Embedded newform data - 669.6.a.d.1.19

Formats: - HTML - YAML - JSON - 2025-09-24T04:06:18.522978

• 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': 24084, 'analytic_conductor': 107.29677545488404, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, -1], [223, 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': [669, 1, [224, 226], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 51, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_orbit': 4, 'hecke_orbit_code': 13510798982775453, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '669.6.a.d', 'level': 669, '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': [3, 223], 'level_radical': 669, 'minimal_twist': '669.6.a.d', 'prim_orbit_index': 1, 'related_objects': [], 'relative_dim': 51, 'rm_discs': [], 'sato_tate_group': '5.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '669.6.a', 'trace_display': [18, 459, 97, 794], 'traces': [51, 18, 459, 940, 97, 162, 794, 411, 4131, 1256, 2349, 8460, 2954, 1816, 873, 18580, 1567, 1458, 12864, 3994, 7146, 5748, 6061, 3699, 52170, 14726, 37179, 40542, 4105, 11304, 27770, 3060, 21141, 37991, 26512, 76140, 38060, 12624, 26586, 45349, 54340, 16344, 66199, 52675, 7857, 63342, 63205, 167220, 205487, 48002, 14103, 105206, 11517, 13122, 121327, 153279, 115776, 145784, 219984, 35946, 163444, 415346, 64314, 558819, 191452, 51732, 247277, 310695, 54549, 366374, 238881, 33291, 380013, 355558, 469530, 513873, 91288, 132534, 369295, 319302, 334611, 93313, 310346, 364878, 336089, 72078, 36945, 480438, 325708, 101736, 555778, 39057, 249930, 297564, -67658, 27540, 418485, -75973, 190269, 947706, 192253, 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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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[-0.6929953030920394, 0.0], [-0.5806327108309743, 0.0], [0.19191529698307833, 0.0], [-1.0559724095883152, 0.0], [-1.026275261911772, 0.0], [0.14145120318772875, 0.0], [0.234746166406722, 0.0], [-0.9378406049748208, 0.0], [-0.03609232781730988, 0.0], [-0.6993697983189644, 0.0], [0.4057763911609479, 0.0], [-0.044434914434697916, 0.0], [0.5874800417651989, 0.0], [0.2676057133159009, 0.0], [0.47620896397120255, 0.0], [-0.08607359118883123, 0.0], [0.8143592259064336, 0.0], [0.11051238638240822, 0.0], [0.03724319822808213, 0.0], [0.20711425572125405, 0.0], [0.06127025339219158, 0.0], [0.012809060955599787, 0.0], [-0.0126197315514657, 0.0], [0.05825821569443833, 0.0], [1.580004060905418, 0.0], [-0.12247688081075905, 0.0], [-0.9596679680060752, 0.0], [0.4392340199410159, 0.0], [-0.15899718683686054, 0.0], [0.00547483906200603, 0.0], [-0.03280082543557199, 0.0], [-0.5729076775999552, 0.0], [0.6665140847955712, 0.0], [-0.9846306700569468, 0.0], [-1.8852039653794124, 0.0], [0.602718455988319, 0.0], [0.6905660306554512, 0.0], [-0.5898250560063244, 0.0], [0.1360528770384161, 0.0], [0.5189742738245124, 0.0]], 