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This 17 person multimedia conference room is equipped to facilitate meetings and small lectures. Multi-user voice conferences are managed by a Polycom SoundStation 2 Expandable Conference Phone. Multi-user video conferences are managed by a 55” Samsung F6300 Series Smart TV and an Intel NUC mini-PC running Windows 10��Enterprise. The video conferencing can be done using the most popular methods including Skype, GoToMeeting, & WebEx. Room Scheduling is handled by in

The CCAR reception area is a newly refinished with lounge style��tables and chairs, signage, and a 47” Samsung Smart TV displaying CCAR related pictures and videos. This area also houses the Lexmark CS510de color laser printer, Konica-Minolta photocopier, and Faculty / Staff mailboxes.

Graduate students within CCAR are either assigned a desk in one of the research labs or in one the��areas maintained for student use. In these areas, computers are assigned on a case by case basis depending on the work and needs of the student. All students will have access to either the UCB Wireless network or the CCAR managed wired network for connectivity of personal laptops or CU owned computers.

The GNSS/GPS Development & Analysis Laboratory works on GPS-based satellite orbit & attitude estimation, GPSRO & GPSR techniques for remotely observing the earth’s environment, optical measurement modeling & estimation methods for space situational awareness, autonomous rendezvous & docking, and receiver design & implementation. The lab contains extensive radio (RF) test and measurement equipment, cabling, connectors, and antennas suitable for signals from baseband through S-band. Specifically the major test and measurement components within the lab include: a National Instruments full multi-constellation (GPS & GLONASS) simulator, a Spirent STR4500 full GPS constellation simulator, a 10 kHz-3.2 GHz Agilent signal generator, a 6.7 GHz National Instruments Vector Signal Analyzer/Generator with 50 MHz bandwidth record/playback capability, a variety of atomic-based frequency standards, a 9 kHz-3.6 GHz Rohde & Schwarz handheld network/spectrum analyzer, multiple GNSS single channels simulators, and various function generators, oscilloscopes, and power supplies. In addition, there are numerous RF discrete components such as filters (cavity, SAW, lumped element), low noise amplifiers, mixers, attenuators, RF adapters, and precision cables that can be used to construct custom RF front ends. The laboratory consists of number GNSS/GPS receivers from the smallest mass market devices to complete multiconstellation (GPS, GLONASS, Galileo, Beidou) multifrequency survey grade receivers. There is truth reference measurement system consisting of a GNSS/GPS receiver, a tactical-grade inertial measurement unit, and carrier phase differential real/post processing software package. It also can support rooftop experimental work using low loss cable drops from roof mounted GNSS/GPS antennas. Graduate students have offices in the grad lounge, Student Office areas, GPS lab, or the GNSS lab areas. Their work is generally performed on desktop computers connected to the CCAR network.

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The Bosanac group focuses on leveraging the chaos of multi-body dynamical systems to advance astrodynamics and celestial mechanics applications. In this computational facility, researchers are currently focused on improving trajectory design and optimization techniques for spacecraft as well as expanding the insight extracted from��dynamical systems techniques. The Bosanac group uses this research to support: trajectory design for missions to new destinations within the solar system for science, technology demonstration or infrastructure purposes; using trajectory design as an enabling technology for CubeSat and SmallSat mission concepts; and improving both the accessibility of space and the reusability of space-based assets.
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The Space Weather Lab focuses on scientific inquiry into near-earth space. The work includes collaborations with NOAA National Geophysical Data Center with the aim to update, improve, and leverage various spacecraft datasets that provide information about energy deposition and dissipation at LEO altitudes. The primary focus is improving estimates of satellite drag. The analysis and archiving solution is Linux-based and leverages multiple mirrored workstations and redundant external and cloud-based storage to ensure dataset integrity and avoid disc-access bottlenecks. Our toolchain is primarily MATLAB and Python based, but includes IDL, Fortran and Javascript/jQuery.

This group supports both high-precision GPS (and more generally GNSS) positioning applications and remote sensing research. For the latter, they have access to the GIPSY software developed at the Jet Propulsion Laboratory. The remote sensing research is primarily focused on soil moisture, snow depth, and vegetation water content measurements. They have approximately 10 GPS sites operating around the United States (Utah, Massachusetts, Colorado, Iowa, New Mexico, Oklahoma) that are used to validate the reflection products. They collaborate with hydrologists on the CU �鶹ӰԺ campus and with local scientists at UNAVCO, NOAA, and UCAR. They are also developing ways to monitor volcanic eruptions with GNSS sensors. The High-Precision GPS Applications group utilizes four Linux based workstations and a main server. They host both the PBO H2O water cycle research website as well as the GNSS Education and Outreach website.

The Real-Time group manages an extensive database of near real-time and historical satellite altimeter data and analyses. The database can be accessed via direct FTP download or through an online web server that hosts a variety of data viewers to both view and overlay sea surface height maps on sea surface temperature and ocean color imagery provided by NOAA and NASA. A total of 164,270 images have been produced by users of the website. The core computing needs for this group are met by Mac OS X servers and numerous Mac workstations; backed by a BSD-based 32TB ZFS network attached storage pool. The software stack on these machines consists of MATLAB, Generic Mapping Tools, Python, JavaScript, other specialized tools.

