Newform data - 192.8.a.s

Formats: - HTML - YAML - JSON - 2024-04-20T01:22:18.242546

• 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': 12288, 'analytic_conductor': 59.97792489295138, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, 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': [192, 1, [127, 133, 65], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 2, 'field_disc': 24, 'field_disc_factorization': [[2, 3], [3, 1]], 'field_poly': [-6, 0, 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': [[5, [-124220, -28, 1]], [7, [-458352, 936, 1]]], 'hecke_orbit': 19, 'hecke_orbit_code': 81064793426886848, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 48, 'hecke_ring_index_factorization': [[2, 4], [3, 1]], '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': '192.8.a.s', 'level': 192, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3], 'level_radical': 6, 'minimal_twist': '96.8.a.c', 'nf_label': '2.2.24.1', 'prim_orbit_index': 1, 'qexp_display': 'q-3^{3}q^{3}+(14+3\\beta )q^{5}+(-468+7\\beta )q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '7.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '192.8.a', 'trace_display': [0, -54, 28, -936], 'trace_hash': 1003075157674346414, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.930', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '8.858', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '55.781', 'prec': 20}], 'trace_zratio': 0, 'traces': [2, 0, -54, 0, 28, 0, -936, 0, 1458, 0, -3384, 0, 17076, 0, -756, 0, -18668, 0, 44856, 0, 25272, 0, -43488, 0, 92974, 0, -39366, 0, 19484, 0, -332856, 0, 91368, 0, 567504, 0, 9076, 0, -461052, 0, 491780, 0, 510984, 0, 20412, 0, -1781424, 0, 145714, 0, 504036, 0, 1395692, 0, -3862800, 0, -1211112, 0, 1534104, 0, -1592188, 0, -682344, 0, -3244584, 0, -1169496, 0, 1174176, 0, -5716800, 0, 1180884, 0, -2510298, 0, -7318944, 0, -6538104, 0, 1062882, 0, -16805160, 0, -8721640, 0, -526068, 0, -6118924, 0, -16120080, 0, 8987112, 0, -4514544, 0, 23720868, 0, -2466936, 0, 26209228, 0, 16440264, 0, -15322608, 0, -38227752, 0, -14602668, 0, -245052, 0, -6994300, 0, -52531776, 0, 12448404, 0, -11004048, 0, 25254554, 0, -13278060, 0, 6081432, 0, -35763048, 0, -13796568, 0, -17204184, 0, -32991840, 0, -551124, 0, -57781532, 0, 4014072, 0, 48098448, 0, 24523344, 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2693391244128, 0], 'weight': 8, 'weight_parity': 1}
• 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], [-27, 0], [0, 0], [14, 3], [0, 0], [-468, 7], [0, 0], [729, 0], [0, 0], [-1692, -46], [0, 0], [8538, -42], [0, 0], [-378, -81], [0, 0], [-9334, -102], [0, 0], [22428, -62], [0, 0], [12636, -189], [0, 0], [-21744, -626], [0, 0], [46487, 84], [0, 0], [-19683, 0], [0, 0], [9742, 1569], [0, 0], [-166428, 1275], [0, 0], [45684, 1242], [0, 0], [283752, -1306], [0, 0], [4538, -2772], [0, 0], [-230526, 1134], [0, 0], [245890, -738], [0, 0], [255492, 5110], [0, 0], [10206, 2187], [0, 0], [-890712, 1210], [0, 0], [72857, -6552], [0, 0], [252018, 2754], [0, 0], [697846, -3339], [0, 0], [-1931400, -5720], [0, 0], [-605556, 1674], [0, 0], [767052, -664], [0, 0], [-796094, -3240], [0, 0], [-341172, 5103], [0, 0], [-1622292, 25026], [0, 0], [-584748, -31256], [0, 0], [587088, 16902], [0, 0], [-2858400, -13402], [0, 0], [590442, -23064], [0, 0], [-1255149, -2268], [0, 0], [-3659472, 