Newform data - 75.18.b.d

Formats: - HTML - YAML - JSON - 2026-06-14T12:53:55.507381

• 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': 24300, 'analytic_conductor': 137.41656550841975, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 5, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': 1, 'char_values': [75, 2, [26, 52], [2, 1]], 'cm_discs': [], 'conrey_index': 49, 'dim': 6, 'field_disc': -3651573224995994050624, 'field_disc_factorization': [[-1, 1], [2, 6], [7553531071, 2]], 'field_poly': [15373811250, -3264490950, 346592689, -175350, 0, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[2, [4032221552050176, 0, 117637801984, 0, 691364, 0, 1]]], 'hecke_orbit': 4, 'hecke_orbit_code': 13510867903578187, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 3686400, 'hecke_ring_index_factorization': [[2, 14], [3, 2], [5, 2]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 2, 1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '75.18.b.d', 'level': 75, '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': [3, 5], 'level_radical': 15, 'minimal_twist': '15.18.a.b', 'prim_orbit_index': 2, 'qexp_display': 'q+(-147\\beta _{1}-\\beta _{3})q^{2}+3^{8}\\beta _{1}q^{3}+(-99318+\\cdots)q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 6, 'rm_discs': [], 'sato_tate_group': '17.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '75.18.b', 'trace_display': [0, 0, 0, 0], 'trace_hash': 1880030672901911229, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.438', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.482', 'prec': 17}, {'__RealLiteral__': 0, 'data': '158.992', 'prec': 24}, {'__RealLiteral__': 0, 'data': '92.691', 'prec': 20}, {'__RealLiteral__': 0, 'data': '6647.965', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.508', 'prec': 17}, 'traces': [6, 0, 0, -596296, 0, 5799924, 0, 0, -258280326, 0, 2099699440, 0, 0, -55172056656, 0, 44785594912, 0, 0, 223792235992, 0, -65119814568, 0, 0, -1428092349264, 0, -2185023682088, 0, 0, -2790704307356, 0, -24916395233072, 0, 0, 82093454542328, 0, 25668587545416, 0, 0, -40569839704980, 0, -204553834784932, 0, 0, -639773961306944, 0, -599445867863712, 0, 0, -1405872409414454, 0, 198403853913468, 0, 0, -249667710249204, 0, 6028814186944320, 0, 0, -4151068352989072, 0, -3182256376855996, 0, 0, -8028923889409152, 0, 9104284279105056, 0, 0, 10294675204609584, 0, 10038971187346112, 0, 0, 24280951443592744, 0, -6579566383323168, 0, 0, 81284263314363920, 0, 11118121133111046, 0, 0, -100254515581138464, 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• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
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-13604261656786347972413, 0, 117026922738516444577]], 'char_orbit_index': 2, 'field_poly': [15373811250, -3264490950, 346592689, -175350, 0, 0, 1], 'hecke_orbit_code': 13510867903578187, 'hecke_ring_character_values': [[26, [1, 0, 0, 0, 0, 0]], [52, [-1, 0, 0, 0, 0, 0]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 565050398837660400, 16514874787813, 23167066352344076400, 16514874787813, 7722355450781358800], 'hecke_ring_inverse_denominators': [1, 960, 480, 960, 30, 960], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0, 0, 0], [-20, -20, 61, 61, -1, -1], [0, 5954740, 0, 8071, 0, 29], [84540340, -84540340, -1135637, 1135637, 18617, -18617], [-6928821755, 0, -9056852, 0, -39223, 0], [2618051168780, 2618051168780, -19726904179, -19726904179, 351677839, 351677839]], 'hecke_ring_numerators': [[1, 0, 0, 0, 0, 0], [-566398297739004150, 119983384946230096, -30387514008075, 