Embedded newform data - 253.3.c.a.208.31

Formats: - HTML - YAML - JSON - 2025-01-10T07:19:08.233573

• mf_newforms •

  Column	Type
  Nk2	integer
  analytic_conductor	double precision
  analytic_rank	smallint
  analytic_rank_proved	boolean
  artin_degree	integer
  artin_field	numeric[]
  artin_field_label	text
  artin_image	text
  atkin_lehner_eigenvals	integer[]
  atkin_lehner_string	text
  char_conductor	integer
  char_degree	integer
  char_is_minimal	boolean
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  cm_discs	integer[]
  conrey_index	integer
  dim	integer
  embedded_related_objects	text[]
  field_disc	numeric
  field_disc_factorization	numeric[]
  field_poly	numeric[]
  field_poly_is_cyclotomic	boolean
  field_poly_is_real_cyclotomic	boolean
  field_poly_root_of_unity	integer
  fricke_eigenval	smallint
  has_non_self_twist	smallint
  hecke_cutters	jsonb
  hecke_orbit	integer
  hecke_orbit_code	bigint
  hecke_ring_generator_nbound	integer
  hecke_ring_index	numeric
  hecke_ring_index_factorization	numeric[]
  hecke_ring_index_proved	boolean
  inner_twist_count	integer
  inner_twists	integer[]
  is_cm	boolean
  is_largest	boolean
  is_maximal	boolean
  is_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  minimal_twist	text
  nf_label	text
  prim_orbit_index	smallint
  projective_field	numeric[]
  projective_field_label	text
  projective_image	text
  projective_image_type	text
  qexp_display	text
  related_objects	text[]
  relative_dim	integer
  rm_discs	integer[]
  sato_tate_group	text
  self_twist_discs	integer[]
  self_twist_type	smallint
  space_label	text
  trace_display	numeric[]
  trace_hash	bigint
  trace_moments	numeric[]
  trace_zratio	numeric
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 2277, 'analytic_conductor': 6.893750688315512, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 11, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 2, 'char_parity': -1, 'char_values': [253, 2, [24, 166], [1, 2]], 'cm_discs': [], 'conrey_index': 208, 'dim': 44, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 137489285373, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 11, 2, -1, 2, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '253.3.c.a', 'level': 253, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [11, 23], 'level_radical': 253, 'minimal_twist': '253.3.c.a', 'prim_orbit_index': 2, 'related_objects': [], 'relative_dim': 44, 'rm_discs': [], 'sato_tate_group': '2.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '253.3.c', 'trace_display': [0, 8, 0, 0], 'traces': [44, 0, 8, -88, 0, 0, 0, 0, 100, 0, 0, 0, 0, 8, -8, 72, 0, 0, 0, -40, 0, -76, 0, 0, 268, -40, 32, 0, 0, 0, 72, 0, -90, 60, 0, -312, 4, 40, 0, 0, 0, 12, 0, 186, -180, 0, -72, 252, -464, 0, 0, 0, 100, 0, -48, 208, 0, -148, -144, -324, 0, 0, 0, -416, 0, -238, 292, 0, 0, 540, 544, 0, 0, 0, -236, 0, 64, -344, 0, 156, -404, 72, 0, 0, 0, -136, 0, 608, -80, 0, -4, 0, -372, 0, 0, 0, 68, 0, 494, -124, 0, 1084, 148, 456, 0, 0, 0, 224, 0, -600, -176, 0, -1200, 172, 0, 0, 0, 0, 528, 0, -52, 504, 0, 12, -612, -32, 0, 0, 0, -76, 0, -500, 196, 0, -132, -392, 1328, 0, 0, 0, 200, 0, -298, -1344, 0, -120, -568, 556, 0, 0, 0, -372, 0, 1140, -1560, 0, -104, 1328, -620, 0, 0, 0, -100, 0, -164, -468, 0, -692, 364, -464, 0, 0, 0, -352, 0, -796, 284, 0, 820, -180, -1072, 0, 0, 0, -880, 0, 988, 636, 0, 1112, 1008, 500, 0, 0, 0, 904, 0, -498, 1408, 0, 560, -64, -552, 0, 0, 0, -368, 0, -640, 2412, 0, 1176, -404, -2212, 0, 0, 0, 1320, 0, -860, 1432, 0, -532, -1516, 2108, 0, 0, 0, -644, 0, 752, 1504, 0, -700, -588, 304, 0, 0, 0, 1500, 0, 512, 496, 0, -1048, 1760, 852, 0, 0, 0, 648, 0, 92, -920, 0, 776, -8, -3108, 0, 0, 0, 1200, 0, 362, -92, 0, -24, -2616, 68, 0, 0, 0, 1436, 0, -336, 0, 0, -256, 740, -1812, 0, 0, 0, -5168, 0, -1442, -2184, 0, -2316, -2332, 1356, 0, 0, 0, -1168, 0, -766, -1552, 0, -1848, -916, -172, 0, 0, 0, 1188, 0, 1520, -1280, 0, 876, 2812, 552, 0, 0, 0, -160, 0, 606, 1948, 0, -552, 1228, 3052, 0, 0, 0, -2168, 0, 560, -1424, 0, 488, 1008, 936, 0, 0, 0, 1620, 0, -418, -4856, 0, 1196, 0, 1620, 0, 0, 0, 5160, 0, -1154, -788, 0, 1444, -1292, 608, 0, 0, 0, -988, 0, -2064, 164, 0, -2548, 3096, 736, 0, 0, 0, -336, 0, 3456, 1184, 0, 3176, -1220, -2928, 0, 0, 0, -2836, 0, 2188, 1348, 0, -1576, 1416, 3728, 0, 0, 0, -1912, 0, 1818, 480, 0, 2532, -4448, -2684, 0, 0, 0, -2740, 0, 1532, -3180, 0, 3008, 288, 3588, 0, 0, 0, -828, 0, -1876, 1900, 0, 1204, 3428, -4792, 0, 0, 0, -2116, 0, -3274, -6456, 0, -4776, 1448, -1248, 0, 0, 0, 1812, 0, 1868, 2140, 0, 1248, 284, 2736, 0, 0, 0, 584, 0, 322, 5744, 0, -1424, -200, -3256, 0, 0, 0, -1288, 0, -1268, -508, 0, 804, 2888, -680, 0, 0, 0, 7792, 0, -3316, 4932, 0, -1636, 2900, 3692, 0, 0, 0, -3924, 0, 1768, 4016, 0, -432, 924, -1876, 0, 