Embedded newform data - 2240.4.a.cl.1.1

Formats: - HTML - YAML - JSON - 2024-05-18T07:48:17.017017

• 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': 35840, 'analytic_conductor': 132.16427841285898, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [5, 1], [7, -1]], 'atkin_lehner_string': '-+-', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [2240, 1, [1471, 1541, 897, 1921], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 4, 'field_disc': 33679764, 'field_disc_factorization': [[2, 2], [3, 2], [31, 1], [103, 1], [293, 1]], 'field_poly': [-99, -168, -68, -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': 0, 'hecke_cutters': [[3, [28, 285, -41, -9, 1]], [11, [255388, 45525, -1769, -33, 1]]], 'hecke_orbit': 64, 'hecke_orbit_code': 283726776591452352, 'hecke_ring_generator_nbound': 13, 'hecke_ring_index': 8, 'hecke_ring_index_factorization': [[2, 3]], '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': False, 'label': '2240.4.a.cl', 'level': 2240, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5, 7], 'level_radical': 70, 'minimal_twist': '1120.4.a.e', 'prim_orbit_index': 1, 'qexp_display': 'q+(2+\\beta _{2})q^{3}-5q^{5}+7q^{7}+(13-\\beta _{1}+\\cdots)q^{9}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2240.4.a', 'trace_display': [0, 9, -20, 28], 'trace_hash': 301840405249190538, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.060', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.893', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.445', 'prec': 17}, {'__RealLiteral__': 0, 'data': '41.864', 'prec': 20}, {'__RealLiteral__': 0, 'data': '8.569', 'prec': 17}, {'__RealLiteral__': 0, 'data': '695.980', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, 'traces': [4, 0, 9, 0, -20, 0, 28, 0, 55, 0, 33, 0, 83, 0, -45, 0, -13, 0, 132, 0, 63, 0, -92, 0, 100, 0, 495, 0, 113, 0, -94, 0, 11, 0, -140, 0, 54, 0, -145, 0, 428, 0, 604, 0, -275, 0, -709, 0, 196, 0, -13, 0, -554, 0, -165, 0, 1044, 0, -100, 0, 588, 0, 385, 0, -415, 0, 484, 0, 540, 0, 128, 0, 1508, 0, 225, 0, 231, 0, -587, 0, 2548, 0, 220, 0, 65, 0, -2887, 0, -1392, 0, 581, 0, -2074, 0, -660, 0, 643, 0, 690, 0, -406, 0, -1309, 0, -315, 0, 3174, 0, 695, 0, -1144, 0, -662, 0, 460, 0, 4784, 0, -91, 0, -697, 0, 6750, 0, -500, 0, -1316, 0, -2016, 0, 1376, 0, 924, 0, -2475, 0, -1880, 0, 4422, 0, -1563, 0, -569, 0, -565, 0, 441, 0, 2820, 0, 709, 0, 908, 0, 470, 0, -1680, 0, 400, 0, -644, 0, 10058, 0, -55, 0, 1203, 0, 2011, 0, 10608, 0, 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'weight_parity': 1}
• 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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-0.3353046108937562, -0.15263123231614503, -0.3049102009371143, -0.37506810608937075, -0.3700411653399019, -0.2902752669283148, -0.13837062132680383, -0.29539933022608866, -0.32491972354801507, -0.307857947898328, -0.20555767555523316, -0.1123598370356237, -0.1352977971051185, -0.17598757071485108, -0.25330428578685454, -0.30345101318130446, -0.2560023988049968, -0.31501757933516633, -0.24493861838207906, -0.15329372366630012, -0.28296550779685287, -0.046228209062715964, -0.10243135542397759, -0.1674178604011911, -0.2407586245614366], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': -5.438738556198765, 'hecke_orbit': 64, 'hecke_orbit_code': 283726776591452352, 'label': '2240.4.a.cl.1.1', 'level': 2240, 'weight': 4}
