TABLES FINGERPRINT: stated eclipse hours against the real sky and the period tables (P4, P5) 556 records scored; skipped: 28 ({'chroniclers': 7, 'control': 19, 'control_images': 2}) == table: date (P4 split by date) control n 318 all {'table': 158, 'sky': 149, 'tie': 11} discriminating 83 {'sky': 47, 'table': 36} table-closer rate 0.434 median |Delta| 15.4 min control_images n 123 all {'table': 76, 'sky': 40, 'tie': 7} discriminating 33 {'table': 23, 'sky': 10} table-closer rate 0.697 median |Delta| 14.9 min bridge n 69 all {'table': 14, 'tie': 9, 'sky': 41, 'n/a': 5} discriminating 4 {'table': 2, 'sky': 2} table-closer rate 0.5 median |Delta| 10.9 min chroniclers n 46 all {'sky': 20, 'table': 18, 'tie': 8} discriminating 1 {'tie': 1} table-closer rate None median |Delta| 14.8 min other_observers n 0 all {} discriminating 0 {} table-closer rate None median |Delta| None min P5 control vs observations (verdict scores, discriminating by own precision): {'auc': 0.467, 'perm_p': 0.8120375924815036, 'n_control': 83, 'n_observations': 5} P5 control vs observations (|Delta| >= 10 min): {'auc': 0.476, 'perm_p': 0.636872625474905, 'n_control': 139, 'n_observations': 41} P5 control_images vs observations (verdict scores, discriminating by own precision): {'auc': 0.624, 'perm_p': 0.39532093581283745, 'n_control': 33, 'n_observations': 5} P5 control_images vs observations (|Delta| >= 10 min): {'auc': 0.621, 'perm_p': 0.04999000199960008, 'n_control': 50, 'n_observations': 41} rates with |Delta| >= 10 min: control {'table': 60, 'sky': 78, 'tie': 1} table-closer 0.435 rates with |Delta| >= 10 min: control_images {'sky': 15, 'table': 34, 'tie': 1} table-closer 0.694 rates with |Delta| >= 10 min: bridge {'sky': 14, 'table': 3} table-closer 0.176 rates with |Delta| >= 10 min: chroniclers {'table': 10, 'sky': 11, 'tie': 3} table-closer 0.476 rates with |Delta| >= 10 min: other_observers {} table-closer None regression y = stated - sky on x = table - sky (slope 1 = carries the table's error, 0 = does not): control {'n': 312, 'slope': 0.025, 'slope_ci95': [-0.147, 0.192], 'intercept_min': 6.4, 'r': 0.017, 'sd_x_min': 26.1} control_images {'n': 121, 'slope': 0.891, 'slope_ci95': [0.644, 1.099], 'intercept_min': 1.3, 'r': 0.685, 'sd_x_min': 19.6} bridge {'n': 62, 'slope': 0.102, 'slope_ci95': [-0.115, 0.334], 'intercept_min': 4.5, 'r': 0.102, 'sd_x_min': 18.8} chroniclers {'n': 26, 'slope': 0.267, 'slope_ci95': [-0.953, 1.455], 'intercept_min': -12.8, 'r': 0.093, 'sd_x_min': 13.0} other_observers {'n': 0} observations_all {'n': 88, 'slope': 0.281, 'slope_ci95': [0.034, 0.574], 'intercept_min': -0.9, 'r': 0.188, 'sd_x_min': 18.3} control_within_source {'n': 283, 'slope': -0.064, 'slope_ci95': [-0.269, 0.12], 'intercept_min': 0.0, 'r': -0.046, 'sd_x_min': 24.3} control_images_within_source {'n': 121, 'slope': 0.858, 'slope_ci95': [0.654, 1.045], 'intercept_min': -0.0, 'r': 0.719, 'sd_x_min': 19.0} bridge_within_source {'n': 31, 'slope': 0.282, 'slope_ci95': [-0.046, 0.708], 'intercept_min': -0.0, 'r': 0.281, 'sd_x_min': 18.9} chroniclers_within_source {'n': 0} other_observers_within_source {'n': 0} observations_all_within_source {'n': 31, 'slope': 0.282, 