Embedded newform data - 144.16.a.o.1.1

Formats: - HTML - YAML - JSON - 2026-10-09T23:44:09.102072

• 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': 36864, 'analytic_conductor': 205.4786473438854, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, -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': [144, 1, [127, 37, 65], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [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': [[5, [-314490, 1]]], 'hecke_orbit': 15, 'hecke_orbit_code': 63050395051622544, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], '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': '144.16.a.o', 'level': 144, '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': [2, 3], 'level_radical': 6, 'minimal_twist': '6.16.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+314490q^{5}-2025056q^{7}+110255052q^{11}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '15.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '144.16.a', 'trace_display': [0, 0, 314490, -2025056], 'trace_hash': 1720414127680185527, 'trace_moments': [0, {'__RealLiteral__': 0, 'data': '0.985', 'prec': 10}, 0, {'__RealLiteral__': 0, 'data': '1.966', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '4.855', 'prec': 14}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.002', 'prec': 4}, 'traces': [1, 0, 0, 0, 314490, 0, -2025056, 0, 0, 0, 110255052, 0, 56047862, 0, 0, 0, 1930104414, 0, -2163188180, 0, 0, 0, 6228974472, 0, 68386381975, 0, 0, 0, -64743719070, 0, 20237611048, 0, 0, 0, -636859861440, 0, 488967594446, 0, 0, 0, 772359114198, 0, -1306766329292, 0, 0, 0, 3351821491776, 0, -646709706807, 0, 0, 0, -9387813393702, 0, 34674111303480, 0, 0, 0, 28930359275340, 0, 42393077399702, 0, 0, 0, 17626492120380, 0, 52247243064364, 0, 0, 0, -27194529024648, 0, -91604195687878, 0, 0, 0, -223272654582912, 0, -62882111078120, 0, 0, 0, -223567315949868, 0, 606998537158860, 0, 0, 0, -554198786115210, 0, -113500059230272, 0, 0, 0, -680301050728200, 0, -1388870476877374, 0, 0, 0, 419546297127498, 0, 982508323000048, 0, 0, 0, -246544159223844, 0, 845122838491190, 0, 0, 0, -3001700846115762, 0, 1958950181699280, 0, 0, 0, -3908569524197184, 0, 7978928322107053, 0, 0, 0, 11909360122786500, 0, -1754460654223016, 0, 0, 0, 10714934829687252, 0, 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-40237166333150687193046488, 0, 13613981840514723583155240, 0, 0, 0, -79229392385351743770916716, 0, 22936849158717298289000248, 0, 0, 0, -16860263046387015311811900, 0, -60968255027335423527481234, 0, 0, 0, -29419609674989432839176192, 0, 12390270782994421701273268, 0, 0, 0, -41562166970188780130444304, 0, -31798351496997793826736190, 0, 0, 0, 14995926684815235357994458, 0, -22424084354866835398788360, 0, 0, 0, -82322744482314062508305700, 0, -44791483206662351902325588, 0, 0, 0, 160094588783594595888517980, 0, 55606295080083378243060844, 0, 0, 0, 43589983005519738673151352, 0, 10201261000872898013695562, 0, 0, 0, -13367551018292733564700320, 0, -80771989101994094658655880, 0, 0, 0, -17691969196700365165832640, 0, 57794893248854752012300250, 0, 0, 0, 5199943723424084531350230, 0, -76308165043895668645967852, 0, 0, 0, 175742546113945707534188760, 0, -24346379788261445430286848, 0, 0, 0, 70457888937047120305961898, 0, 25783922402556350089779176, 0, 0, 0, 40353634372479778140240072, 0, 81682925385931989966881750, 0, 0, 0, 88594238251159086286852398, 0, 44045220111372399726774000, 0, 0, 0, -11215659476673362896840080, 0, -100906281827447939384782896, 0, 0, 0, 40047092548266192215692800, 0, -49956737153413113346322936, 0, 0, 0, 