Newform data - 2664.2.a.c

Formats: - HTML - YAML - JSON - 2026-10-08T20:44:35.394127

• 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': 10656, 'analytic_conductor': 21.272147098469095, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [3, -1], [37, -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': [2664, 1, [1999, 1333, 2369, 1297], [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, [0, 1]], [7, [3, 1]], [11, [-3, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007199288298088, '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': '2664.2.a.c', 'level': 2664, '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, 37], 'level_radical': 222, 'minimal_twist': '296.2.a.b', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-3q^{7}+3q^{11}-2q^{17}-2q^{19}+6q^{23}+\\cdots', 'related_objects': ['EllipticCurve/Q/2664/c'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2664.2.a', 'trace_display': [0, 0, 0, -3], 'trace_hash': 746379008989120147, 'trace_moments': [0, {'__RealLiteral__': 0, 'data': '1.000', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '2.037', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '5.130', 'prec': 14}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.020', 'prec': 7}, 'traces': [1, 0, 0, 0, 0, 0, -3, 0, 0, 0, 3, 0, 0, 0, 0, 0, -2, 0, -2, 0, 0, 0, 6, 0, -5, 0, 0, 0, 2, 0, -4, 0, 0, 0, 0, 0, 1, 0, 0, 0, -7, 0, 4, 0, 0, 0, -1, 0, 2, 0, 0, 0, -9, 0, 0, 0, 0, 0, -8, 0, -4, 0, 0, 0, 0, 0, 12, 0, 0, 0, 5, 0, -13, 0, 0, 0, -9, 0, -10, 0, 0, 0, 1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 9, 0, -8, 0, 0, 0, -12, 0, -14, 0, 0, 0, -6, 0, 0, 0, 0, 0, 6, 0, -2, 0, 0, 0, 0, 0, 11, 0, 0, 0, -10, 0, 6, 0, 0, 0, -10, 0, -20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21, 0, 0, 0, 0, 0, 0, 0, -17, 0, 0, 0, -18, 0, 8, 0, 0, 0, 2, 0, -13, 0, 0, 0, 19, 0, 15, 0, 0, 0, -10, 0, 5, 0, 0, 0, 0, 0, -6, 0, 0, 0, 20, 0, 4, 0, 0, 0, -11, 0, -14, 0, 0, 0, -6, 0, 0, 0, 0, 0, -6, 0, 13, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, -13, 0, 0, 0, 18, 0, 0, 0, 0, 0, 6, 0, 18, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 18, 0, 0, 0, -28, 0, -3, 0, 0, 0, 19, 0, 0, 0, 0, 0, -14, 0, 15, 0, 0, 0, -15, 0, 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-3, 0, -27, 0, 0, 0, -42, 0, 8, 0, 0, 0, -11, 0, 0, 0, 0, 0, -23, 0, 14, 0, 0, 0, 0, 0, 34, 0, 0, 0, 0, 0, 43, 0, 0, 0, 23, 0, 37, 0, 0, 0, -6, 0, 25, 0, 0, 0, -2, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 33, 0, -34, 0, 0, 0, 46, 0, -24, 0, 0, 0, -4, 0, 0, 0, 0, 0, -35, 0, 42, 0, 0, 0, 0, 0, 12, 0, 0, 0, -12, 0, -41, 0, 0, 0, 31, 0, 36, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, 14, 0, 0, 0, -28, 0, -2, 0, 0, 0, -27, 0, 6, 0, 0, 0, -24, 0, 0, 0, 0, 0, -13, 0, 24, 0, 0, 0, -10, 0, -26, 0, 0, 0, -8, 0, 31, 0, 0, 0, 36, 0, -3, 0, 0, 0, -31, 0, 0, 0, 0, 0, 36, 0, 3, 0, 0, 0, 0, 0, -26, 0, 0, 0, -17, 0, 42, 0, 0, 0, 0, 0, 14, 0, 0, 0, 33, 0, 20, 0, 0, 0, 14, 0, 15, 0, 0, 0, 0, 0, -39, 0, 0, 0, 18, 0, 0, 0, 0, 0, -16, 0, 2, 0, 0, 0, -39, 0, 0, 0, 0, 0, 10, 0, -27, 0, 0, 0, 0, 0, -8, 0, 0, 0, 15, 0, -48, 0, 0, 0, 38, 0, -56, 0, 0, 0, -4, 0, 0, 0, 0, 