Embedded newform data - 14.18.a.a.1.1

Formats: - HTML - YAML - JSON - 2026-05-01T17:24:21.244464

• 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': 4536, 'analytic_conductor': 25.651092228238355, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [7, -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': [14, 1, [3], [1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [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, [-4626, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 301989902, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], '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': '14.18.a.a', 'level': 14, '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': [2, 7], 'level_radical': 14, 'minimal_twist': '14.18.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+2^{8}q^{2}+4626q^{3}+2^{16}q^{4}-851700q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '17.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '14.18.a', 'trace_display': [256, 4626, -851700, 5764801], 'trace_hash': 940092396830940379, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.005', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.046', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.204', 'prec': 17}], 'trace_zratio': 0, 'traces': [1, 256, 4626, 65536, -851700, 1184256, 5764801, 16777216, -107740287, -218035200, -586048992, 303169536, -1042966288, 1475789056, -3939964200, 4294967296, -17187488802, -27581513472, -35251814482, -55817011200, 26667969426, -150028541952, 226463988840, 77611401216, -37546563125, -266999369728, -1095808961700, 377801998336, -3381208637406, -1008630835200, 257228086436, 1099511627776, -2711062636992, -4399997133312, -4909881011700, -7060867448832, -40457204426662, -9024464507392, -4824762048288, -14289154867200, -29013168626274, 6827000173056, 12667778737448, -38407306739712, 91762402437900, 57974781143040, 286872943920924, 19868518711296, 33232930569601, -9611920160000, -79509323198052, -68351838650368, 564480420537078, -280527094195200, 499137926486400, 96717311574016, -163074893793732, -865589411175936, 1802377718625462, -258209493811200, 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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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[-0.11924799342231805, 0.0], [-0.3873773965496989, 0.0], [-0.5034289455918545, 0.0], [1.5946777594267785, 0.0], [0.08414103331961142, 0.0], [-0.4689228476892214, 0.0], [-0.08058054705123978, 0.0], [-0.08730886115027013, 0.0], [-0.9672195739717585, 0.0], [-0.030209178981191104, 0.0], [-0.13199815573559334, 0.0], [1.9164038304949316, 0.0], [-0.9055166950842015, 0.0], [-0.261707719037014, 0.0], [0.010236817802913075, 0.0], [-0.04761547668933335, 0.0], [0.3522820893676713, 0.0], [-0.03551546191256843, 0.0], [-0.43612155464624486, 0.0], [0.48182505461084035, 0.0], [-0.20303617182461806, 0.0], [0.3866840568276233, 0.0], [-0.18125258787601523, 0.0], [0.38888954562543526, 0.0], [1.3611209494087217, 0.0], [0.19984489880312462, 0.0], [0.20094523789558688, 0.0], [0.7705122055213585, 0.0], [-0.08427597002788008, 0.0], [1.0118923748451225, 0.0], [0.10595424888732574, 0.0], [-0.6343373516058939, 0.0], [1.260752159707613, 0.0], [-1.4119699454533499, 0.0], [-0.2725280352099774, 0.0], [0.04417772844438746, 