Newform data - 775.3.d.d

Formats: - HTML - YAML - JSON - 2024-06-05T11:15:04.324459

• 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': 6975, 'analytic_conductor': 21.11722048792301, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 31, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 4, 'char_orbit_label': 'd', 'char_order': 2, 'char_parity': -1, 'char_values': [775, 2, [652, 251], [2, 1]], 'cm_discs': [-31], 'conrey_index': 526, 'dim': 3, 'field_disc': 837, 'field_disc_factorization': [[3, 3], [31, 1]], 'field_poly': [-1, -6, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 0, 'hecke_cutters': [[2, [-15, -12, 0, 1]], [3, [0, 1]]], 'hecke_orbit': 4, 'hecke_orbit_code': 13511005090874119, 'hecke_ring_generator_nbound': 2, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 31, 2, -1, 2, -31]], 'is_cm': True, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': True, 'is_twist_minimal': False, 'label': '775.3.d.d', 'level': 775, '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': [5, 31], 'level_radical': 155, 'minimal_twist': '31.3.b.b', 'nf_label': '3.3.837.1', 'prim_orbit_index': 2, 'qexp_display': 'q-\\beta _{2}q^{2}+(4+\\beta _{1}-2\\beta _{2})q^{4}+(-5\\beta _{1}+\\cdots)q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '2.2.1.d2', 'self_twist_discs': [-31], 'self_twist_type': 1, 'space_label': '775.3.d', 'trace_display': [0, 0, 0, 0], 'trace_hash': 2048810949165539550, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.774', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '72.748', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2121.365', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.839', 'prec': 17}, 'traces': [3, 0, 0, 12, 0, 0, 0, 45, 27, 0, 0, 0, 0, -9, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -75, 0, 0, -93, 180, 0, 0, 0, 108, 0, -135, 0, 0, 0, 0, 0, 0, 0, 0, 90, 0, 147, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 483, 0, 0, -30, 0, 0, 0, 0, 405, 0, 0, 0, -381, 0, 0, 0, 0, 243, 345, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -495, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -135, 0, 0, 0, 0, 0, -615, 0, 0, 363, 0, 0, -372, 0, -81, 0, 720, 0, 0, 414, 0, 690, 0, 0, 0, 0, 0, 0, 0, 0, -15, 0, 432, 0, 0, 0, 0, -594, 0, 0, -540, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 891, 0, 0, 0, 0, 507, 0, 0, 0, 450, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 360, 0, 0, 0, 0, 0, -1161, 0, -561, 0, 0, 0, 0, 0, -375, 0, 0, 0, -1089, 0, 0, 0, 0, 0, 0, 0, -1041, 0, 0, 0, -1215, 0, 0, 0, 0, 0, -1125, 0, 519, -990, 0, 0, 0, 0, 0, 0, 0, 0, -909, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1395, 0, 0, 0, -675, 0, 0, 0, 1932, 0, 0, 0, 0, 0, 0, 0, 0, 0, -729, 0, -120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -837, 0, 0, 0, 1650, -621, 0, 0, -1350, 1620, 867, 0, 0, 0, -270, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2025, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1791, 0, 0, 0, 0, 0, 0, 0, 0, 0, 972, 0, -369, 0, 1380, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1215, 1290, 0, 0, 0, 0, 0, 606, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1083, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1350, 0, 0, -1074, 0, 0, 2265, 0, 0, 0, -2241, 0, -2235, 0, 0, 0, 225, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 99, 0, 0, 0, 0, 0, 0, 0, -1635, -990, 0, 0, 0, 0, 0, 0, 0, 0, 2025, 810, 0, 0, 0, 