• 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': [[[[2, 1], [5, 1], [7, -1]], 17, 8], [[[2, -1], [5, -1], [7, -1]], 16, 8], [[[2, 1], [5, -1], [7, -1]], 20, 9], [[[2, 1], [5, 1], [7, 1]], 19, 8], [[[2, 1], [5, -1], [7, 1]], 16, 7], [[[2, -1], [5, -1], [7, 1]], 20, 10], [[[2, -1], [5, 1], [7, -1]], 19, 9], [[[2, -1], [5, 1], [7, 1]], 17, 9]], 'ALdims': [19, 17, 16, 20, 17, 19, 20, 16], 'Nk2': 35840, 'analytic_conductor': 132.16427841285898, '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': [2240, 1, [1471, 1541, 897, 1921], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1128, 'dim': 144, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 11], 'hecke_orbit_code': 67111104, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5], 'label': '2240.4.a', 'level': 2240, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5, 7], 'level_radical': 70, 'mf_dim': 1176, 'mf_new_dim': 144, 'num_forms': 68, 'plus_dim': 78, 'prim_orbit_index': 1, 'relative_dim': 144, 'sturm_bound': 1536, 'trace_bound': 11, 'trace_display': [0, 0, 0, 0], 'traces': [144, 0, 0, 0, 0, 0, 0, 0, 1296, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3600, 0, 0, 0, -400, 0, 0, 0, -928, 0, 0, 0, -16, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 7056, 0, 0, 0, 752, 0, 0, 0, 1376, 0, 0, 0, -1824, 0, 0, 0, 0, 0, 0, 0, -1056, 0, 0, 0, 0, 0, 0, 0, 1904, 0, 0, 0, 15344, 0, 0, 0, 480, 0, 0, 0, 0, 0, 0, 0, -8544, 0, 0, 0, 0, 0, 0, 0, -6240, 0, 0, 0, 0, 0, 0, 0, 6224, 0, 0, 0, 10240, 0, 0, 0, -1632, 0, 0, 0, 20144, 0, 0, 0, 0, 0, 0, 0, 4000, 0, 0, 0, 0, 0, 0, 0, 4416, 0, 0, 0, 17712, 0, 0, 0, 0, 0, 0, 0, 10784, 0, 0, 0, 12288, 0, 0, 0, 0, 0, 0, 0, -1120, 0, 0, 0, 3120, 0, 0, 0, 24336, 0, 0, 0, 30720, 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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: 49113551
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 283726776591452352, 'source_is_minimal': False, 'source_label': '2240.4.a.cl.1.1', 'source_level': 2240, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 283726776591452352, 'target_is_minimal': False, 'target_label': '2240.4.a.cl.1.1', 'target_level': 2240, 'twist_class_label': '1120.4.a.e.1.4', 'twist_class_level': 1120, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 49113552
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 283726776591452352, 'source_is_minimal': False, 'source_label': '2240.4.a.cl.1.1', 'source_level': 2240, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 234187180690376896, 'target_is_minimal': False, 'target_label': '2240.4.a.ca.1.4', 'target_level': 2240, 'twist_class_label': '1120.4.a.e.1.4', 'twist_class_level': 1120, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 49113553
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 283726776591452352, 'source_is_minimal': False, 'source_label': '2240.4.a.cl.1.1', 'source_level': 2240, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 67553994477667424, 'target_is_minimal': True, 'target_label': '1120.4.a.p.1.1', 'target_level': 1120, 'twist_class_label': '1120.4.a.e.1.4', 'twist_class_level': 1120, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 49113554
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 283726776591452352, 'source_is_minimal': False, 'source_label': '2240.4.a.cl.1.1', 'source_level': 2240, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 18014398576591968, 'target_is_minimal': True, 'target_label': '1120.4.a.e.1.4', 'target_level': 1120, 'twist_class_label': '1120.4.a.e.1.4', 'twist_class_level': 1120, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2520000
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 283726776591452352, 'p': 2}
  • id: 2520001
    {'charpoly_factorization': [[[28, 285, -41, -9, 1], 1]], 'hecke_orbit_code': 283726776591452352, 'p': 3}
  • id: 2520002
    {'charpoly_factorization': [[[5, 1], 4]], 'hecke_orbit_code': 283726776591452352, 'p': 5}
  • id: 2520003
    {'charpoly_factorization': [[[-7, 1], 4]], 'hecke_orbit_code': 283726776591452352, 'p': 7}
  • id: 2520004
    {'charpoly_factorization': [[[255388, 45525, -1769, -33, 1], 1]], 'hecke_orbit_code': 283726776591452352, 'p': 11}
  • id: 2520005
    {'charpoly_factorization': [[[-811146, 201159, -1955, -83, 1], 1]], 'hecke_orbit_code': 283726776591452352, 'p': 13}
  • id: 2520006
    {'charpoly_factorization': [[[4921962, 50991, -8591, 13, 1], 1]], 'hecke_orbit_code': 283726776591452352, 'p': 17}