0, -8, 0, -25, 0, 0, 0, 0, 0, 6, 0, 0, 0, 6, 0, 34, 0, 0, 0, -6, 0, -34, 0, 0, 0, 48, 0, 0, 0, 0, 0, -30, 0, 0, 0, 0, 0, 0, 0, -22, 0, 0, 0, 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45, 0, 34, 0, 0, 0, -16, 0, -8, 0, 0, 0, 91, 0, 0, 0, 0, 0, -60, 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], [0], [0], [0], [0], [-3], [0], [0], [0], [3], [0], [0], [0], [0], [0], [-2], [0], [-2], [0], [0], [0], [6], [0], [-5], [0], [0], [0], [2], [0], [-4], [0], [0], [0], [0], [0], [1], [0], [0], [0], [-7], [0], [4], [0], [0], [0], [-1], [0], [2], [0], [0], [0], [-9], [0], [0], [0], [0], [0], [-8], [0], [-4], [0], [0], [0], [0], [0], [12], [0], [0], [0], [5], [0], [-13], [0], [0], [0], [-9], [0], [-10], [0], [0], [0], [1], [0], [0], [0], [0], [0], [2], [0], [0], [0], [0], [0], [0], [0], [-12], [0], [0], [0]], 'ap': [[0], [0], [0], [-3], [3], [0], [-2], [-2], [6], [2], [-4], [1], [-7], [4], [-1], [-9], [-8], [-4], [12], [5], [-13], [-10], [1], [2], [-12], [9], [-8], [-12], [-14], [-6], [11], [-10], [-10], [-20], [21], [0], [-17], [8], [2], [19], [-10], [5], [20], [4], [-11], [-14], [13], [5], [0], [-13], [18], [6], [18], [24], [-28], [19], [-14], [15], [24], [-32], [-8], [-22], [-7], [-30], [0], [-6], [-22], [15], [10], [22], [30], [-15], [-32], [1], [5], [20], [-20], [-25], [-28], [-32], [3], [-10], [0], [21], [32], [41], [30], [28], [8], [38], [-6], [38], [26], [-12], [0], [18], [15], [29], [0], [-36], [12], [-18], [0], [24], [-15], [38], [-42], [-11], [-23], [14], [34], [43], [23], [37], [2], [33], [-34], [46], [-4], [-35], [42], [-41], [31], [-12], [-28], [-28], [6], [-13], [-26], [31], [-3], [-31], [3], [-26], [-17], [14], [33], [-39], [-16], [10], [-27], [15], [-48], [38], [-56], [-8], [34], [-6], [-34], [48], [-22], [-18], [32], [9], [-28], [4], [-4], [10], [17], [2], [2], [-45], [-22], [-28], [-4], [33], [44], [18], [5], [-6], [-40], [-16], [-32], [-5], [-49], [-24], [-10], [6], [1], [30], [8], [10], [36], [24], [-12], [23], [-35], [-2], [52], [23], [-56], [44], [54], [-33], [-33], [-9], [14], [-14], [17], [-6], [-58], [-1], [2], [-21], [-12], [8], [-16], [-56], [34], [-23], [-44], [-12], [22], [-20], [-30], [-53], [-32], [24], [-18], [-6], [7], [-43], [33], [-24], [33], [14], [6], [19], [-23], [-20], [23], [49], [-55], [-5], [-61], [53], [50], [38], [24], [0], [-56], [-58], [-59], [-52], [-10], [78], [-62], [-38], [-3], [-64], [38], [38], [8], [-14], [-52], [-33], [-71], [8], [-45], [70], [-12], [22], [22], [14], [60], [71], [-5], [-78], [-19], [44], [-18], [-30], [70], [64], [-2], [56], [-72], [46], [15], [46], [7], [-6], [60], [37], [46], [-33], [26], [-2], [44], [-72], [-20], [60], [3], [-15], [49], [-83], [35], [70], [-6], [-51], [0], [-85], [45], [6], [10], [-70], [68], [-80], [3], [-84], [-59], [-37], [79], [-55], [20], [34], [45], [-60], [-47], [36], [-60], [-13], [30], [16], [-9], [-38], [76], [80], [38], [30], [57], [30], [-44], [-26], [-26], [72], [25], [13], [2], [-48], [-19], [-15], [84], [4], [-12], [80], [-43], [19], [30], [57], [-52], [-25], [-10], [26], [10], [-26], [80], [-34], [-27], [36], [-62], [-1], [-88], [-28], [13], [-6], [-42], [70], [28], [68], [68], [72], [-22], [88], [37], [-60], [-33], [-86], [24], [-15], [-60], [8], [66], [-50], [-82], [17], [-59], [-8], [36], [56], [47], [-42], [86], [98], [-47], [-26], [-74], [-5], [-67], [-6], [21], [-18], [74], [-6], [-90], [-35], [-26], [90], [84], [51], [75], [-35], [12], [-60], [-4], [90], [88], [-21], [-18], [40], [82], [30], [36], [61], [-106], [-31], [20], [-9], [40], [-60]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 