0, -2475, 0, 0, 2214, 0, 0, 279, 0, -1941, 0, 0, 0, 0, 1323, 0, 0, 0, 0, 0, 0, -540, 0, 0, 0, 1845, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 471, 0, 0, 0, 0, 0, -2460, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1452, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1488, 2970, 0, 0, 0, 0, 0, 0, -324, 0, 0, 0, 0, 0, 0, 0, 4365, 0, 2991, 0, 0, 0, 0, 0, 0, -2826, 0, 0, 1656, 0, 0, 0, 0, 1587, 0, 0, 405, 0, 0, 0, -450, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1185, 0, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, 1119, 0, 4347, 2490, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2376, 0, 0, 0, 0, 0, 0, -270, 0, 0, 0, -3270, -5715, 0, 0, 0, 0, 0, 1359, 0, 0, 2250, 0, 0, 0, 0, -2895, 0, 0, 0, 0, 0, 3765, 0, 0, 0, 0, 0, -3729, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3645, 0, 0, 0, 645, -2430, 0, 0, 5175, 0, -270, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2028, 0, 0, 726, 0, 0, 0, 0, -3429, 0, -441, 0, 0, 0, 0, 0, 1800, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3870, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3225, 0, 0, -1626, 225, 0, 0, 0, 0, 0, 0, 2187, 0, 0, 0, 0, 0, 0, 0, 0, 3105, 0, 0, 0, 0, 0, 0, 0, 2151, 0, 0, 3006, 0, 0, 1440, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1230, 4491, 0, 0, 0, 0, 0, 0, 0, -3795, 0, 0, 0, -4644, 0, 0, -4626, 0, 0, 0, 0, -5073, 0, 0, 0, 0, 0, 0, -4554, 0, 0, 2439, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1500, 0, 0, -4434, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4356, 0, 4119, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2505, -4266, 0, 2523, -495, 0, 2739, 0, 0, 0, 0, 0, 0, 0, 0, -3630, 0, 0, -4164, 810, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2325, 0, 0, 0, -4860, 0, 0, 0, 0, 0, -5175, 0, 0, 0, -4455, 0, 0, 0, 759, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1449, 0, 0, 0, 0, 0, 0, 0, 2076, 0, 0, 0, -3960, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3786, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5214, -1035, 0, -1929, 0, 0, 330, 90, 0, 0, 0, 0, 0, -9225, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5505, 0, 0, 2883, 0, 0, 0, 0, 0, 0, 5445, 0, 0, -3474, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -5580, 0, -5289, 0, 0, 0, 0, 0, 0], 'weight': 3, 'weight_parity': -1}
• mf_hecke_nf •

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

  
  {'an': [[1, 0, 0], [0, 0, -1], [0, 0, 0], [4, 1, -2], [0, 0, 0], [0, 0, 0], [0, -5, 1], [15, 0, -4], [9, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [-3, 9, 2], [0, 0, 0], [16, 0, -15], [0, 0, 0], [0, 0, -9], [0, -11, 7], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [-25, 0, 3], [0, 0, 0], [0, 0, 0], [-31, 0, 0], [60, 15, -30], [0, 0, 0], [0, 0, 0], [0, 0, 0], [36, 9, -18], [0, 0, 0], [-45, 15, 14], [0, 0, 0], [0, 0, 0], [0, 21, -17], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [30, 0, 0], [0, 0, 0], [49, -19, 23], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [-12, -39, 23], [0, 0, 0], [0, 0, 0], [0, 21, 23], [0, 0, 0], [0, 0, 0], [0, 0, 31], [0, -45, 9], [161, 0, -60], [0, 0, 0], [0, 0, 0], [-10, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, -51, 7], [135, 0, -36], [0, 0, 0], [0, 0, 0], [0, 0, 0], [-127, 0, 45], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [81, 0, 0], [115, -25, -34], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, -30], [0, 0, 