Newform data - 7406.2.a.c

Formats: - HTML - YAML - JSON - 2026-09-23T05:42:26.210043

• 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': 29624, 'analytic_conductor': 59.13720773696025, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [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': [7406, 1, [2117, 3179], [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, [0, 1]], [5, [0, 1]], [11, [4, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007199288302830, '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': True, 'label': '7406.2.a.c', 'level': 7406, '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, 7, 23], 'level_radical': 322, 'minimal_twist': '7406.2.a.b', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-q^{2}+q^{4}+q^{7}-q^{8}-3q^{9}-4q^{11}+\\cdots', 'related_objects': ['EllipticCurve/Q/7406/c'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '7406.2.a', 'trace_display': [-1, 0, 0, 1], 'trace_hash': 566582709187324581, 'trace_moments': [0, {'__RealLiteral__': 0, 'data': '1.011', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '1.961', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '4.787', 'prec': 14}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.021', 'prec': 7}, 'traces': [1, -1, 0, 1, 0, 0, 1, -1, -3, 0, -4, 0, -2, -1, 0, 1, 4, 3, 4, 0, 0, 4, 0, 0, -5, 2, 0, 1, 2, 0, 4, -1, 0, -4, 0, -3, 4, -4, 0, 0, -6, 0, -4, -4, 0, 0, 4, 0, 1, 5, 0, -2, 12, 0, 0, -1, 0, -2, 8, 0, 0, -4, -3, 1, 0, 0, 4, 4, 0, 0, 8, 3, -10, -4, 0, 4, -4, 0, -8, 0, 9, 6, -12, 0, 0, 4, 0, 4, -4, 0, -2, 0, 0, -4, 0, 0, 12, -1, 12, -5, 6, 0, -16, 2, 0, -12, -12, 0, -4, 0, 0, 1, 16, 0, 0, 2, 6, -8, 4, 0, 5, 0, 0, 4, 0, 3, -8, -1, 0, 0, 0, 0, 4, -4, 0, -4, 0, 0, -8, 0, 0, -8, 8, -3, 0, 10, 0, 4, -20, 0, -8, -4, -12, 4, 0, 0, -24, 8, 0, 0, 0, -9, 12, -6, 0, 12, -12, 0, -9, 0, -12, -4, -14, 0, -5, -4, 0, 4, -12, 0, -8, 2, 0, 0, 0, 0, -16, 4, 0, 0, 8, 0, -2, -12, 0, 1, -6, -12, -24, 5, 0, -6, 2, 0, 0, 16, 0, -2, -16, 0, 12, 12, 0, 12, 0, 0, 4, 4, 0, 0, -8, 0, -12, -1, 15, -16, -20, 0, 8, 0, 0, -2, 26, -6, 0, 8, 0, -4, 0, 0, -28, -5, 0, 0, 0, 0, -8, -4, 0, 0, 20, -3, 0, 8, 0, 1, 18, 0, 4, 0, -6, 0, 0, 0, 0, -4, 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0, -36, 48, -12, -32, 5, 0, -20, 48, 0, 0, -32, 0, -20, 60, 0, 0, 68, 0, 4, 0, 0, -80, 8, 0, 0, -2, 0, -42, -42, -60, -4, -50, 0, 16, 0, 0, 40, -16, 0, 0, 64, 0, -28, 0, 0, 48, -4, 66, 8, 0, 0, 80, 44, 0, 25, 0, -24, 56, -4, 0, 12, 0, 0, 4, 0, 36, -24, 8, 0, 0, 16, 0, 36, -32, 0, 24, 24, 0, -48, -30, 0, -3, 8, -24, 0, 44, 0, -80, 8, 0, -2, -32, 0, 16, 0, 0, 24, 24, 0, 0, -16, 12, -2, 36, 0, -80, 8, 0, 14, 0, -24, -34, -56, 0, 0, 12, 0, -104, -48, 0, 20, -32, 0, 8, 0, 0, -4, -48, 24, 80, 0, 0, -26, -24, 0, -8, -48, 18, -16, 0, 0, 48, -4, 0, 0, 24, -9, 84, -34, 0, -32, 12, 0, 0, -10, 3, -54, 0, 0, 0, 48, 0, 12, 60, 0, -4, 14, 0, -60, 0, 0, -38, 16, 0, 0, 24, 0, 0, -6, 0, 12, 32, 30, 0, 0, 0, -4, -56, 0, 0, -12, 96, 28, -4, 0, -32, -4, 0, -32, 0, 0, 72, -4, 0, 60, 112, 0, -28, 0, 0, 12, 66, 0, 36, 0, 0, -24, -36, 12, 0, 16, 0, 0, -96, 0, -32, -12, 0, -8, 60, 0, -54, -32, 0, 0, -16, -60, -44, 0, 0, 32, 24, 0, -56, 0, 0, -14, 26, 0, 0, -8, 0, -32, -60, 0, -40, 2, 0, -9, 0, 0, -16, -8, 12, 0, -24, 0, 32, 0, 0, 12, 32, -24, 0, 0, 0, 2, 12, 0, 20, -8, 0, 16, 76, 0, -68, 12, 