Embedded newform data - 441.6.a.y.1.2

Formats: - HTML - YAML - JSON - 2024-04-25T05:32:37.390270

• 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
  conrey_indexes	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_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	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': 15876, 'analytic_conductor': 70.72926453752446, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, 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': [441, 1, [344, 199], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 4, 'field_disc': 27499536, 'field_disc_factorization': [[2, 4], [3, 2], [19, 2], [23, 2]], 'field_poly': [-15, 72, -71, -2, 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': 1, 'hecke_cutters': [[2, [-76, 0, 1]], [5, [-9936, 0, 1]], [13, [-755136, 0, 1]]], 'hecke_orbit': 25, 'hecke_orbit_code': 108086391157555641, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 2304, 'hecke_ring_index_factorization': [[2, 8], [3, 2]], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0], [1, 1, 7, 2, -1, 2, 0], [1, 1, 21, 3, 1, 2, 0]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '441.6.a.y', 'level': 441, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [3, 7], 'level_radical': 21, 'minimal_twist': '441.6.a.y', 'nf_label': '4.4.27499536.1', 'prim_orbit_index': 1, 'qexp_display': 'q+\\beta _{1}q^{2}+44q^{4}+\\beta _{2}q^{5}+12\\beta _{1}q^{8}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '5.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '441.6.a', 'trace_display': [0, 0, 0, 0], 'trace_hash': 819090047447204743, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.032', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.681', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '117.225', 'prec': 24}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4727.787', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.764', 'prec': 17}, 'traces': [4, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1984, 0, 0, 0, 0, 0, 13072, 0, 0, 27244, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -21864, 0, 0, 0, 0, 0, 50160, 0, 0, 103664, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 157472, 0, 0, 0, 0, 0, -204032, 0, 0, -119984, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 320672, 0, 0, 0, 0, 0, -437184, 0, 0, 156864, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1198736, 0, 0, 0, 0, 0, -528352, 0, 0, 295416, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -82108, 0, 0, 0, 0, 0, 700480, 0, 0, 3020544, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2143504, 0, 0, 0, 0, 0, -962016, 0, 0, 1240800, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 506224, 0, 0, 0, 0, 0, 1535372, 0, 0, 2207040, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1243968, 0, 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• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
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-0.3763449550838756, -0.326092073605834, -0.2054755626738963, -0.34962627918500233, -0.33306758584809393, -0.07421109600871657, -0.30322058325012996, -0.17421008573118998, -0.1635009216760434, -0.3033730793186399, -0.18960067584563695, -0.10300071251327438, -0.09635036007262061, -0.3169173309140439, -0.37875047007552454, -0.16026949611603034, -0.12147138646430389, -0.21067400411546094, -0.27225787943134744, -0.12159745607939848, -0.16320351692427015, -0.2856208437701605, -0.17841165149887556, -0.20189036467765167, -0.23264978855571863, -0.17000575869569298, -0.31005362276159854, -0.18589348121328506, -0.24331939268366226, -0.2473221673242832, -0.15663332494590096, -0.1813970197858913, -0.22013548440263978, -0.3287044594859418, -0.28827038065886496, -0.22618176868358644, -0.2901176600059275, -0.23162974880330042, -0.29781966693068673, -0.19636833172818877, -0.28291349147781164, -0.442637859354601, -0.33370198352789565, -0.23559454133251317, -0.1688936645114014, -0.35740661022862974, 