Newform data - 7872.2.a.u

Formats: - HTML - YAML - JSON - 2026-08-02T19:25:33.814990

• 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': 31488, 'analytic_conductor': 62.85823647115192, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [3, -1], [41, 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': [7872, 1, [3199, 1477, 5249, 5377], [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': [[5, [2, 1]], [7, [2, 1]], [11, [-4, 1]], [13, [0, 1]]], 'hecke_orbit': 21, 'hecke_orbit_code': 90071992580972224, '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': '7872.2.a.u', 'level': 7872, '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, 3, 41], 'level_radical': 246, 'minimal_twist': '3936.2.a.c', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+q^{3}-2q^{5}-2q^{7}+q^{9}+4q^{11}+\\cdots', 'related_objects': ['EllipticCurve/Q/7872/u'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '7872.2.a', 'trace_display': [0, 1, -2, -2], 'trace_hash': 464913512232005749, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.010', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.039', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.109', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.013', 'prec': 17}, 'traces': [1, 0, 1, 0, -2, 0, -2, 0, 1, 0, 4, 0, 0, 0, -2, 0, 6, 0, 0, 0, -2, 0, -4, 0, -1, 0, 1, 0, 0, 0, 8, 0, 4, 0, 4, 0, -2, 0, 0, 0, -1, 0, 4, 0, -2, 0, -2, 0, -3, 0, 6, 0, -4, 0, -8, 0, 0, 0, -12, 0, 6, 0, -2, 0, 0, 0, -8, 0, -4, 0, 6, 0, 14, 0, -1, 0, -8, 0, 14, 0, 1, 0, -4, 0, -12, 0, 0, 0, -6, 0, 0, 0, 8, 0, 0, 0, 6, 0, 4, 0, 12, 0, -8, 0, 4, 0, 4, 0, -8, 0, -2, 0, 6, 0, 8, 0, 0, 0, -12, 0, 5, 0, -1, 0, 12, 0, 8, 0, 4, 0, -4, 0, 0, 0, -2, 0, 14, 0, 4, 0, -2, 0, 0, 0, 0, 0, -3, 0, -4, 0, 10, 0, 6, 0, -16, 0, -8, 0, -4, 0, 8, 0, 20, 0, -8, 0, 14, 0, -13, 0, 0, 0, 2, 0, 2, 0, -12, 0, -4, 0, -12, 0, 6, 0, 4, 0, 24, 0, -2, 0, 18, 0, -10, 0, 0, 0, 2, 0, 2, 0, -8, 0, 0, 0, 2, 0, -4, 0, 0, 0, -8, 0, 6, 0, -8, 0, -16, 0, 14, 0, 0, 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0, -8, 0, -8, 0, -20, 0, 48, 0, -34, 0, 102, 0, -34, 0, 0, 0, 0, 0, -14, 0, 10, 0, -18, 0, -52, 0, -48, 0, -28, 0, -37, 0, -14, 0, 0, 0, -48, 0, 6, 0, 20, 0, 0, 0, -38, 0, -6, 0, 72, 0, 4, 0, 0, 0, 66, 0, 4, 0, 62, 0, 84, 0, -36, 0, 12, 0, 20, 0, 0, 0, 16, 0, 12, 0, 12, 0, 32, 0, -38, 0, 26, 0, 82, 0, 60, 0, -36, 0, -12, 0, 0, 0, 0, 0, -78, 0, -48, 0, -28, 0, 16, 0, -32, 0, 33, 0, 60, 0, 62, 0, 4, 0, 36, 0, -8, 0, 20, 0, -66, 0, 0, 0, -6, 0, 44, 0, -16, 0, 0, 0, 18, 0, -6, 0, -60, 0, 32, 0, 36, 0, -8, 0, -32, 0, -28, 0, 0, 0, 72, 0, 0, 0, -58, 0, -72, 0, -40, 0, -24, 0, -60, 0, 12, 0, -8, 0, 0, 0, 8, 0, -36, 0, 0, 0, -30, 0, -4, 0, -30, 0, -104, 0, 4, 0, 24, 0, 12, 0, -16, 0, 10, 0, 8, 0, -14, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, -18, 0, 8, 0, -14, 0, -24, 0, -2, 0, 6, 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], [0], [1], [0], [-2], [0], [-2], [0], [1], [0], [4], [0], [0], [0], [-2], [0], [6], [0], [0], [0], [-2], [0], [-4], [0], [-1], [0], [1], [0], [0], [0], [8], [0], [4], [0], [4], [0], [-2], [0], [0], [0], [-1], [0], [4], [0], [-2], [0], [-2], [0], [-3], [0], [6], [0], [-4], [0], [-8], [0], [0], [0], [-12], [0], [6], [0], [-2], [0], [0], [0], [-8], [0], [-4], [0], [6], [0], [14], [0], [-1], [0], [-8], [0], [14], [0], [1], [0], [-4], [0], [-12], [0], [0], [0], [-6], [0], [0], [0], [8], [0], [0], [0], [6], [0], [4], [0]], 