Embedded newform data - 1800.4.a.o.1.1

Formats: - HTML - YAML - JSON - 2024-04-23T14:59:51.475730

• 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': 28800, 'analytic_conductor': 106.2034380103331, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [3, -1], [5, -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': [1800, 1, [1351, 901, 1001, 577], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [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': [[7, [4, 1]], [11, [-28, 1]], [17, [-108, 1]]], 'hecke_orbit': 15, 'hecke_orbit_code': 63050394850297608, 'hecke_ring_generator_nbound': 1, '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': '1800.4.a.o', 'level': 1800, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5], 'level_radical': 30, 'minimal_twist': '120.4.f.c', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-4q^{7}+28q^{11}+2^{4}q^{13}+108q^{17}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1800.4.a', 'trace_display': [0, 0, 0, -4], 'trace_hash': 1357386461084056084, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.974', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.927', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.779', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.003', 'prec': 17}, 'traces': [1, 0, 0, 0, 0, 0, -4, 0, 0, 0, 28, 0, 16, 0, 0, 0, 108, 0, 32, 0, 0, 0, -28, 0, 0, 0, 0, 0, 238, 0, -180, 0, 0, 0, 0, 0, 40, 0, 0, 0, -422, 0, -276, 0, 0, 0, 60, 0, -327, 0, 0, 0, 220, 0, 0, 0, 0, 0, 804, 0, -358, 0, 0, 0, 0, 0, 884, 0, 0, 0, 64, 0, 152, 0, 0, 0, -112, 0, -932, 0, 0, 0, -1292, 0, 0, 0, 0, 0, 1146, 0, -64, 0, 0, 0, 0, 0, -824, 0, 0, 0, 1290, 0, 1604, 0, 0, 0, 892, 0, 966, 0, 0, 0, 1124, 0, 0, 0, 0, 0, -432, 0, -547, 0, 0, 0, 0, 0, 1884, 0, 0, 0, 588, 0, -128, 0, 0, 0, 1060, 0, -2864, 0, 0, 0, 448, 0, 0, 0, 0, 0, -342, 0, 1636, 0, 0, 0, 0, 0, 2072, 0, 0, 0, 112, 0, -772, 0, 0, 0, -1044, 0, -1941, 0, 0, 0, 4404, 0, 0, 0, 0, 0, -3452, 0, 526, 0, 0, 0, 0, 0, 3024, 0, 0, 0, -72, 0, -208, 0, 0, 0, 372, 0, 4348, 0, 0, 0, -952, 0, 0, 0, 0, 0, 896, 0, -416, 0, 0, 0, 0, 0, 720, 0, 0, 0, 1728, 0, 5748, 0, 0, 0, 1148, 0, 3234, 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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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-0.2293928583069258, -0.205749036700109, -0.14688661758504648], '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': 0.0, 'hecke_orbit': 15, 'hecke_orbit_code': 63050394850297608, 'label': '1800.4.a.o.1.1', 'level': 1800, '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], [3, -1], [5, 1]], 9, 8], [[[2, -1], [3, -1], [5, -1]], 11, 8], [[[2, 1], [3, -1], [5, -1]], 12, 9], [[[2, -1], [3, 1], [5, 1]], 7, 5], [[[2, -1], [3, 1], [5, -1]], 7, 2], [[[2, 1], [3, 1], [5, -1]], 7, 2], [[[2, 1], [3, 1], [5, 1]], 7, 5], [[[2, -1], [3, -1], [5, 1]], 11, 10]], 'ALdims': [7, 7, 9, 12, 7, 7, 11, 11], 'Nk2': 28800, 'analytic_conductor': 106.2034380103331, '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': [1800, 1, [1351, 901, 1001, 577], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1032, 'dim': 71, 'eis_dim': 96, 'eis_new_dim': 0, 'hecke_cutter_primes': [7, 11, 17], 'hecke_orbit_code': 67110664, '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, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 4, 4], 'label': '1800.4.a', 'level': 1800, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5], 'level_radical': 30, 'mf_dim': 1128, 'mf_new_dim': 71, 'num_forms': 49, 'plus_dim': 37, 'prim_orbit_index': 1, 'relative_dim': 71, 'sturm_bound': 1440, 'trace_bound': 17, 'trace_display': [0, 0, 0, -12], 'traces': [71, 0, 0, 0, 0, 0, -12, 0, 0, 0, -22, 0, -2, 0, 0, 0, -46, 0, 46, 0, 0, 0, 28, 0, 0, 0, 0, 0, 50, 0, -100, 0, 0, 0, 0, 0, -178, 0, 0, 0, -16, 0, -400, 0, 0, 0, 52, 0, 3527, 0, 0, 0, -594, 0, 0, 0, 0, 0, -252, 0, -1446, 0, 0, 0, 0, 0, -304, 0, 0, 0, -136, 0, 634, 0, 0, 0, 32, 0, 1172, 0, 0, 0, 1040, 0, 0, 0, 0, 0, -2772, 0, 2768, 0, 0, 0, 0, 0, -862, 0, 0, 0, 126, 0, 204, 0, 0, 0, -336, 0, -1046, 0, 0, 0, -2742, 0, 0, 0, 0, 0, 2172, 0, 6337, 0, 0, 0, 0, 0, 1532, 0, 0, 0, 900, 0, 4464, 0, 0, 0, 2338, 0, -3362, 0, 0, 0, 7312, 0, 0, 0, 0, 0, -2286, 0, -60, 0, 0, 0, 0, 0, 1974, 0, 0, 0, 6584, 0, -2968, 0, 0, 0, -3084, 0, 11985, 0, 0, 0, -8266, 0, 0, 0, 0, 0, 4706, 0, 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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: 47836414
