Embedded newform data - 1127.4.a.c.1.2

Formats: - HTML - YAML - JSON - 2024-05-16T23:20:35.497597

• 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': 18032, 'analytic_conductor': 66.49515257646968, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[7, -1], [23, 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': [1127, 1, [346, 442], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 4, 'field_disc': 334189, 'field_disc_factorization': [[334189, 1]], 'field_poly': [4, -5, -16, -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': [[2, [2, 61, -24, -2, 1]], [3, [-152, -131, -13, 7, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007199321850983, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], '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': '1127.4.a.c', 'level': 1127, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [7, 23], 'level_radical': 161, 'minimal_twist': '23.4.a.b', 'nf_label': '4.4.334189.1', 'prim_orbit_index': 1, 'qexp_display': 'q+(1+\\beta _{3})q^{2}+(-1-\\beta _{1}-\\beta _{2})q^{3}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1127.4.a', 'trace_display': [2, -7, -14, 0], 'trace_hash': 2300925331235304094, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.720', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '35.169', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '488.045', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, 'traces': [4, 2, -7, 20, -14, 17, 0, -63, -33, 70, 8, 67, -111, 0, 10, 64, -98, 49, -96, -140, 0, 220, -92, 188, 184, 229, 155, 0, 21, -406, 193, -432, 418, -666, 0, -629, 170, -748, -291, 26, 125, 0, 2, 830, -168, -46, 677, -551, 0, 414, -340, -2247, -230, -641, 972, 0, 1322, -1835, 1140, -804, -754, -443, 0, -805, 1318, 398, 488, -284, 161, 0, -401, 1503, -1509, 1366, -1401, 3832, 0, -1907, -838, -2846, -932, 949, -142, 0, 112, 918, -2223, -404, -2342, -1784, 0, -460, -509, -1567, -956, -799, -1062, 0, -1498, -1608, 2612, -1324, -2480, 3448, 0, -5862, 2908, -715, -2256, 264, 1826, 0, 1646, 2546, 322, -1503, 2580, 276, 0, 354, -284, -2586, 201, 831, 5004, 0, 1277, 2132, -1288, -1694, -1423, -1360, 0, 4100, 1830, -2028, -1518, -391, -2641, 0, -2577, 5671, -2814, -461, -3098, 3103, 0, 580, -4618, -3325, -289, 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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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-0.3223338473226317, -0.16658315679051452, -0.11601347020157618, -0.19973677952925517, -0.19685913027597723, -0.3306133354880736, -0.1518382780089161, -0.15196607866876366, -0.1546669118085258, -0.33653246693552735, -0.35147682480222847, -0.297690542256743, -0.22521030243284526, -0.4140111263970016, -0.13334033398646072, -0.1302996270110255, -0.17874879876642372, -0.30328806889762316, -0.3019048854553527, -0.3811357696023949, -0.23270911265206742, -0.32314596352309805, -0.21760558906493793, -0.3363613552860988, -0.23000635314094683, -0.38330739496342153, -0.23087581021270426, -0.09148098357205237, -0.11489268939948148], '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': 5.220310099602201, 'hecke_orbit': 3, 'hecke_orbit_code': 9007199321850983, 'label': '1127.4.a.c.1.2', 'level': 1127, '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': [[[[7, -1], [23, 1]], 54, 6], [[[7, -1], [23, -1]], 63, 5], [[[7, 1], [23, -1]], 48, 2], [[[7, 1], [23, 1]], 60, 2]], 'ALdims': [60, 