'ap': [[0], [1], [-2], [-2], [4], [0], [6], [0], [-4], [0], [8], [-2], [-1], [4], [-2], [-4], [-12], [6], [-8], [6], [14], [14], [-4], [-6], [6], [12], [-8], [4], [-8], [6], [8], [-4], [14], [4], [-4], [10], [-8], [20], [14], [2], [-4], [-12], [18], [-10], [2], [2], [-8], [4], [0], [-20], [18], [30], [-2], [20], [18], [-2], [-26], [0], [22], [18], [12], [24], [4], [10], [6], [12], [0], [34], [8], [-14], [18], [24], [-4], [-22], [20], [34], [-22], [4], [14], [-30], [36], [-4], [32], [-34], [-14], [-20], [18], [-18], [10], [-26], [-12], [2], [-8], [-12], [16], [-6], [-8], [-34], [36], [-30], [4], [-24], [24], [-10], [-16], [-30], [20], [-6], [12], [26], [36], [10], [-22], [20], [-20], [-42], [16], [20], [-16], [0], [-22], [-2], [14], [-28], [-28], [26], [44], [-30], [-30], [22], [36], [12], [26], [44], [6], [-14], [-24], [20], [22], [-18], [-20], [50], [-46], [-48], [-38], [30], [30], [-6], [-44], [32], [-22], [-42], [44], [6], [-12], [-32], [-10], [-34], [-14], [-38], [-36], [26], [-6], [-60], [-58], [-36], [-14], [8], [46], [0], [-32], [-26], [-30], [-26], [38], [34], [36], [18], [-22], [-16], [24], [36], [8], [54], [-16], [-6], [58], [-20], [46], [-2], [14], [0], [4], [46], [20], [14], [-14], [8], [10], [14], [-6], [20], [40], [-38], [-16], [4], [8], [12], [26], [-28], [22], [-60], [8], [4], [-22], [-14], [-46], [-6], [42], [54], [-4], [28], [-18], [-6], [60], [44], [58], [24], [-22], [68], [-58], [-16], [16], [-6], [-36], [-54], [-34], [-60], [-60], [54], [4], [8], [-26], [-10], [-46], [-12], [-12], [24], [-76], [-16], [-10], [66], [-44], [54], [-28], [-20], [-48], [56], [8], [-58], [-28], [36], [-80], [0], [-54], [-36], [12], [70], [52], [-68], [64], [28], [-6], [48], [2], [-36], [24], [-20], [26], [-36], [58], [-14], [16], [-10], [-32], [-66], [46], [6], [42], [-14], [64], [36], [18], [68], [-68], [32], [6], [-6], [12], [16], [-10], [-36], [-84], [72], [-68], [78], [-28], [-30], [34], [-64], [-70], [24], [14], [-4], [12], [46], [-60], [-12], [74], [-14], [20], [54], [-54], [34], [26], [86], [-56], [-20], [6], [-38], [4], [66], [64], [0], [-52], [24], [-68], [-62], [58], [-64], [-56], [-42], [-80], [-50], [-42], [-44], [-42], [28], [46], [86], [92], [-74], [-16], [32], [-64], [66], [20], [44], [78], [-56], [34], [58], [-82], [-28], [28], [-22], [-36], [-76], [-90], [-12], [-36], [24], [-56], [-44], [-76], [28], [76], [6], [46], [-90], [36], [-74], [-76], [30], [-4], [-84], [14], [4], [84], [102], [-94], [-24], [-68], [-92], [-44], [-74], [-102], [-22], [-76], [-12], [-22], [70], [48], [6], [102], [-34], [-14], [-18], [-52], [20], [66], [62], [12], [12], [-38], [82], [16], [62], [-66], [44], [18], [36], [72], [-60], [-30], [-30], [24], [10], [8], [6]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 90071992580972224, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '7872.2.a.u', 'level': 7872, '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': [19, 22, 21, 18, 21, 18, 19, 22], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [5, 6, 6, 6, 6, 6, 6, 6], 'ALdims_old': [136, 154, 139, 152, 155, 136, 151, 138], 'Nk2': 31488, 'analytic_conductor': 62.85823647115192, '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': [7872, 