'angles': [-0.29470090504238333, None, -0.3572153154776065, -0.1560341094069979, -0.24811033616103284, -0.11723152059576769, -0.2383669229881174, -0.28432575696068946, -0.2817980138022954, -0.1134978230530728, -0.20532326898269407, -0.19249984695361008, -0.24143862674855662, -0.21790702140680945, -0.3841222963641896, -0.33442965806312946, -0.428267457314751, -0.2901393659106386, -0.21340525355185125, -0.1030476091919969, -0.2767259378663051, -0.14808600786673112, -0.38583242782760113, -0.10653406685233449, -0.33435612985107677, -0.15946180277549396, -0.21349556768807237, -0.20352595794177125, -0.235352134122493, -0.26189401706455306, -0.14935442161659235, -0.20740016048217413, -0.37695248941989706, -0.20750814538006412, -0.1249703777926911, -0.15166760684357103, -0.19870905059188865, -0.27761479199519945, -0.09311022429143924, -0.2685339090728913, -0.3132646103750193, 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-0.20724243432266187, -0.1669450095834376, -0.23555467398944213, -0.305340451090392, -0.32969517756585337, -0.1735559011170765, -0.2809876379498516, -0.4713901586460458, -0.26760979939804713, -0.22537116957842515, -0.26564092662818134, -0.24951808306651013, -0.12185117495950308, -0.4535625030339235, -0.3270476795537892, -0.22836143656052552, -0.2208211378929893, -0.29093980856654433, -0.22783873385026562, -0.18791120071952996, -0.2553845662288634, -0.15966752933146705, -0.1068360211250606, -0.11198971734014977, -0.3164388846447572, -0.3580683194211795, -0.2401714844694111, -0.2896650608402882, -0.24404125477185615, -0.23127633370307135, -0.2174836003199703, -0.1832561522149017, -0.2510042529924855, -0.2526103237797053, -0.19389146381380856], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 19, 'dual_embedding_m': 19, 'embedding_index': 19, 'embedding_m': 19, 'hecke_orbit': 4, 'hecke_orbit_code': 13510798982775453, 'label': '669.6.a.d.1.19', 'level': 669, '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

  
  {'ALdims': [48, 44, 51, 41], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [1, 1, 1, 1], 'ALdims_old': [43, 50, 44, 51], 'Nk2': 24084, 'analytic_conductor': 107.29677545488404, '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': [669, 1, [224, 226], [1, 1]], 'conrey_index': 1, 'cusp_dim': 372, 'dim': 184, 'eis_dim': 4, 'eis_new_dim': 0, 'hecke_orbit_code': 100663965, 'hecke_orbit_dims': [41, 44, 48, 51], 'label': '669.6.a', 'level': 669, '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': [3, 223], 'level_radical': 669, 'mf_dim': 376, 'mf_new_dim': 184, 'num_forms': 4, 'plus_dim': 89, 'prim_orbit_index': 1, 'relative_dim': 184, 'sturm_bound': 448, 'trace_bound': 1, 'trace_display': [12, 0, -12, 40], 'traces': [184, 12, 0, 2936, -12, 180, 40, 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• 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

  
  {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 51, 'source_embedding_index': 19, 'source_hecke_orbit_code': 13510798982775453, 'source_is_minimal': True, 'source_label': '669.6.a.d.1.19', 'source_level': 669, 'target_conrey_index': 1, 'target_dim': 51, 'target_embedding_index': 19, 'target_hecke_orbit_code': 13510798982775453, 'target_is_minimal': True, 'target_label': '669.6.a.d.1.19', 'target_level': 669, 'twist_class_label': '669.6.a.d.1.19', 'twist_class_level': 669, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 6}
• hecke_orbit_code 13510798982775453 does not appear in mf_hecke_charpolys