0, -64, 0, -12, 0, 21, 0, 0, -42, 0, -24, -1, 0, 66, -24, 0, -50, 0, 0, -4, 78, -36, 0, -24, 0, 6, -16, 0, -80, 26, -96, 40, 0, 0, -40, -14, 0, 0, 48, 12, 32, 40, 0, 36, 60, 0, -2, 0, 0, -24, 0, 0, 0, 24, 0, -24, -58, 0, 68, 30, 0, -32, 0, 0, -12, -32, -84, -5, 14, 0, -4, -4, 0, 0, 0, 0, 91, 0, 0, 16, 24, 0, 0, -4, -12, 66, 8, 0, -8, 48, 0, 2, -80, -72, -72, 6, 0, 0, -80, 0, 66, -8, 0, -28, -42, 0, -48, 0, 0, -2, -44, 24, 0, -48, 0, 4, -16, 0, 84, 0, -6, 24, 0, 0, 56, 42, 0, 0, -62, 0, -26, -12, 0, 36, 0, 0, -32, 0, 24, -8, -36, 0, 0, 20, 0, -40, 24, 0, -16, 0, 0, -16, 0, 0, -28, 3, 0, 0, 8, 0, 0, 16, 0, -8, 60, 0, 24, -10, 0, -20, 72, 0, 0, 46, -48, 8, 76, 0, -48, 2, 0, -16, 0, -27, -64, -60, 0, 0, 0, 0, -32, -16, -30, 16, 96, 0, 12, 0, 0, -32, -12, 36, 0, -8, 0, 32, 0, 0, -56, -32, 0, 0, 0, 0, 28, -16, 0, 40, 40, -18, 54, -12, 0, 44, -18, 0, -72, 0, -12, -38, -4, 0, 0, 4, 0, -12, -6, 0, 72, -48, 0, 8, -20, 0, -16, -52, -12, 0, -80, 0, -96, 4, 0, -36, -32, 36, 0, 0, 0, -16, 60, 0, 0, -12, 36, -20, -68, 0], 'weight': 2, '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], [-1], [0], [1], [0], [0], [1], [-1], [-3], [0], [-4], [0], [-2], [-1], [0], [1], [4], [3], [4], [0], [0], [4], [0], [0], [-5], [2], [0], [1], [2], [0], [4], [-1], [0], [-4], [0], [-3], [4], [-4], [0], [0], [-6], [0], [-4], [-4], [0], [0], [4], [0], [1], [5], [0], [-2], [12], [0], [0], [-1], [0], [-2], [8], [0], [0], [-4], [-3], [1], [0], [0], [4], [4], [0], [0], [8], [3], [-10], [-4], [0], [4], [-4], [0], [-8], [0], [9], [6], [-12], [0], [0], [4], [0], [4], [-4], [0], [-2], [0], [0], [-4], [0], [0], [12], [-1], [12], [-5]], 'ap': [[-1], [0], [0], [1], [-4], [-2], [4], [4], [0], [2], [4], [4], [-6], [-4], [4], [12], [8], [0], [4], [8], [-10], [-8], [-12], [-4], [12], [6], [-16], [-12], [-4], [16], [-8], [0], [0], [-8], [-20], [-8], [-24], [12], [-12], [-14], [-12], [-8], [8], [-2], [-6], [-24], [12], [-12], [-20], [8], [26], [0], [-28], [20], [18], [0], [18], [20], [-22], [8], [-4], [-32], [32], [28], [4], [2], [4], [8], [-36], [-30], [-2], [8], [8], [-4], [-28], [-16], [12], [-2], [0], [-26], [-12], [28], [-24], [-20], [36], [4], [-14], [-8], [2], [-8], [20], [16], [-8], [4], [20], [-24], [-30], [28], [-28], [34], [12], [20], [12], [0], [-28], [14], [-40], [2], [-24], [-26], [-4], [-20], [8], [-4], [-48], [-48], [-4], [-4], [14], [-12], [-32], [-14], [-8], [12], [40], [-4], [-28], [20], [8], [-32], [44], [-48], [16], [-36], [38], [4], [-32], [-4], [24], [-42], [24], [22], [0], [-12], [-14], [16], [22], [-6], [48], [56], [18], [-28], [44], [-28], [-20], [24], [-40], [-30], [52], [48], [-28], [56], [32], [28], [32], [-24], [-40], [26], [-40], [54], [-44], [-30], [32], [-56], [-44], [28], [4], [6], [0], [-16], [-64], [-44], [26], [-58], [24], [-40], [-34], [28], [-26], [-60], [-46], [-52], [-20], [46], [52], [28], [-56], [36], [-44], [36], [20], [-68], [42], [-44], [-36], [-14], [56], [-20], [26], [48], [34], [54], [-48], [60], [-28], [4], [0], [-2], [64], [-66], [-26], [32], [-66], [48], [-24], [-42], [-36], [40], [-16], [20], [-46], [60], [32], [38], [-4], [-8], [52], [36], [20], [-12], [-4], [64], [4], [-18], [-14], [20], [4], [-28], [-36], [16], [52], [-36], [48], [-44], [30], [-12], [-52], [52], [-22], [70], [-16], [68], [10], [16], [18], [44], [-12], [-20], [12], [-38], [-62], [12], [-4], [64], [78], [12], [44], [-34], [-64], [-4], [-76], [32], [-56], [-16], [72], [-48], [56], [-76], [76], [-18], [76], [-28], [22], [12], [50], [24], [-56], [-58], [32], [-8], [-84], [12], [72], [12], [-44], [-62], [52], [-16], [-48], [-26], [-84], [-44], [-32], [-12], [24], [-52], [8], [0], [44], [18], [-52], [-80], [14], [-32], [-24], [4], [76], [80], [48], [44], [-14], [-2], [44], [8], [44], [-24], [36], [-36], [-38], [-64], [86], [48], [54], [8], [12], [-20], [-10], [60], [-24], [64], [48], [-42], [-78], [72], [4], [22], [32], [52], [-2], [72], [-28], [-10], [48], [60], [-80], [-42], [-50], [56], [24], [44], [16], [24], [36], [-80], [-34], [-24], [24], [84], [60], [-38], [24], [-56], [72], [66], [36], [-36], [-32], [-54], [-44], [24], [-56], [26], [-60], [-16], [-24], [32], [0], [76], [-68], [-42], [-50], [78], [-40], [60], [-58], [68], [-12], [14], [-4], [8], [66], [-42], [-44], [84], [56], [-62], [24], [-28], [60], [72], [76], [-64], [96], [0], [54], [-18], [-4], [-6], [72], [-68]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 9007199288302830, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '7406.2.a.c', 'level': 7406, 'maxp': 2999, 'weight': 2}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	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': [28, 36, 38, 25, 32, 30, 22, 41], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [11, 12, 12, 12, 12, 12, 12, 12], 'ALdims_old': [93, 106, 106, 97, 100, 102, 110, 91], 'Nk2': 29624, 'analytic_conductor': 59.13720773696025, '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': [7406, 1, [2117, 3179], [1, 1]], 'conrey_index': 1, 'cusp_dim': 1057, 'dim': 252, 'eis_dim': 95, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 5, 11], 'hecke_orbit_code': 33561838, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 6, 6, 6, 6, 8, 8, 10, 10, 12, 12, 20, 20, 20, 20], 'label': '7406.2.a', 'level': 7406, '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, 7, 23], 'level_radical': 322, 'mf_dim': 1152, 'mf_new_dim': 252, 'num_forms': 48, 'plus_dim': 105, 'prim_orbit_index': 1, 'relative_dim': 252, 'sturm_bound': 2208, 'trace_bound': 7, 'trace_display': [-2, 2, 2, 0], 'traces': [252, -2, 2, 252, 2, -2, 0, -2, 248, -6, 0, 2, 6, 2, 16, 252, 4, -6, 6, 2, -2, 0, 0, -2, 272, -2, 20, 0, 4, 0, 20, -2, 0, -8, 2, 248, 8, -6, 32, -6, 12, 2, 0, 0, -6, 0, 12, 2, 252, -2, -20, 6, 12, -20, 16, 2, 4, 8, 6, 16, -22, 20, 12, 252, -36, 16, 4, 4, 0, 2, 32, -6, 8, 12, 14, 6, -12, 16, 24, 2, 272, -16, -10, -2, -44, -16, -36, 0, 0, 34, -6, 0, -32, -20, 16, -2, 4, -2, 0, 272, -14, 20, 36, -2, -16, -8, 4, 20, 0, 32, 52, 0, -44, 12, 0, 4, -2, 26, -12, 0, 268, 34, -12, 20, -60, -2, 48, -2, -16, -4, -50, 0, 14, 28, 16, -8, -24, 0, 10, 2, -56, -8, -24, 248, 12, 20, 2, 8, 12, 50, 56, -6, -36, -12, -8, 32, 6, 24, -36, -6, 0, 42, 44, 12, 16, -38, 68, 2, 256, 4, 22, 0, -34, 36, 20, 0, 12, -36, -56, -6, -18, 2, 32, 0, 12, 32, -16, 12, 4, -16, -56, 2, 4, -8, -32, 252, -8, 32, -4, -2, -40, -46, -28, -20, 36, -36, 0, 6, 32, 16, -48, 12, -8, 28, 96, -20, 28, 52, 12, 16, 28, 12, 72, 2, 380, -32, -2, 4, 22, 0, -8, 8, 0, 22, 24, 6, 144, 16, 8, 16, 20, -26, -18, -22, 2, -44, 96, 20, -44, -60, 50, 12, 0, -24, 80, 252, 88, -16, 12, -36, -4, -54, -112, 16, -20, -6, 4, 4, -2, 16, 96, 4, 0, 12, 48, 0, -16, 