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 63050394850297608, 'source_is_minimal': False, 'source_label': '1800.4.a.o.1.1', 'source_level': 1800, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 63050394850297608, 'target_is_minimal': False, 'target_label': '1800.4.a.o.1.1', 'target_level': 1800, 'twist_class_label': '120.4.f.c.49.1', 'twist_class_level': 120, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 47836415
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 63050394850297608, 'source_is_minimal': False, 'source_label': '1800.4.a.o.1.1', 'source_level': 1800, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 45035996340814424, 'target_is_minimal': False, 'target_label': '600.4.a.k.1.1', 'target_level': 600, 'twist_class_label': '120.4.f.c.49.1', 'twist_class_level': 120, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 47836416
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 63050394850297608, 'source_is_minimal': False, 'source_label': '1800.4.a.o.1.1', 'source_level': 1800, 'target_conrey_index': 289, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 343664492904, 'target_is_minimal': False, 'target_label': '360.4.f.a.289.2', 'target_level': 360, 'twist_class_label': '120.4.f.c.49.1', 'twist_class_level': 120, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 47836417
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 63050394850297608, 'source_is_minimal': False, 'source_label': '1800.4.a.o.1.1', 'source_level': 1800, 'target_conrey_index': 289, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 343664492904, 'target_is_minimal': False, 'target_label': '360.4.f.a.289.1', 'target_level': 360, 'twist_class_label': '120.4.f.c.49.1', 'twist_class_level': 120, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 47836418
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 63050394850297608, 'source_is_minimal': False, 'source_label': '1800.4.a.o.1.1', 'source_level': 1800, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 90071992614520584, 'target_is_minimal': False, 'target_label': '1800.4.a.u.1.1', 'target_level': 1800, 'twist_class_label': '120.4.f.c.49.1', 'twist_class_level': 120, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 4}
  • id: 47836419
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 63050394850297608, 'source_is_minimal': False, 'source_label': '1800.4.a.o.1.1', 'source_level': 1800, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 49539595968185520, 'target_is_minimal': False, 'target_label': '1200.4.a.l.1.1', 'target_level': 1200, 'twist_class_label': '120.4.f.c.49.1', 'twist_class_level': 120, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 4}
  • id: 47836420
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 63050394850297608, 'source_is_minimal': False, 'source_label': '1800.4.a.o.1.1', 'source_level': 1800, 'target_conrey_index': 49, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007542919233656, 'target_is_minimal': True, 'target_label': '120.4.f.c.49.1', 'target_level': 120, 'twist_class_label': '120.4.f.c.49.1', 'twist_class_level': 120, 'twisting_char_label': '15.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 47836421