'slope_ci95': [-0.046, 0.708], 'intercept_min': -0.0, 'r': 0.281, 'sd_x_min': 18.9} P5_slope_diff_control_minus_observations {'diff': -0.255, 'ci95': [-0.593, 0.042], 'share_le_0': 0.9545} P5_slope_diff_control_images_minus_observations {'diff': 0.61, 'ci95': [0.251, 0.936], 'share_le_0': 0.0025} == table: closest (closest of the three: BIASED by construction (choosing the nearest table pulls every group, observations included, toward the table); shown only as a ceiling) control n 318 all {'table': 231, 'sky': 71, 'tie': 16} discriminating 82 {'table': 75, 'sky': 7} table-closer rate 0.915 median |Delta| 15.4 min control_images n 123 all {'table': 84, 'sky': 22, 'tie': 17} discriminating 28 {'table': 27, 'sky': 1} table-closer rate 0.964 median |Delta| 13.6 min bridge n 69 all {'table': 23, 'sky': 31, 'n/a': 5, 'tie': 10} discriminating 4 {'table': 4} table-closer rate 1.0 median |Delta| 10.0 min chroniclers n 46 all {'tie': 10, 'table': 24, 'sky': 12} discriminating 2 {'table': 1, 'tie': 1} table-closer rate 1.0 median |Delta| 19.0 min other_observers n 0 all {} discriminating 0 {} table-closer rate None median |Delta| None min P5 control vs observations (verdict scores, discriminating by own precision): {'auc': 0.545, 'perm_p': 0.7370525894821036, 'n_control': 82, 'n_observations': 6} P5 control vs observations (|Delta| >= 10 min): {'auc': 0.555, 'perm_p': 0.27914417116576684, 'n_control': 148, 'n_observations': 41} P5 control_images vs observations (verdict scores, discriminating by own precision): {'auc': 0.488, 'perm_p': 0.9496100779844031, 'n_control': 28, 'n_observations': 6} P5 control_images vs observations (|Delta| >= 10 min): {'auc': 0.519, 'perm_p': 0.767246550689862, 'n_control': 44, 'n_observations': 41} rates with |Delta| >= 10 min: control {'table': 129, 'sky': 17, 'tie': 2} table-closer 0.884 rates with |Delta| >= 10 min: control_images {'table': 38, 'sky': 4, 'tie': 2} table-closer 0.905 rates with |Delta| >= 10 min: bridge {'table': 7, 'sky': 4} table-closer 0.636 rates with |Delta| >= 10 min: chroniclers {'table': 18, 'sky': 8, 'tie': 4} table-closer 0.692 rates with |Delta| >= 10 min: other_observers {} table-closer None regression y = stated - sky on x = table - sky (slope 1 = carries the table's error, 0 = does not): control {'n': 312, 'slope': 0.984, 'slope_ci95': [0.826, 1.14], 'intercept_min': -0.2, 'r': 0.615, 'sd_x_min': 24.6} control_images {'n': 121, 'slope': 1.14, 'slope_ci95': [0.982, 1.291], 'intercept_min': 0.6, 'r': 0.821, 'sd_x_min': 18.4} bridge {'n': 62, 'slope': 0.529, 'slope_ci95': [0.214, 0.845], 'intercept_min': 2.9, 'r': 0.461, 'sd_x_min': 16.5} chroniclers {'n': 26, 'slope': 1.558, 'slope_ci95': [1.117, 2.033], 'intercept_min': -1.5, 'r': 0.773, 'sd_x_min': 18.4} other_observers {'n': 0} observations_all {'n': 88, 'slope': 0.956, 'slope_ci95': [0.673, 1.25], 'intercept_min': -1.1, 'r': 0.631, 'sd_x_min': 18.0} control_within_source {'n': 283, 'slope': 0.895, 'slope_ci95': [0.684, 1.095], 'intercept_min': -0.0, 'r': 0.568, 'sd_x_min': 21.5} control_images_within_source {'n': 121, 'slope': 1.092, 'slope_ci95': [0.935, 1.28], 'intercept_min': -0.0, 'r': 0.777, 'sd_x_min': 16.2} bridge_within_source {'n': 