Embedded newform data - 112.10.a.c.1.2

Formats: - HTML - YAML - JSON - 2025-12-08T15:22:21.090398

• 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': 11200, 'analytic_conductor': 57.68401365035379, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [7, 1]], 'atkin_lehner_string': '-+', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [112, 1, [15, 85, 17], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 2305, 'field_disc_factorization': [[5, 1], [461, 1]], 'field_poly': [-576, -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': [[3, [-57576, -14, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007199422513264, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 2, 'hecke_ring_index_factorization': [[2, 1]], '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': '112.10.a.c', 'level': 112, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 7], 'level_radical': 14, 'minimal_twist': '14.10.a.c', 'nf_label': '2.2.2305.1', 'prim_orbit_index': 1, 'qexp_display': 'q+(7+5\\beta )q^{3}+(-1365-21\\beta )q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '9.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '112.10.a', 'trace_display': [0, 14, -2730, -4802], 'trace_hash': 1815445263885060790, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.952', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9.644', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '68.167', 'prec': 20}], 'trace_zratio': 0, 'traces': [2, 0, 14, 0, -2730, 0, -4802, 0, 75982, 0, -44940, 0, 100282, 0, -503160, 0, -870408, 0, -508774, 0, -33614, 0, -79800, 0, 1853210, 0, 1869812, 0, 2006328, 0, -2188732, 0, 23887920, 0, 6554730, 0, -20723576, 0, 5888224, 0, 19016592, 0, -4193716, 0, -110492130, 0, 74542524, 0, 11529602, 0, 30556644, 0, -3239748, 0, -40307400, 0, 306576332, 0, 133642362, 0, 227801686, 0, -182432782, 0, -158667180, 0, -332930272, 0, 164018400, 0, 167985720, 0, -44684276, 0, 1334428970, 0, 107900940, 0, -269642776, 0, 638826478, 0, 183105762, 0, 1034179020, 0, 2768288796, 0, 791657748, 0, -240777082, 0, -921877624, 0, -608102040, 0, -4169480, 0, -1368480540, 0, -863378250, 0, -395840452, 0, 1208087160, 0, 66108456, 0, 272767504, 0, 3151315468, 0, -77077128, 0, -582296400, 0, 3882420962, 0, 2089849608, 0, 1376431418, 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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-0.41141806424135613, None, -0.20355425700463287, -0.20218953391601047, -0.33723075925961066, -0.19399401096666083, -0.23200167302624014, -0.07715496647415339, -0.29683228382848226, -0.27449896304305893, -0.0506203757289523, -0.1975563914196617, -0.1821986273800092, -0.2833833195189372, -0.13785374210867396, -0.19574075066256955, -0.29249454508540507, -0.33570365445601075, -0.1569627640537179, -0.25656097915020204, -0.1769240555490159, -0.14567761131740825, -0.3131330384383843, -0.2507974981900035, -0.35478994329250524, -0.22141641873745616, -0.2606073949640996, -0.27679502822318064, -0.32284337592815826, -0.309348079138431, -0.11795150509697824, -0.2911855436309034, -0.2919521779902182, -0.16923060193800293, -0.08009921059680439, -0.3167130300271725, -0.1982488625380839, -0.09859599633512807, -0.3442788105617139, -0.3525545371341078, -0.3812576630193755, -0.23883456662877497, -0.15436115479428433, -0.24222320336919187, -0.25998567557061847, -0.04201434976666169, -0.4260867417804711, 