7686905625, 1632245475, 346592689], [-9737024196859537, 0, 6877753050, -1460429182, -43641908, -78446], [13742725234890628784850, -2911121950865853845264, 1875684419624457225, 1571771370817725, -40048537463025, -8503947783851], [-669042057964052517, 0, -1588118998200, 337222827368, -2554316138, 18113704], [314544864457590753292950, -66639069692241102194608, 39086005173314804075, -167384841773882425, -865192509744675, -183715870589297]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 6, 'label': '75.18.b.d', 'level': 75, 'maxp': 997, '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

  
  {'Nk2': 24300, 'analytic_conductor': 137.41656550841975, 'char_conductor': 5, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': 1, 'char_values': [75, 2, [26, 52], [2, 1]], 'conrey_index': 49, 'cusp_dim': 164, 'dim': 52, 'eis_dim': 12, 'eis_new_dim': 0, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 69021466699, 'hecke_orbit_dims': [2, 4, 4, 6, 6, 8, 10, 12], 'label': '75.18.b', 'level': 75, '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': [3, 5], 'level_radical': 15, 'mf_dim': 176, 'mf_new_dim': 52, 'num_forms': 8, 'prim_orbit_index': 2, 'relative_dim': 52, 'sturm_bound': 180, 'trace_bound': 4, 'trace_display': [0, 0, 0, 0], 'traces': [52, 0, 0, -3648556, 0, 1600884, 0, 0, -2238429492, 0, -1334042212, 0, 0, -52886269524, 0, 185795789620, 0, 0, 63473515666, 0, 216718608618, 0, 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-40585729947079436532188136, 0, -57198382996431650192944416, 0, 0, 63288278130521516841428202, 0, -182232103637817891162972488, 0, 0, -145476166325676638291426584, 0, 183147447511610468960609880, 0, 0, 230108700165391996262935004, 0, -56427785363191271084557020, 0, 0, -30721635188616974354044272, 0, 80990985576416666110898896, 0, 0, -265693613267438033700950364, 0, -150776957484801789538290678, 0, 0, 337965440892280281755921992, 0, -156091670783182019427678504, 0, 0, 100250361368681598307659348, 0, 185773259070328979794092492, 0, 0, 31677635278678744137592148, 0, -224909885152675126807989256, 0, 0, -135508311353818040674335984, 0, -11765804050684273665286566, 0, 0, 86511642842537933694165720, 0, -185553896268424196400787616, 0, 0, 204031700657106478231179084, 0, -32801037757960351902669286, 0, 0, -206259958991374888998338208, 0, -20011764795416005374404640, 0, 0, -20782248610885410919581648, 0], 'weight': 18, 'weight_parity': 1}
• mf_twists_nf •

  Column	Type
  conductor	integer
  degree	integer
  multiplicity	smallint
  order	integer
  parity	smallint
  self_twist_disc	integer
  source_char_orbit	smallint
  source_dim	integer
  source_hecke_orbit	integer
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_char_orbit	smallint
  target_dim	integer
  target_hecke_orbit	integer
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_char_orbit	smallint
  weight	smallint

  
  
  • id: 66186
    {'conductor': 5, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 6, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '75.18.b.d', 'source_level': 75, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '15.18.a.b', 'target_level': 15, 'twist_class_label': '15.18.a.b', 'twist_class_level': 15, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 18}
  • id: 66187
    {'conductor': 15, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 6, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '75.18.b.d', 'source_level': 75, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '45.18.a.e', 'target_level': 45, 'twist_class_label': '15.18.a.b', 'twist_class_level': 15, 'twisting_char_label': '15.e', 'twisting_char_orbit': 5, 'weight': 18}
