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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 European Space Agency
ESA Director General Josef Aschbacher emphasises the importance of cooperation in space activities
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By European Space Agency
As the new Biomass satellite settles into life in orbit following its launch on 29 April, ESA has released its most extensive satellite-based maps of above-ground forest carbon to date. Spanning nearly two decades, the dataset offers the clearest global picture yet of how forest carbon stocks have changed over time.
Developed through ESA’s Climate Change Initiative, this new long-term record integrates data from multiple satellite missions – and will soon be further enhanced by data from the Biomass mission itself.
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By NASA
4 min read
May’s Night Sky Notes: How Do We Find Exoplanets?
Astronomers have been trying to discover evidence that worlds exist around stars other than our Sun since the 19th century. By the mid-1990s, technology finally caught up with the desire for discovery and led to the first discovery of a planet orbiting another sun-like star, Pegasi 51b. Why did it take so long to discover these distant worlds, and what techniques do astronomers use to find them?
The Transit Method
A planet passing in front of its parent star creates a drop in the star’s apparent brightness, called a transit. Exoplanet Watch participants can look for transits in data from ground-based telescopes, helping scientists refine measurements of the length of a planet’s orbit around its star. Credit: NASA’s Ames Research Center One of the most famous exoplanet detection methods is the transit method, used by Kepler and other observatories. When a planet crosses in front of its host star, the light from the star dips slightly in brightness. Scientists can confirm a planet orbits its host star by repeatedly detecting these incredibly tiny dips in brightness using sensitive instruments. If you can imagine trying to detect the dip in light from a massive searchlight when an ant crosses in front of it, at a distance of tens of miles away, you can begin to see how difficult it can be to spot a planet from light-years away! Another drawback to the transit method is that the distant solar system must be at a favorable angle to our point of view here on Earth – if the distant system’s angle is just slightly askew, there will be no transits. Even in our solar system, a transit is very rare. For example, there were two transits of Venus visible across our Sun from Earth in this century. But the next time Venus transits the Sun as seen from Earth will be in the year 2117 – more than a century from the 2012 transit, even though Venus will have completed nearly 150 orbits around the Sun by then!
The Wobble Method
As a planet orbits a star, the star wobbles. This causes a change in the appearance of the star’s spectrum called Doppler shift. Because the change in wavelength is directly related to relative speed, astronomers can use Doppler shift to calculate exactly how fast an object is moving toward or away from us. Astronomers can also track the Doppler shift of a star over time to estimate the mass of the planet orbiting it. NASA, ESA, CSA, Leah Hustak (STScI) Spotting the Doppler shift of a star’s spectra was used to find Pegasi 51b, the first planet detected around a Sun-like star. This technique is called the radial velocity or “wobble” method. Astronomers split up the visible light emitted by a star into a rainbow. These spectra, and gaps between the normally smooth bands of light, help determine the elements that make up the star. However, if there is a planet orbiting the star, it causes the star to wobble ever so slightly back and forth. This will, in turn, cause the lines within the spectra to shift ever so slightly towards the blue and red ends of the spectrum as the star wobbles slightly away and towards us. This is caused by the blue and red shifts of the star’s light. By carefully measuring the amount of shift in the star’s spectra, astronomers can determine the size of the object pulling on the host star and if the companion is indeed a planet. By tracking the variation in this periodic shift of the spectra, they can also determine the time it takes the planet to orbit its parent star.
Direct Imaging
Finally, exoplanets can be revealed by directly imaging them, such as this image of four planets found orbiting the star HR 8799! Space telescopes use instruments called coronagraphs to block the bright light from the host star and capture the dim light from planets. The Hubble Space Telescope has captured images of giant planets orbiting a few nearby systems, and the James Webb Space Telescope has only improved on these observations by uncovering more details, such as the colors and spectra of exoplanet atmospheres, temperatures, detecting potential exomoons, and even scanning atmospheres for potential biosignatures!
