# Search for dark photons with synchronized quantum sensor network

Min Jiang  These authors contributed equally to this work CAS Key Laboratory
of Microscale Magnetic Resonance and School of Physical Sciences, University
of Science and Technology of China, Hefei, Anhui 230026, China  CAS Center for
Excellence in Quantum Information and Quantum Physics, University of Science
and Technology of China, Hefei, Anhui 230026, China  Hefei National
Laboratory, University of Science and Technology of China, Hefei 230088, China
Taizhou Hong  These authors contributed equally to this work CAS Key
Laboratory of Microscale Magnetic Resonance and School of Physical Sciences,
University of Science and Technology of China, Hefei, Anhui 230026, China  CAS
Center for Excellence in Quantum Information and Quantum Physics, University
of Science and Technology of China, Hefei, Anhui 230026, China  Hefei National
Laboratory, University of Science and Technology of China, Hefei 230088, China
Dongdong Hu  These authors contributed equally to this work State Key
Laboratory of Particle Detection and Electronics, University of Science and
Technology of China, Hefei, Anhui 230026, China  Yifan Chen  Niels Bohr
International Academy, Niels Bohr Institute, Blegdamsvej 17, Copenhagen 2100,
Denmark  Fengwei Yang  Department of Physics and Astronomy, University of
Utah, Salt Lake City, Utah 84112, USA  Tao Hu  Suzhou Institute of Biomedical
Engineering and Technology Chinese Academy of Sciences, Suzhou, Jiangsu
215163, China  Xiaodong Yang  Suzhou Institute of Biomedical Engineering and
Technology Chinese Academy of Sciences, Suzhou, Jiangsu 215163, China  Jing
Shu<EMAIL_ADDRESS>School of Physics and State Key Laboratory of Nuclear
Physics and Technology, Peking University, Beijing 100871, China  Center for
High Energy Physics, Peking University, Beijing 100871, China  Yue Zhao
<EMAIL_ADDRESS>Department of Physics and Astronomy, University of
Utah, Salt Lake City, Utah 84112, USA  Xinhua Peng<EMAIL_ADDRESS>CAS Key
Laboratory of Microscale Magnetic Resonance and School of Physical Sciences,
University of Science and Technology of China, Hefei, Anhui 230026, China  CAS
Center for Excellence in Quantum Information and Quantum Physics, University
of Science and Technology of China, Hefei, Anhui 230026, China  Hefei National
Laboratory, University of Science and Technology of China, Hefei 230088, China

###### Abstract

Ultralight dark photons constitute a well-motivated candidate for dark matter.
Nevertheless, current constraints on the existence of dark photons with masses
below MHz are predominantly set by cosmological or astrophysical limits. They
behave as effective currents when coupled with standard model photons through
kinetic mixing. When situated in electromagnetic shielded rooms, oscillating
magnetic fields are generated with the maximum field strength proportional to
the shield’s size. Here, we demonstrate a network of 15 atomic magnetometers,
which are synchronized with the Global Positioning System (GPS) and are
situated on the edges of two meter-scale shielded rooms, serving as a powerful
tool to search for dark photons. Both the network’s multiple quantum sensors
and the shield’s large size significantly enhance the expected dark-photon
signals. Using this network, we constrain the kinetic mixing coefficient of
dark photon dark matter over the mass range 1-500 Hz, which gives the
strongest constraint of a terrestrial experiment within this mass window. Our
prospect indicates that future data releases may go beyond the constraints
from the Cosmic Microwave Background and the gas cloud cooling.

Despite the astrophysical evidence for the existence of dark matter over the
past eight decades, direct detection of its non-gravitational interactions
with Standard-Model particles and fields remains elusive. To address this,
numerous theories have been proposed, many of which posit the existence of new
fundamental particles beyond the Standard Model that could make up dark
matter. Among these candidates, a class of ultralight bosons, such as
axions[1, 2, 3] and dark photons[4], stand out as particularly well-motivated.
The existence of these bosons is naturally predicted within fundamental
theories positing extra dimensions[5, 6, 7, 8]. When their mass is below
$\mathcal{O}(1)$ eV, they behave like coherent waves with a large occupation
number within a given correlation length and time.

Numerous experimental efforts have been undertaken to detect bosonic dark
matter. To date, previous searches have primarily focused on axion and axion-
like particles employing inverse Primakoff effects, where they convert into
photons in a strong magnetic field background[9, 10, 11, 12]. Examples of such
experiments include ADMX[13], CAPP[14], Haystack[15], ORGAN[16], DM radio[17],
and ABRACADABRA[18]. On the other hand, laboratory searches for kinetically
mixed dark photon dark matter (DPDM) do not depend on electromagnetic
background fields. DPDM can generate resonant cavity modes or magnetic fields
in an electromagnetic shielded room through effective oscillating currents.
Previous constraints on axion-photon coupling have been reinterpreted into
those for DPDM due to their similarities in detection mechanisms[19].
Recently, DPDM has also been searched for using various strategies, including
resonant LC circuits[20], dish antennas[21], geomagnetic fields[22], atomic
spectroscopy[23], and radio telescopes[24]. Certain experiments, such as
FUNK[25], SuperMAG[26], and QUALIPHIDE[27], have already set constraints on
DPDM. Nevertheless, DPDM mass constraints at $\mathcal{O}(1)$ Hz mostly rely
on astrophysical and cosmological observations, such as anomalous heating up
of the plasma[28, 29, 30, 31] and distortion of the Cosmic Microwave
Background (CMB)[31], both of which are dependent on astrophysical modeling.

Figure 1: Experimental setup for dark photon searches. (a) Two separate shield
rooms located in Harbin and Suzhou with a distance of 1692 km. (b) Schematic
for the shield room, which has dimensions of 2 $\times$ 2 $\times$ 2 m3 and is
made from 5-layer mu-metal. The sensors are placed near the wall of the shield
room and detect the magnetic field (green circle) along the direction parallel
to the wall ($y$-axis). The magnetic field is produced by the effective
current (dashed line) along the $z$-axis. The sensors are synchronized with
the GPS time. (c) Schematic for the magnetometer. The details are present in
the text.

In this Article, we demonstrate a synchronized network of atomic magnetometers
that has been deployed for the purpose of searching for DPDM. These
magnetometers have been situated in two separate electromagnetic shielded
rooms in Harbin and Suzhou, China, with a distance of roughly 1700 km between
the locations. Furthermore, the magnetometers have been synchronized with the
Global Positioning System (GPS) time. The atomic magnetometers in each room
are capable of measuring the magnetic field induced from the DPDM in proximity
to the wall of the shield room. Our experiment involves correlating data from
the different atomic magnetometers in the two locations while simultaneously
scanning the DPDM mass ranging from 1 Hz to 500 Hz. The sensitivity achieved
has been superior to that of existing terrestrial detectors that are currently
available for detecting dark photons. Moreover, our future projections
indicate that it is possible to reach an unexplored parameter space beyond the
current constraints imposed by CMB distortion and gas cloud cooling.

We consider a new massive U(1) gauge boson that kinetically mixes with the
electromagnetic photon through an interaction term of the form
$\varepsilon\,F_{\mu\nu}F^{\prime\mu\nu}/2$. Here ${F}^{\mu\nu}$,
${F}^{\prime\mu\nu}$ represent the field strength tensor of electromagnetism
and the new U(1) boson, respectively, and $\varepsilon$ denotes the kinetic
mixing coefficient between the two. In the interaction picture, the ordinary
electromagnetic current $eJ_{EM}^{\mu}$ is augmented by an effective current
induced from the interaction with the new boson. Specifically, we have
$J^{\mu}_{\textrm{eff}}=-\varepsilon m_{A^{\prime}}^{2}{A}^{\prime\mu}$ [20],
where the mass of the new boson is denoted by $m_{A^{\prime}}$, and
${A}^{\prime}_{\mu}$ is its gauge potential. If the new boson is the DPDM with
a mass below $\mathcal{O}(1)$ eV, it behaves as a wave-like background with a
frequency nearly equal to $m_{A^{\prime}}$.

In order to detect the effective current, we utilize an electromagnetic shield
capable of converting magnetic fields within its confines. Our experimental
setup comprises a network of synchronized atomic magnetometers that are
operated within two separate shield rooms - one located in Harbin, and the
other in Suzhou - with a distance of 1692 km between them. Both rooms are
cuboid in shape and have dimensions of $2\times 2\times 2$ m3. The
magnetometer captures DPDM along the $z$-axis, which subsequently produces a
magnetic field that runs parallel to the walls in a horizontal tangential
direction. Please refer to Fig.1b for a visual depiction of this phenomenon,
which is also elaborated upon in the Supplementary Material. As a result, the
magnitude of the oscillating magnetic field is approximated as (see
Supplementary Information)

$B\approx|\vec{J}_{\textrm{eff}}|\ V^{1/3}\approx 3\times
10^{-12}\,\varepsilon\left(\frac{m_{A^{\prime}}}{10\,\textrm{Hz}}\right)\left(\frac{V^{1/3}}{1\,\textrm{m}}\right)\,\textrm{T},$
(1)

where $\rho\approx m_{A^{\prime}}^{2}|\vec{A}^{\prime 2}|/2$ denotes the local
energy density of dark matter, and the value of this energy density is
approximately 0.45 GeV/cm3. Importantly, the strength of the magnetic field
induced by DPDM is directly proportional to the length scale of the shield
room. This implies that a larger shield room, analogous to the function of a
radar collecting minuscule radio signals, can remarkably enhance the search
for DPDM.

The core of our search experiment involves employing atomic magnetometers
under the spin-exchange relaxation-free (SERF) regime[32]. Each magnetometer
we used comprised a vapor cell that contained a droplet of isotopically
enriched 87Rb, weighing several milligrams, and approximately 700 torr buffer-
gas N2. To optically pump the rubidium atoms in the vapor cell, we utilized a
circularly polarized laser beam with its frequency tuned to the center of the
buffer-gas broadened and shifted D1 line of 87Rb. In the absence of a magnetic
field, the spin magnetic moments align with the beam, resulting in the
maximization of laser light transmission to the photodiode. However, a
magnetic field perpendicular to the beam causes Larmor precession, which
rotates the magnetic moments away from alignment and, consequently, leads to a
detectable decrease in light transmission. This effect produces a zero-field
resonance that acts as a highly sensitive magnetic field indicator. The
magnetic field sensitivity attained is approximately 20 fT/Hz1/2.

Figure 2: Data analysis of dark photon searches. (a) Diagram of the cross-
correlation between the quantum sensors operated in station A and station B,
which are indicated by solid lines. The cross-correlation from the sensors in
the same station (blue dots) and different stations (red dots) are all
calculated. (b) Cross-spectrum of two sensors. The noise from only one sensor
(the peaks of the blue lines) is eliminated by cross-correlation. (c)
Sensitivity of the sensors network of different correlators number. (d) The
relation between sensitivity and correlators number at 10.1 Hz, which is
fitted to the function $a/x^{b}$. (e-g) Signal-to-noise ratio distributions of
cross-correlation between two sensors both in Suzhou, both in Harbin, and
different stations, respectively. The common noise in the shielded room
contributes to only the positive part of the SNR, so the distribution is
asymmetrical. However, the SNR distribution of two sensors from different
stations is symmetrical.

We would like to emphasize the main difference between SERF magnetometers and
existing techniques. Specifically, the LC-circuit approach relies on
electromagnetic induction and, as a result, is not sensitive to low-frequency
electromagnetic fields. In contrast, SERF magnetometers are non-inductive and
well-suited for measuring a wide range of magnetic fields spanning from DC to
several 100 Hz. Furthermore, the fundamental limitations of SERF magnetometers
are the spin-projection noise of alkali atoms, whereas LC circuits are
hindered by classical Johnson noise. Accordingly, SERF magnetometers are
capable of achieving measurements at the few aT/Hz1/2 level. While the global
network of optical magnetometers (GNOME) also utilizes atomic
magnetometers[33], its sensors are installed inside shield rooms that are
approximately 10 centimeters in size. However, the dark photon signal strength
in these rooms is at least one order of magnitude weaker than in our system.
Additionally, the sensors in GNOME are not placed on the surface of the shield
room, where the dark photon signal should theoretically disappear, potentially
limiting its measurement capabilities.

At the heart of our approach lies an array of atomic magnetometers that are
installed in two separate observation stations. While a single atomic
magnetometer is sensitive to the induced current signal from dark photons,
under realistic experimental conditions, these signals may be obfuscated by
noise. To tackle this problem, we simultaneously monitor multiple
magnetometers, with 13 magnetometers installed in Suzhou City and 2
magnetometers in Harbin City, in order to extract potential events from their
correlated signals. Magnetic-field data from these magnetometers are recorded
using custom data-acquisition systems that are synchronized to GPS time. To
analyze this data, we calculate the correlation spectra for every pair of
magnetometers as shown in Fig. 2a. Correlations of signals in one
electromagnetic shielded room or in two different shielded rooms located at
different locations are calculated. For example, Figure 2b displays the cross-
correlation of two magnetometers, revealing a sharp technical noise that can
be easily distinguished.

The sensitivity of our search for dark photons increases significantly with
the number of quantum sensors in the network. In our network, there are 105
correlators in total, which enables us to obtain the cross-correlation
spectrum for each pair of synchronized magnetometers. In Fig. 2c, we depict
the average spectrum of all cross-correlations as a function of the correlator
number. Our results demonstrate a significant improvement in experimental
sensitivities at different frequencies, increasing from approximately 30
fT/Hz1/2 to almost a few fT/Hz1/2. To illustrate this effect, we also plot the
sensitivity at 10.1 Hz as a function of the correlator number in Fig. 2d. The
corresponding sensitivity data can be accurately fitted with an $a/x^{b}$
function, where $b\approx 0.51$. Finally, at 10.1 Hz, the network sensitivity
approaches approximately 1.5 fT/Hz1/2. This level of sensitivity is also
achieved at other frequencies in our network.

Our investigation focuses on analyzing the distribution of the signal-to-noise
ratio in a correlation spectrum between two sensors, and our findings suggest
that correlation spectroscopy is an effective method for characterizing noise
properties. Specifically, we plot the signal-to-noise ratio distribution of
two sensors located in the same shielding room, such as at Harbin station
(Fig. 2e) or Suzhou station (Fig. 2f), which resulted in a surprising
observation: the distribution was asymmetric, with the right side slightly
exceeding the left. Through simulation and analysis, we verify that this
occurs due to the common-mode magnetic field of the shielding room, which
causes the asymmetric distribution. Our estimation of the common-mode noise
was approximately 5 fT/Hz1/2, which agreed with the direct calculation of the
magnetic noise within the shielding room. We also observe the same asymmetric
distribution in the correlation between two sensors at Suzhou station, but the
correlation between magnetometers in Harbin and Suzhou was symmetric, as
expected, given that noise is uncorrelated between two separated shielding
rooms (Fig. 2g).

Figure 3: Signal-to-noise ratio distribution of the quantum sensor network.
The SNR is averaged from all 15 magnetometers. Inset, the SNR distribution of
the data from Monte Carlo simulation.  Figure 4: Results of dark-photon dark
matter search. $95\%$ exclusion of kinetically-mixing DPDM on the
$(m_{A^{\prime}}-\epsilon)$ plane derived in this work is shown in red. The
red dashed line shows the future projection of an upgraded magnetometer
network. Other constraints including Cavendish-Coulomb experiments [34],
cosmic microwave background photon’s transition to dark photon [35, 31], DPDM
heating the plasma [28, 29, 30] and DPDM’s energy deposition into the CMB [35,
31] or during the epoch of He-II reionization [35, 31].

Our network performs broadband searches for dark photon dark matter, which
covers a mass range of 1$\mathit{-}$500 Hz, corresponding to dark photon
masses within $4.14\times 10^{-15}$ to $2.07\times 10^{-12}$ eV. Throughout
the experiment, we ensured that all atomic magnetometers were accurately
synchronized with GPS time and recorded 2000 seconds of real-time data. Based
on the obtained data, we calculate the average correlation spectrum and
produce a histogram of the signal-to-noise ratio (SNR) for the average
correlation spectrum, presented in Fig. 3. It is worth noting that the SNR
histogram is skewed, with most of the SNR values being positively located. To
estimate the $95\%$ confidence level for SNR linked to the measured kinetic
mixing coefficient $\varepsilon$, we carry out Monte Carlo simulations (see
the inset of Fig. 3). The SNR histogram resulting from white noise is in line
with our measurement and yielded 318863 potential DPDM candidates that
exceeded the $95\%$ confidence level. For further validation, we employ
several methods to verify the possibility of true DPDM signals (see
Supplementary Information). Moreover, to verify the reliability of our data
analysis procedure, we insert simulated DPDM signals into our data, and the
analysis method correctly retrieves these signals with their corresponding
kinetic mixing coefficient (see Supplementary Section).