0, 0, 3008, 0, -2272, 4856, 0, 1840, -940, -5340, 0, 0, 0, 3004, 0, 460, -2140, 0, 1384, -4192, -4140, 0, 0, 0, 2088, 0, 714, -1468, 0, 6876, -2624, 1280, 0, 0, 0, 4644, 0, -3122, 1012, 0, -5768, -6720, -2196, 0, 0, 0, -5768, 0, 1612, -2464, 0, -6088, -5252, 4712, 0, 0, 0, -172, 0, -5616, -1452, 0, 2120, -1696, -2560, 0, 0, 0, 2420, 0, 4048, 6564, 0, -2380, 2996, -2952, 0, 0, 0, -4032, 0, 1092, -1816, 0, 184, 2048, 3144, 0, 0, 0, -2612, 0, 996, -724, 0, -1212, -1072, 12612, 0, 0, 0, 2336, 0, 5214, -6804, 0, -7836, 0, 2216, 0, 0, 0, 6916, 0, -2924, 1712, 0, 2072, 2056, 1016, 0, 0, 0, -1608, 0, -4728, -4468, 0, -836, 7728, 552, 0, 0, 0, 2724, 0, 5124, -6232, 0, 5688, -2880, -4440, 0, 0, 0, -8408, 0, 2622, 9544, 0, -3932, -168, 2824, 0, 0, 0, -212, 0, 2112, -4648, 0, 1556, -3776, -8192, 0, 0, 0, -4836, 0, 3176, -732, 0, 7228, 10196, 7940, 0, 0, 0, -9580, 0, -1304, -10488, 0, -1092, -1992, -9256, 0, 0, 0, 3044, 0, -5422, -4124, 0, -4160, -9852, -5660, 0, 0, 0, 1776, 0, 4312, 7348, 0, 9976, -2304, 6228, 0, 0, 0, 1640, 0, 2620, 12724, 0, -2024, 5280, -76, 0, 0, 0, -1472, 0, -2948, -680, 0, 560, -4684, 616, 0, 0, 0, 13800, 0, -10384, 1096, 0, 2380, 5968, 4644, 0, 0, 0, -8960, 0, -2880, 7972, 0, 3244, -3052, -456, 0, 0, 0, -44, 0, -1772, -2112, 0, 256, 7460, 2264, 0, 0, 0, 2148, 0, -598, -4384, 0, 13588, -1580, -13376, 0, 0, 0, 7864, 0, -1008, -48, 0, 1384, -2308, -732, 0, 0, 0, 11136, 0, -2458, 184, 0, -7456, -4324, 3216, 0, 0, 0, -16660, 0, 1238, -2708, 0, -8728, -3952, 7476, 0, 0, 0, -4652, 0, -4498, 1476, 0, -3688, 5976, -7744, 0, 0, 0, 8352, 0, 10408, 892, 0, 608, 7208, 2700, 0, 0, 0, -5904, 0, 1962, -3780, 0, 1288, 6200, 1228, 0, 0, 0, -14648, 0, 3860, -4892, 0, -4020, 1808, 10888, 0, 0, 0, 6604, 0, 6116, -8132, 0, -13652, 0, -9176, 0, 0, 0, 12492, 0, -798, 3136, 0, -2212, 116, 1500, 0, 0, 0, 6272, 0, -6288, 1312, 0, -7468, 4640, 2024, 0, 0, 0, 11712, 0, 10312, -6248, 0, 5332, -5308, -16252, 0, 0, 0, -6076, 0, 3080, 10256, 0, -7296, 5244, 16832, 0, 0, 0, -12928, 0, 3910, 4340, 0, 88, -6136, 2140, 0, 0, 0, -11344, 0, 1576, -2544, 0, 11376, 8848, 2672, 0, 0, 0, -10528, 0, -3916, -7324, 0, 5760, -7668, -10064, 0, 0, 0, -3500, 0, -4032, -9228, 0, -11952, -2556, -5144, 0, 0, 0, -1528, 0, 5076, -5476, 0, 6712, 1588, 8876, 0, 0, 0, 5392, 0, 6038, 13136, 0, -960, 7132, 432, 0, 0, 0, -4784, 0, -10112, 968, 0, 3956, -10216, 896, 0, 0, 0, 10776, 0, -12420, 22244, 0, 8904, 1484, 16048, 0, 0, 0, -588, 0, 2832, 6968, 0, 4024, -1604, -6772, 0, 0, 0, -436, 0], 'weight': 3, 'weight_parity': -1}
• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
  {'an_normalized': [[1.0, 0.0], [0.0, 0.9064352183938039], [-0.8045790517062684, 0.0], [0.178375194855377, 0.0], [0.8107298933008917, 0.0], [0.0, -0.7292987884484511], [0.0, -1.9289626435678542], [0.0, 1.068120777098575], [-0.35265254955544184, 0.0], [0.0, 0.7348741278925791], [-0.8085202142525887, -0.5884684045426297], [-0.14351694512466007, 0.0], [0.0, -1.706913367047534], [1.7484796750959173, 0.0], [-0.6522962887419557, 0.0], [-0.7898070950049293, 0.0], [0.0, 0.14814966864418502], [0.0, -0.3196566907734187], [0.0, -0.9969636257540395], [0.14461410269262556, 0.0], [0.0, 1.5520029345386408], [0.533408486789452, -0.7328711969818503], [-0.20851441405707477, 0.0], [0.0, -0.8593876019457339], [-0.34271704010832477, 0.0], [1.5472063906390348, 0.0], [1.0883159056093836, 0.0], [0.0, -0.34407908741515913], [0.0, 1.531538850599947], [0.0, -0.5912643289432823], [1.9006201305203623, 0.0], [0.0, 0.35221181044880595], [0.6505184272686967, 0.4734693508860098], [-0.13428807725246153, 0.0], [0.0, -1.5638676782011725], [-0.06290446724319743, 0.0], [0.7537254634641294, 0.0], [0.9036829418410414, 0.0], [0.0, 1.3733467382038587], [0.0, 0.8659574436495932], [0.0, -0.8666044002592853], [-1.4067901189163574, 0.0], [0.0, -0.5545477222338775], [-0.14421995076181665, -0.1049681663265244], [-0.2859059638733708, 0.0], [0.0, -0.18900480844408063], [-0.38945485501706334, 0.0], [0.6354622435299486, 0.0], [-2.720896880280285, 0.0], [0.0, -0.3106507950978674], [0.0, -0.11919811990833627], [0.0, -0.3044710044483515], [-0.20103423971608314, 0.0], [0.0, 0.9864878655824921], [-0.6554915070326153, -0.4770889268257922], [2.060365077841818, 0.0], [0.0, 0.8021360485948281], [-1.3882407525221585, 0.0], [0.20952554876713475, 0.0], [-0.11635347760778558, 0.0], [0.0, 0.5465068204572587], [0.0, 1.7227890230918848], [0.0, 0.6802535942514089], [-1.1090642843299698, 0.0], [0.0, -1.383845691940313], [-0.42916929447313285, 0.589652812690495], [1.4597465953371866, 0.0], [0.0, 0.02642622601216604], [0.16776632952912943, 0.0], [1.417544740429291, 0.0], [-1.3075047336699215, 0.0], [0.0, -0.37667551527695226], [0.0, 0.808847642202269], [0.0, 0.6832033050840792], [0.2757429511339351, 