Copertina

Explainable machine learning classification of \textit{Chandra} X-ray sources: SHAP analysis of multi-wavelength features

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Kumaran, Shivam, Mandal, Samir, Bhattacharyya, Sudip
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Instrumentation and Methods for Astrophysics High Energy Astrophysical Phenomena
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Comparative analysis of machine learning techniques for feature selection and classification of Fast Radio Bursts
di: Júnior, Ailton J. B., et al.
Pubblicazione: (2025)

X-ray transients in the Chandra archive: Introducing the cumulative distribution discriminator (CuDiDi)
di: Saathoff, I., et al.
Pubblicazione: (2026)

Revised classification of the CHIME fast radio bursts with machine learning
di: Liu, Liang, et al.
Pubblicazione: (2025)

SAUNAS I: Searching for Low Surface Brightness X-ray Emission with Chandra/ACIS
di: Borlaff, Alejandro S., et al.
Pubblicazione: (2024)

Probing properties of nearly two-hundred new active galactic nuclei
di: Ghosh, Samrat, et al.
Pubblicazione: (2024)

Methods of machine learning for the analysis of cosmic rays mass composition with the KASCADE experiment data
di: Kuznetsov, M. Yu., et al.
Pubblicazione: (2023)

Classification of Fermi-LAT unassociated sources with machine learning in the presence of dataset shifts
di: Malyshev, Dmitry V.
Pubblicazione: (2024)

Enhancing searches for astrophysical neutrino sources in IceCube with machine learning and improved spatial modeling
di: Seen, Leo, et al.
Pubblicazione: (2025)

Blind source separation for decomposing X-ray pulsar profiles. Introducing phase-correlated variability analysis (PCVA) with a case study of Cen X-3
di: Saathoff, Inga, et al.
Pubblicazione: (2024)

The Chandra Source Catalog Release 2 Series
di: Evans, Ian N., et al.
Pubblicazione: (2024)

Predictability of bursts of a recurrent nova using topological data analysis and machine learning
di: Morales-Gil, Ignacio
Pubblicazione: (2025)

GOPREAUX I: Open-source Code and Data to Model Multi-wavelength Emission of Extragalactic Transients using Gaussian Processes
di: Pellegrino, C., et al.
Pubblicazione: (2026)

A general relativistic hydrodynamic simulation code for studying advective, sub-Keplerian accretion flow onto black holes
di: Garain, Sudip K
Pubblicazione: (2025)

Advancing Precision Particle Background Estimation for Future X-ray Missions: Correlated Variability between AMS and Chandra/XMM-Newton
di: Sarkar, Arnab, et al.
Pubblicazione: (2024)

Anomaly detection in Fink. I. Discovery, follow-up, and classification of unusual sources
di: Pruzhinskaya, M. V., et al.
Pubblicazione: (2026)

nDspec: a new Python library for modelling multi-dimensional datasets in X-ray astronomy
di: Lucchini, Matteo, et al.
Pubblicazione: (2025)

Machine learning classification of baseband data of CHIME FRBs
di: Madheshwaran, Mohanraj, et al.
Pubblicazione: (2025)

SRG/ART-XC all-sky X-ray survey: Catalog of sources detected during the first five surveys
di: Sazonov, S., et al.
Pubblicazione: (2024)

The data analysis pipeline for the Microchannel X-ray Telescope on board the SVOM mission
di: Maggi, P., et al.
Pubblicazione: (2026)

Hard X-ray and gamma-ray detectors
di: Tatischeff, Vincent, et al.
Pubblicazione: (2024)

Probing the accretion geometry of black hole X-ray binaries: A multi-mission spectro-polarimetric and timing study
di: Majumder, Seshadri, et al.
Pubblicazione: (2025)

Simulation of non X-ray background for the DIffuse X-ray Explorer (DIXE) mission
di: Tian, Ruixuan, et al.
Pubblicazione: (2026)

Sensipy: simulate gamma-ray observations of transient astrophysical sources
di: Green, Jarred G., et al.
Pubblicazione: (2026)

Astronomical X-ray Polarimetry as a diagnostic for questions of fundamental Physics. What we learned from the Imaging X-Ray Polarimetry Explorer (IXPE)
di: Soffitta, Paolo, et al.
Pubblicazione: (2024)

Finding radio transients with anomaly detection and active learning based on volunteer classifications
di: Andersson, Alex, et al.
Pubblicazione: (2024)

$\textit{Kilonova Seekers}$: the GOTO project for real-time citizen science in time-domain astrophysics
di: Killestein, T. L., et al.
Pubblicazione: (2024)

Denoising radio pulses from air showers using machine-learning methods
di: Benoit-Lévy, Aurélien, et al.
Pubblicazione: (2025)

Diffuse X-ray Explorer: a high-resolution X-ray spectroscopic sky surveyor on the China Space Station
di: Jin, Hai, et al.
Pubblicazione: (2024)

Optimal Summary Statistics for X-ray Polarization
di: Heyl, Jeremy, et al.
Pubblicazione: (2023)

Polarized X-rays Correlated with Short--Timescale Variability of Cygnus X-1
di: Ninoyu, Kaito, et al.
Pubblicazione: (2024)

The unusual events in X-ray emulsion chamber experiments
di: Pyatovsky, S. E.
Pubblicazione: (2024)

Curved detectors for future X-ray astrophysics missions
di: Miller, Eric D., et al.
Pubblicazione: (2024)

Variability of extragalactic X-ray jets on kiloparsec scales
di: Meyer, Eileen T., et al.
Pubblicazione: (2023)

The Need for Ultra High Resolution X-ray Imaging
di: Weaver, Kimberly A., et al.
Pubblicazione: (2026)

Unfolding X-ray Spectral Data: Conditions and Applications
di: Gunderson, Sean J., et al.
Pubblicazione: (2024)

Neutron star envelopes with machine learning: a single-hidden-layer neural network application
di: Kovlakas, K., et al.
Pubblicazione: (2025)

Machine learning reconstruction of cosmic ray parameters in EAS at HAWC
di: Jaimes, J., et al.
Pubblicazione: (2025)

X-Sifter: detecting transients in X-ray data using the optimal Poisson matched filter
di: Soumagnac, Maayane T., et al.
Pubblicazione: (2024)

NinjaSat: Astronomical X-ray CubeSat Observatory
di: Tamagawa, Toru, et al.
Pubblicazione: (2024)

The GRINTA hard X-ray mission: an Explorer of the Transient Sky
di: Rodi, James, et al.
Pubblicazione: (2025)