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-0.21149959257970374, -0.44328438008245863, -0.15938820371736293, -0.31478834771481895, -0.09626054638617812, -0.3411009848319142, -0.3099565683945407, -0.3328968444842843, -0.31849829380257216, -0.23451864335154565, -0.20809414719898414, -0.2947056963801961, -0.12638473240846387, -0.4433200428963974, -0.28808527082974955, -0.3530410475044333, -0.39604807052148716, -0.15084163042840262, -0.2752559770645896, -0.17117134871459597, -0.2382369380187797, -0.36501869503911855, -0.21523670779259194, -0.26286624578650997, -0.24146502592141364, -0.28668606686146136, -0.2927133040051322], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': 0.0, 'embedding_root_real': 24.505207768315607, 'hecke_orbit': 3, 'hecke_orbit_code': 9007199422513264, 'label': '112.10.a.c.1.2', 'level': 112, 'weight': 10}
• 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': [7, 7, 7, 6], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [3, 3, 3, 3], 'ALdims_old': [26, 29, 27, 29], 'Nk2': 11200, 'analytic_conductor': 57.68401365035379, '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': [112, 1, [15, 85, 17], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 138, 'dim': 27, 'eis_dim': 12, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 167772272, 'hecke_orbit_dims': [1, 1, 2, 2, 2, 2, 3, 3, 3, 4, 4], 'label': '112.10.a', 'level': 112, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 7], 'level_radical': 14, 'mf_dim': 150, 'mf_new_dim': 27, 'num_forms': 11, 'plus_dim': 13, 'prim_orbit_index': 1, 'relative_dim': 27, 'sturm_bound': 160, 'trace_bound': 5, 'trace_display': [0, 0, 718, 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75828519208416, 0, -73285822948192, 0, 37960717750872, 0, -47871645329464, 0, 70466995353528, 0, -200759325396464, 0, -9550747845882, 0, -34458314425120, 0, 13267865800574, 0, 2772223623288, 0, -32243086281728, 0, 54465476838864, 0, 23222942743502, 0, -118273938864432, 0, 11105604216822, 0, 173955424171280, 0, -38795800513904, 0, 20954652713356, 0, 21365010608172, 0, -33135016848640, 0, 71981041727614, 0, 14746016739328, 0, 83601555383808, 0, -20700312454682, 0, 98033337700635, 0, -66507485484836, 0, 150000200264780, 0, 54619989414152, 0, -122459559808144, 0, -74456704868752, 0, -28907961381656, 0, 4464689576872, 0, -95282054582410, 0, -16209117690392, 0, 104636155883674, 0, 92566710653232, 0, -49857775676044, 0, 13920558789872, 0, 123672447430720, 0, -69129992032560, 0, -2112031715584, 0, -122676140555536, 0, -159649735140226, 0, 150556697841376, 0], 'weight': 10, '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: 40525486
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007199422513264, 'source_is_minimal': False, 'source_label': '112.10.a.c.1.2', 'source_level': 112, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007199422513264, 'target_is_minimal': False, 'target_label': '112.10.a.c.1.2', 'target_level': 112, 'twist_class_label': '14.10.a.c.1.1', 'twist_class_level': 14, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 10}
  • id: 40525487
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007199422513264, 'source_is_minimal': False, 'source_label': '112.10.a.c.1.2', 'source_level': 112, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199422513166, 'target_is_minimal': True, 'target_label': '14.10.a.c.1.1', 'target_level': 14, 'twist_class_label': '14.10.a.c.1.1', 'twist_class_level': 14, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 10}
  • id: 40525488