46, 76, 2, 40, 64, -34, 32, 120, -56, -4, -6, 180, 12, -52, 8, -78, -2, 48, 12, 128, 24, 0, 14, -4, 16, -8, 6, 60, -64, 38, -12, 56, -8, 24, 16, 60, -74, 18, 24, 32, -60, 64, 2, -72, 0, 28, 272, 66, 12, -44, -16, -28, 16, 60, -10, -16, 60, 56, -2, 60, 14, 60, -44, 24, -54, 0, -16, 0, -42, 20, -36, 126, -6, 96, 0, 24, -36, 64, 0, 60, 8, 56, 34, 376, 30, -198, -6, 100, -80, 24, 0, 140, 44, -32, -32, 28, 88, 48, -20, -20, 44, 56, 16, 128, -8, -12, -2, 24, -8, -48, 4, 88, 0, 0, -2, -36, -44, -24, 0, -10, 36, 4, 272, 116, -40, 56, -14, -14, -8, -48, 20, -76, 52, -44, 36, 34, 0, 88, -2, 92, 16, 34, -16, -20, 16, 60, -8, -12, -32, -6, 4, 32, 88, -80, 20, -20, 12, -144, 0, 0, 60, 48, 32, 248, -84, -24, 52, 36, 96, -196, 0, 112, 34, 64, -44, -120, -14, 68, 12, -12, -74, -168, 0, -2, 0, 48, 4, -64, -20, 14, -2, 24, 56, 136, 26, 64, 0, -158, -12, 20, 120, 44, 0, -44, -24, 0, 268, 92, -102, 80, 34, 64, -6, 56, -12, -64, -16, 80, 20, -8, -4, -56, -60, 40, -34, -72, -2, -20, 0, 46, 48, 54, 176, 0, -2, -104, 12, 32, -16, -104, -24, 32, -4, -36, 24, -50, -50, -38, 0, 24, 0, 0, -508, -42, 14, -540, 92, -8, 28, 104, -466, 0, 16, 88, 72, -40, -8, -308, 48, 132, -24, -94, 16, 172, 0, 16, -452, 16, 10, -12, 124, 216, 2, 160, 28, -94, -56, -612, -30, 36, -8, 68, 152, -96, -24, 176, 40, 0, 248, 144, -366, -52, 12, 22, -108, 64, 20, -52, -6, -6, 2, 48, 32, -4, 8, -344, 96, 12, 12, 104, 0, 80, 50, 96, 12, 4, 56, 90, 64, -8, -6, 44, -452, -48, -36, -40, 74, -192, -12, -68, 72, 6, -8, 0, -24, -8, 32, 256, 112, 96, 6, -400, 2, 64, 24, -8, 108, 0, -36, 6, 128, 264, -6, -76, 8, -190, 0, 112, -4, 84, 42, 0, -462, -24, 44, 36, -84, 16, 12, 312, 20, 64, 16, 82, -68, 16, -38, 8, 116, 0, 68, 128, 16, 256, 2, -432, 8, 60, 256, 54, 36, 28, 4, 4, 104, 184, 22, -68, 2, -24, 0, 68, 0, 30, -34, -76, -20, -208, 36, 64, -578, 84, 20, 136, 120, 140, 0, 32, 28, -18, 12, -24, 64, 40, -36, 0, 4, 0, -56, 120, -40, 172, -6, -20, 58, 60, -18, -316, -58, -76, 2, 260, -44, -48, 32, 42, 72, 16, 0, 192, -24, 28, 12, 16, -12, -96, 32, 12, -88, -74, -16, -48, 112, 40, 12, -68, -452, 48, 4, -216, -8, 0, -16, 116, 200, -12, -56, 204, 92, 8, 2, -180, 40, 252, 4, 2, -96, 52, -8, 84, 44, 52, -32, -112, 0, 32, 252, -548, -20, -50, -8, -192, 24, 28, 32, 44, 150, 264, -4, 134, -68, -56, -2, 248, 0, -112, -40, 0, 8, 216, -46, 148, 26, 62, -28, 96, 48, -40, -20, -96, -448, -14, 36, 16, -212, 56, -36, -64, -18, 132, 0, 10, 8, 68, 6, 4, -76, -168, 32, 120, 30, -60, 16, 148, -40, -140, -48, 206, -124, -48, 12, -76, -96, 0, -8, -474, 18, 88, 28, -156, 32, 162, 96, 84, 64, 40, -20, -132, 16, 390, 28, 168, -112, 40, 52, -132, 0, 60, 12, -12, -32, 240, 16, 152, -6, -8, 28, 64, -56, 116, 12, -16, -612, 224, 72, 32, 36, 72, 2, 0, 60, 48, 380, -72, -64, 40, -32, 44, 56, -52, -2, 122, -12, -72, 4, 72, 0, 120, 22, 2, 72, 224, 0, 116, -18, 272, -8, 112, 32, 4, 8, -436, -80, 6, 0, 24, -78, 64, 22, -232, 16, -100, 24, 82, -24, 0, 6, 0, 128, -44, 144, 92, -34, 108, 16, 80, -64, -40, 8, 288, -28, -8, 16, 444, -188, 244, 20, -188, 0, 0, -26, 440, -380, 22, -18, -2, -8, 72, -22, -24, 64, 256, 2, 72, 72, 36, -44, -36, -8, -56, 96, 0, 112, 128, 20, 312, -56, 296, -44, 26, 88, 232, -60], 'weight': 2, '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: 1347779
