Embedded newform data - 7360.2.a.j.1.1

Formats: - HTML - YAML - JSON - 2025-06-15T21:28:01.313717

• 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
  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_largest	boolean
  is_maximal	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_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	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': 29440, 'analytic_conductor': 58.769895887662365, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [5, -1], [23, -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': [7360, 1, [1151, 5061, 4417, 6721], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 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': [[3, [1, 1]], [7, [2, 1]], [11, [0, 1]], [13, [1, 1]], [17, [4, 1]]], 'hecke_orbit': 10, 'hecke_orbit_code': 40532396679896256, '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_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '7360.2.a.j', 'level': 7360, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5, 23], 'level_radical': 230, 'minimal_twist': '920.2.a.d', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-q^{3}+q^{5}-2q^{7}-2q^{9}-q^{13}-q^{15}+\\cdots', 'related_objects': ['EllipticCurve/Q/7360/j'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '7360.2.a', 'trace_display': [0, -1, 1, -2], 'trace_hash': 1145102180502470092, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.012', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.991', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.018', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.931', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.693', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.010', 'prec': 17}, 'traces': [1, 0, -1, 0, 1, 0, -2, 0, -2, 0, 0, 0, -1, 0, -1, 0, -4, 0, 4, 0, 2, 0, 1, 0, 1, 0, 5, 0, 3, 0, -1, 0, 0, 0, -2, 0, 8, 0, 1, 0, -5, 0, 6, 0, -2, 0, 9, 0, -3, 0, 4, 0, -2, 0, 0, 0, -4, 0, 0, 0, 0, 0, 4, 0, -1, 0, -4, 0, -1, 0, 3, 0, 7, 0, -1, 0, 0, 0, 4, 0, 1, 0, -8, 0, -4, 0, -3, 0, -14, 0, 2, 0, 1, 0, 4, 0, -14, 0, 0, 0, -2, 0, 8, 0, 2, 0, -4, 0, -2, 0, -8, 0, -6, 0, 1, 0, 2, 0, 8, 0, -11, 0, 5, 0, 1, 0, 7, 0, -6, 0, -3, 0, -8, 0, 5, 0, -12, 0, -1, 0, -9, 0, 0, 0, 3, 0, 3, 0, -18, 0, -13, 0, 8, 0, -1, 0, 2, 0, 2, 0, -2, 0, -11, 0, 0, 0, 24, 0, -12, 0, -8, 0, -14, 0, -2, 0, 0, 0, -9, 0, 12, 0, 0, 0, 8, 0, 0, 0, -10, 0, -10, 0, -9, 0, 1, 0, 13, 0, -20, 0, 4, 0, -6, 0, -5, 0, -2, 0, 0, 0, 8, 0, -3, 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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

  
  {'an_normalized': [[1.0, 0.0], [0.0, 0.0], [-0.5773502691896257, 0.0], [0.0, 0.0], [0.4472135954999579, 0.0], [0.0, 0.0], [-0.7559289460184545, 0.0], [0.0, 0.0], [-0.6666666666666666, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.2773500981126146, 0.0], [0.0, 0.0], [-0.25819888974716115, 0.0], [0.0, 0.0], [-0.9701425001453319, 0.0], [0.0, 0.0], [0.9176629354822471, 0.0], [0.0, 0.0], [0.4364357804719848, 0.0], [0.0, 0.0], [0.20851441405707477, 0.0], [0.0, 0.0], [0.2, 0.0], [0.0, 0.0], [0.9622504486493763, 0.0], [0.0, 0.0], [0.5570860145311556, 0.0], [0.0, 0.0], [-0.1796053020267749, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.3380617018914066, 0.0], [0.0, 0.0], [1.3151918984428583, 0.0], [0.0, 0.0], [0.16012815380508713, 0.0], [0.0, 0.0], [-0.7808688094430303, 0.0], [0.0, 0.0], [0.914991421995628, 0.0], [0.0, 0.0], [-0.29814239699997197, 0.0], [0.0, 0.0], [1.312784923481051, 0.0], [0.0, 0.0], [-0.42857142857142855, 0.0], [0.0, 0.0], [0.5601120336112039, 0.0], [0.0, 0.0], 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• mf_newspaces •

  Column	Type
  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_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	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

  
