Embedded newform data - 208.10.a.j.1.4

Formats: - HTML - YAML - JSON - 2025-09-13T01:46:21.134635

• 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': 20800, 'analytic_conductor': 107.1274539220856, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [13, 1]], 'atkin_lehner_string': '++', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [208, 1, [79, 53, 145], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 6, 'field_disc': 273120452206471928893160851392, 'field_disc_factorization': [[2, 6], [3, 1], [7, 1], [149, 1], [1021, 1], [177953, 1], [7506502433244739, 1]], 'field_poly': [-2195812679340, 50183965132, 1089377733, -2752492, -69754, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[3, [-1588484286720, 70867356192, 965100573, -5522652, -68254, 60, 1]]], 'hecke_orbit': 10, 'hecke_orbit_code': 40532396814106832, 'hecke_ring_generator_nbound': 11, 'hecke_ring_index': 12288, 'hecke_ring_index_factorization': [[2, 12], [3, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '208.10.a.j', 'level': 208, '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': False, 'level_primes': [2, 13], 'level_radical': 26, 'minimal_twist': '104.10.a.b', 'prim_orbit_index': 1, 'qexp_display': 'q+(-10+\\beta _{1})q^{3}+(29-2\\beta _{1}+\\beta _{2}+\\cdots)q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 6, 'rm_discs': [], 'sato_tate_group': '9.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '208.10.a', 'trace_display': [0, -60, 176, -3416], 'trace_hash': 232944403813735001, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.684', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '92.691', 'prec': 20}, {'__RealLiteral__': 0, 'data': '21.922', 'prec': 20}, {'__RealLiteral__': 0, 'data': '2294.720', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, 'traces': [6, 0, -60, 0, 176, 0, -3416, 0, 22010, 0, 101316, 0, -171366, 0, -257460, 0, -170304, 0, 92084, 0, -424004, 0, -2369944, 0, 2043598, 0, 6428196, 0, -9021404, 0, 9894388, 0, 6717200, 0, 1910916, 0, 2974376, 0, 1713660, 0, -2977668, 0, 31585340, 0, -99427116, 0, 1766688, 0, -25397750, 0, 68102932, 0, -137836444, 0, 64702520, 0, -253569848, 0, 128523972, 0, 33822404, 0, 359085076, 0, -5026736, 0, 618333476, 0, -837582264, 0, 52534456, 0, -667586460, 0, 940557360, 0, -944797672, 0, 399417496, 0, -821518498, 0, 467205356, 0, -2583200620, 0, 219585328, 0, 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• 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

  
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'angles': [None, -0.23955673311016654, -0.07892536712142414, -0.3345357711787826, -0.10782954795244841, None, -0.406872603113539, -0.11768425919181266, -0.40121146322908874, -0.35168606080328807, -0.1988701873517378, -0.36161732871160773, -0.27325235431196643, -0.2881180247079591, -0.2567837058000646, -0.3140984323465679, -0.2713603737542838, -0.10285739524032676, -0.09806187100545886, -0.36443017151218, -0.20604811548977553, -0.18495000020860444, -0.3364565071886965, -0.26513748001384924, -0.4046620149245788, -0.33151340310692373, -0.2742384348901984, -0.24002142755577877, -0.26686871504086546, -0.32481169061544746, -0.27106578930324177, -0.21887121655142464, -0.34851943615070136, -0.3268594753160754, -0.22872736847587183, -0.25971618689903525, -0.17076187295275685, -0.4175230273845938, -0.3567043792148946, -0.46858960237713276, -0.2751045088751782, -0.3345121504268052, -0.17060434647205133, -0.3082694366741009, -0.26950862644385937, -0.3013201191429082, -0.17819199113350506, 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-0.10859596103421555, -0.28480288673184845, -0.19600195459738226, -0.05067331386046408, -0.18163180422109854, -0.3364450500114206, -0.20376961618783238, -0.29505032060113573, -0.2471278288980952, -0.38547811175136576, -0.3119555140370848, -0.10791950654625862, -0.3908620961493589, -0.33347632988962866, -0.3481677212397265, -0.15983606711307832, -0.22222230577491045, -0.18611698024997297, -0.13761343194434356, -0.23758493128881666, -0.47031699404784083, -0.17481833453219411, -0.1487798426263946, -0.33860777419465976, -0.4228358749943123, -0.2016407750150732, -0.11587205384173307, -0.24279036368444867, -0.291722050616149], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 4, 'dual_embedding_m': 4, 'embedding_index': 4, 'embedding_m': 4, 'embedding_root_imag': 0.0, 'embedding_root_real': 28.398405806842977, 'hecke_orbit': 10, 'hecke_orbit_code': 40532396814106832, 'label': '208.10.a.j.1.4', 'level': 208, 'weight': 10}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	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

  
