Embedded newform data - 14.6.c.a.9.1

Formats: - HTML - YAML - JSON - 2025-12-09T04:00:06.205563

• 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': 504, 'analytic_conductor': 2.2453734773817287, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 7, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 3, 'char_parity': 1, 'char_values': [14, 3, [3], [1]], 'cm_discs': [], 'conrey_index': 9, 'dim': 4, 'field_disc': 898704, 'field_disc_factorization': [[2, 4], [3, 2], [79, 2]], 'field_poly': [6241, 0, 79, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [71289, -3738, 463, 14, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 137539616782, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 4, 'hecke_ring_index_factorization': [[2, 2]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 7, 3, 1, 3, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '14.6.c.a', 'level': 14, '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': True, 'level_primes': [2, 7], 'level_radical': 14, 'minimal_twist': '14.6.c.a', 'nf_label': '4.0.898704.3', 'prim_orbit_index': 3, 'qexp_display': 'q+4\\beta _{2}q^{2}+(-7-\\beta _{1}-7\\beta _{2})q^{3}+(-2^{4}+\\cdots)q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '5.2.3.c3', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '14.6.c', 'trace_display': [-8, -14, -70, 0], 'trace_hash': 40293881723731585, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.784', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '52.467', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1295.056', 'prec': 27}], 'trace_zratio': 0, 'traces': [4, -8, -14, -32, -70, 112, 0, 256, -244, -280, -62, -224, 3640, 504, -4076, -512, -1694, -976, -826, 2240, 3542, 496, 2734, -896, -6312, -7280, 14308, -2016, -5704, 8152, 2674, -2048, -4858, 13552, -13286, 7808, 9146, -3304, -21588, -4480, 12264, -35392, -32080, -992, 26852, 10936, 25326, 7168, 56644, 50496, -25762, -29120, -14958, -28616, -31052, 0, -37732, 11408, 1106, 32608, 28042, -21392, 77308, 16384, -28308, -19432, 102642, -27104, -188692, -88424, -22112, -15616, -35070, 36584, 132776, 26432, 27062, 172704, -101762, -17920, 23750, -24528, -89264, 84896, 7348, 64160, 170380, -3968, 75474, -214816, -123872, -87488, 53478, 101304, -127502, -14336, -16632, -113288, 139000, -100992, 42098, -103048, -61810, 232960, -61936, 119664, 146262, -114464, 65010, 62104, 31220, 32256, -361528, 75464, -205142, 45632, -345912, -8848, -9394, -260864, 289212, 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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

  
  {'an_normalized': [[1.0, 0.0], [-0.3535533905932738, 0.6123724356957945], [-0.794703042401175, -1.3764660463683989], [-0.25, -0.4330127018922193], [0.3229379044092867, -0.559344858126706], [1.1238798206229024, 0.0], [-0.959834776841212, -0.28056585887484736], [0.3535533905932738, 0.0], [-0.7631058512033673, 1.3217381058373279], [0.22835158210997972, 0.3955165422032212], [-0.19365839659825707, -0.3354261822205051], [-0.3973515212005875, 0.6882330231841994], [1.9018494313946772, 0.0], [0.5111636381338216, -0.48858134946986614], [-1.0265589405628799, 0.0], [-0.125, 0.21650635094610965], [-0.5195132198918505, -0.8998232920563874], [-0.5395973221490336, -0.9346099775902371], [0.0890587953241101, -0.15425435836223625], [-0.3229379044092867, 0.0], [0.3765942388467487, 1.5441465220872572], [0.2738743309366828, 0.0], [0.6863218969211521, -1.1887443958144852], [-0.2809699551557256, -0.4866542377300658], [0.29142221979147676, 0.5047580911333421], [-0.6724053148674779, 1.1646401686298204], 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[0.22221711644044959, -0.3848913359863079], [0.13498488211426296, 0.23380067407559887], [0.3785140947324858, 