A Lunar L2-Farside Exploration and Science Mission Concept with the Orion Multi-Purpose Crew Vehicle and a Teleoperated Lander/Rover
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The Surrender Software
Scientific image rendering for space scenes with the SurRender software Scientific image rendering for space scenes with the SurRender software R. Brochard, J. Lebreton*, C. Robin, K. Kanani, G. Jonniaux, A. Masson, N. Despré, A. Berjaoui Airbus Defence and Space, 31 rue des Cosmonautes, 31402 Toulouse Cedex, France [email protected] *Corresponding Author Abstract The autonomy of spacecrafts can advantageously be enhanced by vision-based navigation (VBN) techniques. Applications range from manoeuvers around Solar System objects and landing on planetary surfaces, to in -orbit servicing or space debris removal, and even ground imaging. The development and validation of VBN algorithms for space exploration missions relies on the availability of physically accurate relevant images. Yet archival data from past missions can rarely serve this purpose and acquiring new data is often costly. Airbus has developed the image rendering software SurRender, which addresses the specific challenges of realistic image simulation with high level of representativeness for space scenes. In this paper we introduce the software SurRender and how its unique capabilities have proved successful for a variety of applications. Images are rendered by raytracing, which implements the physical principles of geometrical light propagation. Images are rendered in physical units using a macroscopic instrument model and scene objects reflectance functions. It is specially optimized for space scenes, with huge distances between objects and scenes up to Solar System size. Raytracing conveniently tackles some important effects for VBN algorithms: image quality, eclipses, secondary illumination, subpixel limb imaging, etc. From a user standpoint, a simulation is easily setup using the available interfaces (MATLAB/Simulink, Python, and more) by specifying the position of the bodies (Sun, planets, satellites, …) over time, complex 3D shapes and material surface properties, before positioning the camera. -
Evolution of Lunar Mantle Properties During Magma Ocean Crystallization and Mantle Overturn
EPSC Abstracts Vol. 13, EPSC-DPS2019-1703-1, 2019 EPSC-DPS Joint Meeting 2019 c Author(s) 2019. CC Attribution 4.0 license. Evolution of Lunar Mantle Properties during Magma Ocean Crystallization and Mantle Overturn Sabrina Schwinger (1) and Doris Breuer (1) (1) German Aerospace Center (DLR) Berlin, Germany ([email protected]) Abstract 2.2 Mantle Mixing and Overturn We apply petrological models to investigate the As a consequence of the higher compatibility of evolution of lunar mantle mineralogy, considering lighter Mg compared to denser Fe in the LMO lunar magma ocean (LMO) crystallization and cumulate minerals, the density of the cumulate overturn of cumulate reservoirs. The results are used increases with progressing LMO solidification. This to test the consistency of different LMO results in a gravitationally unstable cumulate compositions and mantle overturn scenarios with the stratification that facilitates convective overturn. The physical properties of the bulk Moon. changes in pressure and temperature a cumulate layer experiences during overturn as well as mixing and chemical equilibration of different layers can affect 1. Introduction the mineralogy and physical properties of the lunar The mineralogy of the lunar mantle has been shaped mantle. To investigate these changes, we calculated by a sequence of several processes since the equilibrium mineral parageneses of different formation of the Moon, including lunar magma ocean cumulate layers using Perple_X [7]. For simplicity crystallization, cumulate overturn and partial -
Low Thrust Manoeuvres to Perform Large Changes of RAAN Or Inclination in LEO
