Newform data - 4275.2.a.n

Formats: - HTML - YAML - JSON - 2026-09-07T23:42:07.398420

• 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': 17100, 'analytic_conductor': 34.136046864097366, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, 1], [5, -1], [19, -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': [4275, 1, [1901, 1027, 1351], [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': [[2, [-1, 1]], [7, [-2, 1]], [11, [2, 1]]], 'hecke_orbit': 14, 'hecke_orbit_code': 58546795189375155, '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': '4275.2.a.n', 'level': 4275, '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': [3, 5, 19], 'level_radical': 285, 'minimal_twist': '855.2.c.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+q^{2}-q^{4}+2q^{7}-3q^{8}-2q^{11}+\\cdots', 'related_objects': ['EllipticCurve/Q/4275/n'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '4275.2.a', 'trace_display': [1, 0, 0, 2], 'trace_hash': 687519003097448878, 'trace_moments': [0, {'__RealLiteral__': 0, 'data': '1.017', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.014', 'prec': 7}, {'__RealLiteral__': 0, 'data': '2.014', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.101', 'prec': 10}, {'__RealLiteral__': 0, 'data': '4.971', 'prec': 14}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.018', 'prec': 7}, 'traces': [1, 1, 0, -1, 0, 0, 2, -3, 0, 0, -2, 0, -2, 2, 0, -1, 2, 0, 1, 0, 0, -2, 0, 0, 0, -2, 0, -2, 6, 0, -4, 5, 0, 2, 0, 0, 2, 1, 0, 0, -2, 0, -10, 2, 0, 0, 0, 0, -3, 0, 0, 2, -10, 0, 0, -6, 0, 6, 0, 0, -10, -4, 0, 7, 0, 0, -4, -2, 0, 0, 8, 0, 4, 2, 0, -1, -4, 0, -8, 0, 0, -2, -12, 0, 0, -10, 0, 6, -10, 0, -4, 0, 0, 0, 0, 0, -18, -3, 0, 0, 0, 0, 16, 6, 0, -10, -8, 0, -6, 0, 0, -2, 6, 0, 0, -6, 0, 0, 4, 0, -7, -10, 0, 4, 0, 0, 12, -3, 0, 0, 18, 0, 2, -4, 0, -6, -6, 0, -4, 0, 0, 8, 4, 0, 0, 4, 0, -2, -8, 0, -12, -3, 0, -4, 0, 0, 16, -8, 0, 0, 0, 0, -14, 2, 0, -12, 0, 0, -9, 0, 0, 10, -6, 0, 0, 2, 0, -10, -24, 0, -6, -4, 0, 0, 0, 0, -4, 0, 0, 0, 18, 0, 10, -18, 0, 3, -6, 0, -8, 0, 0, 0, 12, 0, 0, 16, 0, 2, -2, 0, -4, 10, 0, -8, 0, 0, -8, -6, 0, 0, -4, 0, -8, 10, 0, 6, 4, 0, -22, 0, 0, -18, 14, 0, 0, 0, 0, 4, -2, 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-6, -42, 0, 0, -68, 0, -6, -2, 0, 20, 18, 0, -8, 0, 0, 8, -36, 0, 0, -12, 0, 18, 18, 0, 0, 20, 0, -60, 0, 0, -8, 2, 0, 0, 20, 0, 64, -72, 0, -48, 0, 0, -20, 0, 0, -16, -44, 0, 0, -4, 0, 42, 44, 0, -50, 36, 0, 8, 0, 0, 2, -40, 0, 0, -38, 0, -16, -12, 0, -42, 0, 0, 76, 0, 0, 8, -96, 0, 0, -4, 0, -6, -6, 0, -8, 36, 0, 18, 0, 0, -64, 16, 0, 0, 12, 0, -28, 18, 0, -28, -24, 0, -68, 0, 0, -26, 48, 0, 0, 0, 0, -36, 8, 0, -60, 20, 0, -6, 0, 0, 16, 24, 0, 0, -18, 0, -56, -40, 0, 0, 30, 0, 0, 0, 0, -52, -6, 0, 0, 22, 0, 14, 8, 0, -36, 34, 0, -20, 0, 0, 86, -8, 0, 0, -78, 0, 100, -14, 0, 0, 16, 0, 4, 0, 0, 0, 70, 0, 0, 20, 0, 4, -24, 0, -4, 46, 0, -18, 0, 0, 30, 48, 0, 0, 28, 0, 32, -18, 0, -60, 22, 0, 56, 0, 0, 36, -40, 0, 0, 40, 0, 0, 32, 0, 88, 0, 0, 36, 0, 0, 48, -32, 0, 0, 72, 0, 74, -20, 0, -16, 72, 0, 70, 0, 0, 26, -66, 0, 0, -66, 0, 8, 30, 0, 8, 20, 0, 9, 0, 0, -22, 18, 0, 0, -68, 0, -30, 0, 0, 36, 4, 0, 44, 0, 0, 42, 72, 0, 0, 0, 0, -24, -54, 0, 40, -48, 0, 8, 0, 0, 0, -33, 0, 0, -68, 