NutMaat: A Python package for stellar spectral classification on the MK system
Fuente:
arXiv
Saved in:
| Main Authors: | El-Kholy, R. I., Hayman, Z. M. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Optimized sampling of SDSS-IV MaStar spectra for stellar classification using supervised models
by: El-Kholy, R. I., et al.
Published: (2024)
by: El-Kholy, R. I., et al.
Published: (2024)
Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds
by: Ghaziasgar, Sepideh, et al.
Published: (2025)
by: Ghaziasgar, Sepideh, et al.
Published: (2025)
A Random Forest spectral classification of the Gaia 500-pc white dwarf population
by: Zamora, Enrique Miguel García, et al.
Published: (2025)
by: Zamora, Enrique Miguel García, et al.
Published: (2025)
Barbá 2: A new supergiant-rich Galactic stellar cluster
by: Apellániz, J. Maíz, et al.
Published: (2024)
by: Apellániz, J. Maíz, et al.
Published: (2024)
Spectral classification
by: Apellániz, J. Maíz, et al.
Published: (2024)
by: Apellániz, J. Maíz, et al.
Published: (2024)
The IACOB project XII. A new grid of northern standards for the spectral classification of B-type stars
by: Negueruela, Ignacio, et al.
Published: (2024)
by: Negueruela, Ignacio, et al.
Published: (2024)
Going Bayesian on the ages of nearby young stellar systems I. The expansion rate method
by: Olivares, J., et al.
Published: (2025)
by: Olivares, J., et al.
Published: (2025)
Kalkayotl 2.0 Bayesian phase-space modelling of star-forming regions, stellar associations, and open clusters
by: Olivares, J., et al.
Published: (2024)
by: Olivares, J., et al.
Published: (2024)
M3DIS -- A grid of 3D radiation-hydrodynamics stellar atmosphere models for stellar surveys
by: Eitner, Philipp, et al.
Published: (2024)
by: Eitner, Philipp, et al.
Published: (2024)
The Survey of Surveys: machine learning for stellar parametrization
by: Turchi, A., et al.
Published: (2024)
by: Turchi, A., et al.
Published: (2024)
StarEstate: A Python Package for Galactic Population Synthesis
by: Romagnolo, Amedeo
Published: (2025)
by: Romagnolo, Amedeo
Published: (2025)
Scalable stellar evolution forecasting: Deep learning emulation vs. hierarchical nearest neighbor interpolation
by: Maltsev, K., et al.
Published: (2023)
by: Maltsev, K., et al.
Published: (2023)
pyKurucz: A Pure Python Reimplementation of Kurucz ATLAS12 and SYNTHE for Stellar Spectrum Synthesis
by: Kim, Elliot M., et al.
Published: (2026)
by: Kim, Elliot M., et al.
Published: (2026)
cogsworth: A Gala of COSMIC proportions combining binary stellar evolution and galactic dynamics
by: Wagg, Tom, et al.
Published: (2024)
by: Wagg, Tom, et al.
Published: (2024)
The updated BOSZ synthetic stellar spectral library
by: Mészáros, Szabolcs, et al.
Published: (2024)
by: Mészáros, Szabolcs, et al.
Published: (2024)
Machine-learning inference of stellar properties using integrated photometric and spectroscopic data
by: Kamai, Ilay, et al.
Published: (2025)
by: Kamai, Ilay, et al.
Published: (2025)
J-PLUS: Bayesian object classification with a strum of BANNJOS
by: del Pino, A., et al.
Published: (2024)
by: del Pino, A., et al.
Published: (2024)
Large-scale time-series spectroscopy for stellar ages
by: Gruner, David, et al.
Published: (2026)
by: Gruner, David, et al.
Published: (2026)
Transferring spectroscopic stellar labels to 217 million Gaia DR3 XP stars with SHBoost
by: Khalatyan, A., et al.
Published: (2024)
by: Khalatyan, A., et al.
Published: (2024)
High-cadence stellar variability studies of RR Lyrae stars with DECam: New multi-band templates
by: Baeza-Villagra, K., et al.
Published: (2025)
by: Baeza-Villagra, K., et al.
Published: (2025)
IdentYS: A Python-Based Tool for Identifying Young Stars in Star-Forming Regions
by: Nikoghosyan, E., et al.
Published: (2025)
by: Nikoghosyan, E., et al.
Published: (2025)
A high-resolution K-band spectral atlas of massive stars
by: Kalari, V. M., et al.
Published: (2026)
by: Kalari, V. M., et al.
Published: (2026)
AtomNeb: IDL Library and Python Package for Atomic Data of Ionized Nebulae
by: Danehkar, A.