Figure 4 presents the $95\%$ exclusion of kinetic mixing coefficient. Our
experiment attains a sensitivity of $\varepsilon\approx 10^{-5}$ at 500 Hz,
surpassing other terrestrial detection methods for dark photons, including
Cavendish-Coulomb experiments [36], which can detect a massive kinetically
mixed dark photon. Our sensitivity represents a considerable upgrade compared
to prior research, with an improvement of around two orders of magnitude,
covering the entire mass window in our search. We also show the comparison
with astrophysical constraints in Fig. 4, for example, the DM induced heat on
the gas cloud [29], the dwarf galaxy Leo T [30] and the intergalactic medium
[28]. These constraints strongly rely on the cooling rates of these systems
and the understanding of their cooling mechanisms. Furthermore, we note that
stringent limits are obtained by imposing an upper limit on the energy
deposition during the epoch of He-II reionization through Lyman-$\alpha$
observations [35, 31]. However, these constraints are subject to the influence
of significant astrophysical uncertainties, resulting in varying results
depending on several key factors: 1) the probability density functions of
plasma mass at early times, particularly pertaining to the tail distribution;
2) the maximum cutoff on density perturbation scales; and 3) the
transportation of energy injection, which relates to the selection of
sensitivity functions and thresholds. Given the aforementioned uncertainties,
it is important to conduct a terrestrial experiment to investigate the
comparable mass range.

The sensitivity of future experimental setups can be significantly improved by
increasing the number of atomic magnetometers used in our dark-photon search
network, which currently only employs 15 of them. Similar to our existing
setup, a larger shield room can be utilized to distribute the magnetometers in
increasing quantities. In fact, some large-sized mu-metal shields already
contain approximately 1000 existing magnetometers in brain
magnetoencephalography, which could be further utilized. Despite achieving
ultrahigh sensitivities, current atomic magnetometers are still considerably
distant from their fundamental limits. In the near future, the standard
quantum limit of the atomic magnetometer could potentially reach the spin-
projection noise level of 0.01 fT/Hz1/2. Another potential factor to consider
is the length scale of the shield room, which can be expanded up to 20 m in
size to maximize the potential dark photon signal. By leveraging these
prospective magnetometers and investing in one year of integration, we have
the potential to markedly improve our search sensitivity, achieving up to 6
orders of magnitude of improvement over our current limits, as shown in Fig.
4. Recent works have demonstrated the technique of atomic spin squeezing to
increase the sensitivity of magnetometers beyond the standard quantum limits.
It is possible to further improve the sensitivity of our network.

Including other types of magnetometers can lead to the extension of the mass
window of DPDM searches. For instance, radio-frequency atomic magnetometers
have exhibited a level of sensitivity below one femtotesla and can search for
dark photons at a mass range of 10 kHz to 10 MHz. Recent studies have
demonstrated a noise floor of 0.5 fT/Hz1/2 at 300 kHz[37], resulting in a
dark-photon search sensitivity of $\epsilon\approx 10^{-9}$ for only one-
second measurement that is at least two orders of magnitude better than the
corresponding constraints from the Cosmic Microwave Background. Promising
sensors for dark photon detection in the higher frequency regime can be
realized using nitrogen-vacancy center-based magnetometers that have recently
shown $\sim$10 pT/Hz1/2 sensitivity in GHz microwave detection[38, 39]. For
uncovering lower mass values within the range of mHz to Hz, one can include
magnetometers on a rotating table or use a Floquet maser[40].

In this work, we assume a standard halo model for the momentum distribution of
DPDM that forms after virialization. However, it is essential to note that
other types of dark matter distributions, such as anisotropic ones, like a
local cold stream due to the merger of the galaxy, have been considered [41,
42, 43]. Moreover, dark photon fluxes from black holes [44] or cosmological
sources may exist without being the dominant form of dark matter. Our network
has the potential to play a crucial role in determining the nature of these
sources [45, 46]. Excellent localization is expected through the use of
directional detection inside each shield room and the long baselines that
separate various shield rooms. Consequently, such a network of synchronized
quantum sensors can associate multi-messenger astronomy observations together
with gravitational wave detectors and electromagnetic observatories[47].

## Acknowledgements

This work was supported by the Innovation Program for Quantum Science and
Technology (Grant No. 2021ZD0303205), National Natural Science Foundation of
China (grants nos. 11661161018, 11927811, 12004371, 12150014, 12274395), Youth
Innovation Promotion Association (Grant No. 2023474), and National Key
Research and Development Program of China (grant no. 2018YFA0306600). Y.C. is
supported by VILLUM FONDEN (grant no. 37766), by the Danish Research
Foundation, and under the European Union’s H2020 ERC Advanced Grant “Black
holes: gravitational engines of discovery” grant agreement no.
Gravitas–101052587, and by FCT (Fundação para a Ciência e Tecnologia I.P,
Portugal) under project No. 2022.01324.PTDC. F.W.Y. and Y.Z. are supported by
the U.S. Department of Energy under Award No. DESC0009959.