  • id: 66188
    {'conductor': 5, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 6, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '75.18.b.d', 'source_level': 75, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '75.18.a.e', 'target_level': 75, 'twist_class_label': '15.18.a.b', 'twist_class_level': 15, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 18}
  • id: 66189
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 2, 'source_dim': 6, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '75.18.b.d', 'source_level': 75, 'target_char_orbit': 2, 'target_dim': 6, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '75.18.b.d', 'target_level': 75, 'twist_class_label': '15.18.a.b', 'twist_class_level': 15, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 18}
  • id: 66190
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 6, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '75.18.b.d', 'source_level': 75, 'target_char_orbit': 2, 'target_dim': 6, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '75.18.b.d', 'target_level': 75, 'twist_class_label': '15.18.a.b', 'twist_class_level': 15, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 18}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 238050
    {'charpoly_factorization': [[[4032221552050176, 0, 117637801984, 0, 691364, 0, 1], 1]], 'hecke_orbit_code': 13510867903578187, 'p': 2}
  • id: 238051
    {'charpoly_factorization': [[[43046721, 0, 1], 3]], 'hecke_orbit_code': 13510867903578187, 'p': 3}
  • id: 238052
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 13510867903578187, 'p': 5}
  • id: 238053
    {'charpoly_factorization': [[[23665477358125155552095160173145139097702400, 0, 521765272145078488617578078976, 0, 1400827746668848, 0, 1], 1]], 'hecke_orbit_code': 13510867903578187, 'p': 7}
  • id: 238054
    {'charpoly_factorization': [[[320123513672108657296896, 33646469267063488, -1049849720, 1], 2]], 'hecke_orbit_code': 13510867903578187, 'p': 11}
  • id: 238055
    {'charpoly_factorization': [[[23422693806314262313508781271740681824102637768851328064, 0, 36048600539823137287358870727182931504, 0, 14507563367843239116, 0, 1], 1]], 'hecke_orbit_code': 13510867903578187, 'p': 13}
  • id: 238056
    {'charpoly_factorization': [[[388479680906901651992204703158909558085706984839956925633190464, 0, 2253154807644810233053272646670849086316848, 0, 3604515108463487664812, 0, 1], 1]], 'hecke_orbit_code': 13510867903578187, 'p': 17}
  • id: 238057
    {'charpoly_factorization': [[[-3033801259014309938952998862400, -2294606736053098079440, -111896117996, 1], 2]], 'hecke_orbit_code': 13510867903578187, 'p': 19}
  • id: 238058
    {'charpoly_factorization': [[[6037089188985986494266134409379439323231394793577976937166464614400, 0, 15855868642890649838443304807781382264159481856, 0, 396401638018766120816832, 0, 1], 1]], 'hecke_orbit_code': 13510867903578187, 'p': 23}
  • id: 238059
    {'charpoly_factorization': [[[-6456430374720481690864304035686663000, -12920736140123503099944980, 1395352153678, 1], 2]], 'hecke_orbit_code': 13510867903578187, 'p': 29}
  • id: 238060
    {'charpoly_factorization': [[[53588481656373302902706434570900185600, 48048677593411608720863424, 12458197616536, 1], 2]], 'hecke_orbit_code': 13510867903578187, 'p': 31}
  • id: 238061
    {'charpoly_factorization': [[[307530913023992240098325126196601248436526622000447929090025383651912182779841600, 0, 1606594577074122489146347745116475509040900292455044656, 0, 2417043985914263656039025868, 0, 1], 1]], 'hecke_orbit_code': 13510867903578187, 'p': 37}
