ML - FArSide Trained Active Region Recognition (FASTARR) DataSet

These datasets are used for training the FArSide Trained Active Region Recognition (FASTARR) ML-model, which aims to improve active region (AR) identification on the Sun's far hemisphere. It comprises of far-side helioseismic phase-shift maps and corresponding AR masks. 1. Data Sources 1.1. Helioseismic Phase-Shift Maps: - Generated by the National Solar Observatory’s (NSO) Global Oscillation Network Group (GONG). - Represent 24-hour averaged observations at a 6-hour cadence. - Provided in longitude and sin(latitude) coordinates with a spatial resolution of 0.72°/pixel (longitude) and 0.01/pixel (sin(latitude)). 1.2. Far-Side EUV/304 Å Observations: - Obtained from the Solar TErrestrial RElations Observatory/Extreme UltraViolet Imager (STEREO/EUVI). - Used as a ground truth reference for far-side AR detection. 1.3. AR Masks: - GONG-derived AR masks: Created using helioseismic phase-shift measurements. - EUV/AR masks: Generated from STEREO/EUVI observations. - Both mask types are validated and cross-referenced for spatial and temporal consistency. 2. Dataset Pre-processing & Filtering - The dataset spans from May 2010 to May 2016, corresponding to the far-side observational limits of STEREO satellites. - Raw Data Filtering: - Excluded datasets with partial far-side coverage or data artifacts. - Reduced the dataset to 2,381 high-quality pairs (from an initial 3,057 pairs). - Image Processing: - All maps are centered on the far-side central meridian. - Cropped to exclude off-limb regions. - Resized to 256 × 256 pixels, with interpolation of missing polar data. - Ensured consistency in format for machine learning training.本数据集用于训练远侧训练活动区识别（FArSide Trained Active Region Recognition, FASTARR）机器学习模型，该模型旨在提升对太阳远半球活动区（Active Region, AR）的识别精度。数据集包含远侧日震相移图与对应的活动区掩膜。 1. 数据来源 1.1 日震相移图 - 由国家太阳天文台（National Solar Observatory, NSO）下属的全球振荡网络组（Global Oscillation Network Group, GONG）生成。 - 采用6小时时间步长，对应24小时平均观测数据。 - 采用经度与sin(纬度)坐标体系，空间分辨率为：经度方向0.72°/像素，sin(纬度)方向0.01/像素。 1.2 远侧极紫外/304埃观测数据 - 数据源自日地关系天文台/极紫外成像仪（Solar TErrestrial RElations Observatory/Extreme UltraViolet Imager, STEREO/EUVI）。 - 该数据被用作远侧活动区（AR）检测的真值参考基准。 1.3 活动区掩膜 - 基于GONG的活动区掩膜：通过日震相移测量结果生成。 - 极紫外活动区掩膜：由STEREO/EUVI观测数据生成。 - 两类掩膜均经过验证，并通过交叉比对确保空间与时间一致性。 2. 数据集预处理与筛选 本数据集的时间范围为2010年5月至2016年5月，与STEREO卫星的远侧观测时限相匹配。 - 原始数据筛选： - 剔除了远侧覆盖不完整或存在数据伪影的数据集。 - 从初始的3057组数据对中筛选出2381组高质量数据对。 - 图像处理： - 所有图像均以远侧中央子午线为中心。 - 裁剪掉日面边缘以外的区域。 - 调整尺寸至256×256像素，并对缺失的极区数据进行插值补全。 - 确保所有数据格式统一，以适配机器学习训练需求。