0], [0, 0, 0], [0, -5, 49], [-165, 15, -3], [0, 0, 0], [0, 0, 0]], 'ap': [[0, 0, -1], [0, 0, 0], [0, 0, 0], [0, -5, 1], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, -11, 7], [0, 0, 0], [0, 0, 0], [-31, 0, 0], [0, 0, 0], [0, 21, -17], [0, 0, 0], [30, 0, 0], [0, 0, 0], [0, 21, 23], [0, 0, 0], [-10, 0, 0], [0, -51, 7], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, -5, 49], [0, 69, 7], [0, 35, 41], [0, -45, 49], [0, 29, 47], [0, 75, -31], [0, 0, 0], [138, 0, 0], [0, 0, 0], [0, 0, 0], [-198, 0, 0], [0, 0, 0], [0, 35, -79], [0, 115, 1], [0, 0, 0], [150, 0, 0], [0, 0, 0], [0, 0, 0], [0, 21, -97], [0, 35, 89], [0, 0, 0], [0, 0, 0], [0, -91, -73], [0, 0, 0], [-330, 0, 0], [0, 0, 0], [0, -165, 1], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, -45, -119], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 189, -73], [550, 0, 0], [-90, 0, 0], [0, -205, -31], [0, 141, 103], [0, 0, 0], [0, -45, 161], [0, 0, 0], [0, 0, 0], [0, 0, 0], [202, 0, 0], [0, 0, 0], [0, -171, -113], [0, 0, 0], [0, 235, -119], [-358, 0, 0], [0, 0, 0], [0, 0, 0], [0, -245, -71], [0, 0, 0], [0, 0, 0], [0, 261, -137], [0, 301, -17], [738, 0, 0], [0, 0, 0], [0, -59, 223], [0, 315, -71], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 315, 41], [0, -99, -217], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, -285, -119], [0, 0, 0], [-942, 0, 0], [0, 0, 0], [0, -371, 127], [0, 275, 161], [0, 0, 0], [0, 195, -271], [0, 0, 0], [0, 0, 0], [830, 0, 0], [0, 0, 0], [0, 315, -239], [0, 69, 287], [0, 0, 0], [-1090, 0, 0], [0, 0, 0], [750, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [-810, 0, 0], [0, 429, -193], [0, -91, -313], [0, 0, 0], [0, 0, 0], [0, 195, 289], [0, 221, -337], [0, -219, 343], [0, 0, 0], [0, 0, 0], [0, 355, -311], [0, -325, 329], [0, 0, 0], [0, 0, 0], [0, 469, 127], [0, 0, 0], [0, 0, 0], [0, -539, -17], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [-1478, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [-1422, 0, 0], [-1210, 0, 0], [270, 0, 0], [0, 0, 0], [0, 0, 0], [0, 395, -391], [0, 0, 0], [0, 0, 0], [0, -165, 449], [0, -85, -439], [0, 0, 0], [-1262, 0, 0], [0, 0, 0], [110, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [-1158, 0, 0], [0, 435, 329], [0, 0, 0], [0, 0, 0], [0, 715, -119]], 'char_orbit_index': 4, 'field_poly': [-1, -6, 0, 1], 'hecke_orbit_code': 13511005090874119, 'hecke_ring_character_values': [[652, [1, 0, 0]], [251, [-1, 0, 0]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 1, 1], 'hecke_ring_inverse_denominators': [1, 1, 1], 'hecke_ring_inverse_numerators': [[1, 0, 0], [0, 1, 0], [4, 0, 1]], 'hecke_ring_numerators': [[1, 0, 0], [0, 1, 0], [-4, 0, 1]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 3, 'label': '775.3.d.d', 'level': 775, 'maxp': 997, 'weight': 3}
• mf_newspaces •

  Column	Type
  ALdims	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

  
  {'Nk2': 6975, 'analytic_conductor': 21.11722048792301, 'char_conductor': 31, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 4, 'char_orbit_label': 'd', 'char_order': 2, 'char_parity': -1, 'char_values': [775, 2, [652, 251], [2, 1]], 'conrey_index': 526, 'cusp_dim': 154, 'dim': 99, 'eis_dim': 12, 'eis_new_dim': 6, 'hecke_cutter_primes': [2, 3], 'hecke_orbit_code': 206208762631, 'hecke_orbit_dims': [2, 2, 2, 3, 4, 6, 16, 20, 22, 22], 'label': '775.3.d', 'level': 775, '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': [5, 