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2016-12-08.4 | 35 | 5.28 | 5.73 | 9.1 | V | Stephens (2017)
2016-12-08.5 | 15 | 5.28 | 5.73 | 9.1 | V | Stephens (2017)
2016-12-10.4 | 27 | 5.25 | 5.73 | 9.0 | V | Stephens (2017)
2016-12-10.5 | 11 | 5.25 | 5.73 | 9.0 | V | Stephens (2017)
(1437) Diomedes
1988-01-25.4 | 5 | 3.94 | 4.90 | 3.0 | B | Binzel & Sauter (1992)
1988-01-26.2 | 8 | 3.94 | 4.90 | 3.1 | B | Binzel & Sauter (1992)
2008-10-25.3 | 91 | 4.11 | 5.03 | 4.7 | R | Stephens (2009)
2008-10-26.3 | 95 | 4.11 | 5.03 | 4.8 | R | Stephens (2009)
2008-11-08.3 | 96 | 4.15 | 5.02 | 5.8 | R | Stephens (2009)
2008-11-29.2 | 104 | 4.30 | 5.02 | 8.4 | R | Stephens (2009)
(1867) Deiphobus
2007-01-19.7 | 32 | 4.78 | 5.18 | 10.4 | R | This work (J. Oey)
2007-01-20.6 | 50 | 4.77 | 5.18 | 10.3 | R | This work (J. Oey)
2010-06-05.4 | 71 | 4.09 | 4.90 | 7.8 | R | French et al. (2012)
2010-06-06.4 | 101 | 4.08 | 4.90 | 7.7 | R | French et al. (2012)
2010-06-13.5 | 50 | 4.02 | 4.90 | 6.4 | R | French et al. (2012)
2010-06-19.4 | 103 | 3.97 | 4.90 | 5.3 | R | French et al. (2012)
2010-06-20.4 | 35 | 3.96 | 4.90 | 5.1 | R | French et al. (2012)
2010-07-03.4 | 114 | 3.90 | 4.90 | 2.5 | R | French et al. (2012)
2010-07-17.3 | 51 | 3.89 | 4.90 | 1.3 | R | French et al. (2012)
2010-07-18.3 | 78 | 3.89 | 4.90 | 1.5 | R | French et al. (2012)
2010-07-31.3 | 36 | 3.94 | 4.90 | 4.1 | R | French et al. (2012)
2010-08-07.3 | 92 | 3.98 | 4.90 | 5.5 | R | French et al. (2012)
2010-08-08.2 | 48 | 3.99 | 4.90 | 5.7 | R | French et al. (2012)
2015-11-12.4 | 27 | 4.75 | 5.35 | 9.0 | V | Stephens et al. (2016a)
2015-11-13.4 | 52 | 4.74 | 5.35 | 8.9 | V | Stephens et al. (2016a)
2015-11-14.4 | 54 | 4.73 | 5.35 | 8.8 | V | Stephens et al. (2016a)
2015-11-15.4 | 35 | 4.71 | 5.35 | 8.7 | V | Stephens et al. (2016a)
2015-11-17.4 | 69 | 4.69 | 5.35 | 8.4 | V | Stephens et al. (2016a)
2015-11-18.4 | 65 | 4.67 | 5.35 | 8.3 | V | Stephens et al. (2016a)
2015-11-19.4 | 76 | 4.66 | 5.35 | 8.2 | V | Stephens et al. (2016a)
2015-11-20.4 | 56 | 4.65 | 5.35 | 8.0 | V | Stephens et al. (2016a)
2015-11-21.4 | 73 | 4.64 | 5.35 | 7.9 | V | Stephens et al. (2016a)
2015-11-22.4 | 66 | 4.63 | 5.35 | 7.8 | V | Stephens et al. (2016a)
2015-11-23.4 | 80 | 4.62 | 5.35 | 7.6 | V | Stephens et al. (2016a)
2015-11-24.4 | 53 | 4.60 | 5.35 | 7.5 | V | Stephens et al. (2016a)
2017-02-05.2 | 38 | 4.37 | 5.32 | 3.2 | V | Stephens & Coley (2017)
2017-02-05.4 | 32 | 4.37 | 5.32 | 3.2 | V | Stephens & Coley (2017)
2017-02-08.2 | 12 | 4.38 | 5.32 | 3.5 | V | Stephens & Coley (2017)
2017-02-15.2 | 34 | 4.41 | 5.32 | 4.5 | V | Stephens & Coley (2017)
2017-02-15.3 | 28 | 4.41 | 5.32 | 4.5 | V | Stephens & Coley (2017)
2017-02-16.2 | 29 | 4.41 | 5.32 | 4.6 | V | Stephens & Coley (2017)
2017-02-16.3 | 17 | 4.41 | 5.32 | 4.6 | V | Stephens & Coley (2017)
2017-02-23.2 | 21 | 4.45 | 5.32 | 5.7 | V | Stephens & Coley (2017)
2017-02-23.3 | 34 | 4.45 | 5.32 | 5.7 | V | Stephens & Coley (2017)
2017-02-24.2 | 27 | 4.46 | 5.32 | 5.9 | V | Stephens & Coley (2017)
2017-02-24.3 | 10 | 4.46 | 5.32 | 5.9 | V | Stephens & Coley (2017)
2017-02-25.2 | 31 | 4.47 | 5.32 | 6.0 | V | Stephens & Coley (2017)
2017-02-25.4 | 20 | 4.47 | 5.32 | 6.1 | V | Stephens & Coley (2017)
2017-02-27.2 | 16 | 4.48 | 5.32 | 6.3 | V | Stephens & Coley (2017)
2017-02-27.3 | 12 | 4.49 | 5.32 | 6.3 | V | Stephens & Coley (2017)
2017-03-01.2 | 31 | 4.50 | 5.32 | 6.6 | V | Stephens & Coley (2017)
2017-03-02.2 | 21 | 4.51 | 5.32 | 6.8 | V | Stephens & Coley (2017)
2017-03-02.3 | 42 | 4.51 | 5.32 | 6.8 | V | Stephens & Coley (2017)
2017-03-03.2 | 27 | 4.52 | 5.32 | 6.9 | V | Stephens & Coley (2017)
2017-03-03.3 | 21 | 4.52 | 5.32 | 6.9 | V | Stephens & Coley (2017)
2017-03-04.2 | 26 | 4.53 | 5.31 | 7.1 | V | Stephens & Coley (2017)
2017-03-04.3 | 31 | 4.53 | 5.31 | 7.1 | V | Stephens & Coley (2017)
2017-03-06.1 | 5 | 4.55 | 5.31 | 7.3 | V | Stephens & Coley (2017)
2017-03-06.3 | 33 | 4.55 | 5.31 | 7.4 | V | Stephens & Coley (2017)
2017-03-07.2 | 17 | 4.56 | 5.31 | 7.5 | V | Stephens & Coley (2017)
2017-03-07.3 | 36 | 4.56 | 5.31 | 7.5 | V | Stephens & Coley (2017)
(1868) Thersites
2016-05-31.3 | 41 | 4.89 | 5.76 | 5.6 | V | Stephens et al. (2016b)
2016-06-01.3 | 34 | 4.90 | 5.76 | 5.7 | V | Stephens et al. (2016b)
2016-06-02.3 | 38 | 4.90 | 5.76 | 5.9 | V | Stephens et al. (2016b)
2016-06-03.2 | 28 | 4.91 | 5.76 | 6.0 | V | Stephens et al. (2016b)
2016-06-04.2 | 31 | 4.92 | 5.76 | 6.1 | V | Stephens et al. (2016b)
2016-06-05.3 | 41 | 4.93 | 5.76 | 6.3 | V | Stephens et al. (2016b)
2017-06-30.2 | 24 | 4.67 | 5.51 | 6.3 | V | Stephens & Warner (2018a)
2017-07-01.3 | 12 | 4.67 | 5.51 | 6.5 | V | Stephens & Warner (2018a)
2017-07-02.3 | 23 | 4.68 | 5.51 | 6.6 | V | Stephens & Warner (2018a)
2017-07-11.2 | 14 | 4.76 | 5.51 | 7.8 | V | Stephens & Warner (2018a)
2017-07-12.2 | 27 | 4.77 | 5.51 | 7.9 | V | Stephens & Warner (2018a)
2017-07-13.2 | 23 | 4.78 | 5.50 | 8.0 | V | Stephens & Warner (2018a)
2017-07-14.2 | 23 | 4.79 | 5.50 | 8.1 | V | Stephens & Warner (2018a)
2017-07-15.2 | 19 | 4.80 | 5.50 | 8.2 | V | Stephens & Warner (2018a)
2017-07-16.2 | 6 | 4.81 | 5.50 | 8.3 | V | Stephens & Warner (2018a)
2017-07-17.2 | 14 | 4.83 | 5.50 | 8.5 | V | Stephens & Warner (2018a)
2019-08-09.3 | 85 | 3.94 | 4.91 | 3.8 | V | Stephens & Warner (2020a)
2019-08-10.3 | 98 | 3.94 | 4.91 | 3.7 | V | Stephens & Warner (2020a)
2019-08-11.3 | 88 | 3.94 | 4.91 | 3.7 | V | Stephens & Warner (2020a)
2019-08-12.3 | 72 | 3.94 | 4.91 | 3.7 | V | Stephens & Warner (2020a)
(1870) Glaukos
2013-10-04.3 | 26 | 4.31 | 5.22 | 4.8 | R | Stephens et al. (2014b)
2013-10-05.2 | 9 | 4.30 | 5.22 | 4.6 | R | Stephens et al. (2014b)
2013-10-06.2 | 37 | 4.29 | 5.22 | 4.4 | R | Stephens et al. (2014b)
2013-10-08.4 | 6 | 4.28 | 5.23 | 4.0 | R | Stephens et al. (2014b)
2013-10-09.4 | 7 | 4.28 | 5.23 | 3.8 | R | Stephens et al. (2014b)
(2207) Antenor
2016-02-05.2 | 22 | 4.17 | 5.05 | 5.5 | V | Stephens et al. (2016a)
2016-02-05.3 | 33 | 4.17 | 5.05 | 5.5 | V | Stephens et al. (2016a)
2016-02-06.1 | 34 | 4.18 | 5.05 | 5.7 | V | Stephens et al. (2016a)
2016-02-06.3 | 37 | 4.18 | 5.05 | 5.7 | V | Stephens et al. (2016a)
2016-02-07.2 | 35 | 4.19 | 5.05 | 5.8 | V | Stephens et al. (2016a)
2016-02-07.3 | 43 | 4.19 | 5.05 | 5.9 | V | Stephens et al. (2016a)
2017-03-24.2 | 53 | 4.31 | 5.08 | 7.7 | V | Stephens & Coley (2017)
2017-03-26.3 | 55 | 4.33 | 5.08 | 8.0 | V | Stephens & Coley (2017)
2017-03-27.2 | 43 | 4.34 | 5.08 | 8.2 | V | Stephens & Coley (2017)
2017-03-28.3 | 44 | 4.35 | 5.08 | 8.3 | V | Stephens & Coley (2017)
2017-03-29.3 | 47 | 4.36 | 5.08 | 8.5 | V | Stephens & Coley (2017)
2017-03-30.2 | 42 | 4.38 | 5.08 | 8.6 | V | Stephens & Coley (2017)
2017-04-01.2 | 34 | 4.40 | 5.08 | 8.9 | V | Stephens & Coley (2017)
2017-04-02.3 | 55 | 4.41 | 5.08 | 9.0 | V | Stephens & Coley (2017)
2018-04-22.9 | 69 | 4.29 | 5.13 | 6.9 | V | Stephens et al. (2018)
2018-05-07.9 | 25 | 4.46 | 5.13 | 9.1 | V | Stephens et al. (2018)
2018-05-08.9 | 47 | 4.47 | 5.13 | 9.2 | V | Stephens et al. (2018)
2018-05-09.9 | 35 | 4.48 | 5.13 | 9.3 | V | Stephens et al. (2018)
2019-03-05.4 | 38 | 4.51 | 5.17 | 8.8 | V | Stephens & Warner (2019b)
2019-03-05.5 | 27 | 4.51 | 5.17 | 8.8 | V | Stephens & Warner (2019b)
2019-03-08.4 | 38 | 4.47 | 5.17 | 8.5 | V | Stephens & Warner (2019b)
2019-03-09.4 | 36 | 4.46 | 5.17 | 8.3 | V | Stephens & Warner (2019b)
2019-03-13.4 | 46 | 4.42 | 5.17 | 7.8 | V | Stephens & Warner (2019b)
2019-03-13.5 | 34 | 4.41 | 5.17 | 7.8 | V | Stephens & Warner (2019b)
2019-03-29.3 | 43 | 4.27 | 5.17 | 5.2 | V | Stephens & Warner (2019b)
2019-03-29.4 | 16 | 4.27 | 5.17 | 5.2 | V | Stephens & Warner (2019b)
2019-03-30.3 | 47 | 4.26 | 5.17 | 5.0 | V | Stephens & Warner (2019b)
2019-03-30.4 | 37 | 4.26 | 5.17 | 5.0 | V | Stephens & Warner (2019b)
2019-04-14.3 | 28 | 4.19 | 5.17 | 2.3 | V | Stephens & Warner (2019b)
(2241) Alcathous
1992-12-27.0 | 5 | 4.28 | 5.25 | 1.4 | V | de Sanctis et al. (1994)
1992-12-28.0 | 11 | 4.28 | 5.25 | 1.3 | V | de Sanctis et al. (1994)
1992-12-29.0 | 8 | 4.27 | 5.25 | 1.1 | V | de Sanctis et al. (1994)
1993-01-26.9 | 5 | 4.36 | 5.24 | 5.4 | V | de Sanctis et al. (1994)
1993-01-29.9 | 5 | 4.38 | 5.24 | 5.9 | V | de Sanctis et al. (1994)
2010-06-05.5 | 26 | 4.28 | 5.14 | 6.6 | R | French et al. (2011a)
2010-06-06.5 | 18 | 4.27 | 5.14 | 6.4 | R | French et al. (2011a)
2010-06-13.5 | 37 | 4.22 | 5.14 | 5.2 | R | French et al. (2011a)
2010-06-20.5 | 13 | 4.18 | 5.15 | 3.9 | R | French et al. (2011a)
2010-06-25.3 | 55 | 4.16 | 5.15 | 3.0 | R | French et al. (2011a)
2010-06-26.3 | 75 | 4.16 | 5.15 | 2.8 | R | French et al. (2011a)
2010-07-03.3 | 50 | 4.15 | 5.15 | 1.6 | R | French et al. (2011a)
2010-07-17.4 | 31 | 4.16 | 5.16 | 2.4 | R | French et al. (2011a)
2010-07-31.3 | 40 | 4.24 | 5.17 | 4.9 | R | French et al. (2011a)
2010-08-07.3 | 27 | 4.29 | 5.17 | 6.2 | R | French et al. (2011a)
2010-09-05.2 | 31 | 4.64 | 5.19 | 9.9 | R | French et al. (2011a)
2010-09-06.2 | 30 | 4.65 | 5.19 | 10.0 | R | French et al. (2011a)
2013-07-29.4 | 69 | 5.24 | 5.53 | 10.4 | V | Stephens et al. (2014b)
2013-07-30.4 | 78 | 5.23 | 5.53 | 10.3 | V | Stephens et al. (2014b)
2013-07-31.4 | 47 | 5.21 | 5.53 | 10.3 | V | Stephens et al. (2014b)
2013-08-01.4 | 64 | 5.20 | 5.53 | 10.3 | V | Stephens et al. (2014b)
2013-08-02.4 | 67 | 5.18 | 5.53 | 10.2 | V | Stephens et al. (2014b)
2013-08-03.4 | 83 | 5.17 | 5.53 | 10.2 | V | Stephens et al. (2014b)
2014-10-08.5 | 30 | 4.69 | 5.49 | 6.7 | V | Stephens et al. (2015)
2014-10-10.4 | 81 | 4.67 | 5.49 | 6.4 | V | Stephens et al. (2015)
2014-10-11.4 | 113 | 4.66 | 5.49 | 6.3 | V | Stephens et al. (2015)
2014-10-12.4 | 103 | 4.65 | 5.49 | 6.1 | V | Stephens et al. (2015)
2014-10-13.4 | 108 | 4.65 | 5.49 | 6.0 | V | Stephens et al. (2015)
2014-10-14.4 | 109 | 4.64 | 5.49 | 5.8 | V | Stephens et al. (2015)
2014-10-16.4 | 96 | 4.62 | 5.49 | 5.5 | V | Stephens et al. (2015)
2014-10-17.3 | 53 | 4.61 | 5.49 | 5.4 | V | Stephens et al. (2015)
2014-10-19.4 | 94 | 4.60 | 5.49 | 5.0 | V | Stephens et al. (2015)
2014-10-20.4 | 110 | 4.59 | 5.49 | 4.9 | V | Stephens et al. (2015)
2014-10-21.4 | 25 | 4.59 | 5.49 | 4.7 | V | Stephens et al. (2015)
2014-10-22.3 | 72 | 4.58 | 5.49 | 4.6 | V | Stephens et al. (2015)
2016-12-03.4 | 59 | 4.40 | 5.18 | 7.3 | V | Stephens (2017)
2016-12-04.4 | 78 | 4.39 | 5.18 | 7.2 | V | Stephens (2017)
2016-12-06.4 | 37 | 4.37 | 5.18 | 6.8 | V | Stephens (2017)
2016-12-08.4 | 51 | 4.35 | 5.18 | 6.5 | V | Stephens (2017)
2017-12-18.5 | 48 | 4.47 | 4.99 | 10.1 | V | Stephens & Warner (2018b)
2017-12-19.5 | 53 | 4.45 | 4.99 | 10.0 | V | Stephens & Warner (2018b)
2017-12-20.5 | 48 | 4.44 | 4.99 | 9.9 | V | Stephens & Warner (2018b)
2017-12-21.5 | 51 | 4.43 | 4.99 | 9.8 | V | Stephens & Warner (2018b)
2017-12-22.4 | 48 | 4.41 | 4.99 | 9.7 | V | Stephens & Warner (2018b)
(2797) Teucer
1988-01-23.2 | 6 | 4.37 | 4.83 | 10.8 | B | Binzel & Sauter (1992)
1988-01-25.2 | 8 | 4.40 | 4.83 | 11.0 | B | Binzel & Sauter (1992)
2010-09-11.5 | 28 | 4.51 | 4.91 | 11.3 | R | French et al. (2011a)
2010-10-09.4 | 198 | 4.14 | 4.89 | 8.3 | R | French et al. (2011a)
