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By European Space Agency
Week in images: 05-09 May 2025
Discover our week through the lens
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By NASA
5 min read
Preparations for Next Moonwalk Simulations Underway (and Underwater)
Editor’s Note: The following is one of three related articles about the NASA Data Acquisition System and related efforts. Please visit Stennis News – NASA to access accompanying articles.
A blended team of NASA personnel and contractors support ongoing development and operation of the NASA Data Acquisition System at NASA’s Stennis Space Center. Team members include, left to right: Andrew Graves (NASA), Shane Cravens (Syncom Space Services), Peggi Marshall (Syncom Space Services), Nicholas Payton Karno (Syncom Space Services), Alex Elliot (NASA), Kris Mobbs (NASA), Brandon Carver (NASA), Richard Smith (Syncom Space Services), and David Carver (NASA)NASA/Danny Nowlin Members of the NASA Data Acquisition System team at NASA’s Stennis Space Center evaluate system hardware for use in monitoring and collecting propulsion test data at the site.NASA/Danny Nowlin NASA software engineer Alex Elliot, right, and Syncom Space Services software engineer Peggi Marshall fine-tune data acquisition equipment at NASA’s Stennis Space Center by adjusting an oscilloscope to capture precise measurements. NASA/Danny Nowlin Syncom Space Services software test engineer Nicholas Payton Karno monitors a lab console at NASA’s Stennis Space Center displaying video footage of an RS-25 engine gimbal test, alongside data acquisition screens showing lab measurements. NASA/Danny Nowlin Just as a steady heartbeat is critical to staying alive, propulsion test data is vital to ensure engines and systems perform flawlessly.
The accuracy of the data produced during hot fire tests at NASA’s Stennis Space Center near Bay St. Louis, Mississippi, tells the performance story.
So, when NASA needed a standardized way to collect hot fire data across test facilities, an onsite team created an adaptable software tool to do it.
“The NASA Data Acquisition System (NDAS) developed at NASA Stennis is a forward-thinking solution,” said David Carver, acting chief of the Office of Test Data and Information Management. “It has unified NASA’s rocket propulsion testing under an adaptable software suite to meet needs with room for future expansion, both within NASA and potentially beyond.”
Before NDAS, contractors conducting test projects used various proprietary tools to gather performance data, which made cross-collaboration difficult. NDAS takes a one-size-fits-all approach, providing NASA with its own system to ensure consistency.
“Test teams in the past had to develop their own software tools, but now, they can focus on propulsion testing while the NDAS team focuses on developing the software that collects data,” said Carver.
A more efficient workflow has followed since the software system is designed to work with any test hardware. It allows engineers to seamlessly work between test areas, even when upgrades have been made and hardware has changed, to support hot fire requirements for the agency and commercial customers.
With the backing and resources of the NASA Rocket Propulsion Test (RPT) Program Office, a blended team of NASA personnel and contractors began developing NDAS in 2011 as part of the agency’s move to resume control of test operations at NASA Stennis. Commercial entities had conducted the operations on NASA’s behalf for several decades.
The NASA Stennis team wrote the NDAS software code with modular components that function independently and can be updated to meet the needs of each test facility. The team used LabVIEW, a graphical platform that allows developers to build software visually rather than using traditional text-based code.
Syncom Space Services software engineer Richard Smith, front, analyzes test results using the NASA Data Acquisition System Displays interface at NASA’s Stennis Space Center while NASA software engineer Brandon Carver actively tests and develops laboratory equipment. NASA/Danny Nowlin NASA engineers, from left to right, Tristan Mooney, Steven Helmstetter Chase Aubry, and Christoffer Barnett-Woods are shown in the E-1 Test Control Center where the NASA Data Acquisition System is utilized for propulsion test activities. NASA/Danny Nowlin NASA engineers Steven Helmstetter, Christoffer Barnett-Woods, and Tristan Mooney perform checkouts on a large data acquisition system for the E-1 Test Stand at NASA’s Stennis Space Center. The data acquisition hardware, which supports testing for E Test Complex commercial customers, is controlled by NASA Data Acquisition System software that allows engineers to view real-time data while troubleshooting hardware configuration.NASA/Danny Nowlin NASA engineers Steven Helmstetter, left, and Tristan Mooney work with the NASA Data Acquisition System in the E-1 Test Control Center, where the system is utilized for propulsion test activities.NASA/Danny Nowlin “These were very good decisions by the original team looking toward the future,” said Joe Lacher, a previous NASA project manager. “LabVIEW was a new language and is now taught in colleges and widely used in industry. Making the program modular made it adaptable.”