31, 'slope': 0.722, 'slope_ci95': [0.326, 1.179], 'intercept_min': 0.0, 'r': 0.537, 'sd_x_min': 14.1} chroniclers_within_source {'n': 0} other_observers_within_source {'n': 0} observations_all_within_source {'n': 31, 'slope': 0.722, 'slope_ci95': [0.326, 1.179], 'intercept_min': 0.0, 'r': 0.537, 'sd_x_min': 14.1} P5_slope_diff_control_minus_observations {'diff': 0.028, 'ci95': [-0.297, 0.355], 'share_le_0': 0.4175} P5_slope_diff_control_images_minus_observations {'diff': 0.184, 'ci95': [-0.13, 0.512], 'share_le_0': 0.127} == table: alfonsine (all records) control n 318 all {'table': 152, 'sky': 153, 'tie': 13} discriminating 64 {'sky': 42, 'table': 22} table-closer rate 0.344 median |Delta| 14.8 min control_images n 123 all {'table': 62, 'sky': 49, 'tie': 12} discriminating 22 {'table': 14, 'sky': 8} table-closer rate 0.636 median |Delta| 12.0 min bridge n 69 all {'table': 13, 'tie': 4, 'sky': 47, 'n/a': 5} discriminating 11 {'table': 1, 'sky': 10} table-closer rate 0.091 median |Delta| 18.8 min chroniclers n 46 all {'sky': 20, 'table': 18, 'tie': 8} discriminating 1 {'tie': 1} table-closer rate None median |Delta| 14.8 min other_observers n 0 all {} discriminating 0 {} table-closer rate None median |Delta| None min P5 control vs observations (verdict scores, discriminating by own precision): {'auc': 0.766, 'perm_p': 0.0023995200959808036, 'n_control': 64, 'n_observations': 12} P5 control vs observations (|Delta| >= 10 min): {'auc': 0.542, 'perm_p': 0.3619276144771046, 'n_control': 135, 'n_observations': 59} P5 control_images vs observations (verdict scores, discriminating by own precision): {'auc': 0.833, 'perm_p': 0.001799640071985603, 'n_control': 22, 'n_observations': 12} P5 control_images vs observations (|Delta| >= 10 min): {'auc': 0.658, 'perm_p': 0.009598080383923215, 'n_control': 36, 'n_observations': 59} rates with |Delta| >= 10 min: control {'sky': 84, 'table': 51} table-closer 0.378 rates with |Delta| >= 10 min: control_images {'sky': 14, 'table': 21, 'tie': 1} table-closer 0.6 rates with |Delta| >= 10 min: bridge {'sky': 30, 'table': 4, 'tie': 1} table-closer 0.118 rates with |Delta| >= 10 min: chroniclers {'table': 10, 'sky': 11, 'tie': 3} table-closer 0.476 rates with |Delta| >= 10 min: other_observers {} table-closer None regression y = stated - sky on x = table - sky (slope 1 = carries the table's error, 0 = does not): control {'n': 312, 'slope': 0.13, 'slope_ci95': [-0.046, 0.317], 'intercept_min': 5.7, 'r': 0.075, 'sd_x_min': 22.6} control_images {'n': 121, 'slope': 0.59, 'slope_ci95': [0.335, 0.817], 'intercept_min': 4.3, 'r': 0.393, 'sd_x_min': 17.0} bridge {'n': 62, 'slope': 0.176, 'slope_ci95': [0.034, 0.377], 'intercept_min': 5.1, 'r': 0.23, 'sd_x_min': 24.7} chroniclers {'n': 26, 'slope': 0.267, 'slope_ci95': [-0.953, 1.455], 'intercept_min': -12.8, 'r': 0.093, 'sd_x_min': 13.0} other_observers {'n': 0} observations_all {'n': 88, 'slope': 0.251, 'slope_ci95': [0.074, 0.47], 'intercept_min': -0.1, 'r': 0.205, 'sd_x_min': 22.3} control_within_source {'n': 283, 'slope': 0.122, 'slope_ci95': [-0.101, 0.34], 'intercept_min': 0.0, 'r': 0.072, 'sd_x_min': 19.9} control_images_within_source {'n': 121, 'slope': 0.501, 