0.0], [0.0, -0.17783358100759994], [-1.1351335692827087, 1.5596052898627213], [-1.244849850574233, 0.0], [0.0, -1.0384616827162285], [-0.6403202218616335, 0.0], [-0.5229836297366047, 0.0], [0.7855207488100567, 0.0], [0.0, 0.31964881748303803], [0.0, 0.27683882586444697], [0.0, 0.12010936505246259], [0.5026615857128512, 0.0], [0.0, -1.2322440760670137], [0.6285553295580323, -0.8635972395473812], [0.3148992196772725, 0.0], [0.0, -0.2591552348036499], [-3.2925721208413186, 0.0], [-0.03719379923758547, 0.0], [-1.5291991422679172, 0.0], [0.0, -0.35301559656191905], [0.0, -0.8082682139324425], [0.0, -0.28338224445064825], [0.5576944865817955, 0.0], [0.0, -2.4663167579038796], [0.2851267149232875, 0.20752488319478155], [-0.06113221880958048, 0.0], [0.0, -1.3168701913090235], [0.10804537385124362, 0.0], [0.7717396521729792, 0.0], [1.823189632050757, 0.0], [0.0, 1.258255173521183], [0.0, -0.18222451498168016], [0.0, 0.5253543906369881], [0.19412856172727988, 0.0], [0.0, 0.7857498817844707], [0.4324502055806025, -0.5941605873323923], [-0.6064317186408369, 0.0], [0.0, 1.5235083818893558], [0.5390008891638135, 0.0], [-0.727084364389596, 0.0], [-0.16904886866019017, 0.0], [0.0, 0.2731885409043457], [0.0, 0.6019473507595766], [0.0, 0.1899213365558194], [0.2857751764715888, 0.0], [0.0, -0.696731218829574], [0.30740987371010364, 0.9515772010433721], [-0.4953730291548787, 0.0], [0.0, 0.6972517465650953], [0.3390234861276217, 0.0], [-1.0885808426603112, 0.0], [-0.6166058152684458, 0.0], [0.0, 0.007163120269295465], [0.0, -0.653083116330598], [0.0, 0.4461774804808043], [1.2543664719972425, 0.0], [0.0, 0.23825256832369143], [0.11603635122106716, 0.08445518772234085], [-1.9231055910755048, 0.0], [0.0, 1.3231657239440746], [0.8823302380323589, 0.0], [-0.15824173919912327, 0.0], [1.462865305773451, 0.0], [0.0, 0.1520693095458633], [0.0, -0.8379389440960301], [0.0, -0.27895520182716016], [0.3133472179320311, 0.0], [0.0, -1.1851683388150276], [-1.0044645857989505, 1.3800739612358797], [0.2785274857104654, 0.0], [0.0, 1.2416643289330653], [-0.733167989206927, 0.0], [2.189176631726456, 0.0], [0.13444592641287342, 0.0], [0.0, -1.4693697500347966], [0.0, 0.24994312213164047], [0.0, 0.025913368522878313], [1.0648775626794174, 0.0], [0.0, -0.052245358363165746], [-1.4136811615248477, -1.0289250447789102], [1.5408895556223001, 0.0], [0.0, 0.2449709920311097], [-0.09066029850295203, 0.0], [0.9412982421664816, 0.0], [0.1617479379512568, 0.0], [0.0, 0.28554864350447434], [0.0, 0.4022165153615371], [0.0, -0.47405078063668366], [0.7209472420501095, 0.0], [0.0, -0.15458072875877713], [0.5273947351298144, 0.3838557563250572], [-0.28974094568455877, 0.0], [0.0, -0.9234107121148487], [-1.6577265804986818, 0.0], [-1.9135532426055497, 0.0], [-0.10887135854247004, 0.0], [0.0, 0.3515817644361994], 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'char_orbit_index': 3, 'conrey_index': 208, 'dual_conrey_index': 208, 'dual_embedding_index': 14, 'dual_embedding_m': 14, 'embedding_index': 31, 'embedding_m': 31, 'hecke_orbit': 1, 'hecke_orbit_code': 137489285373, 'label': '253.3.c.a.208.31', 'level': 253, 'weight': 3}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 2277, 'analytic_conductor': 6.893750688315512, 'char_conductor': 11, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 2, 'char_parity': -1, 'char_values': [253, 2, [24, 166], [1, 2]], 'conrey_index': 208, 'cusp_dim': 46, 'dim': 44, 'eis_dim': 4, 'eis_new_dim': 0, 'hecke_cutter_primes': [], 'hecke_orbit_code': 137489285373, 'hecke_orbit_dims': [44], 'label': '253.3.c', 'level': 253, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [11, 23], 'level_radical': 253, 'mf_dim': 50, 'mf_new_dim': 44, 'num_forms': 1, 'prim_orbit_index': 2, 'relative_dim': 44, 'sturm_bound': 72, 'trace_bound': 0, 'trace_display': [0, 8, 0, 0], 'traces': [44, 0, 8, -88, 0, 0, 0, 0, 100, 0, 0, 0, 0, 8, -8, 72, 0, 0, 0, -40, 0, -76, 0, 0, 268, -40, 32, 0, 0, 0, 72, 0, -90, 60, 0, -312, 4, 40, 0, 0, 0, 12, 0, 186, -180, 0, -72, 252, -464, 0, 0, 0, 100, 0, -48, 208, 0, -148, -144, -324, 0, 0, 0, -416, 0, -238, 292, 0, 0, 540, 544, 0, 0, 0, -236, 0, 64, -344, 0, 156, -404, 72, 0, 0, 0, -136, 0, 608, -80, 0, -4, 0, -372, 0, 0, 0, 68, 0, 494, -124, 0, 1084, 148, 456, 0, 0, 0, 224, 0, -600, -176, 0, -1200, 172, 0, 0, 0, 0, 528, 0, -52, 504, 0, 12, -612, -32, 0, 0, 0, -76, 0, -500, 196, 0, -132, -392, 1328, 0, 0, 0, 200, 0, -298, -1344, 0, -120, -568, 556, 0, 0, 0, -372, 0, 1140, -1560, 0, -104, 1328, -620, 0, 0, 0, -100, 0, -164, -468, 0, -692, 364, -464, 0, 0, 0, -352, 0, -796, 284, 0, 820, -180, -1072, 0, 0, 0, -880, 0, 988, 636, 0, 1112, 1008, 500, 0, 0, 0, 904, 0, -498, 1408, 0, 560, -64, -552, 0, 0, 0, -368, 0, -640, 2412, 0, 1176, -404, -2212, 0, 0, 0, 1320, 0, -860, 1432, 