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007199422513264, 'source_is_minimal': False, 'source_label': '112.10.a.c.1.2', 'source_level': 112, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 63050394950959230, 'target_is_minimal': False, 'target_label': '126.10.a.o.1.2', 'target_level': 126, 'twist_class_label': '14.10.a.c.1.1', 'twist_class_level': 14, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 10}
  • id: 40525489
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007199422513264, 'source_is_minimal': False, 'source_label': '112.10.a.c.1.2', 'source_level': 112, 'target_conrey_index': 99, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 40532534253060446, 'target_is_minimal': False, 'target_label': '350.10.c.j.99.3', 'target_level': 350, 'twist_class_label': '14.10.a.c.1.1', 'twist_class_level': 14, 'twisting_char_label': '20.3', 'twisting_conrey_index': 3, 'weight': 10}
  • id: 40525490
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007199422513264, 'source_is_minimal': False, 'source_label': '112.10.a.c.1.2', 'source_level': 112, 'target_conrey_index': 99, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 40532534253060446, 'target_is_minimal': False, 'target_label': '350.10.c.j.99.2', 'target_level': 350, 'twist_class_label': '14.10.a.c.1.1', 'twist_class_level': 14, 'twisting_char_label': '20.7', 'twisting_conrey_index': 7, 'weight': 10}
  • id: 40525491
    {'conductor': 20, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007199422513264, 'source_is_minimal': False, 'source_label': '112.10.a.c.1.2', 'source_level': 112, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 40532396814106974, 'target_is_minimal': False, 'target_label': '350.10.a.j.1.2', 'target_level': 350, 'twist_class_label': '14.10.a.c.1.1', 'twist_class_level': 14, 'twisting_char_label': '20.19', 'twisting_conrey_index': 19, 'weight': 10}
  • id: 40525492
    {'conductor': 28, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007199422513264, 'source_is_minimal': False, 'source_label': '112.10.a.c.1.2', 'source_level': 112, 'target_conrey_index': 79, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 31525334998319202, 'target_is_minimal': False, 'target_label': '98.10.c.h.79.1', 'target_level': 98, 'twist_class_label': '14.10.a.c.1.1', 'twist_class_level': 14, 'twisting_char_label': '28.3', 'twisting_conrey_index': 3, 'weight': 10}
  • id: 40525493
    {'conductor': 28, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007199422513264, 'source_is_minimal': False, 'source_label': '112.10.a.c.1.2', 'source_level': 112, 'target_conrey_index': 79, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 40532534253060194, 'target_is_minimal': False, 'target_label': '98.10.c.j.79.2', 'target_level': 98, 'twist_class_label': '14.10.a.c.1.1', 'twist_class_level': 14, 'twisting_char_label': '28.11', 'twisting_conrey_index': 11, 'weight': 10}
  • id: 40525494
    {'conductor': 28, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007199422513264, 'source_is_minimal': False, 'source_label': '112.10.a.c.1.2', 'source_level': 112, 'target_conrey_index': 67, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 31525334998319202, 'target_is_minimal': False, 'target_label': '98.10.c.h.67.1', 'target_level': 98, 'twist_class_label': '14.10.a.c.1.1', 'twist_class_level': 14, 'twisting_char_label': '28.19', 'twisting_conrey_index': 19, 'weight': 10}
  • id: 40525495