0.0], [-0.5471079564079886, 0.0], [-0.43716071325388267, 0.0], [-0.8079199372626162, 0.0], [-0.8368231104969454, 0.0], [-0.13404991713250478, 0.0], [0.609047221414868, 0.0], [0.03340765523905305, 0.0], [-0.08704408932417738, 0.0], [0.23965879496864007, 0.0], [-0.06798811133756394, 0.0], [0.020528958553724948, 0.0], [-0.7442187157917904, 0.0], [0.3307603795889707, 0.0], [0.025429893421373542, 0.0], [-0.49529405985976876, 0.0], [0.9991093230446513, 0.0], [-0.276996508795889, 0.0], [-0.526514003091129, 0.0], [0.6092229435451099, 0.0], [-0.09419949526734953, 0.0], [0.09241221265325672, 0.0], [-1.8401857937757151, 0.0], [-0.04846082907134375, 0.0], [0.3569246895050434, 0.0], [0.7552177994195604, 0.0], [0.1771053462958474, 0.0], [0.4542396702816161, 0.0], [0.0898685699425121, 0.0], [0.315518225794849, 0.0], [0.5795049618597066, 0.0], [-0.20787830320803474, 0.0], [-0.3283785830736873, 0.0], [-1.0111482589906706, 0.0], [-0.2901311158558049, 0.0], [-0.06341500734622656, 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[-0.0496165527003109, 0.0], [-0.997065811715559, 0.0], [0.47480796289, 0.0], [1.187954956436259, 0.0], [0.8739330403588402, 0.0], [-0.4820957886073122, 0.0], [0.06560296856553748, 0.0], [1.135452338694576, 0.0], [-0.1133123471856154, 0.0], [0.11583703366103011, 0.0], [0.3981981096616628, 0.0], [0.16599199311829949, 0.0], [0.48128904814077145, 0.0], [0.1494647843663396, 0.0], [0.713613985368862, 0.0], [0.007104063836133726, 0.0], [-0.11154628386164668, 0.0], [0.019228288511062962, 0.0], [-0.20842345353680647, 0.0], [-0.6540975425970693, 0.0], [-0.06964878981253744, 0.0], [1.029127877900623, 0.0], [-0.37314119797967327, 0.0], [0.44623074986658606, 0.0], [-0.08166996131343215, 0.0], [1.2263887371897495, 0.0], [0.5303597854600444, 0.0], [0.2703857136366183, 0.0], [0.08443016702335518, 0.0], [0.09966235450438181, 0.0], [-0.4741759356917439, 0.0], [0.6956883564070458, 0.0], [0.009575666237332175, 0.0], [0.6055061643605057, 0.0], [0.21866461722043595, 0.0], [-0.2849261106848228, 0.0], [-0.08813034263629106, 0.0], [-1.427443596230662, 0.0], [-0.3436172228268977, 0.0], [1.4139174938008519, 0.0], [0.3617098143941978, 0.0]], 'angles': [None, -0.21737801761570563, -0.33105311409060645, None, -0.31761280749479304, -0.27836900506168827, -0.2982915684040769, -0.2882610848556695, -0.2012568886736985, -0.3579742493431361, -0.2456889085498909, -0.4478446954730879, -0.29578565931376083, -0.23683247057420886, -0.07921437057549598, -0.14301927600823755, -0.10266822949972378, -0.2858076099818797, -0.2420267109980374, -0.18292414274151067, -0.3234435669744901, -0.24540270291712937, -0.2847314645580697, -0.18506907609083317, -0.2966220959321104, -0.24101014104151267, -0.10136886584334531, -0.37609524444080994, -0.3557793694362902, -0.3735090147467449, -0.24069342108671732, -0.23103401701994486, -0.2551920133315825, -0.21832262018978016, -0.28740258996676293, -0.32989115456420476, -0.11378601805019191, -0.3089598221707981, -0.40938219195008435, -0.47034186780879705, 