Embedded newform data - 225.8.a.z.1.3

Formats: - HTML - YAML - JSON - 2025-09-22T14:27:47.114246

• 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': 14400, 'analytic_conductor': 70.2866307339274, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, -1], [5, -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': [225, 1, [101, 127], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 4, 'field_disc': 866986744, 'field_disc_factorization': [[2, 3], [13, 1], [8336411, 1]], 'field_poly': [400, -150, -81, 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, [9904, -2232, -382, 9, 1]], [7, [-919546603200, 2845121760, -1758204, -1188, 1]]], 'hecke_orbit': 26, 'hecke_orbit_code': 112589990818480353, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 900, 'hecke_ring_index_factorization': [[2, 2], [3, 2], [5, 2]], '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': '225.8.a.z', 'level': 225, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [3, 5], 'level_radical': 15, 'minimal_twist': '15.8.b.a', 'prim_orbit_index': 1, 'qexp_display': 'q+(-2-\\beta _{1})q^{2}+(83+3\\beta _{1}+\\beta _{2})q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '7.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '225.8.a', 'trace_display': [-9, 0, 0, 1188], 'trace_hash': 409135949259818454, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.048', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.830', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.690', 'prec': 17}, {'__RealLiteral__': 0, 'data': '38.716', 'prec': 20}, {'__RealLiteral__': 0, 'data': '11.310', 'prec': 20}, {'__RealLiteral__': 0, 'data': '581.697', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.002', 'prec': 17}, 'traces': [4, -9, 0, 333, 0, 0, 1188, -2043, 0, 0, -5376, 0, 8424, -6762, 0, 43265, -4896, 0, 15232, 0, 0, -44118, -110016, 0, 0, 396762, 0, 674514, 120036, 0, 116864, -621963, 0, -92374, 0, 0, 663768, -1888776, 0, 0, -253824, 0, 1092960, 1289286, 0, 331204, -132840, 0, 1633580, 0, 0, -779274, -1994616, 0, 0, -352830, 0, -742608, 545712, 0, -3216760, -476856, 0, 284297, 0, 0, 2013336, 7540038, 0, 0, 690912, 0, -5498064, 11980638, 0, 6557832, 795744, 0, 7190080, 0, 0, -26456814, 13158432, 0, 0, 9918804, 0, -22119642, 22889448, 0, 12037824, 17368812, 0, 22864448, 0, 0, 17873136, 20819979, 0, 0, 36072204, 0, -1195020, 63583638, 0, 17096614, -34564320, 0, 4214272, 0, 0, 9707418, -36278928, 0, 0, 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• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
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-0.28808617771428763, -0.17071317575207534, -0.2551773797598278, -0.3403167089477362, -0.24255935306148396, -0.19147440823689388, -0.10147671563653161], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 3, 'dual_embedding_m': 3, 'embedding_index': 3, 'embedding_m': 3, 'embedding_root_imag': 0.0, 'embedding_root_real': -7.264400211444073, 'hecke_orbit': 26, 'hecke_orbit_code': 112589990818480353, 'label': '225.8.a.z.1.3', 'level': 225, 'weight': 8}
• 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': [11, 11, 15, 17], 'ALdims_eis_new': [0, 0, 1, 2], 'ALdims_eis_old': [6, 6, 5, 4], 'ALdims_old': [40, 38, 33, 33], 'Nk2': 14400, 'analytic_conductor': 70.2866307339274, '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': [225, 1, [101, 127], [1, 1]], 'conrey_index': 1, 'cusp_dim': 198, 'dim': 54, 'eis_dim': 24, 'eis_new_dim': 3, 'hecke_cutter_primes': [2, 7], 'hecke_orbit_code': 134217953, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 4, 4, 4], 'label': '225.8.a', 'level': 225, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [3, 5], 'level_radical': 15, 'mf_dim': 222, 'mf_new_dim': 57, 'num_forms': 28, 'plus_dim': 28, 'prim_orbit_index': 1, 'relative_dim': 54, 'sturm_bound': 240, 'trace_bound': 7, 