Embedded newform data - 165.6.a.b.1.1

Formats: - HTML - YAML - JSON - 2023-06-09T20:35:09.440712

• 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_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': 5940, 'analytic_conductor': 26.463330269141803, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, -1], [5, 1], [11, -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': [165, 1, [56, 67, 46], [1, 1, 1]], 'cm_discs': [], 'conrey_indexes': [1], 'dim': 3, 'field_disc': 3368, 'field_disc_factorization': [[2, 3], [421, 1]], 'field_poly': [11, -15, -1, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[2, [-88, -60, 2, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4503599728033957, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 4, 'hecke_ring_index_factorization': [[2, 2]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '165.6.a.b', 'level': 165, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [3, 5, 11], 'level_radical': 165, 'minimal_twist': '165.6.a.b', 'nf_label': '3.3.3368.1', 'prim_orbit_index': 1, 'qexp_display': 'q+(-1-\\beta _{1})q^{2}+9q^{3}+(8+4\\beta _{2})q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '5.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '165.6.a', 'trace_display': [-2, 27, -75, -232], 'trace_hash': 796421780075174316, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.944', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.058', 'prec': 17}, {'__RealLiteral__': 0, 'data': '23.358', 'prec': 20}, {'__RealLiteral__': 0, 'data': '4.845', 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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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[0.8660244252469959, 0.0], [0.4406646008021835, 0.0], [1.4877766502350103, 0.0], [0.21165810530956727, 0.0], [-1.3343470130684154, 0.0], [-0.02704998293933979, 0.0], [0.2781830909837021, 0.0], [-0.7901897068389245, 0.0], [-0.2522929560036656, 0.0], [-0.037018622220158844, 0.0], [0.15488969495803717, 0.0], [-0.234514998350079, 0.0], [0.1367249621001938, 0.0], [-1.6281628480942962, 0.0], [-0.00512960810820785, 0.0], [-0.02161244257006071, 0.0], [-0.052492272972424904, 0.0], [-1.4746481378500877, 0.0], [0.0666846376079932, 0.0], [-0.17666808731045847, 0.0], [-1.5643219116771425, 0.0], [-0.04183504437441692, 0.0], [1.3177951779273411, 0.0], [-1.5574542636716229, 0.0], [0.42791487116971194, 0.0], [-0.15244910246280405, 0.0], [0.42199704281336825, 0.0], [0.10203829188325549, 0.0], [0.1854976202087093, 0.0], [-0.33814130766303296, 0.0], [-0.0015958810512737493, 0.0], [0.1567904317225147, 0.0], [0.29194920495337656, 0.0], [-0.006519404719136108, 0.0], [-0.0838516939621177, 0.0], [-0.5438923671080682, 0.0], [0.06418896698349812, 0.0], [-0.21110007576184056, 0.0], [-0.6531273629022522, 0.0], [0.4482561266669592, 0.0], [-0.14016053679759805, 0.0], [-0.4824340505156041, 0.0], [-0.7649999378334542, 0.0], [0.34580402922921677, 0.0], [-0.31619495391583335, 0.0], [-0.09384030086623396, 0.0], [0.005046867068270213, 0.0]], 'angles': [-0.37657218004467224, None, None, -0.27426391124680305, None, -0.27899114648457063, -0.26339539244377286, -0.232245710690458, -0.20599560633194802, -0.1459977298765589, -0.2867769221936408, -0.28919772176224656, -0.24610131772205698, -0.3329860627418478, -0.24704132886065774, -0.43181231319447144, -0.2435767136121202, -0.370562394746574, -0.3376924426211062, -0.2758269801311807, -0.3218672884648276, -0.19789911375872302, -0.3599802041041629, -0.2906770877247311, -0.25654229081098645, -0.14471100107871226, -0.38918938701645156, -0.25884209292499905, -0.22554402400749082, -0.30080206457840164, -0.3135062060141277, -0.1600102245487822, 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'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': 4.039317391631673, 'hecke_orbit': 2, 'hecke_orbit_code': 4503599728033957, 'label': '165.6.a.b.1.1', 'level': 165, 'weight': 6}
• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  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_indexes	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], [5, -1], [11, -1]], 7, 1], [[[3, 1], [5, -1], [11, -1]], 3, 1], [[[3, 1], [5, -1], [11, 1]], 3, 1], [[[3, -1], [5, 1], [11, -1]], 3, 1], [[[3, 1], [5, 1], [11, 1]], 5, 1], [[[3, -1], [5, -1], [11, 1]], 3, 1], [[[3, -1], [5, 1], [11, 1]], 5, 1], [[[3, 1], [5, 1], [11, -1]], 3, 1]], 'Nk2': 5940, 'analytic_conductor': 26.463330269141803, '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': [165, 1, [56, 67, 46], [1, 1, 1]], 'conrey_indexes': [1], 'cusp_dim': 116, 'dim': 32, 'eis_dim': 8, 'eis_new_dim': 0, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 100663461, 'hecke_orbit_dims': [3, 3, 3, 3, 3, 5, 5, 7], 'label': '165.6.a', 'level': 165, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [3, 5, 11], 'level_radical': 165, 'mf_dim': 124, 'mf_new_dim': 32, 'num_forms': 8, 'plus_dim': 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• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 34396253
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599728033957, 'source_is_minimal': True, 'source_label': '165.6.a.b.1.1', 'source_level': 165, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599728033957, 'target_is_minimal': True, 'target_label': '165.6.a.b.1.1', 'target_level': 165, 'twist_class_label': '165.6.a.b.1.1', 'twist_class_level': 165, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 6}
  • id: 34396254
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599728033957, 'source_is_minimal': True, 'source_label': '165.6.a.b.1.1', 'source_level': 165, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 13510798982775279, 'target_is_minimal': False, 'target_label': '495.6.a.d.1.3', 'target_level': 495, 'twist_class_label': '165.6.a.b.1.1', 'twist_class_level': 165, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 6}
  • id: 34396255
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599728033957, 'source_is_minimal': True, 'source_label': '165.6.a.b.1.1', 'source_level': 165, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 36028797119628089, 'target_is_minimal': False, 'target_label': '825.6.a.i.1.3', 'target_level': 825, 'twist_class_label': '165.6.a.b.1.1', 'twist_class_level': 165, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 6}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 430675
    {'charpoly_factorization': [[[-88, -60, 2, 1], 1]], 'hecke_orbit_code': 4503599728033957, 'p': 2}
  • id: 430676
    {'charpoly_factorization': [[[-9, 1], 3]], 'hecke_orbit_code': 4503599728033957, 'p': 3}
  • id: 430677
    {'charpoly_factorization': [[[25, 1], 3]], 'hecke_orbit_code': 4503599728033957, 'p': 5}
  • id: 430678
    {'charpoly_factorization': [[[-382608, -2132, 232, 1], 1]], 'hecke_orbit_code': 4503599728033957, 'p': 7}
  • id: 430679
    {'charpoly_factorization': [[[-121, 1], 3]], 'hecke_orbit_code': 4503599728033957, 'p': 11}
  • id: 430680
    {'charpoly_factorization': [[[22659488, -45440, -450, 1], 1]], 'hecke_orbit_code': 4503599728033957, 'p': 13}
  • id: 430681
    {'charpoly_factorization': [[[-57782448, -261640, 334, 1], 1]], 'hecke_orbit_code': 4503599728033957, 'p': 17}
  • id: 430682
    {'charpoly_factorization': [[[-1630951200, 3118536, 4036, 1], 1]], 'hecke_orbit_code': 4503599728033957, 'p': 19}