1, [3199, 1477, 5249, 5377], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1321, 'dim': 160, 'eis_dim': 47, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 7, 11, 13], 'hecke_orbit_code': 33562304, '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, 1, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 6, 6, 7, 7], 'label': '7872.2.a', 'level': 7872, '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, 3, 41], 'level_radical': 246, 'mf_dim': 1368, 'mf_new_dim': 160, 'num_forms': 70, 'plus_dim': 74, 'prim_orbit_index': 1, 'relative_dim': 160, 'sturm_bound': 2688, 'trace_bound': 13, 'trace_display': [0, 0, 0, 0], 'traces': [160, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 160, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 160, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 32, 0, 0, 0, -96, 0, 0, 0, 32, 0, 0, 0, 48, 0, 0, 0, -64, 0, 0, 0, -16, 0, 0, 0, 128, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, -64, 0, 0, 0, 32, 0, 0, 0, 32, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, -96, 0, 0, 0, -64, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 128, 0, 0, 0, 160, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, -96, 0, 0, 0, 32, 0, 0, 0, -64, 0, 0, 0, 64, 0, 0, 0, 64, 0, 0, 0, 32, 0, 0, 0, -32, 0, 0, 0, 32, 0, 0, 0, -32, 0, 0, 0, -80, 0, 0, 0, -64, 0, 0, 0, 32, 0, 0, 0, 160, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, -32, 0, 0, 0, 96, 0, 0, 0, -32, 0, 0, 0, 48, 0, 0, 0, 64, 0, 0, 0, 16, 0, 0, 0, -64, 0, 0, 0, 288, 0, 0, 0, 0, 0, 0, 0, -176, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 128, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, -32, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, -32, 0, 0, 0, 160, 0, 0, 0, 256, 0, 0, 0, -128, 0, 0, 0, 112, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 32, 0, 0, 0, -128, 0, 0, 0, 32, 0, 0, 0, 32, 0, 0, 0, 160, 0, 0, 0, 64, 0, 0, 0, -16, 0, 0, 0, -64, 0, 0, 0, -16, 0, 0, 0, 32, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 64, 0, 0, 0, 16, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 160, 0, 0, 0, 128, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 64, 0, 0, 0, 160, 0, 0, 0, 64, 0, 0, 0, -48, 0, 0, 0, 64, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 128, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, -32, 0, 0, 0, 224, 0, 0, 0, -128, 0, 0, 0, 32, 0, 0, 0, 320, 0, 0, 0, 128, 0, 0, 0, -32, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 16, 0, 0, 0, -160, 0, 0, 0, 160, 0, 0, 0, -64, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 64, 0, 0, 0, -48, 0, 0, 0, 192, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 448, 0, 0, 0, 160, 0, 0, 0, 144, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 352, 0, 0, 0, 0, 0, 0, 0, 208, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 32, 0, 0, 0, 224, 0, 0, 0, -96, 0, 0, 0, 336, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, -32, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 224, 0, 0, 0, -128, 0, 0, 0, 16, 0, 0, 0, -128, 0, 0, 0, 512, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 128, 0, 0, 0, -16, 0, 0, 0, 96, 0, 0, 0, 288, 0, 0, 0, -96, 0, 0, 0, -320, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, -32, 0, 0, 0, 32, 0, 0, 0, 16, 0, 0, 0, -256, 0, 0, 0, -64, 0, 0, 0, -448, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, -96, 0, 0, 0, -64, 0, 0, 0, 192, 0, 0, 0, 32, 0, 0, 0, -176, 0, 0, 0, -192, 0, 0, 0, 144, 0, 0, 0, 64, 0, 0, 0, -32, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, -64, 0, 0, 0, -224, 0, 0, 0, 32, 0, 0, 0, -192, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 32, 0, 0, 0, 64, 0, 0, 0, -96, 0, 0, 0, -304, 0, 0, 0], '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: 1367647
