Embedded newform data - 62.6.g.b.45.2

Formats: - HTML - YAML - JSON - 2025-09-09T11:26:29.887806

• 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': 2232, 'analytic_conductor': 9.9437968284048, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 31, 'char_degree': 8, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 7, 'char_orbit_label': 'g', 'char_order': 15, 'char_parity': 1, 'char_values': [62, 15, [3], [14]], 'cm_discs': [], 'conrey_index': 7, 'dim': 56, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [337020342202336047530627298083235232321515624911258427024921, 492229146088852281513082087528816938000051794741127170264820, 730316835604095446456768040713014448251034764731393177213612, -1155307963881948398561066853121402937061581522327075213467800, 1319929057661915095523671524974996979959592319520613601484472, -1630615780594302161519237212643758281837076248360638910334152, 1148883968920473830094603757768056680419396096149831934876242, -415507075168593495100879211901501708865300352255372279441277, 71145415866515107125347538081831943149388241092604255114922, -2560722439815672209596162188240332432256445119630803474760, -1087356408119855743381969398175972893331212076019170951740, 302289933333762466706695990249801458794083880391056514153, -49922794436571966469938751551766407993608637766824813213, 290886503211424323428120999753092764495878596377867903, 1334589977218938915256033790070471818886435658734293466, -127610175156109963581302902879908364534067033681270898, -9589696020338643198302785908090484657674773122320654, 1523905952231930646430368260878796716268930915402190, 41661036948777169832579388699752262100695147007467, -11347776058915597869710596732551629847511027489569, -13315826894940496726998905946313401331270321566, 54152589822670371284346221527164425306766649431, 757290579758415924177250241368551056349767313, -75947084021508549662221617558938395477863375, 6138961888615732064143371329053263350968153, -201134530066724629979263408693505382561777, -18667161738888025635017952703314388020988, 3380862270089498341419025174107881187461, 102245575212392762032548607069898817130, -7464629975122589854123555667595143106, 261126762559381982187000626652866255, 14939454506627975899722334912283538, 804785675447790278415830556790886, 136765216771938803353806525680396, 2679504004155147844709949802642, -244700210268084365814134220783, -14714887343462514911724132177, -408059706083389853303885909, -7333673455520233668578128, 1182786163445523653684465, 93813389254539106973419, -388142089803000521620, -67779534497268946969, -1025315977733754182, -133788474418994119, 3597790677989084, 296348562286172, -4479257705208, -314694709231, -722414405, 263095595, 12398983, 537127, -20505, -1274, 7, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4504012044894270, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 31, 7, 1, 15, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '62.6.g.b', 'level': 62, '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, 31], 'level_radical': 62, 'minimal_twist': '62.6.g.b', 'prim_orbit_index': 7, 'related_objects': [], 'relative_dim': 7, 'rm_discs': [], 'sato_tate_group': '5.2.3.c15', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '62.6.g', 'trace_display': [56, -7, 91, -94], 'traces': [56, 56, -7, -224, 91, -152, -94, 896, 896, -944, -31, -112, -1244, 856, 518, -3584, 1064, -1724, 619, -1024, 9541, 124, -1717, 768, -24033, -1344, 22754, 1776, 11733, 13928, 57065, -57344, -11248, -10456, -7296, -42464, -1504, -29736, -19566, 4096, 35891, 40636, 66400, 23344, -27014, -7612, 36521, -3072, 121465, -13108, -236890, -19904, -143661, -91016, 106359, 5056, 13060, 59468, 230112, 8288, -49860, 26740, 66726, -57344, 201094, -30508, 74372, -4656, -599733, 29184, 23383, -27584, -66915, 186916, 553648, -152736, 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7826928, -81556867, 10747096, -20290511, 2785856, 5859598, 51763956, 85045240, 20297120, -21248269, -101663616, 53781785, 3670016, 34152678, 15122868, 108837416, 36881664, -10887691, -48594676, 73890169, 5214464, 27211869, 29376892, 97057032, 2795776, 2634638, -24817688, 28548827, 1853952, -18374161, 29825732, -3253905, 5487152, 11652080, -44784892, -77625387, 4887232, 41570685, 24796724, 45722591, -27228560, -14951866, 15173088, 13705571, -1089536, 73576341, -21968264, 57978481, 7312528, -184583489, -54943348, -20905751, -10587328, 109477859, 38665268, -9639703, -21487664, -194937532, -43937760, -79463212, -3890176, -47615212, -14873096, -43342255, -7280080, -58928109, -28177032, 86185592, 8373568, 82493898, 115792664, -68463468, -15667296, 136934853, -46761324, -23679799, 1765376, 69527498, 32480952, -45706557, -37305408, 24256897, -28124496, -15166781, -4232000, 