Embedded newform data - 15.14.a.c.1.2

Formats: - HTML - YAML - JSON - 2025-12-17T09:35:52.569586

• 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': 2940, 'analytic_conductor': 16.084639342786904, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, -1], [5, 1]], 'atkin_lehner_string': '-+', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [15, 1, [11, 7], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 3121, 'field_disc_factorization': [[3121, 1]], 'field_poly': [-780, -1, 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': [[2, [-2732, -131, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007199489622031, 'hecke_ring_generator_nbound': 2, 'hecke_ring_index': 3, 'hecke_ring_index_factorization': [[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': True, 'is_maximal': True, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '15.14.a.c', 'level': 15, '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': [3, 5], 'level_radical': 15, 'minimal_twist': '15.14.a.c', 'nf_label': '2.2.3121.1', 'prim_orbit_index': 1, 'qexp_display': 'q+(66-\\beta )q^{2}+3^{6}q^{3}+(3186-131\\beta )q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '13.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '15.14.a', 'trace_display': [131, 1458, -31250, 496272], 'trace_hash': 980915214432750742, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.037', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.004', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.134', 'prec': 17}, {'__RealLiteral__': 0, 'data': '10.098', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.650', 'prec': 17}, {'__RealLiteral__': 0, 'data': '70.129', 'prec': 20}], 'trace_zratio': 0, 'traces': [2, 131, 1458, 6241, -31250, 95499, 496272, 1175463, 1062882, -2046875, 6245888, 4549689, 1761164, 55314084, -22781250, 75148705, 48151604, 69618771, 38475344, -97515625, 361782288, 908415728, 734264616, 856912527, 488281250, 157714454, 774840978, 4536499884, 1126474708, -1492171875, 6100104312, -8296660073, 4553252352, -5404788238, -7754250000, 3316723281, -46819674548, -56001723484, 1283888556, -18366609375, -29607909788, 40323967236, -63189768520, 84899911888, -16607531250, 65368954992, 105004415960, 54783405945, -33594444590, 31982421875, 35102519316, 11044638034, 48425833796, 50752084059, -97592000000, 371708899380, 28048525776, -732719858498, 722768180096, -71088890625, -229984402180, 1173940563384, 263739287952, -1270168541071, -27518187500, 662235065712, 359062188984, -970935017018, 535278905064, 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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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[-0.09988915589566547, 0.0], [1.0310471935113588, 0.0], [-0.5348835554314434, 0.0], [3.2975855655925006, 0.0], [1.9192622154155572, 0.0], [0.5649445504993863, 0.0], [0.005503516743250135, 0.0], [-1.366918136718495, 0.0], [0.10159967877846707, 0.0], [-1.7577512763630414, 0.0], [-0.11040627523584846, 0.0], [-0.09005493280126432, 0.0], [-0.27764545481914205, 0.0], [0.40765112292780736, 0.0], [0.1318907478883953, 0.0], [-0.1118216356239051, 0.0], [-0.9805435571143231, 0.0], [0.28795009055883036, 0.0], [0.7007685553663117, 0.0], [-0.03039466745135728, 0.0], [-0.2477936067854505, 0.0], [-0.16073573034339375, 0.0], [0.9314323792804138, 0.0], [-1.2458705292323866, 0.0], [1.8325300980164183, 0.0], [0.15230459320421277, 0.0], [0.11539545928589408, 0.0], [-2.0194073704418734, 0.0], [-2.204065606861384, 0.0], [0.9283498490298765, 0.0], [0.7655169931815902, 0.0], [-2.172940322457372, 0.0], [0.02490092660320162, 0.0], [-2.6219671962622217, 0.0], [-2.0590409991950533, 0.0], [0.11473105054233601, 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-0.10858522699718967, -0.43091154758858624, -0.3064702935872326, -0.4078539867319312, -0.12991360601819524, -0.34526965020769884, -0.17034549314509698, -0.21478926856671934, -0.24327272421927762, -0.16196125739014486, -0.2572149745345065, -0.062448890305748204, -0.2269896578892998, -0.2664589063034991, -0.22564997820991242, -0.276303085844487, -0.3236423529079898, -0.170328160352965, -0.34743937530393676, -0.13729174643279998, -0.11687035486608101, -0.1020833168305176, -0.3011806616059688, -0.20750334372942475, -0.16897365736000605, -0.36645884433346915, -0.2839099869127939, -0.3049516023236298, -0.1725234140755312, -0.23218850333175572, -0.4134900749821154, -0.33462230667751974, -0.1929304162663654, -0.26379937249450786, -0.250407588443558, -0.14206578702563966, -0.2776867492390003, -0.3497880993420734, -0.05613951014943625, -0.2904885505059862, -0.07579174460185094, -0.29789312389532596, -0.17175586660651926, -0.26895452923150914, -0.3083780284371461, -0.2970303409757063, 