0, -532, -1516, 2108, 0, 0, 0, -644, 0, 752, 1504, 0, -700, -588, 304, 0, 0, 0, 1500, 0, 512, 496, 0, -1048, 1760, 852, 0, 0, 0, 648, 0, 92, -920, 0, 776, -8, -3108, 0, 0, 0, 1200, 0, 362, -92, 0, -24, -2616, 68, 0, 0, 0, 1436, 0, -336, 0, 0, -256, 740, -1812, 0, 0, 0, -5168, 0, -1442, -2184, 0, -2316, -2332, 1356, 0, 0, 0, -1168, 0, -766, -1552, 0, -1848, -916, -172, 0, 0, 0, 1188, 0, 1520, -1280, 0, 876, 2812, 552, 0, 0, 0, -160, 0, 606, 1948, 0, -552, 1228, 3052, 0, 0, 0, -2168, 0, 560, -1424, 0, 488, 1008, 936, 0, 0, 0, 1620, 0, -418, -4856, 0, 1196, 0, 1620, 0, 0, 0, 5160, 0, -1154, -788, 0, 1444, -1292, 608, 0, 0, 0, -988, 0, -2064, 164, 0, -2548, 3096, 736, 0, 0, 0, -336, 0, 3456, 1184, 0, 3176, -1220, -2928, 0, 0, 0, -2836, 0, 2188, 1348, 0, -1576, 1416, 3728, 0, 0, 0, -1912, 0, 1818, 480, 0, 2532, -4448, -2684, 0, 0, 0, -2740, 0, 1532, -3180, 0, 3008, 288, 3588, 0, 0, 0, -828, 0, -1876, 1900, 0, 1204, 3428, -4792, 0, 0, 0, -2116, 0, -3274, -6456, 0, -4776, 1448, -1248, 0, 0, 0, 1812, 0, 1868, 2140, 0, 1248, 284, 2736, 0, 0, 0, 584, 0, 322, 5744, 0, -1424, -200, -3256, 0, 0, 0, -1288, 0, -1268, -508, 0, 804, 2888, -680, 0, 0, 0, 7792, 0, -3316, 4932, 0, -1636, 2900, 3692, 0, 0, 0, -3924, 0, 1768, 4016, 0, -432, 924, -1876, 0, 0, 0, 3008, 0, -2272, 4856, 0, 1840, -940, -5340, 0, 0, 0, 3004, 0, 460, -2140, 0, 1384, -4192, -4140, 0, 0, 0, 2088, 0, 714, -1468, 0, 6876, -2624, 1280, 0, 0, 0, 4644, 0, -3122, 1012, 0, -5768, -6720, -2196, 0, 0, 0, -5768, 0, 1612, -2464, 0, -6088, -5252, 4712, 0, 0, 0, -172, 0, -5616, -1452, 0, 2120, -1696, -2560, 0, 0, 0, 2420, 0, 4048, 6564, 0, -2380, 2996, -2952, 0, 0, 0, -4032, 0, 1092, -1816, 0, 184, 2048, 3144, 0, 0, 0, -2612, 0, 996, -724, 0, -1212, -1072, 12612, 0, 0, 0, 2336, 0, 5214, -6804, 0, -7836, 0, 2216, 0, 0, 0, 6916, 0, -2924, 1712, 0, 2072, 2056, 1016, 0, 0, 0, -1608, 0, -4728, -4468, 0, -836, 7728, 552, 0, 0, 0, 2724, 0, 5124, -6232, 0, 5688, -2880, -4440, 0, 0, 0, -8408, 0, 2622, 9544, 0, -3932, -168, 2824, 0, 0, 0, -212, 0, 2112, -4648, 0, 1556, -3776, -8192, 0, 0, 0, -4836, 0, 3176, -732, 0, 7228, 10196, 7940, 0, 0, 0, -9580, 0, -1304, -10488, 0, -1092, -1992, -9256, 0, 0, 0, 3044, 0, -5422, -4124, 0, -4160, -9852, -5660, 0, 0, 0, 1776, 0, 4312, 7348, 0, 9976, -2304, 6228, 0, 0, 0, 1640, 0, 2620, 12724, 0, -2024, 5280, -76, 0, 0, 0, -1472, 0, -2948, -680, 0, 560, -4684, 616, 0, 0, 0, 13800, 0, -10384, 1096, 0, 2380, 5968, 4644, 0, 0, 0, -8960, 0, -2880, 7972, 0, 3244, -3052, -456, 0, 0, 0, -44, 0, -1772, -2112, 0, 256, 7460, 2264, 0, 0, 0, 2148, 0, -598, -4384, 0, 13588, -1580, -13376, 0, 0, 0, 7864, 0, -1008, -48, 0, 1384, -2308, -732, 0, 0, 0, 11136, 0, -2458, 184, 0, -7456, -4324, 3216, 0, 0, 0, -16660, 0, 1238, -2708, 0, -8728, -3952, 7476, 0, 0, 0, -4652, 0, -4498, 1476, 0, -3688, 5976, -7744, 0, 0, 0, 8352, 0, 10408, 892, 0, 608, 7208, 2700, 0, 0, 0, -5904, 0, 1962, -3780, 0, 1288, 6200, 1228, 0, 0, 0, -14648, 0, 3860, -4892, 0, -4020, 1808, 10888, 0, 0, 0, 6604, 0, 6116, -8132, 0, -13652, 0, -9176, 0, 0, 0, 12492, 0, -798, 3136, 0, -2212, 116, 1500, 0, 0, 0, 6272, 0, -6288, 1312, 0, -7468, 4640, 2024, 0, 0, 0, 11712, 0, 10312, -6248, 0, 5332, -5308, -16252, 0, 0, 0, -6076, 0, 3080, 10256, 0, -7296, 5244, 16832, 0, 0, 0, -12928, 0, 3910, 4340, 0, 88, -6136, 2140, 0, 0, 0, -11344, 0, 1576, -2544, 0, 11376, 8848, 2672, 0, 0, 0, -10528, 0, -3916, -7324, 0, 5760, -7668, -10064, 0, 0, 0, -3500, 0, -4032, -9228, 0, -11952, -2556, -5144, 0, 0, 0, -1528, 0, 5076, -5476, 0, 6712, 1588, 8876, 0, 0, 0, 5392, 0, 6038, 13136, 0, -960, 7132, 432, 0, 0, 0, -4784, 0, -10112, 968, 0, 3956, -10216, 896, 0, 0, 0, 10776, 0, -12420, 22244, 0, 8904, 1484, 16048, 0, 0, 0, -588, 0, 2832, 6968, 0, 4024, -1604, -6772, 0, 0, 0, -436, 0], 'weight': 3, 'weight_parity': -1}
• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 1426315
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 208, 'source_dim': 44, 'source_embedding_index': 31, 'source_hecke_orbit_code': 137489285373, 'source_is_minimal': True, 'source_label': '253.3.c.a.208.31', 'source_level': 253, 'target_conrey_index': 208, 'target_dim': 44, 'target_embedding_index': 31, 'target_hecke_orbit_code': 137489285373, 'target_is_minimal': True, 'target_label': '253.3.c.a.208.31', 'target_level': 253, 'twist_class_label': '253.3.c.a.208.14', 'twist_class_level': 253, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 3}
  • id: 1426316
    {'conductor': 11, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 208, 'source_dim': 44, 'source_embedding_index': 31, 'source_hecke_orbit_code': 137489285373, 'source_is_minimal': True, 'source_label': '253.3.c.a.208.31', 'source_level': 253, 'target_conrey_index': 208, 'target_dim': 44, 'target_embedding_index': 14, 'target_hecke_orbit_code': 137489285373, 'target_is_minimal': True, 'target_label': '253.3.c.a.208.14', 'target_level': 253, 'twist_class_label': '253.3.c.a.208.14', 'twist_class_level': 253, 'twisting_char_label': '11.10', 'twisting_conrey_index': 10, 'weight': 3}
