Newform data - 75.18.b.c

Formats: - HTML - YAML - JSON - 2026-06-11T23:31:51.201841

• 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': 4, 'field_disc': 3396092176, 'field_disc_factorization': [[2, 4], [17, 2], [857, 2]], 'field_poly': [13264164, 0, 7285, 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, [1841439744, 0, 438660, 0, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007268276207691, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 36, 'hecke_ring_index_factorization': [[2, 2], [3, 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.c', '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': '3.18.a.b', 'prim_orbit_index': 2, 'qexp_display': 'q+(-297\\beta _{1}+\\beta _{2})q^{2}+3^{8}\\beta _{1}q^{3}+(-88258+\\cdots)q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 4, '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': 1354372562774299708, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.815', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '70.231', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1814.312', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.508', 'prec': 17}, 'traces': [4, 0, 0, -353032, 0, 7794468, 0, 0, -172186884, 0, -1975107024, 0, 0, 871130592, 0, 101222647840, 0, 0, -160107084368, 0, 321115915296, 0, 0, -1710324524304, 0, -3271074310152, 0, 0, 940748139144, 0, 6801508909184, 0, 0, 31560807077496, 0, 15196870008072, 0, 0, 33059543757768, 0, -226753598897496, 0, 0, 134401550668704, 0, 892754246777184, 0, 0, -120938724951780, 0, -450256844148408, 0, 0, -335526289339428, 0, 1131160692493440, 0, 0, -3455048462172912, 0, 5568575312055800, 0, 0, 1989067138846592, 0, -3407820798854736, 0, 0, -3900235561761888, 0, -26978804413009632, 0, 0, -36777885524146008, 0, 50504695338222752, 0, 0, -8752083130429760, 0, 7412080755407364, 0, 0, 31704578854077888, 0, 134369768304319536, 0, 0, -13944368192214888, 0, -9524393144653376, 0, 0, 198330629404615488, 0, 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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

  
  {'an': [[1, 0, 0, 0], [0, -297, 1, 0], [0, 6561, 0, 0], [-88258, 0, 0, 594], [0, 0, 0, 0], [1948617, 0, 0, -6561], [0, -12235784, -29376, 0], [0, 65170116, -133604, 0], [-43046721, 0, 0, 0], [0, 0, 0, 0], [-493776756, 0, 0, -128128], [0, -579060738, 3897234, 0], [0, -1259699122, 3383424, 0], [217782648, 0, 0, 3511112], [0, 0, 0, 0], [25305661960, 0, 0, -26993736], [0, 17156563182, -21313920, 0], [0, 12784876137, -43046721, 0], [-40026771092, 0, 0, 116754048], [0, 0, 0, 0], [80278978824, 0, 0, 192735936], [0, 129851425044, -455722740, 0], [0, 148614371352, -1365533312, 0], [-427581131076, 0, 0, 876575844], [0, 0, 0, 0], [-817768577538, 0, 0, 2264576050], [0, -282429536481, 0, 0], [0, -1208069610352, -4675388688, 0], [235187034786, 0, 0, -2063000384], [0, 0, 0, 0], [1700377227296, 0, 0, -4379766336], [0, -2513249815824, 15811058064, 0], [0, -3239669296116, -840647808, 0], [7890201769374, 0, 0, -23486797422], [0, 0, 0, 0], [3799217502018, 0, 0, -25569752274], [0, -5326006090214, 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-99877697230289253996160, 0], [0, -5205781479452011550348328, -130854250764654155571712, 0], [-9275423405396736360221728, 0, 0, 42329626341840228853440], [0, -25918908992790075986196902, 82730026056899079265536, 0]], 'char_orbit_index': 2, 'field_poly': [13264164, 0, 7285, 0, 1], 'hecke_orbit_code': 9007268276207691, 'hecke_ring_character_values': [[26, [1, 