NASA’s James Webb Space Telescope has provided the clearest look in the infrared yet at the iconic multi-planet system HR 8799. The closest planet to the star, HR 8799 e, orbits 1.5 billion miles from its star, which in our solar system would be located between the orbit of Saturn and Neptune. The furthest, HR 8799 b, orbits around 6.3 billion miles from the star, more than twice Neptune’s orbital distance. Colors are applied to filters from Webb’s NIRCam (Near-Infrared Camera), revealing their intrinsic differences. A star symbol marks the location of the host star HR 8799, whose light has been blocked by the coronagraph. In this image, the color blue is assigned to 4.1 micron light, green to 4.3 micron light, and red to the 4.6 micron light. NASA, ESA, CSA, STScI, W. Balmer (JHU), L. Pueyo (STScI), M. Perrin (STScI) You can find more information and activities on NASA’s Exoplanets page, such as the Eyes on Exoplanets browser-based program, The Exoplaneteers, and some of the latest exoplanet news. Lastly, you can find more resources in our News & Resources section, including a clever demo on how astronomers use the wobble method to detect planets!
The future of exoplanet discovery is only just beginning, promising rich rewards in humanity’s understanding of our place in the Universe, where we are from, and if there is life elsewhere in our cosmos.
Originally posted by Dave Prosper: July 2015
Last Updated by Kat Troche: April 2025
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By NASA
Curiosity Navigation Curiosity Home Mission Overview Where is Curiosity? Mission Updates Science Overview Instruments Highlights Exploration Goals News and Features Multimedia Curiosity Raw Images Images Videos Audio Mosaics More Resources Mars Missions Mars Sample Return Mars Perseverance Rover Mars Curiosity Rover MAVEN Mars Reconnaissance Orbiter Mars Odyssey More Mars Missions Mars Home 3 min read
Sols 4525-4526: The Day After Groundhog Day (Between Ghost Mountain and Texoli, Headed South)
NASA’s Mars rover Curiosity acquired this image showing ChemCam/Mastcam targets “Breeze Hill” and “Laguna Mountain,” together with a rover wheel planted firmly on the Martian surface. Curiosity captured the image using its Left Navigation Camera on April 27, 2025 — Sol 4523, or Martian day 4,523 of the Mars Science Laboratory mission — at 13:23:32 UTC. NASA/JPL-Caltech Written by Lucy Lim, Planetary Scientist at NASA Goddard Space Flight Center
Earth planning date: Monday, April 28, 2025
Curiosity is back on the road! For sols 4525 and 4526, we have an isolated nominal plan in which the communication pass timing works out in such a way that the rover can fit in fully targeted science blocks on both sols rather than just the first sol. So in this power-hungry Martian winter season, we’re in a good position to take advantage of the power saved up during the missed uplink.
The weekend drive went well and delivered the rover into a stable, arm-work-compatible position in a workspace with rock targets that we could brush with the DRT. Happy days! The DRT/APXS/MAHLI measurements will bring us geochemical and rock texture data from local bedrock blocks “Bradshaw Trail” and “Sweetwater River.” Further geochemical information will come from the ChemCam LIBS rasters on a more coarsely layered target, “Breeze Hill,” and an exposed layer expressing both polygonal features and a vein or coating of dark-toned material, “Laguna Mountain.”
Long-distance imaging with the ChemCam RMI included a mosaic to add to our coverage of the boxwork sedimentary features of the type Curiosity will soon be exploring in situ. A second RMI mosaic was planned to cover a truncated sedimentary horizon on the Texoli butte that may provide further evidence of ancient aeolian scouring events. Meanwhile, the “Morrell Potrero” Mastcam mosaic will provide some detail on the base of the boxwork-bearing “Ghost Mountain” butte and on a ridge nearby. In the drive direction, the “Garnet Peak” mosaic will capture some potentially new rock textures and colors in the upcoming strata.
Nearer-field imaging in the plan includes Mastcam documentation of some troughs that provide evidence for sand and dust movement in response to the modern aeolian environment. Additionally Mastcam mosaics went to “Breeze Hill” (covering the LIBS target) and “Live Oak” to document variations in bedding, color, and texture in the nearby bedrock.
A few observations of the modern environment were scheduled for the afternoon: a phase function sky survey to look for scattered light from thin water-ice clouds and a separate set of cloud altitude observations.
Finally, a Mastcam documentation image was planned for the AEGIS LIBS target from the weekend plan! This reflects an update to the rover’s capability in which the AEGIS target can be determined and downlinked in time for the decisional downlink pass, so that we know where to look for it during the next planning cycle.
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Last Updated Apr 30, 2025 Related Terms
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