  • id: 238062
    {'charpoly_factorization': [[[-69896902967912311562960719061268582909480, 1339992056735490172118500204, 102276917392466, 1], 2]], 'hecke_orbit_code': 13510867903578187, 'p': 41}
  • id: 238063
    {'charpoly_factorization': [[[1753048480176094321862399590548097148334754678946248949606746199710466946660929536, 0, 19086628905355170029718577754320408735796267055893115648, 0, 8857446561591060247490605488, 0, 1], 1]], 'hecke_orbit_code': 13510867903578187, 'p': 43}
  • id: 238064
    {'charpoly_factorization': [[[3077013295499823046490906155337163377713186283449427375088669561823442959094513664, 0, 56674492072419936571938854044622865528033882466355458048, 0, 18770556082692363195938270912, 0, 1], 1]], 'hecke_orbit_code': 13510867903578187, 'p': 47}
  • id: 238065
    {'charpoly_factorization': [[[949798122276823592258203236983260695114109014797091884844636776501789906035864532174400, 0, 29914468846099446233939945766164778422393562363258170414896, 0, 305045185094849375476489873772, 0, 1], 1]], 'hecke_orbit_code': 13510867903578187, 'p': 53}
  • id: 238066
    {'charpoly_factorization': [[[-389139797842675837695444623043889023622310400, 296544827140881832641983262400, 2075534176494536, 1], 2]], 'hecke_orbit_code': 13510867903578187, 'p': 59}
  • id: 238067
    {'charpoly_factorization': [[[-5521213811689176123645900649219987427851589912, -4316095992824054671884391385044, 1591128188427998, 1], 2]], 'hecke_orbit_code': 13510867903578187, 'p': 61}
  • id: 238068
    {'charpoly_factorization': [[[9441158699088773438464306455229139303106979468521376180893139531749237872748330338161496064, 0, 32641659963832166752813662246077908800700219854077128160686848, 0, 19629411136885186464886515873712, 0, 1], 1]], 'hecke_orbit_code': 13510867903578187, 'p': 67}
  • id: 238069
    {'charpoly_factorization': [[[11286410240038103975558206760851494223299182592, -4266940864118241603854582002688, -5019485593673056, 1], 2]], 'hecke_orbit_code': 13510867903578187, 'p': 71}
  • id: 238070
    {'charpoly_factorization': [[[326618326503354164763297314396835899261185289962158303431601090298521537758075633243062723240000, 0, 17076344433993161293417912223723141318915117243364680841716871216, 0, 254237331726844898384827279726092, 0, 1], 1]], 'hecke_orbit_code': 13510867903578187, 'p': 73}
  • id: 238071
    {'charpoly_factorization': [[[876140730617627652564853766966761670613797952000, 343803344874555073566861006648000, -40642131657181960, 1], 2]], 'hecke_orbit_code': 13510867903578187, 'p': 79}
  • id: 238072
    {'charpoly_factorization': [[[17840338042293783296784518954147858268985340688141706516734639458469595951475258687359846849941504, 0, 241329626350758790446769336038154592710446924840208462968034800384, 0, 953648501248035816757743742171056, 0, 1], 1]], 'hecke_orbit_code': 13510867903578187, 'p': 83}
  • id: 238073
    {'charpoly_factorization': [[[2878862109524369308153801149849721891234252096200, -644045682014747905529427485708340, -2700230040372426, 1], 2]], 'hecke_orbit_code': 13510867903578187, 'p': 89}
  • id: 238074
    {'charpoly_factorization': [[[1358151863567600073358833502706634911964203821007493063791708826746157112718437062483908067471697984, 0, 15754396948204830956039227430567352951403108040003365481395298473008, 0, 12646825848606963671414911862037132, 0, 1], 1]], 'hecke_orbit_code': 13510867903578187, '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': 2, 'hecke_orbit': 4, 'label': '75.18.b.d', 'level': 75, 'portrait': 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', 'weight': 18}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 35966209