9684], [0, 0], [-3269052, 7575], [0, 0], [531441, 0], [0, 0], [-8402580, 14378], [0, 0], 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[-197586532224, 1370688696], [-1653014430756, 2683518875], [-642024225830, -8692124682], [820429065792, -4915464630], [-1085320091882, -7778264769], [-612912144166, 9322610940], [-1501205008320, -2050558988], [-289867650876, -6264752330], [-1423563859478, -2382438672], [701124126046, -12755289615], [-969252284772, 683228374], [-828442397926, 16196391780], [-986370662268, -5002650526], [1346695622064, -9688369746]], 'char_orbit_index': 1, 'field_poly': [-6, 0, 1], 'hecke_orbit_code': 81064793426886848, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 1], 'hecke_ring_inverse_denominators': [1, 48], 'hecke_ring_inverse_numerators': [[1, 0], [0, 1]], 'hecke_ring_numerators': [[1, 0], [0, 48]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 2, 'label': '192.8.a.s', 'level': 192, 'maxp': 2999, 'weight': 8}
• 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], [3, -1]], 8, 6], [[[2, 1], [3, -1]], 6, 5], [[[2, -1], [3, 1]], 7, 5], [[[2, 1], [3, 1]], 7, 6]], 'ALdims': [7, 6, 7, 8], 'Nk2': 12288, 'analytic_conductor': 59.97792489295138, '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': [192, 1, [127, 133, 65], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 212, 'dim': 28, 'eis_dim': 24, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 7], 'hecke_orbit_code': 134217920, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2], 'label': '192.8.a', 'level': 192, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3], 'level_radical': 6, 'mf_dim': 236, 'mf_new_dim': 28, 'num_forms': 22, 'plus_dim': 15, 'prim_orbit_index': 1, 'relative_dim': 28, 'sturm_bound': 256, 'trace_bound': 5, 'trace_display': [0, 0, 0, 0], 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-6102501791000, 0, 0, 0, -11019192181056, 0, 0, 0, -5238494190204, 0, 0, 0, 1306874270816, 0, 0, 0, 237756544056, 0, 0, 0, 4804131978560, 0, 0, 0, -1773443824984, 0, 0, 0, 5557111663392, 0, 0, 0, 3731995680728, 0, 0, 0, 16016057484768, 0, 0, 0, 1712623174704, 0, 0, 0, -7355971329376, 0, 0, 0, 863619348928, 0, 0, 0, 1800629988336, 0, 0, 0, 11338112100280, 0, 0, 0, -1034891305264, 0, 0, 0, -457130262528, 0, 0, 0, -8224734394208, 0, 0, 0, 904292629176, 0, 0, 0, -7896730949712, 0, 0, 0, -2127517622272, 0, 0, 0, -16512344926912, 0, 0, 0, 1320683635440, 0, 0, 0, 8921841439488, 0, 0, 0, 1037799191336, 0, 0, 0, -8732275158744, 0, 0, 0, -1273098313536, 0, 0, 0, 5909362438336, 0, 0, 0, -2355198829344, 0, 0, 0, 6522736165608, 0, 0, 0, 10753775392640, 0, 0, 0, 2457376681320, 0, 0, 0, -4989624293264, 0, 0, 0, 18641597246240, 0, 0, 0, -1713611493504, 0, 0, 0, -3425774335264, 0, 0, 0, -855510650432, 0, 0, 0, 9879300875232, 0, 0, 0, -4770007478280, 0, 0, 0, -3687362254256, 0, 0, 0, 761570040384, 0, 0, 0, -9245333018944, 0, 0, 0, -2567764122056, 0, 0, 0, -5655234470472, 0, 0, 0, 1989451895984, 0, 0, 0, -17147658406624, 0, 0, 0, 2909273248944, 0, 0, 0, 5801201543656, 0, 0, 0, 1614697071888, 0, 0, 0, -778654598616, 0, 0, 0], 'weight': 8, 'weight_parity': 1}
• 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: 158641
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 19, 'source_is_minimal': False, 'source_label': '192.8.a.s', 'source_level': 192, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '96.8.a.c', 'target_level': 96, 'twist_class_label': '96.8.a.c', 'twist_class_level': 96, 'twisting_char_label': '8.d', 'twisting_char_orbit': 4, 'weight': 8}