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-0.3380192241961169, -0.30275528473677815, -0.17068947055964911, -0.17574057368421547, -0.18407696482741043, -0.1910337960659654, -0.39829466641288946, -0.2933854129981446, -0.4140645128588675, -0.35287810526869656, -0.1629090114235105, -0.2754628712743356, -0.09709460650498435, -0.197270357039172, -0.21474589054293525, -0.10312019380688388, -0.28766632691396943, -0.25240406150059913, -0.21885474833930904, -0.18705655457435547, -0.16557171512481134, -0.3747477042515366, -0.2923983589863475, -0.43594351834327394, -0.20321350555608733, -0.263878717559178, -0.27969130349144233, -0.3379747077118156, -0.29778137136049426, -0.17533511969909593, -0.15391162124974742, -0.2367755647630057, -0.2484698378449169, -0.21418866627979877, -0.19345691114415497, -0.376495954399722], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': 0.0, 'hecke_orbit': 1, 'hecke_orbit_code': 301989902, 'label': '14.18.a.a.1.1', 'level': 14, 'weight': 18}
• 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': [5, 6, 6, 7], 'Nk2': 4536, 'analytic_conductor': 25.651092228238355, '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': [14, 1, [3], [1]], 'conrey_index': 1, 'cusp_dim': 32, 'dim': 8, 'eis_dim': 4, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 301989902, 'hecke_orbit_dims': [1, 2, 2, 3], 'label': '14.18.a', 'level': 14, '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': [2, 7], 'level_radical': 14, 'mf_dim': 36, 'mf_new_dim': 8, 'num_forms': 4, 'plus_dim': 3, 'prim_orbit_index': 1, 'relative_dim': 8, 'sturm_bound': 36, 'trace_bound': 2, 'trace_display': [-512, 954, -2963166, 0], 'traces': [8, -512, 954, 524288, -2963166, 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'weight': 18, '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: 463862
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 301989902, 'source_is_minimal': True, 'source_label': '14.18.a.a.1.1', 'source_level': 14, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 301989902, 'target_is_minimal': True, 'target_label': '14.18.a.a.1.1', 'target_level': 14, 'twist_class_label': '14.18.a.a.1.1', 'twist_class_level': 14, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 18}
  • id: 463863
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 301989902, 'source_is_minimal': True, 'source_label': '14.18.a.a.1.1', 'source_level': 14, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 301990000, 'target_is_minimal': False, 'target_label': '112.18.a.a.1.1', 'target_level': 112, 'twist_class_label': '14.18.a.a.1.1', 'twist_class_level': 14, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 18}
  • id: 463864
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 301989902, 'source_is_minimal': True, 'source_label': '14.18.a.a.1.1', 'source_level': 14, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599929360482, 'target_is_minimal': False, 'target_label': '98.18.a.b.1.1', 'target_level': 98, 'twist_class_label': '14.18.a.a.1.1', 'twist_class_level': 14, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 18}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 58250
    {'charpoly_factorization': [[[-256, 1], 1]], 'hecke_orbit_code': 301989902, 'p': 2}
  • id: 58251
    {'charpoly_factorization': [[[-4626, 1], 1]], 'hecke_orbit_code': 301989902, 'p': 3}
  • id: 58252
    {'charpoly_factorization': [[[851700, 1], 1]], 'hecke_orbit_code': 301989902, 'p': 5}
  • id: 58253
    {'charpoly_factorization': [[[-5764801, 1], 1]], 'hecke_orbit_code': 301989902, 'p': 7}
  • id: 58254
    {'charpoly_factorization': [[[586048992, 1], 1]], 'hecke_orbit_code': 301989902, 'p': 11}