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 21, 'source_is_minimal': False, 'source_label': '7872.2.a.u', 'source_level': 7872, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '3936.2.a.c', 'target_level': 3936, 'twist_class_label': '3936.2.a.c', 'twist_class_level': 3936, 'twisting_char_label': '8.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1367648
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 21, 'source_is_minimal': False, 'source_label': '7872.2.a.u', 'source_level': 7872, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 6, 'target_is_minimal': True, 'target_label': '3936.2.a.f', 'target_level': 3936, 'twist_class_label': '3936.2.a.c', 'twist_class_level': 3936, 'twisting_char_label': '8.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 1367649
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 21, 'source_is_minimal': False, 'source_label': '7872.2.a.u', 'source_level': 7872, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '7872.2.a.d', 'target_level': 7872, 'twist_class_label': '3936.2.a.c', 'twist_class_level': 3936, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1367650
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 21, 'source_is_minimal': False, 'source_label': '7872.2.a.u', 'source_level': 7872, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 21, 'target_is_minimal': False, 'target_label': '7872.2.a.u', 'target_level': 7872, 'twist_class_label': '3936.2.a.c', 'twist_class_level': 3936, '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: 4596150
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 90071992580972224, 'p': 2}
  • id: 4596151
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 90071992580972224, 'p': 3}
  • id: 4596152
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 90071992580972224, 'p': 5}
  • id: 4596153
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 90071992580972224, 'p': 7}
  • id: 4596154
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 90071992580972224, 'p': 11}
  • id: 4596155
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 90071992580972224, 'p': 13}
  • id: 4596156
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 90071992580972224, 'p': 17}
  • id: 4596157
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 90071992580972224, 'p': 19}
  • id: 4596158
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 90071992580972224, 'p': 23}
  • id: 4596159
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 90071992580972224, 'p': 29}
  • id: 4596160
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 90071992580972224, 'p': 31}
  • id: 4596161
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 90071992580972224, 'p': 37}
  • id: 4596162
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 90071992580972224, 'p': 41}