  • id: 430683
    {'charpoly_factorization': [[[-24275701568, 5829232, 7060, 1], 1]], 'hecke_orbit_code': 4503599728033957, 'p': 23}
  • id: 430684
    {'charpoly_factorization': [[[65949214584, -20041564, -4042, 1], 1]], 'hecke_orbit_code': 4503599728033957, 'p': 29}
  • id: 430685
    {'charpoly_factorization': [[[-211578448896, -90844992, 608, 1], 1]], 'hecke_orbit_code': 4503599728033957, 'p': 31}
  • id: 430686
    {'charpoly_factorization': [[[-431879868536, -131985620, -2250, 1], 1]], 'hecke_orbit_code': 4503599728033957, 'p': 37}
  • id: 430687
    {'charpoly_factorization': [[[-7803557208, 20139204, -10654, 1], 1]], 'hecke_orbit_code': 4503599728033957, 'p': 41}
  • id: 430688
    {'charpoly_factorization': [[[1659712050000, 420645228, 35528, 1], 1]], 'hecke_orbit_code': 4503599728033957, 'p': 43}
  • id: 430689
    {'charpoly_factorization': [[[52162385088, -94146320, 2100, 1], 1]], 'hecke_orbit_code': 4503599728033957, 'p': 47}
  • id: 430690
    {'charpoly_factorization': [[[2687939232856, -834647588, 12826, 1], 1]], 'hecke_orbit_code': 4503599728033957, 'p': 53}
  • id: 430691
    {'charpoly_factorization': [[[-3633753791296, 1502817904, 81876, 1], 1]], 'hecke_orbit_code': 4503599728033957, 'p': 59}
  • id: 430692
    {'charpoly_factorization': [[[-12904038746056, 569911852, 62298, 1], 1]], 'hecke_orbit_code': 4503599728033957, 'p': 61}
  • id: 430693
    {'charpoly_factorization': [[[-40648408406912, -761264032, 46148, 1], 1]], 'hecke_orbit_code': 4503599728033957, 'p': 67}
  • id: 430694
    {'charpoly_factorization': [[[8578136735360, 1324959712, 64724, 1], 1]], 'hecke_orbit_code': 4503599728033957, 'p': 71}
  • id: 430695
    {'charpoly_factorization': [[[-144432126809632, -5245925024, -810, 1], 1]], 'hecke_orbit_code': 4503599728033957, 'p': 73}
  • id: 430696
    {'charpoly_factorization': [[[351884592248992, -9571579432, -43876, 1], 1]], 'hecke_orbit_code': 4503599728033957, 'p': 79}
  • id: 430697
    {'charpoly_factorization': [[[5794291383408, 1754366964, 101024, 1], 1]], 'hecke_orbit_code': 4503599728033957, 'p': 83}
  • id: 430698
    {'charpoly_factorization': [[[-246103360939432, -10208967300, -60022, 1], 1]], 'hecke_orbit_code': 4503599728033957, 'p': 89}
  • id: 430699
    {'charpoly_factorization': [[[179909862970168, 25998829660, 319746, 1], 1]], 'hecke_orbit_code': 4503599728033957, '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': 2, 'label': '165.6.a.b', 'level': 165, 'portrait': 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', 'weight': 6}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 74722000
    {'hecke_orbit_code': 4503599728033957, 'n': 1, 'trace_an': 3}
  • id: 74722001
    {'hecke_orbit_code': 4503599728033957, 'n': 2, 'trace_an': -2}
  • id: 74722002
    {'hecke_orbit_code': 4503599728033957, 'n': 3, 'trace_an': 27}
  • id: 74722003
    {'hecke_orbit_code': 4503599728033957, 'n': 4, 'trace_an': 28}
  • id: 74722004
    {'hecke_orbit_code': 4503599728033957, 'n': 5, 'trace_an': -75}
  • id: 74722005
    {'hecke_orbit_code': 4503599728033957, 'n': 6, 'trace_an': -18}
  • id: 74722006
    {'hecke_orbit_code': 4503599728033957, 'n': 7, 'trace_an': -232}
  • id: 74722007
    {'hecke_orbit_code': 4503599728033957, 'n': 8, 'trace_an': 24}
  • id: 74722008
    {'hecke_orbit_code': 4503599728033957, 'n': 9, 'trace_an': 243}
  • id: 74722009
    {'hecke_orbit_code': 4503599728033957, 'n': 10, 'trace_an': 50}
  • id: 74722010
    {'hecke_orbit_code': 4503599728033957, 'n': 11, 'trace_an': 363}
  • id: 74722011
    {'hecke_orbit_code': 4503599728033957, 'n': 12, 'trace_an': 252}
  • id: 74722012
    {'hecke_orbit_code': 4503599728033957, 'n': 13, 'trace_an': 450}