0, 0, 0]], [52, [-1, 0, 0, 0]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 3642, 1214, 1], 'hecke_ring_inverse_denominators': [1, 6, 6, 6], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0], [0, -3, 1, 0], [-21855, 0, 0, 1], [0, 32781, -3643, 0]], 'hecke_ring_numerators': [[1, 0, 0, 0], [0, 3643, 0, 1], [0, 10927, 0, 1], [21855, 0, 6, 0]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 4, 'label': '75.18.b.c', '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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• 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: 66180
    {'conductor': 5, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 4, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '75.18.b.c', 'source_level': 75, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '3.18.a.b', 'target_level': 3, 'twist_class_label': '3.18.a.b', 'twist_class_level': 3, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 18}
  • id: 66181
    {'conductor': 15, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 4, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '75.18.b.c', 'source_level': 75, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '9.18.a.c', 'target_level': 9, 'twist_class_label': '3.18.a.b', 'twist_class_level': 3, 'twisting_char_label': '15.e', 'twisting_char_orbit': 5, 'weight': 18}
  • id: 66182
    {'conductor': 20, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 4, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '75.18.b.c', 'source_level': 75, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 8, 'target_is_minimal': False, 'target_label': '48.18.a.h', 'target_level': 48, 'twist_class_label': '3.18.a.b', 'twist_class_level': 3, 'twisting_char_label': '20.e', 'twisting_char_orbit': 5, 'weight': 18}
  • id: 66183
    {'conductor': 5, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 4, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '75.18.b.c', 'source_level': 75, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '75.18.a.b', 'target_level': 75, 'twist_class_label': '3.18.a.b', 'twist_class_level': 3, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 18}
  • id: 66184
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 2, 'source_dim': 4, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '75.18.b.c', 'source_level': 75, 'target_char_orbit': 2, 'target_dim': 4, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '75.18.b.c', 'target_level': 75, 'twist_class_label': '3.18.a.b', 'twist_class_level': 3, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 18}
  • id: 66185
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 2, 'source_dim': 4, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '75.18.b.c', 'source_level': 75, 'target_char_orbit': 2, 'target_dim': 4, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '75.18.b.c', 'target_level': 75, 'twist_class_label': '3.18.a.b', 'twist_class_level': 3, '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: 235175
    {'charpoly_factorization': [[[1841439744, 0, 438660, 0, 1], 1]], 'hecke_orbit_code': 9007268276207691, 'p': 2}
  • id: 235176
    {'charpoly_factorization': [[[43046721, 0, 1], 2]], 'hecke_orbit_code': 9007268276207691, 'p': 3}
  • id: 235177
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 9007268276207691, 'p': 5}
  • id: 235178
    {'charpoly_factorization': [[[1336898670519744361284505600, 0, 525730390450304, 0, 1], 1]], 'hecke_orbit_code': 9007268276207691, 'p': 7}