0, 8, 60, 0, -2, 8, 0, -34, 0, 0, -70, -2, 0, 0, -20, 0, -12, 40, 0, -28, -34, 0, -36, 0, 0, -12, 6, 0, 0, -28, 0, 0, 4, 0, -108, 38, 0, -16, 0, 0, 16, 0, 0, 0, -16, 0, 4, -2, 0, 32, -6, 0, -24, 0, 0, 8, 68, 0, 0, 62, 0, -76, -24, 0, 0, -60, 0, 47, 0, 0, -2, -108, 0, 0, 34, 0, -10, 78, 0, 16, -24, 0, 102, 0, 0, -60, 0, 0, 0, -8, 0, -34, 12, 0, -10, 42, 0, 0, 0, 0, -18, -48, 0, 0, 58, 0, -50, -8, 0, -52, 0, 0, -68, 0, 0, -60, -74, 0, 0, -24, 0, 44, 24, 0, 62, 0, 0, -12, 0, 0, 66, -18, 0, 0, 42, 0, -28, -36, 0, 40, -36, 0, -32, 0, 0, 36, -3, 0, 0, 0, 0, -48, 36, 0, 6, -62, 0, 16, 0, 0, -46, 4, 0, 0, 28, 0, -14, -6, 0, -16, -20, 0, 0, 0, 0, -98, 64, 0, 0, 0, 0, -16, 20, 0, -4, -8, 0, 0, 0, 0, 36, -36, 0, 0, 102, 0, -12, 80, 0, -12, 32, 0, 0, 0, 0, -36, -8, 0, 0, -8, 0, 2, -8, 0, -28, -78, 0, -12, 0, 0, -2, -72, 0, 0, 6, 0, 60, -72, 0, 100, 20, 0, 48, 0, 0, 44, 34, 0, 0, 0, 0, 16, 54, 0, 14, 96, 0, 30, 0, 0, 4, -8, 0, 0, 16, 0, -6, 78, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
  {'an': [[1], [1], [0], [-1], [0], [0], [2], [-3], [0], [0], [-2], [0], [-2], [2], [0], [-1], [2], [0], [1], [0], [0], [-2], [0], [0], [0], [-2], [0], [-2], [6], [0], [-4], [5], [0], [2], [0], [0], [2], [1], [0], [0], [-2], [0], [-10], [2], [0], [0], [0], [0], [-3], [0], [0], [2], [-10], [0], [0], [-6], [0], [6], [0], [0], [-10], [-4], [0], [7], [0], [0], [-4], [-2], [0], [0], [8], [0], [4], [2], [0], [-1], [-4], [0], [-8], [0], [0], [-2], [-12], [0], [0], [-10], [0], [6], [-10], [0], [-4], [0], [0], [0], [0], [0], [-18], [-3], [0], [0]], 'ap': [[1], [0], [0], [2], [-2], [-2], [2], [1], [0], [6], [-4], [2], [-2], [-10], [0], [-10], [0], [-10], [-4], [8], [4], [-8], [-12], [-10], [-18], [0], [16], [-8], [-6], [6], [12], [18], [-6], [-4], [-8], [-12], [16], [-14], [0], [-6], [-24], [-6], [18], [10], [-6], [-8], [-4], [-8], [4], [-22], [14], [-2], [-14], [14], [30], [24], [6], [0], [8], [-22], [-22], [2], [-20], [-6], [24], [14], [-16], [22], [36], [2], [-34], [-22], [-34], [-18], [16], [36], [36], [-8], [-30], [22], [-18], [-18], [-12], [26], [-16], [-4], [-10], [40], [-32], [14], [-4], [18], [16], [26], [-20], [-16], [42], [42], [16], [2], [28], [34], [12], [6], [28], [-24], [-12], [26], [36], [-10], [16], [0], [42], [-20], [-8], [-18], [26], [-24], [-34], [-20], [18], [-26], [-18], [48], [36], [24], [10], [-42], [14], [-36], [28], [-20], [44], [-4], [12], [-34], [14], [16], [18], [40], [12], [-24], [-18], [-12], [26], [0], [20], [-30], [-44], [4], [14], [-4], [-38], [52], [-48], [16], [40], [-48], [4], [-50], [-36], [-18], [22], [12], [-22], [-24], [32], [8], [-6], [6], [12], [-10], [-6], [16], [-8], [0], [44], [-24], [-32], [-50], [26], [12], [-58], [-66], [-24], [48], [-30], [40], [-58], [-42], [-14], [-44], [28], [38], [44], [-50], [-30], [-4], [-66], [32], [22], [0], [-2], [2], [42], [18], [16], [-28], [-36], [20], [-40], [-52], [22], [-20], [4], [46], [-18], [42], [8], [-2], [-34], [68], [-10], [58], [-68], [-74], [62], [-28], [36], [-46], [28], [64], [32], [-2], [6], [48], [34], [14], [-6], [-44], [24], [-12], [-38], [58], [2], [-58], [18], [-32], [-64], [72], [-68], [48], [48], [54], [14], [6], [-26], [-56], [-2], [20], [32], [-24], [-26], [14], [62], [-16], [-58], [72], [80], [6], [-10], [12], [36], [-48], [70], [-50], [-36], [-70], [-2], [18], [36], [-48], [-24], [-2], [-42], [26], [-32], [-66], [16], [-58], [8], [-52], [18], [-20], [-26], [-4], [-8], [-22], [-48], [14], [36], [-66], [-64], [60], [4], [70], [24], [-34], [-6], [-68], [16], [36], [74], [44], [48], [90], [-86], [80], [-32], [4], [-40], [-20], [-26], [44], [42], [-86], [-76], [-40], [-40], [42], [-50], [62], [0], [4], [12], [84], [-82], [-6], [-50], [58], [6], [-42], [-14], [28], [46], [-76], [18], [12], [-84], [-42], [40], [34], [-76], [-8], [-14], [-6], [-18], [-26], [-82], [-4], [-48], [84], [36], [76], [-6], [-6], [18], [64], [-50], [-38], [76], [-96], [-6], [-8], [-64], [8], [-18], [-56], [8], [86], [-78], [70], [30], [22], [56], [-40], [88], [48], [74], [72], [70], [-66], [30], [-22], [-68], [-30], [44], [-54], [40], [-68], [-34], [-2], [-12], [38], [-2], [32], [8], [62], [-76], [78], [-34], [42], [-48], [-52], [-60], [-24], [-36], [36], [-62], [4], [-6], [-98], [-8], [80], [2], [-78], [-72], [-72], [100], [78]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 58546795189375155, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '4275.2.a.n', 'level': 4275, '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': [12, 16, 18, 10, 21, 19, 21, 25], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [5, 6, 6, 6, 6, 6, 6, 6], 'ALdims_old': [55, 62, 56, 60, 57, 47, 49, 49], 'Nk2': 17100, 'analytic_conductor': 34.136046864097366, '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': [4275, 1, [1901, 1027, 1351], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 577, 'dim': 142, 'eis_dim': 47, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 7, 11], 'hecke_orbit_code': 33558707, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 6, 6, 6, 6, 6, 7, 7, 12], 'label': '4275.2.a', 'level': 4275, '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': [3, 5, 19], 'level_radical': 285, 'mf_dim': 624, 'mf_new_dim': 142, 'num_forms': 50, 'plus_dim': 62, 'prim_orbit_index': 1, 'relative_dim': 142, 'sturm_bound': 1200, 'trace_bound': 13, 'trace_display': [1, 0, 0, 5], 'traces': [142, 1, 0, 143, 0, 0, 5, -3, 0, 0, 13, 0, -2, -12, 0, 145, -11, 0, -2, 0, 0, 4, -8, 0, 0, 6, 0, 18, 32, 0, 0, 5, 0, 18, 0, 0, -12, -3, 0, 0, 0, 0, 13, 66, 0, 36, -1, 0, 145, 0, 0, 14, 26, 0, 0, 8, 0, 10, -18, 0, -9, 8, 0, 185, 0, 0, 12, -52, 0, 0, -42, 0, 1, 62, 0, -5, -41, 0, 8, 0, 0, 38, 16, 0, 0, 4, 0, -32, -2, 0, -16, 40, 0, -32, 0, 0, -6, 5, 0, 0, 28, 0, -34, 18, 0, 6, 34, 0, 38, 0, 0, 88, 20, 0, 0, 142, 0, 20, -11, 0, 213, 26, 0, -76, 0, 0, 46, -59, 0, 0, 3, 0, 1, 8, 0, 106, 29, 0, 9, 0, 0, 48, 36, 0, 0, -102, 0, -34, 57, 0, -74, -3, 0, -20, 0, 0, 36, 40, 0, 0, 0, 0, 28, -134, 0, -108, 2, 0, 170, 0, 0, 78, -24, 0, 0, 228, 0, -66, 38, 0, 56, 64, 0, 136, 0, 0, -15, 90, 0, 0, 69, 0, 14, 26, 0, 245, -56, 0, -35, 0, 0, 42, 14, 0, 0, -36, 0, -22, 25, 0, 126, 86, 0, -140, 0, 0, 44, -74, 0, 0, -56, 0, 34, 132, 0, 166, 0, 0, -71, 0, 0, 18, -81, 0, 0, 8, 0, -88, -19, 0, -28, 137, 0, -92, 0, 0, 2, -16, 0, 0, 75, 0, -20, -8, 0, -35, -74, 0, 62, 0, 0, 52, -29, 0, 0, 24, 0, 16, -106, 0, -92, -130, 0, -222, 0, 0, -3, 80, 0, 0, -12, 0, -71, -152, 0, -100, 38, 0, 221, 0, 0, 60, -18, 0, 0, 74, 0, -166, -40, 