31], 'level_radical': 155, 'mf_dim': 166, 'mf_new_dim': 105, 'num_forms': 10, 'prim_orbit_index': 2, 'relative_dim': 99, 'sturm_bound': 240, 'trace_bound': 9, 'trace_display': [2, 0, 0, 4], 'traces': [99, 2, 0, 202, 0, 0, 4, -5, -293, 0, 0, 0, 0, -23, 0, 350, 0, 18, -36, 0, 0, 0, 0, 0, 0, 0, 0, 69, 0, 0, 19, 122, 32, 0, 0, -838, 0, -175, -48, 0, 56, 0, 0, 0, 0, 0, 82, 0, 399, 0, -132, 0, 0, 0, 0, -280, 0, 0, 284, 0, 0, -130, 56, 471, 0, 0, 122, 0, -296, 0, 188, 367, 0, 0, 0, -75, 0, -500, 0, 0, 695, 109, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 68, -192, 0, 0, -392, 855, 0, 0, 108, 164, -252, 0, 0, 0, -460, 0, -60, 0, 184, 577, -12, 0, 0, 0, 0, -87, 0, 0, -1225, 0, 0, 670, 0, 461, 0, 518, 52, 0, 242, -260, -122, -616, 0, 0, 0, 32, 0, 0, 0, -1063, -1412, -1922, 0, 0, 0, 0, -158, 0, 0, -88, 0, 0, 0, -1712, 272, 0, 1036, 0, 0, -482, -60, 813, 0, 0, 0, 0, 231, 0, 1048, 0, 738, -88, 0, 0, 0, 0, 0, 0, 0, 0, 1940, 0, 0, 824, 596, -440, 0, 0, -1656, 0, -460, 1161, 0, 1439, 0, 0, 0, 0, 0, 1761, 0, 752, 0, -1295, 0, 0, 0, 0, 788, 0, 0, -1339, 0, 0, -764, -15, 348, 0, -956, 528, 0, 681, 0, 1721, 1122, 0, 0, 0, 2476, 0, -1412, 0, 0, 4973, -220, 0, 0, 0, 0, -1618, 0, 0, 0, 0, 0, -113, -628, 0, 0, -875, 1616, 0, 0, -1166, -760, -2768, 0, 0, 0, -280, 0, -3856, 0, -2619, 1964, 1188, 0, 0, 0, 0, -408, 0, 0, -7452, 0, 0, 1155, 0, 212, 0, 1022, -1267, 0, 856, -530, 654, -2833, 0, 0, 0, 18, 0, 0, 0, 396, -4264, -1164, 0, 0, 0, 0, 809, 0, 0, -944, 0, 0, 0, -484, -2484, 0, 993, 0, 0, -836, 2456, -776, 0, 0, 0, 0, 1190, 0, 2177, 0, 2780, -3588, 0, 0, 0, 0, 0, 0, 0, 0, 2270, 0, 0, 228, 3141, 794, 0, 0, -3532, 0, 732, 2442, 0, 2492, 0, 0, 0, 0, 0, 4220, 0, -408, 0, -1745, 0, 0, 0, 0, 2428, 0, 0, 996, 0, 0, -2056, 376, 7632, 0, -1018, -1212, 0, 510, 0, 568, 2737, 0, 0, 0, 1725, 0, -5147, 0, 0, 5016, 2051, 0, 0, 0, 0, -908, 0, 0, 0, 0, 0, -1400, -1115, 0, 0, -1440, 1168, 0, 0, -1968, -3975, -1690, 0, 0, 0, -3208, 0, -6888, 0, -4896, 6957, -822, 0, 0, 0, 0, -503, 0, 0, -2142, 0, 0, -63, 0, 7021, 0, 3236, -156, 0, -829, -2496, 916, 3396, 0, 0, 0, -1636, 0, 0, 0, 589, -4836, -2948, 0, 0, 0, 0, 3448, 0, 0, -1224, 0, 0, 0, -275, -4532, 0, 1752, 0, 0, -5496, 2592, 1732, 0, 0, 0, 0, 4248, 0, 2828, 0, 3560, -9386, 0, 0, 0, 0, 0, 0, 0, 0, 1212, 0, 0, 1626, 1838, -920, 0, 0, -2492, 0, 2624, 3572, 0, 2936, 0, 0, 0, 0, 0, 9763, 0, 4897, 0, -100, 0, 0, 0, 0, 1722, 0, 0, 924, 0, 0, -180, -4204, 3011, 0, -8848, 4957, 0, 7036, 0, -3862, 8264, 0, 0, 0, 1604, 0, -3460, 0, 0, 6172, 2992, 0, 0, 0, 0, -8288, 0, 0, 0, 0, 0, -426, 3400, 0, 0, -1207, 208, 0, 0, -9828, -4572, -4040, 0, 0, 0, -5988, 0, -9871, 0, -7045, 6350, -1610, 0, 0, 0, 0, -2088, 0, 0, -5064, 0, 0, 404, 0, 904, 0, 4984, -9104, 0, -4964, -4500, 4472, -10228, 0, 0, 0, 710, 0, 0, 0, 2186, -5863, -1460, 0, 0, 0, 0, 9965, 0, 0, 1034, 0, 0, 0, 4464, -5207, 0, -3196, 0, 0, -5988, 6113, 8044, 0, 0, 0, 0, 129, 0, 9304, 0, -292, -5316, 0, 0, 0, 0, 0, 0, 0, 0, 4895, 0, 0, 9352, 8561, 2334, 0, 0, 3037, 0, 5954, 552, 0, -712, 0, 0, 0, 0, 0, 4920, 0, -7136, 0, 6480, 0, 0, 0, 0, 3606, 0, 0, 4954, 0, 0, -6104, -6232, 10065, 0, -13115, 2912, 0, 8996, 0, -5816, 8860, 0, 0, 0, 16652, 0, -6664, 0, 0, -3692, 7480, 0, 0, 0, 0, -1962, 0, 0, 0, 0, 0, -648, -23388, 0, 0, -1000, -2367, 0, 0, 8270, -5461, -2620, 0, 0, 0, -9044, 0, -2441, 0, -3648, 15028, -812, 0, 0, 0, 0, 7209, 0, 0, -3300, 0, 0, 9700, 0, -4979, 0, 3232, 6278, 