Newform data - 3720.2.a.b

Formats: - HTML - YAML - JSON - 2026-07-22T11:47:56.659210

• 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': 14880, 'analytic_conductor': 29.7043495519163, 'analytic_rank': 0, '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': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [3720, 1, [2791, 1861, 1241, 2977, 1801], [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]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4503599660928648, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '3720.2.a.b', 'level': 3720, '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/3720/b'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '3720.2.a', 'trace_display': [0, -1, -1, -1], 'trace_hash': 2029184226190837972, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.040', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.011', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.081', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.075', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.213', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.283', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.014', 'prec': 17}, '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, 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0, -3, 0, 2, 0, -24, 0, 48, 0, -48, 0, 3, 0, 41, 0, -6, 0, 2, 0, -8, 0, -28, 0, -69, 0, -24, 0, 0, 0, 86, 0, 13, 0, 12, 0, -156, 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], '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]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 4503599660928648, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '3720.2.a.b', 'level': 3720, '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': [3, 4, 5, 3, 5, 2, 2, 6, 4, 4, 4, 3, 3, 5, 4, 3], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2], 'ALdims_old': [40, 44, 43, 45, 47, 44, 44, 40, 46, 40, 44, 45, 41, 45, 42, 43], 'Nk2': 14880, 'analytic_conductor': 29.7043495519163, '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': [3720, 1, [2791, 1861, 1241, 2977, 1801], [1, 1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 753, 'dim': 60, 'eis_dim': 31, 'eis_new_dim': 0, 'hecke_cutter_primes': [7, 11, 13, 17], 'hecke_orbit_code': 33558152, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 3, 3, 3, 3, 3, 4, 4, 4, 4, 5, 5, 5], 'label': '3720.2.a', 'level': 3720, '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': 784, 'mf_new_dim': 60, 'num_forms': 23, 'plus_dim': 24, 'prim_orbit_index': 1, 'relative_dim': 60, 'sturm_bound': 1536, 'trace_bound': 7, 'trace_display': [0, 0, 0, 0], 'traces': [60, 0, 0, 0, 0, 0, 0, 0, 60, 0, 8, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, 0, 0, 8, 0, 8, 0, 16, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 52, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, -24, 0, -24, 0, 16, 0, -32, 0, 0, 0, 0, 0, 0, 0, 32, 0, 60, 0, -16, 0, 0, 0, 16, 0, -24, 0, 48, 0, 4, 0, 16, 0, 