Newform data - 7440.2.a.s

Formats: - HTML - YAML - JSON - 2026-08-13T18:23:38.072746

• 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': 29760, 'analytic_conductor': 59.4086991038326, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [3, -1], [5, 1], [31, -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': [7440, 1, [6511, 1861, 4961, 2977, 5521], [1, 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': [[7, [-1, 1]], [11, [-3, 1]], [13, [6, 1]], [17, [4, 1]], [19, [1, 1]]], 'hecke_orbit': 19, 'hecke_orbit_code': 81064793326230800, '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': '7440.2.a.s', 'level': 7440, '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, 5, 31], 'level_radical': 930, 'minimal_twist': '3720.2.a.b', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+q^{3}-q^{5}+q^{7}+q^{9}+3q^{11}-6q^{13}+\\cdots', 'related_objects': ['EllipticCurve/Q/7440/s'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '7440.2.a', 'trace_display': [0, 1, -1, 1], 'trace_hash': 1716765085677167743, 'trace_moments': [0, {'__RealLiteral__': 0, 'data': '1.011', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '2.075', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '5.283', 'prec': 14}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.014', 'prec': 7}, 'traces': [1, 0, 1, 0, -1, 0, 1, 0, 1, 0, 3, 0, -6, 0, -1, 0, -4, 0, -1, 0, 1, 0, 3, 0, 1, 0, 1, 0, 8, 0, 1, 0, 3, 0, -1, 0, -12, 0, -6, 0, 0, 0, -9, 0, -1, 0, 2, 0, -6, 0, -4, 0, -1, 0, -3, 0, -1, 0, -6, 0, 10, 0, 1, 0, 6, 0, -2, 0, 3, 0, -3, 0, 1, 0, 1, 0, 3, 0, 7, 0, 1, 0, -12, 0, 4, 0, 8, 0, -5, 0, -6, 0, 1, 0, 1, 0, 2, 0, 3, 0, 15, 0, 8, 0, -1, 0, -19, 0, -4, 0, -12, 0, -17, 0, -3, 0, -6, 0, -4, 0, -2, 0, 0, 0, -1, 0, -4, 0, -9, 0, 6, 0, -1, 0, -1, 0, -14, 0, 10, 0, 2, 0, -18, 0, -8, 0, -6, 0, -3, 0, -8, 0, -4, 0, -1, 0, 5, 0, -1, 0, 3, 0, -14, 0, -3, 0, -13, 0, 23, 0, -1, 0, -14, 0, 1, 0, -6, 0, -20, 0, -17, 0, 10, 0, 12, 0, -12, 0, 1, 0, -8, 0, 26, 0, 6, 0, 10, 0, -1, 0, -2, 0, 8, 0, 0, 0, 3, 0, -3, 0, -1, 0, -3, 0, 9, 0, 1, 0, 1, 0, 24, 0, 22, 0, 1, 0, -23, 0, -1, 0, 3, 0, 1, 0, -2, 0, 7, 0, -12, 0, 10, 0, 1, 0, 6, 0, 6, 0, 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0, 1, 0, -27, 0, -24, 0, 25, 0, -3, 0, -9, 0, 35, 0, 15, 0, -18, 0, 12, 0, 20, 0, 12, 0, -23, 0, 54, 0, 23, 0, -2, 0, -54, 0, 36, 0, -16, 0, 66, 0, -18, 0, -36, 0, -1, 0, 42, 0, 9, 0, -60, 0, 3, 0, 1, 0, 32, 0, -18, 0, -18, 0, -12, 0, 8, 0, -32, 0, 45, 0, -40, 0, 0, 0, -6, 0, 6, 0, -3, 0, 57, 0, 20, 0, 14, 0, 6, 0, -51, 0, -1, 0, 14, 0, -14, 0, 21, 0, -24, 0, -7, 0, 12, 0, -11, 0, 85, 0, 2, 0, 84, 0, -90, 0, -1, 0, 36, 0, -36, 0, 18, 0, 2, 0, 4, 0, 14, 0, -48, 0, -10, 0, 30, 0, 14, 0, 66, 0, 13, 0, 30, 0, 5, 0, 6, 0, 12, 0, -30, 0, -18, 0, -26, 0, 0, 0, -4, 0, -20, 0, -68, 0, 3, 0, -19, 0, -48, 0, -2, 0, 36, 0, -29, 0, 20, 0, -25, 0, -12, 0, -18, 0, 19, 0, 18, 0, 8, 0, -16, 0, -12, 0, 4, 0, -18, 0, 70, 0, -9, 0, -21, 0, 86, 0, 17, 0, 18, 0, 95, 0, 52, 0, -30, 0, -4, 0, 15, 0, 2, 0, 22, 0, 20, 0, -14, 0, -12, 0, -36, 0, 0, 