  {'ALdims': [22, 22, 25, 19, 22, 22, 19, 25], 'Nk2': 29440, 'analytic_conductor': 58.769895887662365, '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': [7360, 1, [1151, 5061, 4417, 6721], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1129, 'dim': 176, 'eis_dim': 47, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 7, 11, 13, 17], 'hecke_orbit_code': 33561792, '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, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 6, 6], 'label': '7360.2.a', 'level': 7360, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5, 23], 'level_radical': 230, 'mf_dim': 1176, 'mf_new_dim': 176, 'num_forms': 74, 'plus_dim': 82, 'prim_orbit_index': 1, 'relative_dim': 176, 'sturm_bound': 2304, 'trace_bound': 11, 'trace_display': [0, 0, 0, 0], 'traces': [176, 0, 0, 0, 0, 0, 0, 0, 176, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, -32, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 208, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 32, 0, 0, 0, -80, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, -160, 0, 0, 0, -32, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 176, 0, 0, 0, 48, 0, 0, 0, -32, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, -64, 0, 0, 0, 160, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 208, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 176, 0, 0, 0, -64, 0, 0, 0, 64, 0, 0, 0, 128, 0, 0, 0, -64, 0, 0, 0, 64, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 224, 0, 0, 0, -64, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 336, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 32, 0, 0, 0, 48, 0, 0, 0, 32, 0, 0, 0, -32, 0, 0, 0, 64, 0, 0, 0, -128, 0, 0, 0, 96, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, -32, 0, 0, 0, 352, 0, 0, 0, 112, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, -32, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, -64, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 96, 0, 0, 0, 160, 0, 0, 0, -192, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 224, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 176, 0, 0, 0, 64, 0, 0, 0, -96, 0, 0, 0, 16, 0, 0, 0, 96, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 32, 0, 0, 0, 160, 0, 0, 0, -64, 0, 0, 0, -48, 0, 0, 0, -128, 0, 0, 0, -192, 0, 0, 0, 64, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 176, 0, 0, 0, -64, 0, 0, 0, 160, 0, 0, 0, -160, 0, 0, 0, -32, 0, 0, 0, 176, 0, 0, 0, 208, 0, 0, 0, -256, 0, 0, 0, -272, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, -64, 0, 0, 0, 160, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, -256, 0, 0, 0, -224, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, -416, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 176, 0, 0, 0, 272, 0, 0, 0, -224, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, -96, 0, 0, 0, -96, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 416, 0, 0, 0, -160, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 352, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 368, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 176, 0, 0, 0, -64, 0, 0, 0, -96, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 176, 0, 0, 0, -352, 0, 0, 0, -416, 0, 0, 0, -288, 0, 0, 0, -96, 0, 0, 0, -192, 0, 0, 0, -288, 0, 0, 0, -512, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 544, 0, 0, 0, -192, 0, 0, 0, -32, 0, 0, 0, -448, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, -64, 0, 0, 0, -160, 0, 0, 0, 32, 0, 0, 0, 32, 0, 0, 0, -80, 0, 0, 0, -320, 0, 0, 0, 368, 0, 0, 0, 112, 0, 0, 0, 64, 0, 0, 0, -160, 0, 0, 0, -80, 0, 0, 0, -96, 0, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, -448, 0, 0, 0, 16, 0, 0, 0, -160, 0, 0, 0, 224, 0, 0, 0, -320, 0, 0, 0, 576, 0, 0, 0, -96, 0, 0, 0, 176, 0, 0, 0, -128, 0, 0, 0, 496, 0, 0, 0, 32, 0, 0, 0, 192, 0, 0, 0, -352, 0, 0, 0, -32, 0, 0, 0, -64, 0, 0, 0, -144, 0, 0, 0, -64, 0, 0, 0, 352, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, -160, 0, 0, 0, 352, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -224, 0, 0, 0, -256, 0, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, -272, 0, 0, 0], 'weight': 2, '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: 46840962
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 40532396679896256, 'source_is_minimal': False, 'source_label': '7360.2.a.j.1.1', 'source_level': 7360, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40532396679896256, 'target_is_minimal': False, 'target_label': '7360.2.a.j.1.1', 'target_level': 7360, 'twist_class_label': '920.2.a.d.1.1', 'twist_class_level': 920, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 46840963