During propulsion tests, the NDAS system captures both high-speed and low-speed sensor data. The raw sensor data is converted into units for both real-time monitoring and post-test analysis.
During non-test operations, the system monitors the facility and test article systems to help ensure the general health and safety of the facility and personnel.
“Having quality software for instrumentation and data recording systems is critical and, in recent years, has become increasingly important,” said Tristan Mooney, NASA instrumentation engineer. “Long ago, the systems used less software, or even none at all. Amplifiers were configured with physical knobs, and data was recorded on tape or paper charts. Today, we use computers to configure, display, and store data for nearly everything.”
Developers demonstrated the new system on the A-2 Test Stand in 2014 for the J-2X engine test project.
From there, the team rolled it out on the Fred Haise Test Stand (formerly A-1), where it has been used for RS-25 engine testing since 2015. A year later, teams used NDAS on the Thad Cochran Test Stand (formerly B-2) in 2016 to support SLS (Space Launch System) Green Run testing for future Artemis missions.
One of the project goals for the system is to provide a common user experience to drive consistency across test complexes and centers.
Kris Mobbs, current NASA project manager for NDAS, said the system “really shined” during the core stage testing. “We ran 24-hour shifts, so we had people from across the test complex working on Green Run,” Mobbs said. “When the different shifts came to work, there was not a big transition needed. Using the software for troubleshooting, getting access to views, and seeing the measurements were very common activities, so the various teams did not have a lot of build-up time to support that test.”
Following success at the larger test stands, teams started using NDAS in the E Test Complex in 2017, first at the E-2 Test Stand, then on the E-1 and E-3 stands in 2020.
Growth of the project was “a little overwhelming,” Lacher recalled. The team maintained the software on active stands supporting tests, while also continuing to develop the software for other areas and their many unique requirements.
Each request for change had to be tracked, implemented into the code, tested in the lab, then deployed and validated on the test stands.
“This confluence of requirements tested my knowledge of every stand and its uniqueness,” said Lacher. “I had to understand the need, the effort to meet it, and then had to make decisions as to the priorities the team would work on first.”
Creation of the data system and its ongoing updates have transformed into opportunities for growth among the NASA Stennis teams working together.
“From a mechanical test operations perspective, NDAS has been a pretty easy system to learn,” said Derek Zacher, NASA test operations engineer. “The developers are responsive to the team’s ideas for improvement, and our experience has consistently improved with the changes that enable us to view our data in new ways.”
Originally designed to support the RPT office at NASA Stennis, the software is expanding beyond south Mississippi to other test centers, attracting interest from various NASA programs and projects, and garnering attention from government agencies that require reliable and scalable data acquisition. “It can be adopted nearly anywhere, such as aerospace and defense, research and development institutions and more places, where data acquisition systems are needed,” said Mobbs. “It is an ever-evolving solution.”
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Last Updated May 08, 2025 EditorNASA Stennis CommunicationsContactC. Lacy Thompsoncalvin.l.thompson@nasa.gov / (228) 688-3333LocationStennis Space Center Related Terms
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By NASA
Editor’s Note: The following is one of three related articles about the NASA Data Acquisition System and related efforts. Please visit Stennis News – NASA to access accompanying articles.
NASA software engineer Brandon Carver updates how the main data acquisition software processes information at NASA’s Stennis Space Center, where he has contributed to the creation of the center’s first-ever open-source software.NASA/Danny Nowlin Syncom Space Services software engineer Shane Cravens, the chief architect behind the first-ever open-source software at NASA’s Stennis Space Center, verifies operation of the site’s data acquisition hardware.NASA/Danny Nowlin NASA’s Stennis Space Center near Bay St. Louis, Mississippi, has released its first-ever open-source software, a peer review tool to facilitate more efficient and collaborative creation of systems applications, such as those used in its frontline government and commercial propulsion test work.