40, 0, 8, 0, 32, 0, -16, 0, 0, 0, 32, 0, 8, 0, 16, 0, 32, 0, 8, 0, 0, 0, 64, 0, 36, 0, 0, 0, 0, 0, 80, 0, 8, 0, -8, 0, 16, 0, 0, 0, 32, 0, 40, 0, -48, 0, 80, 0, 0, 0, 32, 0, 32, 0, 64, 0, 0, 0, 0, 0, -16, 0, 16, 0, 32, 0, 40, 0, 8, 0, -16, 0, 84, 0, 8, 0, 48, 0, 0, 0, 16, 0, -40, 0, -32, 0, 16, 0, -24, 0, -16, 0, 0, 0, -32, 0, 72, 0, -24, 0, 96, 0, -16, 0, 16, 0, -16, 0, 16, 0, 0, 0, 16, 0, -40, 0, -48, 0, 16, 0, 16, 0, 32, 0, 112, 0, 0, 0, 60, 0, 0, 0, 64, 0, 0, 0, 64, 0, -16, 0, 32, 0, 32, 0, 88, 0, 0, 0, 0, 0, 64, 0, 0, 0, -56, 0, 48, 0, 0, 0, 112, 0, 32, 0, 0, 0, -16, 0, -8, 0, 8, 0, 16, 0, 32, 0, 64, 0, 8, 0, 16, 0, 0, 0, -40, 0, -40, 0, 0, 0, -144, 0, 100, 0, 0, 0, 16, 0, -32, 0, 8, 0, -128, 0, 64, 0, 16, 0, -16, 0, 24, 0, 48, 0, -32, 0, -32, 0, 8, 0, 16, 0, -80, 0, -48, 0, -96, 0, 0, 0, 64, 0, -160, 0, -120, 0, 16, 0, -32, 0, -32, 0, 0, 0, 0, 0, 48, 0, 8, 0, -96, 0, 8, 0, 0, 0, 16, 0, -32, 0, -16, 0, -96, 0, 52, 0, 32, 0, 0, 0, 48, 0, -24, 0, -144, 0, 80, 0, 0, 0, -16, 0, 56, 0, 40, 0, -128, 0, -48, 0, 0, 0, 0, 0, -16, 0, -16, 0, 0, 0, -48, 0, 80, 0, 8, 0, -24, 0, 0, 0, -80, 0, -72, 0, -32, 0, 32, 0, 48, 0, 16, 0, -136, 0, 56, 0, 0, 0, 0, 0, -32, 0, 0, 0, 128, 0, 64, 0, -24, 0, -64, 0, 32, 0, 52, 0, 0, 0, 16, 0, 80, 0, -104, 0, -144, 0, 48, 0, -96, 0, 64, 0, 0, 0, 80, 0, 96, 0, 8, 0, 16, 0, 0, 0, 16, 0, -32, 0, 8, 0, 0, 0, -64, 0, -128, 0, -16, 0, 0, 0, 16, 0, 32, 0, 120, 0, 0, 0, 0, 0, -64, 0, -104, 0, 48, 0, -96, 0, -32, 0, 32, 0, 64, 0, 64, 0, 0, 0, 56, 0, 224, 0, -64, 0, -136, 0, 128, 0, 0, 0, 0, 0, 116, 0, 8, 0, -64, 0, 0, 0, -72, 0, -72, 0, 56, 0, 96, 0, 0, 0, -152, 0, 0, 0, -160, 0, -240, 0, -8, 0, -96, 0, 48, 0, 0, 0, -160, 0, 56, 0, 0, 0, -8, 0, 72, 0, 0, 0, 0, 0, -216, 0, 16, 0, 48, 0, -128, 0, -24, 0, 16, 0, 0, 0, -64, 0, 0, 0, -48, 0, 80, 0, 48, 0, -8, 0, -24, 0, 64, 0, 32, 0, -16, 0, -16, 0, 0, 0, 32, 0, -128, 0, -8, 0, 16, 0, 208, 0, 60, 0, -144, 0, -64, 0, -80, 0, -96, 0, -40, 0, 48, 0, -32, 0, -104, 0, -32, 0, 16, 0, 16, 0, -64, 0, 0, 0, -208, 0, -32, 0, 0, 0, 120, 0, -72, 0, -16, 0, 0, 0, 0, 0, -24, 0, -32, 0, -32, 0, 0, 0, -192, 0, 0, 0, 112, 0, -160, 0, -48, 0, 32, 0, -112, 0, -184, 0, 0, 0, 64, 0, -96, 0, 16, 0, -80, 0, -64, 0, 0, 0, 0, 0, -64, 0, 32, 0, 0, 0, 48, 0, 32, 0, 80, 0, 48, 0, -16, 0, 0, 0, -80, 0, 60, 0, -64, 0, 144, 0, 32, 0, 48, 0, -56, 0, 64, 0, 112, 0, 80, 0, -16, 0, -64, 0, 16, 0, -8, 0, -96, 0, -128, 0, -96, 0, -72, 0, -32, 0, 0, 0, -336, 0, -16, 0, -48, 0, -64, 0, 0, 0, -16, 0, -160, 0, 48, 0, 16, 0, -72, 0, 112, 0, 48, 0, 48, 0, 128, 0, -24, 0, -160, 0, -96, 0, -24, 0, -80, 0, -48, 0, -80, 0, -104, 0, -216, 0, 112, 0, -80, 0, 128, 0, 48, 0, -288, 0, 64, 0, 8, 0, -32, 0, -176, 0, 80, 0, -64, 0, -40, 0, 4, 0, 128, 0, 36, 0, 0, 0, -32, 0, 432, 0, 32, 0, 128, 0, -48, 0, 16, 0, -112, 0, -216, 0, 32, 0, -304, 0, 24, 0, -64, 0, -112, 0, 64, 0, 40, 0, 8, 0, 160, 0, 16, 0, 184, 0, -128, 0, -48, 0, 336, 0, -144, 0, 8, 0, -64, 0, 32, 0, -96, 0, 0, 0, 48, 0, 112, 0, -16, 0, -184, 0, 32, 0, -48, 0, -96, 0, -16, 0, -224, 0, 0, 0, 128, 0, -192, 0, 16, 0, -16, 0, -8, 0, 0, 0, 48, 0, 16, 0, 40, 0, 8, 0, 64, 0, 128, 0, 0, 0, -128, 0, -96, 0, -80, 0, 144, 0, -56, 0, -96, 0, -32, 0, 60, 0, 32, 0, 64, 0, 32, 0, -144, 0, -264, 0, 0, 0, 0, 0, 224, 0, -136, 0, 8, 0, 176, 0, -72, 0, 80, 0, -144, 0, -112, 0, -16, 0, 48, 0, -48, 0, 16, 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: 1142486