  • id: 235179
    {'charpoly_factorization': [[[241662899580669072, 987553512, 1], 2]], 'hecke_orbit_code': 9007268276207691, 'p': 11}
  • id: 235180
    {'charpoly_factorization': [[[7366210451367049391360568020848144, 0, 6175714251471687560, 0, 1], 1]], 'hecke_orbit_code': 9007268276207691, 'p': 13}
  • id: 235181
    {'charpoly_factorization': [[[55122397170939748072427773921683390364176, 0, 707827451637668199048, 0, 1], 1]], 'hecke_orbit_code': 9007268276207691, 'p': 17}
  • id: 235182
    {'charpoly_factorization': [[[-185234520277889694320, 80053542184, 1], 2]], 'hecke_orbit_code': 9007268276207691, 'p': 19}
  • id: 235183
    {'charpoly_factorization': [[[49467380512712905217924248317036430734995558400, 0, 533170196861038893565056, 0, 1], 1]], 'hecke_orbit_code': 9007268276207691, 'p': 23}
  • id: 235184
    {'charpoly_factorization': [[[-502734177663602624512380, -470374069572, 1], 2]], 'hecke_orbit_code': 9007268276207691, 'p': 29}
  • id: 235185
    {'charpoly_factorization': [[[376073386682108523443200, -3400754454592, 1], 2]], 'hecke_orbit_code': 9007268276207691, 'p': 31}
  • id: 235186
    {'charpoly_factorization': [[[171073378891146307359341490124843879272550254204336400, 0, 940685718394224859922462024, 0, 1], 1]], 'hecke_orbit_code': 9007268276207691, 'p': 37}
  • id: 235187
    {'charpoly_factorization': [[[2666589765699308594999488740, 113376799448748, 1], 2]], 'hecke_orbit_code': 9007268276207691, 'p': 41}
  • id: 235188
    {'charpoly_factorization': [[[12998997420213018200423983767818816525508364198786806016, 0, 11009948130848734828865775392, 0, 1], 1]], 'hecke_orbit_code': 9007268276207691, 'p': 43}
  • id: 235189
    {'charpoly_factorization': [[[363114127216761308068483802401887771057683807916350570496, 0, 40090577627359800942556451328, 0, 1], 1]], 'hecke_orbit_code': 9007268276207691, 'p': 47}
  • id: 235190
    {'charpoly_factorization': [[[3021170478652488278572324525221567867684560462197717616400, 0, 171992460009846805659014465736, 0, 1], 1]], 'hecke_orbit_code': 9007268276207691, 'p': 53}
  • id: 235191
    {'charpoly_factorization': [[[-179080275397350121743603037680, 1727524231086456, 1], 2]], 'hecke_orbit_code': 9007268276207691, 'p': 59}
  • id: 235192
    {'charpoly_factorization': [[[1937726483198503748375663473156, -2784287656027900, 1], 2]], 'hecke_orbit_code': 9007268276207691, 'p': 61}
  • id: 235193
    {'charpoly_factorization': [[[7472657054261752621466579485044564557550239565658336992215296, 0, 5617017428083088119783662160928, 0, 1], 1]], 'hecke_orbit_code': 9007268276207691, 'p': 67}
  • id: 235194
    {'charpoly_factorization': [[[45166429353916529613725667660864, 13489402206504816, 1], 2]], 'hecke_orbit_code': 9007268276207691, 'p': 71}
  • id: 235195
    {'charpoly_factorization': [[[30709869421999219222897086916211124256899034975258171863417610000, 0, 350675243355534267318088705138376, 0, 1], 1]], 'hecke_orbit_code': 9007268276207691, 'p': 73}
  • id: 235196
    {'charpoly_factorization': [[[-106848883990011720062065941804800, 4376041565214880, 1], 2]], 'hecke_orbit_code': 9007268276207691, 'p': 79}
  • id: 235197
    {'charpoly_factorization': [[[133778517717937638752305168119431511503844606126885693453640675584, 0, 859413361605135626735199122407200, 0, 1], 1]], 'hecke_orbit_code': 9007268276207691, 'p': 83}
  • id: 235198
    {'charpoly_factorization': [[[-1690885178941200888313319251706460, 6972184096107444, 1], 2]], 'hecke_orbit_code': 9007268276207691, 'p': 89}
