Skip to content
DraconiticResearch
Search Sources API
174,684 studies31 sourcesUpdated 2 min ago
Peer-reviewedPublisher termsAstronomy & Astrophysics

Unsupervised selection and characterisation of little red dots in JWST surveys with manifold learning

Related

  1. Improving exoplanet mass characterisation with Bayesian model selection using the Learned Harmonic Mean Estimator
    Ross S. Dobson, Vincent Van Eylen, Ioanna Manolopoulou +1
    arXivPreprintarXiv licenceFull textInstrumentation & methodsPlanetary science & exoplanetsarXiv
  2. Data-driven characterisation of variable source light curves with multimodal representation learning
    M. Madarász, G. Marton, M. Audard
    Astronomy & AstrophysicsPeer-reviewedPublisher termsSolar & stellar physicsCrossref
  3. Chromospheric sensitivity of stellar spectral lines: an unsupervised machine learning classification
    Juan I. Peralta, Mariela C. Vieytes
    arXivPreprintCC BY-NC-ND 4.0Full textSolar & stellar physicsarXiv
  4. J-PLUS: Identifying Outlier Spectral Energy Distributions in the Fourth Data Release Using Unsupervised Machine Learning
    F. Quispe-Huaynasi, F. Roig, V. Loaiza-Tacuri +25
    arXivPreprintarXiv licenceFull textGalaxiesInstrumentation & methodsarXiv
  5. J-PLUS: Identifying Outlier Spectral Energy Distributions in the Fourth Data Release Using Unsupervised Machine Learning
    F. Quispe-Huaynasi, F. Roig, V. Loaiza-Tacuri +25
    The Astrophysical JournalPeer-reviewedCC BY 4.0Full textSolar & stellar physicsCrossref
BibTeX
@article{ginolfi2026unsupervised,
  title = {{Unsupervised selection and characterisation of little red dots in JWST surveys with manifold learning}},
  author = {Michele Ginolfi and Filippo Mannucci and Alessandro Marconi and Francesco D’Eugenio and Giacomo Venturi and Francesco Belfiore and Giovanni Cresci and Caterina Bracci and Stefano Carniani and Alessandra Cozzi and Roberto Maiolino and Guido Risaliti},
  journal = {Astronomy \& Astrophysics},
  year = {2026},
  month = nov,
  doi = {10.1051/0004-6361/202662204},
  url = {https://www.aanda.org/10.1051/0004-6361/202662204},
}
RIS
TY  - JOUR
TI  - Unsupervised selection and characterisation of little red dots in JWST surveys with manifold learning
AU  - Michele Ginolfi
AU  - Filippo Mannucci
AU  - Alessandro Marconi
AU  - Francesco D’Eugenio
AU  - Giacomo Venturi
AU  - Francesco Belfiore
AU  - Giovanni Cresci
AU  - Caterina Bracci
AU  - Stefano Carniani
AU  - Alessandra Cozzi
AU  - Roberto Maiolino
AU  - Guido Risaliti
PY  - 2026
DA  - 2026/11/04
JO  - Astronomy & Astrophysics
DO  - 10.1051/0004-6361/202662204
UR  - https://www.aanda.org/10.1051/0004-6361/202662204
SN  - 0004-6361
SN  - 1432-0746
ER  -