7086598987218964325473032, 0, 96969399983885757129603840, 0, 0, 0, 1618205523407975661937734, 0, -88304234087015944331515456, 0, 0, 0, 49700540832322626388151016, 0, -44084102850452982047252940, 0, 0, 0, -12854066316261580011531510, 0, 56236563186629277953009248, 0, 0, 0, -23033706406443334384170960, 0, 6145213567431093101564726, 0, 0, 0, 105590273391382550929416798, 0, -41329598384233050759558452, 0, 0, 0, -26629047845221289715348288, 0, 14993888425942042728776647, 0, 0, 0, 89920639979565633095322180, 0, -99882364227711478257624120, 0, 0, 0, 62432472229442505576109380, 0, -2296970052627207003245056, 0, 0, 0, -205275460637153195200189950, 0, 238145042352348902737629288, 0, 0, 0, 8879520769797469417347000, 0, 22567119907568612822236082, 0, 0, 0, -49851646634569109341975446, 0, 76760886402676695998230704, 0, 0, 0, -8535290142007988076555108, 0, -39453611716258171555097700, 0, 0, 0, -109173092816979158097706752, 0, -116722814730087580650907652, 0, 0, 0, 14062593638294651109344520, 0, -77855491813423074250427494, 0, 0, 0, 66968117457341026311600498, 0, 25645960096125885272989760, 0, 0, 0, 142094027930844588657850752, 0, -9322717835247554985016640, 0, 0, 0, -92730959767661189578513182, 0, 74183100182691894006228000, 0, 0, 0, -75724905165304290903463680, 0, -68274938034845849974550288, 0, 0, 0, -75279906078057239579163660, 0, 9561587595112040934935104, 0, 0, 0, -18709544164776304385239380, 0, 59001822080455681394819424, 0, 0, 0, -38347689557331264690289026, 0, -15327366626659755246193264, 0, 0, 0, 114287344188688238228314152, 0, 142381049858345636466289920, 0, 0, 0, 67414658930214617330033010, 0, -21003942348508930188752304, 0, 0, 0, -325514086509523457642682960, 0, -37337139662253481938563314, 0, 0, 0, -10928490627283585658847552, 0, -30747314587554503984121520, 0, 0, 0, 11122377408716099271728016, 0, -27162987598081478483986860, 0, 0, 0, 83228181585670358719278720, 0, 92337087813184490370134040, 0, 0, 0, -70967972715607687197117540, 0, -59952286238465614867191108, 0, 0, 0, -13767668060183028765153600, 0, -150216883231775885330504512, 0, 0, 0, 22780305320863647069096792, 0, -74173264510818495701161798, 0, 0, 0, -178522912589701980398322606, 0, 55795813811421800744721240, 0, 0, 0, -57683238388913484954739788, 0, -160753080726951896648066580, 0, 0, 0, 61356181001573883872961270, 0, -192134131842021046497365852, 0, 0, 0, -267292928457592630243358400, 0, 7307460640779953610566740, 0, 0, 0, -322843033504584059086243104, 0, 88797312660088500925854920, 0, 0, 0, -63611242848251927308515360, 0, -27416014655807738369171514, 0, 0, 0, -70751335438309703366291844, 0, -67316271833862497850822000, 0, 0, 0, -218439286975154111256951000, 0], 'weight': 16, 'weight_parity': 1}
• 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], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.8002458067044067, 0.0], [0.0, 0.0], [-0.9293980081843616, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.705899177207982, 0.0], [0.0, 0.0], [0.24773302649849527, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.1408115082413282, 0.0], [0.0, 0.0], [-0.5551908424468321, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.38146770882188974, 0.0], [0.0, 0.0], [2.2408849645568, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.6969677110827156, 0.0], [0.0, 0.0], [0.1321133000997964, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.6731448669933247, 0.0], [0.0, 0.0], [0.8467732839564333, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.6193560017427732, 0.0], [0.0, 0.0], [-0.7331359547612807, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.9650436264210589, 