'trace_display': [-16, 0, 0, -496], 'traces': [54, -16, 0, 3458, 0, 0, -496, -1476, 0, 0, -468, 0, 5324, 16584, 0, 242698, -43240, 0, -75412, 0, 0, 14400, 43632, 0, 0, 56796, 0, 111632, 63168, 0, 137628, -770924, 0, -1353262, 0, 0, 97364, -119032, 0, 0, 137328, 0, 727376, 289278, 0, -1690388, 1291472, 0, 6779594, 0, 0, 551240, -2524648, 0, 0, 3514140, 0, 6209664, -165564, 0, 785664, 8752152, 0, 11213242, 0, 0, -5498320, -17790968, 0, 0, 11186736, 0, 14588348, -2057916, 0, -36256070, 9688752, 0, -2476552, 0, 0, -10725312, -25350192, 0, 0, 50228532, 0, 16636416, 21674184, 0, -1682308, 10568976, 0, -32071336, 0, 0, -12484420, -64979216, 0, 0, 72265452, 0, 48779456, 10758984, 0, 13075852, 174672, 0, -11442736, 0, 0, -9093376, -88783192, 0, 0, 160498968, 0, 93444288, 5179644, 0, 24621066, 82154216, 0, 158663548, 0, 0, -64372240, -219588756, 0, 0, 10789800, 0, 30668800, -33468258, 0, -285048394, 59289144, 0, -110544784, 0, 0, -35054448, -149515792, 0, 0, 70942338, 0, 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-206981246412, 6231299832, 0, -421654244688, 0, 0, 59424323636, 221064026408, 0, 0], 'weight': 8, 'weight_parity': 1}
• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 48595226
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 112589990818480353, 'source_is_minimal': False, 'source_label': '225.8.a.z.1.3', 'source_level': 225, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 112589990818480353, 'target_is_minimal': False, 'target_label': '225.8.a.z.1.3', 'target_level': 225, 'twist_class_label': '15.8.b.a.4.4', 'twist_class_level': 15, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 8}
  • id: 48595227
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 112589990818480353, 'source_is_minimal': False, 'source_label': '225.8.a.z.1.3', 'source_level': 225, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 40532396780552267, 'target_is_minimal': False, 'target_label': '75.8.a.j.1.2', 'target_level': 75, 'twist_class_label': '15.8.b.a.4.4', 'twist_class_level': 15, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 8}
  • id: 48595228
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 112589990818480353, 'source_is_minimal': False, 'source_label': '225.8.a.z.1.3', 'source_level': 225, 'target_conrey_index': 19, 'target_dim': 8, 'target_embedding_index': 5, 'target_hecke_orbit_code': 13510867735805997, 'target_is_minimal': False, 'target_label': '45.8.b.d.19.5', 'target_level': 45, 'twist_class_label': '15.8.b.a.4.4', 'twist_class_level': 15, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 8}
  • id: 48595229
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 112589990818480353, 'source_is_minimal': False, 'source_label': '225.8.a.z.1.3', 'source_level': 225, 'target_conrey_index': 19, 'target_dim': 8, 'target_embedding_index': 4, 'target_hecke_orbit_code': 13510867735805997, 'target_is_minimal': False, 'target_label': '45.8.b.d.19.4', 'target_level': 45, 'twist_class_label': '15.8.b.a.4.4', 'twist_class_level': 15, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 8}
  • id: 48595230
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 112589990818480353, 'source_is_minimal': False, 'source_label': '225.8.a.z.1.3', 'source_level': 225, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 121597190073221345, 'target_is_minimal': False, 'target_label': '225.8.a.bb.1.2', 'target_level': 225, 'twist_class_label': '15.8.b.a.4.4', 'twist_class_level': 15, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 8}
  • id: 48595231
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 112589990818480353, 'source_is_minimal': False, 'source_label': '225.8.a.z.1.3', 'source_level': 225, 'target_conrey_index': 4, 'target_dim': 8, 'target_embedding_index': 4, 'target_hecke_orbit_code': 68853694479, 'target_is_minimal': True, 'target_label': '15.8.b.a.4.4', 'target_level': 15, 'twist_class_label': '15.8.b.a.4.4', 'twist_class_level': 15, 'twisting_char_label': '15.2', 'twisting_conrey_index': 2, 'weight': 8}