    {'conductor': 23, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '7406.2.a.c', 'source_level': 7406, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '7406.2.a.b', 'target_level': 7406, 'twist_class_label': '7406.2.a.b', 'twist_class_level': 7406, 'twisting_char_label': '23.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1347780
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '7406.2.a.c', 'source_level': 7406, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '7406.2.a.c', 'target_level': 7406, 'twist_class_label': '7406.2.a.b', 'twist_class_level': 7406, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 4465475
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 9007199288302830, 'p': 2}
  • id: 4465476
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 9007199288302830, 'p': 3}
  • id: 4465477
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 9007199288302830, 'p': 5}
  • id: 4465478
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 9007199288302830, 'p': 7}
  • id: 4465479
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 9007199288302830, 'p': 11}
  • id: 4465480
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 9007199288302830, 'p': 13}
  • id: 4465481
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 9007199288302830, 'p': 17}
  • id: 4465482
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 9007199288302830, 'p': 19}
  • id: 4465483
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 9007199288302830, 'p': 23}
  • id: 4465484
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 9007199288302830, 'p': 29}
  • id: 4465485
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 9007199288302830, 'p': 31}
  • id: 4465486
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 9007199288302830, 'p': 37}
  • id: 4465487
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 9007199288302830, 'p': 41}
  • id: 4465488
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 9007199288302830, 'p': 43}
  • id: 4465489
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 9007199288302830, 'p': 47}
  • id: 4465490
    {'charpoly_factorization': [[[-12, 1], 1]], 'hecke_orbit_code': 9007199288302830, 'p': 53}
  • id: 4465491
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 9007199288302830, 'p': 59}
  • id: 4465492
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 9007199288302830, 'p': 61}
  • id: 4465493
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 9007199288302830, 'p': 67}
  • id: 4465494
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 9007199288302830, 'p': 71}
  • id: 4465495
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 9007199288302830, 'p': 73}
  • id: 4465496
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 9007199288302830, 'p': 79}
  • id: 4465497
    {'charpoly_factorization': [[[12, 1], 1]], 'hecke_orbit_code': 9007199288302830, 'p': 83}
  • id: 4465498
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 9007199288302830, 'p': 89}
  • id: 4465499
    {'charpoly_factorization': [[[-12, 1], 1]], 'hecke_orbit_code': 9007199288302830, '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': '7406.2.a.c', 'level': 7406, 'portrait': 'data:image/png;base64,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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  Showing the first 100 of 258 matching records in this table.
