arXiv:2603.24323v1 Announce Type: cross
Abstract: We present an innovative, cost-effective framework integrating laboratory Hyperspectral Imaging (HSI) of the Bechar010 Lunar meteorite with ground-based lunar HSI and supervised Machine Learning(ML) to…
arXiv:2512.23138v2 Announce Type: replace-cross
Abstract: Attenuation bias — the systematic underestimation of regression coefficients due to measurement errors in input variables — affects astronomical data-driven models. For linear regression, thi…
arXiv:2603.23899v1 Announce Type: cross
Abstract: We present SM-Net, a machine-learning model that learns a continuous spectral manifold from multiple high-resolution stellar libraries. SM-Net generates stellar spectra directly from the fundamental st…