  • id: 2520007
    {'charpoly_factorization': [[[-5605632, 309024, -336, -132, 1], 1]], 'hecke_orbit_code': 283726776591452352, 'p': 19}
  • id: 2520008
    {'charpoly_factorization': [[[-2700800, -268000, -3696, 92, 1], 1]], 'hecke_orbit_code': 283726776591452352, 'p': 23}
  • id: 2520009
    {'charpoly_factorization': [[[337345458, 5860989, -57599, -113, 1], 1]], 'hecke_orbit_code': 283726776591452352, 'p': 29}
  • id: 2520010
    {'charpoly_factorization': [[[-130638144, -5170104, -48548, 94, 1], 1]], 'hecke_orbit_code': 283726776591452352, 'p': 31}
  • id: 2520011
    {'charpoly_factorization': [[[12778432, 1179552, -25952, -54, 1], 1]], 'hecke_orbit_code': 283726776591452352, 'p': 37}
  • id: 2520012
    {'charpoly_factorization': [[[-2804834384, 49138384, -99840, -428, 1], 1]], 'hecke_orbit_code': 283726776591452352, 'p': 41}
  • id: 2520013
    {'charpoly_factorization': [[[-3522396800, 30431840, 27456, -604, 1], 1]], 'hecke_orbit_code': 283726776591452352, 'p': 43}
  • id: 2520014
    {'charpoly_factorization': [[[-1181540696, -2247593, 128283, 709, 1], 1]], 'hecke_orbit_code': 283726776591452352, 'p': 47}
  • id: 2520015
    {'charpoly_factorization': [[[69798912, 4577664, 85936, 554, 1], 1]], 'hecke_orbit_code': 283726776591452352, 'p': 53}
  • id: 2520016
    {'charpoly_factorization': [[[2209334784, 43419840, -298928, 100, 1], 1]], 'hecke_orbit_code': 283726776591452352, 'p': 59}
  • id: 2520017
    {'charpoly_factorization': [[[10917583408, 129745104, -254624, -588, 1], 1]], 'hecke_orbit_code': 283726776591452352, 'p': 61}
  • id: 2520018
    {'charpoly_factorization': [[[-461318144, 19781888, -115680, -484, 1], 1]], 'hecke_orbit_code': 283726776591452352, 'p': 67}
  • id: 2520019
    {'charpoly_factorization': [[[29925186816, 31302144, -364640, -128, 1], 1]], 'hecke_orbit_code': 283726776591452352, 'p': 71}
  • id: 2520020
    {'charpoly_factorization': [[[-155433416208, 645311376, 19072, -1508, 1], 1]], 'hecke_orbit_code': 283726776591452352, 'p': 73}
  • id: 2520021
    {'charpoly_factorization': [[[1424762644, -86649439, -179049, 587, 1], 1]], 'hecke_orbit_code': 283726776591452352, 'p': 79}
  • id: 2520022
    {'charpoly_factorization': [[[39267818496, 47877120, -580736, -220, 1], 1]], 'hecke_orbit_code': 283726776591452352, 'p': 83}
  • id: 2520023
    {'charpoly_factorization': [[[-104478749424, -407822688, 123144, 1392, 1], 1]], 'hecke_orbit_code': 283726776591452352, 'p': 89}
  • id: 2520024
    {'charpoly_factorization': [[[-98500524374, 960327839, -1179375, -643, 1], 1]], 'hecke_orbit_code': 283726776591452352, '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': 64, 'label': '2240.4.a.cl', 'level': 2240, 'portrait': 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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 279901000
    {'hecke_orbit_code': 283726776591452352, 'n': 1, 'trace_an': 4}
  • id: 279901001
    {'hecke_orbit_code': 283726776591452352, 'n': 2, 'trace_an': 0}
  • id: 279901002
    {'hecke_orbit_code': 283726776591452352, 'n': 3, 'trace_an': 9}
  • id: 279901003
    {'hecke_orbit_code': 283726776591452352, 'n': 4, 'trace_an': 0}
  • id: 279901004
    {'hecke_orbit_code': 283726776591452352, 'n': 5, 'trace_an': -20}
  • id: 279901005
    {'hecke_orbit_code': 283726776591452352, 'n': 6, 'trace_an': 0}
  • id: 279901006
    {'hecke_orbit_code': 283726776591452352, 'n': 7, 'trace_an': 28}
  • id: 279901007
    {'hecke_orbit_code': 283726776591452352, 'n': 8, 'trace_an': 0}
  • id: 279901008
    {'hecke_orbit_code': 283726776591452352, 'n': 9, 'trace_an': 55}
  • id: 279901009
    {'hecke_orbit_code': 283726776591452352, 'n': 10, 'trace_an': 0}
  • id: 279901010
    {'hecke_orbit_code': 283726776591452352, 'n': 11, 'trace_an': 33}
  • id: 279901011
    {'hecke_orbit_code': 283726776591452352, 'n': 12, 'trace_an': 0}