• hecke_orbit_code 137489285373 does not appear in mf_hecke_charpolys
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 3, 'hecke_orbit': 1, 'label': '253.3.c.a', 'level': 253, 'portrait': 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', 'weight': 3}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 5813029
    {'hecke_orbit_code': 137489285373, 'n': 1, 'trace_an': 44}
  • id: 5813030
    {'hecke_orbit_code': 137489285373, 'n': 2, 'trace_an': 0}
  • id: 5813031
    {'hecke_orbit_code': 137489285373, 'n': 3, 'trace_an': 8}
  • id: 5813032
    {'hecke_orbit_code': 137489285373, 'n': 4, 'trace_an': -88}
  • id: 5813033
    {'hecke_orbit_code': 137489285373, 'n': 5, 'trace_an': 0}
  • id: 5813034
    {'hecke_orbit_code': 137489285373, 'n': 6, 'trace_an': 0}
  • id: 5813035
    {'hecke_orbit_code': 137489285373, 'n': 7, 'trace_an': 0}
  • id: 5813036
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  • id: 5813037
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  • id: 5813038
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  • id: 5813039
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  • id: 5813040
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  • id: 5813041
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  • id: 5813042
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  • id: 5813043
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  • id: 5813044
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  • id: 5813045
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  • id: 5813046
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  • id: 5813047
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  • id: 5813048
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  • id: 5813049
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  • id: 5813050
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  • id: 5813051
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  • id: 5813052
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  • id: 5813053
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  • id: 5813054
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  • id: 5813055
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  • id: 5813056
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  • id: 5813057
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  • id: 5813058
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  • id: 5813059
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  • id: 5813060
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  • id: 5813061
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  • id: 5813062
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  • id: 5813063
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  • id: 5813064
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  • id: 5813065
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  • id: 5813066
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  • id: 5813067
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  • id: 5813068
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  • id: 5813069
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  • id: 5813070
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  • id: 5813071
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  • id: 5813072
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  • id: 5813073
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  • id: 5813074
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  • id: 5813075
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  • id: 5813076
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  • id: 5813077
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  • id: 5813078
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  • id: 5813079
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  • id: 5813080
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  • id: 5813081
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  • id: 5813082
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  • id: 5813083
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  • id: 5813084
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  • id: 5813085
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  • id: 5813086
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  • id: 5813087
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  • id: 5813088
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  • id: 5813089