  • id: 74722013
    {'hecke_orbit_code': 4503599728033957, 'n': 14, 'trace_an': -1504}
  • id: 74722014
    {'hecke_orbit_code': 4503599728033957, 'n': 15, 'trace_an': -675}
  • id: 74722015
    {'hecke_orbit_code': 4503599728033957, 'n': 16, 'trace_an': -1360}
  • id: 74722016
    {'hecke_orbit_code': 4503599728033957, 'n': 17, 'trace_an': -334}
  • id: 74722017
    {'hecke_orbit_code': 4503599728033957, 'n': 18, 'trace_an': -162}
  • id: 74722018
    {'hecke_orbit_code': 4503599728033957, 'n': 19, 'trace_an': -4036}
  • id: 74722019
    {'hecke_orbit_code': 4503599728033957, 'n': 20, 'trace_an': -700}
  • id: 74722020
    {'hecke_orbit_code': 4503599728033957, 'n': 21, 'trace_an': -2088}
  • id: 74722021
    {'hecke_orbit_code': 4503599728033957, 'n': 22, 'trace_an': -242}
  • id: 74722022
    {'hecke_orbit_code': 4503599728033957, 'n': 23, 'trace_an': -7060}
  • id: 74722023
    {'hecke_orbit_code': 4503599728033957, 'n': 24, 'trace_an': 216}
  • id: 74722024
    {'hecke_orbit_code': 4503599728033957, 'n': 25, 'trace_an': 1875}
  • id: 74722025
    {'hecke_orbit_code': 4503599728033957, 'n': 26, 'trace_an': 2932}
  • id: 74722026
    {'hecke_orbit_code': 4503599728033957, 'n': 27, 'trace_an': 2187}
  • id: 74722027
    {'hecke_orbit_code': 4503599728033957, 'n': 28, 'trace_an': -8320}
  • id: 74722028
    {'hecke_orbit_code': 4503599728033957, 'n': 29, 'trace_an': 4042}
  • id: 74722029
    {'hecke_orbit_code': 4503599728033957, 'n': 30, 'trace_an': 450}
  • id: 74722030
    {'hecke_orbit_code': 4503599728033957, 'n': 31, 'trace_an': -608}
  • id: 74722031
    {'hecke_orbit_code': 4503599728033957, 'n': 32, 'trace_an': -3104}
  • id: 74722032
    {'hecke_orbit_code': 4503599728033957, 'n': 33, 'trace_an': 3267}
  • id: 74722033
    {'hecke_orbit_code': 4503599728033957, 'n': 34, 'trace_an': -3644}
  • id: 74722034
    {'hecke_orbit_code': 4503599728033957, 'n': 35, 'trace_an': 5800}
  • id: 74722035
    {'hecke_orbit_code': 4503599728033957, 'n': 36, 'trace_an': 2268}
  • id: 74722036
    {'hecke_orbit_code': 4503599728033957, 'n': 37, 'trace_an': 2250}
  • id: 74722037
    {'hecke_orbit_code': 4503599728033957, 'n': 38, 'trace_an': -12632}
  • id: 74722038
    {'hecke_orbit_code': 4503599728033957, 'n': 39, 'trace_an': 4050}
  • id: 74722039
    {'hecke_orbit_code': 4503599728033957, 'n': 40, 'trace_an': -600}
  • id: 74722040
    {'hecke_orbit_code': 4503599728033957, 'n': 41, 'trace_an': 10654}
  • id: 74722041
    {'hecke_orbit_code': 4503599728033957, 'n': 42, 'trace_an': -13536}
  • id: 74722042
    {'hecke_orbit_code': 4503599728033957, 'n': 43, 'trace_an': -35528}
  • id: 74722043
    {'hecke_orbit_code': 4503599728033957, 'n': 44, 'trace_an': 3388}
  • id: 74722044
    {'hecke_orbit_code': 4503599728033957, 'n': 45, 'trace_an': -6075}
  • id: 74722045
    {'hecke_orbit_code': 4503599728033957, 'n': 46, 'trace_an': -41800}
  • id: 74722046
    {'hecke_orbit_code': 4503599728033957, 'n': 47, 'trace_an': -2100}
  • id: 74722047
    {'hecke_orbit_code': 4503599728033957, 'n': 48, 'trace_an': -12240}
  • id: 74722048
    {'hecke_orbit_code': 4503599728033957, 'n': 49, 'trace_an': 7667}
  • id: 74722049
    {'hecke_orbit_code': 4503599728033957, 'n': 50, 'trace_an': -1250}
  • id: 74722050
    {'hecke_orbit_code': 4503599728033957, 'n': 51, 'trace_an': -3006}
  • id: 74722051
    {'hecke_orbit_code': 4503599728033957, 'n': 52, 'trace_an': -14520}
  • id: 74722052
    {'hecke_orbit_code': 4503599728033957, 'n': 53, 'trace_an': -12826}
  • id: 74722053
    {'hecke_orbit_code': 4503599728033957, 'n': 54, 'trace_an': -1458}
  • id: 74722054