  • id: 4596163
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 90071992580972224, 'p': 43}
  • id: 4596164
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 90071992580972224, 'p': 47}
  • id: 4596165
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 90071992580972224, 'p': 53}
  • id: 4596166
    {'charpoly_factorization': [[[12, 1], 1]], 'hecke_orbit_code': 90071992580972224, 'p': 59}
  • id: 4596167
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 90071992580972224, 'p': 61}
  • id: 4596168
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 90071992580972224, 'p': 67}
  • id: 4596169
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 90071992580972224, 'p': 71}
  • id: 4596170
    {'charpoly_factorization': [[[-14, 1], 1]], 'hecke_orbit_code': 90071992580972224, 'p': 73}
  • id: 4596171
    {'charpoly_factorization': [[[-14, 1], 1]], 'hecke_orbit_code': 90071992580972224, 'p': 79}
  • id: 4596172
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 90071992580972224, 'p': 83}
  • id: 4596173
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 90071992580972224, 'p': 89}
  • id: 4596174
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 90071992580972224, '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': 21, 'label': '7872.2.a.u', 'level': 7872, '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: 64533259
    {'hecke_orbit_code': 90071992580972224, 'n': 1, 'trace_an': 1}
  • id: 64533260
    {'hecke_orbit_code': 90071992580972224, 'n': 2, 'trace_an': 0}
  • id: 64533261
    {'hecke_orbit_code': 90071992580972224, 'n': 3, 'trace_an': 1}
  • id: 64533262
    {'hecke_orbit_code': 90071992580972224, 'n': 4, 'trace_an': 0}
  • id: 64533263
    {'hecke_orbit_code': 90071992580972224, 'n': 5, 'trace_an': -2}
  • id: 64533264
    {'hecke_orbit_code': 90071992580972224, 'n': 6, 'trace_an': 0}
  • id: 64533265
    {'hecke_orbit_code': 90071992580972224, 'n': 7, 'trace_an': -2}
  • id: 64533266
    {'hecke_orbit_code': 90071992580972224, 'n': 8, 'trace_an': 0}
  • id: 64533267
    {'hecke_orbit_code': 90071992580972224, 'n': 9, 'trace_an': 1}
  • id: 64533268
    {'hecke_orbit_code': 90071992580972224, 'n': 10, 'trace_an': 0}
  • id: 64533269
    {'hecke_orbit_code': 90071992580972224, 'n': 11, 'trace_an': 4}
  • id: 64533270
    {'hecke_orbit_code': 90071992580972224, 'n': 12, 'trace_an': 0}
  • id: 64533271
    {'hecke_orbit_code': 90071992580972224, 'n': 13, 'trace_an': 0}
  • id: 64533272
    {'hecke_orbit_code': 90071992580972224, 'n': 14, 'trace_an': 0}
  • id: 64533273
    {'hecke_orbit_code': 90071992580972224, 'n': 15, 'trace_an': -2}
  • id: 64533274
    {'hecke_orbit_code': 90071992580972224, 'n': 16, 'trace_an': 0}
  • id: 64533275
    {'hecke_orbit_code': 90071992580972224, 'n': 17, 'trace_an': 6}
  • id: 64533276
    {'hecke_orbit_code': 90071992580972224, 'n': 18, 'trace_an': 0}
  • id: 64533277
    {'hecke_orbit_code': 90071992580972224, 'n': 19, 'trace_an': 0}
  • id: 64533278
    {'hecke_orbit_code': 90071992580972224, 'n': 20, 'trace_an': 0}
  • id: 64533279
    {'hecke_orbit_code': 90071992580972224, 'n': 21, 'trace_an': -2}
  • id: 64533280
    {'hecke_orbit_code': 90071992580972224, 'n': 22, 'trace_an': 0}
  • id: 64533281
    {'hecke_orbit_code': 90071992580972224, 'n': 23, 'trace_an': -4}
