MétaCan
Menu
← Back to cohort
Record W3099528756 · doi:10.5194/epsc2020-456

Physical properties and radiant distribution of the Orionids as observed by the Canadian Automated Meteor Observatory’s mirror tracking system

2020· article· en· W3099528756 on OpenAlexaffabout
Denis Vida, Peter Brown, M. Campbell‐Brown

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstrophysics and Star Formation Studies
Canadian institutionsWestern University
Fundersnot available
KeywordsChemistryPhysics

Abstract

fetched live from OpenAlex

AbstractFourteen Orionids were observed by the Canadian Automated Meteor Observatory’s (CAMO) mirror tracking system. Their radiants were measured with an average precision of 3' and a possible radiant structure was revealed. Ablation modelling shows that light curves, decelerations, and wakes of the observed Orionids can be well modelled using a similar bulk density to the in-situ measurements of dust ejected by the comet 1P/Halley.IntroductionThe Orionids are an annual meteor shower whose parent body is the comet 1P/Halley. The shower mostly has mm-sized particles, but cm-sized Orionid fireball outbursts have been observed in the past (Spurný & Shrbený, 2007). Many previous studies attempted to characterize the radiant dispersion of fainter Orionids, but in most cases the precision of their observations was likely on the same order as the measured dispersion (Kresák & Porubčan, 1970; Hajduk, 1970). Kresák & Porubčan (1970) measured the dispersion of 0.84° (median offset from the mean radiant), while Spurný & Shrbený (2007) measured a dispersion of the resonant Orionid branch to be only 0.12°. Cm-sized meteoroids that are not very affected by non-gravitational forces and are locked in a resonance are naturally expected to have smaller dispersions, but it is not clear whether the dispersion of smaller non-resonant meteoroids was really resolved by Kresák & Porubčan (1970).Dynamical models are usually utilized to predict and understand the activity and evolution of meteoroid streams, including the Orionids (e.g. Sato & Watanabe, 2007; McIntosh & Jones, 1988). The accuracy of such models is dependent on knowing the physical properties of the parent body and the dust it produces, especially the bulk density of the ejected dust. The in-situ investigation of physical properties of dust ejected from 1P/Halley was done by the Vega-2 spacecraft – during its 1986 flyby it measured the dust bulk density of 300 kg/m3 (Krasnopolsky et al., 1988).In this work we use high-precision measurements of the 2019 Orionids and fit a meteoroid ablation model to them. We successfully fit the light curve and deceleration, and for the first time the wake of the observed meteoroids.Methods14 Orionids were observed by high-resolution narrow field CAMO cameras (6 arcseconds per pixel, 3 m/px at 100 km precision). The data was manually calibrated and reduced, and the trajectories were computed using the Monte Carlo meteor trajectory estimation method by Vida et al. (2020).The observed light curve, high-resolution meteoroid deceleration, and wake were fit using the Borovička et al. (2007) meteoroid ablation model which models meteoroid fragmentation as a continuous release of μm-sized grains.ResultsRadiant structureThe measured CAMO radiant dispersion was compared to radiant measurements by the Cameras for All-sky Meteor Surveillance (CAMS; Jenniskens et al., 2011), and the Global Meteor Network[1] (GMN) cameras with 16mm lenses. The comparison is shown in Fig 1. The CAMS and GMN data were filtered by excluding all trajectories with the convergence angles smaller than 15° and a velocity error higher than 15%. Furthermore, all radiants with radiant errors higher than 30 arc minutes for CAMS, and 5 arc minutes for GMN were excluded from the analysis. The radiant error cutoff reflects the stated errors in the datasets themselves and is chosen so that the 25% most precise radiants are used.Figure 1: Comparison of CAMO, CAMS, and GMN Orionid radiants. Error bars are shown for the GMN and CAMO data, while for CAMS are on the order of 0.5 deg.Fig 1. shows that both the CAMO and GMN data sets are small in number, which raises concerns about small number statistics. Nevertheless, they are consistent among themselves and the observed radiant dispersion is an order of magnitude higher than the stated radiant measurement precision. Interestingly, the radiants appear to the organized into two possible distinct groups and have a very low variation of the ecliptic latitude of only ~0.1°. In Fig 2., we show how we attempted to separate the radiants into two groups: one cut by ecliptic latitude at β = -7.5°, and the other cut by Sun-centered ecliptic longitude at λg – λs = 246°. After the radiant drift correction, the latitude cut does not seem to drastically reduce the radiant dispersion of individual groups below the overall dispersion of ~0.4°. Nevertheless, the cut by the Sun-centered longitude reduced the drift-corrected dispersion of the branch with λg – λs < 246° to only 0.1°. Although further measurements and dynamical modelling are needed to confirm the existence of the two separate groups, we find strong evidence that we have resolved the radiant structure of the Orionids.Figure 2: CAMO Orionid radiants color coded by the solar longitude. Figure 3: Dispersion analysis of the two groups split by the Sun-centred ecliptic longitude. [1] Global Meteor Network data: https://globalmeteornetwork.org/data/ Physical properties of the Orionids Although our modelling efforts are still in the initial stage, we were able to fit the ablation model to all observations quite well with very similar physical properties. Figures 4 and 5 show an example of the fit to the light curve, dynamics, and the wake to an Orionid observed on 2019/10/23 09:13:10 UTC. For this particular event, we used the initial velocity of 67.6 km/s at the beginning of the simulation at 180 km, a bulk density of 300 kg/m3, a grain density of 3000 kg/m3, initial mass of 3.1x10-6 kg, intrinsic ablation coefficient of 0.025 s2/km2, initial height of erosion of 114 km, and erosion coefficient of 0.45 s2/km2, a grain mass index of 2.15, an grain sizes between 19 – 317 μm. A detailed analysis will be done in a future paper. Figure 4: Light curve, velocity, and the wake fit for the example CAMO Orionid. Figure 5: Lag (“the distance that the meteoroid falls behind an object with a constant velocity that is equal to the initial meteoroid velocity”; Subasinghe et al, 2017) fit for the example CAMO Orionid.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.329
Threshold uncertainty score0.661

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.059
GPT teacher head0.234
Teacher spread0.175 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2020
Admission routes2
Has abstractyes

Explore more

Same topicAstrophysics and Star Formation Studies→French-language works237,207→