9007199288298088, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '2664.2.a.c', 'level': 2664, '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': [4, 5, 8, 5, 4, 5, 6, 8], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [3, 4, 4, 4, 4, 4, 4, 4], 'ALdims_old': [47, 55, 47, 50, 56, 45, 49, 47], 'Nk2': 10656, 'analytic_conductor': 21.272147098469095, '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': [2664, 1, [1999, 1333, 2369, 1297], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 441, 'dim': 45, 'eis_dim': 31, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 7, 11], 'hecke_orbit_code': 33557096, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 3, 3, 3, 3, 3, 4, 5, 5], 'label': '2664.2.a', 'level': 2664, '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, 37], 'level_radical': 222, 'mf_dim': 472, 'mf_new_dim': 45, 'num_forms': 20, 'plus_dim': 20, 'prim_orbit_index': 1, 'relative_dim': 45, 'sturm_bound': 912, 'trace_bound': 11, 'trace_display': [0, 0, -2, -4], 'traces': [45, 0, 0, 0, -2, 0, -4, 0, 0, 0, -2, 0, 2, 0, 0, 0, 6, 0, 0, 0, 0, 0, -16, 0, 57, 0, 0, 0, 10, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 4, 0, -8, 0, 0, 0, -8, 0, 73, 0, 0, 0, -18, 0, 16, 0, 0, 0, -8, 0, -2, 0, 0, 0, 24, 0, 6, 0, 0, 0, 28, 0, -28, 0, 0, 0, 16, 0, -4, 0, 0, 0, -16, 0, -28, 0, 0, 0, -6, 0, -28, 0, 0, 0, 20, 0, -10, 0, 0, 0, -2, 0, 28, 0, 0, 0, -34, 0, -6, 0, 0, 0, 10, 0, 20, 0, 0, 0, 4, 0, 19, 0, 0, 0, 12, 0, -4, 0, 0, 0, 44, 0, -36, 0, 0, 0, 28, 0, 14, 0, 0, 0, -12, 0, 24, 0, 0, 0, 30, 0, 36, 0, 0, 0, -30, 0, -6, 0, 0, 0, -16, 0, 16, 0, 0, 0, 76, 0, 41, 0, 0, 0, -30, 0, 32, 0, 0, 0, 24, 0, -66, 0, 0, 0, -8, 0, -16, 0, 0, 0, -8, 0, -18, 0, 0, 0, -2, 0, -20, 0, 0, 0, 72, 0, -8, 0, 0, 0, 44, 0, 30, 0, 0, 0, 76, 0, 36, 0, 0, 0, 16, 0, -4, 0, 0, 0, 8, 0, -26, 0, 0, 0, 20, 0, -48, 0, 0, 0, -16, 0, -26, 0, 0, 0, -30, 0, 40, 0, 0, 0, -24, 0, 24, 0, 0, 0, 2, 0, -12, 0, 0, 0, 28, 0, 48, 0, 0, 0, -22, 0, -60, 0, 0, 0, 62, 0, 110, 0, 0, 0, 86, 0, 44, 0, 0, 0, -8, 0, 71, 0, 0, 0, -26, 0, 4, 0, 0, 0, -78, 0, -4, 0, 0, 0, 90, 0, 70, 0, 0, 0, -28, 0, 10, 0, 0, 0, 58, 0, -144, 0, 0, 0, 8, 0, 22, 0, 0, 0, 12, 0, -84, 0, 0, 0, -44, 0, -52, 0, 0, 0, 40, 0, 4, 0, 0, 0, -16, 0, 38, 0, 0, 0, -70, 0, 132, 0, 0, 0, -132, 0, 49, 0, 0, 0, 48, 0, -76, 0, 0, 0, -44, 0, -42, 0, 0, 0, -106, 0, -34, 0, 0, 0, 44, 0, 20, 0, 0, 0, -70, 0, -20, 0, 0, 0, 60, 0, 46, 0, 0, 0, -38, 0, 16, 0, 0, 0, 0, 0, 14, 0, 0, 0, -72, 0, -140, 0, 0, 0, -50, 0, 122, 0, 0, 0, -86, 0, -108, 0, 0, 0, -96, 0, -68, 0, 0, 0, -16, 0, 16, 0, 0, 0, -14, 0, 64, 0, 0, 0, -94, 0, 4, 0, 0, 0, -64, 0, 10, 0, 0, 0, 22, 0, -104, 0, 0, 0, 44, 0, -28, 0, 0, 0, 100, 0, -84, 0, 0, 0, -80, 0, 8, 