  • id: 64533282
    {'hecke_orbit_code': 90071992580972224, 'n': 24, 'trace_an': 0}
  • id: 64533283
    {'hecke_orbit_code': 90071992580972224, 'n': 25, 'trace_an': -1}
  • id: 64533284
    {'hecke_orbit_code': 90071992580972224, 'n': 26, 'trace_an': 0}
  • id: 64533285
    {'hecke_orbit_code': 90071992580972224, 'n': 27, 'trace_an': 1}
  • id: 64533286
    {'hecke_orbit_code': 90071992580972224, 'n': 28, 'trace_an': 0}
  • id: 64533287
    {'hecke_orbit_code': 90071992580972224, 'n': 29, 'trace_an': 0}
  • id: 64533288
    {'hecke_orbit_code': 90071992580972224, 'n': 30, 'trace_an': 0}
  • id: 64533289
    {'hecke_orbit_code': 90071992580972224, 'n': 31, 'trace_an': 8}
  • id: 64533290
    {'hecke_orbit_code': 90071992580972224, 'n': 32, 'trace_an': 0}
  • id: 64533291
    {'hecke_orbit_code': 90071992580972224, 'n': 33, 'trace_an': 4}
  • id: 64533292
    {'hecke_orbit_code': 90071992580972224, 'n': 34, 'trace_an': 0}
  • id: 64533293
    {'hecke_orbit_code': 90071992580972224, 'n': 35, 'trace_an': 4}
  • id: 64533294
    {'hecke_orbit_code': 90071992580972224, 'n': 36, 'trace_an': 0}
  • id: 64533295
    {'hecke_orbit_code': 90071992580972224, 'n': 37, 'trace_an': -2}
  • id: 64533296
    {'hecke_orbit_code': 90071992580972224, 'n': 38, 'trace_an': 0}
  • id: 64533297
    {'hecke_orbit_code': 90071992580972224, 'n': 39, 'trace_an': 0}
  • id: 64533298
    {'hecke_orbit_code': 90071992580972224, 'n': 40, 'trace_an': 0}
  • id: 64533299
    {'hecke_orbit_code': 90071992580972224, 'n': 41, 'trace_an': -1}
  • id: 64533300
    {'hecke_orbit_code': 90071992580972224, 'n': 42, 'trace_an': 0}
  • id: 64533301
    {'hecke_orbit_code': 90071992580972224, 'n': 43, 'trace_an': 4}
  • id: 64533302
    {'hecke_orbit_code': 90071992580972224, 'n': 44, 'trace_an': 0}
  • id: 64533303
    {'hecke_orbit_code': 90071992580972224, 'n': 45, 'trace_an': -2}
  • id: 64533304
    {'hecke_orbit_code': 90071992580972224, 'n': 46, 'trace_an': 0}
  • id: 64533305
    {'hecke_orbit_code': 90071992580972224, 'n': 47, 'trace_an': -2}
  • id: 64533306
    {'hecke_orbit_code': 90071992580972224, 'n': 48, 'trace_an': 0}
  • id: 64533307
    {'hecke_orbit_code': 90071992580972224, 'n': 49, 'trace_an': -3}
  • id: 64533308
    {'hecke_orbit_code': 90071992580972224, 'n': 50, 'trace_an': 0}
  • id: 64533309
    {'hecke_orbit_code': 90071992580972224, 'n': 51, 'trace_an': 6}
  • id: 64533310
    {'hecke_orbit_code': 90071992580972224, 'n': 52, 'trace_an': 0}
  • id: 64533311
    {'hecke_orbit_code': 90071992580972224, 'n': 53, 'trace_an': -4}
  • id: 64533312
    {'hecke_orbit_code': 90071992580972224, 'n': 54, 'trace_an': 0}
  • id: 64533313
    {'hecke_orbit_code': 90071992580972224, 'n': 55, 'trace_an': -8}
  • id: 64533314
    {'hecke_orbit_code': 90071992580972224, 'n': 56, 'trace_an': 0}
  • id: 64533315
    {'hecke_orbit_code': 90071992580972224, 'n': 57, 'trace_an': 0}
  • id: 64533316
    {'hecke_orbit_code': 90071992580972224, 'n': 58, 'trace_an': 0}
  • id: 64533317
    {'hecke_orbit_code': 90071992580972224, 'n': 59, 'trace_an': -12}
  • id: 64533318
    {'hecke_orbit_code': 90071992580972224, 'n': 60, 'trace_an': 0}
  • id: 64533319
    {'hecke_orbit_code': 90071992580972224, 'n': 61, 'trace_an': 6}
  • id: 64533320