  {'ALdims': [13, 14, 14, 13], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [3, 3, 3, 3], 'ALdims_old': [47, 48, 49, 48], 'Nk2': 20800, 'analytic_conductor': 107.1274539220856, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [208, 1, [79, 53, 145], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 246, 'dim': 54, 'eis_dim': 12, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 167772368, 'hecke_orbit_dims': [1, 1, 1, 3, 3, 4, 4, 5, 5, 6, 6, 7, 8], 'label': '208.10.a', 'level': 208, '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': False, 'level_primes': [2, 13], 'level_radical': 26, 'mf_dim': 258, 'mf_new_dim': 54, 'num_forms': 13, 'plus_dim': 26, 'prim_orbit_index': 1, 'relative_dim': 54, 'sturm_bound': 280, 'trace_bound': 3, 'trace_display': [0, 0, 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92345909195164, 0, -43545200013796, 0, 25507945796688, 0, -1084224155608, 0, 132401981426860, 0, -44661789021072, 0, 38334783095154, 0, 6010990547440, 0, -20168604867344, 0, 10934109441468, 0, 140360684120726, 0, 40945931512792, 0, 168442809803176, 0, 22784898399804, 0, 197372575017740, 0, -173341536102112, 0, -22565485144800, 0, 111569877994708, 0, -6724546479758, 0, 0, 0, -263344660087048, 0, 89334635358048, 0, -193128111119104, 0, 138420642767200, 0, 298634443082948, 0, 66702838613706, 0, -227999170558116, 0, 119390977523176, 0, -75241897650910, 0, -82749784364704, 0, -146190014648760, 0, 34233930573992, 0, -84035244279012, 0, -10239110291636, 0, 39207373797476, 0, -145307717434464, 0, 16473000604190, 0, 5403786755236, 0, -116381203672676, 0, 51132745511928, 0, -217771563706652, 0, -4533228383192, 0, -66514395944040, 0, -21926274112340, 0, -55711791128912, 0], 'weight': 10, '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: 46901003
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 4, 'source_hecke_orbit_code': 40532396814106832, 'source_is_minimal': False, 'source_label': '208.10.a.j.1.4', 'source_level': 208, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 4, 'target_hecke_orbit_code': 40532396814106832, 'target_is_minimal': False, 'target_label': '208.10.a.j.1.4', 'target_level': 208, 'twist_class_label': '104.10.a.b.1.3', 'twist_class_level': 104, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 10}
  • id: 46901004
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 4, 'source_hecke_orbit_code': 40532396814106832, 'source_is_minimal': False, 'source_label': '208.10.a.j.1.4', 'source_level': 208, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 3, 'target_hecke_orbit_code': 4503599795142760, 'target_is_minimal': True, 'target_label': '104.10.a.b.1.3', 'target_level': 104, 'twist_class_label': '104.10.a.b.1.3', 'twist_class_level': 104, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 10}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 516150
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 40532396814106832, 'p': 2}
  • id: 516151
    {'charpoly_factorization': [[[-1588484286720, 70867356192, 965100573, -5522652, -68254, 60, 1], 1]], 'hecke_orbit_code': 40532396814106832, 'p': 3}
  • id: 516152
    {'charpoly_factorization': [[[343213929560722500, -4099502196822900, 8477002015385, 291536876, -6865686, -176, 1], 1]], 'hecke_orbit_code': 40532396814106832, 'p': 5}
  • id: 516153
    {'charpoly_factorization': [[[458106113088123412500, -1488384522483232500, 1417321041290245, -276862076932, -102527418, 3416, 1], 1]], 'hecke_orbit_code': 40532396814106832, 'p': 7}
  • id: 516154
    {'charpoly_factorization': [[[997017127323801635701197888, -70077262473993469634624, -3619025225703541776, 230620836549920, -343641028, -101316, 1], 1]], 'hecke_orbit_code': 40532396814106832, 'p': 11}
