Newform data - 441.6.a.v

Formats: - HTML - YAML - JSON - 2024-04-19T21:25:59.091645

• 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
  conrey_indexes	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_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	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': 15876, 'analytic_conductor': 70.72926453752446, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, -1], [7, -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': [441, 1, [344, 199], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 4, 'field_disc': 1634484444, 'field_disc_factorization': [[2, 2], [3, 1], [167, 1], [227, 1], [3593, 1]], 'field_poly': [294, 7, -97, -1, 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, [204, -186, -94, 3, 1]], [5, [-3188244, 302700, -7657, 0, 1]], [13, [149501563456, -515112852, -1148423, 462, 1]]], 'hecke_orbit': 22, 'hecke_orbit_code': 94575592275444153, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 7, 'hecke_ring_index_factorization': [[7, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '441.6.a.v', 'level': 441, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [3, 7], 'level_radical': 21, 'minimal_twist': '21.6.e.c', 'prim_orbit_index': 1, 'qexp_display': 'q+(-1+\\beta _{1})q^{2}+(18-\\beta _{1}+\\beta _{2})q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '5.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '441.6.a', 'trace_display': [-3, 0, 0, 0], 'trace_hash': 853843050595040971, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.787', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.368', 'prec': 17}, {'__RealLiteral__': 0, 'data': '41.407', 'prec': 20}, {'__RealLiteral__': 0, 'data': '22.231', 'prec': 20}, {'__RealLiteral__': 0, 'data': '703.844', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.003', 'prec': 17}, 'traces': [4, -3, 0, 69, 0, 0, 0, -123, 0, -283, -402, 0, -462, 0, 0, 3273, 276, 0, -510, 4719, 0, 1375, -6900, 0, 2814, -15138, 0, 0, -540, 0, 6410, -15519, 0, -21144, 0, 0, 15250, -41250, 0, 8547, 4308, 0, 29198, -70743, 0, 61800, -15060, 0, 0, 7302, 0, 47476, -13692, 0, -73124, 0, 0, 52309, 34830, 0, 5364, 16029, 0, -73487, -66864, 0, -5994, -58272, 0, 0, -89268, 0, -59638, 185442, 0, -21308, 0, 0, -44062, -33381, 0, -57596, -208446, 0, 36324, 136968, 0, 87597, -77520, 0, 0, -158256, 0, 73722, 221376, 0, 188630, 0, 0, -573116, 160428, 0, -147938, -719424, 0, -231783, 37038, 0, 77542, -9603, 0, 0, -159804, 0, -326628, 813987, 0, -200187, 0, 0, -5874, -176574, 0, -591763, -908100, 0, 73318, -58887, 0, -283496, -633390, 0, 0, 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• 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], [-1, 1, 0, 0], [0, 0, 0, 0], [18, -1, 1, 0], [1, -2, 1, 1], [0, 0, 0, 0], [0, 0, 0, 0], [-38, 27, -1, 2], [0, 0, 0, 0], [-76, 23, 1, 0], [-107, 8, -9, -3], [0, 0, 0, 0], [-96, -76, 1, -9], [0, 0, 0, 0], [0, 0, 0, 0], [840, -85, 1, -6], [92, -108, -8, 4], [0, 0, 0, 0], [-72, -220, 1, 15], [1168, 29, -9, -30], [0, 0, 0, 0], [448, -419, -1, -12], [-1804, 300, -8, -20], [0, 0, 0, 0], [636, 80, -95, -45], [-3865, 116, -103, 20], [0, 0, 0, 0], [0, 0, 0, 0], [-147, 254, 103, -5], [0, 0, 0, 0], [1523, 130, -94, -24], [-3948, 131, -71, -50], [0, 0, 0, 0], [-5256, -312, -96, -24], [0, 0, 0, 0], [0, 0, 0, 0], [3508, 1028, -95, -9], [-10321, -316, -175, -28], [0, 0, 0, 0], [1932, 633, -93, 42], [1128, -328, -62, 142], [0, 0, 0, 0], [7142, 816, 93, -33], [-17864, 379, -167, 118], [0, 0, 0, 