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 40532396679896256, 'source_is_minimal': False, 'source_label': '7360.2.a.j.1.1', 'source_level': 7360, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 90071992580971712, 'target_is_minimal': False, 'target_label': '7360.2.a.u.1.1', 'target_level': 7360, 'twist_class_label': '920.2.a.d.1.1', 'twist_class_level': 920, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 46840964
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 40532396679896256, 'source_is_minimal': False, 'source_label': '7360.2.a.j.1.1', 'source_level': 7360, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599660926768, 'target_is_minimal': False, 'target_label': '1840.2.a.b.1.1', 'target_level': 1840, 'twist_class_label': '920.2.a.d.1.1', 'twist_class_level': 920, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 46840965
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 40532396679896256, 'source_is_minimal': False, 'source_label': '7360.2.a.j.1.1', 'source_level': 7360, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510798915666840, 'target_is_minimal': True, 'target_label': '920.2.a.d.1.1', 'target_level': 920, 'twist_class_label': '920.2.a.d.1.1', 'twist_class_level': 920, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 46840966
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 40532396679896256, 'source_is_minimal': False, 'source_label': '7360.2.a.j.1.1', 'source_level': 7360, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 63050394816749656, 'target_is_minimal': False, 'target_label': '8280.2.a.o.1.1', 'target_level': 8280, 'twist_class_label': '920.2.a.d.1.1', 'twist_class_level': 920, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 46840967
    {'conductor': 40, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 40532396679896256, 'source_is_minimal': False, 'source_label': '7360.2.a.j.1.1', 'source_level': 7360, 'target_conrey_index': 4049, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 27021872675688952, 'target_is_minimal': False, 'target_label': '4600.2.e.g.4049.2', 'target_level': 4600, 'twist_class_label': '920.2.a.d.1.1', 'twist_class_level': 920, 'twisting_char_label': '40.13', 'twisting_conrey_index': 13, 'weight': 2}
  • id: 46840968
    {'conductor': 40, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 40532396679896256, 'source_is_minimal': False, 'source_label': '7360.2.a.j.1.1', 'source_level': 7360, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 112589990717826032, 'target_is_minimal': False, 'target_label': '9200.2.a.z.1.1', 'target_level': 9200, 'twist_class_label': '920.2.a.d.1.1', 'twist_class_level': 920, 'twisting_char_label': '40.19', 'twisting_conrey_index': 19, 'weight': 2}
  • id: 46840969
    {'conductor': 40, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 40532396679896256, 'source_is_minimal': False, 'source_label': '7360.2.a.j.1.1', 'source_level': 7360, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22517998170411512, 'target_is_minimal': False, 'target_label': '4600.2.a.f.1.1', 'target_level': 4600, 'twist_class_label': '920.2.a.d.1.1', 'twist_class_level': 920, 'twisting_char_label': '40.29', 'twisting_conrey_index': 29, 'weight': 2}
  • id: 46840970
    {'conductor': 40, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 40532396679896256, 'source_is_minimal': False, 'source_label': '7360.2.a.j.1.1', 'source_level': 7360, 'target_conrey_index': 4049, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021872675688952, 'target_is_minimal': False, 'target_label': '4600.2.e.g.4049.1', 'target_level': 4600, 'twist_class_label': '920.2.a.d.1.1', 'twist_class_level': 920, 'twisting_char_label': '40.37', 'twisting_conrey_index': 37, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 4452850
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 40532396679896256, 'p': 2}
  • id: 4452851
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 40532396679896256, 'p': 3}
  • id: 4452852