Published: (2019)
by: Danehkar, A.
Published: (2019)
A self-consistent data-driven model for determining stellar parameters from optical and near-IR spectra
by: Sizemore, Logan, et al.
Published: (2024)
by: Sizemore, Logan, et al.
Published: (2024)
DAWN. I. Simulating the formation and early evolution of stellar clusters with Phantom N-Body
by: Bernard, Yann, et al.
Published: (2025)
by: Bernard, Yann, et al.
Published: (2025)
pyTANSPEC v1.0 and HxRGproc: Updated packages to Clean and Reduce TANSPEC data
by: Reji, Varghese, et al.
Published: (2026)
by: Reji, Varghese, et al.
Published: (2026)
pyEQUIB Python Package, an addendum to proEQUIB: IDL Library for Plasma Diagnostics and Abundance Analysis
by: Danehkar, A.
Published: (2024)
by: Danehkar, A.
Published: (2024)
PySME v1.0: improved modelling of stellar spectra for survey-scale applications
by: Jian, Mingjie, et al.
Published: (2026)
by: Jian, Mingjie, et al.
Published: (2026)
Inferring stellar parameters and their uncertainties from high-resolution spectroscopy using invertible neural networks
by: Candebat, Nils, et al.
Published: (2024)
by: Candebat, Nils, et al.
Published: (2024)
HST Survey of the Orion Nebula Cluster in ACS/Visible and WFC3/IR Bands. IV. A Bayesian multi-wavelength study of stellar parameters in the ONC
by: Strampelli, Giovanni M., et al.
Published: (2024)
by: Strampelli, Giovanni M., et al.
Published: (2024)
A method to derive self-consistent NLTE astrophysical parameters for 4 million high-resolution 4MOST stellar spectra in half a day with invertible neural networks
by: Ksoll, Victor F., et al.
Published: (2026)
by: Ksoll, Victor F., et al.
Published: (2026)
Secular aberration drift in stellar proper motions: An additional term due to the change in line-of-sight direction
by: Liu, Niu, et al.
Published: (2024)
by: Liu, Niu, et al.
Published: (2024)
Dissecting stellar populations with manifold learning I. Validation of the method on a synthetic Milky Way-like galaxy
by: Neitzel, A. W., et al.
Published: (2025)
by: Neitzel, A. W., et al.
Published: (2025)
tonalli: an asexual genetic code to characterise APOGEE-2 stellar spectra. I. Validation with synthetic and solar spectra
by: Adame, Lucía, et al.
Published: (2024)
by: Adame, Lucía, et al.
Published: (2024)
Towards model-free stellar chemical abundances. Potential applications in the search for chemically peculiar stars in large spectroscopic surveys
by: Signor, Theosamuele, et al.
Published: (2025)
by: Signor, Theosamuele, et al.
Published: (2025)
Closing the stellar labels gap: Stellar label independent evidence for [$α/M$] information in Gaia BP/RP spectra
by: Laroche, Alexander, et al.
Published: (2024)
by: Laroche, Alexander, et al.
Published: (2024)
How to use Gaia parallaxes for stars with poor astrometric fits
by: El-Badry, Kareem
Published: (2025)
by: El-Badry, Kareem
Published: (2025)
On the use of field RR Lyrae as Galactic probes VII. light curve templates in the LSST photometric system
by: Braga, V. F., et al.
Published: (2024)
by: Braga, V. F., et al.
Published: (2024)
Spectral classification of young stars using conditional invertible neural networks II. Application to Trumpler 14 in Carina
by: Kang, Da Eun, et al.
Published: (2025)
by: Kang, Da Eun, et al.
Published: (2025)
Why the northern hemisphere needs a 30-40 m telescope and the science at stake: Massive stars in spiral galaxies
by: Apellániz, J. Maíz, et al.
Published: (2025)
by: Apellániz, J. Maíz, et al.
Published: (2025)
Similar Items
-
Optimized sampling of SDSS-IV MaStar spectra for stellar classification using supervised models
by: El-Kholy, R. I., et al.
Published: (2024) -
Dusty stellar sources classification by implementing machine learning methods based on spectroscopic observations in the Magellanic Clouds
by: Ghaziasgar, Sepideh, et al.
Published: (2025) -
A Random Forest spectral classification of the Gaia 500-pc white dwarf population
by: Zamora, Enrique Miguel García, et al.
Published: (2025) -
Barbá 2: A new supergiant-rich Galactic stellar cluster
by: Apellániz, J. Maíz, et al.
Published: (2024) -
Spectral classification
by: Apellániz, J. Maíz, et al.
Published: (2024)