7 research outputs found
The NEO Surveyor Near Earth Asteroid Known Object Model
The known near-Earth object (NEO) population consists of over 32,000 objects,
with a yearly discovery rate of over 3000 NEOs per year. An essential component
of the next generation of NEO surveys is an understanding of the population of
known objects, including an accounting of the discovery rate per year as a
function of size. Using a near-Earth asteroid (NEA) reference model developed
for NASA's NEO Surveyor (NEOS) mission and a model of the major current and
historical ground-based surveys, an estimate of the current NEA survey
completeness as a function of size and absolute magnitude has been determined
(termed the Known Object Model; KOM). This allows for understanding of the
intersection of the known catalog of NEAs and the objects expected to be
observed by NEOS. The current NEA population is found to be complete
for objects larger than 140m, consistent with estimates by Harris & Chodas
(2021). NEOS is expected to catalog more than two thirds of the NEAs larger
than 140m, resulting in of NEAs cataloged at the end of its 5 year
nominal survey (Mainzer et al, 2023}, making significant progress towards the
US Congressional mandate. The KOM estimates that of the currently
cataloged objects will be detected by NEOS, with those not detected
contributing to the final completeness at the end its 5 year mission.
This model allows for placing the NEO Surveyor mission in the context of
current surveys to more completely assess the progress toward the goal of
cataloging the population of hazardous asteroids.Comment: 27 pages, 18 figures, 3 tables. Accepted for publication in Planetary
Science Journal (PSJ
Validation of the Survey Simulator tool for the NEO Surveyor mission using NEOWISE data
The Near Earth Object Surveyor mission has a requirement to find two-thirds
of the potentially hazardous asteroids larger than 140 meters in size. In order
to determine the mission's expected progress toward this goal during design and
testing, as well as the actual progress during the survey, a simulation tool
has been developed to act as a consistent and quantifiable yardstick. We test
that the survey simulation software is correctly predicting on-sky positions
and thermal infrared fluxes by using it to reproduce the published measurements
of asteroids from the NEOWISE mission. We then extended this work to find
previously unreported detections of known near Earth asteroids in the NEOWISE
data archive, a search that resulted in 21,661 recovery detections, including
1,166 objects that had no previously reported NEOWISE observations. These
efforts demonstrate the reliability of the NEOS Survey Simulator tool, and the
perennial value of searchable image and source catalog archives for extending
our knowledge of the small bodies of the Solar System.Comment: 19 pages, 6 figures, accepted for publication in PS
Size and Albedo Constraints for (152830) Dinkinesh Using WISE Data
Probing small main-belt asteroids provides insight into their formation and
evolution through multiple dynamical and collisional processes. These asteroids
also overlap in size with the potentially hazardous near-earth object
population and supply the majority of these objects. The Lucy mission will
provide an opportunity for study of a small main-belt asteroid, (152830)
Dinkinesh. The spacecraft will perform a flyby of this object on November 1,
2023, in preparation for its mission to the Jupiter Trojan asteroids. We
employed aperture photometry on stacked frames of Dinkinesh obtained by the
Wide-field-Infrared Survey Explorer and performed thermal modeling on a
detection at 12 m to compute diameter and albedo values. Through this
method, we determined Dinkinesh has an effective spherical diameter of
km and a visual geometric albedo of
at the 16th and 84th percentiles. This albedo is
consistent with typical stony (S-type) asteroids.Comment: Submitted to Astrophysical Journal Letter
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Modeling Herriott cells using the linear canonical transform.
We demonstrate a new way to analyze stable, multipass optical cavities (Herriott cells), using the linear canonical transform formalism, showing that re-entrant designs reproduce an arbitrary input field at the output, resulting in useful symmetries. We use this analysis to predict the stability of cavities used in interferometric delay lines for temporal pulse addition
Modeling Herriott cells using the linear canonical transform.
We demonstrate a new way to analyze stable, multipass optical cavities (Herriott cells), using the linear canonical transform formalism, showing that re-entrant designs reproduce an arbitrary input field at the output, resulting in useful symmetries. We use this analysis to predict the stability of cavities used in interferometric delay lines for temporal pulse addition