0], [16008, -1752, 240, 24], [-3818, 324, 56, -28], [0, 0, 0, 0], [0, 0, 0, 0], [2399, -2404, -55, -100], [0, 0, 0, 0], [13450, -6036, 144, 42], [-3095, -1338, -13, 239], [0, 0, 0, 0], 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8416924, 9312820]], 'char_orbit_index': 1, 'field_poly': [294, 7, -97, -1, 1], 'hecke_orbit_code': 94575592275444153, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 1, 1, 2], 'hecke_ring_inverse_denominators': [1, 1, 1, 1], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0], [0, 1, 0, 0], [49, 1, 1, 0], [46, 91, 2, 2]], 'hecke_ring_numerators': [[1, 0, 0, 0], [0, 1, 0, 0], [-49, -1, 1, 0], [52, -89, -2, 1]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 4, 'label': '441.6.a.v', 'level': 441, 'maxp': 2999, 'weight': 6}
• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  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_prime	boolean
  level_is_prime_power	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

  
  {'AL_dims': [[[[3, -1], [7, -1]], 24, 15], [[[3, 1], [7, -1]], 19, 6], [[[3, -1], [7, 1]], 25, 7], [[[3, 1], [7, 1]], 15, 3]], 'ALdims': [15, 19, 25, 24], 'Nk2': 15876, 'analytic_conductor': 70.72926453752446, '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': [441, 1, [344, 199], [1, 1]], 'conrey_index': 1, 'cusp_dim': 264, 'dim': 83, 'eis_dim': 32, 'eis_new_dim': 5, 'hecke_cutter_primes': [2, 5, 13], 'hecke_orbit_code': 100663737, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 4, 4, 4, 6, 6, 6, 6, 8], 'label': '441.6.a', 'level': 441, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [3, 7], 'level_radical': 21, 'mf_dim': 296, 'mf_new_dim': 88, 'num_forms': 31, 'plus_dim': 39, 'prim_orbit_index': 1, 'relative_dim': 83, 'sturm_bound': 336, 'trace_bound': 13, 'trace_display': [2, 0, -36, 0], 'traces': [83, 2, 0, 1296, -36, 0, 0, 132, 0, 192, 200, 0, 104, 0, 0, 18876, -2208, 0, -4312, -7764, 0, -4964, 6304, 0, 46469, 5544, 0, 0, 7618, 0, 5576, 5836, 0, 18522, 0, 0, 17366, -26526, 0, 26136, -13008, 0, -26896, 30376, 0, 50612, -8832, 0, 0, 70322, 0, 64532, -29558, 0, -14472, 0, 0, 93092, -58176, 0, 23432, 131004, 0, 238484, -47580, 0, -172056, -105270, 0, 0, 150668, 0, 1964, 280596, 0, -207970, 0, 0, 37540, -498564, 0, 137586, 172560, 0, -159324, -635940, 0, -468000, -77016, 0, 0, 562352, 0, 646404, 321228, 0, -147724, 0, 0, 841968, -675348, 0, -158248, 487152, 0, 56, -279988, 0, -216466, -205920, 0, 0, 976942, 0, 523704, 873824, 0, -73890, 0, 0, 1156347, -1541532, 0, 615404, 46008, 0, -152724, 821220, 0, 1149936, -332016, 0, 0, 1297472, 0, 1601574, 1157554, 0, -175312, 0, 0, 1903168, -1235904, 0, 625656, 565062, 0, -338488, 3194, 0, 162152, -318978, 0, 0, 1119684, 0, 812000, 732616, 0, -761280, 0, 0, 684, -2557302, 0, -2069130, 328656, 0, 1584077, -679284, 0, -1172440, -1021212, 0, 0, 4032640, 0, -174354, -449248, 0, 57512, 0, 0, 3474528, -1224408, 0, 2438136, 731652, 0, -48852, -2185508, 0, 510686, 21354, 0, 0, -1820194, 0, 1715168, -1165332, 0, -1231416, 0, 0, -1236456, -837396, 0, -279748, 602736, 0, -2998924, -3849232, 0, -4919660, -1299984, 0, 0, -450780, 0, 1061640, 2583960, 0, 472400, 0, 0, -2348548, 1681440, 0, -2427928, 966192, 0, 4237176, -1470538, 0, -2034456, 2832738, 0, 0, -4074364, 0, -2320732, -5379410, 0, 1904192, 0, 0, -1737356, 3926148, 0, 4430688, -438912, 0, 1457732, 5269100, 0, 5747132, -2407560, 0, 0, 387624, 0, -4474578, 1561312, 0, -1952280, 0, 0, -7057064, 4826964, 0, 3018920, -2221854, 0, -14223280, 6134744, 0, 908554, 6466590, 0, 0, -8553514, 0, -2145496, 3659728, 0, 1053240, 0, 0, -2472151, 6924120, 0, -14293138, -5667012, 0, 16808904, 11024160, 0, 9822784, -2766960, 0, 0, -2486388, 0, -7944634, 1998180, 0, 7279832, 0, 0, -667692, 7732992, 0, 6852044, -5399592, 0, -5180016, 9691402, 0, 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• 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: 324158