Facoltà di Ingegneria Corso di Laurea Magistrale in Ingegneria Aerospaziale Master Thesis Low Thrust Manoeuvres To Perform Large Changes of RAAN or Inclination in LEO Academic Tutor: Prof. Lorenzo CASALINO Candidate: Filippo GRISOT July 2018 “It is possible for ordinary people to choose to be extraordinary” E. Musk ii Filippo Grisot – Master Thesis iii Filippo Grisot – Master Thesis Acknowledgments I would like to address my sincere acknowledgments to my professor Lorenzo Casalino, for your huge help in these moths, for your willingness, for your professionalism and for your kindness. It was very stimulating, as well as fun, working with you. I would like to thank all my course-mates, for the time spent together inside and outside the “Poli”, for the help in passing the exams, for the fun and the desperation we shared throughout these years. I would like to especially express my gratitude to Emanuele, Gianluca, Giulia, Lorenzo and Fabio who, more than everyone, had to bear with me. I would like to also thank all my extra-Poli friends, especially Alberto, for your support and the long talks throughout these years, Zach, for being so close although the great distance between us, Bea’s family, for all the Sundays and summers spent together, and my soccer team Belfiga FC, for being the crazy lovable people you are. A huge acknowledgment needs to be address to my family: to my grandfather Luciano, for being a great friend; to my grandmother Bianca, for teaching me what “fighting” means; to my grandparents Beppe and Etta, for protecting me -
Observing from Space Orbits, Constraints, Planning, Coordination
Observing from Space Orbits, constraints, planning, coordination Integral XMM-Newton Jan-Uwe Ness European Space Astronomy Centre (ESAC) Villafranca del Castillo, Spain On behalf of the Integral and XMM-Newton Science Operations Centres Slide 1 Observing from Space - Orbits http://sci.esa.int/integral/59688-integral-fifteen-years-in-orbit/ Slide 2 Observing from Space - Orbits Highly elliptical Earth orbit: XMM-Newton, Integral, Chandra Slide 3 Observing from Space - Orbits Low-Earth orbit: ~1.5 hour, examples: Hubble Space Telescope Swift NuSTAR Fermi Earth blocking, especially low declination objects Only short snapshots of a few 100s possible No long uninterrupted observations Only partial overlap with Integral/XMM possible Slide 4 Observing from Space - Orbits Orbit around Lagrange point L2 past: future: Herschel James Webb Planck Athena present: Gaia Slide 5 Observing from Space – Constraints Motivations for constraints: • Safety of space-craft and instruments • Contamination by bright optical/X-ray sources or straylight from them • Functionality of star Tracker • Power supply (solar panels) • Thermal stability (avoid heat from the sun) • Ground contact for remote commanding and downlink of data Space-specific constraints in bold orange Slide 6 Observing from Space – Constraints Examples for constraints: • No observations while passing through radiation belts • Orientation of space craft to sun • Large avoidance angles around Sun and anti-Sun, Moon, Earth, Bright planets • No slewing over Moon and Earth (planets ok) • Availability -
Guide to the Betty J. Meggers and Clifford Evans Papers
Guide to the Betty J. Meggers and Clifford Evans papers Tyler Stump and Adam Fielding Funding for the processing of this collection was provided by the Smithsonian Institution's Collections Care and Preservation Fund. December 2015 National Anthropological Archives Museum Support Center 4210 Silver Hill Road Suitland, Maryland 20746 [email protected] http://www.anthropology.si.edu/naa/ Table of Contents Collection Overview ........................................................................................................ 1 Administrative Information .............................................................................................. 1 Biographical / Historical.................................................................................................... 2 Scope and Contents........................................................................................................ 5 Arrangement..................................................................................................................... 5 Bibliography...................................................................................................................... 6 Names and Subjects ...................................................................................................... 6 Container Listing ............................................................................................................. 8 Series 1: Personal, 1893-2012................................................................................. 8 Series 2: Writings, 1944-2011............................................................................... -