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '3720.2.a.b', 'source_level': 3720, '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': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 1142487
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '3720.2.a.b', 'source_level': 3720, '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': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 3327250
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503599660928648, 'p': 2}
  • id: 3327251
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 4503599660928648, 'p': 3}
  • id: 3327252
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 4503599660928648, 'p': 5}
  • id: 3327253
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 4503599660928648, 'p': 7}
  • id: 3327254
    {'charpoly_factorization': [[[3, 1], 1]], 'hecke_orbit_code': 4503599660928648, 'p': 11}
  • id: 3327255
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 4503599660928648, 'p': 13}
  • id: 3327256
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 4503599660928648, 'p': 17}
  • id: 3327257
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 4503599660928648, 'p': 19}
  • id: 3327258
    {'charpoly_factorization': [[[3, 1], 1]], 'hecke_orbit_code': 4503599660928648, 'p': 23}
  • id: 3327259
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 4503599660928648, 'p': 29}
  • id: 3327260
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 4503599660928648, 'p': 31}
  • id: 3327261
    {'charpoly_factorization': [[[12, 1], 1]], 'hecke_orbit_code': 4503599660928648, 'p': 37}
  • id: 3327262
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 4503599660928648, 'p': 41}
  • id: 3327263
    {'charpoly_factorization': [[[-9, 1], 1]], 'hecke_orbit_code': 4503599660928648, 'p': 43}
  • id: 3327264
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 4503599660928648, 'p': 47}
  • id: 3327265
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 4503599660928648, 'p': 53}
  • id: 3327266
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 4503599660928648, 'p': 59}
  • id: 3327267
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 4503599660928648, 'p': 61}
  • id: 3327268
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 4503599660928648, 'p': 67}
  • id: 3327269
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 4503599660928648, 'p': 71}
  • id: 3327270
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 4503599660928648, 'p': 73}
  • id: 3327271
    {'charpoly_factorization': [[[7, 1], 1]], 'hecke_orbit_code': 4503599660928648, 'p': 79}