  • id: 235199
    {'charpoly_factorization': [[[65837283277976084800435530375722410829765811213211559475366751104016, 0, 17469746379286355129681936269536008, 0, 1], 1]], 'hecke_orbit_code': 9007268276207691, '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': 3, 'label': '75.18.b.c', 'level': 75, 'portrait': 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', 'weight': 18}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 29799751
    {'hecke_orbit_code': 9007268276207691, 'n': 1, 'trace_an': 4}
  • id: 29799752
    {'hecke_orbit_code': 9007268276207691, 'n': 2, 'trace_an': 0}
  • id: 29799753
    {'hecke_orbit_code': 9007268276207691, 'n': 3, 'trace_an': 0}
  • id: 29799754
    {'hecke_orbit_code': 9007268276207691, 'n': 4, 'trace_an': -353032}
  • id: 29799755
    {'hecke_orbit_code': 9007268276207691, 'n': 5, 'trace_an': 0}
  • id: 29799756
    {'hecke_orbit_code': 9007268276207691, 'n': 6, 'trace_an': 7794468}
  • id: 29799757
    {'hecke_orbit_code': 9007268276207691, 'n': 7, 'trace_an': 0}
  • id: 29799758
    {'hecke_orbit_code': 9007268276207691, 'n': 8, 'trace_an': 0}
  • id: 29799759
    {'hecke_orbit_code': 9007268276207691, 'n': 9, 'trace_an': -172186884}
  • id: 29799760
    {'hecke_orbit_code': 9007268276207691, 'n': 10, 'trace_an': 0}
  • id: 29799761
    {'hecke_orbit_code': 9007268276207691, 'n': 11, 'trace_an': -1975107024}
  • id: 29799762
    {'hecke_orbit_code': 9007268276207691, 'n': 12, 'trace_an': 0}
  • id: 29799763
    {'hecke_orbit_code': 9007268276207691, 'n': 13, 'trace_an': 0}
  • id: 29799764
    {'hecke_orbit_code': 9007268276207691, 'n': 14, 'trace_an': 871130592}
  • id: 29799765
    {'hecke_orbit_code': 9007268276207691, 'n': 15, 'trace_an': 0}
  • id: 29799766
    {'hecke_orbit_code': 9007268276207691, 'n': 16, 'trace_an': 101222647840}
  • id: 29799767
    {'hecke_orbit_code': 9007268276207691, 'n': 17, 'trace_an': 0}
  • id: 29799768
    {'hecke_orbit_code': 9007268276207691, 'n': 18, 'trace_an': 0}
  • id: 29799769
    {'hecke_orbit_code': 9007268276207691, 'n': 19, 'trace_an': -160107084368}
  • id: 29799770
    {'hecke_orbit_code': 9007268276207691, 'n': 20, 'trace_an': 0}
  • id: 29799771
    {'hecke_orbit_code': 9007268276207691, 'n': 21, 'trace_an': 321115915296}
  • id: 29799772
    {'hecke_orbit_code': 9007268276207691, 'n': 22, 'trace_an': 0}
  • id: 29799773
    {'hecke_orbit_code': 9007268276207691, 'n': 23, 'trace_an': 0}
  • id: 29799774
    {'hecke_orbit_code': 9007268276207691, 'n': 24, 'trace_an': -1710324524304}
  • id: 29799775
    {'hecke_orbit_code': 9007268276207691, 'n': 25, 'trace_an': 0}
  • id: 29799776
    {'hecke_orbit_code': 9007268276207691, 'n': 26, 'trace_an': -3271074310152}
  • id: 29799777
    {'hecke_orbit_code': 9007268276207691, 'n': 27, 'trace_an': 0}
  • id: 29799778
    {'hecke_orbit_code': 9007268276207691, 'n': 28, 'trace_an': 0}
  • id: 29799779
    {'hecke_orbit_code': 9007268276207691, 'n': 29, 'trace_an': 940748139144}
  • id: 29799780
    {'hecke_orbit_code': 9007268276207691, 'n': 30, 'trace_an': 0}
  • id: 29799781
    {'hecke_orbit_code': 9007268276207691, 'n': 31, 'trace_an': 6801508909184}
  • id: 29799782
    {'hecke_orbit_code': 9007268276207691, 'n': 32, 'trace_an': 0}
  • id: 29799783
    {'hecke_orbit_code': 9007268276207691, 'n': 33, 'trace_an': 0}
  • id: 29799784
    {'hecke_orbit_code': 9007268276207691, 'n': 34, 'trace_an': 31560807077496}