Project Selene: AIAA Lunar Base Camp
Project Selene: AIAA Lunar Base Camp AIAA Space Mission System 2019-2020 Virginia Tech Aerospace Engineering Faculty Advisor : Dr. Kevin Shinpaugh Team Members : Olivia Arthur, Bobby Aselford, Michel Becker, Patrick Crandall, Heidi Engebreth, Maedini Jayaprakash, Logan Lark, Nico Ortiz, Matthew Pieczynski, Brendan Ventura Member AIAA Number Member AIAA Number And Signature And Signature Faculty Advisor 25807 Dr. Kevin Shinpaugh Brendan Ventura 1109196 Matthew Pieczynski 936900 Team Lead/Operations Logan Lark 902106 Heidi Engebreth 1109232 Structures & Environment Patrick Crandall 1109193 Olivia Arthur 999589 Power & Thermal Maedini Jayaprakash 1085663 Robert Aselford 1109195 CCDH/Operations Michel Becker 1109194 Nico Ortiz 1109533 Attitude, Trajectory, Orbits and Launch Vehicles Contents 1 Symbols and Acronyms 8 2 Executive Summary 9 3 Preface and Introduction 13 3.1 Project Management . 13 3.2 Problem Definition . 14 3.2.1 Background and Motivation . 14 3.2.2 RFP and Description . 14 3.2.3 Project Scope . 15 3.2.4 Disciplines . 15 3.2.5 Societal Sectors . 15 3.2.6 Assumptions . 16 3.2.7 Relevant Capital and Resources . 16 4 Value System Design 17 4.1 Introduction . 17 4.2 Analytical Hierarchical Process . 17 4.2.1 Longevity . 18 4.2.2 Expandability . 19 4.2.3 Scientific Return . 19 4.2.4 Risk . 20 4.2.5 Cost . 21 5 Initial Concept of Operations 21 5.1 Orbital Analysis . 22 5.2 Launch Vehicles . 22 6 Habitat Location 25 6.1 Introduction . 25 6.2 Region Selection . 25 6.3 Locations of Interest . 26 6.4 Eliminated Locations . 26 6.5 Remaining Locations . 27 6.6 Chosen Location . -
Interstellar Extinction in Orion. Variation of the Strength of the UV
MNRAS 000, 1–9 (2017) Preprint 9 July 2018 Compiled using MNRAS LATEX style file v3.0 Interstellar extinction in Orion. Variation of the strength of the UV bump across the complex. Leire Beitia-Antero,1⋆ Ana I. G´omez de Castro,1† 1AEGORA Research Group, Universidad Complutense de Madrid, Facultad de CC. Matem´aticas, Plaza de Ciencias 3, E-28040 Madrid Accepted XXX. Received YYY; in original form ZZZ ABSTRACT There is growing observational evidence of dust coagulation in the dense filaments within molecular clouds. Infrared observations show that the dust grains size distri- bution gets shallower and the relative fraction of small to large dust grains decreases as the local density increases. Ultraviolet (UV) observations show that the strength of the 2175 A˚ feature, the so-called UV bump, also decreases with cloud density. In this work, we apply the technique developed for the Taurus study to the Orion molecular cloud and confirm that the UV bump decreases over the densest cores of the cloud as well as in the heavily UV irradiated λ Orionis shell. The study has been extended to the Rosette cloud with uncertain results given the distance (1.3 kpc). Key words: ISM: dust, extinction 1 INTRODUCTION feature of the extinction curve, the so-called UV bump. The UV bump is, by far, the strongest spectral feature in the ex- The Interstellar Medium (ISM) is a complex ensemble of tinction curve but its source remains uncertain (see e.g. the gas, large molecules and dust coupled through the action of review by Draine (2003)). -
Cassiopeia a January2008