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  • id: 5813090
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  • id: 5813091
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  • id: 5813092
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  • id: 5813093
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  • id: 5813094
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  • id: 5813095
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  • id: 5813096
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  • id: 5813097
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  • id: 5813098
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  • id: 5813099
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  • id: 5813100
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  • id: 5813101
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  • id: 5813102
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  • id: 5813103
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  • id: 5813104
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  • id: 5813105
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  • id: 5813106
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  • id: 5813107
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  • id: 5813108
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  • id: 5813109
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  • id: 5813110
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  • id: 5813111
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  • id: 5813112
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  • id: 5813113
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  • id: 5813114
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  • id: 5813115
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  • id: 5813116
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  • id: 5813117
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  • id: 5813118
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  • id: 5813119
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  • id: 5813120
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  • id: 5813121
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  • id: 5813122
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  • id: 5813123
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  • id: 5813124
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  • id: 5813125
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  • id: 5813126
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  • id: 5813127
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  • id: 5813128
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  • id: 5813129
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  • id: 5813130
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  • id: 5813131
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  • id: 5813132
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  • id: 5813133
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  • id: 5813134
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  • id: 5813135
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  • id: 5813136
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  • id: 5813137
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  • id: 5813138
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  • id: 5813139
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  • id: 5813140
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  • id: 5813141
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  • id: 5813142
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  • id: 5813143
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  • id: 5813144
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  • id: 5813145
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  • id: 5813146
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  • id: 5813147
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  • id: 5813148
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  • id: 5813149
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  • id: 5813150
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  • id: 5813151
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  • id: 5813152
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  • id: 5813153
    {'hecke_orbit_code': 137489285373, 'n': 199, 'trace_an': 1408}
  • id: 5813154
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  • id: 5813155
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  • id: 5813156
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  • id: 5813157