0, -85, -40, 0, -35, 0, 0, -36, -262, 0, 0, -177, 0, 16, 6, 0, 4, -68, 0, -38, 0, 0, 40, -15, 0, 0, -68, 0, 86, 17, 0, -124, 92, 0, -136, 0, 0, -138, 103, 0, 0, -120, 0, -5, 216, 0, 42, 99, 0, -115, 0, 0, 204, -116, 0, 0, 154, 0, -116, 177, 0, 142, -106, 0, 200, 0, 0, 12, 200, 0, 0, -72, 0, -86, 144, 0, -92, 36, 0, -14, 0, 0, 88, 4, 0, 0, 126, 0, -138, -53, 0, -4, 53, 0, 186, 0, 0, -43, 116, 0, 0, 230, 0, 184, -26, 0, 60, -110, 0, 182, 0, 0, -40, -82, 0, 0, 26, 0, 28, -44, 0, -122, 132, 0, -70, 0, 0, -45, 244, 0, 0, 60, 0, -4, -240, 0, 190, -16, 0, 18, 0, 0, -44, 163, 0, 0, 88, 0, 172, -34, 0, -42, -70, 0, -132, 0, 0, 23, -70, 0, 0, 9, 0, 15, 246, 0, 286, 67, 0, -192, 0, 0, -180, 71, 0, 0, 10, 0, 48, 72, 0, 284, -190, 0, 81, 0, 0, 10, -62, 0, 0, -64, 0, -122, -6, 0, -148, 154, 0, 107, 0, 0, -172, -84, 0, 0, -320, 0, 148, -202, 0, -35, -87, 0, -74, 0, 0, -115, -176, 0, 0, 106, 0, -90, -138, 0, 48, 88, 0, 198, 0, 0, -30, 20, 0, 0, 148, 0, -134, 62, 0, -125, -272, 0, -58, 0, 0, -40, -20, 0, 0, 28, 0, 128, 50, 0, -270, -143, 0, 24, 0, 0, -130, 226, 0, 0, -368, 0, -40, 86, 0, -84, -100, 0, -232, 0, 0, -5, -129, 0, 0, -172, 0, 224, -230, 0, -418, -157, 0, -12, 0, 0, -114, -208, 0, 0, -148, 0, 136, -188, 0, -168, 12, 0, -92, 0, 0, -12, -39, 0, 0, -152, 0, 157, 36, 0, -304, 177, 0, 372, 0, 0, 80, 8, 0, 0, -78, 0, -30, 34, 0, 113, -48, 0, -154, 0, 0, 50, -192, 0, 0, 278, 0, 33, -68, 0, 14, -207, 0, 90, 0, 0, 8, 197, 0, 0, -498, 0, -200, -178, 0, 270, 244, 0, -296, 0, 0, -64, -140, 0, 0, -85, 0, 112, -94, 0, 53, 28, 0, 204, 0, 0, -24, 100, 0, 0, 120, 0, 244, 216, 0, 191, 54, 0, -696, 0, 0, -134, -182, 0, 0, -44, 0, 40, 200, 0, -362, 126, 0, 148, 0, 0, -226, 256, 0, 0, 148, 0, -136, -127, 0, -222, 1, 0, -210, 0, 0, -37, 304, 0, 0, 121, 0, 88, 0, 0, -92, 96, 0, 137, 0, 0, -8, -88, 0, 0, -138, 0, -42, 102, 0, 180, 188, 0, -204, 0, 0, 43, 68, 0, 0, 309, 0, 88, -234, 0, -340, -128, 0, -173, 0, 0, -98, -40, 0, 0, -122, 0, -278, 20, 0, 62, 160, 0, -183, 0, 0, 128, -206, 0, 0, -302, 0, 92, -142, 0, -214, -42, 0, -265, 0, 0, -202, -103, 0, 0, 284, 0, -154, -25, 0, 104, 252, 0, 152, 0, 0, 41, -62, 0, 0, 269, 0, 37, 76, 0, -208, -72, 0, 402, 0, 0, 98, 60, 0, 0, 118, 0, 36, -302, 0, 30, -170, 0, 220, 0, 0, 14, 402, 0, 0, 20, 0, 16, -540, 0, -228, 160, 0, -15, 0, 0, 200, 42, 0, 0, -154, 0, 216, 172, 0, 80, -138, 0, 44, 0, 0, 12, -472, 0, 0, -59, 0, 313, 212, 0, 132, -58, 0, -182, 0, 0, -132, -21, 0, 0, 488, 0, 142, -128, 0, 216, -48, 0, 30, 0, 0, -112, 56, 0, 0, -518, 0, -64, 346, 0, -288, 45, 0, -100, 0, 0, -30, -152, 0, 0, -168, 0, 138, 12, 0, 1, -184, 0, -188, 0, 0, 105, 312, 0, 0, -204, 0, -8, 12, 0, -252, 8, 0, 68, 0, 0, -168, -146, 0, 0, -550, 0, -40, 213, 0, -198, -20, 0, -98, 0, 0, 316, 433, 0, 0, 168, 0, 47, -304, 0, 238, -90, 0, -200, 0, 0, 292, -144, 0, 0, -8, 0, -22, 348, 0, -394, 232, 0, 28, 0, 0, -7, 640, 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: 1197321
    {'conductor': 5, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '4275.2.a.n', 'source_level': 4275, 'target_char_orbit': 3, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '855.2.c.a', 'target_level': 855, 'twist_class_label': '855.2.c.a', 'twist_class_level': 855, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 1197322