0, 6, 0, -10, 0, 0, 0, -71, 0, 6, 0, -87, 0, 8, 0, 14, 0, -5, 0, -12, 0, 12, 0, -7, 0, 55, 0, 18, 0, 56, 0, -12, 0, -12, 0, 54, 0, -27, 0, 8, 0, -6, 0, -3, 0, -11, 0, 24, 0, 14, 0, 6, 0, -54, 0, 74, 0, -32, 0, 10, 0, -35, 0, 12, 0, 27, 0, -52, 0, 36, 0, 16, 0, -36, 0, -2, 0, -3, 0, -6, 0, 40, 0, -17, 0, 21, 0, 0, 0, 3, 0, 18, 0, -1, 0, 0, 0, 52, 0, -26, 0, 16, 0, 13, 0, -6, 0, -36, 0, 60, 0, 12, 0, 34, 0, -80, 0, 20, 0, -47, 0, -16, 0, 8, 0, 20, 0, 8, 0, 24, 0, -92, 0, -3, 0, -14, 0, -90, 0, 18, 0, 1, 0, -32, 0, -81, 0, -19, 0, 36, 0, 24, 0, -26, 0, 43, 0, -132, 0, 36, 0, -34, 0, 12, 0, 4, 0, -66, 0, 0, 0, 42, 0, 3, 0, -92, 0, 10, 0, -12, 0, -84, 0, -6, 0, -39, 0, 120, 0, 42, 0, -16, 0, 0, 0, -15, 0, -96, 0, 56, 0, -4, 0, 1, 0, 22, 0, -24, 0, 138, 0, -40, 0, -10, 0, -51, 0, 54, 0, 2, 0, 81, 0, 6, 0, -27, 0, 47, 0, 8, 0, -17, 0, -4, 0, 6, 0, 12, 0, 15, 0, -5, 0, 1, 0, 64, 0, -60, 0, 26, 0, 0, 0, 33, 0, -12, 0, 46, 0, 15, 0, -18, 0, 38, 0, 2, 0, 24, 0, 8, 0, 18, 0, 2, 0, 0, 0, -8, 0, 1, 0, -50, 0, -2, 0, -58, 0, -6, 0, -29, 0, 14, 0, 47, 0, 44, 0, -13, 0, 39, 0, 80, 0, -8, 0, -24, 0, -58, 0, -17, 0, 27, 0, 12, 0, -36, 0, -3, 0, -77, 0, 13, 0, 14, 0, -45, 0, 3, 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], [-1], [0], [1], [0], [1], [0], [3], [0], [-6], [0], [-1], [0], [-4], [0], [-1], [0], [1], [0], [3], [0], [1], [0], [1], [0], [8], [0], [1], [0], [3], [0], [-1], [0], [-12], [0], [-6], [0], [0], [0], [-9], [0], [-1], [0], [2], [0], [-6], [0], [-4], [0], [-1], [0], [-3], [0], [-1], [0], [-6], [0], [10], [0], [1], [0], [6], [0], [-2], [0], [3], [0], [-3], [0], [1], [0], [1], [0], [3], [0], [7], [0], [1], [0], [-12], [0], [4], [0], [8], [0], [-5], [0], [-6], [0], [1], [0], [1], [0], [2], [0], [3], [0]], 'ap': [[0], [1], [-1], [1], [3], [-6], [-4], [-1], [3], [8], [1], [-12], [0], [-9], [2], [-1], [-6], [10], [-2], [-3], [1], [7], [-12], [-5], [2], [15], [8], [-19], [-4], [-17], [-4], [6], [-14], [10], [-3], [-8], [5], [-14], [-13], [-14], [-20], [-17], [-8], [26], [10], [-1], [-1], [22], [-23], [-1], [1], [-12], [10], [-4], [7], [8], [18], [5], [-8], [12], [-16], [14], [12], [-32], [-2], [12], [12], [14], [-12], [0], [-14], [-27], [-18], [-7], [5], [36], [-30], [-27], [27], [-16], [-16], [22], [0], [-29], [26], [-21], [-18], [26], [-12], [0], [32], [9], [28], [-13], [-28], [24], [-36], [14], [11], [18], [14], [3], [36], [-13], [-34], [32], [0], [-6], [-33], [-38], [-47], [-14], [43], [18], [-15], [22], [29], [-3], [-18], [0], [22], [-22], [15], [-39], [43], [-45], [13], [-18], [17], [-6], [0], [-35], [22], [-50], [39], [-47], [21], [-13], [-46], [19], [-49], [-4], [26], [48], [-41], [25], [9], [-18], [-32], [-3], [18], [30], [13], [-18], [52], [20], [14], [-11], [36], [40], [-26], [20], [36], [42], [42], [-24], [-17], [26], [-58], [-13], [-36], [13], [40], [32], [-22], [1], [4], [15], [47], [-7], [-64], [25], [46], [-26], [54], [30], [-3], [-44], [20], [55], [61], [-41], [-36], [60], [-32], [8], [50], [33], [33], [14], [-21], [-7], [-19], [-11], [-54], [58], [64], [-6], [28], [