2010-10-10.4 | 189 | 4.12 | 4.89 | 8.2 | R | French et al. (2011a)
2010-10-11.4 | 121 | 4.11 | 4.89 | 8.0 | R | French et al. (2011a)
2014-03-15.4 | 202 | 3.92 | 4.82 | 5.4 | V | Stephens et al. (2014a)
2014-03-16.4 | 173 | 3.92 | 4.83 | 5.4 | V | Stephens et al. (2014a)
2015-04-03.4 | 80 | 4.18 | 5.07 | 5.6 | V | Stephens et al. (2016c)
2015-04-04.4 | 86 | 4.17 | 5.07 | 5.4 | V | Stephens et al. (2016c)
2015-04-05.4 | 54 | 4.17 | 5.07 | 5.3 | V | Stephens et al. (2016c)
(2893) Peiroos
2015-11-09.4 | 23 | 4.80 | 5.52 | 7.5 | V | Stephens et al. (2016a)
2015-11-10.4 | 35 | 4.78 | 5.53 | 7.3 | V | Stephens et al. (2016a)
2015-11-11.4 | 32 | 4.77 | 5.53 | 7.2 | V | Stephens et al. (2016a)
2016-12-12.4 | 10 | 4.73 | 5.53 | 6.4 | V | Stephens (2017)
2016-12-14.3 | 33 | 4.71 | 5.53 | 6.1 | V | Stephens (2017)
2016-12-14.5 | 8 | 4.71 | 5.53 | 6.1 | V | Stephens (2017)
2016-12-20.3 | 79 | 4.66 | 5.53 | 5.1 | V | Stephens (2017)
2016-12-20.5 | 58 | 4.66 | 5.53 | 5.1 | V | Stephens (2017)
2016-12-25.4 | 17 | 4.62 | 5.53 | 4.2 | V | Stephens (2017)
2016-12-25.5 | 43 | 4.62 | 5.53 | 4.2 | V | Stephens (2017)
2016-12-28.3 | 40 | 4.60 | 5.53 | 3.7 | V | Stephens (2017)
2016-12-28.5 | 35 | 4.60 | 5.53 | 3.7 | V | Stephens (2017)
2017-12-26.4 | 68 | 4.81 | 5.43 | 8.5 | V | Stephens & Warner (2018b)
2017-12-27.5 | 61 | 4.80 | 5.43 | 8.4 | V | Stephens & Warner (2018b)
2017-12-28.4 | 64 | 4.78 | 5.43 | 8.3 | V | Stephens & Warner (2018b)
2020-04-18.3 | 116 | 4.02 | 4.99 | 3.6 | SR | Stephens & Warner (2020b)
2020-04-19.3 | 124 | 4.02 | 4.99 | 3.6 | SR | Stephens & Warner (2020b)
2020-04-21.3 | 107 | 4.02 | 4.99 | 3.6 | SR | Stephens & Warner (2020b)
2020-04-22.3 | 130 | 4.02 | 4.98 | 3.6 | SR | Stephens & Warner (2020b)
(2895) Memnon
1990-11-19.4 | 14 | 4.11 | 4.96 | 6.5 | B | Binzel & Sauter (1992)
2015-01-03.3 | 88 | 4.18 | 5.00 | 6.9 | V | Stephens et al. (2015)
2015-01-04.2 | 75 | 4.19 | 5.00 | 7.0 | V | Stephens et al. (2015)
2015-01-05.2 | 57 | 4.20 | 5.00 | 7.1 | V | Stephens et al. (2015)
2016-01-16.2 | 21 | 4.13 | 5.10 | 2.5 | V | Stephens et al. (2016a)
2016-01-16.4 | 14 | 4.13 | 5.10 | 2.5 | V | Stephens et al. (2016a)
2016-01-17.4 | 19 | 4.14 | 5.10 | 2.6 | V | Stephens et al. (2016a)
2016-01-19.2 | 28 | 4.14 | 5.10 | 2.7 | V | Stephens et al. (2016a)
2016-01-19.4 | 30 | 4.14 | 5.10 | 2.7 | V | Stephens et al. (2016a)
2016-01-26.2 | 20 | 4.16 | 5.10 | 3.5 | V | Stephens et al. (2016a)
2016-01-26.4 | 23 | 4.16 | 5.10 | 3.6 | V | Stephens et al. (2016a)
2017-01-29.4 | 54 | 4.28 | 5.23 | 3.0 | V | Stephens & Coley (2017)
2017-01-30.4 | 58 | 4.28 | 5.23 | 2.8 | V | Stephens & Coley (2017)
2017-01-31.4 | 62 | 4.27 | 5.23 | 2.6 | V | Stephens & Coley (2017)
2017-02-01.3 | 42 | 4.27 | 5.24 | 2.4 | V | Stephens & Coley (2017)
2018-04-13.2 | 24 | 4.58 | 5.39 | 6.9 | V | Stephens & Warner (2018c)
2018-04-13.3 | 15 | 4.58 | 5.39 | 6.9 | V | Stephens & Warner (2018c)
2018-04-14.2 | 19 | 4.59 | 5.39 | 7.1 | V | Stephens & Warner (2018c)
2018-04-14.3 | 22 | 4.59 | 5.39 | 7.1 | V | Stephens & Warner (2018c)
2018-04-15.2 | 26 | 4.60 | 5.39 | 7.2 | V | Stephens & Warner (2018c)
2018-04-15.3 | 17 | 4.60 | 5.39 | 7.2 | V | Stephens & Warner (2018c)
2020-05-15.3 | 59 | 4.61 | 5.50 | 5.7 | SR | Stephens & Warner (2020b)
2020-05-16.3 | 84 | 4.61 | 5.50 | 5.6 | SR | Stephens & Warner (2020b)
2020-05-17.3 | 67 | 4.61 | 5.50 | 5.6 | SR | Stephens & Warner (2020b)
(2920) Automedon
2017-06-04.4 | 89 | 4.26 | 5.24 | 3.3 | V | Stephens & Warner (2017)
2017-06-05.4 | 57 | 4.26 | 5.24 | 3.2 | V | Stephens & Warner (2017)
2017-06-11.4 | 43 | 4.25 | 5.24 | 2.8 | V | Stephens & Warner (2017)
2017-06-12.3 | 45 | 4.25 | 5.24 | 2.8 | V | Stephens & Warner (2017)
2017-06-13.3 | 63 | 4.25 | 5.24 | 2.7 | V | Stephens & Warner (2017)
2017-06-14.4 | 67 | 4.25 | 5.24 | 2.7 | V | Stephens & Warner (2017)
2018-09-24.2 | 17 | 4.78 | 5.18 | 10.6 | V | Stephens & Warner (2019a)
2018-09-25.2 | 25 | 4.79 | 5.18 | 10.6 | V | Stephens & Warner (2019a)
2018-09-26.2 | 13 | 4.81 | 5.18 | 10.7 | V | Stephens & Warner (2019a)
2018-09-27.2 | 19 | 4.82 | 5.18 | 10.7 | V | Stephens & Warner (2019a)
2018-09-28.1 | 14 | 4.83 | 5.18 | 10.8 | V | Stephens & Warner (2019a)
2018-09-29.2 | 11 | 4.85 | 5.18 | 10.8 | V | Stephens & Warner (2019a)
2018-09-30.2 | 23 | 4.86 | 5.18 | 10.8 | V | Stephens & Warner (2019a)
2019-08-17.2 | 13 | 4.20 | 5.12 | 5.2 | V | Stephens & Warner (2020a)
2019-08-19.2 | 37 | 4.20 | 5.12 | 5.1 | V | Stephens & Warner (2020a)
2019-08-20.2 | 57 | 4.20 | 5.12 | 5.0 | V | Stephens & Warner (2020a)
2019-08-20.4 | 55 | 4.20 | 5.12 | 5.0 | V | Stephens & Warner (2020a)
2019-08-21.2 | 52 | 4.19 | 5.12 | 5.0 | V | Stephens & Warner (2020a)
2019-08-21.4 | 53 | 4.19 | 5.12 | 5.0 | V | Stephens & Warner (2020a)
(3391) Sinon
2013-02-21.2 | 37 | 4.07 | 5.04 | 2.5 | R | French et al. (2013)
2013-02-21.4 | 27 | 4.07 | 5.04 | 2.6 | R | French et al. (2013)
2013-02-27.3 | 40 | 4.10 | 5.04 | 3.7 | V | French et al. (2013)
2013-02-28.3 | 51 | 4.10 | 5.04 | 3.9 | R | French et al. (2013)
2013-03-01.3 | 53 | 4.11 | 5.04 | 4.1 | R | French et al. (2013)
(3451) Mentor
2010-08-07.4 | 95 | 3.79 | 4.74 | 4.9 | R | French et al. (2011a)
2010-08-08.3 | 243 | 3.79 | 4.74 | 4.9 | R | French et al. (2011a)
2010-09-11.2 | 161 | 3.97 | 4.74 | 8.5 | R | French et al. (2011a)
2010-09-12.3 | 93 | 3.98 | 4.74 | 8.7 | R | French et al. (2011a)
2010-09-13.2 | 42 | 3.99 | 4.74 | 8.8 | R | French et al. (2011a)
2010-09-14.3 | 50 | 4.00 | 4.74 | 8.9 | R | French et al. (2011a)
2010-09-15.2 | 98 | 4.01 | 4.74 | 9.0 | R | French et al. (2011a)
2010-09-16.2 | 95 | 4.02 | 4.74 | 9.2 | R | French et al. (2011a)
2010-09-17.2 | 92 | 4.03 | 4.74 | 9.3 | R | French et al. (2011a)
2015-12-23.4 | 53 | 4.73 | 5.48 | 7.2 | V | Stephens et al. (2016a)
2015-12-24.4 | 34 | 4.72 | 5.48 | 7.1 | V | Stephens et al. (2016a)
2015-12-26.4 | 57 | 4.71 | 5.48 | 6.9 | V | Stephens et al. (2016a)
2015-12-31.4 | 44 | 4.67 | 5.48 | 6.3 | V | Stephens et al. (2016a)
2016-01-01.4 | 70 | 4.66 | 5.48 | 6.2 | V | Stephens et al. (2016a)
2017-01-29.3 | 21 | 4.60 | 5.47 | 5.3 | V | Stephens & Coley (2017)
2017-01-29.5 | 30 | 4.60 | 5.47 | 5.3 | V | Stephens & Coley (2017)
2017-01-30.3 | 33 | 4.59 | 5.47 | 5.1 | V | Stephens & Coley (2017)
2017-01-30.5 | 21 | 4.59 | 5.47 | 5.1 | V | Stephens & Coley (2017)
2017-01-31.3 | 22 | 4.59 | 5.47 | 5.0 | V | Stephens & Coley (2017)
2017-01-31.5 | 33 | 4.59 | 5.47 | 5.0 | V | Stephens & Coley (2017)
2017-02-01.3 | 31 | 4.58 | 5.47 | 4.8 | V | Stephens & Coley (2017)
2017-02-01.4 | 25 | 4.58 | 5.47 | 4.8 | V | Stephens & Coley (2017)
2019-04-20.5 | 16 | 4.19 | 5.16 | 3.1 | V | Stephens & Warner (2019c)
2019-05-02.3 | 126 | 4.20 | 5.16 | 3.9 | V | Stephens & Warner (2019c)
2019-05-03.3 | 123 | 4.21 | 5.16 | 4.1 | V | Stephens & Warner (2019c)
2019-05-04.4 | 33 | 4.21 | 5.16 | 4.2 | V | Stephens & Warner (2019c)
2019-05-05.4 | 22 | 4.21 | 5.16 | 4.4 | V | Stephens & Warner (2019c)
2019-05-06.4 | 54 | 4.22 | 5.16 | 4.5 | V | Stephens & Warner (2019c)
2020-04-23.4 | 83 | 4.21 | 4.97 | 8.2 | SR | Stephens & Warner (2020b)
2020-04-24.4 | 63 | 4.20 | 4.97 | 8.0 | SR | Stephens & Warner (2020b)
2020-04-25.4 | 80 | 4.19 | 4.97 | 7.9 | SR | Stephens & Warner (2020b)
2020-04-26.4 | 83 | 4.18 | 4.97 | 7.8 | SR | Stephens & Warner (2020b)
2020-04-28.4 | 90 | 4.16 | 4.97 | 7.6 | SR | Stephens & Warner (2020b)
(3564) Talthybius
2009-10-17.4 | 82 | 4.42 | 5.42 | 0.3 | R | Stephens (2010)
2009-10-18.3 | 123 | 4.42 | 5.42 | 0.1 | R | Stephens (2010)
2009-10-24.3 | 130 | 4.43 | 5.42 | 1.2 | R | Stephens (2010)
2009-10-25.3 | 114 | 4.43 | 5.42 | 1.4 | R | Stephens (2010)
2009-11-07.2 | 132 | 4.49 | 5.42 | 4.0 | R | Stephens (2010)
2009-11-21.2 | 64 | 4.60 | 5.42 | 6.4 | R | Stephens (2010)
2009-11-22.2 | 165 | 4.61 | 5.42 | 6.6 | R | Stephens (2010)
2015-02-14.4 | 68 | 4.31 | 5.05 | 8.0 | V | Stephens et al. (2016c)
2015-02-15.4 | 66 | 4.30 | 5.05 | 7.9 | V | Stephens et al. (2016c)
2015-02-16.5 | 77 | 4.29 | 5.05 | 7.7 | V | Stephens et al. (2016c)
2015-02-17.5 | 70 | 4.28 | 5.05 | 7.6 | V | Stephens et al. (2016c)
2015-02-18.4 | 68 | 4.27 | 5.05 | 7.4 | V | Stephens et al. (2016c)
2015-02-19.4 | 70 | 4.26 | 5.05 | 7.2 | V | Stephens et al. (2016c)
2015-02-20.4 | 21 | 4.25 | 5.05 | 7.1 | V | Stephens et al. (2016c)
2015-02-25.4 | 81 | 4.20 | 5.05 | 6.2 | V | Stephens et al. (2016c)
2015-02-26.5 | 25 | 4.19 | 5.05 | 6.0 | V | Stephens et al. (2016c)
2015-02-27.4 | 72 | 4.18 | 5.05 | 5.9 | V | Stephens et al. (2016c)
(3709) Polypoites
2010-10-30.4 | 84 | 4.02 | 4.95 | 4.7 | R | French et al. (2011a)
2010-10-31.4 | 144 | 4.02 | 4.95 | 4.6 | R | French et al. (2011a)
2015-04-06.3 | 75 | 4.39 | 5.38 | 0.7 | V | Stephens et al. (2016c)
2015-04-07.3 | 79 | 4.39 | 5.38 | 0.9 | V | Stephens et al. (2016c)
2015-04-08.3 | 64 | 4.39 | 5.38 | 1.1 | V | Stephens et al. (2016c)
2015-04-09.3 | 76 | 4.39 | 5.38 | 1.3 | V | Stephens et al. (2016c)
2015-04-10.3 | 97 | 4.39 | 5.39 | 1.5 | V | Stephens et al. (2016c)
2016-04-17.3 | 36 | 4.56 | 5.51 | 3.8 | V | Stephens et al. (2016b)
2016-04-17.4 | 31 | 4.56 | 5.51 | 3.8 | V | Stephens et al. (2016b)
2016-04-18.3 | 36 | 4.55 | 5.51 | 3.6 | V | Stephens et al. (2016b)
2016-04-18.4 | 21 | 4.55 | 5.51 | 3.6 | V | Stephens et al. (2016b)
2016-04-19.3 | 35 | 4.55 | 5.51 | 3.5 | V | Stephens et al. (2016b)
2016-04-19.4 | 20 | 4.55 | 5.51 | 3.5 | V | Stephens et al. (2016b)
2016-04-20.4 | 16 | 4.55 | 5.51 | 3.4 | V | Stephens et al. (2016b)
2016-04-20.4 | 7 | 4.55 | 5.51 | 3.4 | V | Stephens et al. (2016b)
2016-04-26.3 | 22 | 4.53 | 5.51 | 2.8 | V | Stephens et al. (2016b)
2016-04-26.4 | 32 | 4.53 | 5.51 | 2.7 | V | Stephens et al. (2016b)
2016-04-27.3 | 36 | 4.53 | 5.51 | 2.7 | V | Stephens et al. (2016b)
2016-04-29.3 | 23 | 4.53 | 5.51 | 2.6 | V | Stephens et al. (2016b)
2016-04-29.4 | 32 | 4.53 | 5.51 | 2.6 | V | Stephens et al. (2016b)
2016-04-30.3 | 24 | 4.53 | 5.51 | 2.6 | V | Stephens et al. (2016b)
2016-04-30.4 | 32 | 4.53 | 5.51 | 2.6 | V | Stephens et al. (2016b)
2017-06-19.3 | 36 | 4.64 | 5.56 | 5.0 | V | Stephens & Warner (2017)
2017-06-20.3 | 39 | 4.65 | 5.56 | 5.1 | V | Stephens & Warner (2017)
2017-06-21.3 | 27 | 4.65 | 5.56 | 5.2 | V | Stephens & Warner (2017)
2017-06-22.3 | 45 | 4.66 | 5.56 | 5.3 | V | Stephens & Warner (2017)
2017-06-23.3 | 41 | 4.66 | 5.56 | 5.4 | V | Stephens & Warner (2017)
2018-08-05.3 | 33 | 4.70 | 5.51 | 6.9 | V | Stephens & Warner (2019a)
2018-08-06.3 | 44 | 4.70 | 5.51 | 7.0 | V | Stephens & Warner (2019a)
2018-08-07.3 | 26 | 4.71 | 5.51 | 7.1 | V | Stephens & Warner (2019a)
2018-08-08.2 | 22 | 4.72 | 5.51 | 7.2 | V | Stephens & Warner (2019a)
2018-08-09.2 | 42 | 4.73 | 5.51 | 7.3 | V | Stephens & Warner (2019a)
2018-08-10.2 | 35 | 4.74 | 5.51 | 7.4 | V | Stephens & Warner (2019a)
2019-08-10.2 | 28 | 4.42 | 5.39 | 3.7 | V | Stephens & Warner (2020a)
2019-08-10.4 | 51 | 4.42 | 5.39 | 3.7 | V | Stephens & Warner (2020a)
2019-08-11.2 | 14 | 4.42 | 5.39 | 3.7 | V | Stephens & Warner (2020a)
2019-08-11.4 | 24 | 4.43 | 5.39 | 3.7 | V | Stephens & Warner (2020a)
2019-08-12.2 | 32 | 4.43 | 5.39 | 3.8 | V | Stephens & Warner (2020a)
2019-08-12.3 | 31 | 4.43 | 5.39 | 3.8 | V | Stephens & Warner (2020a)