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-0.2516075141139834, -0.1667792626250227, -0.2721659119169244, -0.33155123987430185, -0.19302549708388586, -0.17289838204612146, -0.2873043376464681, -0.24712089448394967, -0.41005955319280124, -0.3659771336028874, -0.30617420407924417, -0.27529137069772264, -0.265313650847566, -0.24917546760306236, -0.20215124044907337, -0.20311177328861205, -0.23407644625435736, -0.3943645818983031, -0.22828781036598553, -0.14647913528661832], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': 0.0, 'embedding_root_real': -27.432955446926844, 'hecke_orbit': 3, 'hecke_orbit_code': 9007199489622031, 'label': '15.14.a.c.1.2', 'level': 15, 'weight': 14}
• 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': [2, 3, 2, 1], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [1, 1, 1, 1], 'ALdims_old': [3, 4, 4, 5], 'Nk2': 2940, 'analytic_conductor': 16.084639342786904, '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': [15, 1, [11, 7], [1, 1]], 'conrey_index': 1, 'cusp_dim': 24, 'dim': 8, 'eis_dim': 4, 'eis_new_dim': 0, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 234881039, 'hecke_orbit_dims': [1, 2, 2, 3], 'label': '15.14.a', 'level': 15, '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': [3, 5], 'level_radical': 15, 'mf_dim': 28, 'mf_new_dim': 8, 'num_forms': 4, 'plus_dim': 3, 'prim_orbit_index': 1, 'relative_dim': 8, 'sturm_bound': 28, 'trace_bound': 2, 'trace_display': [4, -1458, 0, -255112], 'traces': [8, 4, -1458, 32226, 0, 77274, 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• 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: 40533782
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007199489622031, 'source_is_minimal': True, 'source_label': '15.14.a.c.1.2', 'source_level': 15, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007199489622031, 'target_is_minimal': True, 'target_label': '15.14.a.c.1.2', 'target_level': 15, 'twist_class_label': '15.14.a.c.1.2', 'twist_class_level': 15, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 14}
  • id: 40533783
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007199489622031, 'source_is_minimal': True, 'source_label': '15.14.a.c.1.2', 'source_level': 15, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599862251565, 'target_is_minimal': False, 'target_label': '45.14.a.b.1.1', 'target_level': 45, 'twist_class_label': '15.14.a.c.1.2', 'twist_class_level': 15, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 14}
  • id: 40533784
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007199489622031, 'source_is_minimal': True, 'source_label': '15.14.a.c.1.2', 'source_level': 15, 'target_conrey_index': 49, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 18014467463839819, 'target_is_minimal': False, 'target_label': '75.14.b.e.49.4', 'target_level': 75, 'twist_class_label': '15.14.a.c.1.2', 'twist_class_level': 15, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 14}
  • id: 40533785
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007199489622031, 'source_is_minimal': True, 'source_label': '15.14.a.c.1.2', 'source_level': 15, 'target_conrey_index': 49, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014467463839819, 'target_is_minimal': False, 'target_label': '75.14.b.e.49.1', 'target_level': 75, 'twist_class_label': '15.14.a.c.1.2', 'twist_class_level': 15, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 14}
  • id: 40533786
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007199489622031, 'source_is_minimal': True, 'source_label': '15.14.a.c.1.2', 'source_level': 15, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199489622091, 'target_is_minimal': False, 'target_label': '75.14.a.c.1.1', 'target_level': 75, 'twist_class_label': '15.14.a.c.1.2', 'twist_class_level': 15, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 14}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 61925