28], [-1], [20], [48], [-57], [6], [71], [-48], [-42], [48], [62], [25], [24], [-24], [-23], [33], [23], [6], [12], [34], [-10], [-30], [28], [-46], [7], [68], [-19], [5], [-22], [33], [-16], [24], [26], [-14], [50], [-44], [15], [34], [53], [-48], [-36], [-7], [6], [17], [7], [-24], [-30], [70], [-65], [-26], [24], [-25], [-62], [-17], [-19], [18], [5], [-33], [20], [50], [-76], [36], [4], [73], [43], [14], [-48], [-69], [-66], [-10], [-57], [4], [66], [54], [62], [-46], [6], [81], [-26], [-4], [30], [61], [-47], [-52], [-82], [64], [-60], [-44], [18], [9], [33], [50], [-87], [-40], [-7], [-42], [52], [-70], [82], [-18], [34], [24], [16], [-82], [-41], [-22], [-12], [12], [0], [8], [-55], [-20], [79], [1], [-43], [-33], [-8], [29], [46], [36], [23], [-22], [-10], [30], [-66], [-25], [63], [-22], [-51], [73], [-28], [28], [42], [-20], [-73], [-78], [-42], [-40], [-83], [46], [-48], [-68], [-65], [15], [-46], [14], [78], [70], [11], [-72], [30], [71], [7], [91], [-18], [-70], [49], [2], [-86], [-9], [20], [23], [-54], [66], [-18], [42], [45], [57], [20], [-24], [85], [84], [2], [66], [12], [-30], [-26], [-68], [-48], [-29], [-25], [-12], [19], [-16], [70], [-21], [86], [95], [2], [22], [0], [-71], [-87], [55], [54], [24], [14], [74], [10], [-35], [-3], [18], [0], [16], [60], [-80], [-47], [-90], [-81], [43], [-34], [-66], [-92], [-39], [-96], [-40], [-51], [81], [47], [8], [46], [15], [8], [-8], [-50], [44], [39], [-58], [-77], [-45]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 81064793326230800, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '7440.2.a.s', 'level': 7440, 'maxp': 3067, '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': [7, 8, 9, 6, 8, 7, 6, 9, 8, 7, 6, 9, 7, 8, 9, 6], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3], 'ALdims_old': [82, 90, 92, 85, 87, 90, 88, 83, 91, 82, 84, 91, 89, 86, 84, 89], 'Nk2': 29760, 'analytic_conductor': 59.4086991038326, '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': [7440, 1, [6511, 1861, 4961, 2977, 5521], [1, 1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1513, 'dim': 120, 'eis_dim': 47, 'eis_new_dim': 0, 'hecke_cutter_primes': [7, 11, 13, 17, 19], 'hecke_orbit_code': 33561872, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 5, 5, 5], 'label': '7440.2.a', 'level': 7440, '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, 5, 31], 'level_radical': 930, 'mf_dim': 1560, 'mf_new_dim': 120, 'num_forms': 58, 'plus_dim': 52, 'prim_orbit_index': 1, 'relative_dim': 120, 'sturm_bound': 3072, 'trace_bound': 17, 'trace_display': [0, 0, 0, -8], 'traces': [120, 0, 0, 0, 0, 0, -8, 0, 120, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 120, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, -16, 0, -16, 0, 0, 0, 0, 0, 104, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, -16, 0, 8, 0, 0, 0, 32, 0, 0, 0, 0, 0, 32, 0, -16, 0, 120, 0, 48, 0, 0, 0, -24, 0, -16, 0, -48, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, -40, 0, 0, 0, -96, 0, 32, 0, 0, 0, 64, 0, 0, 0, 0, 0, -80, 0, 168, 0, -48, 