2019-08-13.2 | 13 | 4.43 | 5.39 | 3.8 | V | Stephens & Warner (2020a)
2019-08-13.4 | 15 | 4.43 | 5.39 | 3.8 | V | Stephens & Warner (2020a)
(4063) Euforbo
2010-11-01.4 | 82 | 3.79 | 4.55 | 8.7 | R | Brinsfield (2011)
2010-11-02.4 | 90 | 3.78 | 4.55 | 8.6 | R | Brinsfield (2011)
2010-11-03.4 | 78 | 3.77 | 4.55 | 8.4 | R | Brinsfield (2011)
2010-11-05.4 | 82 | 3.75 | 4.55 | 8.1 | R | Brinsfield (2011)
2010-11-09.4 | 95 | 3.72 | 4.55 | 7.4 | R | Brinsfield (2011)
2010-11-10.4 | 92 | 3.71 | 4.55 | 7.2 | R | Brinsfield (2011)
2015-05-24.2 | 13 | 4.81 | 5.67 | 5.9 | V | Stephens et al. (2016c)
2015-05-24.3 | 22 | 4.81 | 5.67 | 5.9 | V | Stephens et al. (2016c)
2015-05-25.2 | 15 | 4.82 | 5.67 | 6.0 | V | Stephens et al. (2016c)
2015-05-25.4 | 29 | 4.82 | 5.67 | 6.1 | V | Stephens et al. (2016c)
2015-05-26.2 | 20 | 4.82 | 5.67 | 6.2 | V | Stephens et al. (2016c)
2015-05-26.3 | 31 | 4.82 | 5.67 | 6.2 | V | Stephens et al. (2016c)
2016-05-02.4 | 38 | 4.89 | 5.78 | 5.1 | V | Stephens et al. (2016b)
2016-05-03.4 | 59 | 4.89 | 5.78 | 5.0 | V | Stephens et al. (2016b)
2016-05-04.4 | 58 | 4.88 | 5.78 | 4.9 | V | Stephens et al. (2016b)
(4068) Menestheus
2013-01-05.3 | 105 | 3.87 | 4.79 | 4.6 | V | French et al. (2013)
2013-01-09.3 | 70 | 3.86 | 4.79 | 4.2 | V | French et al. (2013)
2013-01-13.2 | 21 | 3.86 | 4.79 | 4.0 | V | French et al. (2013)
2013-01-17.3 | 29 | 3.85 | 4.79 | 4.0 | V | French et al. (2013)
2013-01-17.4 | 44 | 3.85 | 4.79 | 4.0 | V | French et al. (2013)
2013-01-18.2 | 60 | 3.85 | 4.79 | 4.0 | V | French et al. (2013)
2013-01-18.4 | 53 | 3.85 | 4.79 | 4.0 | V | French et al. (2013)
2015-05-03.2 | 16 | 4.08 | 4.94 | 6.7 | V | Stephens et al. (2016c)
2015-05-03.3 | 11 | 4.08 | 4.94 | 6.8 | V | Stephens et al. (2016c)
2015-05-04.2 | 13 | 4.09 | 4.94 | 6.9 | V | Stephens et al. (2016c)
2015-05-04.3 | 9 | 4.09 | 4.94 | 6.9 | V | Stephens et al. (2016c)
2015-05-05.2 | 20 | 4.10 | 4.94 | 7.1 | V | Stephens et al. (2016c)
2015-05-05.3 | 29 | 4.10 | 4.94 | 7.1 | V | Stephens et al. (2016c)
2015-05-06.3 | 5 | 4.11 | 4.94 | 7.3 | V | Stephens et al. (2016c)
2016-04-17.4 | 62 | 4.21 | 5.13 | 5.0 | V | Stephens et al. (2016b)
2016-04-18.4 | 67 | 4.20 | 5.13 | 4.8 | V | Stephens et al. (2016b)
2016-04-19.4 | 48 | 4.20 | 5.13 | 4.7 | V | Stephens et al. (2016b)
2016-04-20.4 | 28 | 4.19 | 5.13 | 4.5 | V | Stephens et al. (2016b)
2017-07-01.3 | 33 | 4.45 | 5.35 | 5.5 | V | Stephens & Warner (2017)
2017-07-02.3 | 47 | 4.46 | 5.35 | 5.6 | V | Stephens & Warner (2017)
2017-07-03.3 | 32 | 4.46 | 5.35 | 5.8 | V | Stephens & Warner (2017)
2017-07-04.3 | 47 | 4.47 | 5.35 | 5.9 | V | Stephens & Warner (2017)
2019-08-30.2 | 17 | 4.57 | 5.52 | 3.9 | V | This work (R. Stephens)
2019-08-30.3 | 47 | 4.57 | 5.52 | 3.9 | V | This work (R. Stephens)
2019-08-31.2 | 45 | 4.57 | 5.52 | 4.0 | V | This work (R. Stephens)
2019-08-31.3 | 19 | 4.57 | 5.52 | 4.0 | V | This work (R. Stephens)
2019-09-01.2 | 38 | 4.58 | 5.52 | 4.2 | V | This work (R. Stephens)
2019-09-01.3 | 47 | 4.58 | 5.52 | 4.2 | V | This work (R. Stephens)
2019-09-02.2 | 30 | 4.58 | 5.52 | 4.3 | V | This work (R. Stephens)
2019-09-06.2 | 29 | 4.61 | 5.52 | 4.9 | V | This work (R. Stephens)
2019-09-06.3 | 38 | 4.61 | 5.52 | 4.9 | V | This work (R. Stephens)
(4086) Podalirius
2008-10-25.3 | 96 | 3.75 | 4.68 | 4.8 | R | Stephens (2009)
2008-10-26.3 | 95 | 3.75 | 4.68 | 4.9 | R | Stephens (2009)
2008-11-08.2 | 67 | 3.83 | 4.67 | 7.0 | R | Stephens (2009)
(4348) Poulydamas
2015-01-04.2 | 40 | 4.08 | 4.91 | 6.8 | V | Stephens et al. (2015)
2015-01-04.3 | 60 | 4.08 | 4.91 | 6.8 | V | Stephens et al. (2015)
2015-01-05.1 | 46 | 4.09 | 4.91 | 7.0 | V | Stephens et al. (2015)
2015-01-05.3 | 39 | 4.09 | 4.91 | 7.0 | V | Stephens et al. (2015)
2015-01-06.1 | 40 | 4.10 | 4.91 | 7.1 | V | Stephens et al. (2015)
2015-01-06.3 | 34 | 4.10 | 4.91 | 7.2 | V | Stephens et al. (2015)
2016-01-29.2 | 20 | 4.27 | 5.18 | 4.7 | V | Stephens et al. (2016a)
2016-01-30.3 | 12 | 4.28 | 5.18 | 4.9 | V | Stephens et al. (2016a)
2016-01-31.3 | 15 | 4.29 | 5.18 | 5.1 | V | Stephens et al. (2016a)
2016-02-02.3 | 54 | 4.30 | 5.18 | 5.4 | V | Stephens et al. (2016a)
2016-02-03.3 | 45 | 4.31 | 5.18 | 5.6 | V | Stephens et al. (2016a)
2017-02-05.3 | 60 | 4.47 | 5.44 | 1.8 | V | Stephens & Coley (2017)
2017-02-08.2 | 6 | 4.47 | 5.44 | 1.7 | V | Stephens & Coley (2017)
2017-02-15.3 | 59 | 4.48 | 5.45 | 2.3 | V | Stephens & Coley (2017)
2017-02-16.2 | 51 | 4.48 | 5.45 | 2.4 | V | Stephens & Coley (2017)
2018-04-04.3 | 19 | 4.78 | 5.66 | 5.1 | V | Stephens & Warner (2018c)
2018-04-05.2 | 6 | 4.78 | 5.66 | 5.3 | V | Stephens & Warner (2018c)
2018-04-05.3 | 5 | 4.78 | 5.66 | 5.3 | V | Stephens & Warner (2018c)
2018-04-08.2 | 16 | 4.81 | 5.66 | 5.7 | V | Stephens & Warner (2018c)
2018-04-10.2 | 15 | 4.83 | 5.66 | 6.0 | V | Stephens & Warner (2018c)
2018-04-10.3 | 10 | 4.83 | 5.66 | 6.0 | V | Stephens & Warner (2018c)
2018-04-11.2 | 16 | 4.84 | 5.67 | 6.2 | V | Stephens & Warner (2018c)
2018-04-11.3 | 11 | 4.84 | 5.67 | 6.2 | V | Stephens & Warner (2018c)
(4489) 1998 AK
2010-09-04.5 | 18 | 4.60 | 5.07 | 10.6 | R | French et al. (2011a)
2010-09-05.5 | 19 | 4.59 | 5.07 | 10.5 | R | French et al. (2011a)
2010-09-06.5 | 22 | 4.57 | 5.07 | 10.4 | R | French et al. (2011a)
2010-09-11.5 | 29 | 4.51 | 5.07 | 10.0 | R | French et al. (2011a)
2010-09-12.5 | 18 | 4.49 | 5.07 | 9.9 | R | French et al. (2011a)
2015-02-14.4 | 65 | 4.50 | 5.19 | 8.4 | V | Stephens et al. (2016c)
2015-02-15.4 | 60 | 4.49 | 5.19 | 8.3 | V | Stephens et al. (2016c)
2015-02-16.4 | 53 | 4.48 | 5.19 | 8.2 | V | Stephens et al. (2016c)
2015-02-17.5 | 55 | 4.47 | 5.19 | 8.0 | V | Stephens et al. (2016c)
2015-02-18.4 | 41 | 4.46 | 5.19 | 7.9 | V | Stephens et al. (2016c)
2015-02-25.4 | 76 | 4.40 | 5.19 | 7.2 | V | Stephens et al. (2016c)
2015-02-27.4 | 58 | 4.39 | 5.19 | 6.9 | V | Stephens et al. (2016c)
2015-03-04.5 | 29 | 4.36 | 5.19 | 6.4 | V | Stephens et al. (2016c)
2015-03-05.3 | 53 | 4.35 | 5.19 | 6.3 | V | Stephens et al. (2016c)
2015-03-09.4 | 50 | 4.33 | 5.20 | 5.9 | V | Stephens et al. (2016c)
2015-03-10.3 | 69 | 4.33 | 5.20 | 5.8 | V | Stephens et al. (2016c)
2015-03-13.4 | 80 | 4.32 | 5.20 | 5.5 | V | Stephens et al. (2016c)
2015-03-14.4 | 68 | 4.31 | 5.20 | 5.4 | V | Stephens et al. (2016c)
2015-03-15.4 | 95 | 4.31 | 5.20 | 5.4 | V | Stephens et al. (2016c)
2015-03-16.3 | 74 | 4.31 | 5.20 | 5.3 | V | Stephens et al. (2016c)
2015-03-17.3 | 77 | 4.30 | 5.20 | 5.3 | V | Stephens et al. (2016c)
2016-04-14.4 | 54 | 4.44 | 5.36 | 4.7 | V | Stephens et al. (2016b)
2016-04-15.4 | 48 | 4.44 | 5.36 | 4.6 | V | Stephens et al. (2016b)
2016-04-16.4 | 59 | 4.44 | 5.36 | 4.5 | V | Stephens et al. (2016b)
2016-04-17.3 | 29 | 4.43 | 5.36 | 4.4 | V | Stephens et al. (2016b)
2016-04-18.4 | 50 | 4.43 | 5.37 | 4.3 | V | Stephens et al. (2016b)
2016-04-27.4 | 45 | 4.42 | 5.37 | 3.8 | V | Stephens et al. (2016b)
2016-05-02.3 | 51 | 4.42 | 5.37 | 3.9 | V | Stephens et al. (2016b)
2016-05-03.4 | 49 | 4.42 | 5.37 | 3.9 | V | Stephens et al. (2016b)
2016-05-04.3 | 59 | 4.42 | 5.37 | 3.9 | V | Stephens et al. (2016b)
(4707) Khryses
2013-09-25.4 | 62 | 3.88 | 4.59 | 9.7 | V | Stephens et al. (2014b)
2013-09-26.4 | 63 | 3.87 | 4.59 | 9.5 | V | Stephens et al. (2014b)
2014-10-24.4 | 35 | 4.30 | 4.85 | 10.4 | V | Stephens et al. (2015)
2014-10-24.5 | 10 | 4.30 | 4.85 | 10.4 | V | Stephens et al. (2015)
2014-10-25.3 | 27 | 4.29 | 4.85 | 10.3 | V | Stephens et al. (2015)
2014-10-25.5 | 9 | 4.29 | 4.85 | 10.3 | V | Stephens et al. (2015)
2014-10-26.5 | 11 | 4.28 | 4.85 | 10.2 | V | Stephens et al. (2015)
2014-10-26.5 | 5 | 4.28 | 4.85 | 10.2 | V | Stephens et al. (2015)
2017-02-23.2 | 11 | 4.60 | 5.59 | 0.9 | V | Stephens & Coley (2017)
2017-02-24.3 | 28 | 4.60 | 5.59 | 1.0 | V | Stephens & Coley (2017)
2017-02-25.3 | 37 | 4.61 | 5.59 | 1.2 | V | Stephens & Coley (2017)
2017-03-01.3 | 43 | 4.62 | 5.59 | 2.0 | V | Stephens & Coley (2017)
(4709) Ennomos
2011-09-04.2 | 62 | 4.22 | 5.10 | 6.1 | R | French et al. (2012)
2011-09-04.4 | 38 | 4.22 | 5.10 | 6.0 | R | French et al. (2012)
2011-09-24.4 | 123 | 4.24 | 5.11 | 6.3 | R | French et al. (2012)
2011-09-24.4 | 125 | 4.24 | 5.11 | 6.3 | R | French et al. (2012)
2015-02-02.2 | 19 | 4.60 | 5.28 | 8.4 | V | Stephens et al. (2016c)
2015-02-03.2 | 24 | 4.62 | 5.28 | 8.5 | V | Stephens et al. (2016c)
2015-02-04.2 | 50 | 4.63 | 5.28 | 8.6 | V | Stephens et al. (2016c)
2015-02-05.2 | 66 | 4.64 | 5.28 | 8.7 | V | Stephens et al. (2016c)
2015-02-06.2 | 63 | 4.65 | 5.28 | 8.9 | V | Stephens et al. (2016c)
2015-02-07.2 | 66 | 4.67 | 5.28 | 9.0 | V | Stephens et al. (2016c)
2015-02-08.3 | 9 | 4.68 | 5.28 | 9.1 | V | Stephens et al. (2016c)
2015-02-09.2 | 62 | 4.69 | 5.28 | 9.2 | V | Stephens et al. (2016c)
2015-02-10.2 | 61 | 4.71 | 5.28 | 9.3 | V | Stephens et al. (2016c)
2015-02-11.2 | 46 | 4.72 | 5.28 | 9.4 | V | Stephens et al. (2016c)
2015-02-12.2 | 73 | 4.74 | 5.28 | 9.5 | V | Stephens et al. (2016c)
2015-02-14.2 | 65 | 4.76 | 5.28 | 9.7 | V | Stephens et al. (2016c)
2015-02-15.2 | 64 | 4.78 | 5.28 | 9.7 | V | Stephens et al. (2016c)
2015-02-16.2 | 38 | 4.79 | 5.28 | 9.8 | V | Stephens et al. (2016c)
2015-02-17.2 | 48 | 4.81 | 5.28 | 9.9 | V | Stephens et al. (2016c)
2015-02-18.2 | 57 | 4.82 | 5.28 | 10.0 | V | Stephens et al. (2016c)
2015-02-19.2 | 46 | 4.84 | 5.28 | 10.0 | V | Stephens et al. (2016c)
2015-02-20.2 | 44 | 4.85 | 5.28 | 10.1 | V | Stephens et al. (2016c)
2015-12-28.3 | 14 | 4.46 | 5.32 | 5.6 | V | Stephens et al. (2016a)
2015-12-28.5 | 17 | 4.46 | 5.32 | 5.6 | V | Stephens et al. (2016a)
2015-12-29.3 | 15 | 4.46 | 5.32 | 5.5 | V | Stephens et al. (2016a)
2015-12-29.5 | 34 | 4.46 | 5.32 | 5.5 | V | Stephens et al. (2016a)
2015-12-30.3 | 27 | 4.45 | 5.32 | 5.4 | V | Stephens et al. (2016a)
2015-12-30.5 | 38 | 4.45 | 5.32 | 5.3 | V | Stephens et al. (2016a)
2015-12-31.5 | 36 | 4.44 | 5.32 | 5.2 | V | Stephens et al. (2016a)
2016-01-01.3 | 15 | 4.44 | 5.32 | 5.1 | V | Stephens et al. (2016a)
2016-01-01.5 | 39 | 4.44 | 5.32 | 5.1 | V | Stephens et al. (2016a)
2016-01-08.3 | 33 | 4.41 | 5.32 | 4.4 | V | Stephens et al. (2016a)
2016-01-08.4 | 39 | 4.41 | 5.32 | 4.4 | V | Stephens et al. (2016a)
2016-01-12.3 | 35 | 4.41 | 5.32 | 4.2 | V | Stephens et al. (2016a)
2016-01-12.4 | 32 | 4.40 | 5.32 | 4.2 | V | Stephens et al. (2016a)
2017-01-29.4 | 19 | 4.54 | 5.35 | 6.4 | V | Stephens & Coley (2017)
2017-01-30.4 | 30 | 4.53 | 5.35 | 6.3 | V | Stephens & Coley (2017)
2017-01-31.4 | 35 | 4.53 | 5.35 | 6.3 | V | Stephens & Coley (2017)
2017-02-01.3 | 34 | 4.52 | 5.35 | 6.2 | V | Stephens & Coley (2017)
2017-02-05.3 | 37 | 4.50 | 5.35 | 5.9 | V | Stephens & Coley (2017)
2017-02-15.3 | 22 | 4.48 | 5.35 | 5.4 | V | Stephens & Coley (2017)
2017-02-16.3 | 26 | 4.48 | 5.35 | 5.4 | V | Stephens & Coley (2017)
2017-03-02.3 | 37 | 4.49 | 5.35 | 5.7 | V | Stephens & Coley (2017)
2017-03-03.2 | 27 | 4.49 | 5.35 | 5.8 | V | Stephens & Coley (2017)
(4834) Thoas
2010-10-30.4 | 101 | 3.62 | 4.53 | 5.4 | R | French et al. (2011a)
2010-10-31.4 | 186 | 3.61 | 4.53 | 5.2 | R | French et al. (2011a)
2010-11-13.3 | 130 | 3.57 | 4.53 | 3.3 | R | French et al. (2011a)
2010-11-14.3 | 179 | 3.56 | 4.53 | 3.2 | R | French et al. (2011a)