    {'conductor': 21, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '441.6.a.v', 'source_level': 441, 'target_char_orbit': 5, 'target_dim': 8, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '21.6.e.c', 'target_level': 21, 'twist_class_label': '21.6.e.c', 'twist_class_level': 21, 'twisting_char_label': '21.g', 'twisting_char_orbit': 7, 'weight': 6}
  • id: 324159
    {'conductor': 7, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '441.6.a.v', 'source_level': 441, 'target_char_orbit': 5, 'target_dim': 8, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '63.6.e.e', 'target_level': 63, 'twist_class_label': '21.6.e.c', 'twist_class_level': 21, 'twisting_char_label': '7.d', 'twisting_char_orbit': 4, 'weight': 6}
  • id: 324160
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '441.6.a.v', 'source_level': 441, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 12, 'target_is_minimal': False, 'target_label': '147.6.a.l', 'target_level': 147, 'twist_class_label': '21.6.e.c', 'twist_class_level': 21, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 6}
  • id: 324161
    {'conductor': 21, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '441.6.a.v', 'source_level': 441, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 13, 'target_is_minimal': False, 'target_label': '147.6.a.m', 'target_level': 147, 'twist_class_label': '21.6.e.c', 'twist_class_level': 21, 'twisting_char_label': '21.c', 'twisting_char_orbit': 3, 'weight': 6}
  • id: 324162
    {'conductor': 21, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '441.6.a.v', 'source_level': 441, 'target_char_orbit': 5, 'target_dim': 8, 'target_hecke_orbit': 15, 'target_is_minimal': False, 'target_label': '147.6.e.o', 'target_level': 147, 'twist_class_label': '21.6.e.c', 'twist_class_level': 21, 'twisting_char_label': '21.h', 'twisting_char_orbit': 8, 'weight': 6}
  • id: 324163
    {'conductor': 84, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '441.6.a.v', 'source_level': 441, 'target_char_orbit': 17, 'target_dim': 8, 'target_hecke_orbit': 10, 'target_is_minimal': False, 'target_label': '336.6.q.j', 'target_level': 336, 'twist_class_label': '21.6.e.c', 'twist_class_level': 21, 'twisting_char_label': '84.j', 'twisting_char_orbit': 10, 'weight': 6}
  • id: 324164
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '441.6.a.v', 'source_level': 441, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 22, 'target_is_minimal': False, 'target_label': '441.6.a.v', 'target_level': 441, 'twist_class_label': '21.6.e.c', 'twist_class_level': 21, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 6}
  • id: 324165
    {'conductor': 7, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '441.6.a.v', 'source_level': 441, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 23, 'target_is_minimal': False, 'target_label': '441.6.a.w', 'target_level': 441, 'twist_class_label': '21.6.e.c', 'twist_class_level': 21, 'twisting_char_label': '7.b', 'twisting_char_orbit': 2, 'weight': 6}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 895175