  • id: 516155
    {'charpoly_factorization': [[[28561, 1], 6]], 'hecke_orbit_code': 40532396814106832, 'p': 13}
  • id: 516156
    {'charpoly_factorization': [[[33876839511216087850391015646180, -4068265688855135497112526684, 42122274253155284248281, -46739977071014124, -462862006966, 170304, 1], 1]], 'hecke_orbit_code': 40532396814106832, 'p': 17}
  • id: 516157
    {'charpoly_factorization': [[[-43931014118580492861151851974209728, -35866517866887667179177237824, 512444928753260191405936, 114645403379598880, -1342042489556, -92084, 1], 1]], 'hecke_orbit_code': 40532396814106832, 'p': 19}
  • id: 516158
    {'charpoly_factorization': [[[-791051227414398159330401130752000000, 3719168747775576818468436398080, 1671671275757011656345344, -11491808768532180608, -4814492282944, 2369944, 1], 1]], 'hecke_orbit_code': 40532396814106832, 'p': 23}
  • id: 516159
    {'charpoly_factorization': [[[2783058440209211453176259403549308801856, 1678927339672443752145476887484352, -292162309863622215102422928, -294254222202419911776, -18897745914324, 9021404, 1], 1]], 'hecke_orbit_code': 40532396814106832, 'p': 29}
  • id: 516160
    {'charpoly_factorization': [[[8543794457557829103161038721752993160192, -3083171356403423549121335690235392, -1156826440082793918130509056, 575885013115714198560, -32849909265052, -9894388, 1], 1]], 'hecke_orbit_code': 40532396814106832, 'p': 31}
  • id: 516161
    {'charpoly_factorization': [[[-14730796151840569189647986814722831324220, 24338136995279761523038218811271068, 22134910025322196486017116881, 22653731957004574132, -352953763993838, -2974376, 1], 1]], 'hecke_orbit_code': 40532396814106832, 'p': 37}
  • id: 516162
    {'charpoly_factorization': [[[6389720849876100955376542737289814468984832, 1885929012944615959766587261188218880, 91719210538821004992320950272, -11722634863054431975712, -938829620592444, 2977668, 1], 1]], 'hecke_orbit_code': 40532396814106832, 'p': 41}
  • id: 516163
    {'charpoly_factorization': [[[10790883248094862942739797903383912419920, 4977196750462554315339366904619752, -15296401303560010941026468539, 3534067192565182657492, 21691617563882, -31585340, 1], 1]], 'hecke_orbit_code': 40532396814106832, 'p': 43}
  • id: 516164
    {'charpoly_factorization': [[[22766544299475823301857298436769821150386100, 9909462404928603735949020961290347916, 626235334752253561142429606925, -22957727874486823769388, -2091265227901186, -1766688, 1], 1]], 'hecke_orbit_code': 40532396814106832, 'p': 47}
  • id: 516165
    {'charpoly_factorization': [[[197158805818928742870956933376157290264173568, 81655850357966848423533722107287998976, -2831304221681471823794824348416, -188029352986420414889440, 2246065558790852, 137836444, 1], 1]], 'hecke_orbit_code': 40532396814106832, 'p': 53}
  • id: 516166
    {'charpoly_factorization': [[[-1299030826182060303511822036875519088288205760, -208811303881713117361245743634141873216, 752362324284157920114977423856, 361281945783475014913056, -667120991180740, -128523972, 1], 1]], 'hecke_orbit_code': 40532396814106832, 'p': 59}
  • id: 516167
    {'charpoly_factorization': [[[-541535502761526757450382997216362852254890393600, -34666655942874360284493009820628338022400, 810293336467533063246425269307136, 2190106815255817522389216, -56492621362732508, -33822404, 1], 1]], 'hecke_orbit_code': 40532396814106832, 'p': 61}
  • id: 516168
    {'charpoly_factorization': [[[8571821935214487408012828580368122434813942746432, 4334983855482206041678143499501423885248, -1818600371782939493205979031941008, 5457706543563471131493792, 96953404915005196, -618333476, 1], 1]], 'hecke_orbit_code': 40532396814106832, 'p': 67}
  • id: 516169
    {'charpoly_factorization': [[[-68834481172287943005933305633354800710030325991500, -543122736217087584035701933804736423470460, 8655293110245132905507200842490741, 10627401018938298515938548, -178819360664431210, -52534456, 1], 1]], 'hecke_orbit_code': 40532396814106832, 'p': 71}
  • id: 516170