  • id: 158642
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 19, 'source_is_minimal': False, 'source_label': '192.8.a.s', 'source_level': 192, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 6, 'target_is_minimal': True, 'target_label': '96.8.a.f', 'target_level': 96, 'twist_class_label': '96.8.a.c', 'twist_class_level': 96, 'twisting_char_label': '8.b', 'twisting_char_orbit': 2, 'weight': 8}
  • id: 158643
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 19, 'source_is_minimal': False, 'source_label': '192.8.a.s', 'source_level': 192, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 19, 'target_is_minimal': False, 'target_label': '192.8.a.s', 'target_level': 192, 'twist_class_label': '96.8.a.c', 'twist_class_level': 96, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 8}
  • id: 158644
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 19, 'source_is_minimal': False, 'source_label': '192.8.a.s', 'source_level': 192, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 22, 'target_is_minimal': False, 'target_label': '192.8.a.v', 'target_level': 192, 'twist_class_label': '96.8.a.c', 'twist_class_level': 96, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 8}
  • id: 158645
    {'conductor': 24, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 19, 'source_is_minimal': False, 'source_label': '192.8.a.s', 'source_level': 192, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 12, 'target_is_minimal': False, 'target_label': '288.8.a.l', 'target_level': 288, 'twist_class_label': '96.8.a.c', 'twist_class_level': 96, 'twisting_char_label': '24.h', 'twisting_char_orbit': 8, 'weight': 8}
  • id: 158646
    {'conductor': 24, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 19, 'source_is_minimal': False, 'source_label': '192.8.a.s', 'source_level': 192, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 13, 'target_is_minimal': False, 'target_label': '288.8.a.m', 'target_level': 288, 'twist_class_label': '96.8.a.c', 'twist_class_level': 96, 'twisting_char_label': '24.f', 'twisting_char_orbit': 6, 'weight': 8}
  • id: 158647
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 19, 'source_is_minimal': False, 'source_label': '192.8.a.s', 'source_level': 192, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 33, 'target_is_minimal': False, 'target_label': '576.8.a.bg', 'target_level': 576, 'twist_class_label': '96.8.a.c', 'twist_class_level': 96, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 8}
  • id: 158648
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 19, 'source_is_minimal': False, 'source_label': '192.8.a.s', 'source_level': 192, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 34, 'target_is_minimal': False, 'target_label': '576.8.a.bh', 'target_level': 576, 'twist_class_label': '96.8.a.c', 'twist_class_level': 96, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 8}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 481900
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 81064793426886848, 'p': 2}
  • id: 481901
    {'charpoly_factorization': [[[27, 1], 2]], 'hecke_orbit_code': 81064793426886848, 'p': 3}
  • id: 481902
    {'charpoly_factorization': [[[-124220, -28, 1], 1]], 'hecke_orbit_code': 81064793426886848, 'p': 5}