48, 54, 63], 'Nk2': 18032, 'analytic_conductor': 66.49515257646968, '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': [1127, 1, [346, 442], [1, 1]], 'conrey_index': 1, 'cusp_dim': 328, 'dim': 225, 'eis_dim': 16, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 3], 'hecke_orbit_code': 67109991, 'hecke_orbit_dims': [1, 2, 4, 5, 8, 9, 12, 12, 20, 22, 22, 22, 22, 26, 38], 'label': '1127.4.a', 'level': 1127, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [7, 23], 'level_radical': 161, 'mf_dim': 344, 'mf_new_dim': 225, 'num_forms': 15, 'plus_dim': 123, 'prim_orbit_index': 1, 'relative_dim': 225, 'sturm_bound': 448, 'trace_bound': 3, 'trace_display': [0, 2, 8, 0], 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1851310, -2186, 0, -1231936, 1240603, 182450, -3520720, -267724, 3397992, 0, -1019988, 556830, -62054, 607392, 1298486, 474904, 0, 715170, -6564728, 939406, -3565898, 581840, 3739824, 0, 1208825, 31064, -676334, -46152, -1399720, -56120, 0, -1330232, -2398222, -381008, -2051606, 1139404, 4719058, 0, -205758, -2213380, -504796, 4201192, -2562227, -234288, 0, -1788776, 2879853, 984394, -6590928], 'weight': 4, '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: 40441561
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007199321850983, 'source_is_minimal': False, 'source_label': '1127.4.a.c.1.2', 'source_level': 1127, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007199321850983, 'target_is_minimal': False, 'target_label': '1127.4.a.c.1.2', 'target_level': 1127, 'twist_class_label': '23.4.a.b.1.2', 'twist_class_level': 23, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 40441562
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007199321850983, 'source_is_minimal': False, 'source_label': '1127.4.a.c.1.2', 'source_level': 1127, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4503599694479383, 'target_is_minimal': True, 'target_label': '23.4.a.b.1.2', 'target_level': 23, 'twist_class_label': '23.4.a.b.1.2', 'twist_class_level': 23, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 4}
  • id: 40441563
    {'conductor': 21, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007199321850983, 'source_is_minimal': False, 'source_label': '1127.4.a.c.1.2', 'source_level': 1127, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 18014398576591055, 'target_is_minimal': False, 'target_label': '207.4.a.e.1.3', 'target_level': 207, 'twist_class_label': '23.4.a.b.1.2', 'twist_class_level': 23, 'twisting_char_label': '21.20', 'twisting_conrey_index': 20, 'weight': 4}
  • id: 40441564
    {'conductor': 28, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007199321850983, 'source_is_minimal': False, 'source_label': '1127.4.a.c.1.2', 'source_level': 1127, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 49539595968184688, 'target_is_minimal': False, 'target_label': '368.4.a.l.1.1', 'target_level': 368, 'twist_class_label': '23.4.a.b.1.2', 'twist_class_level': 23, 'twisting_char_label': '28.27', 'twisting_conrey_index': 27, 'weight': 4}
  • id: 40441565
    {'conductor': 35, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007199321850983, 'source_is_minimal': False, 'source_label': '1127.4.a.c.1.2', 'source_level': 1127, 'target_conrey_index': 24, 'target_dim': 8, 'target_embedding_index': 5, 'target_hecke_orbit_code': 27021666550809151, 'target_is_minimal': False, 'target_label': '575.4.b.g.24.5', 'target_level': 575, 'twist_class_label': '23.4.a.b.1.2', 'twist_class_level': 23, 'twisting_char_label': '35.13', 'twisting_conrey_index': 13, 'weight': 4}