0, 0, 0, -16, 0, 0, 0, 48, 0, -32, 0, 0, 0, 64, 0, -80, 0, -32, 0, 0, 0, 0, 0, 0, 0, 32, 0, -64, 0, 0, 0, 0, 0, -32, 0, 0, 0, 64, 0, 8, 0, 0, 0, 16, 0, 136, 0, 0, 0, 0, 0, -8, 0, 0, 0, 32, 0, -32, 0, -32, 0, 16, 0, -64, 0, 0, 0, 80, 0, 64, 0, 24, 0, 32, 0, 32, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 80, 0, -32, 0, 0, 0, 0, 0, -64, 0, 0, 0, 96, 0, 120, 0, 48, 0, 0, 0, 0, 0, 64, 0, 24, 0, 0, 0, 32, 0, 16, 0, 0, 0, 0, 0, -144, 0, 0, 0, 144, 0, 32, 0, -24, 0, 0, 0, -16, 0, 32, 0, 80, 0, -16, 0, 24, 0, 0, 0, 48, 0, 0, 0, -16, 0, 32, 0, 0, 0, 48, 0, 8, 0, 0, 0, 240, 0, 88, 0, -48, 0, 0, 0, 16, 0, 0, 0, 48, 0, 0, 0, 48, 0, -32, 0, 120, 0, 0, 0, 80, 0, -32, 0, 0, 0, 32, 0, 64, 0, -32, 0, 192, 0, 0, 0, -64, 0, -96, 0, 64, 0, 32, 0, 48, 0, -32, 0, 48, 0, 0, 0, 32, 0, 0, 0, 16, 0, 96, 0, 0, 0, -64, 0, 0, 0, 64, 0, -128, 0, 40, 0, 0, 0, 0, 0, 48, 0, -16, 0, 224, 0, 112, 0, 0, 0, -64, 0, -144, 0, -16, 0, 240, 0, 0, 0, -16, 0, -32, 0, 192, 0, -32, 0, -64, 0, 16, 0, -48, 0, 16, 0, 24, 0, 0, 0, 48, 0, -112, 0, 0, 0, 96, 0, 0, 0, -32, 0, 192, 0, 144, 0, 0, 0, 0, 0, 64, 0, 96, 0, 32, 0, -64, 0, 24, 0, 96, 0, -32, 0, 104, 0, -32, 0, 0, 0, 0, 0, 48, 0, 192, 0, -16, 0, 96, 0, 96, 0, 0, 0, 160, 0, 32, 0, 0, 0, 96, 0, 64, 0, 48, 0, 96, 0, 0, 0, 32, 0, 144, 0, -160, 0, 48, 0, 0, 0, -32, 0, -32, 0, -32, 0, 112, 0, 0, 0, -32, 0, 224, 0, 0, 0, 112, 0, -32, 0, -64, 0, -64, 0, 48, 0, 0, 0, 0, 0, 96, 0, 144, 0, -80, 0, 48, 0, 0, 0, 0, 0, 232, 0, 0, 0, 96, 0, -8, 0, 0, 0, -96, 0, -48, 0, -48, 0, 0, 0, 104, 0, 0, 0, 112, 0, -128, 0, 24, 0, -96, 0, 0, 0, -64, 0, 336, 0, 0, 0, -8, 0, 16, 0, -128, 0, 64, 0, -16, 0, -128, 0, -96, 0, 96, 0, 80, 0, -16, 0, -112, 0, 0, 0, 96, 0, -160, 0, 48, 0, -16, 0, -320, 0, -80, 0, 8, 0, 0, 0, -8, 0, 32, 0, 32, 0, -96, 0, 0, 0, 0, 0, -96, 0, 0, 0, -208, 0, 120, 0, 144, 0, -96, 0, 272, 0, -96, 0, -64, 0, 160, 0, 32, 0, 16, 0, -160, 0, 0, 0, 64, 0, 32, 0, 0, 0, -128, 0, -48, 0, 0, 0, -64, 0, -80, 0, 48, 0, 64, 0, -16, 0, -32, 0, -16, 0, 32, 0, 0, 0, -160, 0, 48, 0, 0, 0, 192, 0, -32, 0, -144, 0, -32, 0, 96, 0, 32, 0, -64, 0, -96, 0, 48, 0, 128, 0, 144, 0, 0, 0, -64, 0, 0, 0, -16, 0, 0, 0, 48, 0, 0, 0, 48, 0, -32, 0, -48, 0, 32, 0, 8, 0, 120, 0, -32, 0, 112, 0, 0, 0, 128, 0, 80, 0, 96, 0, -144, 0, 0, 0, 48, 0, -128, 0, -128, 0, 0, 0, 0, 0, 64, 0, 80, 0, -48, 0, -80, 0, 0, 0, 528, 0, -144, 0, 144, 0, 96, 0, 0, 0, -64, 0, 16, 0, 96, 0, -24, 0, -16, 0, -48, 0, 96, 0, -192, 0, -64, 0, 24, 0, -160, 0, 48, 0, -16, 0, -16, 0, 0, 0, 40, 0, 48, 0, 224, 0, 112, 0, 96, 0, -64, 0, -48, 0, -160, 0, 64, 0, 0, 0, -144, 0, -160, 0, -96, 0, -192, 0, 48, 0, 0, 0, 16, 0, 56, 0, -64, 0, -64, 0, -152, 0, -32, 0, -240, 0, 128, 0, 0, 0, -224, 0, 160, 0, -32, 0, 96, 0, 80, 0, 0, 0, -64, 0, -240, 0, 0, 0, 0, 0, 64, 0, 48, 0, -48, 0, 16, 0, -32, 0, -32, 0, -32, 0, -16, 0, -192, 0, 48, 0, -96, 0, 0, 0, 48, 0, -64, 0, -32, 0, -120, 0, 0, 0, 16, 0, -256, 0, 48, 0, -224, 0, -16, 0, 0, 0, 128, 0, 32, 0, -40, 0, -112, 0, -144, 0, 0, 0, -112, 0, -160, 0, -80, 0, 32, 0, -80, 0, 0, 0, 16, 0, -192, 0, 80, 0, 0, 0, 96, 0, 32, 0, 416, 0, 120, 0, -96, 0, 0, 0, -64, 0, -64, 0, 368, 0, -96, 0, 0, 0, 32, 0, 144, 0, 32, 0, -192, 0, -48, 0, -48, 0, -160, 0, 80, 0, -64, 0, 0, 0, -176, 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: 1349062