    {'hecke_orbit_code': 13510867903578187, 'n': 1, 'trace_an': 6}
  • id: 35966210
    {'hecke_orbit_code': 13510867903578187, 'n': 2, 'trace_an': 0}
  • id: 35966211
    {'hecke_orbit_code': 13510867903578187, 'n': 3, 'trace_an': 0}
  • id: 35966212
    {'hecke_orbit_code': 13510867903578187, 'n': 4, 'trace_an': -596296}
  • id: 35966213
    {'hecke_orbit_code': 13510867903578187, 'n': 5, 'trace_an': 0}
  • id: 35966214
    {'hecke_orbit_code': 13510867903578187, 'n': 6, 'trace_an': 5799924}
  • id: 35966215
    {'hecke_orbit_code': 13510867903578187, 'n': 7, 'trace_an': 0}
  • id: 35966216
    {'hecke_orbit_code': 13510867903578187, 'n': 8, 'trace_an': 0}
  • id: 35966217
    {'hecke_orbit_code': 13510867903578187, 'n': 9, 'trace_an': -258280326}
  • id: 35966218
    {'hecke_orbit_code': 13510867903578187, 'n': 10, 'trace_an': 0}
  • id: 35966219
    {'hecke_orbit_code': 13510867903578187, 'n': 11, 'trace_an': 2099699440}
  • id: 35966220
    {'hecke_orbit_code': 13510867903578187, 'n': 12, 'trace_an': 0}
  • id: 35966221
    {'hecke_orbit_code': 13510867903578187, 'n': 13, 'trace_an': 0}
  • id: 35966222
    {'hecke_orbit_code': 13510867903578187, 'n': 14, 'trace_an': -55172056656}
  • id: 35966223
    {'hecke_orbit_code': 13510867903578187, 'n': 15, 'trace_an': 0}
  • id: 35966224
    {'hecke_orbit_code': 13510867903578187, 'n': 16, 'trace_an': 44785594912}
  • id: 35966225
    {'hecke_orbit_code': 13510867903578187, 'n': 17, 'trace_an': 0}
  • id: 35966226
    {'hecke_orbit_code': 13510867903578187, 'n': 18, 'trace_an': 0}
  • id: 35966227
    {'hecke_orbit_code': 13510867903578187, 'n': 19, 'trace_an': 223792235992}
  • id: 35966228
    {'hecke_orbit_code': 13510867903578187, 'n': 20, 'trace_an': 0}
  • id: 35966229
    {'hecke_orbit_code': 13510867903578187, 'n': 21, 'trace_an': -65119814568}
  • id: 35966230
    {'hecke_orbit_code': 13510867903578187, 'n': 22, 'trace_an': 0}
  • id: 35966231
    {'hecke_orbit_code': 13510867903578187, 'n': 23, 'trace_an': 0}
  • id: 35966232
    {'hecke_orbit_code': 13510867903578187, 'n': 24, 'trace_an': -1428092349264}
  • id: 35966233
    {'hecke_orbit_code': 13510867903578187, 'n': 25, 'trace_an': 0}
  • id: 35966234
    {'hecke_orbit_code': 13510867903578187, 'n': 26, 'trace_an': -2185023682088}
  • id: 35966235
    {'hecke_orbit_code': 13510867903578187, 'n': 27, 'trace_an': 0}
  • id: 35966236
    {'hecke_orbit_code': 13510867903578187, 'n': 28, 'trace_an': 0}
  • id: 35966237
    {'hecke_orbit_code': 13510867903578187, 'n': 29, 'trace_an': -2790704307356}
  • id: 35966238
    {'hecke_orbit_code': 13510867903578187, 'n': 30, 'trace_an': 0}
  • id: 35966239
    {'hecke_orbit_code': 13510867903578187, 'n': 31, 'trace_an': -24916395233072}
  • id: 35966240
    {'hecke_orbit_code': 13510867903578187, 'n': 32, 'trace_an': 0}
  • id: 35966241
    {'hecke_orbit_code': 13510867903578187, 'n': 33, 'trace_an': 0}
  • id: 35966242
    {'hecke_orbit_code': 13510867903578187, 'n': 34, 'trace_an': 82093454542328}
  • id: 35966243
    {'hecke_orbit_code': 13510867903578187, 'n': 35, 'trace_an': 0}
  • id: 35966244
    {'hecke_orbit_code': 13510867903578187, 'n': 36, 'trace_an': 25668587545416}
  • id: 35966245
    {'hecke_orbit_code': 13510867903578187, 'n': 37, 'trace_an': 0}
  • id: 35966246
    {'hecke_orbit_code': 13510867903578187, 'n': 38, 'trace_an': 0}
  • id: 35966247
    {'hecke_orbit_code': 13510867903578187, 'n': 39, 'trace_an': -40569839704980}
