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Enregistrement W4412122638 · doi:10.5194/epsc-dps2025-1035

Joint JWST and HST Deep Imaging to Characterize Cold Classical TNO Colors

2025· preprint· en· W4412122638 sur OpenAlexaff
Anastasia Morgan, Marielle R. Eduardo, David E. Trilling, Wesley C. Fraser, John Stansberry, G. M. Bernstein, B. Hilbert, Matt Holman, W. M. Grundy, S. C. Tegler, Cesar Fuentes, Kevin J. Napier

Notice bibliographique

Revuenon disponible
Typepreprint
Langueen
DomaineEngineering
ThématiqueInfrared Target Detection Methodologies
Établissements canadiensHerzberg Institute of AstrophysicsUniversity of Victoria
Organismes subventionnairesnon disponible
Mots-clésJoint (building)Artificial intelligenceComputer scienceEngineering

Résumé

récupéré en direct d'OpenAlex

Introduction: Trans-Neptunian objects (TNOs) exhibit a distinct bifurcation in surface colors that reflects differences in dynamical histories. Cold classical TNOs occupy low‑inclination, near‑circular orbits beyond Neptune and display extremely red optical to near-infrared colors, consistent across a wide size range down to ~40 km [1-4]. New Horizons’ close‑up study of Arrokoth confirmed this trend and revealed a low crater density, suggesting minimal collisional resurfacing [5,6]. Dynamically excited TNOs on resonant, scattered, and detached orbits span a broad range of color from neutral to red [7,8]. As these bodies evolve inward into Centaurs and Jupiter‑family comets, solar heating and higher‑velocity impacts diversify their surfaces [9, 10].A key question remains whether the smallest cold classicals with diameters less than 20 km retain primordial surface properties, or if frequent collisions lead to spectral neutralization or bluing. Our parallel program uses JWST NIRCam imaging to probe the size distribution of faint TNOs down to ~10 km and HST ACS+WFC3 observations to characterize color diversity at these scales. These data allow us to test whether collisional evolution or preservation of primordial material dominates surface color evolution in the cold classical belt.Observations: JWST Cycle 1 program #1568 conducted a pencil-beam survey from January 24 to February 4, 2023 using NIRCam filters F150W2 and F322W2. A 20-tile mosaic, centered at 13h RA and –10° Dec, targeted objects between 42-48 AU. Observations at three epochs separated by ~5 days allowed for detections of objects as small as ~10 km.Simultaneously, HST Cycle 29 program #16720 ran from January 24 to February 3, 2023 using ACS filter F814W and WFC3/UVIS filter F350LP. Nine configurations aligned with the JWST footprint were each observed for 11 orbits. Due to differences in pointing constraints, only a subset of JWST discoveries overlap with HST coverage. Figure 1 shows the footprint of both observatories. A known TNO, 2015 GK56, was purposefully placed into both observations to test our recovery pipelines and can also be seen in Figure 1.Figure 1. Observational footprints of JWST NIRCam (bold blue) and HST ACS (blue) and WFC3/UVIS (magenta) at 13h RA and -10° Dec. The tracks of 2015 GK56 can be seen in green and red.Analysis: We initially used aperture photometry for objects visible in single exposures, generating preliminary lightcurves via sinusoidal fitting. Colors were calculated from the mean magnitude difference of HST and JWST. Trailed PSF photometry is now being applied to all objects intersecting the HST fields to account for motion blur in the ~1200 s exposures.Preliminary Results: TNO 2015 GK56 was recovered in both JWST and HST data. Preliminary lightcurve fitting yields a ~16-hour rotation period and 0.7 mag lightcurve amplitude (Figure 2). The “V-shaped” troughs and inverted “U-shaped” peaks match the signature of a contact binary [11]. Interestingly, its color is more neutral than expected for a cold classical.Figure 2. HST ACS F814W preliminary lightcurve of 2015 GK56. Blue points show single-epoch photometry with a best-fit curve (solid orange line, left) and the right panel demonstrating the pronounced V-shaped minima and inverted U-shaped maxima that are characteristic of a contact binary.Figure 3 shows a preliminary color-color diagram for objects detected in both JWST and HST. These results combine data from HST’s ACS/F814 and WFC3/F350LP filters with JWST’s NIRCam shot-wavelength (SW, F150W2) filter. All confirmed TNO detections have been observed in both SW and long-wavelength (LW, F322W2) filters, where we have SW/LW color information for each. However, only preliminary photometry from F150W2 is included in this analysis. Additionally, only two TNOs that currently have detections in the F350LP filter. Their distribution reveals a range of surface colors and is consistent with Gaussian-like color trends reported in [9].Figure 3. Preliminary color-color diagram for TNOs detected in both JWST and HST. The central panel shows color indices (F350LP-F150W2) and (F814W-F150W2) for objects visible in single-exposure data. Color distributions for each filter combination are seen along the top and right axes. The red shaded region marks colors expected for a red spectrum based on Arrokoth, while the blue region corresponds to a neutral, flat spectrum. Error bars are not shown, as these are preliminary measurements. Typical uncertainties are estimated to be ± 0.1 magnitudes.Future Work: Ongoing efforts include completing trailed PSF photometry for all ACS-detected objects and finalizing a model for the WFC3/F350LP filter. These refinements will improve our photometric accuracy and expand the sample of TNOs with reliable color measurements.We will compare our measured color distributions to previously published photometry and spectra of TNOs to investigate whether small objects follow similar surface composition trends. We will explore correlations between color and other physical and orbital properties, including size, inclination, and dynamical classification.In parallel, we will measure lightcurves from the PSF photometry to better characterize features across the sample such as rotational periods, amplitudes, and shapes. Collectively, this work will extend previous color surveys into a fainter regime and smaller size range, helping to determine whether small cold classical TNOs preserve primordial surfaces or have been modified by collisional and dynamical evolution over time.References: [1] Tegler S. C. and Romanishin W. (2000) Nature, 407, 979. [2] Benecchi S. D. et al. (2019) Icarus, 334, 22. [3] Pike R. E. et al. (2017) Astron. J., 154, 101. [4] Fraser W. C. et al. (2023) Planet. Sci. J., 4, 80. [5] Stern A. et al. (2019) Science, 364, aaw977. [6] Grundy W. M. et al. (2020) Science, 367, aay3705. [7] Levison H. F. et al. (2008) Icarus, 196, 258. [8] Marsset M. et al. (2019) Astron. J., 157, 94. [9] Tegler S.C. et al. (2016) Astron. J., 152, 210. [10] Jewitt D. (2015) Astron. J., 150, 201. [11] Thirourin A. and Sheppard S. S. (2019) Astron J., 157, 228

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,011
Score d'incertitude au seuil0,022

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0010,001
Science ouverte0,0000,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0030,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,039
Tête enseignante GPT0,264
Écart entre enseignants0,225 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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