CASSIOPEIA A JANUARY2008 Cassiopeia A is the youngest (about 300 years old) known supernova Su Mo Tu We Th Fr Sa remnant in the Milky Way. Astronomers have used Chandra’s long ob - 01 02 03 04 05 servations of this remnant to make a map of the acceleration of elec - trons in this supernova remnant. The analysis shows that the electrons 06 07 08 09 10 11 12 are being accelerated to almost the maximum theoretical limit in some 13 14 15 16 17 18 19 parts of Cassiopeia A (Cas A) in what can be thought of as a “relativistic pinball machine.” Protons and ions, which make up the bulk of cosmic 20 21 22 23 24 25 26 rays, are expected to be accelerated in a similar way to the electrons. The Cas A observations thus provide strong evidence that supernova 27 28 29 30 31 remnants are key sites for energizing cosmic rays. 3C442A FEBRUARY2008 X -ray data from NASA’s Chandra X -ray Observatory and radio obser - Su Mo Tu We Th Fr Sa vations from the NSF’s Very Large Array show that a role reversal is 01 02 taking place in the middle of 3C442A - a system with two merging gal - 03 04 05 06 07 08 09 axies in the center. Chandra detects hot gas (blue) that has been push - ing aside the radio -bright gas (orange). This is the opposite of what 10 11 12 13 14 15 16 is typically found in these systems when jets from the supermassive black hole in the center create cavities in the hot gas surrounding the 17 18 19 20 21 22 23 galaxy. -
Rare Earth Elements in Planetary Crusts: Insights from Chemically Evolved Igneous Suites on Earth and the Moon
minerals Article Rare Earth Elements in Planetary Crusts: Insights from Chemically Evolved Igneous Suites on Earth and the Moon Claire L. McLeod 1,* and Barry J. Shaulis 2 1 Department of Geology and Environmental Earth Sciences, 203 Shideler Hall, Miami University, Oxford, OH 45056, USA 2 Department of Geosciences, Trace Element and Radiogenic Isotope Lab (TRaIL), University of Arkansas, Fayetteville, AR 72701, USA; [email protected] * Correspondence: [email protected]; Tel.: +1-513-529-9662 Received: 5 July 2018; Accepted: 8 October 2018; Published: 16 October 2018 Abstract: The abundance of the rare earth elements (REEs) in Earth’s crust has become the intense focus of study in recent years due to the increasing societal demand for REEs, their increasing utilization in modern-day technology, and the geopolitics associated with their global distribution. Within the context of chemically evolved igneous suites, 122 REE deposits have been identified as being associated with intrusive dike, granitic pegmatites, carbonatites, and alkaline igneous rocks, including A-type granites and undersaturated rocks. These REE resource minerals are not unlimited and with a 5–10% growth in global demand for REEs per annum, consideration of other potential REE sources and their geological and chemical associations is warranted. The Earth’s moon is a planetary object that underwent silicate-metal differentiation early during its history. Following ~99% solidification of a primordial lunar magma ocean, residual liquids were enriched in potassium, REE, and phosphorus (KREEP). While this reservoir has not been directly sampled, its chemical signature has been identified in several lunar lithologies and the Procellarum KREEP Terrane (PKT) on the lunar nearside has an estimated volume of KREEP-rich lithologies at depth of 2.2 × 108 km3. -
Planning a Mission to the Lunar South Pole
Lunar Reconnaissance Orbiter: (Diviner) Audience Planning a Mission to Grades 9-10 the Lunar South Pole Time Recommended 1-2 hours AAAS STANDARDS Learning Objectives: • 12A/H1: Exhibit traits such as curiosity, honesty, open- • Learn about recent discoveries in lunar science. ness, and skepticism when making investigations, and value those traits in others. • Deduce information from various sources of scientific data. • 12E/H4: Insist that the key assumptions and reasoning in • Use critical thinking to compare and evaluate different datasets. any argument—whether one’s own or that of others—be • Participate in team-based decision-making. made explicit; analyze the arguments for flawed assump- • Use logical arguments and supporting information to justify decisions. tions, flawed reasoning, or both; and be critical of the claims if any flaws in the argument are found. • 4A/H3: Increasingly sophisticated technology is used Preparation: to learn about the universe. Visual, radio, and X-ray See teacher procedure for any details. telescopes collect information from across the entire spectrum of electromagnetic