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-0.24372679345683762, -0.13370895477546613, -0.3089337550681868, -0.2730248509360589, -0.07083745644004157, -0.2422940477604547, -0.057953206706484295, -0.19081901728006329, -0.19789774543409758, -0.15822656008905112, -0.3711792576518048, -0.21436022011597453, -0.09580299830857761, -0.23823407996002152, -0.20462132381561488, -0.34690241948190165, -0.17161504032780997, -0.23191173552787778, -0.17147895721049805, -0.34707931070145964, -0.2390470372659526, -0.220466105352755, -0.17528358196316562, -0.1893467728175218, -0.40689735029091684], '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': 9.012210874999711, 'hecke_orbit': 25, 'hecke_orbit_code': 108086391157555641, 'label': '441.6.a.y.1.2', 'level': 441, 'weight': 6}
• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  ALdims	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_prime	boolean
  level_is_prime_power	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

  
  {'AL_dims': [[[[3, -1], [7, -1]], 24, 15], [[[3, 1], [7, -1]], 19, 6], [[[3, -1], [7, 1]], 25, 7], [[[3, 1], [7, 1]], 15, 3]], 'ALdims': [15, 19, 25, 24], 'Nk2': 15876, 'analytic_conductor': 70.72926453752446, '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': [441, 1, [344, 199], [1, 1]], 'conrey_index': 1, 'cusp_dim': 264, 'dim': 83, 'eis_dim': 32, 'eis_new_dim': 5, 'hecke_cutter_primes': [2, 5, 13], 'hecke_orbit_code': 100663737, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 4, 4, 4, 6, 6, 6, 6, 8], 'label': '441.6.a', 'level': 441, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [3, 7], 'level_radical': 21, 'mf_dim': 296, 'mf_new_dim': 88, 'num_forms': 31, 'plus_dim': 39, 'prim_orbit_index': 1, 'relative_dim': 83, 'sturm_bound': 336, 'trace_bound': 13, 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2619009272, 7374154140, 0, -6096979680, 0, 0, 4005119180, -312952800, 0, -610303660, 1249313472, 0, 551072584, 6514238696, 0, 6495880460, -329315904, 0, 0, 3871973772, 0, 976943852, -1553653154, 0, -1751602584, 0, 0, -3987818076, -289745664, 0, -2014556344, -1237864938, 0, 2833171944, 1332069040, 0, -353984684, -2584728480, 0, 0, 7063787800, 0, 2587998936, 2541116952, 0, 4822820936, 0, 0, -1293897600, -768642600, 0, -945155712, -1639321968, 0, -1177420620, -8072476308, 0, -1135992864, 1174034112, 0, 0, 5529427288, 0, -1643925270, -4624694628, 0, -2092550020, 0, 0, 8527826832, -1118621412, 0, -944020104, 727777608, 0, 2270306720, 4340776504, 0, 2380615788, -1262352318, 0, 0, 2262852254, 0, -2524186144, 4207242368, 0, 2487160896, 0, 0, -4479161276, 63672378, 0, 4364617992, 904335168, 0, -5124501176, 9752301936, 0, 3852700672, 2345537184, 0, 0, -1990203768, 0, 2138610216, -1208399436, 0, 4153504392, 0, 0, 3572626240, -1124289264, 0], 'weight': 6, '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: 48556302
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 108086391157555641, 'source_is_minimal': True, 'source_label': '441.6.a.y.1.2', 'source_level': 441, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 108086391157555641, 'target_is_minimal': True, 'target_label': '441.6.a.y.1.2', 'target_level': 441, 'twist_class_label': '441.6.a.y.1.1', 'twist_class_level': 441, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 6}
  • id: 48556303
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 108086391157555641, 'source_is_minimal': True, 'source_label': '441.6.a.y.1.2', 'source_level': 441, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 108086391157555641, 'target_is_minimal': True, 'target_label': '441.6.a.y.1.3', 'target_level': 441, 'twist_class_label': '441.6.a.y.1.1', 'twist_class_level': 441, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 6}
  • id: 48556304
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 108086391157555641, 'source_is_minimal': True, 'source_label': '441.6.a.y.1.2', 'source_level': 441, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 108086391157555641, 'target_is_minimal': True, 'target_label': '441.6.a.y.1.1', 'target_level': 441, 'twist_class_label': '441.6.a.y.1.1', 'twist_class_level': 441, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 6}
  • id: 48556305