'slope_ci95': [0.261, 0.714], 'intercept_min': -0.0, 'r': 0.36, 'sd_x_min': 16.3} bridge_within_source {'n': 31, 'slope': 0.183, 'slope_ci95': [-0.178, 0.612], 'intercept_min': -0.0, 'r': 0.171, 'sd_x_min': 17.8} chroniclers_within_source {'n': 0} other_observers_within_source {'n': 0} observations_all_within_source {'n': 31, 'slope': 0.183, 'slope_ci95': [-0.178, 0.612], 'intercept_min': -0.0, 'r': 0.171, 'sd_x_min': 17.8} P5_slope_diff_control_minus_observations {'diff': -0.121, 'ci95': [-0.389, 0.145], 'share_le_0': 0.809} P5_slope_diff_control_images_minus_observations {'diff': 0.339, 'ci95': [0.022, 0.646], 'share_le_0': 0.017} == table: prutenic (all records) control n 318 all {'table': 121, 'sky': 188, 'tie': 9} discriminating 195 {'table': 75, 'sky': 120} table-closer rate 0.385 median |Delta| 30.1 min control_images n 123 all {'sky': 78, 'table': 39, 'tie': 6} discriminating 76 {'sky': 54, 'table': 22} table-closer rate 0.289 median |Delta| 22.4 min bridge n 69 all {'table': 16, 'sky': 42, 'n/a': 5, 'tie': 6} discriminating 18 {'table': 3, 'sky': 15} table-closer rate 0.167 median |Delta| 23.4 min chroniclers n 46 all {'tie': 7, 'table': 20, 'sky': 19} discriminating 4 {'sky': 2, 'table': 1, 'tie': 1} table-closer rate 0.333 median |Delta| 17.0 min other_observers n 0 all {} discriminating 0 {} table-closer rate None median |Delta| None min P5 control vs observations (verdict scores, discriminating by own precision): {'auc': 0.638, 'perm_p': 0.03179364127174565, 'n_control': 195, 'n_observations': 22} P5 control vs observations (|Delta| >= 10 min): {'auc': 0.542, 'perm_p': 0.27794441111777646, 'n_control': 259, 'n_observations': 73} P5 control_images vs observations (verdict scores, discriminating by own precision): {'auc': 0.632, 'perm_p': 0.0665866826634673, 'n_control': 76, 'n_observations': 22} P5 control_images vs observations (|Delta| >= 10 min): {'auc': 0.522, 'perm_p': 0.6342731453709258, 'n_control': 90, 'n_observations': 73} rates with |Delta| >= 10 min: control {'table': 99, 'sky': 158, 'tie': 2} table-closer 0.385 rates with |Delta| >= 10 min: control_images {'sky': 62, 'table': 26, 'tie': 2} table-closer 0.295 rates with |Delta| >= 10 min: bridge {'table': 5, 'sky': 34} table-closer 0.128 rates with |Delta| >= 10 min: chroniclers {'table': 14, 'sky': 17, 'tie': 3} table-closer 0.452 rates with |Delta| >= 10 min: other_observers {} table-closer None regression y = stated - sky on x = table - sky (slope 1 = carries the table's error, 0 = does not): control {'n': 312, 'slope': 0.184, 'slope_ci95': [0.063, 0.309], 'intercept_min': 5.2, 'r': 0.164, 'sd_x_min': 35.1} control_images {'n': 121, 'slope': 0.271, 'slope_ci95': [0.116, 0.433], 'intercept_min': 5.1, 'r': 0.297, 'sd_x_min': 27.9} bridge {'n': 62, 'slope': -0.041, 'slope_ci95': [-0.221, 0.112], 'intercept_min': 5.2, 'r': -0.059, 'sd_x_min': 27.2} chroniclers {'n': 26, 'slope': 0.327, 'slope_ci95': [-0.448, 1.188], 'intercept_min': -13.5, 'r': 0.194, 'sd_x_min': 22.0} other_observers {'n': 0} observations_all {'n': 88, 'slope': 0.142, 'slope_ci95': [-0.054, 0.355], 'intercept_min': -2.3, 'r': 0.142, 'sd_x_min': 27.2} control_within_source {'n': 283, 'slope': 0.136, 