  • id: 35966248
    {'hecke_orbit_code': 13510867903578187, 'n': 40, 'trace_an': 0}
  • id: 35966249
    {'hecke_orbit_code': 13510867903578187, 'n': 41, 'trace_an': -204553834784932}
  • id: 35966250
    {'hecke_orbit_code': 13510867903578187, 'n': 42, 'trace_an': 0}
  • id: 35966251
    {'hecke_orbit_code': 13510867903578187, 'n': 43, 'trace_an': 0}
  • id: 35966252
    {'hecke_orbit_code': 13510867903578187, 'n': 44, 'trace_an': -639773961306944}
  • id: 35966253
    {'hecke_orbit_code': 13510867903578187, 'n': 45, 'trace_an': 0}
  • id: 35966254
    {'hecke_orbit_code': 13510867903578187, 'n': 46, 'trace_an': -599445867863712}
  • id: 35966255
    {'hecke_orbit_code': 13510867903578187, 'n': 47, 'trace_an': 0}
  • id: 35966256
    {'hecke_orbit_code': 13510867903578187, 'n': 48, 'trace_an': 0}
  • id: 35966257
    {'hecke_orbit_code': 13510867903578187, 'n': 49, 'trace_an': -1405872409414454}
  • id: 35966258
    {'hecke_orbit_code': 13510867903578187, 'n': 50, 'trace_an': 0}
  • id: 35966259
    {'hecke_orbit_code': 13510867903578187, 'n': 51, 'trace_an': 198403853913468}
  • id: 35966260
    {'hecke_orbit_code': 13510867903578187, 'n': 52, 'trace_an': 0}
  • id: 35966261
    {'hecke_orbit_code': 13510867903578187, 'n': 53, 'trace_an': 0}
  • id: 35966262
    {'hecke_orbit_code': 13510867903578187, 'n': 54, 'trace_an': -249667710249204}
  • id: 35966263
    {'hecke_orbit_code': 13510867903578187, 'n': 55, 'trace_an': 0}
  • id: 35966264
    {'hecke_orbit_code': 13510867903578187, 'n': 56, 'trace_an': 6028814186944320}
  • id: 35966265
    {'hecke_orbit_code': 13510867903578187, 'n': 57, 'trace_an': 0}
  • id: 35966266
    {'hecke_orbit_code': 13510867903578187, 'n': 58, 'trace_an': 0}
  • id: 35966267
    {'hecke_orbit_code': 13510867903578187, 'n': 59, 'trace_an': -4151068352989072}
  • id: 35966268
    {'hecke_orbit_code': 13510867903578187, 'n': 60, 'trace_an': 0}
  • id: 35966269
    {'hecke_orbit_code': 13510867903578187, 'n': 61, 'trace_an': -3182256376855996}
  • id: 35966270
    {'hecke_orbit_code': 13510867903578187, 'n': 62, 'trace_an': 0}
  • id: 35966271
    {'hecke_orbit_code': 13510867903578187, 'n': 63, 'trace_an': 0}
  • id: 35966272
    {'hecke_orbit_code': 13510867903578187, 'n': 64, 'trace_an': -8028923889409152}
  • id: 35966273
    {'hecke_orbit_code': 13510867903578187, 'n': 65, 'trace_an': 0}
  • id: 35966274
    {'hecke_orbit_code': 13510867903578187, 'n': 66, 'trace_an': 9104284279105056}
  • id: 35966275
    {'hecke_orbit_code': 13510867903578187, 'n': 67, 'trace_an': 0}
  • id: 35966276
    {'hecke_orbit_code': 13510867903578187, 'n': 68, 'trace_an': 0}
  • id: 35966277
    {'hecke_orbit_code': 13510867903578187, 'n': 69, 'trace_an': 10294675204609584}
  • id: 35966278
    {'hecke_orbit_code': 13510867903578187, 'n': 70, 'trace_an': 0}
  • id: 35966279
    {'hecke_orbit_code': 13510867903578187, 'n': 71, 'trace_an': 10038971187346112}
  • id: 35966280
    {'hecke_orbit_code': 13510867903578187, 'n': 72, 'trace_an': 0}
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    {'hecke_orbit_code': 13510867903578187, 'n': 971, 'trace_an': -123782168311245832497896352}
  • id: 35966463
    {'hecke_orbit_code': 13510867903578187, 'n': 977, 'trace_an': 0}
  • id: 35966464
    {'hecke_orbit_code': 13510867903578187, 'n': 983, 'trace_an': 0}
  • id: 35966465
    {'hecke_orbit_code': 13510867903578187, 'n': 991, 'trace_an': 67906107438741982822621152}
  • id: 35966466
    {'hecke_orbit_code': 13510867903578187, 'n': 997, 'trace_an': 0}