This paper discusses the design of the scrubber and the switchable heat pipe, as well as the test setup and preliminary test data for the proof-of-concept switchable heat pipe.
DOI: 10.48577/jpl.vy8sgi
title: Lessons Learned in Managing Time and Space Partitioning for Europa Clipper

description: No abstract available.
DOI: 10.48577/jpl.x8gg9q
title: Woolsey Fire Impacts on Coastal Water Quality in Southern California

description: No abstract available.
DOI: 10.48577/jpl.ag36y3
title: Perseverance Rapid Traverse Campaign

description: No abstract available.
DOI: 10.48577/jpl.kj7qv7
title: Passive Positioning, Navigation, and Timing (PPNT) in Cislunar Space using Earth-based Transmitters

description: No abstract available.
DOI: 10.48577/jpl.nxhj33
title: Mars 2020 Science Intent Capture Architecture

description: No abstract available.
DOI: 10.48577/jpl.zlmrje
title: Ground-In-The-Loop Mission Concept Study for Europa Lander Using Modeling and Simulation

description: No abstract available.
DOI: 10.48577/jpl.wdor7s
title: Operational Experiences of Morehead Station Support to Cubesats

description: No abstract available.
DOI: 10.48577/jpl.ckvpcc
title: Piezoelectric motor for cryogenic applications

description: No abstract available.
DOI: 10.48577/jpl.drcuax
title: 2023 IEEE-Utilizing 3D-DIC on the Mars 2020 Rover Wheel Assembly-Test-Analysis Correlation-Presentation

description: No abstract available.
DOI: 10.48577/jpl.qtxzcf
title: Cloud Workflows to Scale Scientific Analysis of Open Ocean Data

description: No abstract available.
DOI: 10.48577/jpl.3zo1kg
title: Near-Simultaneous Observations of XCO2 and NO2 Over Megacities from OCO-3 and GEMS

description: No abstract available.
DOI: 10.48577/jpl.uh0ovq
title: Upgrading Ingenuity's Flight Software

description: No abstract available.
DOI: 10.48577/jpl.jpsbz2
title: The Emergence of Quantum Computing: Intellectual Property, Partnerships, and the Aerospace Sector

description: No abstract available.
DOI: 10.48577/jpl.psfva6
title: Development of an Uplink Array Radar System for Cis-Lunar and Planetary Observations

description: No abstract available.
DOI: 10.48577/jpl.c1gnny
title: Implementation Plan for the INCUS Mission

description: No abstract available.
DOI: 10.48577/jpl.lmwmuw
title: hermal Performance of the Perseverance Rover During Mars Surface Operations

description: On July 30, 2020, NASA launched the Perseverance Rover as part of the Mars 2020 (M2020) mission to Mars. On February 18, 2021, the rover landed on the surface of Mars in Jezero Crater at a latitude of 18.5°N. As of the writing of this paper, the rover has completed over 700 sols of surface operations, more than one full Martian year on the surface. Landing occurred during the Martian spring (Ls=5), and the rover has since operated through the summer, fall, and winter seasons. While the rover was originally designed to support a surface mission of 1003 sols, Perseverance has been integrated as part of the planned Mars Sample Return (MSR) Campaign to bring samples back from the surface of Mars to Earth for the first time. Understanding the thermal performance of the rover will be essential to ensuring the longevity of Perseverance to perform this mission. This paper discusses the thermal performance of the rover from landing to present day, including predicted versus actual thermal performance, nominal operations, incidents and anomalies, and long-term trending data that will be used to improve energy usage for activities requiring thermal support in the future.
DOI: 10.48577/jpl.memnrm
title: Modelling the Thermal and Compositional Evolution of Icy Satellites, with Application to Pluto and Triton

description: No abstract available.
DOI: 10.48577/jpl.tnedlj
title: Sample Recovery Helicopter IEEE Aerospace Conference

description: No abstract available.
DOI: 10.48577/jpl.z7g1te
title: Earthdata in the cloud: PO.DAAC journey to the Cloud in support of SWOT