• 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': 4, 'label': '669.6.a.d', 'level': 669, 'portrait': 'data:image/png;base64,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', 'weight': 6}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 35235037
    {'hecke_orbit_code': 13510798982775453, 'n': 1, 'trace_an': 51}
  • id: 35235038
    {'hecke_orbit_code': 13510798982775453, 'n': 2, 'trace_an': 18}
  • id: 35235039
    {'hecke_orbit_code': 13510798982775453, 'n': 3, 'trace_an': 459}
  • id: 35235040
    {'hecke_orbit_code': 13510798982775453, 'n': 4, 'trace_an': 940}
  • id: 35235041
    {'hecke_orbit_code': 13510798982775453, 'n': 5, 'trace_an': 97}
  • id: 35235042
    {'hecke_orbit_code': 13510798982775453, 'n': 6, 'trace_an': 162}
  • id: 35235043
    {'hecke_orbit_code': 13510798982775453, 'n': 7, 'trace_an': 794}
  • id: 35235044
    {'hecke_orbit_code': 13510798982775453, 'n': 8, 'trace_an': 411}
  • id: 35235045
    {'hecke_orbit_code': 13510798982775453, 'n': 9, 'trace_an': 4131}
  • id: 35235046
    {'hecke_orbit_code': 13510798982775453, 'n': 10, 'trace_an': 1256}
  • id: 35235047
    {'hecke_orbit_code': 13510798982775453, 'n': 11, 'trace_an': 2349}
  • id: 35235048
    {'hecke_orbit_code': 13510798982775453, 'n': 12, 'trace_an': 8460}
  • id: 35235049
    {'hecke_orbit_code': 13510798982775453, 'n': 13, 'trace_an': 2954}
  • id: 35235050
    {'hecke_orbit_code': 13510798982775453, 'n': 14, 'trace_an': 1816}
  • id: 35235051
    {'hecke_orbit_code': 13510798982775453, 'n': 15, 'trace_an': 873}
  • id: 35235052
    {'hecke_orbit_code': 13510798982775453, 'n': 16, 'trace_an': 18580}
  • id: 35235053
    {'hecke_orbit_code': 13510798982775453, 'n': 17, 'trace_an': 1567}
  • id: 35235054
    {'hecke_orbit_code': 13510798982775453, 'n': 18, 'trace_an': 1458}
  • id: 35235055
    {'hecke_orbit_code': 13510798982775453, 'n': 19, 'trace_an': 12864}
  • id: 35235056
    {'hecke_orbit_code': 13510798982775453, 'n': 20, 'trace_an': 3994}
  • id: 35235057
    {'hecke_orbit_code': 13510798982775453, 'n': 21, 'trace_an': 7146}
  • id: 35235058
    {'hecke_orbit_code': 13510798982775453, 'n': 22, 'trace_an': 5748}
  • id: 35235059
    {'hecke_orbit_code': 13510798982775453, 'n': 23, 'trace_an': 6061}
  • id: 35235060
    {'hecke_orbit_code': 13510798982775453, 'n': 24, 'trace_an': 3699}
  • id: 35235061
    {'hecke_orbit_code': 13510798982775453, 'n': 25, 'trace_an': 52170}
  • id: 35235062
    {'hecke_orbit_code': 13510798982775453, 'n': 26, 'trace_an': 14726}
  • id: 35235063
    {'hecke_orbit_code': 13510798982775453, 'n': 27, 'trace_an': 37179}
  • id: 35235064
    {'hecke_orbit_code': 13510798982775453, 'n': 28, 'trace_an': 40542}
  • id: 35235065
    {'hecke_orbit_code': 13510798982775453, 'n': 29, 'trace_an': 4105}
  • id: 35235066
    {'hecke_orbit_code': 13510798982775453, 'n': 30, 'trace_an': 11304}
  • id: 35235067
    {'hecke_orbit_code': 13510798982775453, 'n': 31, 'trace_an': 27770}
  • id: 35235068
    {'hecke_orbit_code': 13510798982775453, 'n': 32, 'trace_an': 3060}
  • id: 35235069
    {'hecke_orbit_code': 13510798982775453, 'n': 33, 'trace_an': 21141}
  • id: 35235070
    {'hecke_orbit_code': 13510798982775453, 'n': 34, 'trace_an': 37991}
