MétaCan
Menu
Back to cohort

Recent Advances in the Pan-STARRS Search for Near-Earth Objects

2022· article· en· W4297953605 on OpenAlexaff
R. J. Wainscoat, K. C. Chambers, R. Weryk, Y. Ramanjooloo, M. E. Huber, E. A. Magnier

Bibliographic record

Venue2022 IEEE Aerospace Conference (AERO) · 2022
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstro and Planetary Science
Canadian institutionsWestern University
Fundersnot available
KeywordsComputer scienceAstrobiologyPhysics

Abstract

fetched live from OpenAlex

The Pan-STARRS telescopes on Haleakala, Maui, search the sky every night for objects that pass close to Earth. The Pan-STARRS1 telescope has been in operation for over 10 years. The Pan-STARRS2 telescope is now delivering similar performance, and together these telescopes can survey most of the available sky twice during each lunation. Pan-STARRS2 experienced some early technical issues. These included secondary mirror mount problems, and use of a silver coating on the secondary mirror, which degraded rapidly after Kilauea erupted on the island of Hawaii. The secondary mirror was recoated with protected aluminum, and the mirror mount problems solved. Pan-STARRS2 now delivers slightly better throughput compared to Pan-STARRS1, due to its newer mirror coating. Image quality is currently similar on each of the two telescopes, and is mostly limited by local atmospheric conditions (“seeing”). Prior to 2021, the reporting latency of Pan-STARRS did not allow for immediate follow up of new discoveries. But this latency has been reduced and Pan-STARRS now attempts same-night self-recovery of many of its newly discovered Near-Earth Objects. This extends the orbital arc from approximately 1 hour to 3–4 hours. Because of Earth rotation, the motion of the observer produces parallax that helps to constrain the distance and size of the Near-Earth Object, thereby reducing the future positional uncertainty, and aiding in recovery. One of the most important discoveries of Pan-STARRS to date is the interstellar object 'Oumuamua. It is likely that Pan-STARRS detected other interstellar objects in the past, but without rapid follow-up they were not recovered. The same-night follow up should aid in the discovery of interstellar objects in the future. Pan-STARRS produces excellent astrometry, and often sees curvature in the path of nearby Near-Earth Objects. This is caused by Earth's rotation, and is an indication that an object is very nearby. Pan-STARRS has not yet discovered an impacting asteroid before impact. However, the ability to see curvature, to-gether with the new capability for same-night follow up, and the improved sky coverage coming from two telescopes, makes Pan-STARRS a powerful tool for discovering impacting asteroids.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.783
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.025
GPT teacher head0.265
Teacher spread0.240 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations3
Published2022
Admission routes1
Has abstractyes

Explore more

Same venue2022 IEEE Aerospace Conference (AERO)Same topicAstro and Planetary ScienceFrench-language works237,207