    {'charpoly_factorization': [[[204, -186, -94, 3, 1], 1]], 'hecke_orbit_code': 94575592275444153, 'p': 2}
  • id: 895176
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 94575592275444153, 'p': 3}
  • id: 895177
    {'charpoly_factorization': [[[-3188244, 302700, -7657, 0, 1], 1]], 'hecke_orbit_code': 94575592275444153, 'p': 5}
  • id: 895178
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 94575592275444153, 'p': 7}
  • id: 895179
    {'charpoly_factorization': [[[-1682132124, -100810572, -238363, 402, 1], 1]], 'hecke_orbit_code': 94575592275444153, 'p': 11}
  • id: 895180
    {'charpoly_factorization': [[[149501563456, -515112852, -1148423, 462, 1], 1]], 'hecke_orbit_code': 94575592275444153, 'p': 13}
  • id: 895181
    {'charpoly_factorization': [[[-50104147968, 894878208, -1594752, -276, 1], 1]], 'hecke_orbit_code': 94575592275444153, 'p': 17}
  • id: 895182
    {'charpoly_factorization': [[[7391138416576, -797823780, -5896871, 510, 1], 1]], 'hecke_orbit_code': 94575592275444153, 'p': 19}
  • id: 895183
    {'charpoly_factorization': [[[3007939608576, -17122936320, 7121856, 6900, 1], 1]], 'hecke_orbit_code': 94575592275444153, 'p': 23}
  • id: 895184
    {'charpoly_factorization': [[[408027025117872, -62527747272, -52650397, 540, 1], 1]], 'hecke_orbit_code': 94575592275444153, 'p': 29}
  • id: 895185
    {'charpoly_factorization': [[[86716089209547, 58618529034, -17713868, -6410, 1], 1]], 'hecke_orbit_code': 94575592275444153, 'p': 31}
  • id: 895186
    {'charpoly_factorization': [[[-5042926288839456, 1497067500180, -46856207, -15250, 1], 1]], 'hecke_orbit_code': 94575592275444153, 'p': 37}
  • id: 895187
    {'charpoly_factorization': [[[-1856858915261952, -1101575496480, -192741244, -4308, 1], 1]], 'hecke_orbit_code': 94575592275444153, 'p': 41}
  • id: 895188
    {'charpoly_factorization': [[[-991662745581932, -199921376588, 199961493, -29198, 1], 1]], 'hecke_orbit_code': 94575592275444153, 'p': 43}
  • id: 895189
    {'charpoly_factorization': [[[-270685655359056, -44937987408, 50649744, 15060, 1], 1]], 'hecke_orbit_code': 94575592275444153, 'p': 47}
  • id: 895190
    {'charpoly_factorization': [[[-8505482723267472, -8038879393320, -497907429, 13692, 1], 1]], 'hecke_orbit_code': 94575592275444153, 'p': 53}
  • id: 895191
    {'charpoly_factorization': [[[-2578852214901936, 461620404360, 188256441, -34830, 1], 1]], 'hecke_orbit_code': 94575592275444153, 'p': 59}
  • id: 895192
    {'charpoly_factorization': [[[17942190625624624, 3379722031440, -532596176, -5364, 1], 1]], 'hecke_orbit_code': 94575592275444153, 'p': 61}
  • id: 895193
    {'charpoly_factorization': [[[550087288501666684, 4941755739000, -2845994891, 5994, 1], 1]], 'hecke_orbit_code': 94575592275444153, 'p': 67}
  • id: 895194
    {'charpoly_factorization': [[[21932335650275568, -16377596837712, 1521744768, 89268, 1], 1]], 'hecke_orbit_code': 94575592275444153, 'p': 71}
  • id: 895195
    {'charpoly_factorization': [[[-122130292613870700, -20327373037020, 362940181, 59638, 1], 1]], 'hecke_orbit_code': 94575592275444153, 'p': 73}
  • id: 895196
    {'charpoly_factorization': [[[165231063841623259, 14857064631634, -3781804908, 44062, 1], 1]], 'hecke_orbit_code': 94575592275444153, 'p': 79}
  • id: 895197
    {'charpoly_factorization': [[[-41533908097096407132, -738604511000820, 7607249829, 208446, 1], 1]], 'hecke_orbit_code': 94575592275444153, 'p': 83}
  • id: 895198
    {'charpoly_factorization': [[[-47322044296216531968, -1866206095720704, -16806213508, 77520, 1], 1]], 'hecke_orbit_code': 94575592275444153, 'p': 89}