  • id: 3327272
    {'charpoly_factorization': [[[-12, 1], 1]], 'hecke_orbit_code': 4503599660928648, 'p': 83}
  • id: 3327273
    {'charpoly_factorization': [[[5, 1], 1]], 'hecke_orbit_code': 4503599660928648, 'p': 89}
  • id: 3327274
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 4503599660928648, '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': 2, 'label': '3720.2.a.b', 'level': 3720, '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: 16978014
    {'hecke_orbit_code': 4503599660928648, 'n': 1, 'trace_an': 1}
  • id: 16978015
    {'hecke_orbit_code': 4503599660928648, 'n': 2, 'trace_an': 0}
  • id: 16978016
    {'hecke_orbit_code': 4503599660928648, 'n': 3, 'trace_an': -1}
  • id: 16978017
    {'hecke_orbit_code': 4503599660928648, 'n': 4, 'trace_an': 0}
  • id: 16978018
    {'hecke_orbit_code': 4503599660928648, 'n': 5, 'trace_an': -1}
  • id: 16978019
    {'hecke_orbit_code': 4503599660928648, 'n': 6, 'trace_an': 0}
  • id: 16978020
    {'hecke_orbit_code': 4503599660928648, 'n': 7, 'trace_an': -1}
  • id: 16978021
    {'hecke_orbit_code': 4503599660928648, 'n': 8, 'trace_an': 0}
  • id: 16978022
    {'hecke_orbit_code': 4503599660928648, 'n': 9, 'trace_an': 1}
  • id: 16978023
    {'hecke_orbit_code': 4503599660928648, 'n': 10, 'trace_an': 0}
  • id: 16978024
    {'hecke_orbit_code': 4503599660928648, 'n': 11, 'trace_an': -3}
  • id: 16978025
    {'hecke_orbit_code': 4503599660928648, 'n': 12, 'trace_an': 0}
  • id: 16978026
    {'hecke_orbit_code': 4503599660928648, 'n': 13, 'trace_an': -6}
  • id: 16978027
    {'hecke_orbit_code': 4503599660928648, 'n': 14, 'trace_an': 0}
  • id: 16978028
    {'hecke_orbit_code': 4503599660928648, 'n': 15, 'trace_an': 1}
  • id: 16978029
    {'hecke_orbit_code': 4503599660928648, 'n': 16, 'trace_an': 0}
  • id: 16978030
    {'hecke_orbit_code': 4503599660928648, 'n': 17, 'trace_an': -4}
  • id: 16978031
    {'hecke_orbit_code': 4503599660928648, 'n': 18, 'trace_an': 0}
  • id: 16978032
    {'hecke_orbit_code': 4503599660928648, 'n': 19, 'trace_an': 1}
  • id: 16978033
    {'hecke_orbit_code': 4503599660928648, 'n': 20, 'trace_an': 0}
  • id: 16978034
    {'hecke_orbit_code': 4503599660928648, 'n': 21, 'trace_an': 1}
  • id: 16978035
    {'hecke_orbit_code': 4503599660928648, 'n': 22, 'trace_an': 0}
  • id: 16978036
    {'hecke_orbit_code': 4503599660928648, 'n': 23, 'trace_an': -3}
  • id: 16978037
    {'hecke_orbit_code': 4503599660928648, 'n': 24, 'trace_an': 0}
  • id: 16978038
    {'hecke_orbit_code': 4503599660928648, 'n': 25, 'trace_an': 1}
  • id: 16978039
    {'hecke_orbit_code': 4503599660928648, 'n': 26, 'trace_an': 0}
  • id: 16978040
    {'hecke_orbit_code': 4503599660928648, 'n': 27, 'trace_an': -1}
  • id: 16978041
    {'hecke_orbit_code': 4503599660928648, 'n': 28, 'trace_an': 0}
  • id: 16978042
    {'hecke_orbit_code': 4503599660928648, 'n': 29, 'trace_an': 8}
  • id: 16978043
