1.5k citations
- Centre National de la Recherche ScientifiqueFR17 papers
- Space Telescope Science InstituteUS14 papers
- California Institute of TechnologyUS11 papers
- Leiden UniversityNL11 papers
- Max Planck Institute for AstronomyDE11 papers
- University of MichiganUS11 papers
- George Washington UniversityUS10 papers
- The University of Texas at AustinUS10 papers
- Université Bourgogne Franche-ComtéFR10 papers
- University of ArizonaUS10 papers
- University of HoustonUS9 papers
- Center for Astrophysics Harvard & SmithsonianUS8 papers
22 papers · 1 filter
Neutron star heating vs. HST observations
Luis E. Rodríguez, Andreas Reisenegger, Denis González-Caniulef +5
Passively cooling neutron stars (NSs) should reach undetectably low surface temperatures K in less than yr. However, HST observations have revealed likely thermal…
Interstellar medium phases and abundances in the central parsec: A JWST MIRI/MRS view of the Galactic center
P. Vermot, A. Ciurlo, D. Rouan +8
We used newly obtained observations from the Mid-Infrared Instrument (MIRI) equipped with the Medium Resolution Spectrometer (MRS) aboard the James Webb Space Telescope (JWST) to e…
Fractional Logistic Growth with Memory Effects: A Tool for Industry-Oriented Modeling
M. O. Aibinu, A. Shoukat, F. M. Mahomed
The logistic growth model is a classical framework for describing constrained growth phenomena, widely applied in areas such as population dynamics, epidemiology, and resource mana…
Variability of the DG Tau Forbidden Emission Line Low Velocity Component
Noah Otten, Emma Whelan, Yu-Ru Chou +3
Optical Forbidden Emission Lines (FELs) come from transitions with long radiative decay times needing low density gas where collisions between atoms are rare. They are produced in…
Low-Cost Sensor Fusion Framework for Organic Substance Classification and Quality Control Using Classification Methods
Borhan Uddin Chowdhury, Damian Valles, Md Raf E Ul Shougat
We present a sensor-fusion framework for rapid, non-destructive classification and quality control of organic substances, built on a standard Arduino Mega 2560 microcontroller plat…
Tabular Data with Class Imbalance: Predicting Electric Vehicle Crash Severity with Pretrained Transformers (TabPFN) and Mamba-Based Models
Shriyank Somvanshi, Pavan Hebli, Gaurab Chhetri +1
This study presents a deep tabular learning framework for predicting crash severity in electric vehicle (EV) collisions using real-world crash data from Texas (2017-2023). After fi…