0, 0, 0, -136, 0, 88, 0, 0, 0, -22, 0, -88, 0, 0, 0, -60, 0, 48, 0, 0, 0, 12, 0, -188, 0, 0, 0, 70, 0, -200, 0, 0, 0, -38, 0, 84, 0, 0, 0, 110, 0, -48, 0, 0, 0, -144, 0, -61, 0, 0, 0, -64, 0, -8, 0, 0, 0, -246, 0, 94, 0, 0, 0, 32, 0, -24, 0, 0, 0, 16, 0, -44, 0, 0, 0, -38, 0, -156, 0, 0, 0, 32, 0, 96, 0, 0, 0, -122, 0, -102, 0, 0, 0, -28, 0, -106, 0, 0, 0, 180, 0, 64, 0, 0, 0, -96, 0, -44, 0, 0, 0, -24, 0, 48, 0, 0, 0, 132, 0, -48, 0, 0, 0, -142, 0, -20, 0, 0, 0, 144, 0, -182, 0, 0, 0, 60, 0, 42, 0, 0, 0, -52, 0, 13, 0, 0, 0, -18, 0, -100, 0, 0, 0, 232, 0, 54, 0, 0, 0, 28, 0, 108, 0, 0, 0, 92, 0, -36, 0, 0, 0, 130, 0, 140, 0, 0, 0, 26, 0, -22, 0, 0, 0, -40, 0, 94, 0, 0, 0, 36, 0, -200, 0, 0, 0, 82, 0, -24, 0, 0, 0, -72, 0, 76, 0, 0, 0, -116, 0, 4, 0, 0, 0, -104, 0, -120, 0, 0, 0, -38, 0, 0, 0, 0, 0, 180, 0, 18, 0, 0, 0, -112, 0, 10, 0, 0, 0, -4, 0, 56, 0, 0, 0, 158, 0, -12, 0, 0, 0, -16, 0, -38, 0, 0, 0, -126, 0, 186, 0, 0, 0, -140, 0, -136, 0, 0, 0, 92, 0, 100, 0, 0, 0, 164, 0, -90, 0, 0, 0, 200, 0, -36, 0, 0, 0, -168, 0, -158, 0, 0, 0, -74, 0, 176, 0, 0, 0, 120, 0, -24, 0, 0, 0, -96, 0, -48, 0, 0, 0, 232, 0, -56, 0, 0, 0, 34, 0, -92, 0, 0, 0, -82, 0, 144, 0, 0, 0, 158, 0, 42, 0, 0, 0, 16, 0, -120, 0, 0, 0, 2, 0, 88, 0, 0, 0, 108, 0, 30, 0, 0, 0, -150, 0, 238, 0, 0, 0, -56, 0, -71, 0, 0, 0, 74, 0, 60, 0, 0, 0, 30, 0, -82, 0, 0, 0, -142, 0, -68, 0, 0, 0, -76, 0, -36, 0, 0, 0, -68, 0, 8, 0, 0, 0, -164, 0, -22, 0, 0, 0, -72, 0, 164, 0, 0, 0, 140, 0, 44, 0, 0, 0, -44, 0, -100, 0, 0, 0, -16, 0, 72, 0, 0, 0, 52, 0, 72, 0, 0, 0, 168, 0, -132, 0, 0, 0, 156, 0, -104, 0, 0, 0, 156, 0, 7, 0, 0, 0, -32, 0, -356, 0, 0, 0, 156, 0, 32, 0, 0, 0, -2, 0, -12, 0, 0, 0, -232, 0, 8, 0, 0, 0, -104, 0, 38, 0, 0, 0, 44, 0, 99, 0, 0, 0, 148, 0, 96, 0, 0, 0, -34, 0, -228, 0, 0, 0, -78, 0, 160, 0, 0, 0, -244, 0, 96, 0, 0, 0, -92, 0, -100, 0, 0, 0, -40, 0, 166, 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: 981628
    {'conductor': 3, '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': False, 'source_label': '2664.2.a.c', 'source_level': 2664, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '296.2.a.b', 'target_level': 296, 'twist_class_label': '296.2.a.b', 'twist_class_level': 296, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 981629
    {'conductor': 12, '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': False, 'source_label': '2664.2.a.c', 'source_level': 2664, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '592.2.a.d', 'target_level': 592, 'twist_class_label': '296.2.a.b', 'twist_class_level': 296, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 981630
    {'conductor': 24, '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': False, 'source_label': '2664.2.a.c', 'source_level': 2664, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '2368.2.a.f', 'target_level': 2368, 'twist_class_label': '296.2.a.b', 'twist_class_level': 296, 'twisting_char_label': '24.f', 'twisting_char_orbit': 6, 'weight': 2}
  • id: 981631