0.6556056434576045], [0.0382371709127752, -0.06622872275862147], [1.3865268200600582, 0.0], [-0.2402301086240906, 0.22961717520314498], [-0.7399535101348079, 0.0], [-0.35345940277855276, 0.6122096440254053], [0.6854678890959646, 1.187265210871199], [-0.034552883893421, -0.0598473504514335], [0.11716782906025569, -0.20294063294490802], [0.36144503201275163, 0.0]], 'angles': [None, -0.43714662153382927, -0.3643314159329277, None, -0.11435100418669461, -0.05006783758771191, -0.49638998635194004, -0.40247371500368323, -0.29627873408457933, -0.3573520923468014, -0.04863352771521337, -0.394296767099744, -0.22166327618484089, -0.22412053414275737, -0.35685541836450413, -0.0392420409847868, -0.06540753177568552, -0.3755804333540436, 0.016101624447479066, -0.2877518167409933, -0.4999604559630908, 0.3034458389254647, -0.17664285975322155, -0.3062781751251579, -0.23710055998072882, 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-0.4026735973084028, -0.06468302687014872, -0.006415054684651572, -0.021550909454243247, 0.036867819697885745], 'char_orbit_index': 3, 'conrey_index': 9, 'dual_conrey_index': 11, 'dual_embedding_index': 1, 'dual_embedding_m': 3, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 7.697402159170326, 'embedding_root_real': 4.444097208657794, 'hecke_orbit': 1, 'hecke_orbit_code': 137539616782, 'label': '14.6.c.a.9.1', 'level': 14, 'weight': 6}
• 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

  
  {'Nk2': 504, 'analytic_conductor': 2.2453734773817287, 'char_conductor': 7, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 3, 'char_parity': 1, 'char_values': [14, 3, [3], [1]], 'conrey_index': 9, 'cusp_dim': 16, 'dim': 8, 'eis_dim': 8, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 137539616782, 'hecke_orbit_dims': [4, 4], 'label': '14.6.c', 'level': 14, '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': True, 'level_primes': [2, 7], 'level_radical': 14, 'mf_dim': 24, 'mf_new_dim': 8, 'num_forms': 2, 'prim_orbit_index': 3, 'relative_dim': 4, 'sturm_bound': 12, 'trace_bound': 2, 'trace_display': [0, 0, -28, 232], 'traces': [8, 0, 0, -64, -28, 224, 232, 0, -896, -448, 232, 0, 3360, 272, -3488, -1024, -2996, 1632, 616, 896, 8692, 2848, 88, -1792, -944, -7840, -17136, -6656, -2368, 9328, 17472, 0, 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-117260192, -36943200, 96126112, 13224960, 4206108, -90369440, -141454992, 32686976, -131761152, -13913760, 95534544, -44881920, -67663232, -48195392, 103678200, 26424576, -2098144, -14338688, -16063976, -12414976, -41744472, 15227072, -114781088, -40381696, 70644700, 1212400, 146437200, 59652096], 'weight': 6, '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: 1547455
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 9, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137539616782, 'source_is_minimal': True, 'source_label': '14.6.c.a.9.1', 'source_level': 14, 'target_conrey_index': 9, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 137539616782, 'target_is_minimal': True, 'target_label': '14.6.c.a.9.1', 'target_level': 14, 'twist_class_label': '14.6.c.a.9.1', 'twist_class_level': 14, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 6}
  • id: 1547456
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 9, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137539616782, 'source_is_minimal': True, 'source_label': '14.6.c.a.9.1', 'source_level': 14, 'target_conrey_index': 37, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40532809063858302, 'target_is_minimal': False, 'target_label': '126.6.g.j.37.1', 'target_level': 126, 'twist_class_label': '14.6.c.a.9.1', 'twist_class_level': 14, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 6}