“Everyone knows NASA Stennis as the nation’s premier rocket propulsion test site,” said David Carver, acting chief of the Office of Test Data and Information Management. “We also are engaged in a range of key technology efforts. This latest open-source tool is an exciting example of that work, and one we anticipate will have a positive and widespread impact.”
The new NASA Data Acquisition System Peer Review Tool was developed over several years, built on lessons learned as site developers and engineers created software tools for use across the center’s sprawling test complex. It is designed to simplify and amplify the collaborative review process, allowing developers to build better and more effective software applications.
The new NASA Stennis Peer Review tool was developed using the same software processes that built NDAS. As center engineers and developers created software to monitor and analyze data from rocket propulsion tests, they collaborated with peers to optimize system efficiency. What began as an internal review process ultimately evolved into the open-source code now available to the public.
“We refined it (the peer review tool) over a period of time, and it has improved our process significantly,” said Brandon Carver (no relation), a NASA Stennis software engineer. “In early efforts, we were doing reviews manually, now our tool handles some of these steps for us. It has allowed us to focus more on reviewing key items in our software.”
Developers can improve time, efficiency, and address issues earlier when conducting software code reviews. The result is a better, more productive product.
The NASA Stennis tool is part of the larger NASA Data Acquisition System created at the center to help monitor and collect propulsion test data. It is designed to work with National Instruments LabVIEW, which is widely used by systems engineers and scientists to design applications. LabVIEW is unique in using graphics (visible icon objects) instead of a text-based programming language to create applications. The graphical approach makes it more challenging to compare codes in a review process.
“You cannot compare your code in the same way you do with a text-based language,” Brandon Carver said. “Our tool offers a process that allows developers to review these LabVIEW-developed programs and to focus more time on reviewing actual code updates.”
LabVIEW features a comparison tool, but NASA Stennis engineers identified ways they could improve the process, including by automating certain steps. The NASA Stennis tool makes it easier to post comments, pictures, and other elements in an online peer review to make discussions more effective.
The result is what NASA Stennis developers hope is a more streamlined, efficient process. “It really optimizes your time and provides everything you need to focus on right in front of you,” Brandon Carver said. “That’s why we wanted to open source this because when we were building the tool, we did not see anything like it, or we did not see anything that had features that we have.”
“By providing it to the open-source community, they can take our tool, find better ways of handling things, and refine it,” Brandon Carver said. “We want to allow those groups to modify it and become a community around the tool, so it is continuously improved. Ultimately, a peer review is to make stronger software or a stronger product and that is also true for this peer review tool.
“It is a good feeling to be part of the process and to see something created at the center now out in the larger world across the agency,” Brandon Carver said. “It is pretty exciting to be able to say that you can go get this software we have written and used,” he acknowledged. “NASA engineers have done this. I hope we continue to do it.”
To access the peer review tool developed at NASA Stennis, visit NASA GitHub.
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Last Updated May 08, 2025 EditorNASA Stennis CommunicationsContactC. Lacy Thompsoncalvin.l.thompson@nasa.gov / (228) 688-3333LocationStennis Space Center Related Terms
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By USH
In a groundbreaking development, advances in quantum data analysis have led to a discovery no scientist could have foreseen. NASA’s deep space monitoring system, upgraded with a quantum processor designed to filter cosmic noise and decode interstellar signals, produced something startling: an image.
A conceptual interpretation of the Voyager 1 image.
But this wasn’t an input, a simulation, or a product of algorithmic imagination. It wasn’t the result of random noise or a misfired pattern recognition process. The quantum system returned a coherent, structured, and symmetrical image, undeniably artificial. And the data it derived from? None other than Voyager 1.
Renowned physicist Michio Kaku addressed the anomaly in a recent interview: “We may be witnessing the first whisper of a new intelligence, something not man-made, not terrestrial, and certainly not random.”