  • id: 40441566
    {'conductor': 35, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007199321850983, 'source_is_minimal': False, 'source_label': '1127.4.a.c.1.2', 'source_level': 1127, 'target_conrey_index': 24, 'target_dim': 8, 'target_embedding_index': 4, 'target_hecke_orbit_code': 27021666550809151, 'target_is_minimal': False, 'target_label': '575.4.b.g.24.4', 'target_level': 575, 'twist_class_label': '23.4.a.b.1.2', 'twist_class_level': 23, 'twisting_char_label': '35.27', 'twisting_conrey_index': 27, 'weight': 4}
  • id: 40441567
    {'conductor': 35, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007199321850983, 'source_is_minimal': False, 'source_label': '1127.4.a.c.1.2', 'source_level': 1127, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 36028797086073407, 'target_is_minimal': False, 'target_label': '575.4.a.i.1.3', 'target_level': 575, 'twist_class_label': '23.4.a.b.1.2', 'twist_class_level': 23, 'twisting_char_label': '35.34', 'twisting_conrey_index': 34, 'weight': 4}
  • id: 40441568
    {'conductor': 56, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007199321850983, 'source_is_minimal': False, 'source_label': '1127.4.a.c.1.2', 'source_level': 1127, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 108086391124002240, 'target_is_minimal': False, 'target_label': '1472.4.a.y.1.1', 'target_level': 1472, 'twist_class_label': '23.4.a.b.1.2', 'twist_class_level': 23, 'twisting_char_label': '56.13', 'twisting_conrey_index': 13, 'weight': 4}
  • id: 40441569
    {'conductor': 56, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007199321850983, 'source_is_minimal': False, 'source_label': '1127.4.a.c.1.2', 'source_level': 1127, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 139611588515595712, 'target_is_minimal': False, 'target_label': '1472.4.a.bf.1.4', 'target_level': 1472, 'twist_class_label': '23.4.a.b.1.2', 'twist_class_level': 23, 'twisting_char_label': '56.27', 'twisting_conrey_index': 27, 'weight': 4}
  • id: 40441570
    {'conductor': 161, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007199321850983, 'source_is_minimal': False, 'source_label': '1127.4.a.c.1.2', 'source_level': 1127, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 27021597831332369, 'target_is_minimal': False, 'target_label': '529.4.a.g.1.2', 'target_level': 529, 'twist_class_label': '23.4.a.b.1.2', 'twist_class_level': 23, 'twisting_char_label': '161.160', 'twisting_conrey_index': 160, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1706200
    {'charpoly_factorization': [[[2, 61, -24, -2, 1], 1]], 'hecke_orbit_code': 9007199321850983, 'p': 2}
  • id: 1706201
    {'charpoly_factorization': [[[-152, -131, -13, 7, 1], 1]], 'hecke_orbit_code': 9007199321850983, 'p': 3}
  • id: 1706202
    {'charpoly_factorization': [[[-19904, -4832, -244, 14, 1], 1]], 'hecke_orbit_code': 9007199321850983, 'p': 5}
  • id: 1706203
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 9007199321850983, 'p': 7}
  • id: 1706204
    {'charpoly_factorization': [[[-81440, 56152, -2488, -8, 1], 1]], 'hecke_orbit_code': 9007199321850983, 'p': 11}
  • id: 1706205
    {'charpoly_factorization': [[[1322658, -125283, 529, 111, 1], 1]], 'hecke_orbit_code': 9007199321850983, 'p': 13}