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 19, 'source_is_minimal': False, 'source_label': '7440.2.a.s', 'source_level': 7440, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '3720.2.a.b', 'target_level': 3720, 'twist_class_label': '3720.2.a.b', 'twist_class_level': 3720, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1349063
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 19, 'source_is_minimal': False, 'source_label': '7440.2.a.s', 'source_level': 7440, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 19, 'target_is_minimal': False, 'target_label': '7440.2.a.s', 'target_level': 7440, 'twist_class_label': '3720.2.a.b', 'twist_class_level': 3720, '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: 4474125
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 81064793326230800, 'p': 2}
  • id: 4474126
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 81064793326230800, 'p': 3}
  • id: 4474127
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 81064793326230800, 'p': 5}
  • id: 4474128
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 81064793326230800, 'p': 7}
  • id: 4474129
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 81064793326230800, 'p': 11}
  • id: 4474130
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 81064793326230800, 'p': 13}
  • id: 4474131
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 81064793326230800, 'p': 17}
  • id: 4474132
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 81064793326230800, 'p': 19}
  • id: 4474133
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 81064793326230800, 'p': 23}
  • id: 4474134
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 81064793326230800, 'p': 29}
  • id: 4474135
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 81064793326230800, 'p': 31}
  • id: 4474136
    {'charpoly_factorization': [[[12, 1], 1]], 'hecke_orbit_code': 81064793326230800, 'p': 37}
  • id: 4474137
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 81064793326230800, 'p': 41}
  • id: 4474138
    {'charpoly_factorization': [[[9, 1], 1]], 'hecke_orbit_code': 81064793326230800, 'p': 43}
  • id: 4474139
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 81064793326230800, 'p': 47}
  • id: 4474140
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 81064793326230800, 'p': 53}
  • id: 4474141
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 81064793326230800, 'p': 59}
  • id: 4474142
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 81064793326230800, 'p': 61}
  • id: 4474143
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 81064793326230800, 'p': 67}
  • id: 4474144
    {'charpoly_factorization': [[[3, 1], 1]], 'hecke_orbit_code': 81064793326230800, 'p': 71}
  • id: 4474145
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 81064793326230800, 'p': 73}