The Lightning, Atmosphere, Ionosphere, and Radiation Belt research group (The LAIR) is part of the Aerospace Engineering Sciences (AES) department at the �鶹ӰԺ. Most of our research studies lightning and thunderstorms and their electromagnetic effects on the ionosphere, magnetosphere, and radiation belts - what we call the "near-Earth space environment". We also work on a variety of��, the common theme of which is the application and study of��space plasma physics.

Professor McMahon heads the ORCCA lab, which conducts research focused on in intersection and application of astrodynamics, spacecraft guidance, navigation, and control (GNC), and small bodies science. Particular topics of current interest and support include: radio science for OSIRIS-REx; NIAC Phase II: Dismantling Rubble Pile Asteroids using Area-of-Effect Softbots (AoES); shape modeling and relative navigation around small bodies using radiometric, optical imaging and LIDAR data; non-Keplerian dynamics and associated guidance, navigation, and control algorithms; spacecraft autonomy; asteroid mining and in-situ resource��

The Satellite Navigation and Sensing (SeNSe) Laboratory develops next generation global navigation satellite systems (GNSS) receiver algorithms to provide robust navigation and remote sensing capabilities. Our group deploys and maintains a global network of GNSS receivers and Radio Frequency (RF) data recorders which continuously monitor and collect the full range of GNSS signals. The GNSS receivers provide continuous, real-time monitoring and long-term statistical analysis of space weather effects. The RF data collected allows the lab to develop robust tracking algorithms and investigate atmospheric phenomena.

The Sea Level & GRACE Research Group studies involve global and regional sea level measurements using satellite altimeters; processing of low-level data into climate-quality estimates of global mean sea level; research into sea level change and attribution to climate and interannual variations; analysis of GRACE data for geodesy. The group utilizes two Gentoo workstations: AMD Quad-Core, 16 GB RAM, shared 12TB RAID systems and a Mac based cluster with 10-nodes and a 7 TB RAID.

The STIg is a 500 sq. ft. lab designed for subsystem testing and integration. All lab benches are equipped with ESD mats, chairs, continuous monitors and ionizers. Students are required to wear ESD coats while working in the lab. Lab equipment includes an ultrasonic cleaner, Helmholz cage, Agilent 480W solar array simulator 9kHz-3GHz Agilent spectrum analyzer and 9kHz-3.2GHz Rhode-Schwartz signal generator, plus multimeters, oscilloscopes, and power supplies. Research is done using four different workstations. There are two lab systems running Windows 7 Enterprise and then two ITAR compliant systems running RedHat Enterprise Linux and Windows 7 Enterprise for specialized work.

This 1000 sq. ft. laboratory space is used to investigate a variety of relative motion sensing and control problems. The AVS laboratory aims to develop hardware and software simulation environments to design, develop and test relative motion sensing technologies and control solutions. Originally developed with the support of Sandia National Laboratories, this lab uses an autonomous unmanned ground vehicle (UGV) to simulate the motion of aerospace vehicles and provide the sensor packages realistic relative motion. A particular research focus is the visual vehicle tracking concept. The AVS lab is also investigating how to simulate the charged relative translation and rotation of suspended vehicles using a standard atmospheric environment. The AVS lab utilizes Mac OS X based servers and workstations to carry out their research.

CSML studies the fundamental mechanics of natural bodies, spacecraft, and debris within space environments throughout the solar system. The students and researchers that work at CSML have at their disposition three Mac Pro systems to carry out their research not including their individual laptops. As a whole, these systems can use 36 cores, allowing them to run up to 72 processes at any given time, with a combined storage capacity of 20TB. Given the always increasing computing needs of their research and their collaborators' (NASA, Ball Aerospace Inc., SwRI, Lockheed Martin Aerospace), these systems are accessible and fully utilized all year round. Additionally, this group has started experimental work on the dynamics of granular systems as this is related to surface dynamics and pod deployment on small NEOs.

The Active Remote Sensing Lab (ARSENL) consists of a 400 sq. ft. optics lab, a 600 sq. ft. RF electronics lab, and a 600 sq. ft. graduate student office space for 8 PhD students. The optics lab includes two full optical benches, optical/electronic diagnostic equipment, lasers and optical components to support research in designing, developing, and deploying lidar systems. The RF electronics lab includes electronic equipment, VHF radar transmitters and receivers, and data acquisition systems to support research in VHF radar system design, development and deployment. These active remote sensing techniques have led to field deployments in such remote locations as the Arctic and Antarctic. The lab supports research in geosciences involving water, atmosphere and space with a student workforce from PhD to undergraduates and even high school students.

The Sea Ice Remote Sensing group is performing research which includes validation of sea ice products from the Visible Infrared Imaging Radiometer Suite (VIIRS) satellite and correction of the retrieval algorithms. The CULPIS-X instrument package, which contains a lidar to determine sea ice thickness, among other instruments is designed to fly on a US Coast Guard C-130A. A model to estimate sea ice drift speed and sea ice age is also maintained and run by this group.
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