  • id: 1706206
    {'charpoly_factorization': [[[-855280, -104248, -1008, 98, 1], 1]], 'hecke_orbit_code': 9007199321850983, 'p': 17}
  • id: 1706207
    {'charpoly_factorization': [[[66996944, -1311040, -21208, 96, 1], 1]], 'hecke_orbit_code': 9007199321850983, 'p': 19}
  • id: 1706208
    {'charpoly_factorization': [[[23, 1], 4]], 'hecke_orbit_code': 9007199321850983, 'p': 23}
  • id: 1706209
    {'charpoly_factorization': [[[325399050, 2769801, -54527, -21, 1], 1]], 'hecke_orbit_code': 9007199321850983, 'p': 29}
  • id: 1706210
    {'charpoly_factorization': [[[-58104720, 1511421, -685, -193, 1], 1]], 'hecke_orbit_code': 9007199321850983, 'p': 31}
  • id: 1706211
    {'charpoly_factorization': [[[2389345472, 10946176, -135012, -170, 1], 1]], 'hecke_orbit_code': 9007199321850983, 'p': 37}
  • id: 1706212
    {'charpoly_factorization': [[[29467114, 543281, -13663, -125, 1], 1]], 'hecke_orbit_code': 9007199321850983, 'p': 41}
  • id: 1706213
    {'charpoly_factorization': [[[78004224, -6041088, -80432, -2, 1], 1]], 'hecke_orbit_code': 9007199321850983, 'p': 43}
  • id: 1706214
    {'charpoly_factorization': [[[-3169103456, 34063993, 26651, -677, 1], 1]], 'hecke_orbit_code': 9007199321850983, 'p': 47}
  • id: 1706215
    {'charpoly_factorization': [[[7631805536, -80558392, -333612, 230, 1], 1]], 'hecke_orbit_code': 9007199321850983, 'p': 53}
  • id: 1706216
    {'charpoly_factorization': [[[1146071296, -44165184, 401280, -1140, 1], 1]], 'hecke_orbit_code': 9007199321850983, 'p': 59}
  • id: 1706217
    {'charpoly_factorization': [[[-621762112, 513304, 135708, 754, 1], 1]], 'hecke_orbit_code': 9007199321850983, 'p': 61}
  • id: 1706218
    {'charpoly_factorization': [[[-1826338144, 130952104, -260568, -488, 1], 1]], 'hecke_orbit_code': 9007199321850983, 'p': 67}
  • id: 1706219
    {'charpoly_factorization': [[[-5581505296, -298072101, -687701, 401, 1], 1]], 'hecke_orbit_code': 9007199321850983, 'p': 71}
  • id: 1706220
    {'charpoly_factorization': [[[-14695752674, -92572593, 425877, 1509, 1], 1]], 'hecke_orbit_code': 9007199321850983, 'p': 73}
  • id: 1706221
    {'charpoly_factorization': [[[-61908677856, -297551352, -181084, 838, 1], 1]], 'hecke_orbit_code': 9007199321850983, 'p': 79}
  • id: 1706222
    {'charpoly_factorization': [[[7015211408, -88041768, -383600, 142, 1], 1]], 'hecke_orbit_code': 9007199321850983, 'p': 83}
  • id: 1706223
    {'charpoly_factorization': [[[-213195182848, -88039456, 1462056, 2342, 1], 1]], 'hecke_orbit_code': 9007199321850983, 'p': 89}
  • id: 1706224
    {'charpoly_factorization': [[[60054540368, -721154456, -1780792, 1062, 1], 1]], 'hecke_orbit_code': 9007199321850983, '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': 3, 'label': '1127.4.a.c', 'level': 1127, 'portrait': 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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 110621000
    {'hecke_orbit_code': 9007199321850983, 'n': 1, 'trace_an': 4}
  • id: 110621001
    {'hecke_orbit_code': 9007199321850983, 'n': 2, 'trace_an': 2}
  • id: 110621002
    {'hecke_orbit_code': 9007199321850983, 'n': 3, 'trace_an': -7}
  • id: 110621003
    {'hecke_orbit_code': 9007199321850983, 'n': 4, 'trace_an': 20}
  • id: 110621004
    {'hecke_orbit_code': 9007199321850983, 'n': 5, 'trace_an': -14}
  • id: 110621005
    {'hecke_orbit_code': 9007199321850983, 'n': 6, 'trace_an': 17}
  • id: 110621006