    {'conductor': 24, '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': False, 'source_label': '2664.2.a.c', 'source_level': 2664, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 11, 'target_is_minimal': False, 'target_label': '2368.2.a.k', 'target_level': 2368, 'twist_class_label': '296.2.a.b', 'twist_class_level': 296, 'twisting_char_label': '24.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 981632
    {'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': False, 'source_label': '2664.2.a.c', 'source_level': 2664, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '2664.2.a.c', 'target_level': 2664, 'twist_class_label': '296.2.a.b', 'twist_class_level': 296, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 981633
    {'conductor': 4, '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': False, 'source_label': '2664.2.a.c', 'source_level': 2664, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 13, 'target_is_minimal': False, 'target_label': '5328.2.a.m', 'target_level': 5328, 'twist_class_label': '296.2.a.b', 'twist_class_level': 296, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 981634
    {'conductor': 15, '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': False, 'source_label': '2664.2.a.c', 'source_level': 2664, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 7, 'target_is_minimal': False, 'target_label': '7400.2.a.g', 'target_level': 7400, 'twist_class_label': '296.2.a.b', 'twist_class_level': 296, 'twisting_char_label': '15.d', 'twisting_char_orbit': 4, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2783575
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 9007199288298088, 'p': 2}
  • id: 2783576
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 9007199288298088, 'p': 3}
  • id: 2783577
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 9007199288298088, 'p': 5}
  • id: 2783578
    {'charpoly_factorization': [[[3, 1], 1]], 'hecke_orbit_code': 9007199288298088, 'p': 7}
  • id: 2783579
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 9007199288298088, 'p': 11}
  • id: 2783580
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 9007199288298088, 'p': 13}
  • id: 2783581
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 9007199288298088, 'p': 17}
  • id: 2783582
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 9007199288298088, 'p': 19}
  • id: 2783583
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 9007199288298088, 'p': 23}
  • id: 2783584
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 9007199288298088, 'p': 29}
  • id: 2783585
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 9007199288298088, 'p': 31}
  • id: 2783586
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 9007199288298088, 'p': 37}
  • id: 2783587
    {'charpoly_factorization': [[[7, 1], 1]], 'hecke_orbit_code': 9007199288298088, 'p': 41}
  • id: 2783588
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 9007199288298088, 'p': 43}
  • id: 2783589
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 9007199288298088, 'p': 47}
  • id: 2783590
    {'charpoly_factorization': [[[9, 1], 1]], 'hecke_orbit_code': 9007199288298088, 'p': 53}
  • id: 2783591
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 9007199288298088, 'p': 59}
  • id: 2783592