0, -2772, -4464, 9076, -10068, 0, 0, 0, -6000, 0, 0, 0, 1472, -3258, -8083, 0, 0, 0, 0, -3952, 0, 0, -3271, 0, 0, 0, 7928, -11500, 0, 3166, 0, 0, -11608, 884, 6963, 0, 0, 0, 0, 13392, 0, -2242, 0, -684, -13775, 0, 0, 0, 0, 0, 0, 0, 0, 964, 0, 0, -1164, 6352, 3480, 0, 0, 894, 0, -172, 5748, 0, -1084, 0, 0, 0, 0, 0, 13860, 0, -6164, 0, -2275, 0, 0, 0, 0, 4992, 0, 0, -5224, 0, 0, -3076, -4335, 3038, 0, -1345, 5089, 0, 10981, 0, -11492, 12892, 0, 0, 0, 3244, 0, -4682, 0, 0, -7636, 9218, 0, 0, 0, 0, -13268, 0, 0, 0, 0, 0, 2597, -2608, 0, 0, -8544, -6496, 0, 0, -6708, -4728, -6219, 0, 0, 0, -13945, 0, -10400, 0, 15113, 6764, -3468, 0, 0, 0, 0, -1208, 0, 0, -1567, 0, 0, -3256, 0, -9936, 0, 4572, -8552, 0, 3696, -5172, 516, -20312, 0, 0, 0, 4248, 0, 0, 0, 5444, -5004, -4858, 0, 0, 0, 0, 32352, 0, 0, -3316, 0, 0, 0, -22, -11067, 0, 14645, 0, 0, -3046, 10050, -388, 0, 0, 0, 0, 29849, 0, 924, 0, -3160, -3308, 0, 0, 0, 0, 0, 0, 0, 0, 1717, 0, 0, 1611, 13948, 7660, 0, 0, 17588, 0, 7527, 8972, 0, -7266, 0, 0, 0, 0, 0, 11608, 0, -7204, 0, -15084, 0, 0, 0, 0, 6436, 0, 0, 60, 0, 0, -9522, -8124, -2679, 0, -1188, 4996, 0, 2040, 0], 'weight': 3, '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: 494166
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 4, 'source_dim': 3, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '775.3.d.d', 'source_level': 775, 'target_char_orbit': 2, 'target_dim': 3, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '31.3.b.b', 'target_level': 31, 'twist_class_label': '31.3.b.b', 'twist_class_level': 31, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 3}
  • id: 494167
    {'conductor': 155, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 4, 'source_dim': 3, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '775.3.d.d', 'source_level': 775, 'target_char_orbit': 2, 'target_dim': 3, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '31.3.b.b', 'target_level': 31, 'twist_class_label': '31.3.b.b', 'twist_class_level': 31, 'twisting_char_label': '155.c', 'twisting_char_orbit': 3, 'weight': 3}
  • id: 494168
    {'conductor': 15, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 4, 'source_dim': 3, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '775.3.d.d', 'source_level': 775, 'target_char_orbit': 4, 'target_dim': 3, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '279.3.d.c', 'target_level': 279, 'twist_class_label': '31.3.b.b', 'twist_class_level': 31, 'twisting_char_label': '15.d', 'twisting_char_orbit': 4, 'weight': 3}
  • id: 494169
    {'conductor': 465, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 4, 'source_dim': 3, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '775.3.d.d', 'source_level': 775, 'target_char_orbit': 4, 'target_dim': 3, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '279.3.d.c', 'target_level': 279, 'twist_class_label': '31.3.b.b', 'twist_class_level': 31, 'twisting_char_label': '465.g', 'twisting_char_orbit': 7, 'weight': 3}
  • id: 494170
    {'conductor': 20, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 4, 'source_dim': 3, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '775.3.d.d', 'source_level': 775, 'target_char_orbit': 5, 'target_dim': 3, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '496.3.e.c', 'target_level': 496, 'twist_class_label': '31.3.b.b', 'twist_class_level': 31, 'twisting_char_label': '20.d', 'twisting_char_orbit': 4, 'weight': 3}