  • id: 27710725
    {'hecke_orbit_code': 9007199288302830, 'n': 1, 'trace_an': 1}
  • id: 27710726
    {'hecke_orbit_code': 9007199288302830, 'n': 2, 'trace_an': -1}
  • id: 27710727
    {'hecke_orbit_code': 9007199288302830, 'n': 3, 'trace_an': 0}
  • id: 27710728
    {'hecke_orbit_code': 9007199288302830, 'n': 4, 'trace_an': 1}
  • id: 27710729
    {'hecke_orbit_code': 9007199288302830, 'n': 5, 'trace_an': 0}
  • id: 27710730
    {'hecke_orbit_code': 9007199288302830, 'n': 6, 'trace_an': 0}
  • id: 27710731
    {'hecke_orbit_code': 9007199288302830, 'n': 7, 'trace_an': 1}
  • id: 27710732
    {'hecke_orbit_code': 9007199288302830, 'n': 8, 'trace_an': -1}
  • id: 27710733
    {'hecke_orbit_code': 9007199288302830, 'n': 9, 'trace_an': -3}
  • id: 27710734
    {'hecke_orbit_code': 9007199288302830, 'n': 10, 'trace_an': 0}
  • id: 27710735
    {'hecke_orbit_code': 9007199288302830, 'n': 11, 'trace_an': -4}
  • id: 27710736
    {'hecke_orbit_code': 9007199288302830, 'n': 12, 'trace_an': 0}
  • id: 27710737
    {'hecke_orbit_code': 9007199288302830, 'n': 13, 'trace_an': -2}
  • id: 27710738
    {'hecke_orbit_code': 9007199288302830, 'n': 14, 'trace_an': -1}
  • id: 27710739
    {'hecke_orbit_code': 9007199288302830, 'n': 15, 'trace_an': 0}
  • id: 27710740
    {'hecke_orbit_code': 9007199288302830, 'n': 16, 'trace_an': 1}
  • id: 27710741
    {'hecke_orbit_code': 9007199288302830, 'n': 17, 'trace_an': 4}
  • id: 27710742
    {'hecke_orbit_code': 9007199288302830, 'n': 18, 'trace_an': 3}
  • id: 27710743
    {'hecke_orbit_code': 9007199288302830, 'n': 19, 'trace_an': 4}
  • id: 27710744
    {'hecke_orbit_code': 9007199288302830, 'n': 20, 'trace_an': 0}
  • id: 27710745
    {'hecke_orbit_code': 9007199288302830, 'n': 21, 'trace_an': 0}
  • id: 27710746
    {'hecke_orbit_code': 9007199288302830, 'n': 22, 'trace_an': 4}
  • id: 27710747
    {'hecke_orbit_code': 9007199288302830, 'n': 23, 'trace_an': 0}
  • id: 27710748
    {'hecke_orbit_code': 9007199288302830, 'n': 24, 'trace_an': 0}
  • id: 27710749
    {'hecke_orbit_code': 9007199288302830, 'n': 25, 'trace_an': -5}
  • id: 27710750
    {'hecke_orbit_code': 9007199288302830, 'n': 26, 'trace_an': 2}
  • id: 27710751
    {'hecke_orbit_code': 9007199288302830, 'n': 27, 'trace_an': 0}
  • id: 27710752
    {'hecke_orbit_code': 9007199288302830, 'n': 28, 'trace_an': 1}
  • id: 27710753
    {'hecke_orbit_code': 9007199288302830, 'n': 29, 'trace_an': 2}
  • id: 27710754
    {'hecke_orbit_code': 9007199288302830, 'n': 30, 'trace_an': 0}
  • id: 27710755
    {'hecke_orbit_code': 9007199288302830, 'n': 31, 'trace_an': 4}
  • id: 27710756
    {'hecke_orbit_code': 9007199288302830, 'n': 32, 'trace_an': -1}
  • id: 27710757
    {'hecke_orbit_code': 9007199288302830, 'n': 33, 'trace_an': 0}
  • id: 27710758