2015-04-26.4 | 37 | 4.76 | 5.66 | 5.1 | V | Stephens et al. (2016c)
2015-04-27.3 | 34 | 4.76 | 5.66 | 5.1 | V | Stephens et al. (2016c)
2015-04-28.3 | 40 | 4.77 | 5.66 | 5.2 | V | Stephens et al. (2016c)
2015-04-29.3 | 35 | 4.77 | 5.66 | 5.3 | V | Stephens et al. (2016c)
2015-04-30.3 | 32 | 4.77 | 5.66 | 5.3 | V | Stephens et al. (2016c)
2016-05-11.3 | 27 | 4.89 | 5.87 | 2.7 | V | Stephens et al. (2016b)
2016-05-11.4 | 12 | 4.89 | 5.87 | 2.7 | V | Stephens et al. (2016b)
2016-05-13.3 | 33 | 4.89 | 5.87 | 2.7 | V | Stephens et al. (2016b)
2016-05-13.4 | 34 | 4.89 | 5.87 | 2.7 | V | Stephens et al. (2016b)
2016-05-15.3 | 18 | 4.89 | 5.87 | 2.8 | V | Stephens et al. (2016b)
2016-05-15.4 | 35 | 4.89 | 5.87 | 2.8 | V | Stephens et al. (2016b)
2016-05-16.3 | 25 | 4.89 | 5.87 | 2.8 | V | Stephens et al. (2016b)
2016-05-16.4 | 29 | 4.89 | 5.87 | 2.8 | V | Stephens et al. (2016b)
2016-05-17.3 | 17 | 4.89 | 5.87 | 2.9 | V | Stephens et al. (2016b)
2016-05-17.4 | 37 | 4.89 | 5.87 | 2.9 | V | Stephens et al. (2016b)
2016-05-18.2 | 15 | 4.90 | 5.87 | 3.0 | V | Stephens et al. (2016b)
2016-05-18.4 | 34 | 4.90 | 5.87 | 3.0 | V | Stephens et al. (2016b)
(4836) Medon
2015-04-28.3 | 34 | 4.37 | 5.33 | 3.5 | V | Stephens et al. (2016c)
2015-04-28.4 | 33 | 4.37 | 5.33 | 3.4 | V | Stephens et al. (2016c)
2015-04-29.3 | 31 | 4.37 | 5.33 | 3.3 | V | Stephens et al. (2016c)
2015-04-29.4 | 30 | 4.36 | 5.33 | 3.3 | V | Stephens et al. (2016c)
2015-04-30.3 | 10 | 4.36 | 5.33 | 3.2 | V | Stephens et al. (2016c)
2015-04-30.4 | 19 | 4.36 | 5.33 | 3.2 | V | Stephens et al. (2016c)
2015-05-01.3 | 6 | 4.36 | 5.33 | 3.1 | V | Stephens et al. (2016c)
2015-05-01.4 | 12 | 4.36 | 5.33 | 3.1 | V | Stephens et al. (2016c)
2015-05-02.3 | 27 | 4.36 | 5.33 | 3.0 | V | Stephens et al. (2016c)
2015-05-02.4 | 19 | 4.36 | 5.33 | 3.0 | V | Stephens et al. (2016c)
(5027) Androgeos
2015-06-01.2 | 5 | 4.93 | 5.56 | 8.6 | V | Stephens et al. (2016c)
2015-06-01.3 | 11 | 4.93 | 5.56 | 8.6 | V | Stephens et al. (2016c)
2015-06-02.3 | 11 | 4.94 | 5.56 | 8.7 | V | Stephens et al. (2016c)
2015-06-03.2 | 6 | 4.95 | 5.56 | 8.8 | V | Stephens et al. (2016c)
2015-06-03.3 | 23 | 4.95 | 5.56 | 8.8 | V | Stephens et al. (2016c)
2015-06-04.2 | 5 | 4.96 | 5.56 | 8.9 | V | Stephens et al. (2016c)
2015-06-04.3 | 30 | 4.96 | 5.56 | 8.9 | V | Stephens et al. (2016c)
2015-06-05.3 | 22 | 4.97 | 5.57 | 9.0 | V | Stephens et al. (2016c)
2015-06-06.2 | 6 | 4.98 | 5.57 | 9.0 | V | Stephens et al. (2016c)
2015-06-06.3 | 31 | 4.98 | 5.57 | 9.0 | V | Stephens et al. (2016c)
2015-06-07.2 | 5 | 4.99 | 5.57 | 9.1 | V | Stephens et al. (2016c)
2015-06-07.3 | 29 | 4.99 | 5.57 | 9.1 | V | Stephens et al. (2016c)
2016-05-23.2 | 32 | 4.68 | 5.64 | 3.5 | V | Stephens et al. (2016b)
2016-05-23.3 | 22 | 4.68 | 5.64 | 3.5 | V | Stephens et al. (2016b)
2016-05-24.2 | 26 | 4.68 | 5.64 | 3.6 | V | Stephens et al. (2016b)
2016-05-24.3 | 17 | 4.68 | 5.64 | 3.6 | V | Stephens et al. (2016b)
2016-05-25.2 | 21 | 4.68 | 5.64 | 3.7 | V | Stephens et al. (2016b)
2016-05-25.3 | 24 | 4.68 | 5.64 | 3.7 | V | Stephens et al. (2016b)
2016-05-26.2 | 36 | 4.68 | 5.64 | 3.8 | V | Stephens et al. (2016b)
2016-05-26.3 | 32 | 4.68 | 5.64 | 3.8 | V | Stephens et al. (2016b)
2016-05-27.2 | 28 | 4.69 | 5.64 | 3.9 | V | Stephens et al. (2016b)
2016-05-27.3 | 32 | 4.69 | 5.64 | 3.9 | V | Stephens et al. (2016b)
2016-05-28.2 | 34 | 4.69 | 5.64 | 4.0 | V | Stephens et al. (2016b)
2016-05-28.3 | 33 | 4.69 | 5.64 | 4.0 | V | Stephens et al. (2016b)
(5144) Achates
2015-01-07.1 | 62 | 5.30 | 6.11 | 5.6 | V | Stephens et al. (2015)
2015-01-07.3 | 71 | 5.30 | 6.11 | 5.6 | V | Stephens et al. (2015)
2015-01-09.1 | 16 | 5.32 | 6.11 | 5.8 | V | Stephens et al. (2015)
2015-01-09.3 | 53 | 5.32 | 6.12 | 5.9 | V | Stephens et al. (2015)
2018-01-18.3 | 18 | 5.55 | 6.49 | 2.6 | V | Stephens & Warner (2018d)
2018-01-18.5 | 17 | 5.55 | 6.49 | 2.6 | V | Stephens & Warner (2018d)
2018-01-19.3 | 34 | 5.54 | 6.49 | 2.4 | V | Stephens & Warner (2018d)
2018-01-19.5 | 21 | 5.54 | 6.49 | 2.4 | V | Stephens & Warner (2018d)
2018-01-21.3 | 31 | 5.53 | 6.49 | 2.1 | V | Stephens & Warner (2018d)
2018-01-21.4 | 27 | 5.53 | 6.49 | 2.1 | V | Stephens & Warner (2018d)
2019-03-25.2 | 19 | 5.18 | 6.04 | 5.2 | V | Stephens & Warner (2019b)
2019-03-25.3 | 18 | 5.18 | 6.04 | 5.2 | V | Stephens & Warner (2019b)
2019-03-26.2 | 24 | 5.19 | 6.04 | 5.4 | V | Stephens & Warner (2019b)
2019-03-26.3 | 13 | 5.19 | 6.04 | 5.4 | V | Stephens & Warner (2019b)
2019-03-28.2 | 25 | 5.21 | 6.04 | 5.7 | V | Stephens & Warner (2019b)
2019-03-28.3 | 24 | 5.21 | 6.04 | 5.7 | V | Stephens & Warner (2019b)
2020-04-12.2 | 13 | 4.47 | 5.38 | 4.9 | SR | Stephens & Warner (2020b)
2020-04-12.3 | 5 | 4.47 | 5.38 | 4.9 | SR | Stephens & Warner (2020b)
2020-04-13.2 | 10 | 4.47 | 5.38 | 5.0 | SR | Stephens & Warner (2020b)
2020-04-13.3 | 14 | 4.47 | 5.38 | 5.1 | SR | Stephens & Warner (2020b)
2020-04-15.2 | 16 | 4.48 | 5.38 | 5.4 | SR | Stephens & Warner (2020b)
2020-04-15.3 | 21 | 4.49 | 5.38 | 5.4 | SR | Stephens & Warner (2020b)
2020-04-16.2 | 20 | 4.49 | 5.37 | 5.6 | SR | Stephens & Warner (2020b)
2020-04-16.3 | 26 | 4.49 | 5.37 | 5.6 | SR | Stephens & Warner (2020b)
2020-04-17.2 | 16 | 4.50 | 5.37 | 5.7 | SR | Stephens & Warner (2020b)
2020-04-17.3 | 32 | 4.50 | 5.37 | 5.7 | SR | Stephens & Warner (2020b)
2020-04-18.2 | 11 | 4.50 | 5.37 | 5.9 | SR | Stephens & Warner (2020b)
2020-04-18.3 | 40 | 4.50 | 5.37 | 5.9 | SR | Stephens & Warner (2020b)
(5209) 1989 CW1
2011-02-10.2 | 47 | 4.22 | 4.95 | 8.4 | SR | B.A. Skiff, Lowell Observatory
2011-02-11.2 | 53 | 4.23 | 4.95 | 8.5 | SR | B.A. Skiff, Lowell Observatory
(5244) Amphilochos
2015-05-07.2 | 14 | 4.33 | 5.26 | 4.5 | V | Stephens et al. (2016c)
2015-05-07.3 | 8 | 4.33 | 5.26 | 4.5 | V | Stephens et al. (2016c)
2015-05-09.2 | 16 | 4.34 | 5.26 | 4.9 | V | Stephens et al. (2016c)
2015-05-09.3 | 23 | 4.34 | 5.26 | 4.9 | V | Stephens et al. (2016c)
2015-05-10.2 | 13 | 4.35 | 5.26 | 5.0 | V | Stephens et al. (2016c)
2015-05-10.3 | 8 | 4.35 | 5.26 | 5.1 | V | Stephens et al. (2016c)
2015-05-11.2 | 19 | 4.35 | 5.26 | 5.2 | V | Stephens et al. (2016c)
2015-05-11.3 | 20 | 4.35 | 5.26 | 5.2 | V | Stephens et al. (2016c)
2015-05-12.2 | 13 | 4.36 | 5.26 | 5.4 | V | Stephens et al. (2016c)
2015-05-12.3 | 20 | 4.36 | 5.26 | 5.4 | V | Stephens et al. (2016c)
2015-05-13.2 | 18 | 4.37 | 5.26 | 5.6 | V | Stephens et al. (2016c)
2015-05-13.3 | 19 | 4.37 | 5.26 | 5.6 | V | Stephens et al. (2016c)
(11089) 1994 CS8
2013-09-07.4 | 28 | 4.33 | 5.29 | 3.8 | V | Stephens et al. (2014b)
2013-09-11.3 | 29 | 4.31 | 5.29 | 3.1 | V | Stephens et al. (2014b)
2013-09-11.4 | 23 | 4.31 | 5.29 | 3.0 | V | Stephens et al. (2014b)
2013-09-12.3 | 32 | 4.31 | 5.29 | 2.9 | V | Stephens et al. (2014b)
2013-09-12.4 | 29 | 4.31 | 5.29 | 2.9 | V | Stephens et al. (2014b)
2014-10-19.3 | 30 | 4.25 | 5.23 | 2.4 | V | Stephens et al. (2015)
2014-10-19.4 | 29 | 4.25 | 5.23 | 2.4 | V | Stephens et al. (2015)
2014-10-20.3 | 33 | 4.25 | 5.23 | 2.3 | V | Stephens et al. (2015)
2014-10-20.4 | 26 | 4.25 | 5.23 | 2.2 | V | Stephens et al. (2015)
2015-11-05.3 | 28 | 4.27 | 5.16 | 5.3 | V | Stephens et al. (2016a)
2015-11-06.4 | 22 | 4.27 | 5.16 | 5.1 | V | Stephens et al. (2016a)
2015-11-07.4 | 13 | 4.26 | 5.16 | 5.0 | V | Stephens et al. (2016a)
2015-11-08.3 | 28 | 4.25 | 5.16 | 4.8 | V | Stephens et al. (2016a)
2017-02-23.3 | 6 | 4.51 | 5.10 | 9.5 | V | Stephens & Coley (2017)
2017-02-24.2 | 37 | 4.52 | 5.10 | 9.6 | V | Stephens & Coley (2017)
2017-02-25.3 | 12 | 4.54 | 5.10 | 9.7 | V | Stephens & Coley (2017)
2017-03-01.3 | 17 | 4.59 | 5.10 | 10.1 | V | Stephens & Coley (2017)
2017-03-02.3 | 38 | 4.60 | 5.10 | 10.2 | V | Stephens & Coley (2017)
2017-03-03.2 | 9 | 4.62 | 5.10 | 10.3 | V | Stephens & Coley (2017)
2017-03-04.3 | 22 | 4.63 | 5.10 | 10.3 | V | Stephens & Coley (2017)
2017-03-26.3 | 5 | 4.97 | 5.10 | 11.3 | V | Stephens & Coley (2017)
(15436) 1998 VU30
2013-02-26.2 | 34 | 4.22 | 5.10 | 5.5 | V | French et al. (2013)
2013-02-26.3 | 16 | 4.22 | 5.10 | 5.5 | V | French et al. (2013)
2013-02-27.2 | 30 | 4.22 | 5.10 | 5.6 | V | French et al. (2013)
2013-02-27.3 | 25 | 4.23 | 5.10 | 5.6 | V | French et al. (2013)
2013-02-28.2 | 24 | 4.23 | 5.11 | 5.8 | V | French et al. (2013)
2013-02-28.3 | 27 | 4.23 | 5.11 | 5.8 | V | French et al. (2013)
2014-03-12.3 | 86 | 4.28 | 5.23 | 3.7 | V | This work (R. Stephens)
2014-03-14.3 | 56 | 4.28 | 5.23 | 3.7 | V | This work (R. Stephens)
2014-03-19.3 | 88 | 4.29 | 5.23 | 3.9 | V | This work (R. Stephens)
2014-03-20.3 | 86 | 4.29 | 5.23 | 4.0 | V | This work (R. Stephens)
2019-08-22.3 | 14 | 4.30 | 5.26 | 3.7 | V | Stephens & Warner (2020a)
2019-08-22.4 | 46 | 4.30 | 5.26 | 3.7 | V | Stephens & Warner (2020a)
2019-08-23.2 | 45 | 4.30 | 5.26 | 3.7 | V | Stephens & Warner (2020a)
2019-08-23.4 | 60 | 4.30 | 5.26 | 3.7 | V | Stephens & Warner (2020a)
2019-08-24.2 | 47 | 4.30 | 5.26 | 3.8 | V | Stephens & Warner (2020a)
2019-08-24.4 | 51 | 4.30 | 5.26 | 3.8 | V | Stephens & Warner (2020a)
2019-08-25.2 | 38 | 4.30 | 5.26 | 3.8 | V | Stephens & Warner (2020a)
2019-08-25.4 | 66 | 4.30 | 5.26 | 3.8 | V | Stephens & Warner (2020a)
(15502) 1999 NV27
2012-09-20.1 | 15 | 4.25 | 5.20 | 3.9 | R | French et al. (2013)
2012-09-21.1 | 24 | 4.25 | 5.20 | 4.1 | R | French et al. (2013)
2012-09-22.1 | 51 | 4.26 | 5.20 | 4.3 | R | French et al. (2013)
2013-07-31.4 | 28 | 4.79 | 5.17 | 10.9 | V | Stephens et al. (2014b)
2013-08-01.3 | 11 | 4.77 | 5.17 | 10.8 | V | Stephens et al. (2014b)
2013-08-02.4 | 35 | 4.76 | 5.17 | 10.8 | V | Stephens et al. (2014b)
2013-08-03.4 | 42 | 4.74 | 5.17 | 10.7 | V | Stephens et al. (2014b)
2013-08-04.4 | 30 | 4.73 | 5.17 | 10.6 | V | Stephens et al. (2014b)
2013-08-05.4 | 37 | 4.72 | 5.16 | 10.6 | V | Stephens et al. (2014b)
2013-08-06.4 | 34 | 4.70 | 5.16 | 10.5 | V | Stephens et al. (2014b)
2013-08-07.4 | 38 | 4.69 | 5.16 | 10.4 | V | Stephens et al. (2014b)
2013-08-10.4 | 48 | 4.65 | 5.16 | 10.2 | V | Stephens et al. (2014b)
2013-08-11.4 | 37 | 4.64 | 5.16 | 10.1 | V | Stephens et al. (2014b)
2014-10-09.3 | 34 | 4.34 | 5.11 | 7.8 | V | Stephens et al. (2015)
2014-10-10.3 | 55 | 4.33 | 5.11 | 7.6 | V | Stephens et al. (2015)
2014-10-11.3 | 51 | 4.32 | 5.11 | 7.5 | V | Stephens et al. (2015)
2014-10-12.3 | 77 | 4.32 | 5.11 | 7.4 | V | Stephens et al. (2015)
2014-10-13.3 | 52 | 4.31 | 5.11 | 7.2 | V | Stephens et al. (2015)
2014-10-19.3 | 43 | 4.26 | 5.11 | 6.4 | V | Stephens et al. (2015)
2014-10-20.3 | 62 | 4.25 | 5.11 | 6.2 | V | Stephens et al. (2015)
2014-10-21.3 | 47 | 4.25 | 5.11 | 6.1 | V | Stephens et al. (2015)
2014-10-22.3 | 48 | 4.24 | 5.11 | 6.0 | V | Stephens et al. (2015)
2015-12-12.4 | 34 | 4.11 | 5.06 | 3.1 | V | Stephens et al. (2016b)
2015-12-13.4 | 48 | 4.11 | 5.06 | 3.0 | V | Stephens et al. (2016b)
2015-12-15.3 | 37 | 4.11 | 5.06 | 2.9 | V | Stephens et al. (2016b)
2015-12-16.3 | 70 | 4.10 | 5.06 | 2.8 | V | Stephens et al. (2016b)
2015-12-17.3 | 37 | 4.10 | 5.06 | 2.8 | V | Stephens et al. (2016b)
2015-12-18.3 | 46 | 4.10 | 5.06 | 2.7 | V | Stephens et al. (2016b)
2015-12-19.3 | 48 | 4.10 | 5.06 | 2.7 | V | Stephens et al. (2016b)
2015-12-20.2 | 14 | 4.10 | 5.06 | 2.7 | V | Stephens et al. (2016b)