  • id: 895199
    {'charpoly_factorization': [[[-11638556269792123644, 99054118022220, 9271508101, -188630, 1], 1]], 'hecke_orbit_code': 94575592275444153, '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': 22, 'label': '441.6.a.v', 'level': 441, 'portrait': 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', 'weight': 6}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 252993000
    {'hecke_orbit_code': 94575592275444153, 'n': 1, 'trace_an': 4}
  • id: 252993001
    {'hecke_orbit_code': 94575592275444153, 'n': 2, 'trace_an': -3}
  • id: 252993002
    {'hecke_orbit_code': 94575592275444153, 'n': 3, 'trace_an': 0}
  • id: 252993003
    {'hecke_orbit_code': 94575592275444153, 'n': 4, 'trace_an': 69}
  • id: 252993004
    {'hecke_orbit_code': 94575592275444153, 'n': 5, 'trace_an': 0}
  • id: 252993005
    {'hecke_orbit_code': 94575592275444153, 'n': 6, 'trace_an': 0}
  • id: 252993006
    {'hecke_orbit_code': 94575592275444153, 'n': 7, 'trace_an': 0}
  • id: 252993007
    {'hecke_orbit_code': 94575592275444153, 'n': 8, 'trace_an': -123}
  • id: 252993008
    {'hecke_orbit_code': 94575592275444153, 'n': 9, 'trace_an': 0}
  • id: 252993009
    {'hecke_orbit_code': 94575592275444153, 'n': 10, 'trace_an': -283}
  • id: 252993010
    {'hecke_orbit_code': 94575592275444153, 'n': 11, 'trace_an': -402}
  • id: 252993011
    {'hecke_orbit_code': 94575592275444153, 'n': 12, 'trace_an': 0}
  • id: 252993012
    {'hecke_orbit_code': 94575592275444153, 'n': 13, 'trace_an': -462}
  • id: 252993013
    {'hecke_orbit_code': 94575592275444153, 'n': 14, 'trace_an': 0}
  • id: 252993014
    {'hecke_orbit_code': 94575592275444153, 'n': 15, 'trace_an': 0}
  • id: 252993015
    {'hecke_orbit_code': 94575592275444153, 'n': 16, 'trace_an': 3273}
  • id: 252993016
    {'hecke_orbit_code': 94575592275444153, 'n': 17, 'trace_an': 276}
  • id: 252993017
    {'hecke_orbit_code': 94575592275444153, 'n': 18, 'trace_an': 0}
  • id: 252993018
    {'hecke_orbit_code': 94575592275444153, 'n': 19, 'trace_an': -510}
  • id: 252993019
    {'hecke_orbit_code': 94575592275444153, 'n': 20, 'trace_an': 4719}
  • id: 252993020
    {'hecke_orbit_code': 94575592275444153, 'n': 21, 'trace_an': 0}
  • id: 252993021
    {'hecke_orbit_code': 94575592275444153, 'n': 22, 'trace_an': 1375}
  • id: 252993022
    {'hecke_orbit_code': 94575592275444153, 'n': 23, 'trace_an': -6900}
  • id: 252993023
    {'hecke_orbit_code': 94575592275444153, 'n': 24, 'trace_an': 0}
  • id: 252993024
    {'hecke_orbit_code': 94575592275444153, 'n': 25, 'trace_an': 2814}
  • id: 252993025
    {'hecke_orbit_code': 94575592275444153, 'n': 26, 'trace_an': -15138}
  • id: 252993026
    {'hecke_orbit_code': 94575592275444153, 'n': 27, 'trace_an': 0}
  • id: 252993027
    {'hecke_orbit_code': 94575592275444153, 'n': 28, 'trace_an': 0}
  • id: 252993028
    {'hecke_orbit_code': 94575592275444153, 'n': 29, 'trace_an': -540}
  • id: 252993029
    {'hecke_orbit_code': 94575592275444153, 'n': 30, 'trace_an': 0}
  • id: 252993030
    {'hecke_orbit_code': 94575592275444153, 'n': 31, 'trace_an': 6410}
  • id: 252993031
    {'hecke_orbit_code': 94575592275444153, 'n': 32, 'trace_an': -15519}
  • id: 252993032
    {'hecke_orbit_code': 94575592275444153, 'n': 33, 'trace_an': 0}
  • id: 252993033
    {'hecke_orbit_code': 94575592275444153, 'n': 34, 'trace_an': -21144}
  • id: 252993034
    {'hecke_orbit_code': 94575592275444153, 'n': 35, 'trace_an': 0}