  • id: 494171
    {'conductor': 620, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 4, 'source_dim': 3, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '775.3.d.d', 'source_level': 775, 'target_char_orbit': 5, 'target_dim': 3, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '496.3.e.c', 'target_level': 496, 'twist_class_label': '31.3.b.b', 'twist_class_level': 31, 'twisting_char_label': '620.e', 'twisting_char_orbit': 5, 'weight': 3}
  • id: 494172
    {'conductor': 5, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 4, 'source_dim': 3, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '775.3.d.d', 'source_level': 775, 'target_char_orbit': 3, 'target_dim': 6, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '775.3.c.b', 'target_level': 775, 'twist_class_label': '31.3.b.b', 'twist_class_level': 31, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 3}
  • id: 494173
    {'conductor': 155, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 4, 'source_dim': 3, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '775.3.d.d', 'source_level': 775, 'target_char_orbit': 3, 'target_dim': 6, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '775.3.c.b', 'target_level': 775, 'twist_class_label': '31.3.b.b', 'twist_class_level': 31, 'twisting_char_label': '155.f', 'twisting_char_orbit': 6, 'weight': 3}
  • id: 494174
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 4, 'source_dim': 3, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '775.3.d.d', 'source_level': 775, 'target_char_orbit': 4, 'target_dim': 3, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '775.3.d.d', 'target_level': 775, 'twist_class_label': '31.3.b.b', 'twist_class_level': 31, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 3}
  • id: 494175
    {'conductor': 31, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': -31, 'source_char_orbit': 4, 'source_dim': 3, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '775.3.d.d', 'source_level': 775, 'target_char_orbit': 4, 'target_dim': 3, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '775.3.d.d', 'target_level': 775, 'twist_class_label': '31.3.b.b', 'twist_class_level': 31, 'twisting_char_label': '31.b', 'twisting_char_orbit': 2, 'weight': 3}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1314650
    {'charpoly_factorization': [[[-15, -12, 0, 1], 1]], 'hecke_orbit_code': 13511005090874119, 'p': 2}
  • id: 1314651
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 13511005090874119, 'p': 3}
  • id: 1314652
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 13511005090874119, 'p': 5}
  • id: 1314653
    {'charpoly_factorization': [[[-430, -147, 0, 1], 1]], 'hecke_orbit_code': 13511005090874119, 'p': 7}
  • id: 1314654
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 13511005090874119, 'p': 11}
  • id: 1314655
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 13511005090874119, 'p': 13}
  • id: 1314656
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 13511005090874119, 'p': 17}
  • id: 1314657
    {'charpoly_factorization': [[[-10618, -1083, 0, 1], 1]], 'hecke_orbit_code': 13511005090874119, 'p': 19}
  • id: 1314658
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 13511005090874119, 'p': 23}
  • id: 1314659
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 13511005090874119, 'p': 29}
  • id: 1314660