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 40532396679896256, 'p': 5}
  • id: 4452853
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 40532396679896256, 'p': 7}
  • id: 4452854
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 40532396679896256, 'p': 11}
  • id: 4452855
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 40532396679896256, 'p': 13}
  • id: 4452856
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 40532396679896256, 'p': 17}
  • id: 4452857
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 40532396679896256, 'p': 19}
  • id: 4452858
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 40532396679896256, 'p': 23}
  • id: 4452859
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 40532396679896256, 'p': 29}
  • id: 4452860
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 40532396679896256, 'p': 31}
  • id: 4452861
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 40532396679896256, 'p': 37}
  • id: 4452862
    {'charpoly_factorization': [[[5, 1], 1]], 'hecke_orbit_code': 40532396679896256, 'p': 41}
  • id: 4452863
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 40532396679896256, 'p': 43}
  • id: 4452864
    {'charpoly_factorization': [[[-9, 1], 1]], 'hecke_orbit_code': 40532396679896256, 'p': 47}
  • id: 4452865
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 40532396679896256, 'p': 53}
  • id: 4452866
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 40532396679896256, 'p': 59}
  • id: 4452867
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 40532396679896256, 'p': 61}
  • id: 4452868
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 40532396679896256, 'p': 67}
  • id: 4452869
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 40532396679896256, 'p': 71}
  • id: 4452870
    {'charpoly_factorization': [[[-7, 1], 1]], 'hecke_orbit_code': 40532396679896256, 'p': 73}
  • id: 4452871
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 40532396679896256, 'p': 79}
  • id: 4452872
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 40532396679896256, 'p': 83}
  • id: 4452873
    {'charpoly_factorization': [[[14, 1], 1]], 'hecke_orbit_code': 40532396679896256, 'p': 89}
  • id: 4452874
    {'charpoly_factorization': [[[14, 1], 1]], 'hecke_orbit_code': 40532396679896256, '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': 10, 'label': '7360.2.a.j', 'level': 7360, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 53147719
    {'hecke_orbit_code': 40532396679896256, 'n': 1, 'trace_an': 1}
  • id: 53147720
    {'hecke_orbit_code': 40532396679896256, 'n': 2, 'trace_an': 0}
  • id: 53147721
    {'hecke_orbit_code': 40532396679896256, 'n': 3, 'trace_an': -1}
  • id: 53147722
    {'hecke_orbit_code': 40532396679896256, 'n': 4, 'trace_an': 0}
  • id: 53147723
    {'hecke_orbit_code': 40532396679896256, 'n': 5, 'trace_an': 1}
  • id: 53147724
    {'hecke_orbit_code': 40532396679896256, 'n': 6, 'trace_an': 0}
  • id: 53147725
    {'hecke_orbit_code': 40532396679896256, 'n': 7, 'trace_an': -2}
  • id: 53147726
    {'hecke_orbit_code': 40532396679896256, 'n': 8, 'trace_an': 0}
  • id: 53147727
    {'hecke_orbit_code': 40532396679896256, 'n': 9, 'trace_an': -2}
  • id: 53147728
    {'hecke_orbit_code': 40532396679896256, 'n': 10, 'trace_an': 0}
  • id: 53147729
    {'hecke_orbit_code': 40532396679896256, 'n': 11, 'trace_an': 0}
  • id: 53147730
    {'hecke_orbit_code': 40532396679896256, 'n': 12, 'trace_an': 0}
  • id: 53147731
    {'hecke_orbit_code': 40532396679896256, 'n': 13, 'trace_an': -1}
  • id: 53147732
    {'hecke_orbit_code': 40532396679896256, 'n': 14, 'trace_an': 0}
  • id: 53147733
    {'hecke_orbit_code': 40532396679896256, 'n': 15, 'trace_an': -1}
  • id: 53147734
    {'hecke_orbit_code': 40532396679896256, 'n': 16, 'trace_an': 0}
  • id: 53147735
    {'hecke_orbit_code': 40532396679896256, 'n': 17, 'trace_an': -4}
  • id: 53147736
    {'hecke_orbit_code': 40532396679896256, 'n': 18, 'trace_an': 0}
  • id: 53147737
    {'hecke_orbit_code': 40532396679896256, 'n': 19, 'trace_an': 4}
  • id: 53147738
    {'hecke_orbit_code': 40532396679896256, 'n': 20, 'trace_an': 0}
  • id: 53147739
    {'hecke_orbit_code': 40532396679896256, 'n': 21, 'trace_an': 2}