    {'hecke_orbit_code': 9007199288302830, 'n': 34, 'trace_an': -4}
  • id: 27710759
    {'hecke_orbit_code': 9007199288302830, 'n': 35, 'trace_an': 0}
  • id: 27710760
    {'hecke_orbit_code': 9007199288302830, 'n': 36, 'trace_an': -3}
  • id: 27710761
    {'hecke_orbit_code': 9007199288302830, 'n': 37, 'trace_an': 4}
  • id: 27710762
    {'hecke_orbit_code': 9007199288302830, 'n': 38, 'trace_an': -4}
  • id: 27710763
    {'hecke_orbit_code': 9007199288302830, 'n': 39, 'trace_an': 0}
  • id: 27710764
    {'hecke_orbit_code': 9007199288302830, 'n': 40, 'trace_an': 0}
  • id: 27710765
    {'hecke_orbit_code': 9007199288302830, 'n': 41, 'trace_an': -6}
  • id: 27710766
    {'hecke_orbit_code': 9007199288302830, 'n': 42, 'trace_an': 0}
  • id: 27710767
    {'hecke_orbit_code': 9007199288302830, 'n': 43, 'trace_an': -4}
  • id: 27710768
    {'hecke_orbit_code': 9007199288302830, 'n': 44, 'trace_an': -4}
  • id: 27710769
    {'hecke_orbit_code': 9007199288302830, 'n': 45, 'trace_an': 0}
  • id: 27710770
    {'hecke_orbit_code': 9007199288302830, 'n': 46, 'trace_an': 0}
  • id: 27710771
    {'hecke_orbit_code': 9007199288302830, 'n': 47, 'trace_an': 4}
  • id: 27710772
    {'hecke_orbit_code': 9007199288302830, 'n': 48, 'trace_an': 0}
  • id: 27710773
    {'hecke_orbit_code': 9007199288302830, 'n': 49, 'trace_an': 1}
  • id: 27710774
    {'hecke_orbit_code': 9007199288302830, 'n': 50, 'trace_an': 5}
  • id: 27710775
    {'hecke_orbit_code': 9007199288302830, 'n': 51, 'trace_an': 0}
  • id: 27710776
    {'hecke_orbit_code': 9007199288302830, 'n': 52, 'trace_an': -2}
  • id: 27710777
    {'hecke_orbit_code': 9007199288302830, 'n': 53, 'trace_an': 12}
  • id: 27710778
    {'hecke_orbit_code': 9007199288302830, 'n': 54, 'trace_an': 0}
  • id: 27710779
    {'hecke_orbit_code': 9007199288302830, 'n': 55, 'trace_an': 0}
  • id: 27710780
    {'hecke_orbit_code': 9007199288302830, 'n': 56, 'trace_an': -1}
  • id: 27710781
    {'hecke_orbit_code': 9007199288302830, 'n': 57, 'trace_an': 0}
  • id: 27710782
    {'hecke_orbit_code': 9007199288302830, 'n': 58, 'trace_an': -2}
  • id: 27710783
    {'hecke_orbit_code': 9007199288302830, 'n': 59, 'trace_an': 8}
  • id: 27710784
    {'hecke_orbit_code': 9007199288302830, 'n': 60, 'trace_an': 0}
  • id: 27710785
    {'hecke_orbit_code': 9007199288302830, 'n': 61, 'trace_an': 0}
  • id: 27710786
    {'hecke_orbit_code': 9007199288302830, 'n': 62, 'trace_an': -4}
  • id: 27710787
    {'hecke_orbit_code': 9007199288302830, 'n': 63, 'trace_an': -3}
  • id: 27710788
    {'hecke_orbit_code': 9007199288302830, 'n': 64, 'trace_an': 1}
  • id: 27710789
    {'hecke_orbit_code': 9007199288302830, 'n': 65, 'trace_an': 0}
  • id: 27710790
    {'hecke_orbit_code': 9007199288302830, 'n': 66, 'trace_an': 0}
  • id: 27710791
    {'hecke_orbit_code': 9007199288302830, 'n': 67, 'trace_an': 4}
