EPOCHS. III. Unbiased UV Continuum Slopes at 6.5 < <i>z</i> < 13 from Combined PEARLS GTO and Public JWST/NIRCam Imaging
Notice bibliographique
Résumé
Acknowledgements: We acknowledge support from the ERC Advanced Investigator Grant EPOCHS (grant No. 788113), as well as two studentships from STFC for D.A. and T.H. L.W. acknowledges funding from the Faculty of Science & Engineering at the University of Manchester. L.F. acknowledges financial support from Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brazil (CAPES) in the form of a PhD studentship. R.W., S.H.C., and R.A.J. acknowledge support from NASA JWST Interdisciplinary Scientist grant Nos. NAG5 12460, NNX14AN10G, and 80NSSC18K0200 from the Goddard Space Flight Center. C.C. is supported by National Natural Science Foundation of China, grant Nos. 11803044, 11933003, and 12173045. This work is sponsored (in part) by the Chinese Academy of Sciences (CAS), through a grant to the CAS South America Center for Astronomy (CASSACA). We acknowledge the science research grants from the China Manned Space Project with grant No. CMS-CSST-2021-A05. M.A.M. acknowledges the support of a National Research Council of Canada Plaskett Fellowship, and the Australian Research Council Centre of Excellence for All Sky Astrophysics in 3 Dimensions (ASTRO 3D), through project number CE17010001. M.N. acknowledges INAF-Mainstreams 1.05.01.86.20. C.N.A.W. acknowledges support from the NIRCam Science Team contract to the University of Arizona, NAS 5-02015. E.Z. acknowledges project grant No. 2022-03804 from the Swedish Research Council (Vetenskapsrådet) and has also benefited from a sabbatical at the Swedish Collegium for Advanced Study. This work is based on observations made with the NASA/ESA Hubble Space Telescope (HST) and NASA/ESA/CSA JWST obtained from the Mikulski Archive for Space Telescopes (MAST) at the Space Telescope Science Institute (STScI), which is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NAS 5-03127 for JWST, and NAS 5–26555 for HST. The PEARLS observations used in this work are associated with JWST programs 1176 and 2738. In addition, public data sets from JWST programs 1180, 1210, 1895, 1963 (JADES), 1324 (GLASS), 1345 (CEERS), and 2079 (NGDEEP) are also used within the work presented. Some of the data products presented herein were retrieved from the Dawn JWST Archive (DJA). DJA is an initiative of the Cosmic Dawn Center, which is funded by the Danish National Research Foundation under grant No. 140. The authors thank all involved in the construction and operations of the telescope as well as those who designed and executed these observations; their number are too large to list here, and without each of their continued efforts such work would not be possible. The authors also thank Adam Carnall for their prompt help with Bagpipes via email, as well as helpful discussions with Rebecca Bowler, Fergus Cullen, and Albert Zijlstra, which significantly improved the discussion of results. This work is dedicated to the memory of our dedicated colleague and coauthor, Mario Nonino, who sadly passed during the completion of this work. The authors thank Anthony Holloway and Sotirios Sanidas for providing their expertise in high-performance computing and other IT support throughout this work. This work makes use of astropy (Astropy Collaboration et al. 2013, 2018, 2022), matplotlib (J. D. Hunter 2007), reproject, DrizzlePac (S. L. Hoffmann et al. 2021), SciPy (P. Virtanen et al. 2020), photutils (L. Bradley et al. 2022), and galfind. v1 of the galfind code is expected to be released to the public within the next year.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».