    {'conductor': 21, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 108086391157555641, 'source_is_minimal': True, 'source_label': '441.6.a.y.1.2', 'source_level': 441, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 108086391157555641, 'target_is_minimal': True, 'target_label': '441.6.a.y.1.4', 'target_level': 441, 'twist_class_label': '441.6.a.y.1.1', 'twist_class_level': 441, 'twisting_char_label': '21.20', 'twisting_conrey_index': 20, 'weight': 6}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 895250
    {'charpoly_factorization': [[[-76, 0, 1], 2]], 'hecke_orbit_code': 108086391157555641, 'p': 2}
  • id: 895251
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 108086391157555641, 'p': 3}
  • id: 895252
    {'charpoly_factorization': [[[-9936, 0, 1], 2]], 'hecke_orbit_code': 108086391157555641, 'p': 5}
  • id: 895253
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 108086391157555641, 'p': 7}
  • id: 895254
    {'charpoly_factorization': [[[-140524, 0, 1], 2]], 'hecke_orbit_code': 108086391157555641, 'p': 11}
  • id: 895255
    {'charpoly_factorization': [[[-755136, 0, 1], 2]], 'hecke_orbit_code': 108086391157555641, 'p': 13}
  • id: 895256
    {'charpoly_factorization': [[[-1202256, 0, 1], 2]], 'hecke_orbit_code': 108086391157555641, 'p': 17}
  • id: 895257
    {'charpoly_factorization': [[[-755136, 0, 1], 2]], 'hecke_orbit_code': 108086391157555641, 'p': 19}
  • id: 895258
    {'charpoly_factorization': [[[-8837356, 0, 1], 2]], 'hecke_orbit_code': 108086391157555641, 'p': 23}
  • id: 895259
    {'charpoly_factorization': [[[-20392624, 0, 1], 2]], 'hecke_orbit_code': 108086391157555641, 'p': 29}
  • id: 895260
    {'charpoly_factorization': [[[-91371456, 0, 1], 2]], 'hecke_orbit_code': 108086391157555641, 'p': 31}
  • id: 895261
    {'charpoly_factorization': [[[5466, 1], 4]], 'hecke_orbit_code': 108086391157555641, 'p': 37}
  • id: 895262
    {'charpoly_factorization': [[[-97382736, 0, 1], 2]], 'hecke_orbit_code': 108086391157555641, 'p': 41}
  • id: 895263
    {'charpoly_factorization': [[[-12540, 1], 4]], 'hecke_orbit_code': 108086391157555641, 'p': 43}
  • id: 895264
    {'charpoly_factorization': [[[-99360000, 0, 1], 2]], 'hecke_orbit_code': 108086391157555641, 'p': 47}
  • id: 895265
    {'charpoly_factorization': [[[-229568944, 0, 1], 2]], 'hecke_orbit_code': 108086391157555641, 'p': 53}
  • id: 895266
    {'charpoly_factorization': [[[-1820116224, 0, 1], 2]], 'hecke_orbit_code': 108086391157555641, 'p': 59}
  • id: 895267
    {'charpoly_factorization': [[[-2284286400, 0, 1], 2]], 'hecke_orbit_code': 108086391157555641, 'p': 61}
  • id: 895268
    {'charpoly_factorization': [[[29996, 1], 4]], 'hecke_orbit_code': 108086391157555641, 'p': 67}
  • id: 895269
    {'charpoly_factorization': [[[-3778461676, 0, 1], 2]], 'hecke_orbit_code': 108086391157555641, 'p': 71}
  • id: 895270
    {'charpoly_factorization': [[[-2368106496, 0, 1], 2]], 'hecke_orbit_code': 108086391157555641, 'p': 73}
  • id: 895271
    {'charpoly_factorization': [[[-80168, 1], 4]], 'hecke_orbit_code': 108086391157555641, 'p': 79}
  • id: 895272
    {'charpoly_factorization': [[[-942568704, 0, 1], 2]], 'hecke_orbit_code': 108086391157555641, 'p': 83}
  • id: 895273
    {'charpoly_factorization': [[[-434014416, 0, 1], 2]], 'hecke_orbit_code': 108086391157555641, 'p': 89}
  • id: 895274
    {'charpoly_factorization': [[[-17908805376, 0, 1], 2]], 'hecke_orbit_code': 108086391157555641, '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': 25, 'label': '441.6.a.y', 'level': 441, 'portrait': 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', 'weight': 6}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 258484000
    {'hecke_orbit_code': 108086391157555641, 'n': 1, 'trace_an': 4}
  • id: 258484001
    {'hecke_orbit_code': 108086391157555641, 'n': 2, 'trace_an': 0}
  • id: 258484002
    {'hecke_orbit_code': 108086391157555641, 'n': 3, 'trace_an': 0}
  • id: 258484003
    {'hecke_orbit_code': 108086391157555641, 'n': 4, 'trace_an': 176}
  • id: 258484004
    {'hecke_orbit_code': 108086391157555641, 'n': 5, 'trace_an': 0}
  • id: 258484005
    {'hecke_orbit_code': 108086391157555641, 'n': 6, 'trace_an': 0}