  • id: 27710792
    {'hecke_orbit_code': 9007199288302830, 'n': 68, 'trace_an': 4}
  • id: 27710793
    {'hecke_orbit_code': 9007199288302830, 'n': 69, 'trace_an': 0}
  • id: 27710794
    {'hecke_orbit_code': 9007199288302830, 'n': 70, 'trace_an': 0}
  • id: 27710795
    {'hecke_orbit_code': 9007199288302830, 'n': 71, 'trace_an': 8}
  • id: 27710796
    {'hecke_orbit_code': 9007199288302830, 'n': 72, 'trace_an': 3}
  • id: 27710797
    {'hecke_orbit_code': 9007199288302830, 'n': 73, 'trace_an': -10}
  • id: 27710798
    {'hecke_orbit_code': 9007199288302830, 'n': 74, 'trace_an': -4}
  • id: 27710799
    {'hecke_orbit_code': 9007199288302830, 'n': 75, 'trace_an': 0}
  • id: 27710800
    {'hecke_orbit_code': 9007199288302830, 'n': 76, 'trace_an': 4}
  • id: 27710801
    {'hecke_orbit_code': 9007199288302830, 'n': 77, 'trace_an': -4}
  • id: 27710802
    {'hecke_orbit_code': 9007199288302830, 'n': 78, 'trace_an': 0}
  • id: 27710803
    {'hecke_orbit_code': 9007199288302830, 'n': 79, 'trace_an': -8}
  • id: 27710804
    {'hecke_orbit_code': 9007199288302830, 'n': 80, 'trace_an': 0}
  • id: 27710805
    {'hecke_orbit_code': 9007199288302830, 'n': 81, 'trace_an': 9}
  • id: 27710806
    {'hecke_orbit_code': 9007199288302830, 'n': 82, 'trace_an': 6}
  • id: 27710807
    {'hecke_orbit_code': 9007199288302830, 'n': 83, 'trace_an': -12}
  • id: 27710808
    {'hecke_orbit_code': 9007199288302830, 'n': 84, 'trace_an': 0}
  • id: 27710809
    {'hecke_orbit_code': 9007199288302830, 'n': 85, 'trace_an': 0}
  • id: 27710810
    {'hecke_orbit_code': 9007199288302830, 'n': 86, 'trace_an': 4}
  • id: 27710811
    {'hecke_orbit_code': 9007199288302830, 'n': 87, 'trace_an': 0}
  • id: 27710812
    {'hecke_orbit_code': 9007199288302830, 'n': 88, 'trace_an': 4}
  • id: 27710813
    {'hecke_orbit_code': 9007199288302830, 'n': 89, 'trace_an': -4}
  • id: 27710814
    {'hecke_orbit_code': 9007199288302830, 'n': 90, 'trace_an': 0}
  • id: 27710815
    {'hecke_orbit_code': 9007199288302830, 'n': 91, 'trace_an': -2}
  • id: 27710816
    {'hecke_orbit_code': 9007199288302830, 'n': 92, 'trace_an': 0}
  • id: 27710817
    {'hecke_orbit_code': 9007199288302830, 'n': 93, 'trace_an': 0}
  • id: 27710818
    {'hecke_orbit_code': 9007199288302830, 'n': 94, 'trace_an': -4}
  • id: 27710819
    {'hecke_orbit_code': 9007199288302830, 'n': 95, 'trace_an': 0}
  • id: 27710820
    {'hecke_orbit_code': 9007199288302830, 'n': 96, 'trace_an': 0}
  • id: 27710821
    {'hecke_orbit_code': 9007199288302830, 'n': 97, 'trace_an': 12}
  • id: 27710822
    {'hecke_orbit_code': 9007199288302830, 'n': 98, 'trace_an': -1}
  • id: 27710823
    {'hecke_orbit_code': 9007199288302830, 'n': 99, 'trace_an': 12}
  • id: 27710824
    {'hecke_orbit_code': 9007199288302830, 'n': 100, 'trace_an': -5}