  • id: 481903
    {'charpoly_factorization': [[[-458352, 936, 1], 1]], 'hecke_orbit_code': 81064793426886848, 'p': 7}
  • id: 481904
    {'charpoly_factorization': [[[-26388720, 3384, 1], 1]], 'hecke_orbit_code': 81064793426886848, 'p': 11}
  • id: 481905
    {'charpoly_factorization': [[[48511908, -17076, 1], 1]], 'hecke_orbit_code': 81064793426886848, 'p': 13}
  • id: 481906
    {'charpoly_factorization': [[[-56701340, 18668, 1], 1]], 'hecke_orbit_code': 81064793426886848, 'p': 17}
  • id: 481907
    {'charpoly_factorization': [[[449875728, -44856, 1], 1]], 'hecke_orbit_code': 81064793426886848, 'p': 19}
  • id: 481908
    {'charpoly_factorization': [[[-4944492288, 43488, 1], 1]], 'hecke_orbit_code': 81064793426886848, 'p': 23}
  • id: 481909
    {'charpoly_factorization': [[[-33936477500, -19484, 1], 1]], 'hecke_orbit_code': 81064793426886848, 'p': 29}
  • id: 481910
    {'charpoly_factorization': [[[5225639184, 332856, 1], 1]], 'hecke_orbit_code': 81064793426886848, 'p': 31}
  • id: 481911
    {'charpoly_factorization': [[[-106202801372, -9076, 1], 1]], 'hecke_orbit_code': 81064793426886848, 'p': 37}
  • id: 481912
    {'charpoly_factorization': [[[52932733444, -491780, 1], 1]], 'hecke_orbit_code': 81064793426886848, 'p': 41}
  • id: 481913
    {'charpoly_factorization': [[[-295697508336, -510984, 1], 1]], 'hecke_orbit_code': 81064793426886848, 'p': 43}
  • id: 481914
    {'charpoly_factorization': [[[773128148544, 1781424, 1], 1]], 'hecke_orbit_code': 81064793426886848, 'p': 47}
  • id: 481915
    {'charpoly_factorization': [[[332866355812, -1395692, 1], 1]], 'hecke_orbit_code': 81064793426886848, 'p': 53}
  • id: 481916
    {'charpoly_factorization': [[[582273824400, -1534104, 1], 1]], 'hecke_orbit_code': 81064793426886848, 'p': 59}
  • id: 481917
    {'charpoly_factorization': [[[488646834436, 1592188, 1], 1]], 'hecke_orbit_code': 81064793426886848, 'p': 61}
  • id: 481918
    {'charpoly_factorization': [[[-13163254274160, 1169496, 1], 1]], 'hecke_orbit_code': 81064793426886848, 'p': 67}
  • id: 481919
    {'charpoly_factorization': [[[5687472098304, 5716800, 1], 1]], 'hecke_orbit_code': 81064793426886848, 'p': 71}
  • id: 481920
    {'charpoly_factorization': [[[-7005028723740, -1180884, 1], 1]], 'hecke_orbit_code': 81064793426886848, 'p': 73}
  • id: 481921
    {'charpoly_factorization': [[[9893471218704, 6538104, 1], 1]], 'hecke_orbit_code': 81064793426886848, 'p': 79}
  • id: 481922
    {'charpoly_factorization': [[[67745558211984, 16805160, 1], 1]], 'hecke_orbit_code': 81064793426886848, 'p': 83}
  • id: 481923
    {'charpoly_factorization': [[[2598748017700, 6118924, 1], 1]], 'hecke_orbit_code': 81064793426886848, 'p': 89}
  • id: 481924
    {'charpoly_factorization': [[[126318807666756, -23720868, 1], 1]], 'hecke_orbit_code': 81064793426886848, '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': 19, 'label': '192.8.a.s', 'level': 192, 'portrait': 'data:image/png;base64,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', 'weight': 8}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 246089000
    {'hecke_orbit_code': 81064793426886848, 'n': 1, 'trace_an': 2}
  • id: 246089001
    {'hecke_orbit_code': 81064793426886848, 'n': 2, 'trace_an': 0}
  • id: 246089002
    {'hecke_orbit_code': 81064793426886848, 'n': 3, 'trace_an': -54}