    {'hecke_orbit_code': 90071992580972224, 'n': 62, 'trace_an': 0}
  • id: 64533321
    {'hecke_orbit_code': 90071992580972224, 'n': 63, 'trace_an': -2}
  • id: 64533322
    {'hecke_orbit_code': 90071992580972224, 'n': 64, 'trace_an': 0}
  • id: 64533323
    {'hecke_orbit_code': 90071992580972224, 'n': 65, 'trace_an': 0}
  • id: 64533324
    {'hecke_orbit_code': 90071992580972224, 'n': 66, 'trace_an': 0}
  • id: 64533325
    {'hecke_orbit_code': 90071992580972224, 'n': 67, 'trace_an': -8}
  • id: 64533326
    {'hecke_orbit_code': 90071992580972224, 'n': 68, 'trace_an': 0}
  • id: 64533327
    {'hecke_orbit_code': 90071992580972224, 'n': 69, 'trace_an': -4}
  • id: 64533328
    {'hecke_orbit_code': 90071992580972224, 'n': 70, 'trace_an': 0}
  • id: 64533329
    {'hecke_orbit_code': 90071992580972224, 'n': 71, 'trace_an': 6}
  • id: 64533330
    {'hecke_orbit_code': 90071992580972224, 'n': 72, 'trace_an': 0}
  • id: 64533331
    {'hecke_orbit_code': 90071992580972224, 'n': 73, 'trace_an': 14}
  • id: 64533332
    {'hecke_orbit_code': 90071992580972224, 'n': 74, 'trace_an': 0}
  • id: 64533333
    {'hecke_orbit_code': 90071992580972224, 'n': 75, 'trace_an': -1}
  • id: 64533334
    {'hecke_orbit_code': 90071992580972224, 'n': 76, 'trace_an': 0}
  • id: 64533335
    {'hecke_orbit_code': 90071992580972224, 'n': 77, 'trace_an': -8}
  • id: 64533336
    {'hecke_orbit_code': 90071992580972224, 'n': 78, 'trace_an': 0}
  • id: 64533337
    {'hecke_orbit_code': 90071992580972224, 'n': 79, 'trace_an': 14}
  • id: 64533338
    {'hecke_orbit_code': 90071992580972224, 'n': 80, 'trace_an': 0}
  • id: 64533339
    {'hecke_orbit_code': 90071992580972224, 'n': 81, 'trace_an': 1}
  • id: 64533340
    {'hecke_orbit_code': 90071992580972224, 'n': 82, 'trace_an': 0}
  • id: 64533341
    {'hecke_orbit_code': 90071992580972224, 'n': 83, 'trace_an': -4}
  • id: 64533342
    {'hecke_orbit_code': 90071992580972224, 'n': 84, 'trace_an': 0}
  • id: 64533343
    {'hecke_orbit_code': 90071992580972224, 'n': 85, 'trace_an': -12}
  • id: 64533344
    {'hecke_orbit_code': 90071992580972224, 'n': 86, 'trace_an': 0}
  • id: 64533345
    {'hecke_orbit_code': 90071992580972224, 'n': 87, 'trace_an': 0}
  • id: 64533346
    {'hecke_orbit_code': 90071992580972224, 'n': 88, 'trace_an': 0}
  • id: 64533347
    {'hecke_orbit_code': 90071992580972224, 'n': 89, 'trace_an': -6}
  • id: 64533348
    {'hecke_orbit_code': 90071992580972224, 'n': 90, 'trace_an': 0}
  • id: 64533349
    {'hecke_orbit_code': 90071992580972224, 'n': 91, 'trace_an': 0}
  • id: 64533350
    {'hecke_orbit_code': 90071992580972224, 'n': 92, 'trace_an': 0}
  • id: 64533351
    {'hecke_orbit_code': 90071992580972224, 'n': 93, 'trace_an': 8}
  • id: 64533352
    {'hecke_orbit_code': 90071992580972224, 'n': 94, 'trace_an': 0}
  • id: 64533353
    {'hecke_orbit_code': 90071992580972224, 'n': 95, 'trace_an': 0}
  • id: 64533354
    {'hecke_orbit_code': 90071992580972224, 'n': 96, 'trace_an': 0}
  • id: 64533355
    {'hecke_orbit_code': 90071992580972224, 'n': 97, 'trace_an': 6}
  • id: 64533356
    {'hecke_orbit_code': 90071992580972224, 'n': 98, 'trace_an': 0}
  • id: 64533357
    {'hecke_orbit_code': 90071992580972224, 'n': 99, 'trace_an': 4}
  • id: 64533358
    {'hecke_orbit_code': 90071992580972224, 'n': 100, 'trace_an': 0}