waves; computers handle Background Information: data and complicated computations to interpret them; space probes send back data and materials from The Moon’s surface thermal environment is among the most extreme of any remote parts of the solar system; and accelerators give planetary body in the solar system. With no atmosphere to store heat or filter subatomic particles energies that simulate conditions in the Sun’s radiation, midday temperatures on the Moon’s surface can reach the stars and in the early history of the universe before 127°C (hotter than boiling water) whereas at night they can fall as low as stars formed. -
Mars Reconnaissance Orbiter and Opportunity Observations Of
PUBLICATIONS Journal of Geophysical Research: Planets RESEARCH ARTICLE Mars Reconnaissance Orbiter and Opportunity 10.1002/2014JE004686 observations of the Burns formation: Crater Key Point: hopping at Meridiani Planum • Hydrated Mg and Ca sulfate Burns formation minerals mapped with MRO R. E. Arvidson1, J. F. Bell III2, J. G. Catalano1, B. C. Clark3, V. K. Fox1, R. Gellert4, J. P. Grotzinger5, and MER data E. A. Guinness1, K. E. Herkenhoff6, A. H. Knoll7, M. G. A. Lapotre5, S. M. McLennan8, D. W. Ming9, R. V. Morris9, S. L. Murchie10, K. E. Powell1, M. D. Smith11, S. W. Squyres12, M. J. Wolff3, and J. J. Wray13 1 2 Correspondence to: Department of Earth and Planetary Sciences, Washington University in Saint Louis, Missouri, USA, School of Earth and Space R. E. Arvidson, Exploration, Arizona State University, Tempe, Arizona, USA, 3Space Science Institute, Boulder, Colorado, USA, 4Department of [email protected] Physics, University of Guelph, Guelph, Ontario, Canada, 5Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, California, USA, 6U.S. Geological Survey, Astrogeology Science Center, Flagstaff, Arizona, USA, 7 8 Citation: Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, USA, Department Arvidson, R. E., et al. (2015), Mars of Geosciences, Stony Brook University, Stony Brook, New York, USA, 9NASA Johnson Space Center, Houston, Texas, USA, Reconnaissance Orbiter and Opportunity 10Applied Physics Laboratory, Johns Hopkins University, Laurel, Maryland, USA, 11NASA Goddard Space Flight Center, observations of the Burns formation: Greenbelt, Maryland, USA, 12Department of Astronomy, Cornell University, Ithaca, New York, USA, 13School of Earth and Crater hopping at Meridiani Planum, J. -
Theoretical Limits of Star Sensor Accuracy †
sensors Article Theoretical Limits of Star Sensor Accuracy † Marcio A. A. Fialho 1,* and Daniele Mortari 2 1 Divisão de Eletrônica Aeroespacial (DIDEA), National Institute for Space Research (INPE), Av. dos Astronautas, 1758, São José dos Campos, SP 12227, Brazil 2 Aerospace Engineering, Texas A&M University, College Station, TX 77843, USA; [email protected] * Correspondence: marcio.fi[email protected]; Tel.: +55-12-3208-6145 † This paper is a revised and extended version of a work previously published as a doctoral thesis chapter. Received: 17 October 2019; Accepted: 25 November 2019; Published: 5 December 2019 Abstract: To achieve mass, power and cost reduction, there is a trend to reduce the volume of many instruments aboard spacecraft, especially for small spacecraft (cubesats or nanosats) with very limited mass, volume and power budgets. With the current trend of miniaturizing spacecraft instruments one could naturally ask if is there a physical limit to this process for star sensors. This paper shows that there is a fundamental limit on star sensor accuracy, which depends on stellar distribution, star sensor dimensions and exposure time. An estimate of this limit is given for our location in the galaxy. Keywords: star sensors; stellar distribution; photometry; astrometry; star catalogs; fundamental limits 1. Introduction Much progress in a variety of fields in science and technology could be accomplished thanks to the miniaturization obtained in microelectronics in the recent decades. One of the most remarkable examples is the prediction by Gordon Moore that the computational power would increase exponentially, an empirical observation that became known as Moore’s law [1–4].