  • id: 48595232
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 112589990818480353, 'source_is_minimal': False, 'source_label': '225.8.a.z.1.3', 'source_level': 225, 'target_conrey_index': 4, 'target_dim': 8, 'target_embedding_index': 5, 'target_hecke_orbit_code': 68853694479, 'target_is_minimal': True, 'target_label': '15.8.b.a.4.5', 'target_level': 15, 'twist_class_label': '15.8.b.a.4.4', 'twist_class_level': 15, 'twisting_char_label': '15.8', 'twisting_conrey_index': 8, 'weight': 8}
  • id: 48595233
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 112589990818480353, 'source_is_minimal': False, 'source_label': '225.8.a.z.1.3', 'source_level': 225, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 36028797153181771, 'target_is_minimal': False, 'target_label': '75.8.a.i.1.3', 'target_level': 75, 'twist_class_label': '15.8.b.a.4.4', 'twist_class_level': 15, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 8}
  • id: 48595234
    {'conductor': 60, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 112589990818480353, 'source_is_minimal': False, 'source_label': '225.8.a.z.1.3', 'source_level': 225, 'target_conrey_index': 49, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014742241083632, 'target_is_minimal': False, 'target_label': '240.8.f.e.49.1', 'target_level': 240, 'twist_class_label': '15.8.b.a.4.4', 'twist_class_level': 15, 'twisting_char_label': '60.23', 'twisting_conrey_index': 23, 'weight': 8}
  • id: 48595235
    {'conductor': 60, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 112589990818480353, 'source_is_minimal': False, 'source_label': '225.8.a.z.1.3', 'source_level': 225, 'target_conrey_index': 49, 'target_dim': 8, 'target_embedding_index': 5, 'target_hecke_orbit_code': 18014742241083632, 'target_is_minimal': False, 'target_label': '240.8.f.e.49.5', 'target_level': 240, 'twist_class_label': '15.8.b.a.4.4', 'twist_class_level': 15, 'twisting_char_label': '60.47', 'twisting_conrey_index': 47, 'weight': 8}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 542275
    {'charpoly_factorization': [[[9904, -2232, -382, 9, 1], 1]], 'hecke_orbit_code': 112589990818480353, 'p': 2}
  • id: 542276
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 112589990818480353, 'p': 3}
  • id: 542277
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 112589990818480353, 'p': 5}
  • id: 542278
    {'charpoly_factorization': [[[-919546603200, 2845121760, -1758204, -1188, 1], 1]], 'hecke_orbit_code': 112589990818480353, 'p': 7}
  • id: 542279
    {'charpoly_factorization': [[[-36924996384576, -48549271968, -9889092, 5376, 1], 1]], 'hecke_orbit_code': 112589990818480353, 'p': 11}
  • id: 542280
    {'charpoly_factorization': [[[750457045131264, 675689236992, -123209172, -8424, 1], 1]], 'hecke_orbit_code': 112589990818480353, 'p': 13}
  • id: 542281
    {'charpoly_factorization': [[[-22340367769673024, 7238345289696, -651253444, 4896, 1], 1]], 'hecke_orbit_code': 112589990818480353, 'p': 17}
  • id: 542282
    {'charpoly_factorization': [[[2339820261041766400, 18534519357440, -3182712384, -15232, 1], 1]], 'hecke_orbit_code': 112589990818480353, 'p': 19}
  • id: 542283
    {'charpoly_factorization': [[[624438029078483200, -89343903144960, 1324638944, 110016, 1], 1]], 'hecke_orbit_code': 112589990818480353, 'p': 23}
  • id: 542284
    {'charpoly_factorization': [[[-9836483973735744000, 536190720755040, -1962816156, -120036, 1], 1]], 'hecke_orbit_code': 112589990818480353, 'p': 29}
  • id: 542285
    {'charpoly_factorization': [[[64486309856450560000, 2762783448880000, -28956572976, -116864, 1], 1]], 'hecke_orbit_code': 112589990818480353, 'p': 31}
  • id: 542286