    {'conductor': 28, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007199422513264, 'source_is_minimal': False, 'source_label': '112.10.a.c.1.2', 'source_level': 112, 'target_conrey_index': 67, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 40532534253060194, 'target_is_minimal': False, 'target_label': '98.10.c.j.67.2', 'target_level': 98, 'twist_class_label': '14.10.a.c.1.1', 'twist_class_level': 14, 'twisting_char_label': '28.23', 'twisting_conrey_index': 23, 'weight': 10}
  • id: 40525496
    {'conductor': 28, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 9007199422513264, 'source_is_minimal': False, 'source_label': '112.10.a.c.1.2', 'source_level': 112, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 18014398677254242, 'target_is_minimal': False, 'target_label': '98.10.a.e.1.2', 'target_level': 98, 'twist_class_label': '14.10.a.c.1.1', 'twist_class_level': 14, 'twisting_char_label': '28.27', 'twisting_conrey_index': 27, 'weight': 10}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 323750
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 9007199422513264, 'p': 2}
  • id: 323751
    {'charpoly_factorization': [[[-57576, -14, 1], 1]], 'hecke_orbit_code': 9007199422513264, 'p': 3}
  • id: 323752
    {'charpoly_factorization': [[[846720, 2730, 1], 1]], 'hecke_orbit_code': 9007199422513264, 'p': 5}
  • id: 323753
    {'charpoly_factorization': [[[2401, 1], 2]], 'hecke_orbit_code': 9007199422513264, 'p': 7}
  • id: 323754
    {'charpoly_factorization': [[[-2036361600, 44940, 1], 1]], 'hecke_orbit_code': 9007199422513264, 'p': 11}
  • id: 323755
    {'charpoly_factorization': [[[2397429256, -100282, 1], 1]], 'hecke_orbit_code': 9007199422513264, 'p': 13}
  • id: 323756
    {'charpoly_factorization': [[[183575251116, 870408, 1], 1]], 'hecke_orbit_code': 9007199422513264, 'p': 17}
  • id: 323757
    {'charpoly_factorization': [[[-352577596856, 508774, 1], 1]], 'hecke_orbit_code': 9007199422513264, 'p': 19}
  • id: 323758
    {'charpoly_factorization': [[[-115915968000, 79800, 1], 1]], 'hecke_orbit_code': 9007199422513264, 'p': 23}
  • id: 323759
    {'charpoly_factorization': [[[-31904129519604, -2006328, 1], 1]], 'hecke_orbit_code': 9007199422513264, 'p': 29}
  • id: 323760
    {'charpoly_factorization': [[[-2367849772544, 2188732, 1], 1]], 'hecke_orbit_code': 9007199422513264, 'p': 31}
  • id: 323761
    {'charpoly_factorization': [[[60225113026444, 20723576, 1], 1]], 'hecke_orbit_code': 9007199422513264, 'p': 37}
  • id: 323762
    {'charpoly_factorization': [[[-527816477266884, -19016592, 1], 1]], 'hecke_orbit_code': 9007199422513264, 'p': 41}
  • id: 323763
    {'charpoly_factorization': [[[-271341247682336, 4193716, 1], 1]], 'hecke_orbit_code': 9007199422513264, 'p': 43}
  • id: 323764
    {'charpoly_factorization': [[[1296550084878144, -74542524, 1], 1]], 'hecke_orbit_code': 9007199422513264, 'p': 47}
  • id: 323765
    {'charpoly_factorization': [[[-494746212296124, 3239748, 1], 1]], 'hecke_orbit_code': 9007199422513264, 'p': 53}
  • id: 323766
    {'charpoly_factorization': [[[1575046316366136, -133642362, 1], 1]], 'hecke_orbit_code': 9007199422513264, 'p': 59}
  • id: 323767
    {'charpoly_factorization': [[[11243934945943024, -227801686, 1], 1]], 'hecke_orbit_code': 9007199422513264, 'p': 61}
  • id: 323768
    {'charpoly_factorization': [[[21401918313456496, 332930272, 1], 1]], 'hecke_orbit_code': 9007199422513264, 'p': 67}
  • id: 323769
    {'charpoly_factorization': [[[-85127259938918400, -167985720, 1], 1]], 'hecke_orbit_code': 9007199422513264, 'p': 71}
  • id: 323770
    {'charpoly_factorization': [[[-83678371011966956, 44684276, 1], 1]], 'hecke_orbit_code': 9007199422513264, 'p': 73}