    {'hecke_orbit_code': 9007199321850983, 'n': 7, 'trace_an': 0}
  • id: 110621007
    {'hecke_orbit_code': 9007199321850983, 'n': 8, 'trace_an': -63}
  • id: 110621008
    {'hecke_orbit_code': 9007199321850983, 'n': 9, 'trace_an': -33}
  • id: 110621009
    {'hecke_orbit_code': 9007199321850983, 'n': 10, 'trace_an': 70}
  • id: 110621010
    {'hecke_orbit_code': 9007199321850983, 'n': 11, 'trace_an': 8}
  • id: 110621011
    {'hecke_orbit_code': 9007199321850983, 'n': 12, 'trace_an': 67}
  • id: 110621012
    {'hecke_orbit_code': 9007199321850983, 'n': 13, 'trace_an': -111}
  • id: 110621013
    {'hecke_orbit_code': 9007199321850983, 'n': 14, 'trace_an': 0}
  • id: 110621014
    {'hecke_orbit_code': 9007199321850983, 'n': 15, 'trace_an': 10}
  • id: 110621015
    {'hecke_orbit_code': 9007199321850983, 'n': 16, 'trace_an': 64}
  • id: 110621016
    {'hecke_orbit_code': 9007199321850983, 'n': 17, 'trace_an': -98}
  • id: 110621017
    {'hecke_orbit_code': 9007199321850983, 'n': 18, 'trace_an': 49}
  • id: 110621018
    {'hecke_orbit_code': 9007199321850983, 'n': 19, 'trace_an': -96}
  • id: 110621019
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    {'hecke_orbit_code': 9007199321850983, 'n': 976, 'trace_an': 18558}
  • id: 110621976
    {'hecke_orbit_code': 9007199321850983, 'n': 977, 'trace_an': -56004}
  • id: 110621977
    {'hecke_orbit_code': 9007199321850983, 'n': 978, 'trace_an': 44247}
  • id: 110621978
    {'hecke_orbit_code': 9007199321850983, 'n': 979, 'trace_an': -3820}
  • id: 110621979
    {'hecke_orbit_code': 9007199321850983, 'n': 980, 'trace_an': 0}
  • id: 110621980
    {'hecke_orbit_code': 9007199321850983, 'n': 981, 'trace_an': -35664}
  • id: 110621981
    {'hecke_orbit_code': 9007199321850983, 'n': 982, 'trace_an': 8569}
  • id: 110621982
    {'hecke_orbit_code': 9007199321850983, 'n': 983, 'trace_an': -27742}
  • id: 110621983
    {'hecke_orbit_code': 9007199321850983, 'n': 984, 'trace_an': 13440}
  • id: 110621984
    {'hecke_orbit_code': 9007199321850983, 'n': 985, 'trace_an': -2378}
  • id: 110621985
    {'hecke_orbit_code': 9007199321850983, 'n': 986, 'trace_an': 79076}
  • id: 110621986
    {'hecke_orbit_code': 9007199321850983, 'n': 987, 'trace_an': 0}
  • id: 110621987
    {'hecke_orbit_code': 9007199321850983, 'n': 988, 'trace_an': -186654}
  • id: 110621988
    {'hecke_orbit_code': 9007199321850983, 'n': 989, 'trace_an': -46}
  • id: 110621989
    {'hecke_orbit_code': 9007199321850983, 'n': 990, 'trace_an': -14488}
  • id: 110621990
    {'hecke_orbit_code': 9007199321850983, 'n': 991, 'trace_an': 49128}
  • id: 110621991
    {'hecke_orbit_code': 9007199321850983, 'n': 992, 'trace_an': -27195}
  • id: 110621992
    {'hecke_orbit_code': 9007199321850983, 'n': 993, 'trace_an': 40291}
  • id: 110621993
    {'hecke_orbit_code': 9007199321850983, 'n': 994, 'trace_an': 0}
  • id: 110621994
    {'hecke_orbit_code': 9007199321850983, 'n': 995, 'trace_an': 4628}
  • id: 110621995
    {'hecke_orbit_code': 9007199321850983, 'n': 996, 'trace_an': 45754}
  • id: 110621996
    {'hecke_orbit_code': 9007199321850983, 'n': 997, 'trace_an': -42908}
  • id: 110621997
    {'hecke_orbit_code': 9007199321850983, 'n': 998, 'trace_an': -43117}
  • id: 110621998
    {'hecke_orbit_code': 9007199321850983, 'n': 999, 'trace_an': -99218}
  • id: 110621999
    {'hecke_orbit_code': 9007199321850983, 'n': 1000, 'trace_an': -90724}