The image, reconstructed via entangled qubit networks, depicted a figure: humanoid in silhouette, yet composed of geometric segments that defied any known biological or mechanical blueprint. It seemed deliberately crafted to challenge human comprehension, alien, yet eerily familiar enough to spark recognition.
Not long ago, NASA pushed the boundaries of computation by launching an experimental quantum computer, capable of processing vast, multidimensional data streams. But after this revelation, NASA abruptly shut down the system following the unexpected and unsettling incident, in 2023, though some believe the research continued in secret.
Meanwhile, Voyager 1—the most distant human-made object in space, still traveling beyond our solar system after 45 years—has been transmitting strange, inexplicable data. According to NASA engineers, the spacecraft’s Attitude Articulation and Control System (AACS) began sending signals that “do not reflect what’s actually happening onboard.”
Instead of useful telemetry, Voyager 1 has been broadcasting a puzzling sequence: a repeating pattern of ones and zeros. Initially dismissed as a glitch, engineers traced the anomaly to the Flight Data Subsystem (FDS), pinpointing a malfunctioning chip. Yet, despite their efforts, the signal persisted, a digital enigma from 24 billion kilometers away.
Is this merely a failing system showing its age? Or is something, or someone, intentionally altering the data?
What if this “error” is a message? And if so, who’s sending it?
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By NASA
6 min read
NASA Data Helps Map Tiny Plankton That Feed Giant Right Whales
This North Atlantic right whale, named “Bowtie,” was spotted feeding in southern Maine waters in January 2025. A new technique aims to use NASA satellite data to see the plankton these whales depend on from space. Credit: New England Aquarium, taken under NMFS permit # 25739 In the waters off New England, one of Earth’s rarest mammals swims slowly, mouth agape. The North Atlantic right whale filters clouds of tiny reddish zooplankton — called Calanus finmarchicus — from the sea. These zooplankton, no bigger than grains of rice, are the whale’s lifeline. Only about 370 of these massive creatures remain.
For decades, tracking the tiny plankton meant sending research vessels out in the ocean, towing nets and counting samples by hand. Now, scientists are looking from above instead.
Using NASA satellite data, researchers found a way to detect Calanus swarms at the ocean surface in the Gulf of Maine, picking up on the animals’ natural red pigment. This early-stage approach, described in a new study, may help researchers better estimate where the copepods gather, and where whales might follow.
Tracking the zooplankton from space could aid both the whales and maritime industries. By predicting where these mammals are likely to feed, researchers and marine resource managers hope to reduce deadly vessel strikes and fishing gear entanglements — two major threats to the species. Knowing the feeding patterns could also help shipping and fishing industries operate more efficiently.
Calanus finmarchicus, a tiny zooplankton powering North Atlantic food webs, fuels right whale populations with its energy-rich lipid reserves. Credit: Cameron Thompson “NASA invests in this kind of research because it connects space-based observation with real-world challenges,” said Cynthia Hall, a support scientist at NASA headquarters in Washington. She works with the Early Career Research Program, which partly funded the work. “It’s yet another a way to put NASA satellite data to work for science, communities, and ecosystems.”
Revealing the Ocean’s Hidden Patterns
The new approach uses data from the Moderate Resolution Imaging Spectroradiometer (MODIS) aboard NASA’s Aqua satellite. The MODIS instrument doesn’t directly see the copepods themselves. Instead, it reads how the spectrum of sunlight reflected from the ocean surface changes in response to what’s in the water.
When large numbers of the zooplankton rise to the surface, their reddish pigment — astaxanthin, the same compound that gives salmon its pink color — subtly alters how photons, or particles of light, from the sun are absorbed or scattered in the water. The fate of these photons in the ocean depends on the mix of living and non-living matter in seawater, creating a slight shift in color that MODIS can detect.
“We didn’t know to look for Calanus before in this way,” said Catherine Mitchell, a satellite oceanographer at Bigelow Laboratory for Ocean Sciences in East Boothbay, Maine. “Remote sensing has typically focused on smaller things like phytoplankton. But recent research suggested that larger, millimeter-sized organisms like zooplankton can also influence ocean color.”