  • id: 323771
    {'charpoly_factorization': [[[6880003984764544, 269642776, 1], 1]], 'hecke_orbit_code': 9007199422513264, 'p': 79}
  • id: 323772
    {'charpoly_factorization': [[[-76697718543013464, -183105762, 1], 1]], 'hecke_orbit_code': 9007199422513264, 'p': 83}
  • id: 323773
    {'charpoly_factorization': [[[50565747709419876, -791657748, 1], 1]], 'hecke_orbit_code': 9007199422513264, 'p': 89}
  • id: 323774
    {'charpoly_factorization': [[[-451110491471642900, 4169480, 1], 1]], 'hecke_orbit_code': 9007199422513264, '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': 3, 'label': '112.10.a.c', 'level': 112, 'portrait': 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', 'weight': 10}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 29198095
    {'hecke_orbit_code': 9007199422513264, 'n': 1, 'trace_an': 2}
  • id: 29198096
    {'hecke_orbit_code': 9007199422513264, 'n': 2, 'trace_an': 0}
  • id: 29198097
    {'hecke_orbit_code': 9007199422513264, 'n': 3, 'trace_an': 14}
  • id: 29198098
    {'hecke_orbit_code': 9007199422513264, 'n': 4, 'trace_an': 0}
  • id: 29198099
    {'hecke_orbit_code': 9007199422513264, 'n': 5, 'trace_an': -2730}
  • id: 29198100
    {'hecke_orbit_code': 9007199422513264, 'n': 6, 'trace_an': 0}
  • id: 29198101
    {'hecke_orbit_code': 9007199422513264, 'n': 7, 'trace_an': -4802}
  • id: 29198102
    {'hecke_orbit_code': 9007199422513264, 'n': 8, 'trace_an': 0}
  • id: 29198103
    {'hecke_orbit_code': 9007199422513264, 'n': 9, 'trace_an': 75982}
  • id: 29198104
    {'hecke_orbit_code': 9007199422513264, 'n': 10, 'trace_an': 0}
  • id: 29198105
    {'hecke_orbit_code': 9007199422513264, 'n': 11, 'trace_an': -44940}
  • id: 29198106
    {'hecke_orbit_code': 9007199422513264, 'n': 12, 'trace_an': 0}
  • id: 29198107
    {'hecke_orbit_code': 9007199422513264, 'n': 13, 'trace_an': 100282}
  • id: 29198108
    {'hecke_orbit_code': 9007199422513264, 'n': 14, 'trace_an': 0}
  • id: 29198109
    {'hecke_orbit_code': 9007199422513264, 'n': 15, 'trace_an': -503160}
  • id: 29198110
    {'hecke_orbit_code': 9007199422513264, 'n': 16, 'trace_an': 0}
  • id: 29198111
    {'hecke_orbit_code': 9007199422513264, 'n': 17, 'trace_an': -870408}
  • id: 29198112
    {'hecke_orbit_code': 9007199422513264, 'n': 18, 'trace_an': 0}
  • id: 29198113
    {'hecke_orbit_code': 9007199422513264, 'n': 19, 'trace_an': -508774}
  • id: 29198114
    {'hecke_orbit_code': 9007199422513264, 'n': 20, 'trace_an': 0}
  • id: 29198115
    {'hecke_orbit_code': 9007199422513264, 'n': 21, 'trace_an': -33614}
  • id: 29198116
    {'hecke_orbit_code': 9007199422513264, 'n': 22, 'trace_an': 0}
  • id: 29198117
    {'hecke_orbit_code': 9007199422513264, 'n': 23, 'trace_an': -79800}
  • id: 29198118
    {'hecke_orbit_code': 9007199422513264, 'n': 24, 'trace_an': 0}
  • id: 29198119
    {'hecke_orbit_code': 9007199422513264, 'n': 25, 'trace_an': 1853210}
  • id: 29198120
    {'hecke_orbit_code': 9007199422513264, 'n': 26, 'trace_an': 0}
  • id: 29198121
    {'hecke_orbit_code': 9007199422513264, 'n': 27, 'trace_an': 1869812}
  • id: 29198122
    {'hecke_orbit_code': 9007199422513264, 'n': 28, 'trace_an': 0}
  • id: 29198123
    {'hecke_orbit_code': 9007199422513264, 'n': 29, 'trace_an': 2006328}
  • id: 29198124
    {'hecke_orbit_code': 9007199422513264, 'n': 30, 'trace_an': 0}
  • id: 29198125
    {'hecke_orbit_code': 9007199422513264, 'n': 31, 'trace_an': -2188732}
  • id: 29198126
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