Embedded newform data - 4.33.b.b.3.2

Formats: - HTML - YAML - JSON - 2024-04-27T12:43:26.640031

• 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
  conrey_indexes	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_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	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': 4356, 'analytic_conductor': 25.94666205689942, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 4, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': -1, 'char_values': [4, 2, [3], [1]], 'cm_discs': [], 'conrey_index': 3, 'conrey_indexes': [3], 'dim': 14, 'field_disc': -174519546399527093546535563082281633320187654973339160372214939758443580835777829857238094862636562122675438550384519570380283957700802904213441610711110770980992673299428786763206275758807113864034375, 'field_disc_factorization': [[-1, 1], [3, 3], [5, 5], [7, 4], [11, 5], [13, 4], [47, 1], [4751, 2], [23909, 1], [110119, 2], [520361, 1], [1384087, 2], [54186089327487431, 2], [323569380597631881257, 2], [1409622221782053703777087196828551, 2]], 'field_poly': [624216522131873762678666934520680301449631616035103441585151846396220724278849706601312000, 0, 1269648449115368448095465842606476325720277486461580161887038301255933321354000, 0, 758734102549599282271818004575465783845093632382487984186969965640, 0, 203010662886800095440071970440402438747266446160157745, 0, 27922884728028663894750078705223437415644, 0, 2025191977179903324811336518, 0, 72511313626452, 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, [44979540743545818351912026059871433823471719587663708698301565261790613864868985217618317788921339052032000, 0, 357374267645468843413359773606209075070031327946183118408070932083089692503053987924148224000, 0, 834236968143472418627207913501594599828910663972001908530176294850059189616640, 0, 871924157838087360004787840927807191498152595656022292976107520, 0, 468468268425238148353623336454533937784741167104, 0, 132722981416462144294835750043648, 0, 18562896288371712, 0, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4503668900495364, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 333967596655827456520223930150776346485554018907388570329153536000000, 'hecke_ring_index_factorization': [[2, 182], [3, 20], [5, 6]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 4, 2, -1, 2, 0]], 'is_cm': False, 'is_polredabs': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '4.33.b.b', 'level': 4, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2], 'level_radical': 2, 'minimal_twist': '4.33.b.b', 'prim_orbit_index': 2, 'qexp_display': 'q+(-1699+\\beta _{1})q^{2}+(9-21\\beta _{1}+\\beta _{2}+\\cdots)q^{3}+\\cdots', 'related_objects': [], 'relative_dim': 14, 'rm_discs': [], 'sato_tate_group': '32.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '4.33.b', 'trace_display': [-23780, 0, 138121491740, 0], 'trace_hash': 306333080852356896, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.005', 'prec': 17}, {'__RealLiteral__': 0, 'data': '12.225', 'prec': 20}, {'__RealLiteral__': 0, 'data': '5.036', 'prec': 17}, {'__RealLiteral__': 0, 'data': '885.831', 'prec': 24}, {'__RealLiteral__': 0, 'data': '1358.785', 'prec': 27}, {'__RealLiteral__': 0, 'data': '100879.234', 'prec': 34}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.504', 'prec': 17}, 'traces': [14, -23780, 0, -2922848368, 138121491740, 1262734959552, 0, -191366550113600, -11183509932817650, 31775605694457400, 0, -356375853407619840, -1640418469677858020, 7731597686180285568, 0, -30570843123186593536, 31570967905797256220, -356724239595483290340, 0, 2022222335397731344160, -2117057333603414716416, 5453282318362187158080, 0, -25676387438412555666432, 10252879651857697291050, -100487287286439222842824, 0, 287406099989137745118720, -383350228001906510553316, -58105690536229485525120, 0, -3049085458330908760601600, 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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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-0.44115320602291863, 0.030283323035191646, -0.19084554778693827, -0.1555903669644725, -0.14649711281135802, -0.17980824444206273, 0.09165054845069572, -0.40016157813430364, -0.22199935944965182, 