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  • id: 5813158
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  • id: 5813159
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  • id: 5813160
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  • id: 5813161
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  • id: 5813162
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  • id: 5813163
    {'hecke_orbit_code': 137489285373, 'n': 256, 'trace_an': 776}
  • id: 5813164
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  • id: 5813165
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  • id: 5813166
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  • id: 5813167
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  • id: 5813168
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  • id: 5813169
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  • id: 5813170
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  • id: 5813171
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  • id: 5813172
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  • id: 5813173
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  • id: 5813174
    {'hecke_orbit_code': 137489285373, 'n': 311, 'trace_an': 876}
  • id: 5813175
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  • id: 5813176
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  • id: 5813177
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  • id: 5813178
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  • id: 5813179
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  • id: 5813180
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  • id: 5813181
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  • id: 5813182
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  • id: 5813183
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  • id: 5813184
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  • id: 5813185
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  • id: 5813186
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  • id: 5813187
    {'hecke_orbit_code': 137489285373, 'n': 379, 'trace_an': -2928}
  • id: 5813188
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  • id: 5813189
    {'hecke_orbit_code': 137489285373, 'n': 389, 'trace_an': 1416}
  • id: 5813190
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  • id: 5813191
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  • id: 5813192
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  • id: 5813193
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  • id: 5813194
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  • id: 5813195
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  • id: 5813196
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  • id: 5813197
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  • id: 5813198
    {'hecke_orbit_code': 137489285373, 'n': 443, 'trace_an': 1248}
  • id: 5813199
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  • id: 5813200
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  • id: 5813201
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  • id: 5813202
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  • id: 5813203
    {'hecke_orbit_code': 137489285373, 'n': 467, 'trace_an': -680}
  • id: 5813204
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  • id: 5813205
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  • id: 5813206
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  • id: 5813207
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  • id: 5813208
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  • id: 5813209
    {'hecke_orbit_code': 137489285373, 'n': 509, 'trace_an': 1384}
  • id: 5813210
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  • id: 5813211
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  • id: 5813212
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  • id: 5813213
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  • id: 5813214
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  • id: 5813215
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  • id: 5813216
    {'hecke_orbit_code': 137489285373, 'n': 557, 'trace_an': 0}
  • id: 5813217
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  • id: 5813218
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  • id: 5813219
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  • id: 5813220
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  • id: 5813221
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  • id: 5813222
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  • id: 5813223
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  • id: 5813224