  • id: 35235071
    {'hecke_orbit_code': 13510798982775453, 'n': 35, 'trace_an': 26512}
  • id: 35235072
    {'hecke_orbit_code': 13510798982775453, 'n': 36, 'trace_an': 76140}
  • id: 35235073
    {'hecke_orbit_code': 13510798982775453, 'n': 37, 'trace_an': 38060}
  • id: 35235074
    {'hecke_orbit_code': 13510798982775453, 'n': 38, 'trace_an': 12624}
  • id: 35235075
    {'hecke_orbit_code': 13510798982775453, 'n': 39, 'trace_an': 26586}
  • id: 35235076
    {'hecke_orbit_code': 13510798982775453, 'n': 40, 'trace_an': 45349}
  • id: 35235077
    {'hecke_orbit_code': 13510798982775453, 'n': 41, 'trace_an': 54340}
  • id: 35235078
    {'hecke_orbit_code': 13510798982775453, 'n': 42, 'trace_an': 16344}
  • id: 35235079
    {'hecke_orbit_code': 13510798982775453, 'n': 43, 'trace_an': 66199}
  • id: 35235080
    {'hecke_orbit_code': 13510798982775453, 'n': 44, 'trace_an': 52675}
  • id: 35235081
    {'hecke_orbit_code': 13510798982775453, 'n': 45, 'trace_an': 7857}
  • id: 35235082
    {'hecke_orbit_code': 13510798982775453, 'n': 46, 'trace_an': 63342}
  • id: 35235083
    {'hecke_orbit_code': 13510798982775453, 'n': 47, 'trace_an': 63205}
  • id: 35235084
    {'hecke_orbit_code': 13510798982775453, 'n': 48, 'trace_an': 167220}
  • id: 35235085
    {'hecke_orbit_code': 13510798982775453, 'n': 49, 'trace_an': 205487}
  • id: 35235086
    {'hecke_orbit_code': 13510798982775453, 'n': 50, 'trace_an': 48002}
  • id: 35235087
    {'hecke_orbit_code': 13510798982775453, 'n': 51, 'trace_an': 14103}
  • id: 35235088
    {'hecke_orbit_code': 13510798982775453, 'n': 52, 'trace_an': 105206}
  • id: 35235089
    {'hecke_orbit_code': 13510798982775453, 'n': 53, 'trace_an': 11517}
  • id: 35235090
    {'hecke_orbit_code': 13510798982775453, 'n': 54, 'trace_an': 13122}
  • id: 35235091
    {'hecke_orbit_code': 13510798982775453, 'n': 55, 'trace_an': 121327}
  • id: 35235092
    {'hecke_orbit_code': 13510798982775453, 'n': 56, 'trace_an': 153279}
  • id: 35235093
    {'hecke_orbit_code': 13510798982775453, 'n': 57, 'trace_an': 115776}
  • id: 35235094
    {'hecke_orbit_code': 13510798982775453, 'n': 58, 'trace_an': 145784}
  • id: 35235095
    {'hecke_orbit_code': 13510798982775453, 'n': 59, 'trace_an': 219984}
  • id: 35235096
    {'hecke_orbit_code': 13510798982775453, 'n': 60, 'trace_an': 35946}
  • id: 35235097
    {'hecke_orbit_code': 13510798982775453, 'n': 61, 'trace_an': 163444}
  • id: 35235098
    {'hecke_orbit_code': 13510798982775453, 'n': 62, 'trace_an': 415346}
  • id: 35235099
    {'hecke_orbit_code': 13510798982775453, 'n': 63, 'trace_an': 64314}
  • id: 35235100
    {'hecke_orbit_code': 13510798982775453, 'n': 64, 'trace_an': 558819}
  • id: 35235101
    {'hecke_orbit_code': 13510798982775453, 'n': 65, 'trace_an': 191452}
  • id: 35235102
    {'hecke_orbit_code': 13510798982775453, 'n': 66, 'trace_an': 51732}
  • id: 35235103
    {'hecke_orbit_code': 13510798982775453, 'n': 67, 'trace_an': 247277}
  • id: 35235104
    {'hecke_orbit_code': 13510798982775453, 'n': 68, 'trace_an': 310695}
  • id: 35235105
    {'hecke_orbit_code': 13510798982775453, 'n': 69, 'trace_an': 54549}
  • id: 35235106
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