    {'conductor': 15, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '4275.2.a.n', 'source_level': 4275, 'target_char_orbit': 3, 'target_dim': 2, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '855.2.c.c', 'target_level': 855, 'twist_class_label': '855.2.c.a', 'twist_class_level': 855, 'twisting_char_label': '15.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 1197323
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '4275.2.a.n', 'source_level': 4275, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '4275.2.a.d', 'target_level': 4275, 'twist_class_label': '855.2.c.a', 'twist_class_level': 855, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1197324
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '4275.2.a.n', 'source_level': 4275, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 7, 'target_is_minimal': False, 'target_label': '4275.2.a.g', 'target_level': 4275, 'twist_class_label': '855.2.c.a', 'twist_class_level': 855, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1197325
    {'conductor': 15, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '4275.2.a.n', 'source_level': 4275, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 11, 'target_is_minimal': False, 'target_label': '4275.2.a.k', 'target_level': 4275, 'twist_class_label': '855.2.c.a', 'twist_class_level': 855, 'twisting_char_label': '15.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 1197326
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '4275.2.a.n', 'source_level': 4275, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 14, 'target_is_minimal': False, 'target_label': '4275.2.a.n', 'target_level': 4275, 'twist_class_label': '855.2.c.a', 'twist_class_level': 855, '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: 3550950
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 58546795189375155, 'p': 2}
  • id: 3550951
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 58546795189375155, 'p': 3}
  • id: 3550952
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 58546795189375155, 'p': 5}
  • id: 3550953
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 58546795189375155, 'p': 7}
  • id: 3550954
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 58546795189375155, 'p': 11}
  • id: 3550955
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 58546795189375155, 'p': 13}
  • id: 3550956
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 58546795189375155, 'p': 17}
  • id: 3550957
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 58546795189375155, 'p': 19}
  • id: 3550958
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 58546795189375155, 'p': 23}
  • id: 3550959
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 58546795189375155, 'p': 29}
  • id: 3550960
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 58546795189375155, 'p': 31}
  • id: 3550961
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 58546795189375155, 'p': 37}
  • id: 3550962
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 58546795189375155, 'p': 41}
  • id: 3550963
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 58546795189375155, 'p': 43}
  • id: 3550964
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 58546795189375155, 'p': 47}