  • id: 29799785
    {'hecke_orbit_code': 9007268276207691, 'n': 35, 'trace_an': 0}
  • id: 29799786
    {'hecke_orbit_code': 9007268276207691, 'n': 36, 'trace_an': 15196870008072}
  • id: 29799787
    {'hecke_orbit_code': 9007268276207691, 'n': 37, 'trace_an': 0}
  • id: 29799788
    {'hecke_orbit_code': 9007268276207691, 'n': 38, 'trace_an': 0}
  • id: 29799789
    {'hecke_orbit_code': 9007268276207691, 'n': 39, 'trace_an': 33059543757768}
  • id: 29799790
    {'hecke_orbit_code': 9007268276207691, 'n': 40, 'trace_an': 0}
  • id: 29799791
    {'hecke_orbit_code': 9007268276207691, 'n': 41, 'trace_an': -226753598897496}
  • id: 29799792
    {'hecke_orbit_code': 9007268276207691, 'n': 42, 'trace_an': 0}
  • id: 29799793
    {'hecke_orbit_code': 9007268276207691, 'n': 43, 'trace_an': 0}
  • id: 29799794
    {'hecke_orbit_code': 9007268276207691, 'n': 44, 'trace_an': 134401550668704}
  • id: 29799795
    {'hecke_orbit_code': 9007268276207691, 'n': 45, 'trace_an': 0}
  • id: 29799796
    {'hecke_orbit_code': 9007268276207691, 'n': 46, 'trace_an': 892754246777184}
  • id: 29799797
    {'hecke_orbit_code': 9007268276207691, 'n': 47, 'trace_an': 0}
  • id: 29799798
    {'hecke_orbit_code': 9007268276207691, 'n': 48, 'trace_an': 0}
  • id: 29799799
    {'hecke_orbit_code': 9007268276207691, 'n': 49, 'trace_an': -120938724951780}
  • id: 29799800
    {'hecke_orbit_code': 9007268276207691, 'n': 50, 'trace_an': 0}
  • id: 29799801
    {'hecke_orbit_code': 9007268276207691, 'n': 51, 'trace_an': -450256844148408}
  • id: 29799802
    {'hecke_orbit_code': 9007268276207691, 'n': 52, 'trace_an': 0}
  • id: 29799803
    {'hecke_orbit_code': 9007268276207691, 'n': 53, 'trace_an': 0}
  • id: 29799804
    {'hecke_orbit_code': 9007268276207691, 'n': 54, 'trace_an': -335526289339428}
  • id: 29799805
    {'hecke_orbit_code': 9007268276207691, 'n': 55, 'trace_an': 0}
  • id: 29799806
    {'hecke_orbit_code': 9007268276207691, 'n': 56, 'trace_an': 1131160692493440}
  • id: 29799807
    {'hecke_orbit_code': 9007268276207691, 'n': 57, 'trace_an': 0}
  • id: 29799808
    {'hecke_orbit_code': 9007268276207691, 'n': 58, 'trace_an': 0}
  • id: 29799809
    {'hecke_orbit_code': 9007268276207691, 'n': 59, 'trace_an': -3455048462172912}
  • id: 29799810
    {'hecke_orbit_code': 9007268276207691, 'n': 60, 'trace_an': 0}
  • id: 29799811
    {'hecke_orbit_code': 9007268276207691, 'n': 61, 'trace_an': 5568575312055800}
  • id: 29799812
    {'hecke_orbit_code': 9007268276207691, 'n': 62, 'trace_an': 0}
  • id: 29799813
    {'hecke_orbit_code': 9007268276207691, 'n': 63, 'trace_an': 0}
  • id: 29799814
    {'hecke_orbit_code': 9007268276207691, 'n': 64, 'trace_an': 1989067138846592}
  • id: 29799815
    {'hecke_orbit_code': 9007268276207691, 'n': 65, 'trace_an': 0}
  • id: 29799816
    {'hecke_orbit_code': 9007268276207691, 'n': 66, 'trace_an': -3407820798854736}
  • id: 29799817
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  • id: 29800004
    {'hecke_orbit_code': 9007268276207691, 'n': 971, 'trace_an': 84342325246555619878400304}
  • id: 29800005
    {'hecke_orbit_code': 9007268276207691, 'n': 977, 'trace_an': 0}
  • id: 29800006
    {'hecke_orbit_code': 9007268276207691, 'n': 983, 'trace_an': 0}
  • id: 29800007
    {'hecke_orbit_code': 9007268276207691, 'n': 991, 'trace_an': -37101693621586945440886912}
  • id: 29800008
    {'hecke_orbit_code': 9007268276207691, 'n': 997, 'trace_an': 0}