  • id: 258484006
    {'hecke_orbit_code': 108086391157555641, 'n': 7, 'trace_an': 0}
  • id: 258484007
    {'hecke_orbit_code': 108086391157555641, 'n': 8, 'trace_an': 0}
  • id: 258484008
    {'hecke_orbit_code': 108086391157555641, 'n': 9, 'trace_an': 0}
  • id: 258484009
    {'hecke_orbit_code': 108086391157555641, 'n': 10, 'trace_an': 0}
  • id: 258484010
    {'hecke_orbit_code': 108086391157555641, 'n': 11, 'trace_an': 0}
  • id: 258484011
    {'hecke_orbit_code': 108086391157555641, 'n': 12, 'trace_an': 0}
  • id: 258484012
    {'hecke_orbit_code': 108086391157555641, 'n': 13, 'trace_an': 0}
  • id: 258484013
    {'hecke_orbit_code': 108086391157555641, 'n': 14, 'trace_an': 0}
  • id: 258484014
    {'hecke_orbit_code': 108086391157555641, 'n': 15, 'trace_an': 0}
  • id: 258484015
    {'hecke_orbit_code': 108086391157555641, 'n': 16, 'trace_an': -1984}
  • id: 258484016
    {'hecke_orbit_code': 108086391157555641, 'n': 17, 'trace_an': 0}
  • id: 258484017
    {'hecke_orbit_code': 108086391157555641, 'n': 18, 'trace_an': 0}
  • id: 258484018
    {'hecke_orbit_code': 108086391157555641, 'n': 19, 'trace_an': 0}
  • id: 258484019
    {'hecke_orbit_code': 108086391157555641, 'n': 20, 'trace_an': 0}
  • id: 258484020
    {'hecke_orbit_code': 108086391157555641, 'n': 21, 'trace_an': 0}
  • id: 258484021
    {'hecke_orbit_code': 108086391157555641, 'n': 22, 'trace_an': 13072}
  • id: 258484022
    {'hecke_orbit_code': 108086391157555641, 'n': 23, 'trace_an': 0}
  • id: 258484023
    {'hecke_orbit_code': 108086391157555641, 'n': 24, 'trace_an': 0}
  • id: 258484024
    {'hecke_orbit_code': 108086391157555641, 'n': 25, 'trace_an': 27244}
  • id: 258484025
    {'hecke_orbit_code': 108086391157555641, 'n': 26, 'trace_an': 0}
  • id: 258484026
    {'hecke_orbit_code': 108086391157555641, 'n': 27, 'trace_an': 0}
  • id: 258484027
    {'hecke_orbit_code': 108086391157555641, 'n': 28, 'trace_an': 0}
  • id: 258484028
    {'hecke_orbit_code': 108086391157555641, 'n': 29, 'trace_an': 0}
  • id: 258484029
    {'hecke_orbit_code': 108086391157555641, 'n': 30, 'trace_an': 0}
  • id: 258484030
    {'hecke_orbit_code': 108086391157555641, 'n': 31, 'trace_an': 0}
  • id: 258484031
    {'hecke_orbit_code': 108086391157555641, 'n': 32, 'trace_an': 0}
  • id: 258484032
    {'hecke_orbit_code': 108086391157555641, 'n': 33, 'trace_an': 0}
  • id: 258484033
    {'hecke_orbit_code': 108086391157555641, 'n': 34, 'trace_an': 0}
  • id: 258484034
    {'hecke_orbit_code': 108086391157555641, 'n': 35, 'trace_an': 0}
  • id: 258484035
    {'hecke_orbit_code': 108086391157555641, 'n': 36, 'trace_an': 0}
  • id: 258484036
    {'hecke_orbit_code': 108086391157555641, 'n': 37, 'trace_an': -21864}
  • id: 258484037
    {'hecke_orbit_code': 108086391157555641, 'n': 38, 'trace_an': 0}
  • id: 258484038
    {'hecke_orbit_code': 108086391157555641, 'n': 39, 'trace_an': 0}
  • id: 258484039
    {'hecke_orbit_code': 108086391157555641, 'n': 40, 'trace_an': 0}
  • id: 258484040
    {'hecke_orbit_code': 108086391157555641, 'n': 41, 'trace_an': 0}
  • id: 258484041
    {'hecke_orbit_code': 108086391157555641, 'n': 42, 'trace_an': 0}
  • id: 258484042
    {'hecke_orbit_code': 108086391157555641, 'n': 43, 'trace_an': 50160}
  • id: 258484043
    {'hecke_orbit_code': 108086391157555641, 'n': 44, 'trace_an': 0}
  • id: 258484044
    {'hecke_orbit_code': 108086391157555641, 'n': 45, 'trace_an': 0}
  • id: 258484045
    {'hecke_orbit_code': 108086391157555641, 'n': 46, 'trace_an': 103664}
  • id: 258484046
    {'hecke_orbit_code': 108086391157555641, 'n': 47, 'trace_an': 0}
  • id: 258484047
    {'hecke_orbit_code': 108086391157555641, 'n': 48, 'trace_an': 0}
  • id: 258484048
    {'hecke_orbit_code': 108086391157555641, 'n': 49, 'trace_an': 0}
  • id: 258484049
    {'hecke_orbit_code': 108086391157555641, 'n': 50, 'trace_an': 0}
  • id: 258484050
    {'hecke_orbit_code': 108086391157555641, 'n': 51, 'trace_an': 0}
  • id: 258484051
    {'hecke_orbit_code': 108086391157555641, 'n': 52, 'trace_an': 0}
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