    {'charpoly_factorization': [[[-2732, -131, 1], 1]], 'hecke_orbit_code': 9007199489622031, 'p': 2}
  • id: 61926
    {'charpoly_factorization': [[[-729, 1], 2]], 'hecke_orbit_code': 9007199489622031, 'p': 3}
  • id: 61927
    {'charpoly_factorization': [[[15625, 1], 2]], 'hecke_orbit_code': 9007199489622031, 'p': 5}
  • id: 61928
    {'charpoly_factorization': [[[43051160880, -496272, 1], 1]], 'hecke_orbit_code': 9007199489622031, 'p': 7}
  • id: 61929
    {'charpoly_factorization': [[[877043529472, -6245888, 1], 1]], 'hecke_orbit_code': 9007199489622031, 'p': 11}
  • id: 61930
    {'charpoly_factorization': [[[711548475028, -1761164, 1], 1]], 'hecke_orbit_code': 9007199489622031, 'p': 13}
  • id: 61931
    {'charpoly_factorization': [[[-2028197224066796, -48151604, 1], 1]], 'hecke_orbit_code': 9007199489622031, 'p': 17}
  • id: 61932
    {'charpoly_factorization': [[[-121556926970029520, -38475344, 1], 1]], 'hecke_orbit_code': 9007199489622031, 'p': 19}
  • id: 61933
    {'charpoly_factorization': [[[124162307749837440, -734264616, 1], 1]], 'hecke_orbit_code': 9007199489622031, 'p': 23}
  • id: 61934
    {'charpoly_factorization': [[[-22839466462978381340, -1126474708, 1], 1]], 'hecke_orbit_code': 9007199489622031, 'p': 29}
  • id: 61935
    {'charpoly_factorization': [[[-12046114266091459200, -6100104312, 1], 1]], 'hecke_orbit_code': 9007199489622031, 'p': 31}
  • id: 61936
    {'charpoly_factorization': [[[523926584162397858580, 46819674548, 1], 1]], 'hecke_orbit_code': 9007199489622031, 'p': 37}
  • id: 61937
    {'charpoly_factorization': [[[179092337751423586180, 29607909788, 1], 1]], 'hecke_orbit_code': 9007199489622031, 'p': 41}
  • id: 61938
    {'charpoly_factorization': [[[-430442176727211547376, 63189768520, 1], 1]], 'hecke_orbit_code': 9007199489622031, 'p': 43}
  • id: 61939
    {'charpoly_factorization': [[[381832343918248541056, -105004415960, 1], 1]], 'hecke_orbit_code': 9007199489622031, 'p': 47}
  • id: 61940
    {'charpoly_factorization': [[[-41874163388543871474620, -48425833796, 1], 1]], 'hecke_orbit_code': 9007199489622031, 'p': 53}
  • id: 61941
    {'charpoly_factorization': [[[128053652651088021395200, -722768180096, 1], 1]], 'hecke_orbit_code': 9007199489622031, 'p': 59}
  • id: 61942
    {'charpoly_factorization': [[[-71800332438139681163324, 229984402180, 1], 1]], 'hecke_orbit_code': 9007199489622031, 'p': 61}
  • id: 61943
    {'charpoly_factorization': [[[18552858600677759291664, -359062188984, 1], 1]], 'hecke_orbit_code': 9007199489622031, 'p': 67}
  • id: 61944
    {'charpoly_factorization': [[[-450998013229386613293056, -736545668224, 1], 1]], 'hecke_orbit_code': 9007199489622031, 'p': 71}
  • id: 61945
    {'charpoly_factorization': [[[161404870003845671302180, 1494470740204, 1], 1]], 'hecke_orbit_code': 9007199489622031, 'p': 73}
  • id: 61946
    {'charpoly_factorization': [[[-1862513624716893392140800, -3526348590120, 1], 1]], 'hecke_orbit_code': 9007199489622031, 'p': 79}
  • id: 61947
    {'charpoly_factorization': [[[4096354480167347415468432, -5631050986968, 1], 1]], 'hecke_orbit_code': 9007199489622031, 'p': 83}
  • id: 61948
    {'charpoly_factorization': [[[-6660858232249249808926620, -5913121459764, 1], 1]], 'hecke_orbit_code': 9007199489622031, 'p': 89}
  • id: 61949
    {'charpoly_factorization': [[[34713971501226996450593284, -16383233322244, 1], 1]], 'hecke_orbit_code': 9007199489622031, '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': 3, 'label': '15.14.a.c', 'level': 15, 'portrait': 'data:image/png;base64,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', 'weight': 14}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 29307487
    {'hecke_orbit_code': 9007199489622031, 'n': 1, 'trace_an': 2}
  • id: 29307488
    {'hecke_orbit_code': 9007199489622031, 'n': 2, 'trace_an': 131}
  • id: 29307489
    {'hecke_orbit_code': 9007199489622031, 'n': 3, 'trace_an': 1458}
  • id: 29307490
    {'hecke_orbit_code': 9007199489622031, 'n': 4, 'trace_an': 6241}
  • id: 29307491