2017-01-07.3 | 28 | 4.09 | 5.04 | 3.1 | V | Stephens & Coley (2017)
2017-01-16.2 | 23 | 4.06 | 5.04 | 1.2 | V | Stephens & Coley (2017)
2017-01-17.4 | 44 | 4.06 | 5.04 | 1.0 | V | Stephens & Coley (2017)
2017-01-18.4 | 77 | 4.06 | 5.04 | 0.8 | V | Stephens & Coley (2017)
2017-01-27.3 | 92 | 4.06 | 5.04 | 1.6 | V | Stephens & Coley (2017)
2017-01-28.3 | 76 | 4.07 | 5.04 | 1.8 | V | Stephens & Coley (2017)
(15527) 1999 YY2
2017-05-01.4 | 34 | 4.36 | 5.22 | 6.2 | V | Stephens & Warner (2017)
2017-05-02.4 | 26 | 4.35 | 5.22 | 6.1 | V | Stephens & Warner (2017)
2017-05-03.4 | 16 | 4.34 | 5.22 | 6.0 | V | Stephens & Warner (2017)
2017-05-04.4 | 30 | 4.34 | 5.22 | 5.8 | V | Stephens & Warner (2017)
2017-05-05.4 | 38 | 4.33 | 5.22 | 5.7 | V | Stephens & Warner (2017)
(17314) Aisakos
2014-10-21.2 | 13 | 3.94 | 4.81 | 6.3 | V | Stephens et al. (2015)
2014-10-21.5 | 15 | 3.94 | 4.81 | 6.2 | V | Stephens et al. (2015)
2014-10-22.3 | 40 | 3.93 | 4.81 | 6.1 | V | Stephens et al. (2015)
2014-10-22.4 | 18 | 3.93 | 4.81 | 6.0 | V | Stephens et al. (2015)
2014-10-23.3 | 26 | 3.92 | 4.81 | 5.9 | V | Stephens et al. (2015)
2014-10-23.5 | 23 | 3.92 | 4.81 | 5.9 | V | Stephens et al. (2015)
(17365) 1978 VF11
2013-09-28.4 | 70 | 4.12 | 4.90 | 8.0 | V | Stephens et al. (2014b)
2013-09-29.4 | 49 | 4.11 | 4.90 | 7.9 | V | Stephens et al. (2014b)
2013-10-02.4 | 64 | 4.08 | 4.90 | 7.4 | V | Stephens et al. (2014b)
2013-10-03.4 | 56 | 4.07 | 4.90 | 7.2 | R | Stephens et al. (2014b)
(18062) 1999 XY187
2014-03-21.3 | 47 | 4.23 | 5.14 | 5.0 | V | French et al. (2015)
2014-03-22.3 | 85 | 4.23 | 5.14 | 5.1 | V | French et al. (2015)
2014-03-23.2 | 57 | 4.24 | 5.14 | 5.2 | V | French et al. (2015)
2014-03-24.3 | 40 | 4.24 | 5.14 | 5.4 | V | French et al. (2015)
2014-03-25.3 | 49 | 4.25 | 5.14 | 5.5 | V | French et al. (2015)
2014-03-26.2 | 39 | 4.26 | 5.14 | 5.7 | V | French et al. (2015)
2014-03-27.3 | 60 | 4.26 | 5.14 | 5.8 | V | French et al. (2015)
2014-03-28.3 | 72 | 4.27 | 5.14 | 6.0 | V | French et al. (2015)
2014-03-29.3 | 77 | 4.28 | 5.14 | 6.1 | V | French et al. (2015)
2014-03-31.3 | 81 | 4.29 | 5.14 | 6.4 | V | French et al. (2015)
(23135) Pheidas
2011-11-20.4 | 21 | 4.55 | 5.02 | 10.5 | R | French et al. (2012)
2011-11-25.4 | 44 | 4.48 | 5.01 | 10.0 | R | French et al. (2012)
2011-11-25.5 | 13 | 4.47 | 5.01 | 10.0 | R | French et al. (2012)
2011-11-25.6 | 13 | 4.47 | 5.01 | 10.0 | R | French et al. (2012)
2011-11-26.4 | 37 | 4.46 | 5.01 | 9.9 | R | French et al. (2012)
2011-11-26.5 | 16 | 4.46 | 5.01 | 9.9 | R | French et al. (2012)
2011-11-26.6 | 16 | 4.46 | 5.01 | 9.9 | R | French et al. (2012)
2011-11-27.4 | 39 | 4.45 | 5.01 | 9.8 | R | French et al. (2012)
2011-11-27.5 | 16 | 4.45 | 5.01 | 9.8 | R | French et al. (2012)
2011-11-27.6 | 16 | 4.45 | 5.01 | 9.8 | R | French et al. (2012)
2015-10-15.2 | 457 | - | - | - | Kp | Kalup et al. (2021)
(30705) Idaios
2013-09-04.4 | 30 | 4.07 | 4.90 | 7.4 | V | Stephens et al. (2014b)
2013-09-06.4 | 40 | 4.06 | 4.90 | 7.1 | V | Stephens et al. (2014b)
2013-09-07.4 | 34 | 4.05 | 4.90 | 6.9 | V | Stephens et al. (2014b)
2013-09-11.4 | 44 | 4.01 | 4.90 | 6.2 | V | Stephens et al. (2014b)
2013-09-12.4 | 43 | 4.01 | 4.90 | 6.0 | V | Stephens et al. (2014b)
2013-09-17.4 | 41 | 3.97 | 4.90 | 5.0 | V | Stephens et al. (2014b)
2013-09-18.4 | 36 | 3.97 | 4.90 | 4.8 | V | Stephens et al. (2014b)
2013-09-23.4 | 59 | 3.94 | 4.90 | 3.8 | V | Stephens et al. (2014b)
2013-09-24.4 | 63 | 3.93 | 4.90 | 3.6 | V | Stephens et al. (2014b)
2013-09-27.4 | 75 | 3.92 | 4.90 | 2.9 | V | Stephens et al. (2014b)
2013-09-30.3 | 58 | 3.91 | 4.90 | 2.3 | V | Stephens et al. (2014b)
2013-10-01.3 | 68 | 3.91 | 4.90 | 2.1 | V | Stephens et al. (2014b)
2013-10-04.3 | 56 | 3.91 | 4.90 | 1.5 | V | Stephens et al. (2014b)
2013-10-08.3 | 43 | 3.90 | 4.90 | 0.8 | V | Stephens et al. (2014b)
2013-10-09.3 | 59 | 3.90 | 4.90 | 0.7 | V | Stephens et al. (2014b)
2013-10-13.3 | 74 | 3.91 | 4.90 | 1.1 | V | Stephens et al. (2014b)
2013-10-14.3 | 50 | 3.91 | 4.90 | 1.3 | V | Stephens et al. (2014b)
2014-10-13.3 | 37 | 4.14 | 4.97 | 6.9 | V | Stephens et al. (2015)
2014-10-13.5 | 19 | 4.13 | 4.97 | 6.9 | V | Stephens et al. (2015)
2014-10-14.3 | 33 | 4.13 | 4.97 | 6.8 | V | Stephens et al. (2015)
2014-10-14.5 | 26 | 4.13 | 4.97 | 6.7 | V | Stephens et al. (2015)
2014-10-16.3 | 38 | 4.11 | 4.97 | 6.4 | V | Stephens et al. (2015)
2014-10-16.5 | 15 | 4.11 | 4.97 | 6.4 | V | Stephens et al. (2015)
2014-10-17.3 | 26 | 4.10 | 4.97 | 6.2 | V | Stephens et al. (2015)
2017-02-27.2 | 16 | 4.60 | 5.33 | 7.8 | V | Stephens & Coley (2017)
2017-03-01.3 | 33 | 4.62 | 5.33 | 8.0 | V | Stephens & Coley (2017)
2017-03-02.3 | 33 | 4.63 | 5.33 | 8.1 | V | Stephens & Coley (2017)
2017-03-03.3 | 15 | 4.64 | 5.33 | 8.2 | V | Stephens & Coley (2017)
2017-03-04.3 | 28 | 4.65 | 5.33 | 8.3 | V | Stephens & Coley (2017)
2017-03-06.4 | 10 | 4.67 | 5.33 | 8.6 | V | Stephens & Coley (2017)
2017-03-07.4 | 14 | 4.69 | 5.33 | 8.7 | V | Stephens & Coley (2017)
(76867) 2000 YM5
2013-09-13.4 | 55 | 4.28 | 5.06 | 7.8 | V | Stephens et al. (2014b)
2013-09-14.4 | 51 | 4.27 | 5.06 | 7.6 | V | Stephens et al. (2014b)
2013-09-15.4 | 47 | 4.26 | 5.06 | 7.5 | V | Stephens et al. (2014b)
2013-09-16.4 | 55 | 4.25 | 5.06 | 7.3 | V | Stephens et al. (2014b)
2014-10-29.4 | 39 | 4.24 | 5.14 | 5.2 | V | Stephens et al. (2015)
2014-10-30.3 | 40 | 4.24 | 5.14 | 5.0 | V | Stephens et al. (2015)
2014-11-03.3 | 46 | 4.22 | 5.14 | 4.4 | V | Stephens et al. (2015)
2014-11-04.4 | 60 | 4.21 | 5.14 | 4.2 | V | Stephens et al. (2015)
2014-11-05.5 | 28 | 4.21 | 5.14 | 4.0 | V | Stephens et al. (2015)
2014-11-06.4 | 36 | 4.20 | 5.14 | 3.9 | V | Stephens et al. (2015)
2014-11-07.4 | 25 | 4.20 | 5.14 | 3.7 | V | Stephens et al. (2015)
2014-11-08.4 | 32 | 4.20 | 5.14 | 3.5 | V | Stephens et al. (2015)
2017-03-12.2 | 23 | 4.71 | 5.30 | 9.2 | V | Stephens & Coley (2017)
2017-03-13.3 | 42 | 4.72 | 5.30 | 9.3 | V | Stephens & Coley (2017)
2017-03-14.3 | 30 | 4.73 | 5.30 | 9.3 | V | Stephens & Coley (2017)
2017-03-16.3 | 43 | 4.75 | 5.30 | 9.5 | V | Stephens & Coley (2017)
2017-03-17.3 | 27 | 4.77 | 5.30 | 9.6 | V | Stephens & Coley (2017)
2017-03-19.3 | 27 | 4.79 | 5.30 | 9.7 | V | Stephens & Coley (2017)
(624) Hektor
1957-04-29.0 | 16 | 4.25 | 5.09 | 7.0 | V | Dunlap & Gehrels (1969)
1957-05-05.1 | 35 | 4.21 | 5.09 | 6.2 | V | Dunlap & Gehrels (1969)
1957-05-31.0 | 40 | 4.14 | 5.09 | 4.4 | V | Dunlap & Gehrels (1969)
1957-05-31.9 | 28 | 4.14 | 5.09 | 4.4 | V | Dunlap & Gehrels (1969)
1965-02-04.3 | 54 | 4.10 | 5.03 | 4.1 | V | Dunlap & Gehrels (1969)
1967-03-07.4 | 67 | 4.12 | 5.01 | 5.5 | V | Dunlap & Gehrels (1969)
1968-04-29.3 | 148 | 4.11 | 5.06 | 4.2 | V | Dunlap & Gehrels (1969)
1968-05-01.2 | 183 | 4.11 | 5.06 | 4.1 | V | Dunlap & Gehrels (1969)
1977-02-13.4 | 28 | 4.08 | 5.03 | 3.0 | C | Hartmann & Cruikshank (1978)
1977-02-13.6 | 29 | 4.08 | 5.03 | 3.0 | C | Hartmann & Cruikshank (1978)
1984-10-03.2 | 38 | 4.29 | 5.28 | 1.9 | B | Detal et al. (1994)
1984-10-03.2 | 40 | 4.29 | 5.28 | 1.9 | V | Detal et al. (1994)
1984-10-05.2 | 102 | 4.29 | 5.28 | 2.1 | V | Detal et al. (1994)
1990-03-15.1 | 24 | 4.07 | 5.06 | 1.4 | R | Dahlgren et al. (1991)
1990-03-16.1 | 10 | 4.07 | 5.06 | 1.3 | R | Dahlgren et al. (1991)
1991-04-14.3 | 37 | 4.14 | 5.10 | 3.8 | VBU | Hainaut-Rouelle et al. (1995)
1991-04-18.2 | 53 | 4.14 | 5.10 | 3.5 | VBU | Hainaut-Rouelle et al. (1995)
2006-07-23.4 | 22 | 4.38 | 5.33 | 4.2 | C | Marchis et al. (2014)
2006-07-24.4 | 38 | 4.37 | 5.33 | 4.0 | C | Marchis et al. (2014)
2006-07-25.4 | 38 | 4.37 | 5.33 | 3.8 | C | Marchis et al. (2014)
2008-10-17.3 | 135 | 4.36 | 5.33 | 2.8 | R | Stephens (2009)
2008-10-18.3 | 111 | 4.36 | 5.33 | 2.9 | R | Stephens (2009)
2008-10-27.3 | 87 | 4.40 | 5.33 | 4.1 | C | Marchis et al. (2014)
2008-10-28.3 | 51 | 4.40 | 5.33 | 4.2 | C | Marchis et al. (2014)
2008-10-30.1 | 70 | 4.41 | 5.33 | 4.5 | C | Marchis et al. (2014)
2008-12-29.5 | 49 | 5.14 | 5.32 | 10.6 | C | Marchis et al. (2014)
2009-01-03.4 | 55 | 5.22 | 5.32 | 10.6 | C | Marchis et al. (2014)
2009-01-10.5 | 53 | 5.33 | 5.32 | 10.6 | C | Marchis et al. (2014)
2009-01-11.4 | 19 | 5.34 | 5.32 | 10.6 | C | Marchis et al. (2014)
2009-01-12.5 | 59 | 5.36 | 5.32 | 10.6 | C | Marchis et al. (2014)
2009-01-14.4 | 51 | 5.39 | 5.32 | 10.5 | C | Marchis et al. (2014)
2009-01-16.4 | 29 | 5.42 | 5.32 | 10.5 | C | Marchis et al. (2014)
2009-01-17.4 | 19 | 5.44 | 5.32 | 10.4 | C | Marchis et al. (2014)
2009-01-20.4 | 22 | 5.48 | 5.32 | 10.3 | C | Marchis et al. (2014)
2009-01-24.4 | 41 | 5.54 | 5.32 | 10.1 | C | Marchis et al. (2014)
2009-01-28.4 | 9 | 5.60 | 5.32 | 9.9 | C | Marchis et al. (2014)
2009-08-14.7 | 60 | 5.24 | 5.29 | 11.0 | C | Marchis et al. (2014)
2009-08-17.1 | 68 | 5.20 | 5.29 | 11.0 | C | Marchis et al. (2014)
2009-08-19.0 | 99 | 5.17 | 5.29 | 11.0 | C | Marchis et al. (2014)
2009-08-23.6 | 45 | 5.10 | 5.29 | 11.0 | C | Marchis et al. (2014)
2009-08-24.6 | 38 | 5.09 | 5.29 | 10.9 | C | Marchis et al. (2014)
2009-08-26.7 | 46 | 5.06 | 5.29 | 10.9 | C | Marchis et al. (2014)
2009-09-06.6 | 52 | 4.90 | 5.29 | 10.5 | C | Marchis et al. (2014)
2009-10-17.0 | 148 | 4.44 | 5.29 | 6.3 | C | Marchis et al. (2014)
2009-11-06.4 | 30 | 4.35 | 5.28 | 4.0 | C | Marchis et al. (2014)
2009-11-07.5 | 115 | 4.35 | 5.28 | 3.9 | C | Marchis et al. (2014)
2009-11-08.4 | 65 | 4.35 | 5.28 | 3.9 | C | Marchis et al. (2014)
2009-11-15.4 | 54 | 4.35 | 5.28 | 3.8 | C | Marchis et al. (2014)
2009-11-16.4 | 43 | 4.35 | 5.28 | 3.9 | C | Marchis et al. (2014)
2009-11-18.4 | 88 | 4.35 | 5.28 | 4.0 | C | Marchis et al. (2014)
2010-02-03.5 | 65 | 5.15 | 5.27 | 10.8 | C | Marchis et al. (2014)
2010-02-24.5 | 20 | 5.46 | 5.27 | 10.4 | C | Marchis et al. (2014)
2010-03-03.5 | 36 | 5.56 | 5.26 | 10.0 | C | Marchis et al. (2014)
2010-03-08.5 | 46 | 5.63 | 5.26 | 9.7 | C | Marchis et al. (2014)
2010-03-11.4 | 6 | 5.67 | 5.26 | 9.5 | C | Marchis et al. (2014)
2010-11-06.5 | 32 | 4.52 | 5.22 | 8.2 | C | Marchis et al. (2014)
2010-11-10.5 | 23 | 4.48 | 5.22 | 7.7 | C | Marchis et al. (2014)
2010-11-19.5 | 40 | 4.40 | 5.22 | 6.6 | C | Marchis et al. (2014)
2010-11-28.5 | 46 | 4.34 | 5.22 | 5.4 | C | Marchis et al. (2014)
2010-11-30.6 | 32 | 4.33 | 5.22 | 5.1 | C | Marchis et al. (2014)
2010-12-01.5 | 73 | 4.33 | 5.22 | 5.0 | C | Marchis et al. (2014)
2010-12-05.5 | 79 | 4.31 | 5.22 | 4.6 | C | Marchis et al. (2014)
2011-02-03.5 | 75 | 4.61 | 5.21 | 9.1 | C | Marchis et al. (2014)
2011-02-08.4 | 17 | 4.67 | 5.21 | 9.6 | C | Marchis et al. (2014)
2011-02-19.5 | 70 | 4.81 | 5.21 | 10.4 | C | Marchis et al. (2014)
2011-02-22.5 | 50 | 4.86 | 5.20 | 10.6 | C | Marchis et al. (2014)
2011-02-23.5 | 54 | 4.87 | 5.20 | 10.6 | C | Marchis et al. (2014)
2011-11-26.7 | 75 | 4.62 | 5.16 | 9.7 | C | Marchis et al. (2014)
2011-12-10.7 | 25 | 4.44 | 5.16 | 8.1 | C | Marchis et al. (2014)
2011-12-13.6 | 30 | 4.41 | 5.16 | 7.7 | C | Marchis et al. (2014)
2011-12-14.6 | 30 | 4.40 | 5.16 | 7.6 | C | Marchis et al. (2014)
2011-12-17.5 | 28 | 4.37 | 5.16 | 7.1 | C | Marchis et al. (2014)
2014-04-16.2 | 62 | 4.21 | 5.13 | 4.9 | V | Stephens (2014)
2014-04-16.3 | 69 | 4.21 | 5.13 | 4.9 | V | Stephens (2014)