  • id: 3550965
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 58546795189375155, 'p': 53}
  • id: 3550966
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 58546795189375155, 'p': 59}
  • id: 3550967
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 58546795189375155, 'p': 61}
  • id: 3550968
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 58546795189375155, 'p': 67}
  • id: 3550969
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 58546795189375155, 'p': 71}
  • id: 3550970
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 58546795189375155, 'p': 73}
  • id: 3550971
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 58546795189375155, 'p': 79}
  • id: 3550972
    {'charpoly_factorization': [[[12, 1], 1]], 'hecke_orbit_code': 58546795189375155, 'p': 83}
  • id: 3550973
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 58546795189375155, 'p': 89}
  • id: 3550974
    {'charpoly_factorization': [[[18, 1], 1]], 'hecke_orbit_code': 58546795189375155, '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': 14, 'label': '4275.2.a.n', 'level': 4275, '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: 58522117
    {'hecke_orbit_code': 58546795189375155, 'n': 1, 'trace_an': 1}
  • id: 58522118
    {'hecke_orbit_code': 58546795189375155, 'n': 2, 'trace_an': 1}
  • id: 58522119
    {'hecke_orbit_code': 58546795189375155, 'n': 3, 'trace_an': 0}
  • id: 58522120
    {'hecke_orbit_code': 58546795189375155, 'n': 4, 'trace_an': -1}
  • id: 58522121
    {'hecke_orbit_code': 58546795189375155, 'n': 5, 'trace_an': 0}
  • id: 58522122
    {'hecke_orbit_code': 58546795189375155, 'n': 6, 'trace_an': 0}
  • id: 58522123
    {'hecke_orbit_code': 58546795189375155, 'n': 7, 'trace_an': 2}
  • id: 58522124
    {'hecke_orbit_code': 58546795189375155, 'n': 8, 'trace_an': -3}
  • id: 58522125
    {'hecke_orbit_code': 58546795189375155, 'n': 9, 'trace_an': 0}
  • id: 58522126
    {'hecke_orbit_code': 58546795189375155, 'n': 10, 'trace_an': 0}
  • id: 58522127
    {'hecke_orbit_code': 58546795189375155, 'n': 11, 'trace_an': -2}
  • id: 58522128
    {'hecke_orbit_code': 58546795189375155, 'n': 12, 'trace_an': 0}
  • id: 58522129
    {'hecke_orbit_code': 58546795189375155, 'n': 13, 'trace_an': -2}
  • id: 58522130
    {'hecke_orbit_code': 58546795189375155, 'n': 14, 'trace_an': 2}
  • id: 58522131
    {'hecke_orbit_code': 58546795189375155, 'n': 15, 'trace_an': 0}
  • id: 58522132
    {'hecke_orbit_code': 58546795189375155, 'n': 16, 'trace_an': -1}
  • id: 58522133
    {'hecke_orbit_code': 58546795189375155, 'n': 17, 'trace_an': 2}
  • id: 58522134
    {'hecke_orbit_code': 58546795189375155, 'n': 18, 'trace_an': 0}
  • id: 58522135
    {'hecke_orbit_code': 58546795189375155, 'n': 19, 'trace_an': 1}
  • id: 58522136
    {'hecke_orbit_code': 58546795189375155, 'n': 20, 'trace_an': 0}
  • id: 58522137
    {'hecke_orbit_code': 58546795189375155, 'n': 21, 'trace_an': 0}
  • id: 58522138
    {'hecke_orbit_code': 58546795189375155, 'n': 22, 'trace_an': -2}
  • id: 58522139
    {'hecke_orbit_code': 58546795189375155, 'n': 23, 'trace_an': 0}
  • id: 58522140
    {'hecke_orbit_code': 58546795189375155, 'n': 24, 'trace_an': 0}
  • id: 58522141