223340366, 46756836, -54642309, -40520576, 41594874, 57201976, -30836338, 3424256, -33506455, -17062684, 43089421, 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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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-0.18821359996901754, -0.32765389119344407, -0.42067631155422314, 0.19533052054241834, -0.34261969729388103, 0.08397466636603787, -0.3770624148164462, -0.13355947486419606, -0.038048993211901305, -0.07309991488612472, -0.10885044151128245, -0.18596152353726378, -0.03785889085459409, -0.4924323907683213, -0.46427260518554053, -0.46447698857217684, -0.4071623585875708, 0.055667826996474074, 0.056376567686993666, -0.38012607658010633, -0.3825554214866458, 0.12153096969121255, -0.031131203725076072, -0.321101065274504, -0.32339032930439676, -0.2829403623759887, -0.2240119967739474, 0.0900164806919249, -0.14667190112055153, -0.11225730940875703, -0.455951904213884, -0.38741649199289924, -0.35487682084330546, -0.06490032779286965, -0.33795362662219597, -0.19778950495348285, 0.051483150925213536, -0.3672381918456827, -0.1875381900543707, -0.013471506330177619, 0.13021752561161593, -0.16658128058581506, -0.051150412550236814, -0.26564244814781224, 0.29174967035547206, -0.2773461297071926, -0.3268327702305689, 0.07565729125146908, -0.4138372002527603, -0.41752793512018443, -0.15930691773981856, 0.20173348324419332, -0.4904312520361474, -0.20652771500296987, -0.46274769487228895, -0.40824690795592194, -0.17312399922714303, -0.4102806316149727, -0.3187736503967075, -0.010340343518261734, -0.16674772955272035, -0.1924987377672444, -0.30223196849850764, -0.3623675886390202, -0.3928935380739821, -0.31672101518317, -0.18494289851969326, -0.18984762501198507, -0.4756287407904487, -0.19426558333519986, 0.003600936312602986, -0.3073507273137727, -0.14238389330633994, -0.350220045720721, -0.2824231451420451, -0.22078718639277925, -0.2980581077469531, -0.1026816462897273, 0.3312121377209086, -0.1365925013244264, 0.12504934471726428, -0.4759417285822339, 0.0009759416309404141, -0.4284573578071705, -0.4169924922250274, -0.12789824070131192, -0.031135900629684927, -0.23683411611285393, 0.013340577449812235, -0.01696689311676635, -0.15517591728478278, -0.4225499436077149, -0.3453340215013626, -0.330271661594265, -0.4142470688296458, -0.09387519967585407, -0.15987270510821197, 0.011240878674397155, -0.3140310052388232, -0.30320961749373715, -0.49100097685449984, -0.35806822973622127, -0.49021479093836856, 0.09752611846517416, -0.31268883589347934, -0.21859918634117234, -0.376357991063561, -0.28431205480684574, 0.08028638798495356, -0.2386097089567422, -0.47460822628490934, 0.1799095342665834, 0.00029276544324568826, -0.18072627145270073, -0.44254159402466253, -0.19143829737010926, -0.4045375332476634, -0.33589998833649237, -0.39283942642081243, -0.28861393181377254, -0.47464175121345087, -0.28291384284146265, -0.22293078842356004, -0.31808898328254914, -0.03025072643430166, -0.16045004197859364, -0.4779391112741496, 0.07572312627409625, -0.14438396118020352, -0.3060599056045818], 'char_orbit_index': 7, 'conrey_index': 45, 'dual_conrey_index': 51, 'dual_embedding_index': 2, 'dual_embedding_m': 44, 'embedding_index': 2, 'embedding_m': 30, 'hecke_orbit': 2, 'hecke_orbit_code': 4504012044894270, 'label': '62.6.g.b.45.2', 'level': 62, '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': 2232, 'analytic_conductor': 9.9437968284048, 'char_conductor': 31, 'char_degree': 8, 'char_is_real': False, 'char_orbit_index': 7, 'char_orbit_label': 'g', 'char_order': 15, 'char_parity': 1, 'char_values': [62, 15, [3], [14]], 'conrey_index': 7, 'cusp_dim': 304, 'dim': 112, 'eis_dim': 32, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 412417523774, 'hecke_orbit_dims': [56, 56], 'label': '62.6.g', 'level': 62, '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, 31], 'level_radical': 62, 'mf_dim': 336, 'mf_new_dim': 112, 'num_forms': 2, 'prim_orbit_index': 7, 'relative_dim': 14, 'sturm_bound': 48, 'trace_bound': 2, 'trace_display': [0, 4, 58, 10], 'traces': [112, 0, 4, -448, 58, -288, 10, 0, 1420, -496, -826, 64, -480, -528, -2690, -7168, 3504, 992, -2128, 928, 14450, 7624, -13014, 1152, -45418, -15408, 10288, 3200, -168, 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-191646112, 229208502, -265128136, 68660488, -24201216, 232804544, -815288512, -99479684, 92674144, -330279180, -91538104, -138633882, -23902720, 84898016, -92207312, -227644080, 116292256, -21446206, -157215688, 7607494, -50242048, 122623404, -356679360, 222829836, 35917888, 257859840, 248180352, 241540176, 200649088, 22790936, 209215368, 196428262, 20540672, 186888448, 6514816, 189759482, 6225920, 249089182, 654107744, 98398536, 194961088, 138083778, 282535184, 124205504, -2684928, -78145718, 306797808, -413022258, 298402432, -126362694, 63502768, -34516948, 4345344, -21293152, -267262784, -181683108, -294270048, -261460692, 1582096, -758533532, -88608768, 128623222, -125796200, 65286328, -241423936, 197339808, -653600864, 77907984, -63293440, -770501532, -126433184, -447900784, 31389216, -280280238, -221759976, -389473282, -67177216], '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: 35545538