  • id: 4474146
    {'charpoly_factorization': [[[-7, 1], 1]], 'hecke_orbit_code': 81064793326230800, 'p': 79}
  • id: 4474147
    {'charpoly_factorization': [[[12, 1], 1]], 'hecke_orbit_code': 81064793326230800, 'p': 83}
  • id: 4474148
    {'charpoly_factorization': [[[5, 1], 1]], 'hecke_orbit_code': 81064793326230800, 'p': 89}
  • id: 4474149
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 81064793326230800, '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': 19, 'label': '7440.2.a.s', 'level': 7440, '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: 63235003
    {'hecke_orbit_code': 81064793326230800, 'n': 1, 'trace_an': 1}
  • id: 63235004
    {'hecke_orbit_code': 81064793326230800, 'n': 2, 'trace_an': 0}
  • id: 63235005
    {'hecke_orbit_code': 81064793326230800, 'n': 3, 'trace_an': 1}
  • id: 63235006
    {'hecke_orbit_code': 81064793326230800, 'n': 4, 'trace_an': 0}
  • id: 63235007
    {'hecke_orbit_code': 81064793326230800, 'n': 5, 'trace_an': -1}
  • id: 63235008
    {'hecke_orbit_code': 81064793326230800, 'n': 6, 'trace_an': 0}
  • id: 63235009
    {'hecke_orbit_code': 81064793326230800, 'n': 7, 'trace_an': 1}
  • id: 63235010
    {'hecke_orbit_code': 81064793326230800, 'n': 8, 'trace_an': 0}
  • id: 63235011
    {'hecke_orbit_code': 81064793326230800, 'n': 9, 'trace_an': 1}
  • id: 63235012
    {'hecke_orbit_code': 81064793326230800, 'n': 10, 'trace_an': 0}
  • id: 63235013
    {'hecke_orbit_code': 81064793326230800, 'n': 11, 'trace_an': 3}
  • id: 63235014
    {'hecke_orbit_code': 81064793326230800, 'n': 12, 'trace_an': 0}
  • id: 63235015
    {'hecke_orbit_code': 81064793326230800, 'n': 13, 'trace_an': -6}
  • id: 63235016
    {'hecke_orbit_code': 81064793326230800, 'n': 14, 'trace_an': 0}
  • id: 63235017
    {'hecke_orbit_code': 81064793326230800, 'n': 15, 'trace_an': -1}
  • id: 63235018
    {'hecke_orbit_code': 81064793326230800, 'n': 16, 'trace_an': 0}
  • id: 63235019
    {'hecke_orbit_code': 81064793326230800, 'n': 17, 'trace_an': -4}
  • id: 63235020
    {'hecke_orbit_code': 81064793326230800, 'n': 18, 'trace_an': 0}
  • id: 63235021
    {'hecke_orbit_code': 81064793326230800, 'n': 19, 'trace_an': -1}
  • id: 63235022
    {'hecke_orbit_code': 81064793326230800, 'n': 20, 'trace_an': 0}
  • id: 63235023
    {'hecke_orbit_code': 81064793326230800, 'n': 21, 'trace_an': 1}
  • id: 63235024
    {'hecke_orbit_code': 81064793326230800, 'n': 22, 'trace_an': 0}
  • id: 63235025
    {'hecke_orbit_code': 81064793326230800, 'n': 23, 'trace_an': 3}
  • id: 63235026
    {'hecke_orbit_code': 81064793326230800, 'n': 24, 'trace_an': 0}
  • id: 63235027
    {'hecke_orbit_code': 81064793326230800, 'n': 25, 'trace_an': 1}
  • id: 63235028
    {'hecke_orbit_code': 81064793326230800, 'n': 26, 'trace_an': 0}
  • id: 63235029
    {'hecke_orbit_code': 81064793326230800, 'n': 27, 'trace_an': 1}
  • id: 63235030
    {'hecke_orbit_code': 81064793326230800, 'n': 28, 'trace_an': 0}
  • id: 63235031
    {'hecke_orbit_code': 81064793326230800, 'n': 29, 'trace_an': 8}