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 9007199288298088, 'p': 61}
  • id: 2783593
    {'charpoly_factorization': [[[-12, 1], 1]], 'hecke_orbit_code': 9007199288298088, 'p': 67}
  • id: 2783594
    {'charpoly_factorization': [[[-5, 1], 1]], 'hecke_orbit_code': 9007199288298088, 'p': 71}
  • id: 2783595
    {'charpoly_factorization': [[[13, 1], 1]], 'hecke_orbit_code': 9007199288298088, 'p': 73}
  • id: 2783596
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 9007199288298088, 'p': 79}
  • id: 2783597
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 9007199288298088, 'p': 83}
  • id: 2783598
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 9007199288298088, 'p': 89}
  • id: 2783599
    {'charpoly_factorization': [[[12, 1], 1]], 'hecke_orbit_code': 9007199288298088, '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': '2664.2.a.c', 'level': 2664, 'portrait': 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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: 26606485
    {'hecke_orbit_code': 9007199288298088, 'n': 1, 'trace_an': 1}
  • id: 26606486
    {'hecke_orbit_code': 9007199288298088, 'n': 2, 'trace_an': 0}
  • id: 26606487
    {'hecke_orbit_code': 9007199288298088, 'n': 3, 'trace_an': 0}
  • id: 26606488
    {'hecke_orbit_code': 9007199288298088, 'n': 4, 'trace_an': 0}
  • id: 26606489
    {'hecke_orbit_code': 9007199288298088, 'n': 5, 'trace_an': 0}
  • id: 26606490
    {'hecke_orbit_code': 9007199288298088, 'n': 6, 'trace_an': 0}
  • id: 26606491
    {'hecke_orbit_code': 9007199288298088, 'n': 7, 'trace_an': -3}
  • id: 26606492
    {'hecke_orbit_code': 9007199288298088, 'n': 8, 'trace_an': 0}
  • id: 26606493
    {'hecke_orbit_code': 9007199288298088, 'n': 9, 'trace_an': 0}
  • id: 26606494
    {'hecke_orbit_code': 9007199288298088, 'n': 10, 'trace_an': 0}
  • id: 26606495
    {'hecke_orbit_code': 9007199288298088, 'n': 11, 'trace_an': 3}
  • id: 26606496
    {'hecke_orbit_code': 9007199288298088, 'n': 12, 'trace_an': 0}
  • id: 26606497
    {'hecke_orbit_code': 9007199288298088, 'n': 13, 'trace_an': 0}
  • id: 26606498
    {'hecke_orbit_code': 9007199288298088, 'n': 14, 'trace_an': 0}
  • id: 26606499
    {'hecke_orbit_code': 9007199288298088, 'n': 15, 'trace_an': 0}
  • id: 26606500
    {'hecke_orbit_code': 9007199288298088, 'n': 16, 'trace_an': 0}
  • id: 26606501
    {'hecke_orbit_code': 9007199288298088, 'n': 17, 'trace_an': -2}
  • id: 26606502
    {'hecke_orbit_code': 9007199288298088, 'n': 18, 'trace_an': 0}
  • id: 26606503
    {'hecke_orbit_code': 9007199288298088, 'n': 19, 'trace_an': -2}
  • id: 26606504
    {'hecke_orbit_code': 9007199288298088, 'n': 20, 'trace_an': 0}
  • id: 26606505
    {'hecke_orbit_code': 9007199288298088, 'n': 21, 'trace_an': 0}
  • id: 26606506
    {'hecke_orbit_code': 9007199288298088, 'n': 22, 'trace_an': 0}
  • id: 26606507
    {'hecke_orbit_code': 9007199288298088, 'n': 23, 'trace_an': 6}
  • id: 26606508
    {'hecke_orbit_code': 9007199288298088, 'n': 24, 'trace_an': 0}
  • id: 26606509
    {'hecke_orbit_code': 9007199288298088, 'n': 25, 'trace_an': -5}
  • id: 26606510