'slope_ci95': [-0.009, 0.285], 'intercept_min': 0.0, 'r': 0.124, 'sd_x_min': 30.7} control_images_within_source {'n': 121, 'slope': 0.276, 'slope_ci95': [0.151, 0.403], 'intercept_min': -0.0, 'r': 0.332, 'sd_x_min': 27.3} bridge_within_source {'n': 31, 'slope': 0.02, 'slope_ci95': [-0.238, 0.247], 'intercept_min': -0.0, 'r': 0.028, 'sd_x_min': 25.8} chroniclers_within_source {'n': 0} other_observers_within_source {'n': 0} observations_all_within_source {'n': 31, 'slope': 0.02, 'slope_ci95': [-0.238, 0.247], 'intercept_min': -0.0, 'r': 0.028, 'sd_x_min': 25.8} P5_slope_diff_control_minus_observations {'diff': 0.042, 'ci95': [-0.197, 0.287], 'share_le_0': 0.355} P5_slope_diff_control_images_minus_observations {'diff': 0.129, 'ci95': [-0.135, 0.377], 'share_le_0': 0.167} == table: rudolphine (all records) control n 318 all {'table': 160, 'sky': 148, 'tie': 10} discriminating 53 {'table': 21, 'sky': 32} table-closer rate 0.396 median |Delta| 14.0 min control_images n 123 all {'table': 57, 'sky': 57, 'tie': 9} discriminating 22 {'table': 12, 'sky': 10} table-closer rate 0.545 median |Delta| 13.6 min bridge n 69 all {'table': 14, 'sky': 44, 'n/a': 6, 'tie': 5} discriminating 2 {'sky': 2} table-closer rate 0.0 median |Delta| 11.2 min chroniclers n 46 all {'sky': 22, 'table': 19, 'tie': 5} discriminating 3 {'tie': 3} table-closer rate None median |Delta| 23.5 min other_observers n 0 all {} discriminating 0 {} table-closer rate None median |Delta| None min P5 control vs observations (verdict scores, discriminating by own precision): {'auc': 0.551, 'perm_p': 0.7242551489702059, 'n_control': 53, 'n_observations': 5} P5 control vs observations (|Delta| >= 10 min): {'auc': 0.509, 'perm_p': 0.8460307938412317, 'n_control': 120, 'n_observations': 54} P5 control_images vs observations (verdict scores, discriminating by own precision): {'auc': 0.673, 'perm_p': 0.260747850429914, 'n_control': 22, 'n_observations': 5} P5 control_images vs observations (|Delta| >= 10 min): {'auc': 0.574, 'perm_p': 0.21775644871025795, 'n_control': 44, 'n_observations': 54} rates with |Delta| >= 10 min: control {'table': 48, 'sky': 71, 'tie': 1} table-closer 0.403 rates with |Delta| >= 10 min: control_images {'table': 20, 'sky': 24} table-closer 0.455 rates with |Delta| >= 10 min: bridge {'table': 3, 'sky': 15} table-closer 0.167 rates with |Delta| >= 10 min: chroniclers {'sky': 19, 'table': 13, 'tie': 4} table-closer 0.406 rates with |Delta| >= 10 min: other_observers {} table-closer None regression y = stated - sky on x = table - sky (slope 1 = carries the table's error, 0 = does not): control {'n': 312, 'slope': -0.107, 'slope_ci95': [-0.297, 0.079], 'intercept_min': 6.4, 'r': -0.062, 'sd_x_min': 23.0} control_images {'n': 121, 'slope': 0.371, 'slope_ci95': [0.205, 0.541], 'intercept_min': 6.6, 'r': 0.269, 'sd_x_min': 18.5} bridge {'n': 62, 'slope': -0.107, 'slope_ci95': [-0.318, 0.099], 'intercept_min': 4.6, 'r': -0.106, 'sd_x_min': 18.8} chroniclers {'n': 26, 'slope': -0.167, 'slope_ci95': [-1.005, 0.688], 'intercept_min': -20.0, 'r': -0.094, 'sd_x_min': 20.9} other_observers {'n': 0} observations_all {'n': 88, 'slope': 0.11, 'slope_ci95': [-0.145, 0.396], 