When sunlight hits an asteroid’s surface, it both reflects photons and absorbs them to emit their energy in the infrared. Astronomers use telescopes to amplify the light in the night sky combined with sensors designed to detect signals at wavelengths carrying pertinent information about the target under study. This chapter describes the systems for near Earth object (NEO) detection and characterization and explains the value of searching for NEOs while simultaneously characterizing them using a space-based platform.
In the past 23 years, the search for NEOs has been dominated by ground-based, visible-wavelength telescope systems. These systems are described briefly below.
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1 Massachusetts Institute of Technology Lincoln Laboratory, 2019, “On The Watch for Potentially Hazardous Asteroids,” https://www.ll.mit.edu/impact/watch-potentially-hazardous-asteroids.
2 Massachusetts Institute of Technology Lincoln Laboratory, 2019, “Space Surveillance Telescope,” https://www.ll.mit.edu/r-d/projects/space-surveillance-telescope.
3 J.D. Ruprecht, G. Ushomirsky, D.F. Woods, H.E.M. Viggh, J. Varey, M.E. Cornell, G. Stokes, 2015, “Asteroid Detection Results Using the Space Surveillance Telescope,” paper presented at the American Astronomical Society, DPS meeting #47, id.308.02, https://apps.dtic.mil/dtic/tr/fulltext/u2/1001992.pdf.
There have been far fewer space-based NEO surveys, including the following:
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4 S.H. Pravdo, D.L. Rabinowitz, E.F. Helin, K.J. Lawrence, R.J. Bambery, C.C. Clark, S.L. Groom, et al., 1999, The Near-Earth Asteroid Tracking (NEAT) Program: An automated system for telescope control, wide-field imaging, and object detection, The Astronomical Journal 117:1616-1633.
5 Ibid.
6 T. Morgan, 2019, Near Earth Asteroid Tracking V1.0, NASA, urn:nasa:pds:context_pds3:data_set:data_set.ear-a-i1063-3-neat-v1.0.
7 T. Bowell and B. Koehn, 2008, “The Lowell Observatory Near-Earth-Object Search,” last modified April 1, https://asteroid.lowell.edu/asteroid/loneos/loneos.html.
8 T. Bowell and B. Koehn, 2004, “About LONEOS,” last updated July 23, https://asteroid.lowell.edu/asteroid/loneos/loneos1.html.
9 T. Bowell and B. Koehn, 2000, “Searching for Near-Earth-Objects,” last updated May 30, https://asteroid.lowell.edu/asteroid/loneos/loneos2.html.
10 T. Bowell and B. Koehn, 2008, “LONEOS Asteroid Observations,” last updated December 16, https://asteroid.lowell.edu/asteroid/loneos/public_obs.html.
11 University of Arizona, 2019, “About CSS,” https://catalina.lpl.arizona.edu/.
12 See http://pswww.ifa.hawaii.edu/pswww/.
13 See the University of Hawaii Pan-STARRS1 data archive home page at https://panstarrs.stsci.edu/.
14 University of Hawaii, “ATLAS Project: Asteroid Terrestrial-Impact Last Alert System (ATLAS),” http://atlas.fallingstar.com/home.php.
15 NASA also funded NEA searches with the Dark Energy Camera on the 4-meter Blanco Telescope in Chile between 2014 and 2016.
16 California Institute of Technology, 2019, “The NEOWISE Project,” https://neowise.ipac.caltech.edu/.
Over time, NEO surveys have used larger telescopes that have more sensitive detectors and observe larger regions of the night sky. As a result, the rate of NEO discoveries over the past 20 years has risen steadily, to the point where more than 2,000 NEOs were discovered in 2017 alone—two orders of magnitude more annual discoveries than in 1995. The impact of adding new, complementary telescopic search programs can be seen in the increase of the number of new NEOs discovered as systems have come online over time (see Figure 3.3).
CSS and Pan-STARRS are both extending the number of discoveries and finding smaller objects. Figure 3.4 shows the impact of the CSS and Pan-STARRs surveys contributing to the discovery rate of objects >140 meters.
As shown in Figure 3.5, current NEO survey systems will not satisfy the George E. Brown Act goals regardless of how long they operate.
Ground-based telescopes continue to add to our inventory of NEOs, as seen by the steep slopes of the cumulative numbers of NEOs discovered larger than 140 meters in Figure 3.5. This trend will continue into the future, particularly as new ground-based telescopes come online.
Of particular importance to the ground-based NEO search, the Large Synoptic Survey Telescope (LSST)17 is scheduled to come online in 2023. Located in Chile, it will conduct a 10-year baseline survey using an 8.4-meter mirror (see Figure 3.6). One of LSST’s four science goals is to observe the solar system. The other three goals are astrophysical: understanding dark matter, exploring the changing sky, and tracking motions of stars in the Milky Way galaxy. The planned operations will find many more NEOs, but the accuracy of the diameter measurements is not as good as that determined by infrared observations and will not reach the completeness requirements of the George E. Brown Act. LSST’s contributions to NEO survey goals have been modeled, yielding the following results:
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17 National Science Foundation, 2019, “Mirror, Mirror on the Mountain—LSST Primary/Tertiary Mirror (M1M3) Arrives on Cerro Pachón,” May 11, https://www.lsst.org/news/mirror-mirror-mountain.