  • id: 279901012
    {'hecke_orbit_code': 283726776591452352, 'n': 13, 'trace_an': 83}
  • id: 279901013
    {'hecke_orbit_code': 283726776591452352, 'n': 14, 'trace_an': 0}
  • id: 279901014
    {'hecke_orbit_code': 283726776591452352, 'n': 15, 'trace_an': -45}
  • id: 279901015
    {'hecke_orbit_code': 283726776591452352, 'n': 16, 'trace_an': 0}
  • id: 279901016
    {'hecke_orbit_code': 283726776591452352, 'n': 17, 'trace_an': -13}
  • id: 279901017
    {'hecke_orbit_code': 283726776591452352, 'n': 18, 'trace_an': 0}
  • id: 279901018
    {'hecke_orbit_code': 283726776591452352, 'n': 19, 'trace_an': 132}
  • id: 279901019
    {'hecke_orbit_code': 283726776591452352, 'n': 20, 'trace_an': 0}
  • id: 279901020
    {'hecke_orbit_code': 283726776591452352, 'n': 21, 'trace_an': 63}
  • id: 279901021
    {'hecke_orbit_code': 283726776591452352, 'n': 22, 'trace_an': 0}
  • id: 279901022
    {'hecke_orbit_code': 283726776591452352, 'n': 23, 'trace_an': -92}
  • id: 279901023
    {'hecke_orbit_code': 283726776591452352, 'n': 24, 'trace_an': 0}
  • id: 279901024
    {'hecke_orbit_code': 283726776591452352, 'n': 25, 'trace_an': 100}
  • id: 279901025
    {'hecke_orbit_code': 283726776591452352, 'n': 26, 'trace_an': 0}
  • id: 279901026
    {'hecke_orbit_code': 283726776591452352, 'n': 27, 'trace_an': 495}
  • id: 279901027
    {'hecke_orbit_code': 283726776591452352, 'n': 28, 'trace_an': 0}
  • id: 279901028
    {'hecke_orbit_code': 283726776591452352, 'n': 29, 'trace_an': 113}
  • id: 279901029
    {'hecke_orbit_code': 283726776591452352, 'n': 30, 'trace_an': 0}
  • id: 279901030
    {'hecke_orbit_code': 283726776591452352, 'n': 31, 'trace_an': -94}
  • id: 279901031
    {'hecke_orbit_code': 283726776591452352, 'n': 32, 'trace_an': 0}
  • id: 279901032
    {'hecke_orbit_code': 283726776591452352, 'n': 33, 'trace_an': 11}
  • id: 279901033
    {'hecke_orbit_code': 283726776591452352, 'n': 34, 'trace_an': 0}
  • id: 279901034
    {'hecke_orbit_code': 283726776591452352, 'n': 35, 'trace_an': -140}
  • id: 279901035
    {'hecke_orbit_code': 283726776591452352, 'n': 36, 'trace_an': 0}
  • id: 279901036
    {'hecke_orbit_code': 283726776591452352, 'n': 37, 'trace_an': 54}
  • id: 279901037
    {'hecke_orbit_code': 283726776591452352, 'n': 38, 'trace_an': 0}
  • id: 279901038
    {'hecke_orbit_code': 283726776591452352, 'n': 39, 'trace_an': -145}
  • id: 279901039
    {'hecke_orbit_code': 283726776591452352, 'n': 40, 'trace_an': 0}
  • id: 279901040
    {'hecke_orbit_code': 283726776591452352, 'n': 41, 'trace_an': 428}
  • id: 279901041
    {'hecke_orbit_code': 283726776591452352, 'n': 42, 'trace_an': 0}
  • id: 279901042
    {'hecke_orbit_code': 283726776591452352, 'n': 43, 'trace_an': 604}
  • id: 279901043
    {'hecke_orbit_code': 283726776591452352, 'n': 44, 'trace_an': 0}
  • id: 279901044
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  • id: 279901989
    {'hecke_orbit_code': 283726776591452352, 'n': 990, 'trace_an': 0}
  • id: 279901990
    {'hecke_orbit_code': 283726776591452352, 'n': 991, 'trace_an': 26364}
  • id: 279901991
    {'hecke_orbit_code': 283726776591452352, 'n': 992, 'trace_an': 0}
  • id: 279901992
    {'hecke_orbit_code': 283726776591452352, 'n': 993, 'trace_an': 65564}
  • id: 279901993
    {'hecke_orbit_code': 283726776591452352, 'n': 994, 'trace_an': 0}
  • id: 279901994
    {'hecke_orbit_code': 283726776591452352, 'n': 995, 'trace_an': 14640}
  • id: 279901995
    {'hecke_orbit_code': 283726776591452352, 'n': 996, 'trace_an': 0}
  • id: 279901996
    {'hecke_orbit_code': 283726776591452352, 'n': 997, 'trace_an': 50065}
  • id: 279901997
    {'hecke_orbit_code': 283726776591452352, 'n': 998, 'trace_an': 0}
  • id: 279901998
    {'hecke_orbit_code': 283726776591452352, 'n': 999, 'trace_an': -101056}
  • id: 279901999
    {'hecke_orbit_code': 283726776591452352, 'n': 1000, 'trace_an': 0}