Acceleration profiles and processing methods for parabolic flight
Parabolic flights provide cost-effective, time-limited access to “weightless” or reduced gravity conditions, facilitating research and validation activities that complement infrequent and costly access to space. Although parabolic flights have been conducted for decades, reference acceleration profi...
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| Format: | Article |
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Springer International Publishing
2018
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| Online Access: | http://hdl.handle.net/1721.1/118454 https://orcid.org/0000-0002-7946-5622 https://orcid.org/0000-0003-2652-8017 |
| _version_ | 1811085829015076864 |
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| author | Ruvkun, Gary Bryan, Noelle C. Saboda, Kendall Nicole Bhattaru, Srinivasa Aditya Zuber, Maria Carr, Christopher E. |
| author2 | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics |
| author_facet | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Ruvkun, Gary Bryan, Noelle C. Saboda, Kendall Nicole Bhattaru, Srinivasa Aditya Zuber, Maria Carr, Christopher E. |
| author_sort | Ruvkun, Gary |
| collection | MIT |
| description | Parabolic flights provide cost-effective, time-limited access to “weightless” or reduced gravity conditions, facilitating research and validation activities that complement infrequent and costly access to space. Although parabolic flights have been conducted for decades, reference acceleration profiles and processing methods are not widely available. Here we present a solution for collecting, analyzing, and classifying the altered gravity environments experienced during parabolic flights, which we validated during a Boeing 727-200F flight with 20 parabolas. All data and analysis code are freely available. Our solution can be integrated with diverse experimental designs, does not depend upon accelerometer orientation, and allows unsupervised classification of all phases of flight, providing a consistent and open-source approach to quantifying gravito-inertial accelerations (GIA), or g levels. As academic, governmental, and commercial use of space advances, data availability and validated processing methods will enable better planning, execution, and analysis of parabolic flight experiments, and thus facilitate future space activities. |
| first_indexed | 2024-09-23T13:16:17Z |
| format | Article |
| id | mit-1721.1/118454 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T13:16:17Z |
| publishDate | 2018 |
| publisher | Springer International Publishing |
| record_format | dspace |
| spelling | mit-1721.1/1184542024-05-15T02:52:52Z Acceleration profiles and processing methods for parabolic flight Ruvkun, Gary Bryan, Noelle C. Saboda, Kendall Nicole Bhattaru, Srinivasa Aditya Zuber, Maria Carr, Christopher E. Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences Carr, Christopher E Bryan, Noelle C. Saboda, Kendall Nicole Bhattaru, Srinivasa Aditya Zuber, Maria Parabolic flights provide cost-effective, time-limited access to “weightless” or reduced gravity conditions, facilitating research and validation activities that complement infrequent and costly access to space. Although parabolic flights have been conducted for decades, reference acceleration profiles and processing methods are not widely available. Here we present a solution for collecting, analyzing, and classifying the altered gravity environments experienced during parabolic flights, which we validated during a Boeing 727-200F flight with 20 parabolas. All data and analysis code are freely available. Our solution can be integrated with diverse experimental designs, does not depend upon accelerometer orientation, and allows unsupervised classification of all phases of flight, providing a consistent and open-source approach to quantifying gravito-inertial accelerations (GIA), or g levels. As academic, governmental, and commercial use of space advances, data availability and validated processing methods will enable better planning, execution, and analysis of parabolic flight experiments, and thus facilitate future space activities. United States. National Aeronautics and Space Administration (Award NNX15AF85G) United States. National Aeronautics and Space Administration (Postdoctoral Fellowship Award 80NSSC17K0688) 2018-10-11T20:17:24Z 2018-10-11T20:17:24Z 2018-08 2018-06 2018-10-05T12:49:42Z Article http://purl.org/eprint/type/JournalArticle 2373-8065 http://hdl.handle.net/1721.1/118454 Carr, Christopher E., et al. “Acceleration Profiles and Processing Methods for Parabolic Flight.” Npj Microgravity, vol. 4, no. 1, Dec. 2018. © 2018 The Authors https://orcid.org/0000-0002-7946-5622 https://orcid.org/0000-0003-2652-8017 http://dx.doi.org/10.1038/s41526-018-0050-3 npj Microgravity Creative Commons Attribution 4.0 International License http://creativecommons.org/licenses/by/4.0/ application/pdf Springer International Publishing Nature |
| spellingShingle | Ruvkun, Gary Bryan, Noelle C. Saboda, Kendall Nicole Bhattaru, Srinivasa Aditya Zuber, Maria Carr, Christopher E. Acceleration profiles and processing methods for parabolic flight |
| title | Acceleration profiles and processing methods for parabolic flight |
| title_full | Acceleration profiles and processing methods for parabolic flight |
| title_fullStr | Acceleration profiles and processing methods for parabolic flight |
| title_full_unstemmed | Acceleration profiles and processing methods for parabolic flight |
| title_short | Acceleration profiles and processing methods for parabolic flight |
| title_sort | acceleration profiles and processing methods for parabolic flight |
| url | http://hdl.handle.net/1721.1/118454 https://orcid.org/0000-0002-7946-5622 https://orcid.org/0000-0003-2652-8017 |
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