'intercept_min': -0.4, 'r': 0.09, 'sd_x_min': 22.4} control_within_source {'n': 283, 'slope': -0.177, 'slope_ci95': [-0.428, 0.024], 'intercept_min': -0.0, 'r': -0.11, 'sd_x_min': 21.1} control_images_within_source {'n': 121, 'slope': 0.424, 'slope_ci95': [0.297, 0.568], 'intercept_min': -0.0, 'r': 0.335, 'sd_x_min': 18.0} bridge_within_source {'n': 31, 'slope': -0.166, 'slope_ci95': [-0.453, 0.099], 'intercept_min': -0.0, 'r': -0.137, 'sd_x_min': 15.7} chroniclers_within_source {'n': 0} other_observers_within_source {'n': 0} observations_all_within_source {'n': 31, 'slope': -0.166, 'slope_ci95': [-0.453, 0.099], 'intercept_min': -0.0, 'r': -0.137, 'sd_x_min': 15.7} P5_slope_diff_control_minus_observations {'diff': -0.217, 'ci95': [-0.534, 0.066], 'share_le_0': 0.929} P5_slope_diff_control_images_minus_observations {'diff': 0.261, 'ci95': [-0.045, 0.551], 'share_le_0': 0.0485} control by period, date-appropriate table (* = discriminating): {"1551-1627": {"table": 12, "table*": 22, "sky*": 25, "sky": 8, "tie": 2}, "1628-1700": {"table": 91, "sky*": 18, "sky": 75, "table*": 12, "tie": 5}, "1470-1550": {"table": 16, "sky": 15, "sky*": 3, "tie": 3, "table*": 2}, "1701-1750": {"sky": 4, "table": 3, "tie": 1, "sky*": 1}} THE INSTRUMENT ON PRINTS WHOSE TABLE IS KNOWN (each against its own validated table; modern meridian; both time conventions): regiomontanus_kalendarium alfonsine verdicts {'table': 36, 'sky': 17, 'tie': 6} (|Delta|>=10: {'sky': 3, 'table': 11, 'tie': 1}) regression {'n': 58, 'slope': 0.983, 'slope_ci95': [0.886, 1.074], 'intercept_min': 5.2, 'r': 0.836, 'sd_x_min': 16.0} stoeffler_pflaum alfonsine verdicts {'table': 9, 'sky': 5} (|Delta|>=10: {'table': 1, 'sky': 1}) regression {'n': 14, 'slope': 0.963, 'slope_ci95': [0.831, 1.092], 'intercept_min': 7.7, 'r': 0.974, 'sd_x_min': 11.7} leovitius_peurbach alfonsine verdicts {'sky': 2, 'table': 4, 'tie': 1} (|Delta|>=10: {'table': 2}) regression {'n': 7, 'slope': 1.451, 'slope_ci95': [0.913, 1.782], 'intercept_min': -9.0, 'r': 0.963, 'sd_x_min': 15.0} maestlin prutenic verdicts {'table': 11, 'sky': 8} (|Delta|>=10: {'table': 10, 'sky': 6}) regression {'n': 19, 'slope': 1.072, 'slope_ci95': [0.909, 1.314], 'intercept_min': -17.6, 'r': 0.817, 'sd_x_min': 30.7} kepler_ephemerides rudolphine verdicts {'sky': 4, 'table': 13} (|Delta|>=10: {'table': 6, 'sky': 1}) regression {'n': 16, 'slope': 1.088, 'slope_ci95': [0.985, 1.195], 'intercept_min': 2.1, 'r': 0.979, 'sd_x_min': 11.2} BY SOURCE (6+ clock-hour records): slope b of (stated - sky) on (table - sky), with 95% bootstrap CI and r, against each table: control andrews_in_great_prophecies_1689 1689-1689 alfo b 1.874 [0.234, 2.385] r 0.89 n 8 prut b -0.017 [-0.435, 0.249] r -0.038 n 8 rudo b 0.046 [-0.485, 0.329] r 0.083 n 8 control billy_prognostication_1603_1610 1603-1610 alfo b 0.636 [-0.461, 2.247] r 0.34 n 12 prut b 0.848 [0.366, 1.159] r 0.754 n 12 rudo b -1.286 [-2.475, -0.057] r -0.452 n 12 control gadbury_animal_cornutum_1654 1654-1666 alfo b -0.638 [-1.252, 0.882] r -0.433 n 14 prut b -0.209 [-1.076, 0.537] r -0.169 n 14 rudo b -0.712 [-2.069, 0.574] r -0.488 n 14 control grapheus_prognostication_1598 1598-1598 alfo b 0.5 [-1.141, 1.21] r 