A few years ago, researchers piloted a satellite method for detecting copepods in Norwegian waters. Now, some of those same scientists — along with Mitchell’s team — have refined the approach and applied it to the Gulf of Maine, a crucial feeding ground for right whales during their northern migration. By combining satellite data, a model, and field measurements, they produced enhanced images that revealed Calanus swarms at the sea surface, and were able to estimate numbers of the tiny animals.
“We know the right whales are using habitats we don’t fully understand,” said Rebekah Shunmugapandi, also a satellite oceanographer at Bigelow and the study’s lead author. “This satellite-based Calanus information could eventually help identify unknown feeding grounds or better anticipate where whales might travel.”
Tracking Elusive Giants
Despite decades of study, North Atlantic right whales remain remarkably enigmatic to scientists. Once fairly predictable in their movements along the Eastern Seaboard of North America, these massive mammals began abandoning some traditional feeding grounds in 2010-2011. Their sudden shift to unexpected areas like the Gulf of Saint Lawrence caught people off guard, with deadly consequences.
“We’ve had whales getting hit by ships and whales getting stuck in fishing gear,” said Laura Ganley, a research scientist in the Anderson Cabot Center for Ocean Life at the New England Aquarium in Boston, which conducts aerial and boat surveys of the whales.
In 2017, the National Oceanic and Atmospheric Administration designated the situation as an “unusual mortality event” in an effort to address the whales’ decline. Since then, 80 North Atlantic right whales have been killed or sustained serious injuries, according to NOAA.
NASA satellite imagery from June 2009 was used to test a new method for detecting the copepod Calanus finmarchicus in the Gulf of Maine and estimating their numbers from space. Credit: NASA Earth Observatory image by Wanmei Liang, using data from Shunmugapandi, R., et al. (2025) In the Gulf of Maine, there’s less shipping activity, but there can be a complex patchwork of lobster fishing gear, said Sarah Leiter, a scientist with the Maine Department of Marine Resources. “Each fisherman has 800 traps or so,” Leiter explained. “If a larger number of whales shows up suddenly, like they just did in January 2025, it is challenging. Fishermen need time and good weather to adjust that gear.”
What excites Leiter the most about the satellite data is the potential to use it in a forecasting tool to help predict where the whales could go. “That would be incredibly useful in giving us that crucial lead time,” she said.
PACE: The Next Generation of Ocean Observer
For now, the Calanus-tracking method has limitations. Because MODIS detects the copepods’ red pigment, not the animals themselves, that means other small, reddish organisms can be mistaken for the zooplankton. And cloud cover, rough seas, or deeper swarms all limit what satellites can spot.
MODIS is also nearing the end of its operational life. But NASA’s next-generation PACE (Plankton, Aerosol, Cloud, ocean Ecosystem) satellite — launched in 2024 — is poised to make dramatic improvements in the detection of zooplankton and phytoplankton.
NASA’s Ocean Color Instrument on the PACE satellite captured these swirling green phytoplankton blooms in the Gulf of Maine in April 2024. Such blooms fuel zooplankton like Calanus finmarchicus. Credit: NASA “The PACE satellite will definitely be able to do this, and maybe even something better,” said Bridget Seegers, an oceanographer and mission scientist with the PACE team at NASA’s Goddard Space Flight Center in Greenbelt, Maryland.
The PACE mission includes the Ocean Color Instrument, which detects more than 280 wavelengths of light. That’s a big jump from the 10 wavelengths seen by MODIS. More wavelengths mean finer detail and better insights into ocean color and the type of plankton that the satellite can spot.
Local knowledge of seasonal plankton patterns will still be essential to interpret the data correctly. But the goal isn’t perfect detection, the scientists say, but rather to provide another tool to inform decision-making, especially when time or resources are limited.
By Emily DeMarco
NASA Headquarters
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Last Updated May 05, 2025 Editor Emily DeMarco Related Terms
Earth Moderate Resolution Imaging Spectroradiometer (MODIS) Oceans PACE (Plankton, Aerosol, Cloud, Ocean Ecosystem) Explore More
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