  • id: 58255
    {'charpoly_factorization': [[[1042966288, 1], 1]], 'hecke_orbit_code': 301989902, 'p': 13}
  • id: 58256
    {'charpoly_factorization': [[[17187488802, 1], 1]], 'hecke_orbit_code': 301989902, 'p': 17}
  • id: 58257
    {'charpoly_factorization': [[[35251814482, 1], 1]], 'hecke_orbit_code': 301989902, 'p': 19}
  • id: 58258
    {'charpoly_factorization': [[[-226463988840, 1], 1]], 'hecke_orbit_code': 301989902, 'p': 23}
  • id: 58259
    {'charpoly_factorization': [[[3381208637406, 1], 1]], 'hecke_orbit_code': 301989902, 'p': 29}
  • id: 58260
    {'charpoly_factorization': [[[-257228086436, 1], 1]], 'hecke_orbit_code': 301989902, 'p': 31}
  • id: 58261
    {'charpoly_factorization': [[[40457204426662, 1], 1]], 'hecke_orbit_code': 301989902, 'p': 37}
  • id: 58262
    {'charpoly_factorization': [[[29013168626274, 1], 1]], 'hecke_orbit_code': 301989902, 'p': 41}
  • id: 58263
    {'charpoly_factorization': [[[-12667778737448, 1], 1]], 'hecke_orbit_code': 301989902, 'p': 43}
  • id: 58264
    {'charpoly_factorization': [[[-286872943920924, 1], 1]], 'hecke_orbit_code': 301989902, 'p': 47}
  • id: 58265
    {'charpoly_factorization': [[[-564480420537078, 1], 1]], 'hecke_orbit_code': 301989902, 'p': 53}
  • id: 58266
    {'charpoly_factorization': [[[-1802377718625462, 1], 1]], 'hecke_orbit_code': 301989902, 'p': 59}
  • id: 58267
    {'charpoly_factorization': [[[668064962693740, 1], 1]], 'hecke_orbit_code': 301989902, 'p': 61}
  • id: 58268
    {'charpoly_factorization': [[[-332890586370548, 1], 1]], 'hecke_orbit_code': 301989902, 'p': 67}
  • id: 58269
    {'charpoly_factorization': [[[-4451829225077376, 1], 1]], 'hecke_orbit_code': 301989902, 'p': 71}
  • id: 58270
    {'charpoly_factorization': [[[6135974687950990, 1], 1]], 'hecke_orbit_code': 301989902, 'p': 73}
  • id: 58271
    {'charpoly_factorization': [[[-778901092563704, 1], 1]], 'hecke_orbit_code': 301989902, 'p': 79}
  • id: 58272
    {'charpoly_factorization': [[[8884730852317194, 1], 1]], 'hecke_orbit_code': 301989902, 'p': 83}
  • id: 58273
    {'charpoly_factorization': [[[-29468733723774090, 1], 1]], 'hecke_orbit_code': 301989902, 'p': 89}
  • id: 58274
    {'charpoly_factorization': [[[44579205354290530, 1], 1]], 'hecke_orbit_code': 301989902, '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': 1, 'label': '14.18.a.a', 'level': 14, 'portrait': 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', 'weight': 18}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 3936048
    {'hecke_orbit_code': 301989902, 'n': 1, 'trace_an': 1}
  • id: 3936049
    {'hecke_orbit_code': 301989902, 'n': 2, 'trace_an': 256}
  • id: 3936050
    {'hecke_orbit_code': 301989902, 'n': 3, 'trace_an': 4626}
  • id: 3936051
    {'hecke_orbit_code': 301989902, 'n': 4, 'trace_an': 65536}
  • id: 3936052
    {'hecke_orbit_code': 301989902, 'n': 5, 'trace_an': -851700}
  • id: 3936053
    {'hecke_orbit_code': 301989902, 'n': 6, 'trace_an': 1184256}
  • id: 3936054
    {'hecke_orbit_code': 301989902, 'n': 7, 'trace_an': 5764801}
  • id: 3936055
    {'hecke_orbit_code': 301989902, 'n': 8, 'trace_an': 16777216}
  • id: 3936056
    {'hecke_orbit_code': 301989902, 'n': 9, 'trace_an': -107740287}
  • id: 3936057
    {'hecke_orbit_code': 301989902, 'n': 10, 'trace_an': -218035200}