  • id: 1547457
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 9, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137539616782, 'source_is_minimal': True, 'source_label': '14.6.c.a.9.1', 'source_level': 14, 'target_conrey_index': 65, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 13511348738588784, 'target_is_minimal': False, 'target_label': '112.6.i.d.65.2', 'target_level': 112, 'twist_class_label': '14.6.c.a.9.1', 'twist_class_level': 14, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 6}
  • id: 1547458
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 9, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137539616782, 'source_is_minimal': True, 'source_label': '14.6.c.a.9.1', 'source_level': 14, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 31525197492256866, 'target_is_minimal': False, 'target_label': '98.6.a.h.1.2', 'target_level': 98, 'twist_class_label': '14.6.c.a.9.1', 'twist_class_level': 14, 'twisting_char_label': '7.2', 'twisting_conrey_index': 2, 'weight': 6}
  • id: 1547459
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 9, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137539616782, 'source_is_minimal': True, 'source_label': '14.6.c.a.9.1', 'source_level': 14, 'target_conrey_index': 67, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 18014536049098850, 'target_is_minimal': False, 'target_label': '98.6.c.e.67.2', 'target_level': 98, 'twist_class_label': '14.6.c.a.9.1', 'twist_class_level': 14, 'twisting_char_label': '7.3', 'twisting_conrey_index': 3, 'weight': 6}
  • id: 1547460
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 9, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137539616782, 'source_is_minimal': True, 'source_label': '14.6.c.a.9.1', 'source_level': 14, 'target_conrey_index': 11, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 137539616782, 'target_is_minimal': True, 'target_label': '14.6.c.a.11.1', 'target_level': 14, 'twist_class_label': '14.6.c.a.9.1', 'twist_class_level': 14, 'twisting_char_label': '7.4', 'twisting_conrey_index': 4, 'weight': 6}
  • id: 1547461
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 9, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137539616782, 'source_is_minimal': True, 'source_label': '14.6.c.a.9.1', 'source_level': 14, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021597864886370, 'target_is_minimal': False, 'target_label': '98.6.a.g.1.1', 'target_level': 98, 'twist_class_label': '14.6.c.a.9.1', 'twist_class_level': 14, 'twisting_char_label': '7.5', 'twisting_conrey_index': 5, 'weight': 6}
  • id: 1547462
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 9, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137539616782, 'source_is_minimal': True, 'source_label': '14.6.c.a.9.1', 'source_level': 14, 'target_conrey_index': 79, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 18014536049098850, 'target_is_minimal': False, 'target_label': '98.6.c.e.79.2', 'target_level': 98, 'twist_class_label': '14.6.c.a.9.1', 'twist_class_level': 14, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 6}
  • id: 1547463
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 9, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137539616782, 'source_is_minimal': True, 'source_label': '14.6.c.a.9.1', 'source_level': 14, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 117093590412297074, 'target_is_minimal': False, 'target_label': '882.6.a.ba.1.2', 'target_level': 882, 'twist_class_label': '14.6.c.a.9.1', 'twist_class_level': 14, 'twisting_char_label': '21.2', 'twisting_conrey_index': 2, 'weight': 6}
  • id: 1547464