    {'hecke_orbit_code': 9007199288298088, 'n': 26, 'trace_an': 0}
  • id: 26606511
    {'hecke_orbit_code': 9007199288298088, 'n': 27, 'trace_an': 0}
  • id: 26606512
    {'hecke_orbit_code': 9007199288298088, 'n': 28, 'trace_an': 0}
  • id: 26606513
    {'hecke_orbit_code': 9007199288298088, 'n': 29, 'trace_an': 2}
  • id: 26606514
    {'hecke_orbit_code': 9007199288298088, 'n': 30, 'trace_an': 0}
  • id: 26606515
    {'hecke_orbit_code': 9007199288298088, 'n': 31, 'trace_an': -4}
  • id: 26606516
    {'hecke_orbit_code': 9007199288298088, 'n': 32, 'trace_an': 0}
  • id: 26606517
    {'hecke_orbit_code': 9007199288298088, 'n': 33, 'trace_an': 0}
  • id: 26606518
    {'hecke_orbit_code': 9007199288298088, 'n': 34, 'trace_an': 0}
  • id: 26606519
    {'hecke_orbit_code': 9007199288298088, 'n': 35, 'trace_an': 0}
  • id: 26606520
    {'hecke_orbit_code': 9007199288298088, 'n': 36, 'trace_an': 0}
  • id: 26606521
    {'hecke_orbit_code': 9007199288298088, 'n': 37, 'trace_an': 1}
  • id: 26606522
    {'hecke_orbit_code': 9007199288298088, 'n': 38, 'trace_an': 0}
  • id: 26606523
    {'hecke_orbit_code': 9007199288298088, 'n': 39, 'trace_an': 0}
  • id: 26606524
    {'hecke_orbit_code': 9007199288298088, 'n': 40, 'trace_an': 0}
  • id: 26606525
    {'hecke_orbit_code': 9007199288298088, 'n': 41, 'trace_an': -7}
  • id: 26606526
    {'hecke_orbit_code': 9007199288298088, 'n': 42, 'trace_an': 0}
  • id: 26606527
    {'hecke_orbit_code': 9007199288298088, 'n': 43, 'trace_an': 4}
  • id: 26606528
    {'hecke_orbit_code': 9007199288298088, 'n': 44, 'trace_an': 0}
  • id: 26606529
    {'hecke_orbit_code': 9007199288298088, 'n': 45, 'trace_an': 0}
  • id: 26606530
    {'hecke_orbit_code': 9007199288298088, 'n': 46, 'trace_an': 0}
  • id: 26606531
    {'hecke_orbit_code': 9007199288298088, 'n': 47, 'trace_an': -1}
  • id: 26606532
    {'hecke_orbit_code': 9007199288298088, 'n': 48, 'trace_an': 0}
  • id: 26606533
    {'hecke_orbit_code': 9007199288298088, 'n': 49, 'trace_an': 2}
  • id: 26606534
    {'hecke_orbit_code': 9007199288298088, 'n': 50, 'trace_an': 0}
  • id: 26606535
    {'hecke_orbit_code': 9007199288298088, 'n': 51, 'trace_an': 0}
  • id: 26606536
    {'hecke_orbit_code': 9007199288298088, 'n': 52, 'trace_an': 0}
  • id: 26606537
    {'hecke_orbit_code': 9007199288298088, 'n': 53, 'trace_an': -9}
  • id: 26606538
    {'hecke_orbit_code': 9007199288298088, 'n': 54, 'trace_an': 0}
  • id: 26606539
    {'hecke_orbit_code': 9007199288298088, 'n': 55, 'trace_an': 0}
  • id: 26606540
    {'hecke_orbit_code': 9007199288298088, 'n': 56, 'trace_an': 0}
  • id: 26606541
    {'hecke_orbit_code': 9007199288298088, 'n': 57, 'trace_an': 0}
  • id: 26606542
    {'hecke_orbit_code': 9007199288298088, 'n': 58, 'trace_an': 0}
  • id: 26606543
    {'hecke_orbit_code': 9007199288298088, 'n': 59, 'trace_an': -8}
  • id: 26606544
    {'hecke_orbit_code': 9007199288298088, 'n': 60, 'trace_an': 0}
  • id: 26606545
    {'hecke_orbit_code': 9007199288298088, 'n': 61, 'trace_an': -4}
  • id: 26606546
    {'hecke_orbit_code': 9007199288298088, 'n': 62, 'trace_an': 0}
  • id: 26606547
    {'hecke_orbit_code': 9007199288298088, 'n': 63, 'trace_an': 0}