    {'charpoly_factorization': [[[31, 1], 3]], 'hecke_orbit_code': 13511005090874119, 'p': 31}
  • id: 1314661
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 13511005090874119, 'p': 37}
  • id: 1314662
    {'charpoly_factorization': [[[60558, -5043, 0, 1], 1]], 'hecke_orbit_code': 13511005090874119, 'p': 41}
  • id: 1314663
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 13511005090874119, 'p': 43}
  • id: 1314664
    {'charpoly_factorization': [[[-30, 1], 3]], 'hecke_orbit_code': 13511005090874119, 'p': 47}
  • id: 1314665
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 13511005090874119, 'p': 53}
  • id: 1314666
    {'charpoly_factorization': [[[-136842, -10443, 0, 1], 1]], 'hecke_orbit_code': 13511005090874119, 'p': 59}
  • id: 1314667
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 13511005090874119, 'p': 61}
  • id: 1314668
    {'charpoly_factorization': [[[10, 1], 3]], 'hecke_orbit_code': 13511005090874119, 'p': 67}
  • id: 1314669
    {'charpoly_factorization': [[[-284178, -15123, 0, 1], 1]], 'hecke_orbit_code': 13511005090874119, 'p': 71}
  • id: 1314670
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 13511005090874119, 'p': 73}
  • id: 1314671
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 13511005090874119, 'p': 79}
  • id: 1314672
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 13511005090874119, 'p': 83}
  • id: 1314673
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 13511005090874119, 'p': 89}
  • id: 1314674
    {'charpoly_factorization': [[[1807490, -28227, 0, 1], 1]], 'hecke_orbit_code': 13511005090874119, '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': 4, 'hecke_orbit': 4, 'label': '775.3.d.d', 'level': 775, 'portrait': 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', 'weight': 3}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 36318121
    {'hecke_orbit_code': 13511005090874119, 'n': 1, 'trace_an': 3}
  • id: 36318122
    {'hecke_orbit_code': 13511005090874119, 'n': 2, 'trace_an': 0}
  • id: 36318123
    {'hecke_orbit_code': 13511005090874119, 'n': 3, 'trace_an': 0}
  • id: 36318124
    {'hecke_orbit_code': 13511005090874119, 'n': 4, 'trace_an': 12}
  • id: 36318125
    {'hecke_orbit_code': 13511005090874119, 'n': 5, 'trace_an': 0}
  • id: 36318126
    {'hecke_orbit_code': 13511005090874119, 'n': 6, 'trace_an': 0}
  • id: 36318127
    {'hecke_orbit_code': 13511005090874119, 'n': 7, 'trace_an': 0}
  • id: 36318128
    {'hecke_orbit_code': 13511005090874119, 'n': 8, 'trace_an': 45}
  • id: 36318129
    {'hecke_orbit_code': 13511005090874119, 'n': 9, 'trace_an': 27}
  • id: 36318130
    {'hecke_orbit_code': 13511005090874119, 'n': 10, 'trace_an': 0}
  • id: 36318131
    {'hecke_orbit_code': 13511005090874119, 'n': 11, 'trace_an': 0}
  • id: 36318132
    {'hecke_orbit_code': 13511005090874119, 'n': 12, 'trace_an': 0}
  • id: 36318133
    {'hecke_orbit_code': 13511005090874119, 'n': 13, 'trace_an': 0}
  • id: 36318134
    {'hecke_orbit_code': 13511005090874119, 'n': 14, 'trace_an': -9}
  • id: 36318135
    {'hecke_orbit_code': 13511005090874119, 'n': 15, 'trace_an': 0}
  • id: 36318136
    {'hecke_orbit_code': 13511005090874119, 'n': 16, 'trace_an': 48}
  • id: 36318137
    {'hecke_orbit_code': 13511005090874119, 'n': 17, 'trace_an': 0}
  • id: 36318138
    {'hecke_orbit_code': 13511005090874119, 'n': 18, 'trace_an': 0}
  • id: 36318139
    {'hecke_orbit_code': 13511005090874119, 'n': 19, 'trace_an': 0}
