Determination of 1929 Asteroid Rotation Periods from WISE Data
We used 22 μ m (W4) Wide-field Infrared Survey Explorer (WISE) observations of 4420 asteroids to analyze lightcurves, and determined spin period estimates for 1929 asteroids. We fit second-order Fourier models at a large number of trial frequencies to the W4 data and analyzed the resulting periodogr...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IOP Publishing
2023-01-01
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| Series: | The Planetary Science Journal |
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| Online Access: | https://doi.org/10.3847/PSJ/acc5e4 |
| _version_ | 1797328432743317504 |
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| author | Adrian L. H. Lam Jean-Luc Margot Emily Whittaker Nathan Myhrvold |
| author_facet | Adrian L. H. Lam Jean-Luc Margot Emily Whittaker Nathan Myhrvold |
| author_sort | Adrian L. H. Lam |
| collection | DOAJ |
| description | We used 22 μ m (W4) Wide-field Infrared Survey Explorer (WISE) observations of 4420 asteroids to analyze lightcurves, and determined spin period estimates for 1929 asteroids. We fit second-order Fourier models at a large number of trial frequencies to the W4 data and analyzed the resulting periodograms. We initially excluded rotational frequencies exceeding 7.57 rotations per day ( P < 3.17 hr), which are not sampled adequately by WISE, and periods that exceed twice the WISE observation interval, which is typically 36 hr. We found that three solutions accurately capture the vast majority of the rotational frequencies in our sample: the best-fit frequency and its mirrors around 3.78 and 7.57 rotations per day. By comparing our solutions with a high-quality control group of 752 asteroid spin periods, we found that one of our solutions is accurate (within 5%) in 88% of the cases. The best-fit, secondary, and tertiary solutions are accurate in 55%, 27%, and 6% of the cases, respectively. We also observed that suppression of aliased solutions was more effective with nonuniform sampling than with quasi-uniform sampling. |
| first_indexed | 2024-03-08T06:51:43Z |
| format | Article |
| id | doaj.art-1731e4194a914373bc33fc55cca86cde |
| institution | Directory Open Access Journal |
| issn | 2632-3338 |
| language | English |
| last_indexed | 2024-03-08T06:51:43Z |
| publishDate | 2023-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | The Planetary Science Journal |
| spelling | doaj.art-1731e4194a914373bc33fc55cca86cde2024-02-03T06:47:59ZengIOP PublishingThe Planetary Science Journal2632-33382023-01-01446110.3847/PSJ/acc5e4Determination of 1929 Asteroid Rotation Periods from WISE DataAdrian L. H. Lam0https://orcid.org/0000-0002-4688-314XJean-Luc Margot1https://orcid.org/0000-0001-9798-1797Emily Whittaker2https://orcid.org/0000-0002-1518-7475Nathan Myhrvold3https://orcid.org/0000-0003-3994-5143Department of Physics and Astronomy, University of California , Los Angeles, CA 90095, USA ; jlm@epss.ucla.edu; Department of Electrical Engineering, University of California , Los Angeles, CA 90095, USADepartment of Physics and Astronomy, University of California , Los Angeles, CA 90095, USA ; jlm@epss.ucla.edu; Department of Earth, Planetary, and Space Sciences, University of California , Los Angeles, CA 90095, USADepartment of Earth, Planetary, and Space Sciences, University of California , Los Angeles, CA 90095, USAIntellectual Ventures, 3150 139th Avenue SE, Bellevue, WA 98005, USAWe used 22 μ m (W4) Wide-field Infrared Survey Explorer (WISE) observations of 4420 asteroids to analyze lightcurves, and determined spin period estimates for 1929 asteroids. We fit second-order Fourier models at a large number of trial frequencies to the W4 data and analyzed the resulting periodograms. We initially excluded rotational frequencies exceeding 7.57 rotations per day ( P < 3.17 hr), which are not sampled adequately by WISE, and periods that exceed twice the WISE observation interval, which is typically 36 hr. We found that three solutions accurately capture the vast majority of the rotational frequencies in our sample: the best-fit frequency and its mirrors around 3.78 and 7.57 rotations per day. By comparing our solutions with a high-quality control group of 752 asteroid spin periods, we found that one of our solutions is accurate (within 5%) in 88% of the cases. The best-fit, secondary, and tertiary solutions are accurate in 55%, 27%, and 6% of the cases, respectively. We also observed that suppression of aliased solutions was more effective with nonuniform sampling than with quasi-uniform sampling.https://doi.org/10.3847/PSJ/acc5e4AsteroidsAsteroid rotationTime series analysisLight curvesInfrared photometry |
| spellingShingle | Adrian L. H. Lam Jean-Luc Margot Emily Whittaker Nathan Myhrvold Determination of 1929 Asteroid Rotation Periods from WISE Data The Planetary Science Journal Asteroids Asteroid rotation Time series analysis Light curves Infrared photometry |
| title | Determination of 1929 Asteroid Rotation Periods from WISE Data |
| title_full | Determination of 1929 Asteroid Rotation Periods from WISE Data |
| title_fullStr | Determination of 1929 Asteroid Rotation Periods from WISE Data |
| title_full_unstemmed | Determination of 1929 Asteroid Rotation Periods from WISE Data |
| title_short | Determination of 1929 Asteroid Rotation Periods from WISE Data |
| title_sort | determination of 1929 asteroid rotation periods from wise data |
| topic | Asteroids Asteroid rotation Time series analysis Light curves Infrared photometry |
| url | https://doi.org/10.3847/PSJ/acc5e4 |
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