{ "name": "Radio Source Classification Tree", "description": "A decision tree for classifying radio sources based on morphology and flux metrics.", "version": "1.0", "parameters": { "SNR": "Peak / Error, used in SNR detection", "DC_Maj_arcsec": "Major axis of detected component in arcseconds", "BMAJ_arcsec": "Beam major axis in arcseconds", "Flux_Ratio": "Ratio of core to total flux", "Offset_Ratio": "Offset between peak and center normalized by beam size", "Peak_Offset_Arcsec": "Physical offset of peak from center" }, "decision_tree": [ { "step": 1, "condition": "SNR < 5.0", "description": "Check if signal-to-noise ratio is low", "if_true": "Classification: Noise", "if_false": "Go to step 2" }, { "step": 2, "condition": "DC_Maj_arcsec <= 1.5 * BMAJ_arcsec", "description": "Check if source is compact (size ≤ 1.5 × beam)", "if_true": "Classification: Compact", "if_false": "Go to step 3" }, { "step": 3, "condition": "Offset_Ratio <= 0.3 OR Flux_Ratio > 0.5", "description": "FR classification: core-dominated or high-flux ratio", "if_true": "Classification: FR I (core bright / core dominant)", "if_false": "Classification: FR II (edge-brightened / double-lobed)" } ], "classification_mapping": { "Noise": "低信噪比,无法分辨真实源", "Compact": "尺寸小,致密源", "FR I": "核心主导型,可能为爆发或活动星系核", "FR II": "边缘增亮型,双瓣结构,典型射电星系" }, "references": [ { "id": "ref1", "citation": "Fanaroff, B. L., & Riley, J. M. 1974, MNRAS, 167, 31P", "description": "Original definition of the Fanaroff-Riley (FR) classification, distinguishing FR I and FR II radio galaxies based on the relative position of high-brightness regions." }, { "id": "ref2", "citation": "Best, P. N., & Heckman, T. M. 2012, MNRAS, 421, 1569", "description": "Investigates the fundamental dichotomy in the radio-AGN population (HERG vs. LERG), linking radio source evolution to accretion modes and host galaxy properties." }, { "id": "ref3", "citation": "Mingo, B., et al. 2019, MNRAS, 488, 2701", "description": "Revisits the Fanaroff-Riley dichotomy using the LOFAR Two-Metre Sky Survey (LoTSS), analyzing morphological parameters like the Concentration Index to classify complex sources." }] }