At the same time that LSST will contribute to the NEO search and discovery, photometric measurements obtained by the telescope can be used to infer diameter estimates that have larger uncertainties than those derived from infrared measurements. LSST diameter estimates are derived from the absolute magnitude (H) from visible photometry and an assumed geometric albedo.19 Unfortunately, catalogue H values are notoriously unreliable (see,
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18 A milli-arcsecond (mas) is one-thousandth of an arc-second, and equals 1/3,600,000th of a degree. It is an angular unit of measure used to describe the apparent size of an object in space as viewed from a telescope either on the ground or in space.
19 The relationship between size, geometric albedo (pV), and absolute visual brightness (H) is: D = 10−H/5 × 1329/
km.
for example, Pravec et al. [2012]20) with errors of up to 0.5 mag or more, depending on the brightness of the object. This problem will probably worsen as smaller (fainter) objects are discovered in future surveys, with a consequent increase in the uncertainty of diameters derived from visual observations. It should be noted that H values are not required for the derivation of diameters from thermal-infrared observations and cannot be provided by the latter. As previously noted, the extreme range for visual albedos is 0.01 to 0.5, whereas the more typical visual geometric albedo (pV) values are between ~0.02 and ~0.35 for well-observed NEOs in the size range greater than ~1 kilometer, and this albedo distribution is assumed to be the same for small NEOs. Under these assumptions, a random NEO LSST discovery with H = 22 will have a diameter between 90 and 375 m. Assuming full multicolor photometry is available, these limits can be reduced to a size range of about 140 to 240 m. Surveys at visual wavelengths are biased against discovering low-albedo objects. A LSST survey starts to become significantly incomplete fainter than H = 21 (Jones et al. 2017); it is likely that many of the missing H = 22 NEOs in visual surveys will have albedos closer to 0.02 than to 0.35. LSST can detect objects fainter than H = 22, but only a fraction of these low-albedo NEOs will be discovered at higher values of H (fainter). Their relatively high infrared fluxes favor detection with an infrared telescope, which is also the preferred method to provide accurate diameters. In this regard, ground- and space-based telescopes are synergistic.
The committee heard from experts on LSST who informed the committee that LSST would be 50-60 percent complete on H < 22 NEOs in 10 years. When combined with other search efforts, this would be approximately
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20 P. Pravec, A.W. Harris, P. Kušnirák, A. Galád, and K. Hornoch, 2012, Absolute magnitudes of asteroids and a revision of asteroid albedo estimates from WISE thermal observations, Icarus 221:365-387.
77 percent. The committee was also informed that even a second dedicated LSST would not achieve the George E. Brown Act goals, and the committee determined that any additional LSST-class telescope would take up to a decade or more to make operational.21
Finding: No existing ground- or space-based platform can satisfy the size and completeness requirements of the George E. Brown Act goals in the foreseeable future.
Finding: It might be possible to build a ground-based telescope that could satisfy the completeness requirement of the George E. Brown Act if operated for a very long time (i.e., many decades). However, such a telescope would not meet the goals for size measurements. A new, dedicated, space-based infrared survey mission is required to achieve the George E. Brown Act goals.
Finding: The LSST will find many NEOs, despite the fact that this is only one of the telescope’s four goals. However, it will not achieve the George E. Brown Act goals. Even an LSST dedicated to finding NEOs would not achieve the George E. Brown Act goals alone, or even in combination with other current ground-based assets.
Discovery observations provide positions for determining orbits and estimates of either diameter (for thermal infrared systems) or absolute magnitudes (H, for visual systems). Additional observations for physical characterization—for example, to determine composition and estimate density—must be obtained by nonsurvey assets. This is because, in general, survey telescopes do not have the required instrumentation and, even if they did, characterization observations would reduce the time spent surveying, and thus reduce the discovery rate. The same is true of follow-up astrometric observations; survey time and space-based instruments should not be spent on obtaining necessary astrometric data for objects that can be observed from the ground and accomplish the same goals.
Finding: Despite the limitations of ground-based telescopes for detection of NEOs, observation by ground-based systems is necessary for subsequent characterization of NEOs after discovery.
Recommendation: If NASA develops a space-based infrared near Earth object (NEO) survey telescope, it should also continue to fund both short- and long-term ground-based observations to refine the orbits and physical properties of NEOs to assess the risk they might pose to Earth, and to achieve the goals of the George E. Brown, Jr. Near-Earth Object Survey Act.
This chapter has identified the current state as well as some of the limitations of ground-based visual NEO surveys. Chapter 4 addresses space-based platforms for NEO surveys.
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21 S. Chesley and P. Vereš, “LSST’s Projected NEO Discovery Performance,” briefing to committee, February 25, 2019.