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 63050394850297608, 'source_is_minimal': False, 'source_label': '1800.4.a.o.1.1', 'source_level': 1800, 'target_conrey_index': 49, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007542919233656, 'target_is_minimal': True, 'target_label': '120.4.f.c.49.2', 'target_level': 120, 'twist_class_label': '120.4.f.c.49.1', 'twist_class_level': 120, 'twisting_char_label': '15.8', 'twisting_conrey_index': 8, 'weight': 4}
  • id: 47836422
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 63050394850297608, 'source_is_minimal': False, 'source_label': '1800.4.a.o.1.1', 'source_level': 1800, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22517998203961944, 'target_is_minimal': False, 'target_label': '600.4.a.f.1.1', 'target_level': 600, 'twist_class_label': '120.4.f.c.49.1', 'twist_class_level': 120, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 4}
  • id: 47836423
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 63050394850297608, 'source_is_minimal': False, 'source_label': '1800.4.a.o.1.1', 'source_level': 1800, 'target_conrey_index': 289, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503943291863760, 'target_is_minimal': False, 'target_label': '720.4.f.b.289.1', 'target_level': 720, 'twist_class_label': '120.4.f.c.49.1', 'twist_class_level': 120, 'twisting_char_label': '20.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 47836424
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 63050394850297608, 'source_is_minimal': False, 'source_label': '1800.4.a.o.1.1', 'source_level': 1800, 'target_conrey_index': 289, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4503943291863760, 'target_is_minimal': False, 'target_label': '720.4.f.b.289.2', 'target_level': 720, 'twist_class_label': '120.4.f.c.49.1', 'twist_class_level': 120, 'twisting_char_label': '20.7', 'twisting_conrey_index': 7, 'weight': 4}
  • id: 47836425
    {'conductor': 60, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 63050394850297608, 'source_is_minimal': False, 'source_label': '1800.4.a.o.1.1', 'source_level': 1800, 'target_conrey_index': 49, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014742173974768, 'target_is_minimal': False, 'target_label': '240.4.f.e.49.1', 'target_level': 240, 'twist_class_label': '120.4.f.c.49.1', 'twist_class_level': 120, 'twisting_char_label': '60.23', 'twisting_conrey_index': 23, 'weight': 4}
  • id: 47836426
    {'conductor': 60, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 63050394850297608, 'source_is_minimal': False, 'source_label': '1800.4.a.o.1.1', 'source_level': 1800, 'target_conrey_index': 49, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 18014742173974768, 'target_is_minimal': False, 'target_label': '240.4.f.e.49.2', 'target_level': 240, 'twist_class_label': '120.4.f.c.49.1', 'twist_class_level': 120, 'twisting_char_label': '60.47', 'twisting_conrey_index': 47, 'weight': 4}
  • id: 47836427
    {'conductor': 60, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 63050394850297608, 'source_is_minimal': False, 'source_label': '1800.4.a.o.1.1', 'source_level': 1800, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 112589990751372464, 'target_is_minimal': False, 'target_label': '1200.4.a.z.1.1', 'target_level': 1200, 'twist_class_label': '120.4.f.c.49.1', 'twist_class_level': 120, 'twisting_char_label': '60.59', 'twisting_conrey_index': 59, 'weight': 4}
  • id: 47836428
    {'conductor': 120, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 63050394850297608, 'source_is_minimal': False, 'source_label': '1800.4.a.o.1.1', 'source_level': 1800, 'target_conrey_index': 769, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503943291864000, 'target_is_minimal': False, 'target_label': '960.4.f.b.769.1', 'target_level': 960, 'twist_class_label': '120.4.f.c.49.1', 'twist_class_level': 120, 'twisting_char_label': '120.53', 'twisting_conrey_index': 53, 'weight': 4}
  • id: 47836429