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 9, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137539616782, 'source_is_minimal': True, 'source_label': '14.6.c.a.9.1', 'source_level': 14, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 153122387431261042, 'target_is_minimal': False, 'target_label': '882.6.a.bi.1.1', 'target_level': 882, 'twist_class_label': '14.6.c.a.9.1', 'twist_class_level': 14, 'twisting_char_label': '21.5', 'twisting_conrey_index': 5, 'weight': 6}
  • id: 1547465
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 9, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137539616782, 'source_is_minimal': True, 'source_label': '14.6.c.a.9.1', 'source_level': 14, 'target_conrey_index': 109, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40532809063858302, 'target_is_minimal': False, 'target_label': '126.6.g.j.109.1', 'target_level': 126, 'twist_class_label': '14.6.c.a.9.1', 'twist_class_level': 14, 'twisting_char_label': '21.11', 'twisting_conrey_index': 11, 'weight': 6}
  • id: 1547466
    {'conductor': 28, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 9, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137539616782, 'source_is_minimal': True, 'source_label': '14.6.c.a.9.1', 'source_level': 14, 'target_conrey_index': 81, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 13511348738588784, 'target_is_minimal': False, 'target_label': '112.6.i.d.81.2', 'target_level': 112, 'twist_class_label': '14.6.c.a.9.1', 'twist_class_level': 14, 'twisting_char_label': '28.11', 'twisting_conrey_index': 11, 'weight': 6}
  • id: 1547467
    {'conductor': 28, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 9, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137539616782, 'source_is_minimal': True, 'source_label': '14.6.c.a.9.1', 'source_level': 14, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 121597190039667472, 'target_is_minimal': False, 'target_label': '784.6.a.bb.1.2', 'target_level': 784, 'twist_class_label': '14.6.c.a.9.1', 'twist_class_level': 14, 'twisting_char_label': '28.19', 'twisting_conrey_index': 19, 'weight': 6}
  • id: 1547468
    {'conductor': 28, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 9, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137539616782, 'source_is_minimal': True, 'source_label': '14.6.c.a.9.1', 'source_level': 14, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 81064793393333008, 'target_is_minimal': False, 'target_label': '784.6.a.s.1.1', 'target_level': 784, 'twist_class_label': '14.6.c.a.9.1', 'twist_class_level': 14, 'twisting_char_label': '28.23', 'twisting_conrey_index': 23, 'weight': 6}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 57175
    {'charpoly_factorization': [[[16, 4, 1], 2]], 'hecke_orbit_code': 137539616782, 'p': 2}
  • id: 57176
    {'charpoly_factorization': [[[71289, -3738, 463, 14, 1], 1]], 'hecke_orbit_code': 137539616782, 'p': 3}
  • id: 57177
    {'charpoly_factorization': [[[14676561, -268170, 8731, 70, 1], 1]], 'hecke_orbit_code': 137539616782, 'p': 5}
  • id: 57178
    {'charpoly_factorization': [[[282475249, 0, -28322, 0, 1], 1]], 'hecke_orbit_code': 137539616782, 'p': 7}
  • id: 57179
    {'charpoly_factorization': [[[210917529, -900426, 18367, 62, 1], 1]], 'hecke_orbit_code': 137539616782, 'p': 11}
  • id: 57180
    {'charpoly_factorization': [[[766164, -1820, 1], 2]], 'hecke_orbit_code': 137539616782, 'p': 13}
  • id: 57181
    {'charpoly_factorization': [[[318620736225, 956203710, 2305171, 1694, 1], 1]], 'hecke_orbit_code': 137539616782, 'p': 17}
  • id: 57182
    {'charpoly_factorization': [[[96141544489, -256115342, 992343, 826, 1], 1]], 'hecke_orbit_code': 137539616782, 'p': 19}
  • id: 57183
    {'charpoly_factorization': [[[6792210678969, 7125315258, 10080943, -2734, 1], 1]], 'hecke_orbit_code': 137539616782, 'p': 23}