    {'hecke_orbit_code': 58546795189375155, 'n': 25, 'trace_an': 0}
  • id: 58522142
    {'hecke_orbit_code': 58546795189375155, 'n': 26, 'trace_an': -2}
  • id: 58522143
    {'hecke_orbit_code': 58546795189375155, 'n': 27, 'trace_an': 0}
  • id: 58522144
    {'hecke_orbit_code': 58546795189375155, 'n': 28, 'trace_an': -2}
  • id: 58522145
    {'hecke_orbit_code': 58546795189375155, 'n': 29, 'trace_an': 6}
  • id: 58522146
    {'hecke_orbit_code': 58546795189375155, 'n': 30, 'trace_an': 0}
  • id: 58522147
    {'hecke_orbit_code': 58546795189375155, 'n': 31, 'trace_an': -4}
  • id: 58522148
    {'hecke_orbit_code': 58546795189375155, 'n': 32, 'trace_an': 5}
  • id: 58522149
    {'hecke_orbit_code': 58546795189375155, 'n': 33, 'trace_an': 0}
  • id: 58522150
    {'hecke_orbit_code': 58546795189375155, 'n': 34, 'trace_an': 2}
  • id: 58522151
    {'hecke_orbit_code': 58546795189375155, 'n': 35, 'trace_an': 0}
  • id: 58522152
    {'hecke_orbit_code': 58546795189375155, 'n': 36, 'trace_an': 0}
  • id: 58522153
    {'hecke_orbit_code': 58546795189375155, 'n': 37, 'trace_an': 2}
  • id: 58522154
    {'hecke_orbit_code': 58546795189375155, 'n': 38, 'trace_an': 1}
  • id: 58522155
    {'hecke_orbit_code': 58546795189375155, 'n': 39, 'trace_an': 0}
  • id: 58522156
    {'hecke_orbit_code': 58546795189375155, 'n': 40, 'trace_an': 0}
  • id: 58522157
    {'hecke_orbit_code': 58546795189375155, 'n': 41, 'trace_an': -2}
  • id: 58522158
    {'hecke_orbit_code': 58546795189375155, 'n': 42, 'trace_an': 0}
  • id: 58522159
    {'hecke_orbit_code': 58546795189375155, 'n': 43, 'trace_an': -10}
  • id: 58522160
    {'hecke_orbit_code': 58546795189375155, 'n': 44, 'trace_an': 2}
  • id: 58522161
    {'hecke_orbit_code': 58546795189375155, 'n': 45, 'trace_an': 0}
  • id: 58522162
    {'hecke_orbit_code': 58546795189375155, 'n': 46, 'trace_an': 0}
  • id: 58522163
    {'hecke_orbit_code': 58546795189375155, 'n': 47, 'trace_an': 0}
  • id: 58522164
    {'hecke_orbit_code': 58546795189375155, 'n': 48, 'trace_an': 0}
  • id: 58522165
    {'hecke_orbit_code': 58546795189375155, 'n': 49, 'trace_an': -3}
  • id: 58522166
    {'hecke_orbit_code': 58546795189375155, 'n': 50, 'trace_an': 0}
  • id: 58522167
    {'hecke_orbit_code': 58546795189375155, 'n': 51, 'trace_an': 0}
  • id: 58522168
    {'hecke_orbit_code': 58546795189375155, 'n': 52, 'trace_an': 2}
  • id: 58522169
    {'hecke_orbit_code': 58546795189375155, 'n': 53, 'trace_an': -10}
  • id: 58522170
    {'hecke_orbit_code': 58546795189375155, 'n': 54, 'trace_an': 0}
  • id: 58522171
    {'hecke_orbit_code': 58546795189375155, 'n': 55, 'trace_an': 0}
  • id: 58522172
    {'hecke_orbit_code': 58546795189375155, 'n': 56, 'trace_an': -6}
  • id: 58522173
    {'hecke_orbit_code': 58546795189375155, 'n': 57, 'trace_an': 0}
  • id: 58522174
    {'hecke_orbit_code': 58546795189375155, 'n': 58, 'trace_an': 6}
  • id: 58522175
    {'hecke_orbit_code': 58546795189375155, 'n': 59, 'trace_an': 0}
  • id: 58522176
    {'hecke_orbit_code': 58546795189375155, 'n': 60, 'trace_an': 0}
  • id: 58522177
    {'hecke_orbit_code': 58546795189375155, 'n': 61, 'trace_an': -10}
  • id: 58522178
    {'hecke_orbit_code': 58546795189375155, 'n': 62, 'trace_an': -4}
  • id: 58522179