2014-04-17.2 | 68 | 4.21 | 5.13 | 5.0 | V | Stephens (2014)
2014-04-17.3 | 77 | 4.22 | 5.13 | 5.1 | V | Stephens (2014)
2019-07-16.4 | 44 | 4.80 | 5.38 | 9.4 | V | Stephens & Warner (2020a)
2019-07-18.4 | 49 | 4.77 | 5.38 | 9.2 | V | Stephens & Warner (2020a)
2019-07-19.4 | 38 | 4.76 | 5.38 | 9.1 | V | Stephens & Warner (2020a)
2019-07-27.4 | 72 | 4.66 | 5.38 | 8.2 | V | Stephens & Warner (2020a)
2019-07-28.4 | 67 | 4.65 | 5.38 | 8.0 | V | Stephens & Warner (2020a)
2019-8-29.0 | 56 | 4.40 | 5.38 | 2.7 | V | Valencia
2019-8-31.0 | 60 | 4.39 | 5.38 | 2.3 | V | Valencia
2019-8-31.1 | 61 | 4.39 | 5.38 | 2.3 | V | Valencia
2019-9-1.0 | 47 | 4.39 | 5.38 | 2.1 | V | Valencia
2019-9-6.0 | 77 | 4.38 | 5.38 | 1.1 | V | Valencia
(1173) Anchises
1971-06-08.6 | 11 | 5.21 | 5.57 | 10.1 | V | French (1987)
1971-06-08.7 | 14 | 5.21 | 5.57 | 10.1 | V | French (1987)
1971-06-08.7 | 15 | 5.21 | 5.57 | 10.1 | V | French (1987)
1971-06-08.8 | 32 | 5.21 | 5.57 | 10.1 | V | French (1987)
1986-07-03.2 | 11 | 3.66 | 4.67 | 2.0 | R | French (1987)
1986-07-04.2 | 16 | 3.66 | 4.67 | 1.8 | R | French (1987)
1986-07-05.2 | 18 | 3.66 | 4.67 | 1.5 | R | French (1987)
1986-07-10.1 | 8 | 3.65 | 4.67 | 0.4 | R | French (1987)
2016-02-08.2 | 12 | 5.03 | 5.74 | 7.3 | V | Stephens et al. (2016a)
2016-02-08.3 | 9 | 5.03 | 5.74 | 7.3 | V | Stephens et al. (2016a)
2016-02-09.1 | 27 | 5.04 | 5.74 | 7.4 | V | Stephens et al. (2016a)
2016-02-09.3 | 31 | 5.04 | 5.74 | 7.4 | V | Stephens et al. (2016a)
2016-02-10.1 | 19 | 5.05 | 5.74 | 7.5 | V | Stephens et al. (2016a)
2016-02-10.3 | 36 | 5.06 | 5.74 | 7.5 | V | Stephens et al. (2016a)
2016-02-11.1 | 23 | 5.07 | 5.75 | 7.6 | V | Stephens et al. (2016a)
2016-02-11.3 | 35 | 5.07 | 5.75 | 7.6 | V | Stephens et al. (2016a)
2016-02-12.3 | 41 | 5.08 | 5.75 | 7.7 | V | Stephens et al. (2016a)
2016-02-13.1 | 22 | 5.09 | 5.75 | 7.8 | V | Stephens et al. (2016a)
2016-02-13.3 | 45 | 5.10 | 5.75 | 7.9 | V | Stephens et al. (2016a)
2016-02-14.1 | 17 | 5.11 | 5.75 | 8.0 | V | Stephens et al. (2016a)
2016-02-14.3 | 52 | 5.11 | 5.75 | 8.0 | V | Stephens et al. (2016a)
2016-02-15.3 | 44 | 5.12 | 5.75 | 8.1 | V | Stephens et al. (2016a)
2016-02-16.1 | 19 | 5.14 | 5.75 | 8.2 | V | Stephens et al. (2016a)
2016-02-16.3 | 39 | 5.14 | 5.75 | 8.2 | V | Stephens et al. (2016a)
2017-12-20.4 | 23 | 5.50 | 6.02 | 8.3 | V | Stephens & Warner (2018b)
2017-12-20.5 | 17 | 5.49 | 6.02 | 8.3 | V | Stephens & Warner (2018b)
2017-12-21.4 | 25 | 5.48 | 6.02 | 8.2 | V | Stephens & Warner (2018b)
2017-12-21.5 | 18 | 5.48 | 6.02 | 8.2 | V | Stephens & Warner (2018b)
2017-12-22.4 | 10 | 5.47 | 6.02 | 8.1 | V | Stephens & Warner (2018b)
2017-12-26.4 | 39 | 5.41 | 6.02 | 7.7 | V | Stephens & Warner (2018b)
2017-12-26.5 | 15 | 5.41 | 6.02 | 7.7 | V | Stephens & Warner (2018b)
2017-12-27.4 | 35 | 5.40 | 6.02 | 7.6 | V | Stephens & Warner (2018b)
2017-12-27.5 | 19 | 5.40 | 6.02 | 7.6 | V | Stephens & Warner (2018b)
(2363) Cebriones
1987-08-27.3 | 6 | 4.18 | 5.04 | 6.6 | V | Binzel & Sauter (1992)
2008-06-10.2 | 189 | 4.09 | 4.99 | 5.9 | SR | Skiff et al. (2019)
2008-06-11.3 | 347 | 4.09 | 4.99 | 6.1 | SR | Skiff et al. (2019)
2010-09-04.3 | 43 | 4.28 | 5.06 | 7.9 | SR | Skiff et al. (2019)
2010-09-05.3 | 45 | 4.28 | 5.06 | 7.9 | SR | Skiff et al. (2019)
2010-09-06.3 | 50 | 4.29 | 5.06 | 8.0 | SR | Skiff et al. (2019)
2010-09-07.3 | 25 | 4.29 | 5.06 | 8.1 | SR | Skiff et al. (2019)
2010-09-21.2 | 96 | 4.40 | 5.06 | 9.2 | SR | Skiff et al. (2019)
2010-09-25.3 | 71 | 4.44 | 5.06 | 9.5 | SR | Skiff et al. (2019)
2019-05-29.3 | 62 | 4.22 | 5.07 | 6.8 | V | Stephens & Warner (2019c)
2019-05-30.3 | 62 | 4.23 | 5.07 | 7.0 | V | Stephens & Warner (2019c)
2019-05-31.3 | 61 | 4.24 | 5.07 | 7.2 | V | Stephens & Warner (2019c)
2019-06-01.2 | 61 | 4.25 | 5.07 | 7.3 | V | Stephens & Warner (2019c)
2019-06-02.2 | 66 | 4.26 | 5.07 | 7.5 | V | Stephens & Warner (2019c)
2019-06-03.3 | 65 | 4.27 | 5.07 | 7.7 | V | Stephens & Warner (2019c)
2019-06-04.2 | 56 | 4.28 | 5.07 | 7.8 | V | Stephens & Warner (2019c)
2020-04-29.4 | 81 | 4.19 | 5.02 | 7.1 | SR | Stephens & Warner (2020b)
2020-05-01.4 | 64 | 4.18 | 5.02 | 6.8 | SR | Stephens & Warner (2020b)
2020-05-02.4 | 56 | 4.17 | 5.02 | 6.7 | SR | Stephens & Warner (2020b)
2020-05-03.4 | 62 | 4.16 | 5.02 | 6.6 | SR | Stephens & Warner (2020b)
2020-05-04.4 | 55 | 4.16 | 5.02 | 6.4 | SR | Stephens & Warner (2020b)
2020-05-05.4 | 44 | 4.15 | 5.02 | 6.3 | SR | Stephens & Warner (2020b)
2020-05-06.4 | 38 | 4.14 | 5.02 | 6.2 | SR | Stephens & Warner (2020b)
(3317) Paris
1990-11-19.4 | 11 | 4.89 | 5.72 | 5.8 | B | Binzel & Sauter (1992)
2016-02-04.3 | 57 | 5.03 | 5.88 | 5.2 | V | Stephens et al. (2016a)
2016-02-05.3 | 60 | 5.04 | 5.88 | 5.4 | V | Stephens et al. (2016a)
2016-02-06.2 | 60 | 5.05 | 5.88 | 5.5 | V | Stephens et al. (2016a)
2016-12-29.4 | 29 | 5.01 | 5.82 | 5.9 | V | Stephens & Coley (2017)
2016-12-29.5 | 34 | 5.01 | 5.82 | 5.9 | V | Stephens & Coley (2017)
2017-01-06.3 | 37 | 4.93 | 5.82 | 4.6 | V | Stephens & Coley (2017)
2017-01-06.3 | 37 | 4.93 | 5.82 | 4.6 | V | Stephens & Coley (2017)
2017-01-06.5 | 18 | 4.93 | 5.82 | 4.6 | V | Stephens & Coley (2017)
2017-01-07.3 | 19 | 4.93 | 5.82 | 4.5 | V | Stephens & Coley (2017)
2017-01-16.3 | 17 | 4.87 | 5.81 | 2.9 | V | Stephens & Coley (2017)
2017-01-17.3 | 45 | 4.86 | 5.81 | 2.7 | V | Stephens & Coley (2017)
2017-01-17.5 | 45 | 4.86 | 5.81 | 2.7 | V | Stephens & Coley (2017)
2019-02-19.5 | 38 | 4.51 | 5.27 | 7.5 | V | Stephens & Warner (2019b)
2019-02-20.3 | 27 | 4.50 | 5.27 | 7.4 | V | Stephens & Warner (2019b)
2019-02-26.4 | 64 | 4.45 | 5.26 | 6.7 | V | Stephens & Warner (2019b)
2019-03-08.2 | 14 | 4.38 | 5.25 | 5.6 | V | Stephens & Warner (2019b)
2019-03-14.4 | 89 | 4.35 | 5.25 | 5.2 | V | Stephens & Warner (2019b)
2020-05-14.4 | 44 | 4.00 | 4.85 | 7.1 | SR | Stephens & Warner (2020b)
2020-05-15.2 | 33 | 4.00 | 4.85 | 7.2 | SR | Stephens & Warner (2020b)
2020-05-15.4 | 28 | 4.00 | 4.85 | 7.2 | SR | Stephens & Warner (2020b)
2020-05-16.2 | 48 | 4.00 | 4.84 | 7.3 | SR | Stephens & Warner (2020b)
2020-05-16.4 | 42 | 4.00 | 4.84 | 7.3 | SR | Stephens & Warner (2020b)
2020-05-17.2 | 38 | 4.00 | 4.84 | 7.3 | SR | Stephens & Warner (2020b)
2020-05-17.4 | 61 | 4.00 | 4.84 | 7.3 | SR | Stephens & Warner (2020b)
2020-05-18.2 | 38 | 4.01 | 4.84 | 7.4 | SR | Stephens & Warner (2020b)
2020-05-19.2 | 40 | 4.01 | 4.84 | 7.5 | SR | Stephens & Warner (2020b)
2020-05-20.3 | 17 | 4.01 | 4.84 | 7.6 | SR | Stephens & Warner (2020b)
2020-05-20.4 | 77 | 4.01 | 4.84 | 7.6 | SR | Stephens & Warner (2020b)
2020-05-21.2 | 40 | 4.02 | 4.84 | 7.6 | SR | Stephens & Warner (2020b)
2020-05-21.4 | 69 | 4.02 | 4.84 | 7.6 | SR | Stephens & Warner (2020b)
(5123) 1989 BL
2013-02-17.2 | 40 | 3.79 | 4.73 | 4.1 | V | French et al. (2013)
2013-02-17.4 | 39 | 3.79 | 4.73 | 4.1 | V | French et al. (2013)
2013-02-18.2 | 44 | 3.80 | 4.73 | 4.2 | V | French et al. (2013)
2013-02-18.4 | 45 | 3.80 | 4.73 | 4.3 | V | French et al. (2013)
2015-05-16.2 | 13 | 4.37 | 5.26 | 5.8 | V | This work (Stephens)
2015-05-16.3 | 21 | 4.37 | 5.26 | 5.8 | V | This work (Stephens)
2015-05-19.2 | 7 | 4.40 | 5.26 | 6.3 | V | This work (Stephens)
2015-05-19.3 | 18 | 4.40 | 5.26 | 6.3 | V | This work (Stephens)
2015-05-20.2 | 13 | 4.41 | 5.26 | 6.5 | V | This work (Stephens)
2015-05-20.3 | 17 | 4.41 | 5.26 | 6.5 | V | This work (Stephens)
2015-05-21.2 | 12 | 4.42 | 5.26 | 6.6 | V | This work (Stephens)
2015-05-22.2 | 13 | 4.43 | 5.26 | 6.8 | V | This work (Stephens)
2015-05-22.3 | 16 | 4.43 | 5.26 | 6.8 | V | This work (Stephens)
2015-05-23.2 | 5 | 4.44 | 5.26 | 6.9 | V | This work (Stephens)
2015-05-23.3 | 16 | 4.44 | 5.26 | 6.9 | V | This work (Stephens)
(5476) 1989 TO11
2020-05-01.3 | 38 | 3.94 | 4.93 | 2.2 | SR | Stephens & Warner (2020b)
2020-05-01.4 | 33 | 3.94 | 4.93 | 2.2 | SR | Stephens & Warner (2020b)
2020-05-02.3 | 32 | 3.94 | 4.93 | 2.1 | SR | Stephens & Warner (2020b)
2020-05-02.4 | 7 | 3.94 | 4.93 | 2.1 | SR | Stephens & Warner (2020b)
2020-05-03.3 | 15 | 3.94 | 4.93 | 2.0 | SR | Stephens & Warner (2020b)
2020-05-03.5 | 9 | 3.94 | 4.93 | 1.9 | SR | Stephens & Warner (2020b)
2020-05-04.3 | 16 | 3.94 | 4.93 | 1.9 | SR | Stephens & Warner (2020b)
2020-05-04.4 | 22 | 3.93 | 4.93 | 1.9 | SR | Stephens & Warner (2020b)
(13229) Echion
2013-03-06.3 | 24 | 3.87 | 4.84 | 2.4 | R | French et al. (2013)
2013-03-10.3 | 31 | 3.88 | 4.84 | 3.3 | V | French et al. (2013)
2013-03-11.3 | 69 | 3.89 | 4.84 | 3.6 | V | French et al. (2013)
2013-03-12.2 | 40 | 3.89 | 4.84 | 3.8 | V | French et al. (2013)
2013-03-13.3 | 40 | 3.90 | 4.84 | 4.0 | V | French et al. (2013)
2016-10-14.0 | 156 | - | - | - | Kp | Kalup et al. (2021)
(17492) Hippasos
2013-11-29.3 | 21 | 4.30 | 5.26 | 2.8 | V | Stephens et al. (2014b)
2013-11-29.4 | 19 | 4.30 | 5.26 | 2.8 | V | Stephens et al. (2014b)
2013-12-02.3 | 20 | 4.30 | 5.26 | 2.8 | V | Stephens et al. (2014b)
2013-12-02.4 | 18 | 4.30 | 5.26 | 2.8 | V | Stephens et al. (2014b)
2013-12-05.2 | 8 | 4.31 | 5.26 | 3.0 | V | Stephens et al. (2014b)
2013-12-05.4 | 43 | 4.31 | 5.26 | 3.0 | V | Stephens et al. (2014b)
2013-12-06.2 | 38 | 4.31 | 5.26 | 3.1 | V | Stephens et al. (2014b)
2013-12-06.3 | 7 | 4.31 | 5.26 | 3.1 | V | Stephens et al. (2014b)
2013-12-07.2 | 30 | 4.31 | 5.26 | 3.2 | V | Stephens et al. (2014b)
2013-12-07.3 | 6 | 4.31 | 5.26 | 3.2 | V | Stephens et al. (2014b)
2013-12-08.2 | 24 | 4.32 | 5.26 | 3.3 | V | Stephens et al. (2014b)
2013-12-08.4 | 32 | 4.32 | 5.26 | 3.3 | V | Stephens et al. (2014b)
2013-12-09.2 | 40 | 4.32 | 5.26 | 3.4 | V | Stephens et al. (2014b)
2013-12-09.4 | 32 | 4.32 | 5.26 | 3.5 | V | Stephens et al. (2014b)
2013-12-10.2 | 35 | 4.33 | 5.26 | 3.6 | V | Stephens et al. (2014b)
2013-12-10.4 | 24 | 4.33 | 5.26 | 3.6 | V | Stephens et al. (2014b)
2019-05-12.4 | 59 | 4.23 | 5.12 | 5.7 | V | Stephens & Warner (2019c)
2019-05-13.3 | 95 | 4.23 | 5.12 | 5.8 | V | Stephens & Warner (2019c)
2019-05-14.3 | 63 | 4.23 | 5.12 | 5.9 | V | Stephens & Warner (2019c)
2019-05-20.3 | 60 | 4.25 | 5.12 | 6.4 | V | Stephens & Warner (2019c)
2019-05-21.3 | 67 | 4.26 | 5.12 | 6.5 | V | Stephens & Warner (2019c)
(18263) Anchialos
2014-04-26.2 | 13 | 4.27 | 5.22 | 3.8 | R | French et al. (2015)
2014-04-28.2 | 12 | 4.27 | 5.22 | 4.1 | R | French et al. (2015)
2014-04-29.2 | 19 | 4.28 | 5.22 | 4.2 | R | French et al. (2015)
2014-04-30.2 | 13 | 4.28 | 5.22 | 4.4 | R | French et al. (2015)
2014-05-01.1 | 13 | 4.29 | 5.22 | 4.6 | R | French et al. (2015)
2016-10-28.0 | 94 | - | - | - | Kp | Kalup et al. (2021)
(32370) 2000 QY151
2011-08-21.2 | 62 | 3.84 | 4.84 | 2.0 | R | French et al. (2015)
(32615) 2001 QU277
2013-10-05.1 | 10 | 4.14 | 5.04 | 5.5 | R | Stephens et al. (2014b)
2013-10-06.1 | 26 | 4.15 | 5.04 | 5.7 | R | Stephens et al. (2014b)
2013-10-07.2 | 21 | 4.15 | 5.04 | 5.8 | R | Stephens et al. (2014b)
2013-10-08.1 | 27 | 4.16 | 5.04 | 5.9 | R | Stephens et al. (2014b)
Table 7: continued. 141414 For each lightcurve, the table gives the epoch, the
number of individual measurements $N_{p}$, asteroid’s distances to the Earth
$\Delta$ and the Sun $r$, phase angle $\varphi$, photometric filter and the
reference to the data.