  • id: 57184
    {'charpoly_factorization': [[[-15866028, 2852, 1], 2]], 'hecke_orbit_code': 137539616782, 'p': 29}
  • id: 57185
    {'charpoly_factorization': [[[691673325561, -2223882906, 6318607, -2674, 1], 1]], 'hecke_orbit_code': 137539616782, 'p': 31}
  • id: 57186
    {'charpoly_factorization': [[[252667333533169, -145380361898, 67753803, -9146, 1], 1]], 'hecke_orbit_code': 137539616782, 'p': 37}
  • id: 57187
    {'charpoly_factorization': [[[8842932, -6132, 1], 2]], 'hecke_orbit_code': 137539616782, 'p': 41}
  • id: 57188
    {'charpoly_factorization': [[[-78380144, 16040, 1], 2]], 'hecke_orbit_code': 137539616782, 'p': 43}
  • id: 57189
    {'charpoly_factorization': [[[24951287358855225, -4000489008390, 483446511, -25326, 1], 1]], 'hecke_orbit_code': 137539616782, 'p': 47}
  • id: 57190
    {'charpoly_factorization': [[[85529669079884481, -4374535293522, 516196323, 14958, 1], 1]], 'hecke_orbit_code': 137539616782, 'p': 53}
  • id: 57191
    {'charpoly_factorization': [[[868886159765625, 32601423750, 30700111, -1106, 1], 1]], 'hecke_orbit_code': 137539616782, 'p': 59}
  • id: 57192
    {'charpoly_factorization': [[[38384562154446225, -5493982610970, 590433979, -28042, 1], 1]], 'hecke_orbit_code': 137539616782, 'p': 61}
  • id: 57193
    {'charpoly_factorization': [[[6575826121535143225, -263208715818330, 7971042799, -102642, 1], 1]], 'hecke_orbit_code': 137539616782, 'p': 67}
  • id: 57194
    {'charpoly_factorization': [[[-177793920, 11056, 1], 2]], 'hecke_orbit_code': 137539616782, 'p': 71}
  • id: 57195
    {'charpoly_factorization': [[[227907887015854081, -16742312474370, 1707301891, 35070, 1], 1]], 'hecke_orbit_code': 137539616782, 'p': 73}
  • id: 57196
    {'charpoly_factorization': [[[620965930233627225, -80189872018230, 11143518559, 101762, 1], 1]], 'hecke_orbit_code': 137539616782, 'p': 79}
  • id: 57197
    {'charpoly_factorization': [[[-5608638000, 44632, 1], 2]], 'hecke_orbit_code': 137539616782, 'p': 83}
  • id: 57198
    {'charpoly_factorization': [[[3677872821661829025, 144742383942030, 7614102771, -75474, 1], 1]], 'hecke_orbit_code': 137539616782, 'p': 89}
  • id: 57199
    {'charpoly_factorization': [[[-349929580, 8316, 1], 2]], 'hecke_orbit_code': 137539616782, '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': 3, 'hecke_orbit': 1, 'label': '14.6.c.a', 'level': 14, 'portrait': 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', 'weight': 6}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 6023815
    {'hecke_orbit_code': 137539616782, 'n': 1, 'trace_an': 4}
  • id: 6023816
    {'hecke_orbit_code': 137539616782, 'n': 2, 'trace_an': -8}
  • id: 6023817
    {'hecke_orbit_code': 137539616782, 'n': 3, 'trace_an': -14}
  • id: 6023818
    {'hecke_orbit_code': 137539616782, 'n': 4, 'trace_an': -32}
  • id: 6023819
    {'hecke_orbit_code': 137539616782, 'n': 5, 'trace_an': -70}
  • id: 6023820
    {'hecke_orbit_code': 137539616782, 'n': 6, 'trace_an': 112}
  • id: 6023821
    {'hecke_orbit_code': 137539616782, 'n': 7, 'trace_an': 0}
  • id: 6023822
    {'hecke_orbit_code': 137539616782, 'n': 8, 'trace_an': 256}
  • id: 6023823
    {'hecke_orbit_code': 137539616782, 'n': 9, 'trace_an': -244}
  • id: 6023824
    {'hecke_orbit_code': 137539616782, 'n': 10, 'trace_an': -280}
  • id: 6023825
    {'hecke_orbit_code': 137539616782, 'n': 11, 'trace_an': -62}
  • id: 6023826
    {'hecke_orbit_code': 137539616782, 'n': 12, 'trace_an': -224}
  • id: 6023827
    {'hecke_orbit_code': 137539616782, 'n': 13, 'trace_an': 3640}
  • id: 6023828
    {'hecke_orbit_code': 137539616782, 'n': 14, 'trace_an': 504}
  • id: 6023829
    {'hecke_orbit_code': 137539616782, 'n': 15, 'trace_an': -4076}