  • id: 53147740
    {'hecke_orbit_code': 40532396679896256, 'n': 22, 'trace_an': 0}
  • id: 53147741
    {'hecke_orbit_code': 40532396679896256, 'n': 23, 'trace_an': 1}
  • id: 53147742
    {'hecke_orbit_code': 40532396679896256, 'n': 24, 'trace_an': 0}
  • id: 53147743
    {'hecke_orbit_code': 40532396679896256, 'n': 25, 'trace_an': 1}
  • id: 53147744
    {'hecke_orbit_code': 40532396679896256, 'n': 26, 'trace_an': 0}
  • id: 53147745
    {'hecke_orbit_code': 40532396679896256, 'n': 27, 'trace_an': 5}
  • id: 53147746
    {'hecke_orbit_code': 40532396679896256, 'n': 28, 'trace_an': 0}
  • id: 53147747
    {'hecke_orbit_code': 40532396679896256, 'n': 29, 'trace_an': 3}
  • id: 53147748
    {'hecke_orbit_code': 40532396679896256, 'n': 30, 'trace_an': 0}
  • id: 53147749
    {'hecke_orbit_code': 40532396679896256, 'n': 31, 'trace_an': -1}
  • id: 53147750
    {'hecke_orbit_code': 40532396679896256, 'n': 32, 'trace_an': 0}
  • id: 53147751
    {'hecke_orbit_code': 40532396679896256, 'n': 33, 'trace_an': 0}
  • id: 53147752
    {'hecke_orbit_code': 40532396679896256, 'n': 34, 'trace_an': 0}
  • id: 53147753
    {'hecke_orbit_code': 40532396679896256, 'n': 35, 'trace_an': -2}
  • id: 53147754
    {'hecke_orbit_code': 40532396679896256, 'n': 36, 'trace_an': 0}
  • id: 53147755
    {'hecke_orbit_code': 40532396679896256, 'n': 37, 'trace_an': 8}
  • id: 53147756
    {'hecke_orbit_code': 40532396679896256, 'n': 38, 'trace_an': 0}
  • id: 53147757
    {'hecke_orbit_code': 40532396679896256, 'n': 39, 'trace_an': 1}
  • id: 53147758
    {'hecke_orbit_code': 40532396679896256, 'n': 40, 'trace_an': 0}
  • id: 53147759
    {'hecke_orbit_code': 40532396679896256, 'n': 41, 'trace_an': -5}
  • id: 53147760
    {'hecke_orbit_code': 40532396679896256, 'n': 42, 'trace_an': 0}
  • id: 53147761
    {'hecke_orbit_code': 40532396679896256, 'n': 43, 'trace_an': 6}
  • id: 53147762
    {'hecke_orbit_code': 40532396679896256, 'n': 44, 'trace_an': 0}
  • id: 53147763
    {'hecke_orbit_code': 40532396679896256, 'n': 45, 'trace_an': -2}
  • id: 53147764
    {'hecke_orbit_code': 40532396679896256, 'n': 46, 'trace_an': 0}
  • id: 53147765
    {'hecke_orbit_code': 40532396679896256, 'n': 47, 'trace_an': 9}
  • id: 53147766
    {'hecke_orbit_code': 40532396679896256, 'n': 48, 'trace_an': 0}
  • id: 53147767
    {'hecke_orbit_code': 40532396679896256, 'n': 49, 'trace_an': -3}
  • id: 53147768
    {'hecke_orbit_code': 40532396679896256, 'n': 50, 'trace_an': 0}
  • id: 53147769
    {'hecke_orbit_code': 40532396679896256, 'n': 51, 'trace_an': 4}
  • id: 53147770
    {'hecke_orbit_code': 40532396679896256, 'n': 52, 'trace_an': 0}
  • id: 53147771
    {'hecke_orbit_code': 40532396679896256, 'n': 53, 'trace_an': -2}
  • id: 53147772
    {'hecke_orbit_code': 40532396679896256, 'n': 54, 'trace_an': 0}
  • id: 53147773
    {'hecke_orbit_code': 40532396679896256, 'n': 55, 'trace_an': 0}
  • id: 53147774
    {'hecke_orbit_code': 40532396679896256, 'n': 56, 'trace_an': 0}
  • id: 53147775
    {'hecke_orbit_code': 40532396679896256, 'n': 57, 'trace_an': -4}
  • id: 53147776
    {'hecke_orbit_code': 40532396679896256, 'n': 58, 'trace_an': 0}
  • id: 53147777
    {'hecke_orbit_code': 40532396679896256, 'n': 59, 'trace_an': 0}
  • id: 53147778
    {'hecke_orbit_code': 40532396679896256, 'n': 60, 'trace_an': 0}
  • id: 53147779
    {'hecke_orbit_code': 40532396679896256, 'n': 61, 'trace_an': 0}
  • id: 53147780
    {'hecke_orbit_code': 40532396679896256, 'n': 62, 'trace_an': 0}
  • id: 53147781
    {'hecke_orbit_code': 40532396679896256, 'n': 63, 'trace_an': 4}
  • id: 53147782
    {'hecke_orbit_code': 40532396679896256, 'n': 64, 'trace_an': 0}
  • id: 53147783
    {'hecke_orbit_code': 40532396679896256, 'n': 65, 'trace_an': -1}
  • id: 53147784
    {'hecke_orbit_code': 40532396679896256, 'n': 66, 'trace_an': 0}
  • id: 53147785
    {'hecke_orbit_code': 40532396679896256, 'n': 67, 'trace_an': -4}
  • id: 53147786
    {'hecke_orbit_code': 40532396679896256, 'n': 68, 'trace_an': 0}
  • id: 53147787
    {'hecke_orbit_code': 40532396679896256, 'n': 69, 'trace_an': -1}
  • id: 53147788