  • id: 26606548
    {'hecke_orbit_code': 9007199288298088, 'n': 64, 'trace_an': 0}
  • id: 26606549
    {'hecke_orbit_code': 9007199288298088, 'n': 65, 'trace_an': 0}
  • id: 26606550
    {'hecke_orbit_code': 9007199288298088, 'n': 66, 'trace_an': 0}
  • id: 26606551
    {'hecke_orbit_code': 9007199288298088, 'n': 67, 'trace_an': 12}
  • id: 26606552
    {'hecke_orbit_code': 9007199288298088, 'n': 68, 'trace_an': 0}
  • id: 26606553
    {'hecke_orbit_code': 9007199288298088, 'n': 69, 'trace_an': 0}
  • id: 26606554
    {'hecke_orbit_code': 9007199288298088, 'n': 70, 'trace_an': 0}
  • id: 26606555
    {'hecke_orbit_code': 9007199288298088, 'n': 71, 'trace_an': 5}
  • id: 26606556
    {'hecke_orbit_code': 9007199288298088, 'n': 72, 'trace_an': 0}
  • id: 26606557
    {'hecke_orbit_code': 9007199288298088, 'n': 73, 'trace_an': -13}
  • id: 26606558
    {'hecke_orbit_code': 9007199288298088, 'n': 74, 'trace_an': 0}
  • id: 26606559
    {'hecke_orbit_code': 9007199288298088, 'n': 75, 'trace_an': 0}
  • id: 26606560
    {'hecke_orbit_code': 9007199288298088, 'n': 76, 'trace_an': 0}
  • id: 26606561
    {'hecke_orbit_code': 9007199288298088, 'n': 77, 'trace_an': -9}
  • id: 26606562
    {'hecke_orbit_code': 9007199288298088, 'n': 78, 'trace_an': 0}
  • id: 26606563
    {'hecke_orbit_code': 9007199288298088, 'n': 79, 'trace_an': -10}
  • id: 26606564
    {'hecke_orbit_code': 9007199288298088, 'n': 80, 'trace_an': 0}
  • id: 26606565
    {'hecke_orbit_code': 9007199288298088, 'n': 81, 'trace_an': 0}
  • id: 26606566
    {'hecke_orbit_code': 9007199288298088, 'n': 82, 'trace_an': 0}
  • id: 26606567
    {'hecke_orbit_code': 9007199288298088, 'n': 83, 'trace_an': 1}
  • id: 26606568
    {'hecke_orbit_code': 9007199288298088, 'n': 84, 'trace_an': 0}
  • id: 26606569
    {'hecke_orbit_code': 9007199288298088, 'n': 85, 'trace_an': 0}
  • id: 26606570
    {'hecke_orbit_code': 9007199288298088, 'n': 86, 'trace_an': 0}
  • id: 26606571
    {'hecke_orbit_code': 9007199288298088, 'n': 87, 'trace_an': 0}
  • id: 26606572
    {'hecke_orbit_code': 9007199288298088, 'n': 88, 'trace_an': 0}
  • id: 26606573
    {'hecke_orbit_code': 9007199288298088, 'n': 89, 'trace_an': 2}
  • id: 26606574
    {'hecke_orbit_code': 9007199288298088, 'n': 90, 'trace_an': 0}
  • id: 26606575
    {'hecke_orbit_code': 9007199288298088, 'n': 91, 'trace_an': 0}
  • id: 26606576
    {'hecke_orbit_code': 9007199288298088, 'n': 92, 'trace_an': 0}
  • id: 26606577
    {'hecke_orbit_code': 9007199288298088, 'n': 93, 'trace_an': 0}
  • id: 26606578
    {'hecke_orbit_code': 9007199288298088, 'n': 94, 'trace_an': 0}
  • id: 26606579
    {'hecke_orbit_code': 9007199288298088, 'n': 95, 'trace_an': 0}
  • id: 26606580
    {'hecke_orbit_code': 9007199288298088, 'n': 96, 'trace_an': 0}
  • id: 26606581
    {'hecke_orbit_code': 9007199288298088, 'n': 97, 'trace_an': -12}
  • id: 26606582
    {'hecke_orbit_code': 9007199288298088, 'n': 98, 'trace_an': 0}
  • id: 26606583
    {'hecke_orbit_code': 9007199288298088, 'n': 99, 'trace_an': 0}
  • id: 26606584
    {'hecke_orbit_code': 9007199288298088, 'n': 100, 'trace_an': 0}