description: No abstract available.
DOI: 10.48577/jpl.hl4jtm
title: Ground Software to Support Autonomous Onboard Scheduling for Mars Perseverance Rover

description: No abstract available.
DOI: 10.48577/jpl.ctawgy
title: From the Cradle to the Grave: The life of planetary science missions at NASA JPL

description: No abstract available.
DOI: 10.48577/jpl.vrvfnc
title: Ingenium Presentation IEEE 2023

description: No abstract available.
DOI: 10.48577/jpl.qav18q
title: Early Oceanographic Results From SWOT

description: No abstract available.
DOI: 10.48577/jpl.1pryca
title: Presentation: Enabling Parallel Activities for Mars 2020 Rover Surface Operations

description: No abstract available.
DOI: 10.48577/jpl.8xbrrk
title: Assessment of SMOS and SMAP Sea Surface Salinity against SASSIE In Situ Measurements in the Arctic Ocean

description: No abstract available.
DOI: 10.48577/jpl.zzgqll
title: Aleatoric and Epistemic Uncertainty Quantification in Bayesian Dirichlet Cost Rules of Thumb

description: No abstract available.
DOI: 10.48577/jpl.8agmdh
title: System Level Availability Budget for the Multi-Vehicle Sun Radio Interferometer Space Experiment- IEEE 2023 Presentation

description: No abstract available.
DOI: 10.48577/jpl.nzrqql
title: IEEE Snapdragon Presentation

description: No abstract available.
DOI: 10.48577/jpl.yb7zuo
title: Aleatoric and Epistemic Uncertainty Quantification in Bayesian Dirichlet Cost Rules of Thumb

description: No abstract available.
DOI: 10.48577/jpl.4vlv8r
title: Salvaging Data Records with Missing Data, Part 2

description: No abstract available.
DOI: 10.48577/jpl.zokbfo
title: Ranging and Imaging of Spacecraft with the Deep-Space Network’s High-Gain Antennas

description: No abstract available.
DOI: 10.48577/jpl.pgwyrn
title: What forcing mechanisms affect interannual sea level co-variability between the Northeast and Southeast Coasts of the United States?

description: No abstract available.
DOI: 10.48577/jpl.0djp7q
title: Radiance Comparison from OCO-3 and OCO-2 Simultaneous Nadir and Ocean Glint Overpasses

description: No abstract available.
DOI: 10.48577/jpl.vxvmje
title: Intercomparison of in situ and remote sensing surface salinity products in the global coastal ocean

description: No abstract available.
DOI: 10.48577/jpl.x2sfln
title: NASA-ISRO Synthetic Aperture Radar (NISAR): Towards Observatory-level Integration and Testing

description: No abstract available.
DOI: 10.48577/jpl.m8w24u
title: Space Radiation Challenges for Deep Space Mission in the Artemis Era: from Moon to Mars

description: No abstract available.
DOI: 10.48577/jpl.vcactz
title: Optimizing the HDF5 Data Container for Cloud Computing

description: No abstract available.
DOI: 10.48577/jpl.xw0cgg
title: Autonomy Automation in Deep Space Mission Operations

description: No abstract available.
DOI: 10.48577/jpl.rfwrlo
title: The GHRSST science team and needs for high resolution sea surface temperature missions

description: No abstract available.
DOI: 10.48577/jpl.ajn2kc
title: A Venus Cloud Simulator Test Facility

description: No abstract available.
DOI: 10.48577/jpl.fkxr2i
title: Modelling the carbon cycle across the Arctic land-ocean continuum: a case study of the Southeastern Beaufort Sea

description: No abstract available.
DOI: 10.48577/jpl.5jnny4
title: ExEP Astrophsyics Mission Development Overview Lecture

description: No abstract available.
DOI: 10.48577/jpl.j5ni9x
title: Microcircuit Standards for Space Missions

description: No abstract available.
DOI: 10.48577/jpl.lpg5ek
title: NASA Presentation