0.0], [0.0, 0.0], [-0.13621934238294145, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.0977297296958406, 0.0], [0.0, 0.0], [3.071037840429167, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.513434882833513, 0.0], [0.0, 0.0], [1.7271147033728667, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.44598034213610777, 0.0], [0.0, 0.0], [1.053179406971963, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.35484927837811164, 0.0], [0.0, 0.0], [-0.9704963691455964, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.5854592974604396, 0.0], [0.0, 0.0], [-0.3684036537023262, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.904321008333124, 0.0], [0.0, 0.0], [2.053741133951581, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.328129797058423, 0.0], [0.0, 0.0], [-0.23024258138918516, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.9994799860355965, 0.0], [0.0, 0.0], [-1.7453146705691993, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0]], 'angles': [None, None, -0.07173825822509085, -0.3269187329225862, -0.0874057026686845, -0.23023526924709603, -0.15339298591624984, -0.29476873393894726, -0.21945662724393022, -0.3066516915445545, -0.23947909684621788, -0.1804205951012388, -0.19988937109473073, -0.30973364058684094, -0.16986045681789783, -0.34246992433211465, -0.11340093574805453, -0.08411561195519873, -0.16173521364539, -0.2783883003203207, -0.3306353724015173, -0.2794850020279513, -0.324673289925095, -0.3655850747008645, -0.4188025637323222, -0.21881525352915993, -0.18561915331340612, -0.26182240933425593, -0.2144675579313942, -0.35244327724489105, -0.2733325739082797, -0.12502205146312356, -0.219209810880912, -0.29215180039309363, -0.26644224645707437, -0.23438260996110594, -0.37266826544904175, -0.24251140373358357, -0.1801771717639695, -0.29097101173445816, -0.19520824021118688, -0.18007848689698447, -0.3097567239480736, -0.13089730790759085, -0.1518453408602658, -0.2652417400639879, -0.08816916936031603, -0.304179226381152, -0.17850023204818127, -0.22918047728272986, -0.211440040823953, -0.07917157892904356, -0.2074961586100335, -0.32610928511184906, -0.06814256702246206, -0.2196453590802001, -0.22581624762809557, -0.40540305928494014, -0.2355672128242115, -0.14834764363889763, -0.2125667250314856, -0.4361141069248452, -0.18471051957164936, -0.21466689214903667, -0.15966121402432895, -0.13889968147527065, -0.3287363305194741, -0.2855279816671148, -0.41269244819106754, -0.1743232410952639, -0.27255061713199247, -0.35319141459234665, -0.10266577193243032, -0.18917191294478153, -0.2749827665534017, -0.20033260804642747, -0.22372871732395633, -0.12569300887598797, -0.21845186096136857, -0.27614583042418145, -0.32300571082746815, -0.1098421884853339, -0.36467647525658287, -0.26490193853531746, -0.18603612878971026, -0.19494537714331747, -0.3118997422710966, -0.21763229613810095, -0.25634085920405614, -0.2856639543222096, -0.29211694067410704, -0.4179771673447013, -0.414400751126076, -0.32905360925319466, -0.10541760408535203, -0.2719755583523151, -0.08647464185451942, -0.3606152557674725, -0.22969551757157747, -0.10060153093311844], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': 0.0, 'hecke_orbit': 15, 'hecke_orbit_code': 63050395051622544, 'label': '144.16.a.o.1.1', 'level': 144, 'weight': 16}