    {'hecke_orbit_code': 4503599660928648, 'n': 30, 'trace_an': 0}
  • id: 16978044
    {'hecke_orbit_code': 4503599660928648, 'n': 31, 'trace_an': -1}
  • id: 16978045
    {'hecke_orbit_code': 4503599660928648, 'n': 32, 'trace_an': 0}
  • id: 16978046
    {'hecke_orbit_code': 4503599660928648, 'n': 33, 'trace_an': 3}
  • id: 16978047
    {'hecke_orbit_code': 4503599660928648, 'n': 34, 'trace_an': 0}
  • id: 16978048
    {'hecke_orbit_code': 4503599660928648, 'n': 35, 'trace_an': 1}
  • id: 16978049
    {'hecke_orbit_code': 4503599660928648, 'n': 36, 'trace_an': 0}
  • id: 16978050
    {'hecke_orbit_code': 4503599660928648, 'n': 37, 'trace_an': -12}
  • id: 16978051
    {'hecke_orbit_code': 4503599660928648, 'n': 38, 'trace_an': 0}
  • id: 16978052
    {'hecke_orbit_code': 4503599660928648, 'n': 39, 'trace_an': 6}
  • id: 16978053
    {'hecke_orbit_code': 4503599660928648, 'n': 40, 'trace_an': 0}
  • id: 16978054
    {'hecke_orbit_code': 4503599660928648, 'n': 41, 'trace_an': 0}
  • id: 16978055
    {'hecke_orbit_code': 4503599660928648, 'n': 42, 'trace_an': 0}
  • id: 16978056
    {'hecke_orbit_code': 4503599660928648, 'n': 43, 'trace_an': 9}
  • id: 16978057
    {'hecke_orbit_code': 4503599660928648, 'n': 44, 'trace_an': 0}
  • id: 16978058
    {'hecke_orbit_code': 4503599660928648, 'n': 45, 'trace_an': -1}
  • id: 16978059
    {'hecke_orbit_code': 4503599660928648, 'n': 46, 'trace_an': 0}
  • id: 16978060
    {'hecke_orbit_code': 4503599660928648, 'n': 47, 'trace_an': -2}
  • id: 16978061
    {'hecke_orbit_code': 4503599660928648, 'n': 48, 'trace_an': 0}
  • id: 16978062
    {'hecke_orbit_code': 4503599660928648, 'n': 49, 'trace_an': -6}
  • id: 16978063
    {'hecke_orbit_code': 4503599660928648, 'n': 50, 'trace_an': 0}
  • id: 16978064
    {'hecke_orbit_code': 4503599660928648, 'n': 51, 'trace_an': 4}
  • id: 16978065
    {'hecke_orbit_code': 4503599660928648, 'n': 52, 'trace_an': 0}
  • id: 16978066
    {'hecke_orbit_code': 4503599660928648, 'n': 53, 'trace_an': -1}
  • id: 16978067
    {'hecke_orbit_code': 4503599660928648, 'n': 54, 'trace_an': 0}
  • id: 16978068
    {'hecke_orbit_code': 4503599660928648, 'n': 55, 'trace_an': 3}
  • id: 16978069
    {'hecke_orbit_code': 4503599660928648, 'n': 56, 'trace_an': 0}
  • id: 16978070
    {'hecke_orbit_code': 4503599660928648, 'n': 57, 'trace_an': -1}
  • id: 16978071
    {'hecke_orbit_code': 4503599660928648, 'n': 58, 'trace_an': 0}
  • id: 16978072
    {'hecke_orbit_code': 4503599660928648, 'n': 59, 'trace_an': 6}
  • id: 16978073
    {'hecke_orbit_code': 4503599660928648, 'n': 60, 'trace_an': 0}
  • id: 16978074
    {'hecke_orbit_code': 4503599660928648, 'n': 61, 'trace_an': 10}
  • id: 16978075
    {'hecke_orbit_code': 4503599660928648, 'n': 62, 'trace_an': 0}
  • id: 16978076
    {'hecke_orbit_code': 4503599660928648, 'n': 63, 'trace_an': -1}
  • id: 16978077
    {'hecke_orbit_code': 4503599660928648, 'n': 64, 'trace_an': 0}
  • id: 16978078
    {'hecke_orbit_code': 4503599660928648, 'n': 65, 'trace_an': 6}