description: No abstract available.
DOI: 10.48577/jpl.wcqcr2
title: PO.DAAC Town Hall

description: No abstract available.
DOI: 10.48577/jpl.qkdoms
title: Europa Clipper Mission: Road from System Integration Review to Launch

description: No abstract available.
DOI: 10.48577/jpl.nnkdoy
title: Innovative Antennas for Satellite Telecom, Radar Systems and Radio Telescope

description: No abstract available.
DOI: 10.48577/jpl.lbk5vj
title: SMAP Antenna Pointing Error Estimation Using GNSS-Reflectometry

description: This manuscript explores the use of Global NavigationSatellite System – Reflectometry (GNSS-R) data collected by theSoil Moisture Active Passive (SMAP) mission to estimate antennaview angle offsets. A novel methodology for estimating antennaview angle offsets using GNSS-R data is proposed by comparingthe received Signal-to-Noise Ratio (SNR) of the reflected GNSSsignal with SMAP’s antenna pattern measured prior to launch. Toproperly compare them, observation angles are defined withrespect to the SMAP position and the specular point position,which are computed from the SMAP telemetry and the GPSephemeris data using a 1-km resolution digital elevation modelmap. A methodology based on a 2nd order polynomial fit and alinear fit is proposed to estimate the offset by azimuthal sector andat different times of the year. Results are obtained for a total of 6years, showing a consistent dependence on the antenna azimuthallook angle and on the time of the year, with an average antennaoffset of 0.2° with a standard deviation of 0.06°, which produces ageolocation error of ~ 3.6 km. Further analysis proposes a nonlinearmodel to estimate the antenna offset directly from anazimuthal look angle and the time of the year. Model results showa Pearson correlation coefficient of R = 0.85 and R = 0.80 fordescending and ascending passes, respectively. This model can beused by the SMAP team to further correct the antenna footprintlocation and pointing angle.
DOI: 10.48577/jpl.g4gt94
title: Predicting the Dominant Formation Mechanism of Multi-Planetary Systems

description: Most, if not all, sun-like stars host one or more planets, making multi-planetary systems commonplacein our galaxy. We utilize hundreds of multi-planet simulations to explore the origin of such systems,focusing on their orbital architecture. The first set of simulations assumes in-situ assembly of planetaryembryos, while the second explores planetary migration. After applying observational biases to thesimulations, we compare them to 250+ observed multi-planetary systems, including 13 systems withplanets in the habitable zone. For all of the systems, we calculate two of the so-called statisticalmeasures: the mass concentration (Sc) and orbital spacing (Ss). After analytic and empirical analyses,we find that the measures are related to first-order with a power law: Sc ∼ Sβs. The in-situ systemsexhibit steeper power-law relations relative to the migration systems. We show that different formationscenarios cover different regions in the Ss − Sc diagram with some overlap. Furthermore, we discoverthat observed systems with Ss &lt; 30 are likely dominated by the migration scenario, while those withSs ≥ 30 are likely dominated by the in-situ scenario. We apply these criteria to determine thata majority (62%) of observed multi-planetary systems formed via migration, whereas most systemswith currently observed habitable planets formed via in-situ assembly. This work provides methodsof leveraging the statistical measures (Ss and Sc) to disentangle the formation history of observedmulti-planetary systems based on their present-day architectures.
DOI: 10.48577/jpl.uk8gnu
title: Quantifying Uncertainty in AtmosphericWinds Retrieved from Optical Flow: Dependence on Weather Regime