    {'charpoly_factorization': [[[-1718374536717312441600, 53017229422319040, -20637770004, -663768, 1], 1]], 'hecke_orbit_code': 112589990818480353, 'p': 37}
  • id: 542287
    {'charpoly_factorization': [[[11830266998486115037200, -121028941722620160, -444674643336, 253824, 1], 1]], 'hecke_orbit_code': 112589990818480353, 'p': 41}
  • id: 542288
    {'charpoly_factorization': [[[-58514955683076816931584, 280845201396003840, -40926064608, -1092960, 1], 1]], 'hecke_orbit_code': 112589990818480353, 'p': 43}
  • id: 542289
    {'charpoly_factorization': [[[63718910602631397277696, -308313545372490240, -1104905401072, 132840, 1], 1]], 'hecke_orbit_code': 112589990818480353, 'p': 47}
  • id: 542290
    {'charpoly_factorization': [[[63844872227652039601600, -510051502089568800, 282597856364, 1994616, 1], 1]], 'hecke_orbit_code': 112589990818480353, 'p': 53}
  • id: 542291
    {'charpoly_factorization': [[[69060209222875459665600, 47675788845328800, -3089839278564, -545712, 1], 1]], 'hecke_orbit_code': 112589990818480353, 'p': 59}
  • id: 542292
    {'charpoly_factorization': [[[-76203537596852425167344, -1068947672557713440, -1216784356968, 3216760, 1], 1]], 'hecke_orbit_code': 112589990818480353, 'p': 61}
  • id: 542293
    {'charpoly_factorization': [[[55598287989015033025536, 11925050268749577984, -9910976505264, -2013336, 1], 1]], 'hecke_orbit_code': 112589990818480353, 'p': 67}
  • id: 542294
    {'charpoly_factorization': [[[6400183685811484406317056, 15477521224276795392, -12233893450896, -690912, 1], 1]], 'hecke_orbit_code': 112589990818480353, 'p': 71}
  • id: 542295
    {'charpoly_factorization': [[[-45075737655705886558848000, -43219722126539669760, -3332383624656, 5498064, 1], 1]], 'hecke_orbit_code': 112589990818480353, 'p': 73}
  • id: 542296
    {'charpoly_factorization': [[[-18864339139766941514240000, 4643017104632432000, 12995654917200, -7190080, 1], 1]], 'hecke_orbit_code': 112589990818480353, 'p': 79}
  • id: 542297
    {'charpoly_factorization': [[[93388189368361003445081344, -128306291271920188416, 62856928627232, -13158432, 1], 1]], 'hecke_orbit_code': 112589990818480353, 'p': 83}
  • id: 542298
    {'charpoly_factorization': [[[-2997196292685420289005289200, 381536804965960222560, 120183683454936, -22889448, 1], 1]], 'hecke_orbit_code': 112589990818480353, 'p': 89}
  • id: 542299
    {'charpoly_factorization': [[[364529691211235623446491136, -342322523707745903616, 118246983572736, -17873136, 1], 1]], 'hecke_orbit_code': 112589990818480353, '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': 26, 'label': '225.8.a.z', 'level': 225, 'portrait': 'data:image/png;base64,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', 'weight': 8}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 67105777
    {'hecke_orbit_code': 112589990818480353, 'n': 1, 'trace_an': 4}
  • id: 67105778
    {'hecke_orbit_code': 112589990818480353, 'n': 2, 'trace_an': -9}
  • id: 67105779
    {'hecke_orbit_code': 112589990818480353, 'n': 3, 'trace_an': 0}
  • id: 67105780
    {'hecke_orbit_code': 112589990818480353, 'n': 4, 'trace_an': 333}
  • id: 67105781
    {'hecke_orbit_code': 112589990818480353, 'n': 5, 'trace_an': 0}
  • id: 67105782
    {'hecke_orbit_code': 112589990818480353, 'n': 6, 'trace_an': 0}
  • id: 67105783
    {'hecke_orbit_code': 112589990818480353, 'n': 7, 'trace_an': 1188}
  • id: 67105784
    {'hecke_orbit_code': 112589990818480353, 'n': 8, 'trace_an': -2043}
  • id: 67105785
    {'hecke_orbit_code': 112589990818480353, 'n': 9, 'trace_an': 0}
  • id: 67105786
    {'hecke_orbit_code': 112589990818480353, 'n': 10, 'trace_an': 0}
  • id: 67105787
    {'hecke_orbit_code': 112589990818480353, 'n': 11, 'trace_an': -5376}
  • id: 67105788
    {'hecke_orbit_code': 112589990818480353, 'n': 12, 'trace_an': 0}
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