  • id: 36318140
    {'hecke_orbit_code': 13511005090874119, 'n': 20, 'trace_an': 0}
  • id: 36318141
    {'hecke_orbit_code': 13511005090874119, 'n': 21, 'trace_an': 0}
  • id: 36318142
    {'hecke_orbit_code': 13511005090874119, 'n': 22, 'trace_an': 0}
  • id: 36318143
    {'hecke_orbit_code': 13511005090874119, 'n': 23, 'trace_an': 0}
  • id: 36318144
    {'hecke_orbit_code': 13511005090874119, 'n': 24, 'trace_an': 0}
  • id: 36318145
    {'hecke_orbit_code': 13511005090874119, 'n': 25, 'trace_an': 0}
  • id: 36318146
    {'hecke_orbit_code': 13511005090874119, 'n': 26, 'trace_an': 0}
  • id: 36318147
    {'hecke_orbit_code': 13511005090874119, 'n': 27, 'trace_an': 0}
  • id: 36318148
    {'hecke_orbit_code': 13511005090874119, 'n': 28, 'trace_an': -75}
  • id: 36318149
    {'hecke_orbit_code': 13511005090874119, 'n': 29, 'trace_an': 0}
  • id: 36318150
    {'hecke_orbit_code': 13511005090874119, 'n': 30, 'trace_an': 0}
  • id: 36318151
    {'hecke_orbit_code': 13511005090874119, 'n': 31, 'trace_an': -93}
  • id: 36318152
    {'hecke_orbit_code': 13511005090874119, 'n': 32, 'trace_an': 180}
  • id: 36318153
    {'hecke_orbit_code': 13511005090874119, 'n': 33, 'trace_an': 0}
  • id: 36318154
    {'hecke_orbit_code': 13511005090874119, 'n': 34, 'trace_an': 0}
  • id: 36318155
    {'hecke_orbit_code': 13511005090874119, 'n': 35, 'trace_an': 0}
  • id: 36318156
    {'hecke_orbit_code': 13511005090874119, 'n': 36, 'trace_an': 108}
  • id: 36318157
    {'hecke_orbit_code': 13511005090874119, 'n': 37, 'trace_an': 0}
  • id: 36318158
    {'hecke_orbit_code': 13511005090874119, 'n': 38, 'trace_an': -135}
  • id: 36318159
    {'hecke_orbit_code': 13511005090874119, 'n': 39, 'trace_an': 0}
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  • id: 36318263
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  • id: 36318361
    {'hecke_orbit_code': 13511005090874119, 'n': 881, 'trace_an': 0}
  • id: 36318362
    {'hecke_orbit_code': 13511005090874119, 'n': 883, 'trace_an': 0}
  • id: 36318363
    {'hecke_orbit_code': 13511005090874119, 'n': 887, 'trace_an': 0}
  • id: 36318364
    {'hecke_orbit_code': 13511005090874119, 'n': 907, 'trace_an': 0}
  • id: 36318365
    {'hecke_orbit_code': 13511005090874119, 'n': 911, 'trace_an': 0}
  • id: 36318366
    {'hecke_orbit_code': 13511005090874119, 'n': 919, 'trace_an': -3786}
  • id: 36318367
    {'hecke_orbit_code': 13511005090874119, 'n': 929, 'trace_an': 0}
  • id: 36318368
    {'hecke_orbit_code': 13511005090874119, 'n': 937, 'trace_an': 330}
  • id: 36318369
    {'hecke_orbit_code': 13511005090874119, 'n': 941, 'trace_an': 0}
  • id: 36318370
    {'hecke_orbit_code': 13511005090874119, 'n': 947, 'trace_an': 0}
  • id: 36318371
    {'hecke_orbit_code': 13511005090874119, 'n': 953, 'trace_an': 0}
  • id: 36318372
    {'hecke_orbit_code': 13511005090874119, 'n': 961, 'trace_an': 2883}
  • id: 36318373
    {'hecke_orbit_code': 13511005090874119, 'n': 967, 'trace_an': 0}
  • id: 36318374
    {'hecke_orbit_code': 13511005090874119, 'n': 971, 'trace_an': -3474}
  • id: 36318375
    {'hecke_orbit_code': 13511005090874119, 'n': 977, 'trace_an': 0}
  • id: 36318376
    {'hecke_orbit_code': 13511005090874119, 'n': 983, 'trace_an': 0}
  • id: 36318377
    {'hecke_orbit_code': 13511005090874119, 'n': 991, 'trace_an': 0}
  • id: 36318378
    {'hecke_orbit_code': 13511005090874119, 'n': 997, 'trace_an': 0}