0.024875271133329633, -0.19998833067435745, -0.4654303272304613, -0.45302548525437647, -0.2818283746755361, -0.4902706450118813, -0.34694048669501204, -0.2580427495694004, 0.03944707717413356, -0.4980674663084125, -0.24116629487536373, -0.2509368916265627, -0.4926800917095067, -0.34265278280993605, -0.389932212660777, 0.02207213682020988, -0.43212878422971424, -0.15117975451475832, -0.2914554848636459, -0.1679860764332584, 0.03950201578000699, -0.2667539763199662, -0.4351497770367982, -0.3885243976736131, -0.30237739962200255, 0.01808049494119548, -0.3635796381995602, -0.32339442698116244], 'char_orbit_index': 2, 'conrey_index': 3, 'dual_conrey_index': 3, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': -2772996.632376172, 'embedding_root_real': 0.0, 'hecke_orbit': 2, 'hecke_orbit_code': 4503668900495364, 'label': '4.33.b.b.3.2', 'level': 4, 'weight': 33}
• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  ALdims	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_prime	boolean
  level_is_prime_power	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': 4356, 'analytic_conductor': 25.94666205689942, 'char_conductor': 4, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': -1, 'char_values': [4, 2, [3], [1]], 'conrey_index': 3, 'cusp_dim': 15, 'dim': 15, 'eis_dim': 2, 'eis_new_dim': 2, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 69273124868, 'hecke_orbit_dims': [1, 14], 'label': '4.33.b', 'level': 4, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2], 'level_radical': 2, 'mf_dim': 17, 'mf_new_dim': 17, 'num_forms': 2, 'prim_orbit_index': 2, 'relative_dim': 15, 'sturm_bound': 16, 'trace_bound': 1, 'trace_display': [41756, 0, -58374617954, 0], 'traces': [15, 41756, 0, 1372118928, -58374617954, 1262734959552, 0, 90108426597056, -9330489743965809, 18898036649551416, 0, -356375853407619840, -310330724778787938, 7731597686180285568, 0, -12124099049477041920, 32998092473679242782, 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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

  
  
  • id: 34650078
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 3, 'source_dim': 14, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4503668900495364, 'source_is_minimal': True, 'source_label': '4.33.b.b.3.2', 'source_level': 4, 'target_conrey_index': 3, 'target_dim': 14, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4503668900495364, 'target_is_minimal': True, 'target_label': '4.33.b.b.3.2', 'target_level': 4, 'twist_class_label': '4.33.b.b.3.1', 'twist_class_level': 4, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 33}
  • id: 34650079
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 3, 'source_dim': 14, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4503668900495364, 'source_is_minimal': True, 'source_label': '4.33.b.b.3.2', 'source_level': 4, 'target_conrey_index': 19, 'target_dim': 14, 'target_embedding_index': 13, 'target_hecke_orbit_code': 4503806339448868, 'target_is_minimal': False, 'target_label': '36.33.d.b.19.13', 'target_level': 36, 'twist_class_label': '4.33.b.b.3.1', 'twist_class_level': 4, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 33}
  • id: 34650080
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 3, 'source_dim': 14, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4503668900495364, 'source_is_minimal': True, 'source_label': '4.33.b.b.3.2', 'source_level': 4, 'target_conrey_index': 3, 'target_dim': 14, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503668900495364, 'target_is_minimal': True, 'target_label': '4.33.b.b.3.1', 'target_level': 4, 'twist_class_label': '4.33.b.b.3.1', 'twist_class_level': 4, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 33}
  • id: 34650081
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 3, 'source_dim': 14, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4503668900495364, 'source_is_minimal': True, 'source_label': '4.33.b.b.3.2', 'source_level': 4, 'target_conrey_index': 19, 'target_dim': 14, 'target_embedding_index': 14, 'target_hecke_orbit_code': 4503806339448868, 'target_is_minimal': False, 'target_label': '36.33.d.b.19.14', 'target_level': 36, 'twist_class_label': '4.33.b.b.3.1', 'twist_class_level': 4, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 33}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 15725