• 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': [8, 11, 7, 11], 'ALdims_eis_new': [0, 0, 0, 1], 'ALdims_eis_old': [6, 6, 6, 5], 'ALdims_old': [80, 75, 79, 77], 'Nk2': 36864, 'analytic_conductor': 205.4786473438854, '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': [144, 1, [127, 37, 65], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 348, 'dim': 37, 'eis_dim': 24, 'eis_new_dim': 1, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 268435600, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 4, 4], 'label': '144.16.a', 'level': 144, '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': [2, 3], 'level_radical': 6, 'mf_dim': 372, 'mf_new_dim': 38, 'num_forms': 24, 'plus_dim': 19, 'prim_orbit_index': 1, 'relative_dim': 37, 'sturm_bound': 384, 'trace_bound': 7, 'trace_display': [0, 0, -68380, -3234660], 'traces': [37, 0, 0, 0, -68380, 0, -3234660, 0, 0, 0, -11568464, 0, 64314922, 0, 0, 0, 761979172, 0, 4597217128, 0, 0, 0, 39929327440, 0, 181456009367, 0, 0, 0, -161806497948, 0, 137383183708, 0, 0, 0, -524802328464, 0, 126972888822, 0, 0, 0, 528864393492, 0, -656301196600, 0, 0, 0, 11450173286832, 0, 24877639930301, 0, 0, 0, 867296410388, 0, -4318927093888, 0, 0, 0, 853241730208, 0, -1660693077602, 0, 0, 0, 39200727103352, 0, -42770128991120, 0, 0, 0, -200285818426864, 0, 83347432823638, 0, 0, 0, 176555781377760, 0, 75388048469756, 0, 0, 0, -207498596339536, 0, 125011818400472, 0, 0, 0, -125015286617724, 0, -988521799844040, 0, 0, 0, 541156699173440, 0, -263368713265570, 0, 0, 0, -708760549433484, 0, -615703926694828, 0, 0, 0, -281010515744832, 0, -576392201119094, 0, 0, 0, -1007549164735212, 0, 1887747833729120, 0, 0, 0, -1017428705320560, 0, 12281965266270737, 0, 0, 0, -3182796453162840, 0, 397629237880436, 0, 0, 0, 7066883171721248, 0, 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0, 0, 0, -2265578003176205376, 0, 3336458348263241088864, 0, 0, 0, 7271633570280637535776, 0, 2463929880773628015898, 0, 0, 0, 1760424625977644634500, 0, -256749918637819649304, 0, 0, 0, -4786542013102017284144, 0, 2082486535221208577208, 0, 0, 0, 933208151143794575000, 0, 5998627205168349574216, 0, 0, 0, 9930746632587228646560, 0, 444918814170105042360, 0, 0, 0, 3805147659757282905348, 0, -4519313629983993198672, 0, 0, 0, -12163874273995304314512, 0, 797347416506586261314, 0, 0, 0, 150543760208711689408, 0, 12739525596169810810496, 0, 0, 0, 10772131883828763984688, 0, 172988718908321394960, 0, 0, 0, -1712157045275751473988, 0, -14398394951495421463764, 0, 0, 0, -18093279281211164322208, 0, -3753988536838502657350, 0, 0, 0, -1800798657662564551520, 0, 1089908001468531405904, 0, 0, 0, 17526831565481160548128, 0, -6277321526771752863688, 0, 0, 0, -8148430970253848275488, 0, -18645198358946345924628, 0, 0, 0, -27042563333412644462608, 0, -2302633100856788261230, 0, 0, 0, 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51963508105986978816268, 0, 0, 0, 31649214950076391626420, 0, 173369090682985318281600, 0, 0, 0, 264129709669329461062608, 0, 35108957991841638958965, 0, 0, 0, 21487734797203138961992, 0, -120925840555654574394476, 0, 0, 0, -262330251225879645997296, 0, 52228740431253870316512, 0, 0, 0, -13528893016030849732668, 0, 153432849959706241383072, 0, 0, 0, 285501694145893431823488, 0, 55485146159226924489816, 0, 0, 0, -57878681413765819046656, 0, -175004247186479760015796, 0, 0, 0, -398455500350220469127600, 0, 78815749443323008468822, 0, 0, 0], 'weight': 16, '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: 47845152
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 63050395051622544, 'source_is_minimal': False, 'source_label': '144.16.a.o.1.1', 'source_level': 144, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 63050395051622544, 'target_is_minimal': False, 'target_label': '144.16.a.o.1.1', 'target_level': 144, 'twist_class_label': '6.16.a.a.1.1', 'twist_class_level': 6, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 16}