    {'charpoly_factorization': [[[8638447380719165146381414017066397248174298103616, 53341674919815168373724513306148023402944, -2389247001354908479764723858494352, -13969093757328939009482464, 84998713360856300, 667586460, 1], 1]], 'hecke_orbit_code': 40532396814106832, 'p': 73}
  • id: 516171
    {'charpoly_factorization': [[[44631353227119894732665640407677621299861071155200, -878643763241542571896426697662268537346048, -1538266250113347693173052707219712, 49568740547349084447429376, -91247737957437136, -399417496, 1], 1]], 'hecke_orbit_code': 40532396814106832, 'p': 79}
  • id: 516172
    {'charpoly_factorization': [[[512662386878726177226707828535677318021471998574592, -6435179950093634122996127882347409480024064, 9133920216097730118129551523696640, 117698463437096402155178944, -275921268155571324, -467205356, 1], 1]], 'hecke_orbit_code': 40532396814106832, 'p': 83}
  • id: 516173
    {'charpoly_factorization': [[[1499045936892864161313741581257319537677011029802048, -8939109671864907419515683385248460265262528, -303023881391514566846577018427942928, -956203905358304299063116832, -34277648225163204, 1630231268, 1], 1]], 'hecke_orbit_code': 40532396814106832, 'p': 89}
  • id: 516174
    {'charpoly_factorization': [[[1681791087700734625277591072106425916337710173735744, -52709997586873881967802515075960288126877248, -2497251760140257817444634294107536, 1283568498229752794499912480, 3504637438569101996, 3266492188, 1], 1]], 'hecke_orbit_code': 40532396814106832, 'p': 97}
• mf_newform_portraits •

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

  
  {'char_orbit_index': 1, 'hecke_orbit': 10, 'label': '208.10.a.j', 'level': 208, 'portrait': 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', 'weight': 10}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 53724091
    {'hecke_orbit_code': 40532396814106832, 'n': 1, 'trace_an': 6}
  • id: 53724092
    {'hecke_orbit_code': 40532396814106832, 'n': 2, 'trace_an': 0}
  • id: 53724093
    {'hecke_orbit_code': 40532396814106832, 'n': 3, 'trace_an': -60}
  • id: 53724094
    {'hecke_orbit_code': 40532396814106832, 'n': 4, 'trace_an': 0}
  • id: 53724095
    {'hecke_orbit_code': 40532396814106832, 'n': 5, 'trace_an': 176}
  • id: 53724096
    {'hecke_orbit_code': 40532396814106832, 'n': 6, 'trace_an': 0}
  • id: 53724097
    {'hecke_orbit_code': 40532396814106832, 'n': 7, 'trace_an': -3416}
  • id: 53724098
    {'hecke_orbit_code': 40532396814106832, 'n': 8, 'trace_an': 0}
  • id: 53724099
    {'hecke_orbit_code': 40532396814106832, 'n': 9, 'trace_an': 22010}
  • id: 53724100
    {'hecke_orbit_code': 40532396814106832, 'n': 10, 'trace_an': 0}
  • id: 53724101
    {'hecke_orbit_code': 40532396814106832, 'n': 11, 'trace_an': 101316}
  • id: 53724102
    {'hecke_orbit_code': 40532396814106832, 'n': 12, 'trace_an': 0}
  • id: 53724103
    {'hecke_orbit_code': 40532396814106832, 'n': 13, 'trace_an': -171366}
  • id: 53724104
    {'hecke_orbit_code': 40532396814106832, 'n': 14, 'trace_an': 0}
  • id: 53724105
    {'hecke_orbit_code': 40532396814106832, 'n': 15, 'trace_an': -257460}
  • id: 53724106
    {'hecke_orbit_code': 40532396814106832, 'n': 16, 'trace_an': 0}
  • id: 53724107
    {'hecke_orbit_code': 40532396814106832, 'n': 17, 'trace_an': -170304}
  • id: 53724108
    {'hecke_orbit_code': 40532396814106832, 'n': 18, 'trace_an': 0}
  • id: 53724109
    {'hecke_orbit_code': 40532396814106832, 'n': 19, 'trace_an': 92084}
  • id: 53724110
    {'hecke_orbit_code': 40532396814106832, 'n': 20, 'trace_an': 0}
  • id: 53724111
    {'hecke_orbit_code': 40532396814106832, 'n': 21, 'trace_an': -424004}
  • id: 53724112
    {'hecke_orbit_code': 40532396814106832, 'n': 22, 'trace_an': 0}
  • id: 53724113
    {'hecke_orbit_code': 40532396814106832, 'n': 23, 'trace_an': -2369944}
  • id: 53724114
    {'hecke_orbit_code': 40532396814106832, 'n': 24, 'trace_an': 0}
  • id: 53724115
    {'hecke_orbit_code': 40532396814106832, 'n': 25, 'trace_an': 2043598}
  • id: 53724116
    {'hecke_orbit_code': 40532396814106832, 'n': 26, 'trace_an': 0}
  • id: 53724117
    {'hecke_orbit_code': 40532396814106832, 'n': 27, 'trace_an': 6428196}
  • id: 53724118
    {'hecke_orbit_code': 40532396814106832, 'n': 28, 'trace_an': 0}