    {'hecke_orbit_code': 40532396679896256, 'n': 70, 'trace_an': 0}
  • id: 53147789
    {'hecke_orbit_code': 40532396679896256, 'n': 71, 'trace_an': 3}
  • id: 53147790
    {'hecke_orbit_code': 40532396679896256, 'n': 72, 'trace_an': 0}
  • id: 53147791
    {'hecke_orbit_code': 40532396679896256, 'n': 73, 'trace_an': 7}
  • id: 53147792
    {'hecke_orbit_code': 40532396679896256, 'n': 74, 'trace_an': 0}
  • id: 53147793
    {'hecke_orbit_code': 40532396679896256, 'n': 75, 'trace_an': -1}
  • id: 53147794
    {'hecke_orbit_code': 40532396679896256, 'n': 76, 'trace_an': 0}
  • id: 53147795
    {'hecke_orbit_code': 40532396679896256, 'n': 77, 'trace_an': 0}
  • id: 53147796
    {'hecke_orbit_code': 40532396679896256, 'n': 78, 'trace_an': 0}
  • id: 53147797
    {'hecke_orbit_code': 40532396679896256, 'n': 79, 'trace_an': 4}
  • id: 53147798
    {'hecke_orbit_code': 40532396679896256, 'n': 80, 'trace_an': 0}
  • id: 53147799
    {'hecke_orbit_code': 40532396679896256, 'n': 81, 'trace_an': 1}
  • id: 53147800
    {'hecke_orbit_code': 40532396679896256, 'n': 82, 'trace_an': 0}
  • id: 53147801
    {'hecke_orbit_code': 40532396679896256, 'n': 83, 'trace_an': -8}
  • id: 53147802
    {'hecke_orbit_code': 40532396679896256, 'n': 84, 'trace_an': 0}
  • id: 53147803
    {'hecke_orbit_code': 40532396679896256, 'n': 85, 'trace_an': -4}
  • id: 53147804
    {'hecke_orbit_code': 40532396679896256, 'n': 86, 'trace_an': 0}
  • id: 53147805
    {'hecke_orbit_code': 40532396679896256, 'n': 87, 'trace_an': -3}
  • id: 53147806
    {'hecke_orbit_code': 40532396679896256, 'n': 88, 'trace_an': 0}
  • id: 53147807
    {'hecke_orbit_code': 40532396679896256, 'n': 89, 'trace_an': -14}
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  • id: 53147905
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  • id: 53147910
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  • id: 53147912
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  • id: 53147913
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  • id: 53147914
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  • id: 53147915
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  • id: 53147916
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  • id: 53147917
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  • id: 53147918
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  • id: 53147919
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  • id: 53147920
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  • id: 53147921
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  • id: 53147922
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  • id: 53147923
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  • id: 53147924
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  • id: 53147925
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  • id: 53147926
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  • id: 53147927
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  • id: 53147928
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  • id: 53147929
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  • id: 53147930
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  • id: 53147931
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  • id: 53147933
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  • id: 53147935
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  • id: 53147936
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  • id: 53147937
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  • id: 53147938
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  • id: 53147939
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  • id: 53147940
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  • id: 53147945
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  • id: 53147946
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  • id: 53147947
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  • id: 53147961
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  • id: 53147963
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  • id: 53147964
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