  • id: 47845153
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 63050395051622544, 'source_is_minimal': False, 'source_label': '144.16.a.o.1.1', 'source_level': 144, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199523176496, 'target_is_minimal': False, 'target_label': '48.16.a.c.1.1', 'target_level': 48, 'twist_class_label': '6.16.a.a.1.1', 'twist_class_level': 6, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 16}
  • id: 47845154
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 63050395051622544, 'source_is_minimal': False, 'source_label': '144.16.a.o.1.1', 'source_level': 144, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22517998405287954, 'target_is_minimal': False, 'target_label': '18.16.a.f.1.1', 'target_level': 18, 'twist_class_label': '6.16.a.a.1.1', 'twist_class_level': 6, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 16}
  • id: 47845155
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 63050395051622544, 'source_is_minimal': False, 'source_label': '144.16.a.o.1.1', 'source_level': 144, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 268435462, 'target_is_minimal': True, 'target_label': '6.16.a.a.1.1', 'target_level': 6, 'twist_class_label': '6.16.a.a.1.1', 'twist_class_level': 6, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 16}
  • id: 47845156
    {'conductor': 60, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 63050395051622544, 'source_is_minimal': False, 'source_label': '144.16.a.o.1.1', 'source_level': 144, 'target_conrey_index': 49, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 36028934726353046, 'target_is_minimal': False, 'target_label': '150.16.c.i.49.2', 'target_level': 150, 'twist_class_label': '6.16.a.a.1.1', 'twist_class_level': 6, 'twisting_char_label': '60.23', 'twisting_conrey_index': 23, 'weight': 16}
  • id: 47845157
    {'conductor': 60, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 63050395051622544, 'source_is_minimal': False, 'source_label': '144.16.a.o.1.1', 'source_level': 144, 'target_conrey_index': 49, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 36028934726353046, 'target_is_minimal': False, 'target_label': '150.16.c.i.49.1', 'target_level': 150, 'twist_class_label': '6.16.a.a.1.1', 'twist_class_level': 6, 'twisting_char_label': '60.47', 'twisting_conrey_index': 47, 'weight': 16}
  • id: 47845158
    {'conductor': 60, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 63050395051622544, 'source_is_minimal': False, 'source_label': '144.16.a.o.1.1', 'source_level': 144, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 31525197660029078, 'target_is_minimal': False, 'target_label': '150.16.a.h.1.1', 'target_level': 150, 'twist_class_label': '6.16.a.a.1.1', 'twist_class_level': 6, 'twisting_char_label': '60.59', 'twisting_conrey_index': 59, 'weight': 16}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 259750
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 63050395051622544, 'p': 2}
  • id: 259751
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 63050395051622544, 'p': 3}
  • id: 259752
    {'charpoly_factorization': [[[-314490, 1], 1]], 'hecke_orbit_code': 63050395051622544, 'p': 5}
  • id: 259753
    {'charpoly_factorization': [[[2025056, 1], 1]], 'hecke_orbit_code': 63050395051622544, 'p': 7}
  • id: 259754
    {'charpoly_factorization': [[[-110255052, 1], 1]], 'hecke_orbit_code': 63050395051622544, 'p': 11}
  • id: 259755
    {'charpoly_factorization': [[[-56047862, 1], 1]], 'hecke_orbit_code': 63050395051622544, 'p': 13}
  • id: 259756