  • id: 252993035
    {'hecke_orbit_code': 94575592275444153, 'n': 36, 'trace_an': 0}
  • id: 252993036
    {'hecke_orbit_code': 94575592275444153, 'n': 37, 'trace_an': 15250}
  • id: 252993037
    {'hecke_orbit_code': 94575592275444153, 'n': 38, 'trace_an': -41250}
  • id: 252993038
    {'hecke_orbit_code': 94575592275444153, 'n': 39, 'trace_an': 0}
  • id: 252993039
    {'hecke_orbit_code': 94575592275444153, 'n': 40, 'trace_an': 8547}
  • id: 252993040
    {'hecke_orbit_code': 94575592275444153, 'n': 41, 'trace_an': 4308}
  • id: 252993041
    {'hecke_orbit_code': 94575592275444153, 'n': 42, 'trace_an': 0}
  • id: 252993042
    {'hecke_orbit_code': 94575592275444153, 'n': 43, 'trace_an': 29198}
  • id: 252993043
    {'hecke_orbit_code': 94575592275444153, 'n': 44, 'trace_an': -70743}
  • id: 252993044
    {'hecke_orbit_code': 94575592275444153, 'n': 45, 'trace_an': 0}
  • id: 252993045
    {'hecke_orbit_code': 94575592275444153, 'n': 46, 'trace_an': 61800}
  • id: 252993046
    {'hecke_orbit_code': 94575592275444153, 'n': 47, 'trace_an': -15060}
  • id: 252993047
    {'hecke_orbit_code': 94575592275444153, 'n': 48, 'trace_an': 0}
  • id: 252993048
    {'hecke_orbit_code': 94575592275444153, 'n': 49, 'trace_an': 0}
  • id: 252993049
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    {'hecke_orbit_code': 94575592275444153, 'n': 977, 'trace_an': 23795544}
  • id: 252993977
    {'hecke_orbit_code': 94575592275444153, 'n': 978, 'trace_an': 0}
  • id: 252993978
    {'hecke_orbit_code': 94575592275444153, 'n': 979, 'trace_an': -86375696}
  • id: 252993979
    {'hecke_orbit_code': 94575592275444153, 'n': 980, 'trace_an': 0}
  • id: 252993980
    {'hecke_orbit_code': 94575592275444153, 'n': 981, 'trace_an': 0}
  • id: 252993981
    {'hecke_orbit_code': 94575592275444153, 'n': 982, 'trace_an': 94348247}
  • id: 252993982
    {'hecke_orbit_code': 94575592275444153, 'n': 983, 'trace_an': 70570896}
  • id: 252993983
    {'hecke_orbit_code': 94575592275444153, 'n': 984, 'trace_an': 0}
  • id: 252993984
    {'hecke_orbit_code': 94575592275444153, 'n': 985, 'trace_an': -10438772}
  • id: 252993985
    {'hecke_orbit_code': 94575592275444153, 'n': 986, 'trace_an': -86849016}
  • id: 252993986
    {'hecke_orbit_code': 94575592275444153, 'n': 987, 'trace_an': 0}
  • id: 252993987
    {'hecke_orbit_code': 94575592275444153, 'n': 988, 'trace_an': 245518656}
  • id: 252993988
    {'hecke_orbit_code': 94575592275444153, 'n': 989, 'trace_an': 5072568}
  • id: 252993989
    {'hecke_orbit_code': 94575592275444153, 'n': 990, 'trace_an': 0}
  • id: 252993990
    {'hecke_orbit_code': 94575592275444153, 'n': 991, 'trace_an': 33780254}
  • id: 252993991
    {'hecke_orbit_code': 94575592275444153, 'n': 992, 'trace_an': 25151313}
  • id: 252993992
    {'hecke_orbit_code': 94575592275444153, 'n': 993, 'trace_an': 0}
  • id: 252993993
    {'hecke_orbit_code': 94575592275444153, 'n': 994, 'trace_an': 0}
  • id: 252993994
    {'hecke_orbit_code': 94575592275444153, 'n': 995, 'trace_an': 60700944}
  • id: 252993995
    {'hecke_orbit_code': 94575592275444153, 'n': 996, 'trace_an': 0}
  • id: 252993996
    {'hecke_orbit_code': 94575592275444153, 'n': 997, 'trace_an': 67333710}
  • id: 252993997
    {'hecke_orbit_code': 94575592275444153, 'n': 998, 'trace_an': -75301308}
  • id: 252993998
    {'hecke_orbit_code': 94575592275444153, 'n': 999, 'trace_an': 0}
  • id: 252993999
    {'hecke_orbit_code': 94575592275444153, 'n': 1000, 'trace_an': 30565077}