    {'hecke_orbit_code': 9007199489622031, 'n': 5, 'trace_an': -31250}
  • id: 29307492
    {'hecke_orbit_code': 9007199489622031, 'n': 6, 'trace_an': 95499}
  • id: 29307493
    {'hecke_orbit_code': 9007199489622031, 'n': 7, 'trace_an': 496272}
  • id: 29307494
    {'hecke_orbit_code': 9007199489622031, 'n': 8, 'trace_an': 1175463}
  • id: 29307495
    {'hecke_orbit_code': 9007199489622031, 'n': 9, 'trace_an': 1062882}
  • id: 29307496
    {'hecke_orbit_code': 9007199489622031, 'n': 10, 'trace_an': -2046875}
  • id: 29307497
    {'hecke_orbit_code': 9007199489622031, 'n': 11, 'trace_an': 6245888}
  • id: 29307498
    {'hecke_orbit_code': 9007199489622031, 'n': 12, 'trace_an': 4549689}
  • id: 29307499
    {'hecke_orbit_code': 9007199489622031, 'n': 13, 'trace_an': 1761164}
  • id: 29307500
    {'hecke_orbit_code': 9007199489622031, 'n': 14, 'trace_an': 55314084}
  • id: 29307501
    {'hecke_orbit_code': 9007199489622031, 'n': 15, 'trace_an': -22781250}
  • id: 29307502
    {'hecke_orbit_code': 9007199489622031, 'n': 16, 'trace_an': 75148705}
  • id: 29307503
    {'hecke_orbit_code': 9007199489622031, 'n': 17, 'trace_an': 48151604}
  • id: 29307504
    {'hecke_orbit_code': 9007199489622031, 'n': 18, 'trace_an': 69618771}
  • id: 29307505
    {'hecke_orbit_code': 9007199489622031, 'n': 19, 'trace_an': 38475344}
  • id: 29307506
    {'hecke_orbit_code': 9007199489622031, 'n': 20, 'trace_an': -97515625}
  • id: 29307507
    {'hecke_orbit_code': 9007199489622031, 'n': 21, 'trace_an': 361782288}
  • id: 29307508
    {'hecke_orbit_code': 9007199489622031, 'n': 22, 'trace_an': 908415728}
  • id: 29307509
    {'hecke_orbit_code': 9007199489622031, 'n': 23, 'trace_an': 734264616}
  • id: 29307510
    {'hecke_orbit_code': 9007199489622031, 'n': 24, 'trace_an': 856912527}
  • id: 29307511
    {'hecke_orbit_code': 9007199489622031, 'n': 25, 'trace_an': 488281250}
  • id: 29307512
    {'hecke_orbit_code': 9007199489622031, 'n': 26, 'trace_an': 157714454}
  • id: 29307513
    {'hecke_orbit_code': 9007199489622031, 'n': 27, 'trace_an': 774840978}
  • id: 29307514
    {'hecke_orbit_code': 9007199489622031, 'n': 28, 'trace_an': 4536499884}
  • id: 29307515
    {'hecke_orbit_code': 9007199489622031, 'n': 29, 'trace_an': 1126474708}
  • id: 29307516
    {'hecke_orbit_code': 9007199489622031, 'n': 30, 'trace_an': -1492171875}
  • id: 29307517
    {'hecke_orbit_code': 9007199489622031, 'n': 31, 'trace_an': 6100104312}
  • id: 29307518
    {'hecke_orbit_code': 9007199489622031, 'n': 32, 'trace_an': -8296660073}
  • id: 29307519
    {'hecke_orbit_code': 9007199489622031, 'n': 33, 'trace_an': 4553252352}
  • id: 29307520
    {'hecke_orbit_code': 9007199489622031, 'n': 34, 'trace_an': -5404788238}
  • id: 29307521
    {'hecke_orbit_code': 9007199489622031, 'n': 35, 'trace_an': -7754250000}
  • id: 29307522
    {'hecke_orbit_code': 9007199489622031, 'n': 36, 'trace_an': 3316723281}
  • id: 29307523
    {'hecke_orbit_code': 9007199489622031, 'n': 37, 'trace_an': -46819674548}
  • id: 29307524
    {'hecke_orbit_code': 9007199489622031, 'n': 38, 'trace_an': -56001723484}
  • id: 29307525
    {'hecke_orbit_code': 9007199489622031, 'n': 39, 'trace_an': 1283888556}
  • id: 29307526
    {'hecke_orbit_code': 9007199489622031, 'n': 40, 'trace_an': -18366609375}
  • id: 29307527
    {'hecke_orbit_code': 9007199489622031, 'n': 41, 'trace_an': -29607909788}
  • id: 29307528
    {'hecke_orbit_code': 9007199489622031, 'n': 42, 'trace_an': 40323967236}
  • id: 29307529
    {'hecke_orbit_code': 9007199489622031, 'n': 43, 'trace_an': -63189768520}
  • id: 29307530
    {'hecke_orbit_code': 9007199489622031, 'n': 44, 'trace_an': 84899911888}
  • id: 29307531
    {'hecke_orbit_code': 9007199489622031, 'n': 45, 'trace_an': -16607531250}
  • id: 29307532
    {'hecke_orbit_code': 9007199489622031, 'n': 46, 'trace_an': 65368954992}
  • id: 29307533
    {'hecke_orbit_code': 9007199489622031, 'n': 47, 'trace_an': 105004415960}
  • id: 29307534
    {'hecke_orbit_code': 9007199489622031, 'n': 48, 'trace_an': 54783405945}
  • id: 29307535
    {'hecke_orbit_code': 9007199489622031, 'n': 49, 'trace_an': -33594444590}
  • id: 29307536
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