  • id: 53724119
    {'hecke_orbit_code': 40532396814106832, 'n': 29, 'trace_an': -9021404}
  • id: 53724120
    {'hecke_orbit_code': 40532396814106832, 'n': 30, 'trace_an': 0}
  • id: 53724121
    {'hecke_orbit_code': 40532396814106832, 'n': 31, 'trace_an': 9894388}
  • id: 53724122
    {'hecke_orbit_code': 40532396814106832, 'n': 32, 'trace_an': 0}
  • id: 53724123
    {'hecke_orbit_code': 40532396814106832, 'n': 33, 'trace_an': 6717200}
  • id: 53724124
    {'hecke_orbit_code': 40532396814106832, 'n': 34, 'trace_an': 0}
  • id: 53724125
    {'hecke_orbit_code': 40532396814106832, 'n': 35, 'trace_an': 1910916}
  • id: 53724126
    {'hecke_orbit_code': 40532396814106832, 'n': 36, 'trace_an': 0}
  • id: 53724127
    {'hecke_orbit_code': 40532396814106832, 'n': 37, 'trace_an': 2974376}
  • id: 53724128
    {'hecke_orbit_code': 40532396814106832, 'n': 38, 'trace_an': 0}
  • id: 53724129
    {'hecke_orbit_code': 40532396814106832, 'n': 39, 'trace_an': 1713660}
  • id: 53724130
    {'hecke_orbit_code': 40532396814106832, 'n': 40, 'trace_an': 0}
  • id: 53724131
    {'hecke_orbit_code': 40532396814106832, 'n': 41, 'trace_an': -2977668}
  • id: 53724132
    {'hecke_orbit_code': 40532396814106832, 'n': 42, 'trace_an': 0}
  • id: 53724133
    {'hecke_orbit_code': 40532396814106832, 'n': 43, 'trace_an': 31585340}
  • id: 53724134
    {'hecke_orbit_code': 40532396814106832, 'n': 44, 'trace_an': 0}
  • id: 53724135
    {'hecke_orbit_code': 40532396814106832, 'n': 45, 'trace_an': -99427116}
  • id: 53724136
    {'hecke_orbit_code': 40532396814106832, 'n': 46, 'trace_an': 0}
  • id: 53724137
    {'hecke_orbit_code': 40532396814106832, 'n': 47, 'trace_an': 1766688}
  • id: 53724138
    {'hecke_orbit_code': 40532396814106832, 'n': 48, 'trace_an': 0}
  • id: 53724139
    {'hecke_orbit_code': 40532396814106832, 'n': 49, 'trace_an': -25397750}
  • id: 53724140
    {'hecke_orbit_code': 40532396814106832, 'n': 50, 'trace_an': 0}
  • id: 53724141
    {'hecke_orbit_code': 40532396814106832, 'n': 51, 'trace_an': 68102932}
  • id: 53724142
    {'hecke_orbit_code': 40532396814106832, 'n': 52, 'trace_an': 0}
  • id: 53724143
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  • id: 53724325
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  • id: 53724326
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  • id: 53724327
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  • id: 53724328
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  • id: 53724329
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  • id: 53724330
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  • id: 53724331
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  • id: 53724332
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  • id: 53724333
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  • id: 53724334
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  • id: 53724335
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  • id: 53724336
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  • id: 53724337
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  • id: 53724338
    {'hecke_orbit_code': 40532396814106832, 'n': 937, 'trace_an': 42598132436524}
  • id: 53724339
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  • id: 53724340
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  • id: 53724341
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  • id: 53724342
    {'hecke_orbit_code': 40532396814106832, 'n': 961, 'trace_an': 4960999460622}
  • id: 53724343
    {'hecke_orbit_code': 40532396814106832, 'n': 967, 'trace_an': -9001845770568}
  • id: 53724344
    {'hecke_orbit_code': 40532396814106832, 'n': 971, 'trace_an': -83047508553124}
  • id: 53724345
    {'hecke_orbit_code': 40532396814106832, 'n': 977, 'trace_an': -85246021183988}
  • id: 53724346
    {'hecke_orbit_code': 40532396814106832, 'n': 983, 'trace_an': 146300173986472}
  • id: 53724347
    {'hecke_orbit_code': 40532396814106832, 'n': 991, 'trace_an': -1760652329856}
  • id: 53724348
    {'hecke_orbit_code': 40532396814106832, 'n': 997, 'trace_an': 27700242558332}