    {'hecke_orbit_code': 4503599728033957, 'n': 55, 'trace_an': -9075}
  • id: 74722055
    {'hecke_orbit_code': 4503599728033957, 'n': 56, 'trace_an': 17088}
  • id: 74722056
    {'hecke_orbit_code': 4503599728033957, 'n': 57, 'trace_an': -36324}
  • id: 74722057
    {'hecke_orbit_code': 4503599728033957, 'n': 58, 'trace_an': -17196}
  • id: 74722058
    {'hecke_orbit_code': 4503599728033957, 'n': 59, 'trace_an': -81876}
  • id: 74722059
    {'hecke_orbit_code': 4503599728033957, 'n': 60, 'trace_an': -6300}
  • id: 74722060
    {'hecke_orbit_code': 4503599728033957, 'n': 61, 'trace_an': -62298}
  • id: 74722061
    {'hecke_orbit_code': 4503599728033957, 'n': 62, 'trace_an': 109184}
  • id: 74722062
    {'hecke_orbit_code': 4503599728033957, 'n': 63, 'trace_an': -18792}
  • id: 74722063
    {'hecke_orbit_code': 4503599728033957, 'n': 64, 'trace_an': -72256}
  • id: 74722064
    {'hecke_orbit_code': 4503599728033957, 'n': 65, 'trace_an': -11250}
  • id: 74722065
    {'hecke_orbit_code': 4503599728033957, 'n': 66, 'trace_an': -2178}
  • id: 74722066
    {'hecke_orbit_code': 4503599728033957, 'n': 67, 'trace_an': -46148}
  • id: 74722067
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  • id: 74722514
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  • id: 74722515
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  • id: 74722519
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  • id: 74722520
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  • id: 74722521
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  • id: 74722522
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  • id: 74722523
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  • id: 74722524
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  • id: 74722527
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  • id: 74722529
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  • id: 74722532
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  • id: 74722533
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  • id: 74722535
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  • id: 74722536
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  • id: 74722537
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  • id: 74722538
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  • id: 74722539
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  • id: 74722540
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  • id: 74722541
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  • id: 74722542
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  • id: 74722543
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  • id: 74722544
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  • id: 74722545
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  • id: 74722546
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  • id: 74722547
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  • id: 74722548
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  • id: 74722549
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  • id: 74722552
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  • id: 74722565
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    {'hecke_orbit_code': 4503599728033957, 'n': 996, 'trace_an': -20422944}
  • id: 74722996
    {'hecke_orbit_code': 4503599728033957, 'n': 997, 'trace_an': 65853666}
  • id: 74722997
    {'hecke_orbit_code': 4503599728033957, 'n': 998, 'trace_an': 44364840}
  • id: 74722998
    {'hecke_orbit_code': 4503599728033957, 'n': 999, 'trace_an': 1640250}
  • id: 74722999
    {'hecke_orbit_code': 4503599728033957, 'n': 1000, 'trace_an': -375000}