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 45, 'source_dim': 56, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4504012044894270, 'source_is_minimal': True, 'source_label': '62.6.g.b.45.2', 'source_level': 62, 'target_conrey_index': 45, 'target_dim': 56, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4504012044894270, 'target_is_minimal': True, 'target_label': '62.6.g.b.45.2', 'target_level': 62, 'twist_class_label': '62.6.g.b.45.2', 'twist_class_level': 62, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 6}
  • id: 35545539
    {'conductor': 31, 'degree': 8, 'order': 15, 'parity': 1, 'source_conrey_index': 45, 'source_dim': 56, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4504012044894270, 'source_is_minimal': True, 'source_label': '62.6.g.b.45.2', 'source_level': 62, 'target_conrey_index': 51, 'target_dim': 56, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4504012044894270, 'target_is_minimal': True, 'target_label': '62.6.g.b.51.2', 'target_level': 62, 'twist_class_label': '62.6.g.b.45.2', 'twist_class_level': 62, 'twisting_char_label': '31.20', 'twisting_conrey_index': 20, 'weight': 6}
• hecke_orbit_code 4504012044894270 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': 7, 'hecke_orbit': 2, 'label': '62.6.g.b', 'level': 62, 'portrait': 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', 'weight': 6}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 22893349
    {'hecke_orbit_code': 4504012044894270, 'n': 1, 'trace_an': 56}
  • id: 22893350
    {'hecke_orbit_code': 4504012044894270, 'n': 2, 'trace_an': 56}
  • id: 22893351
    {'hecke_orbit_code': 4504012044894270, 'n': 3, 'trace_an': -7}
  • id: 22893352
    {'hecke_orbit_code': 4504012044894270, 'n': 4, 'trace_an': -224}
  • id: 22893353
    {'hecke_orbit_code': 4504012044894270, 'n': 5, 'trace_an': 91}
  • id: 22893354
    {'hecke_orbit_code': 4504012044894270, 'n': 6, 'trace_an': -152}
  • id: 22893355
    {'hecke_orbit_code': 4504012044894270, 'n': 7, 'trace_an': -94}
  • id: 22893356
    {'hecke_orbit_code': 4504012044894270, 'n': 8, 'trace_an': 896}
  • id: 22893357
    {'hecke_orbit_code': 4504012044894270, 'n': 9, 'trace_an': 896}
  • id: 22893358
    {'hecke_orbit_code': 4504012044894270, 'n': 10, 'trace_an': -944}
  • id: 22893359
    {'hecke_orbit_code': 4504012044894270, 'n': 11, 'trace_an': -31}
  • id: 22893360
    {'hecke_orbit_code': 4504012044894270, 'n': 12, 'trace_an': -112}
  • id: 22893361
    {'hecke_orbit_code': 4504012044894270, 'n': 13, 'trace_an': -1244}
  • id: 22893362
    {'hecke_orbit_code': 4504012044894270, 'n': 14, 'trace_an': 856}
  • id: 22893363
    {'hecke_orbit_code': 4504012044894270, 'n': 15, 'trace_an': 518}
  • id: 22893364
    {'hecke_orbit_code': 4504012044894270, 'n': 16, 'trace_an': -3584}
  • id: 22893365
    {'hecke_orbit_code': 4504012044894270, 'n': 17, 'trace_an': 1064}
  • id: 22893366
    {'hecke_orbit_code': 4504012044894270, 'n': 18, 'trace_an': -1724}
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  • id: 22893492
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  • id: 22893559
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  • id: 22893576
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  • id: 22893580
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  • id: 22893587
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  • id: 22893588
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  • id: 22893592
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  • id: 22893593
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  • id: 22893595
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  • id: 22893597
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  • id: 22893598
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  • id: 22893599
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  • id: 22893600
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  • id: 22893601
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  • id: 22893602
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  • id: 22893603
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  • id: 22893605
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  • id: 22893606
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