    {'charpoly_factorization': [[[-1930104414, 1], 1]], 'hecke_orbit_code': 63050395051622544, 'p': 17}
  • id: 259757
    {'charpoly_factorization': [[[2163188180, 1], 1]], 'hecke_orbit_code': 63050395051622544, 'p': 19}
  • id: 259758
    {'charpoly_factorization': [[[-6228974472, 1], 1]], 'hecke_orbit_code': 63050395051622544, 'p': 23}
  • id: 259759
    {'charpoly_factorization': [[[64743719070, 1], 1]], 'hecke_orbit_code': 63050395051622544, 'p': 29}
  • id: 259760
    {'charpoly_factorization': [[[-20237611048, 1], 1]], 'hecke_orbit_code': 63050395051622544, 'p': 31}
  • id: 259761
    {'charpoly_factorization': [[[-488967594446, 1], 1]], 'hecke_orbit_code': 63050395051622544, 'p': 37}
  • id: 259762
    {'charpoly_factorization': [[[-772359114198, 1], 1]], 'hecke_orbit_code': 63050395051622544, 'p': 41}
  • id: 259763
    {'charpoly_factorization': [[[1306766329292, 1], 1]], 'hecke_orbit_code': 63050395051622544, 'p': 43}
  • id: 259764
    {'charpoly_factorization': [[[-3351821491776, 1], 1]], 'hecke_orbit_code': 63050395051622544, 'p': 47}
  • id: 259765
    {'charpoly_factorization': [[[9387813393702, 1], 1]], 'hecke_orbit_code': 63050395051622544, 'p': 53}
  • id: 259766
    {'charpoly_factorization': [[[-28930359275340, 1], 1]], 'hecke_orbit_code': 63050395051622544, 'p': 59}
  • id: 259767
    {'charpoly_factorization': [[[-42393077399702, 1], 1]], 'hecke_orbit_code': 63050395051622544, 'p': 61}
  • id: 259768
    {'charpoly_factorization': [[[-52247243064364, 1], 1]], 'hecke_orbit_code': 63050395051622544, 'p': 67}
  • id: 259769
    {'charpoly_factorization': [[[27194529024648, 1], 1]], 'hecke_orbit_code': 63050395051622544, 'p': 71}
  • id: 259770
    {'charpoly_factorization': [[[91604195687878, 1], 1]], 'hecke_orbit_code': 63050395051622544, 'p': 73}
  • id: 259771
    {'charpoly_factorization': [[[62882111078120, 1], 1]], 'hecke_orbit_code': 63050395051622544, 'p': 79}
  • id: 259772
    {'charpoly_factorization': [[[223567315949868, 1], 1]], 'hecke_orbit_code': 63050395051622544, 'p': 83}
  • id: 259773
    {'charpoly_factorization': [[[554198786115210, 1], 1]], 'hecke_orbit_code': 63050395051622544, 'p': 89}
  • id: 259774
    {'charpoly_factorization': [[[1388870476877374, 1], 1]], 'hecke_orbit_code': 63050395051622544, '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': 15, 'label': '144.16.a.o', 'level': 144, 'portrait': 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', 'weight': 16}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  Showing the first 100 of 258 matching records in this table.
  • id: 60235495
    {'hecke_orbit_code': 63050395051622544, 'n': 1, 'trace_an': 1}
  • id: 60235496
    {'hecke_orbit_code': 63050395051622544, 'n': 2, 'trace_an': 0}
  • id: 60235497
    {'hecke_orbit_code': 63050395051622544, 'n': 3, 'trace_an': 0}
  • id: 60235498
    {'hecke_orbit_code': 63050395051622544, 'n': 4, 'trace_an': 0}
  • id: 60235499
    {'hecke_orbit_code': 63050395051622544, 'n': 5, 'trace_an': 314490}
  • id: 60235500
    {'hecke_orbit_code': 63050395051622544, 'n': 6, 'trace_an': 0}
  • id: 60235501
    {'hecke_orbit_code': 63050395051622544, 'n': 7, 'trace_an': -2025056}
  • id: 60235502
    {'hecke_orbit_code': 63050395051622544, 'n': 8, 'trace_an': 0}
  • id: 60235503
    {'hecke_orbit_code': 63050395051622544, 'n': 9, 'trace_an': 0}
  • id: 60235504
    {'hecke_orbit_code': 63050395051622544, 'n': 10, 'trace_an': 0}
  • id: 60235505
    {'hecke_orbit_code': 63050395051622544, 'n': 11, 'trace_an': 110255052}
  • id: 60235506
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