  • id: 246089003
    {'hecke_orbit_code': 81064793426886848, 'n': 4, 'trace_an': 0}
  • id: 246089004
    {'hecke_orbit_code': 81064793426886848, 'n': 5, 'trace_an': 28}
  • id: 246089005
    {'hecke_orbit_code': 81064793426886848, 'n': 6, 'trace_an': 0}
  • id: 246089006
    {'hecke_orbit_code': 81064793426886848, 'n': 7, 'trace_an': -936}
  • id: 246089007
    {'hecke_orbit_code': 81064793426886848, 'n': 8, 'trace_an': 0}
  • id: 246089008
    {'hecke_orbit_code': 81064793426886848, 'n': 9, 'trace_an': 1458}
  • id: 246089009
    {'hecke_orbit_code': 81064793426886848, 'n': 10, 'trace_an': 0}
  • id: 246089010
    {'hecke_orbit_code': 81064793426886848, 'n': 11, 'trace_an': -3384}
  • id: 246089011
    {'hecke_orbit_code': 81064793426886848, 'n': 12, 'trace_an': 0}
  • id: 246089012
    {'hecke_orbit_code': 81064793426886848, 'n': 13, 'trace_an': 17076}
  • id: 246089013
    {'hecke_orbit_code': 81064793426886848, 'n': 14, 'trace_an': 0}
  • id: 246089014
    {'hecke_orbit_code': 81064793426886848, 'n': 15, 'trace_an': -756}
  • id: 246089015
    {'hecke_orbit_code': 81064793426886848, 'n': 16, 'trace_an': 0}
  • id: 246089016
    {'hecke_orbit_code': 81064793426886848, 'n': 17, 'trace_an': -18668}
  • id: 246089017
    {'hecke_orbit_code': 81064793426886848, 'n': 18, 'trace_an': 0}
  • id: 246089018
    {'hecke_orbit_code': 81064793426886848, 'n': 19, 'trace_an': 44856}
  • id: 246089019
    {'hecke_orbit_code': 81064793426886848, 'n': 20, 'trace_an': 0}
  • id: 246089020
    {'hecke_orbit_code': 81064793426886848, 'n': 21, 'trace_an': 25272}
  • id: 246089021
    {'hecke_orbit_code': 81064793426886848, 'n': 22, 'trace_an': 0}
  • id: 246089022
    {'hecke_orbit_code': 81064793426886848, 'n': 23, 'trace_an': -43488}
  • id: 246089023
    {'hecke_orbit_code': 81064793426886848, 'n': 24, 'trace_an': 0}
  • id: 246089024
    {'hecke_orbit_code': 81064793426886848, 'n': 25, 'trace_an': 92974}
  • id: 246089025
    {'hecke_orbit_code': 81064793426886848, 'n': 26, 'trace_an': 0}
  • id: 246089026
    {'hecke_orbit_code': 81064793426886848, 'n': 27, 'trace_an': -39366}
  • id: 246089027
    {'hecke_orbit_code': 81064793426886848, 'n': 28, 'trace_an': 0}
  • id: 246089028
    {'hecke_orbit_code': 81064793426886848, 'n': 29, 'trace_an': 19484}
  • id: 246089029
    {'hecke_orbit_code': 81064793426886848, 'n': 30, 'trace_an': 0}
  • id: 246089030
    {'hecke_orbit_code': 81064793426886848, 'n': 31, 'trace_an': -332856}
  • id: 246089031
    {'hecke_orbit_code': 81064793426886848, 'n': 32, 'trace_an': 0}
  • id: 246089032
    {'hecke_orbit_code': 81064793426886848, 'n': 33, 'trace_an': 91368}
  • id: 246089033
    {'hecke_orbit_code': 81064793426886848, 'n': 34, 'trace_an': 0}
  • id: 246089034
    {'hecke_orbit_code': 81064793426886848, 'n': 35, 'trace_an': 567504}
  • id: 246089035
    {'hecke_orbit_code': 81064793426886848, 'n': 36, 'trace_an': 0}
  • id: 246089036
    {'hecke_orbit_code': 81064793426886848, 'n': 37, 'trace_an': 9076}
  • id: 246089037
    {'hecke_orbit_code': 81064793426886848, 'n': 38, 'trace_an': 0}
  • id: 246089038
    {'hecke_orbit_code': 81064793426886848, 'n': 39, 'trace_an': -461052}
  • id: 246089039
    {'hecke_orbit_code': 81064793426886848, 'n': 40, 'trace_an': 0}
  • id: 246089040
    {'hecke_orbit_code': 81064793426886848, 'n': 41, 'trace_an': 491780}
  • id: 246089041
