Spectra and Polarisation In Cutouts of Extragalactic sources from RACS First Data Release (SPICE-RACS-DR1)
Notice bibliographique
Résumé
*NOTICE* July 2024: We have discovered an error in the flux density of Stokes Q and U in this data release. Full details are provided in a corrigendum in PASA (see link below). If you are reading this notice the catalogue, spectra and images in this collection have been corrected. The data in the linked 'full' DAP collection are also corrected. Users of the old data can apply their own correction by multiplying Stokes Q and U by 2 for correct results. However, we recommend using the updated products provided here. Users can confirm they are using updated files by inspecting the HISTORY card in the FITS headers. Spectra and Polarisation In Cutouts of Extragalactic sources from RACS (SPICE-RACS) is a project to derive an all-Southern-sky, linear polarisation map from the Rapid ASKAP Continuum Survey (RACS). Through this project, we will derive the following products: - Cutout image cubes in Stokes I, Q, and U around every source detected in total intensity as a function of frequency - Polarisation spectra as a function of frequency and Faraday depth for every component detected in total intensity - A catalogue summarising the polarisation properties, including rotation measure (RM), for every component. This collection represents a subset of the data presented in SPICE-RACS-DR1 (Thomson et al. 2023). This subset refers to the 24680 components ('cut') (out of the 'full' 105912) for which a reliable polynomial fit could be derived for the Stokes I spectra that were extracted. This collection contains the 'cut' subset, please see the linked collections for the 'full' data. Our final data products are as follows: spice-racs.dr1.corrected.{cut,full}.xml: - Our component catalogue in VOTable format for the first (cut) and second (full) sets of components described above. The former is included with this deposit. {source_id}.cutout.{image,weights}.*.fits: - Image and weights cube cutout in Stokes I, Q, and U cutout around a RACS-low source identified by ‘source_id’. The data dimensions are J2000 right ascension and declination, Stokes parameter, and frequency. {cat_id}_polspec.fits: - Polarisation spectra extracted on the position of the RACS-low component identified by ‘cat_id’ in POLSPECTRA format. Each table contains a single row, corresponding to the component. spice_racs_dr1_polspec_{cut,full}.tar: - A tarball containing all of the POLSPECTRA for the 'cut' and second 'full' sets of components described above. These are available in the linked collections. Recommended catalogue subsets: Our 'full' catalogue contains extracted polarisation data for all 105912 Stokes I components detected in our DR1 region. It is important to note that the majority of these do not have reliably detected polarised emission. When using this catalogue please use the provided flags, and uncertainty/quality metrics to derive a subset suitable for your science goals. If you're unsure where to start, these are our recommended basic subsets: - 'goodI' : Where our Stokes I model is reliable -- channel_flag and stokesI_fit_flag are False (this produces the 'cut' catalogue from the 'full'). - 'goodL': Where we have a reliable detection of polarised signal, but not necessarily a reliable RM -- goodI plus leakage_flag is False and snr_polint >= 5. - 'goodRM': Where the RM is reliable -- goodL plus snr_flag is False.
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 | 0,001 | 0,001 |
| 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 ».