0.325 n 8 prut b -0.004 [-0.252, 0.301] r -0.01 n 8 rudo b -0.454 [-1.335, 0.097] r -0.458 n 8 control holwell_catastrophe_mundi_1683_1700 1683-1700 alfo b 0.174 [-0.165, 0.506] r 0.12 n 36 prut b 0.26 [-0.107, 0.67] r 0.207 n 36 rudo b -0.087 [-0.766, 0.278] r -0.062 n 36 control kalender_of_shepherds_1570 1563-1605 alfo b 0.786 [-0.21, 1.594] r 0.226 n 38 prut b -0.141 [-0.707, 0.363] r -0.084 n 38 rudo b -0.035 [-0.83, 0.738] r -0.013 n 38 control_images kepler_ephemerides 1629-1636 alfo b 0.25 [-0.062, 0.474] r 0.407 n 16 prut b 0.229 [0.03, 0.371] r 0.559 n 16 rudo b 1.088 [0.987, 1.197] r 0.979 n 16 control_images leovitius_own 1556-1569 alfo b 0.768 [-0.452, 1.388] r 0.538 n 7 prut b -0.081 [-0.531, 2.305] r -0.086 n 7 rudo b 0.753 [-1.227, 1.454] r 0.563 n 7 control_images leovitius_peurbach 1556-1569 alfo b 1.451 [0.818, 1.79] r 0.963 n 7 prut b 0.038 [-0.498, 2.687] r 0.038 n 7 rudo b 0.279 [-1.41, 1.522] r 0.199 n 7 control livie_bloody_almanack_1659 1659-1659 alfo b 0.317 [0.235, 0.476] r 0.896 n 8 prut b 0.245 [0.129, 0.817] r 0.691 n 8 rudo b 0.013 [-0.696, 0.952] r 0.021 n 8 control_images maestlin 1577-1590 alfo b -0.913 [-1.882, -0.08] r -0.397 n 19 prut b 1.072 [0.904, 1.308] r 0.817 n 19 rudo b 1.231 [0.168, 2.72] r 0.376 n 19 control paterson_edinburgh_almanack_1683 1683-1683 alfo b -2.553 [-3.514, -0.864] r -0.871 n 7 prut b 1.456 [-1.295, 6.325] r 0.845 n 7 rudo b -1.448 [-7.654, -0.479] r -0.517 n 7 bridge regiomontanus 1457-1464 alfo b 0.742 [-0.894, 3.755] r 0.433 n 7 prut b -0.452 [-1.773, 1.222] r -0.275 n 7 rudo b -0.569 [-4.186, 0.52] r -0.249 n 7 control_images regiomontanus_kalendarium 1475-1530 alfo b 0.983 [0.883, 1.074] r 0.836 n 58 prut b 0.07 [-0.077, 0.22] r 0.101 n 58 rudo b 0.325 [0.183, 0.462] r 0.369 n 58 control seller_atlas_caelestis_catalogue_1677_1700 1677-1699 alfo b 0.496 [0.185, 0.867] r 0.559 n 19 prut b -0.107 [-0.52, 0.241] r -0.151 n 19 rudo b -0.198 [-0.778, 0.365] r -0.185 n 19 control sliter_celestiall_glasse_1652 1652-1652 alfo b 0.639 [0.397, 0.972] r 0.759 n 13 prut b 0.253 [0.185, 0.303] r 0.904 n 13 rudo b 0.294 [0.055, 0.47] r 0.609 n 13 control_images stoeffler_pflaum 1500-1530 alfo b 0.963 [0.829, 1.092] r 0.974 n 14 prut b -0.068 [-0.461, 0.135] r -0.142 n 14 rudo b 0.1 [-0.281, 0.415] r 0.15 n 14 bridge walther 1478-1504 alfo b -0.109 [-1.018, 0.484] r -0.189 n 5 prut b 0.054 [-0.264, 0.637] r 0.188 n 5 rudo b -0.217 [-1.262, 0.438] r -0.473 n 5 control zacut_hibbur_lunar_1475_1523 1475-1523 alfo b 0.517 [0.055, 0.806] r 0.43 n 30 prut b -0.069 [-0.345, 0.134] r -0.094 n 30 rudo b -0.036 [-0.504, 0.257] r -0.035 n 30 OBSERVATION RECORDS that discriminate (date-appropriate table): table bridge regiomontanus 1460 moon mid stated 20.22 (clock_local) d_sky 46.5 d_alfo 0.8 Delta -32.2 sky bridge rs_burroughs 1725 moon totality_end stated 19.52 (clock_local) d_sky 1.9 d_rudo 25.4 Delta +54.0 table bridge kepler 1600 sun mid stated 14.27 (clock_local) d_sky 23.9 d_prut 13.3 Delta +43.4 sky bridge kepler 1601 sun mid stated 14.85 (clock_local) d_sky 4.4 d_prut 40.5 Delta -35.4 tie chroniclers lanercost 1312 sun mid stated 2.50 (seasonal_day_span) d_sky 0.0 d_alfo 0.0 Delta -20.8