    {'hecke_orbit_code': 58546795189375155, 'n': 63, 'trace_an': 0}
  • id: 58522180
    {'hecke_orbit_code': 58546795189375155, 'n': 64, 'trace_an': 7}
  • id: 58522181
    {'hecke_orbit_code': 58546795189375155, 'n': 65, 'trace_an': 0}
  • id: 58522182
    {'hecke_orbit_code': 58546795189375155, 'n': 66, 'trace_an': 0}
  • id: 58522183
    {'hecke_orbit_code': 58546795189375155, 'n': 67, 'trace_an': -4}
  • id: 58522184
    {'hecke_orbit_code': 58546795189375155, 'n': 68, 'trace_an': -2}
  • id: 58522185
    {'hecke_orbit_code': 58546795189375155, 'n': 69, 'trace_an': 0}
  • id: 58522186
    {'hecke_orbit_code': 58546795189375155, 'n': 70, 'trace_an': 0}
  • id: 58522187
    {'hecke_orbit_code': 58546795189375155, 'n': 71, 'trace_an': 8}
  • id: 58522188
    {'hecke_orbit_code': 58546795189375155, 'n': 72, 'trace_an': 0}
  • id: 58522189
    {'hecke_orbit_code': 58546795189375155, 'n': 73, 'trace_an': 4}
  • id: 58522190
    {'hecke_orbit_code': 58546795189375155, 'n': 74, 'trace_an': 2}
  • id: 58522191
    {'hecke_orbit_code': 58546795189375155, 'n': 75, 'trace_an': 0}
  • id: 58522192
    {'hecke_orbit_code': 58546795189375155, 'n': 76, 'trace_an': -1}
  • id: 58522193
    {'hecke_orbit_code': 58546795189375155, 'n': 77, 'trace_an': -4}
  • id: 58522194
    {'hecke_orbit_code': 58546795189375155, 'n': 78, 'trace_an': 0}
  • id: 58522195
    {'hecke_orbit_code': 58546795189375155, 'n': 79, 'trace_an': -8}
  • id: 58522196
    {'hecke_orbit_code': 58546795189375155, 'n': 80, 'trace_an': 0}
  • id: 58522197
    {'hecke_orbit_code': 58546795189375155, 'n': 81, 'trace_an': 0}
  • id: 58522198
    {'hecke_orbit_code': 58546795189375155, 'n': 82, 'trace_an': -2}
  • id: 58522199
    {'hecke_orbit_code': 58546795189375155, 'n': 83, 'trace_an': -12}
  • id: 58522200
    {'hecke_orbit_code': 58546795189375155, 'n': 84, 'trace_an': 0}
  • id: 58522201
    {'hecke_orbit_code': 58546795189375155, 'n': 85, 'trace_an': 0}
  • id: 58522202
    {'hecke_orbit_code': 58546795189375155, 'n': 86, 'trace_an': -10}
  • id: 58522203
    {'hecke_orbit_code': 58546795189375155, 'n': 87, 'trace_an': 0}
  • id: 58522204
    {'hecke_orbit_code': 58546795189375155, 'n': 88, 'trace_an': 6}
  • id: 58522205
    {'hecke_orbit_code': 58546795189375155, 'n': 89, 'trace_an': -10}
  • id: 58522206
    {'hecke_orbit_code': 58546795189375155, 'n': 90, 'trace_an': 0}
  • id: 58522207
    {'hecke_orbit_code': 58546795189375155, 'n': 91, 'trace_an': -4}
  • id: 58522208
    {'hecke_orbit_code': 58546795189375155, 'n': 92, 'trace_an': 0}
  • id: 58522209
    {'hecke_orbit_code': 58546795189375155, 'n': 93, 'trace_an': 0}
  • id: 58522210
    {'hecke_orbit_code': 58546795189375155, 'n': 94, 'trace_an': 0}
  • id: 58522211
    {'hecke_orbit_code': 58546795189375155, 'n': 95, 'trace_an': 0}
  • id: 58522212
    {'hecke_orbit_code': 58546795189375155, 'n': 96, 'trace_an': 0}
  • id: 58522213
    {'hecke_orbit_code': 58546795189375155, 'n': 97, 'trace_an': -18}
  • id: 58522214
    {'hecke_orbit_code': 58546795189375155, 'n': 98, 'trace_an': -3}
  • id: 58522215
    {'hecke_orbit_code': 58546795189375155, 'n': 99, 'trace_an': 0}
  • id: 58522216
    {'hecke_orbit_code': 58546795189375155, 'n': 100, 'trace_an': 0}