description: This study explores the performance of a dense optical flow method in comparison to pattern matching techniques for retrieving Atmospheric Motion Vectors (AMVs) from water vapor images. Using high-resolution simulated datasets that represent various weather phenomena, we assess the performance of these methods across different weather regimes, time intervals, and pressure levels, and quantify the uncertainties associated with retrieved winds. The optical flow algorithm consistently outperforms the feature matching approach. Notably, it produces wind speeds and AMVs that closely resemble the wind fields from the simulations, and unlike the feature matching algorithm, the optical flow algorithm exhibits consistent performance across different time intervals. In contrast, the feature matching approach yields vector fields that exhibit over-smoothing in certain areas and erratic behavior in others, while also producing less detailed, regionally constant speed maps. Furthermore, unlike feature matching, the optical flow method effectively calculates AMVs even in areas with low wind speeds and near regions with missing data, generating a dense AMV field for every pixel in a pair of images. This superior performance and flexibility significantly influence the planning for future satellite missions aimed at retrieving atmospheric winds. As such, our work plays a critical role in determining the mission architecture and projected instrument performance for future atmospheric wind retrieval satellite missions. The study underscores the potential of the optical flow algorithm as a robust and efficient approach for atmospheric motion retrieval, thus contributing to advances in climate research and weather prediction.
DOI: 10.48577/jpl.ozaka7
title: How to Prevent Flight Hardware Failures During Shock Qualification Test?

description: In the last few years, there have been several recorded JPL hardware failures during shock qualification tests. These failures raised concerns amongst project management, cognizant engineers, analysts, and others stake holders. These concerns were wrongfully attributed by some to potential over-test using JPL’s tunable beam shock simulation system (TBSS), a conclusion that was not shared by experienced subject matter experts. All the failures from cases examined were traced to issues unrelated to the TBSS. The prime failure mode was traced, in most cases, to excessive sustained structural excitations occurring in mid- to high-frequency shock regions. Other issues were related to overly conservative requirements (in particular specification of the knee frequencies), over-test by test conductors, possible fixture coupling, and design deficiencies. In this paper, root causes of a few flight hardware failures are discussed in detail. A series of recommendations are provided to better prepare for shock tests and to help minimize or even eliminate flight hardware failures.
DOI: 10.6084/m9.figshare.25284508.v1
title: Master thesis_dataset

description: Dataset used in master thesis
DOI: 10.48577/jpl.vmhyxa
title: A Microwave Photonic Oscillator Based on Self-Injection Locking to a Fabry-Perot Cavity

description: We demonstrate an efficient simultaneous self-injection locking of two semiconductor lasers to high-order modes of a stand-alone monolithic Fabry-Perot cavity. The lasers are used to generate a low noise microwave signal on a fast photodiode. The overall improvement of the laser spectral purity exceeds 80 dB. The observed single-sideband phase noise of X- to Ka-band signals is at the -110 dBc/Hz level and is limited by the funda- mental thermorefractive noise of the cavity. The demon- strated cavity-laser configuration can be tightly pack- aged and is promising for generation of high frequency RF signals as well as for referencing optical frequency combs.
DOI: 10.48577/jpl.jyzuio
title: Airborne and Ground Measurements of a Compact Multifrequency Cloud and Precipitation Radar

description: Space-based atmospheric radars are indispensable instruments for detecting and tracking weather processes and have enabled significant advancements in weather forecast and climate surveillance. The use of millimetre-wave technology for atmospheric radars has been gaining interest over the years thanks to the research and development of critical components that have made them available at higher frequencies with state-of-the-art performance [1]. When frequency is increased to the millimetre-wave range, the wavelength of the transmitted signal becomes comparable to the size of hydrometeors in rain and clouds. This permits the characterization of diverse weather phenomena, such as precipitation and cloud formation and evolution, with better accuracy and resolution than ever before. On top of that, weather structures possess different and identifiable absorption and scattering properties that make them to interact differently with a radar’s transmitted signal depending on its frequency [2].
DOI: 10.48577/jpl.wo2wzr
title: Thermal Control Design for Deep Space Optical Communication (DSOC) Docking Mechanism High-Output Paraffin Actuator