    {'hecke_orbit_code': 81064793426886848, 'n': 42, 'trace_an': 0}
  • id: 246089042
    {'hecke_orbit_code': 81064793426886848, 'n': 43, 'trace_an': 510984}
  • id: 246089043
    {'hecke_orbit_code': 81064793426886848, 'n': 44, 'trace_an': 0}
  • id: 246089044
    {'hecke_orbit_code': 81064793426886848, 'n': 45, 'trace_an': 20412}
  • id: 246089045
    {'hecke_orbit_code': 81064793426886848, 'n': 46, 'trace_an': 0}
  • id: 246089046
    {'hecke_orbit_code': 81064793426886848, 'n': 47, 'trace_an': -1781424}
  • id: 246089047
    {'hecke_orbit_code': 81064793426886848, 'n': 48, 'trace_an': 0}
  • id: 246089048
    {'hecke_orbit_code': 81064793426886848, 'n': 49, 'trace_an': 145714}
  • id: 246089049
    {'hecke_orbit_code': 81064793426886848, 'n': 50, 'trace_an': 0}
  • id: 246089050
    {'hecke_orbit_code': 81064793426886848, 'n': 51, 'trace_an': 504036}
  • id: 246089051
    {'hecke_orbit_code': 81064793426886848, 'n': 52, 'trace_an': 0}
  • id: 246089052
    {'hecke_orbit_code': 81064793426886848, 'n': 53, 'trace_an': 1395692}
  • id: 246089053
    {'hecke_orbit_code': 81064793426886848, 'n': 54, 'trace_an': 0}
  • id: 246089054
    {'hecke_orbit_code': 81064793426886848, 'n': 55, 'trace_an': -3862800}
  • id: 246089055
    {'hecke_orbit_code': 81064793426886848, 'n': 56, 'trace_an': 0}
  • id: 246089056
    {'hecke_orbit_code': 81064793426886848, 'n': 57, 'trace_an': -1211112}
  • id: 246089057
    {'hecke_orbit_code': 81064793426886848, 'n': 58, 'trace_an': 0}
  • id: 246089058
    {'hecke_orbit_code': 81064793426886848, 'n': 59, 'trace_an': 1534104}
  • id: 246089059
    {'hecke_orbit_code': 81064793426886848, 'n': 60, 'trace_an': 0}
  • id: 246089060
    {'hecke_orbit_code': 81064793426886848, 'n': 61, 'trace_an': -1592188}
  • id: 246089061
    {'hecke_orbit_code': 81064793426886848, 'n': 62, 'trace_an': 0}
  • id: 246089062
    {'hecke_orbit_code': 81064793426886848, 'n': 63, 'trace_an': -682344}
  • id: 246089063
    {'hecke_orbit_code': 81064793426886848, 'n': 64, 'trace_an': 0}
  • id: 246089064
    {'hecke_orbit_code': 81064793426886848, 'n': 65, 'trace_an': -3244584}
  • id: 246089065
    {'hecke_orbit_code': 81064793426886848, 'n': 66, 'trace_an': 0}
  • id: 246089066
    {'hecke_orbit_code': 81064793426886848, 'n': 67, 'trace_an': -1169496}
  • id: 246089067
    {'hecke_orbit_code': 81064793426886848, 'n': 68, 'trace_an': 0}
  • id: 246089068
    {'hecke_orbit_code': 81064793426886848, 'n': 69, 'trace_an': 1174176}
  • id: 246089069
    {'hecke_orbit_code': 81064793426886848, 'n': 70, 'trace_an': 0}
  • id: 246089070
    {'hecke_orbit_code': 81064793426886848, 'n': 71, 'trace_an': -5716800}
  • id: 246089071
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  • id: 246089984
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  • id: 246089986
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  • id: 246089989
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  • id: 246089990
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  • id: 246089991
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  • id: 246089992
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  • id: 246089994
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  • id: 246089996
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  • id: 246089999
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