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  • id: 5813225
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  • id: 5813226
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  • id: 5813227
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  • id: 5813228
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  • id: 5813229
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  • id: 5813230
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  • id: 5813231
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  • id: 5813232
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  • id: 5813233
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  • id: 5813234
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  • id: 5813235
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  • id: 5813236
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  • id: 5813237
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  • id: 5813238
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  • id: 5813239
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  • id: 5813240
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  • id: 5813241
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  • id: 5813242
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  • id: 5813243
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  • id: 5813244
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  • id: 5813245
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  • id: 5813246
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  • id: 5813247
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  • id: 5813248
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  • id: 5813249
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  • id: 5813250
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  • id: 5813251
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  • id: 5813252
    {'hecke_orbit_code': 137489285373, 'n': 769, 'trace_an': 0}
  • id: 5813253
    {'hecke_orbit_code': 137489285373, 'n': 773, 'trace_an': 1384}
  • id: 5813254
    {'hecke_orbit_code': 137489285373, 'n': 787, 'trace_an': 0}
  • id: 5813255
    {'hecke_orbit_code': 137489285373, 'n': 797, 'trace_an': 7476}
  • id: 5813256
    {'hecke_orbit_code': 137489285373, 'n': 809, 'trace_an': 0}
  • id: 5813257
    {'hecke_orbit_code': 137489285373, 'n': 811, 'trace_an': 0}
  • id: 5813258
    {'hecke_orbit_code': 137489285373, 'n': 821, 'trace_an': 0}
  • id: 5813259
    {'hecke_orbit_code': 137489285373, 'n': 823, 'trace_an': -5904}
  • id: 5813260
    {'hecke_orbit_code': 137489285373, 'n': 827, 'trace_an': 0}
  • id: 5813261
    {'hecke_orbit_code': 137489285373, 'n': 829, 'trace_an': 6200}
  • id: 5813262
    {'hecke_orbit_code': 137489285373, 'n': 839, 'trace_an': -4020}
  • id: 5813263
    {'hecke_orbit_code': 137489285373, 'n': 841, 'trace_an': 10888}
  • id: 5813264
    {'hecke_orbit_code': 137489285373, 'n': 853, 'trace_an': 0}
  • id: 5813265
    {'hecke_orbit_code': 137489285373, 'n': 857, 'trace_an': 0}
  • id: 5813266
    {'hecke_orbit_code': 137489285373, 'n': 859, 'trace_an': 3136}
  • id: 5813267
    {'hecke_orbit_code': 137489285373, 'n': 863, 'trace_an': 1500}
  • id: 5813268
    {'hecke_orbit_code': 137489285373, 'n': 877, 'trace_an': 0}
  • id: 5813269
    {'hecke_orbit_code': 137489285373, 'n': 881, 'trace_an': -6248}
  • id: 5813270
    {'hecke_orbit_code': 137489285373, 'n': 883, 'trace_an': 5332}
  • id: 5813271
    {'hecke_orbit_code': 137489285373, 'n': 887, 'trace_an': 0}
  • id: 5813272
    {'hecke_orbit_code': 137489285373, 'n': 907, 'trace_an': 2140}
  • id: 5813273
    {'hecke_orbit_code': 137489285373, 'n': 911, 'trace_an': -11344}
  • id: 5813274
    {'hecke_orbit_code': 137489285373, 'n': 919, 'trace_an': 0}
  • id: 5813275
    {'hecke_orbit_code': 137489285373, 'n': 929, 'trace_an': -10064}
  • id: 5813276
    {'hecke_orbit_code': 137489285373, 'n': 937, 'trace_an': 0}
  • id: 5813277
    {'hecke_orbit_code': 137489285373, 'n': 941, 'trace_an': 0}
  • id: 5813278
    {'hecke_orbit_code': 137489285373, 'n': 947, 'trace_an': -5476}
  • id: 5813279
    {'hecke_orbit_code': 137489285373, 'n': 953, 'trace_an': 0}
  • id: 5813280
    {'hecke_orbit_code': 137489285373, 'n': 961, 'trace_an': 7132}
  • id: 5813281
    {'hecke_orbit_code': 137489285373, 'n': 967, 'trace_an': 0}
  • id: 5813282
    {'hecke_orbit_code': 137489285373, 'n': 971, 'trace_an': 3956}
  • id: 5813283
    {'hecke_orbit_code': 137489285373, 'n': 977, 'trace_an': 10776}
  • id: 5813284
    {'hecke_orbit_code': 137489285373, 'n': 983, 'trace_an': 1484}
  • id: 5813285
    {'hecke_orbit_code': 137489285373, 'n': 991, 'trace_an': 6968}
  • id: 5813286
    {'hecke_orbit_code': 137489285373, 'n': 997, 'trace_an': 0}