  • id: 63235032
    {'hecke_orbit_code': 81064793326230800, 'n': 30, 'trace_an': 0}
  • id: 63235033
    {'hecke_orbit_code': 81064793326230800, 'n': 31, 'trace_an': 1}
  • id: 63235034
    {'hecke_orbit_code': 81064793326230800, 'n': 32, 'trace_an': 0}
  • id: 63235035
    {'hecke_orbit_code': 81064793326230800, 'n': 33, 'trace_an': 3}
  • id: 63235036
    {'hecke_orbit_code': 81064793326230800, 'n': 34, 'trace_an': 0}
  • id: 63235037
    {'hecke_orbit_code': 81064793326230800, 'n': 35, 'trace_an': -1}
  • id: 63235038
    {'hecke_orbit_code': 81064793326230800, 'n': 36, 'trace_an': 0}
  • id: 63235039
    {'hecke_orbit_code': 81064793326230800, 'n': 37, 'trace_an': -12}
  • id: 63235040
    {'hecke_orbit_code': 81064793326230800, 'n': 38, 'trace_an': 0}
  • id: 63235041
    {'hecke_orbit_code': 81064793326230800, 'n': 39, 'trace_an': -6}
  • id: 63235042
    {'hecke_orbit_code': 81064793326230800, 'n': 40, 'trace_an': 0}
  • id: 63235043
    {'hecke_orbit_code': 81064793326230800, 'n': 41, 'trace_an': 0}
  • id: 63235044
    {'hecke_orbit_code': 81064793326230800, 'n': 42, 'trace_an': 0}
  • id: 63235045
    {'hecke_orbit_code': 81064793326230800, 'n': 43, 'trace_an': -9}
  • id: 63235046
    {'hecke_orbit_code': 81064793326230800, 'n': 44, 'trace_an': 0}
  • id: 63235047
    {'hecke_orbit_code': 81064793326230800, 'n': 45, 'trace_an': -1}
  • id: 63235048
    {'hecke_orbit_code': 81064793326230800, 'n': 46, 'trace_an': 0}
  • id: 63235049
    {'hecke_orbit_code': 81064793326230800, 'n': 47, 'trace_an': 2}
  • id: 63235050
    {'hecke_orbit_code': 81064793326230800, 'n': 48, 'trace_an': 0}
  • id: 63235051
    {'hecke_orbit_code': 81064793326230800, 'n': 49, 'trace_an': -6}
  • id: 63235052
    {'hecke_orbit_code': 81064793326230800, 'n': 50, 'trace_an': 0}
  • id: 63235053
    {'hecke_orbit_code': 81064793326230800, 'n': 51, 'trace_an': -4}
  • id: 63235054
    {'hecke_orbit_code': 81064793326230800, 'n': 52, 'trace_an': 0}
  • id: 63235055
    {'hecke_orbit_code': 81064793326230800, 'n': 53, 'trace_an': -1}
  • id: 63235056
    {'hecke_orbit_code': 81064793326230800, 'n': 54, 'trace_an': 0}
  • id: 63235057
    {'hecke_orbit_code': 81064793326230800, 'n': 55, 'trace_an': -3}
  • id: 63235058
    {'hecke_orbit_code': 81064793326230800, 'n': 56, 'trace_an': 0}
  • id: 63235059
    {'hecke_orbit_code': 81064793326230800, 'n': 57, 'trace_an': -1}
  • id: 63235060
    {'hecke_orbit_code': 81064793326230800, 'n': 58, 'trace_an': 0}
  • id: 63235061
    {'hecke_orbit_code': 81064793326230800, 'n': 59, 'trace_an': -6}
  • id: 63235062
    {'hecke_orbit_code': 81064793326230800, 'n': 60, 'trace_an': 0}
  • id: 63235063
    {'hecke_orbit_code': 81064793326230800, 'n': 61, 'trace_an': 10}
  • id: 63235064
    {'hecke_orbit_code': 81064793326230800, 'n': 62, 'trace_an': 0}
  • id: 63235065
    {'hecke_orbit_code': 81064793326230800, 'n': 63, 'trace_an': 1}
  • id: 63235066
    {'hecke_orbit_code': 81064793326230800, 'n': 64, 'trace_an': 0}
  • id: 63235067