    {'conductor': 120, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 63050394850297608, 'source_is_minimal': False, 'source_label': '1800.4.a.o.1.1', 'source_level': 1800, 'target_conrey_index': 769, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4503943291864000, 'target_is_minimal': False, 'target_label': '960.4.f.b.769.2', 'target_level': 960, 'twist_class_label': '120.4.f.c.49.1', 'twist_class_level': 120, 'twisting_char_label': '120.77', 'twisting_conrey_index': 77, 'weight': 4}
  • id: 47836430
    {'conductor': 120, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 63050394850297608, 'source_is_minimal': False, 'source_label': '1800.4.a.o.1.1', 'source_level': 1800, 'target_conrey_index': 769, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 343664493504, 'target_is_minimal': False, 'target_label': '960.4.f.a.769.2', 'target_level': 960, 'twist_class_label': '120.4.f.c.49.1', 'twist_class_level': 120, 'twisting_char_label': '120.83', 'twisting_conrey_index': 83, 'weight': 4}
  • id: 47836431
    {'conductor': 120, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 63050394850297608, 'source_is_minimal': False, 'source_label': '1800.4.a.o.1.1', 'source_level': 1800, 'target_conrey_index': 769, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 343664493504, 'target_is_minimal': False, 'target_label': '960.4.f.a.769.1', 'target_level': 960, 'twist_class_label': '120.4.f.c.49.1', 'twist_class_level': 120, 'twisting_char_label': '120.107', 'twisting_conrey_index': 107, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2219225
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 63050394850297608, 'p': 2}
  • id: 2219226
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 63050394850297608, 'p': 3}
  • id: 2219227
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 63050394850297608, 'p': 5}
  • id: 2219228
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 63050394850297608, 'p': 7}
  • id: 2219229
    {'charpoly_factorization': [[[-28, 1], 1]], 'hecke_orbit_code': 63050394850297608, 'p': 11}
  • id: 2219230
    {'charpoly_factorization': [[[-16, 1], 1]], 'hecke_orbit_code': 63050394850297608, 'p': 13}
  • id: 2219231
    {'charpoly_factorization': [[[-108, 1], 1]], 'hecke_orbit_code': 63050394850297608, 'p': 17}
  • id: 2219232
    {'charpoly_factorization': [[[-32, 1], 1]], 'hecke_orbit_code': 63050394850297608, 'p': 19}
  • id: 2219233
    {'charpoly_factorization': [[[28, 1], 1]], 'hecke_orbit_code': 63050394850297608, 'p': 23}
  • id: 2219234
    {'charpoly_factorization': [[[-238, 1], 1]], 'hecke_orbit_code': 63050394850297608, 'p': 29}
  • id: 2219235
    {'charpoly_factorization': [[[180, 1], 1]], 'hecke_orbit_code': 63050394850297608, 'p': 31}
  • id: 2219236
    {'charpoly_factorization': [[[-40, 1], 1]], 'hecke_orbit_code': 63050394850297608, 'p': 37}
  • id: 2219237
    {'charpoly_factorization': [[[422, 1], 1]], 'hecke_orbit_code': 63050394850297608, 'p': 41}
  • id: 2219238
    {'charpoly_factorization': [[[276, 1], 1]], 'hecke_orbit_code': 63050394850297608, 'p': 43}
  • id: 2219239
    {'charpoly_factorization': [[[-60, 1], 1]], 'hecke_orbit_code': 63050394850297608, 'p': 47}
  • id: 2219240
    {'charpoly_factorization': [[[-220, 1], 1]], 'hecke_orbit_code': 63050394850297608, 'p': 53}
  • id: 2219241
    {'charpoly_factorization': [[[-804, 1], 1]], 'hecke_orbit_code': 63050394850297608, 'p': 59}
  • id: 2219242
    {'charpoly_factorization': [[[358, 1], 1]], 'hecke_orbit_code': 63050394850297608, 'p': 61}
  • id: 2219243
    {'charpoly_factorization': [[[-884, 1], 1]], 'hecke_orbit_code': 63050394850297608, 'p': 67}
  • id: 2219244
    {'charpoly_factorization': [[[-64, 1], 1]], 'hecke_orbit_code': 63050394850297608, 'p': 71}
  • id: 2219245
    {'charpoly_factorization': [[[-152, 1], 1]], 'hecke_orbit_code': 63050394850297608, 'p': 73}
  • id: 2219246
    {'charpoly_factorization': [[[932, 1], 1]], 'hecke_orbit_code': 63050394850297608, 'p': 79}
  • id: 2219247
    {'charpoly_factorization': [[[1292, 1], 1]], 'hecke_orbit_code': 63050394850297608, 'p': 83}