  • id: 6023830
    {'hecke_orbit_code': 137539616782, 'n': 16, 'trace_an': -512}
  • id: 6023831
    {'hecke_orbit_code': 137539616782, 'n': 17, 'trace_an': -1694}
  • id: 6023832
    {'hecke_orbit_code': 137539616782, 'n': 18, 'trace_an': -976}
  • id: 6023833
    {'hecke_orbit_code': 137539616782, 'n': 19, 'trace_an': -826}
  • id: 6023834
    {'hecke_orbit_code': 137539616782, 'n': 20, 'trace_an': 2240}
  • id: 6023835
    {'hecke_orbit_code': 137539616782, 'n': 21, 'trace_an': 3542}
  • id: 6023836
    {'hecke_orbit_code': 137539616782, 'n': 22, 'trace_an': 496}
  • id: 6023837
    {'hecke_orbit_code': 137539616782, 'n': 23, 'trace_an': 2734}
  • id: 6023838
    {'hecke_orbit_code': 137539616782, 'n': 24, 'trace_an': -896}
  • id: 6023839
    {'hecke_orbit_code': 137539616782, 'n': 25, 'trace_an': -6312}
  • id: 6023840
    {'hecke_orbit_code': 137539616782, 'n': 26, 'trace_an': -7280}
  • id: 6023841
    {'hecke_orbit_code': 137539616782, 'n': 27, 'trace_an': 14308}
  • id: 6023842
    {'hecke_orbit_code': 137539616782, 'n': 28, 'trace_an': -2016}
  • id: 6023843
    {'hecke_orbit_code': 137539616782, 'n': 29, 'trace_an': -5704}
  • id: 6023844
    {'hecke_orbit_code': 137539616782, 'n': 30, 'trace_an': 8152}
  • id: 6023845
    {'hecke_orbit_code': 137539616782, 'n': 31, 'trace_an': 2674}
  • id: 6023846
    {'hecke_orbit_code': 137539616782, 'n': 32, 'trace_an': -2048}
  • id: 6023847
    {'hecke_orbit_code': 137539616782, 'n': 33, 'trace_an': -4858}
  • id: 6023848
    {'hecke_orbit_code': 137539616782, 'n': 34, 'trace_an': 13552}
  • id: 6023849
    {'hecke_orbit_code': 137539616782, 'n': 35, 'trace_an': -13286}
  • id: 6023850
    {'hecke_orbit_code': 137539616782, 'n': 36, 'trace_an': 7808}
  • id: 6023851
    {'hecke_orbit_code': 137539616782, 'n': 37, 'trace_an': 9146}
  • id: 6023852
    {'hecke_orbit_code': 137539616782, 'n': 38, 'trace_an': -3304}
  • id: 6023853
    {'hecke_orbit_code': 137539616782, 'n': 39, 'trace_an': -21588}
  • id: 6023854
    {'hecke_orbit_code': 137539616782, 'n': 40, 'trace_an': -4480}
  • id: 6023855
    {'hecke_orbit_code': 137539616782, 'n': 41, 'trace_an': 12264}
  • id: 6023856
    {'hecke_orbit_code': 137539616782, 'n': 42, 'trace_an': -35392}
  • id: 6023857
    {'hecke_orbit_code': 137539616782, 'n': 43, 'trace_an': -32080}
  • id: 6023858
    {'hecke_orbit_code': 137539616782, 'n': 44, 'trace_an': -992}
  • id: 6023859
    {'hecke_orbit_code': 137539616782, 'n': 45, 'trace_an': 26852}
  • id: 6023860
    {'hecke_orbit_code': 137539616782, 'n': 46, 'trace_an': 10936}
  • id: 6023861
    {'hecke_orbit_code': 137539616782, 'n': 47, 'trace_an': 25326}
  • id: 6023862
    {'hecke_orbit_code': 137539616782, 'n': 48, 'trace_an': 7168}
  • id: 6023863
    {'hecke_orbit_code': 137539616782, 'n': 49, 'trace_an': 56644}
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  • id: 6023972
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  • id: 6024064
    {'hecke_orbit_code': 137539616782, 'n': 947, 'trace_an': -66920458}
  • id: 6024065
    {'hecke_orbit_code': 137539616782, 'n': 953, 'trace_an': -63033368}
  • id: 6024066
    {'hecke_orbit_code': 137539616782, 'n': 961, 'trace_an': 51771364}
  • id: 6024067
    {'hecke_orbit_code': 137539616782, 'n': 967, 'trace_an': 76972064}
  • id: 6024068
    {'hecke_orbit_code': 137539616782, 'n': 971, 'trace_an': 50973510}
  • id: 6024069
    {'hecke_orbit_code': 137539616782, 'n': 977, 'trace_an': 5801538}
  • id: 6024070
    {'hecke_orbit_code': 137539616782, 'n': 983, 'trace_an': 54508818}
  • id: 6024071
    {'hecke_orbit_code': 137539616782, 'n': 991, 'trace_an': -14838046}
  • id: 6024072
    {'hecke_orbit_code': 137539616782, 'n': 997, 'trace_an': -663502}