    {'hecke_orbit_code': 81064793326230800, 'n': 65, 'trace_an': 6}
  • id: 63235068
    {'hecke_orbit_code': 81064793326230800, 'n': 66, 'trace_an': 0}
  • id: 63235069
    {'hecke_orbit_code': 81064793326230800, 'n': 67, 'trace_an': -2}
  • id: 63235070
    {'hecke_orbit_code': 81064793326230800, 'n': 68, 'trace_an': 0}
  • id: 63235071
    {'hecke_orbit_code': 81064793326230800, 'n': 69, 'trace_an': 3}
  • id: 63235072
    {'hecke_orbit_code': 81064793326230800, 'n': 70, 'trace_an': 0}
  • id: 63235073
    {'hecke_orbit_code': 81064793326230800, 'n': 71, 'trace_an': -3}
  • id: 63235074
    {'hecke_orbit_code': 81064793326230800, 'n': 72, 'trace_an': 0}
  • id: 63235075
    {'hecke_orbit_code': 81064793326230800, 'n': 73, 'trace_an': 1}
  • id: 63235076
    {'hecke_orbit_code': 81064793326230800, 'n': 74, 'trace_an': 0}
  • id: 63235077
    {'hecke_orbit_code': 81064793326230800, 'n': 75, 'trace_an': 1}
  • id: 63235078
    {'hecke_orbit_code': 81064793326230800, 'n': 76, 'trace_an': 0}
  • id: 63235079
    {'hecke_orbit_code': 81064793326230800, 'n': 77, 'trace_an': 3}
  • id: 63235080
    {'hecke_orbit_code': 81064793326230800, 'n': 78, 'trace_an': 0}
  • id: 63235081
    {'hecke_orbit_code': 81064793326230800, 'n': 79, 'trace_an': 7}
  • id: 63235082
    {'hecke_orbit_code': 81064793326230800, 'n': 80, 'trace_an': 0}
  • id: 63235083
    {'hecke_orbit_code': 81064793326230800, 'n': 81, 'trace_an': 1}
  • id: 63235084
    {'hecke_orbit_code': 81064793326230800, 'n': 82, 'trace_an': 0}
  • id: 63235085
    {'hecke_orbit_code': 81064793326230800, 'n': 83, 'trace_an': -12}
  • id: 63235086
    {'hecke_orbit_code': 81064793326230800, 'n': 84, 'trace_an': 0}
  • id: 63235087
    {'hecke_orbit_code': 81064793326230800, 'n': 85, 'trace_an': 4}
  • id: 63235088
    {'hecke_orbit_code': 81064793326230800, 'n': 86, 'trace_an': 0}
  • id: 63235089
    {'hecke_orbit_code': 81064793326230800, 'n': 87, 'trace_an': 8}
  • id: 63235090
    {'hecke_orbit_code': 81064793326230800, 'n': 88, 'trace_an': 0}
  • id: 63235091
    {'hecke_orbit_code': 81064793326230800, 'n': 89, 'trace_an': -5}
  • id: 63235092
    {'hecke_orbit_code': 81064793326230800, 'n': 90, 'trace_an': 0}
  • id: 63235093
    {'hecke_orbit_code': 81064793326230800, 'n': 91, 'trace_an': -6}
  • id: 63235094
    {'hecke_orbit_code': 81064793326230800, 'n': 92, 'trace_an': 0}
  • id: 63235095
    {'hecke_orbit_code': 81064793326230800, 'n': 93, 'trace_an': 1}
  • id: 63235096
    {'hecke_orbit_code': 81064793326230800, 'n': 94, 'trace_an': 0}
  • id: 63235097
    {'hecke_orbit_code': 81064793326230800, 'n': 95, 'trace_an': 1}
  • id: 63235098
    {'hecke_orbit_code': 81064793326230800, 'n': 96, 'trace_an': 0}
  • id: 63235099
    {'hecke_orbit_code': 81064793326230800, 'n': 97, 'trace_an': 2}
  • id: 63235100
    {'hecke_orbit_code': 81064793326230800, 'n': 98, 'trace_an': 0}
  • id: 63235101
    {'hecke_orbit_code': 81064793326230800, 'n': 99, 'trace_an': 3}
  • id: 63235102
    {'hecke_orbit_code': 81064793326230800, 'n': 100, 'trace_an': 0}