  • id: 3936058
    {'hecke_orbit_code': 301989902, 'n': 11, 'trace_an': -586048992}
  • id: 3936059
    {'hecke_orbit_code': 301989902, 'n': 12, 'trace_an': 303169536}
  • id: 3936060
    {'hecke_orbit_code': 301989902, 'n': 13, 'trace_an': -1042966288}
  • id: 3936061
    {'hecke_orbit_code': 301989902, 'n': 14, 'trace_an': 1475789056}
  • id: 3936062
    {'hecke_orbit_code': 301989902, 'n': 15, 'trace_an': -3939964200}
  • id: 3936063
    {'hecke_orbit_code': 301989902, 'n': 16, 'trace_an': 4294967296}
  • id: 3936064
    {'hecke_orbit_code': 301989902, 'n': 17, 'trace_an': -17187488802}
  • id: 3936065
    {'hecke_orbit_code': 301989902, 'n': 18, 'trace_an': -27581513472}
  • id: 3936066
    {'hecke_orbit_code': 301989902, 'n': 19, 'trace_an': -35251814482}
  • id: 3936067
    {'hecke_orbit_code': 301989902, 'n': 20, 'trace_an': -55817011200}
  • id: 3936068
    {'hecke_orbit_code': 301989902, 'n': 21, 'trace_an': 26667969426}
  • id: 3936069
    {'hecke_orbit_code': 301989902, 'n': 22, 'trace_an': -150028541952}
  • id: 3936070
    {'hecke_orbit_code': 301989902, 'n': 23, 'trace_an': 226463988840}
  • id: 3936071
    {'hecke_orbit_code': 301989902, 'n': 24, 'trace_an': 77611401216}
  • id: 3936072
    {'hecke_orbit_code': 301989902, 'n': 25, 'trace_an': -37546563125}
  • id: 3936073
    {'hecke_orbit_code': 301989902, 'n': 26, 'trace_an': -266999369728}
  • id: 3936074
    {'hecke_orbit_code': 301989902, 'n': 27, 'trace_an': -1095808961700}
  • id: 3936075
    {'hecke_orbit_code': 301989902, 'n': 28, 'trace_an': 377801998336}
  • id: 3936076
    {'hecke_orbit_code': 301989902, 'n': 29, 'trace_an': -3381208637406}
  • id: 3936077
    {'hecke_orbit_code': 301989902, 'n': 30, 'trace_an': -1008630835200}
  • id: 3936078
    {'hecke_orbit_code': 301989902, 'n': 31, 'trace_an': 257228086436}
  • id: 3936079
    {'hecke_orbit_code': 301989902, 'n': 32, 'trace_an': 1099511627776}
  • id: 3936080
    {'hecke_orbit_code': 301989902, 'n': 33, 'trace_an': -2711062636992}
  • id: 3936081
    {'hecke_orbit_code': 301989902, 'n': 34, 'trace_an': -4399997133312}
  • id: 3936082
    {'hecke_orbit_code': 301989902, 'n': 35, 'trace_an': -4909881011700}
  • id: 3936083
    {'hecke_orbit_code': 301989902, 'n': 36, 'trace_an': -7060867448832}
  • id: 3936084
    {'hecke_orbit_code': 301989902, 'n': 37, 'trace_an': -40457204426662}
  • id: 3936085
    {'hecke_orbit_code': 301989902, 'n': 38, 'trace_an': -9024464507392}
  • id: 3936086
    {'hecke_orbit_code': 301989902, 'n': 39, 'trace_an': -4824762048288}
  • id: 3936087
    {'hecke_orbit_code': 301989902, 'n': 40, 'trace_an': -14289154867200}
  • id: 3936088
    {'hecke_orbit_code': 301989902, 'n': 41, 'trace_an': -29013168626274}
  • id: 3936089
    {'hecke_orbit_code': 301989902, 'n': 42, 'trace_an': 6827000173056}
  • id: 3936090
    {'hecke_orbit_code': 301989902, 'n': 43, 'trace_an': 12667778737448}
  • id: 3936091
    {'hecke_orbit_code': 301989902, 'n': 44, 'trace_an': -38407306739712}
  • id: 3936092
    {'hecke_orbit_code': 301989902, 'n': 45, 'trace_an': 91762402437900}
  • id: 3936093
    {'hecke_orbit_code': 301989902, 'n': 46, 'trace_an': 57974781143040}
  • id: 3936094
    {'hecke_orbit_code': 301989902, 'n': 47, 'trace_an': 286872943920924}
  • id: 3936095