  • id: 16978079
    {'hecke_orbit_code': 4503599660928648, 'n': 66, 'trace_an': 0}
  • id: 16978080
    {'hecke_orbit_code': 4503599660928648, 'n': 67, 'trace_an': 2}
  • id: 16978081
    {'hecke_orbit_code': 4503599660928648, 'n': 68, 'trace_an': 0}
  • id: 16978082
    {'hecke_orbit_code': 4503599660928648, 'n': 69, 'trace_an': 3}
  • id: 16978083
    {'hecke_orbit_code': 4503599660928648, 'n': 70, 'trace_an': 0}
  • id: 16978084
    {'hecke_orbit_code': 4503599660928648, 'n': 71, 'trace_an': 3}
  • id: 16978085
    {'hecke_orbit_code': 4503599660928648, 'n': 72, 'trace_an': 0}
  • id: 16978086
    {'hecke_orbit_code': 4503599660928648, 'n': 73, 'trace_an': 1}
  • id: 16978087
    {'hecke_orbit_code': 4503599660928648, 'n': 74, 'trace_an': 0}
  • id: 16978088
    {'hecke_orbit_code': 4503599660928648, 'n': 75, 'trace_an': -1}
  • id: 16978089
    {'hecke_orbit_code': 4503599660928648, 'n': 76, 'trace_an': 0}
  • id: 16978090
    {'hecke_orbit_code': 4503599660928648, 'n': 77, 'trace_an': 3}
  • id: 16978091
    {'hecke_orbit_code': 4503599660928648, 'n': 78, 'trace_an': 0}
  • id: 16978092
    {'hecke_orbit_code': 4503599660928648, 'n': 79, 'trace_an': -7}
  • id: 16978093
    {'hecke_orbit_code': 4503599660928648, 'n': 80, 'trace_an': 0}
  • id: 16978094
    {'hecke_orbit_code': 4503599660928648, 'n': 81, 'trace_an': 1}
  • id: 16978095
    {'hecke_orbit_code': 4503599660928648, 'n': 82, 'trace_an': 0}
  • id: 16978096
    {'hecke_orbit_code': 4503599660928648, 'n': 83, 'trace_an': 12}
  • id: 16978097
    {'hecke_orbit_code': 4503599660928648, 'n': 84, 'trace_an': 0}
  • id: 16978098
    {'hecke_orbit_code': 4503599660928648, 'n': 85, 'trace_an': 4}
  • id: 16978099
    {'hecke_orbit_code': 4503599660928648, 'n': 86, 'trace_an': 0}
  • id: 16978100
    {'hecke_orbit_code': 4503599660928648, 'n': 87, 'trace_an': -8}
  • id: 16978101
    {'hecke_orbit_code': 4503599660928648, 'n': 88, 'trace_an': 0}
  • id: 16978102
    {'hecke_orbit_code': 4503599660928648, 'n': 89, 'trace_an': -5}
  • id: 16978103
    {'hecke_orbit_code': 4503599660928648, 'n': 90, 'trace_an': 0}
  • id: 16978104
    {'hecke_orbit_code': 4503599660928648, 'n': 91, 'trace_an': 6}
  • id: 16978105
    {'hecke_orbit_code': 4503599660928648, 'n': 92, 'trace_an': 0}
  • id: 16978106
    {'hecke_orbit_code': 4503599660928648, 'n': 93, 'trace_an': 1}
  • id: 16978107
    {'hecke_orbit_code': 4503599660928648, 'n': 94, 'trace_an': 0}
  • id: 16978108
    {'hecke_orbit_code': 4503599660928648, 'n': 95, 'trace_an': -1}
  • id: 16978109
    {'hecke_orbit_code': 4503599660928648, 'n': 96, 'trace_an': 0}
  • id: 16978110
    {'hecke_orbit_code': 4503599660928648, 'n': 97, 'trace_an': 2}
  • id: 16978111
    {'hecke_orbit_code': 4503599660928648, 'n': 98, 'trace_an': 0}
  • id: 16978112
    {'hecke_orbit_code': 4503599660928648, 'n': 99, 'trace_an': -3}
  • id: 16978113
    {'hecke_orbit_code': 4503599660928648, 'n': 100, 'trace_an': 0}