description: Deep Space Optical Communication (DSOC) is a technology demonstration laser communication payload riding on the Psyche spacecraft that will demonstrate data transmission via laser up to 2.76 AU (probe to sun). The payload achieves fine acquisition and tracking control by utilizing Lorentz force actuators to perform dual functions: mechanical isolation from the bus to provide a stable floating platform for the optical assembly, and to perform fine-grain pointing and tracking of the optical uplink receiver. To satisfy a Psyche requirement, during DSOC off periods, the floating platform is mechanically docked to the stationary side through the use of a pair of Docking Mechanisms (DMs). During an optical pass the optical platform has to be undocked by the DMs which each utilize a High-Output Paraffin (HOP) actuator to perform the undocking function. The DMs need to be in the undocked phase for up to 8 hours without any interruption or dithering of the HOP pin. Dithering has to be prevented because this could cause disruptions to the pointing of the optical assembly. Spacecraft bus voltage is also static so there inability of changing the power output to the HOP heater, which is critical due to strict paraffin temperature limits, thus, a pulse-width modulation (PWM) heating scheme was developed to achieve the desired power output. This PWM was then adapted and implemented in Psyche Flight Software (FSW). The flight unit DMs were tested successfully meeting all Verification & Validation requirements using this method for all temperature and voltage ranges. The DMs have been proven to work for 8+ hours in thermal vacuum, which is required for compliance of DSOC Project Level 1 requirements. This paper describes the development of the algorithm from inception to the final Psyche flight software implementation.
DOI: 10.48577/jpl.6qj5kg
title: Covariance Based Terrain Mapping for Autonomous Mobile Robots

description: Autonomous mobile robots operating in unknown terrain have to guide their drive decisions through perception. Local mapping and traversability analysis are essential for safe rover operation and low level locomotion. This paper deals with the challenge of building a local, robot-centric map from onboard range sensing. We introduce a new highly-efficient converging covariance based map update for estimating a digital elevation map. The map is capable of representing sub-cell size obstacles and can be queried for height, the presence of obstacles, and slope in constant time. Extensive experiments in simulation and real world test campaigns are used to evaluate the performance of our approach. The presented mapping technique outperforms state of the art grid-mapping algorithms for computationally constraint systems in run time, memory usage, precision and resolvable obstacle size. Further application scenarios are discussed. A variant of this map approach is projected to be used on NASA’s 2024 CADRE mission to the Moon.
DOI: 10.48577/jpl.2dibpz
title: SNN-PDE: Learning Dynamic PDEs from Data with Simplicial Neural Networks

description: Dynamics of many complex systems, from weather and climate to spread of infectious diseases, can be described by partial differential equations (PDEs). Such PDEs involve unknown function(s), partial derivatives, and typically multiple independent variables. The traditional numerical methods for solving PDEs assume that the data are observed on a regular grid. However, in many applications, for example, weather and air pollution monitoring delivered by the arbitrary located weather stations of the National Weather Services, data records are irregularly spaced. Furthermore, in problems involving prediction analytics such as forecasting wildfire smoke plumes, the primary focus may be on a set of irregular locations associated with urban development. In recent years, deep learning (DL) methods and, in particular, graph neural networks (GNNs) have emerged as a new promising tool that can complement traditional PDE solvers in scenarios of the irregular spaced data, contributing to the newest research trend of physics informed machine learning (PIML). However, most existing PIML methods tend to be limited in their ability to describe higher dimensional structural properties exhibited by real world phenomena, especially, ones that live on manifolds. To address this fundamental challenge, we bring the elements of the Hodge theory and, in particular, simplicial convolution defined on the Hodge Laplacian to the emerging nexus of DL and PDEs. In contrast to conventional Laplacian and the associated convolution operation, the simplicial convolution allows us to rigorously describe diffusion across higher order structures and to better approximate the complex underlying topology and geometry of the data. The new approach, Simplicial Neural Networks for Partial Differential Equations (SNN PDE) offers a computationally efficient yet effective solution for time dependent PDEs. Our studies of a broad range of synthetic data and wildfire processes demonstrate that SNN PDE improves upon state of the art baselines in handling unstructured grids and irregular time intervals of complex physical systems and offers competitive forecasting capabilities for weather and air quality forecasting.