    {'hecke_orbit_code': 301989902, 'n': 48, 'trace_an': 19868518711296}
  • id: 3936096
    {'hecke_orbit_code': 301989902, 'n': 49, 'trace_an': 33232930569601}
  • id: 3936097
    {'hecke_orbit_code': 301989902, 'n': 50, 'trace_an': -9611920160000}
  • id: 3936098
    {'hecke_orbit_code': 301989902, 'n': 51, 'trace_an': -79509323198052}
  • id: 3936099
    {'hecke_orbit_code': 301989902, 'n': 52, 'trace_an': -68351838650368}
  • id: 3936100
    {'hecke_orbit_code': 301989902, 'n': 53, 'trace_an': 564480420537078}
  • id: 3936101
    {'hecke_orbit_code': 301989902, 'n': 54, 'trace_an': -280527094195200}
  • id: 3936102
    {'hecke_orbit_code': 301989902, 'n': 55, 'trace_an': 499137926486400}
  • id: 3936103
    {'hecke_orbit_code': 301989902, 'n': 56, 'trace_an': 96717311574016}
  • id: 3936104
    {'hecke_orbit_code': 301989902, 'n': 57, 'trace_an': -163074893793732}
  • id: 3936105
    {'hecke_orbit_code': 301989902, 'n': 58, 'trace_an': -865589411175936}
  • id: 3936106
    {'hecke_orbit_code': 301989902, 'n': 59, 'trace_an': 1802377718625462}
  • id: 3936107
    {'hecke_orbit_code': 301989902, 'n': 60, 'trace_an': -258209493811200}
  • id: 3936108
    {'hecke_orbit_code': 301989902, 'n': 61, 'trace_an': -668064962693740}
  • id: 3936109
    {'hecke_orbit_code': 301989902, 'n': 62, 'trace_an': 65850390127616}
  • id: 3936110
    {'hecke_orbit_code': 301989902, 'n': 63, 'trace_an': -621101314237887}
  • id: 3936111
    {'hecke_orbit_code': 301989902, 'n': 64, 'trace_an': 281474976710656}
  • id: 3936112
    {'hecke_orbit_code': 301989902, 'n': 65, 'trace_an': 888294387489600}
  • id: 3936113
    {'hecke_orbit_code': 301989902, 'n': 66, 'trace_an': -694032035069952}
  • id: 3936114
    {'hecke_orbit_code': 301989902, 'n': 67, 'trace_an': 332890586370548}
  • id: 3936115
    {'hecke_orbit_code': 301989902, 'n': 68, 'trace_an': -1126399266127872}
  • id: 3936116
    {'hecke_orbit_code': 301989902, 'n': 69, 'trace_an': 1047622412373840}
  • id: 3936117
    {'hecke_orbit_code': 301989902, 'n': 70, 'trace_an': -1256929538995200}
  • id: 3936118
    {'hecke_orbit_code': 301989902, 'n': 71, 'trace_an': 4451829225077376}
  • id: 3936119
    {'hecke_orbit_code': 301989902, 'n': 72, 'trace_an': -1807582066900992}
  • id: 3936120
    {'hecke_orbit_code': 301989902, 'n': 73, 'trace_an': -6135974687950990}
  • id: 3936121
    {'hecke_orbit_code': 301989902, 'n': 74, 'trace_an': -10357044333225472}
  • id: 3936122
    {'hecke_orbit_code': 301989902, 'n': 75, 'trace_an': -173690401016250}
  • id: 3936123
    {'hecke_orbit_code': 301989902, 'n': 76, 'trace_an': -2310262913892352}
  • id: 3936124
    {'hecke_orbit_code': 301989902, 'n': 77, 'trace_an': -3378455815130592}
  • id: 3936125
    {'hecke_orbit_code': 301989902, 'n': 78, 'trace_an': -1235139084361728}
  • id: 3936126
    {'hecke_orbit_code': 301989902, 'n': 79, 'trace_an': 778901092563704}
  • id: 3936127
    {'hecke_orbit_code': 301989902, 'n': 80, 'trace_an': -3658023646003200}
  • id: 3936128
    {'hecke_orbit_code': 301989902, 'n': 81, 'trace_an': 8844385968022581}
  • id: 3936129
    {'hecke_orbit_code': 301989902, 'n': 82, 'trace_an': -7427371168326144}
  • id: 3936130
    {'hecke_orbit_code': 301989902, 'n': 83, 'trace_an': -8884730852317194}
  • id: 3936131
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