  • id: 2219248
    {'charpoly_factorization': [[[-1146, 1], 1]], 'hecke_orbit_code': 63050394850297608, 'p': 89}
  • id: 2219249
    {'charpoly_factorization': [[[824, 1], 1]], 'hecke_orbit_code': 63050394850297608, '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': 15, 'label': '1800.4.a.o', 'level': 1800, 'portrait': 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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 233078000
    {'hecke_orbit_code': 63050394850297608, 'n': 1, 'trace_an': 1}
  • id: 233078001
    {'hecke_orbit_code': 63050394850297608, 'n': 2, 'trace_an': 0}
  • id: 233078002
    {'hecke_orbit_code': 63050394850297608, 'n': 3, 'trace_an': 0}
  • id: 233078003
    {'hecke_orbit_code': 63050394850297608, 'n': 4, 'trace_an': 0}
  • id: 233078004
    {'hecke_orbit_code': 63050394850297608, 'n': 5, 'trace_an': 0}
  • id: 233078005
    {'hecke_orbit_code': 63050394850297608, 'n': 6, 'trace_an': 0}
  • id: 233078006
    {'hecke_orbit_code': 63050394850297608, 'n': 7, 'trace_an': -4}
  • id: 233078007
    {'hecke_orbit_code': 63050394850297608, 'n': 8, 'trace_an': 0}
  • id: 233078008
    {'hecke_orbit_code': 63050394850297608, 'n': 9, 'trace_an': 0}
  • id: 233078009
    {'hecke_orbit_code': 63050394850297608, 'n': 10, 'trace_an': 0}
  • id: 233078010
    {'hecke_orbit_code': 63050394850297608, 'n': 11, 'trace_an': 28}
  • id: 233078011
    {'hecke_orbit_code': 63050394850297608, 'n': 12, 'trace_an': 0}
  • id: 233078012
    {'hecke_orbit_code': 63050394850297608, 'n': 13, 'trace_an': 16}
  • id: 233078013
    {'hecke_orbit_code': 63050394850297608, 'n': 14, 'trace_an': 0}
  • id: 233078014
    {'hecke_orbit_code': 63050394850297608, 'n': 15, 'trace_an': 0}
  • id: 233078015
    {'hecke_orbit_code': 63050394850297608, 'n': 16, 'trace_an': 0}
  • id: 233078016
    {'hecke_orbit_code': 63050394850297608, 'n': 17, 'trace_an': 108}
  • id: 233078017
    {'hecke_orbit_code': 63050394850297608, 'n': 18, 'trace_an': 0}
  • id: 233078018
    {'hecke_orbit_code': 63050394850297608, 'n': 19, 'trace_an': 32}
  • id: 233078019
    {'hecke_orbit_code': 63050394850297608, 'n': 20, 'trace_an': 0}
  • id: 233078020
    {'hecke_orbit_code': 63050394850297608, 'n': 21, 'trace_an': 0}
  • id: 233078021
    {'hecke_orbit_code': 63050394850297608, 'n': 22, 'trace_an': 0}
  • id: 233078022
    {'hecke_orbit_code': 63050394850297608, 'n': 23, 'trace_an': -28}
  • id: 233078023
    {'hecke_orbit_code': 63050394850297608, 'n': 24, 'trace_an': 0}
  • id: 233078024
    {'hecke_orbit_code': 63050394850297608, 'n': 25, 'trace_an': 0}
  • id: 233078025
    {'hecke_orbit_code': 63050394850297608, 'n': 26, 'trace_an': 0}
  • id: 233078026
    {'hecke_orbit_code': 63050394850297608, 'n': 27, 'trace_an': 0}
  • id: 233078027
    {'hecke_orbit_code': 63050394850297608, 'n': 28, 'trace_an': 0}
  • id: 233078028
    {'hecke_orbit_code': 63050394850297608, 'n': 29, 'trace_an': 238}
  • id: 233078029
    {'hecke_orbit_code': 63050394850297608, 'n': 30, 'trace_an': 0}
  • id: 233078030
    {'hecke_orbit_code': 63050394850297608, 'n': 31, 'trace_an': -180}
  • id: 233078031
    {'hecke_orbit_code': 63050394850297608, 'n': 32, 'trace_an': 0}
  • id: 233078032
    {'hecke_orbit_code': 63050394850297608, 'n': 33, 'trace_an': 0}
  • id: 233078033
    {'hecke_orbit_code': 63050394850297608, 'n': 34, 'trace_an': 0}
  • id: 233078034
    {'hecke_orbit_code': 63050394850297608, 'n': 35, 'trace_an': 0}
  • id: 233078035
    {'hecke_orbit_code': 63050394850297608, 'n': 36, 'trace_an': 0}
  • id: 233078036
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  • id: 233078136
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  • id: 233078138
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  • id: 233078140
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  • id: 233078142
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