    {'charpoly_factorization': [[[26959946667150639794667015087019630673637144422540572481103610249216, 149269479267495268564015072483878307374914012469354740716666880, 2549104948996795016104205157524069684879928099495460470784, 34294588004857691313166281650806351359932474138296320, 844098682816395696735771642577610381808875077632, 17184104737864085953784741974618425450823680, 282855165407963980330895339152891445248, -2791780341764261466009689097502720, 65857350222758012900803084288, 931552184450534583828480, 10654023216358490112, 100782736158720, 1744168384, 23780, 1], 1]], 'hecke_orbit_code': 4503668900495364, 'p': 2}
  • id: 15726
    {'charpoly_factorization': [[[44979540743545818351912026059871433823471719587663708698301565261790613864868985217618317788921339052032000, 0, 357374267645468843413359773606209075070031327946183118408070932083089692503053987924148224000, 0, 834236968143472418627207913501594599828910663972001908530176294850059189616640, 0, 871924157838087360004787840927807191498152595656022292976107520, 0, 468468268425238148353623336454533937784741167104, 0, 132722981416462144294835750043648, 0, 18562896288371712, 0, 1], 1]], 'hecke_orbit_code': 4503668900495364, 'p': 3}
  • id: 15727
    {'charpoly_factorization': [[[-194695030971705992795169005603188289602422978392661942832712707519531250000000, -8790602739051590164802042439957880994980502000925276806640625000000, -37726750193783531578663453906693952860056222539062500000, 1691497483111433499262778436348931058418750000, 3582839712286042804283048693025000, -81669251881758433411500, -69060745870, 1], 2]], 'hecke_orbit_code': 4503668900495364, 'p': 5}
  • id: 15728
    {'charpoly_factorization': [[[124313337287170156121761748396391545634518402020794027295844734071950519084997894803290755520228473123052708793407923476907290093373986922576195568414997594048118536024358912000000000, 0, 123519140259172668302507629509584751817951562207560434570272073874127341837165506356501152165326902611392338808145415521878618672730665703783973022452416512000000, 0, 16011754177027427154376745975341800059498376689512739276598787251183288648504391142357340766102391022269460819952872513823901623517184000, 0, 58509843949464995489682153382292510059823409192085642873063657539468754781357324686065199730807527648002048000, 0, 71129506856794656962881723798785771764107904331358916799053308991666843214051016704, 0, 39223745684985106292839747715943683165834201316162797568, 0, 10146555609964619651927396352, 0, 1], 1]], 'hecke_orbit_code': 4503668900495364, 'p': 7}
  • id: 15729
    {'charpoly_factorization': [[[4767483162028238380235443070309541837291345331734529931488966299885694900656629517128117106578909488566266198999978865022634658769867010236202193556757839986461089173481689154780264890268601539670600754376469613034812211200000000000, 0, 55997910102652439867215385155530313155165384077498247315072555923028901033834869231716267758839446589600645983191656714872311180197854143746195622995831239270295448469782700031185007009721221120000000, 0, 224530604330662468578129460374231504582231521981622190450518020352974600435221781732555582587641963455327850748246336572015121712527834208007219530238856890679296000000, 0, 381521013466192826119077832164288755259519584214514416490415031194786220872579805966427573378762830524426619253651737861171915522048000, 0, 283933150444764325366622642145030235569606121511940126252023860965920048504350117170287253154430976000, 0, 99173546249840363077682116135032691712737753744013650120577221263360, 0, 16186283363947013083683685189555200, 0, 1], 1]], 'hecke_orbit_code': 4503668900495364, 'p': 11}
  • id: 15730
    {'charpoly_factorization': [[[1601345784070646965446107663689247066140533489960628289277148725848695040761000444016096279805681850994950339396377081520000, -24381369620019091735718652888696688347409707870583977783570967855310950307600683618826334749872706611764800, 66311543686587578207363356631798777782268274328790545925950558882749660365161273244423520, 182663595713708824848994983316977777903125844521003236089430765103149616, -486295026598681086240075895738620698967781229507566360, -678934952302510084742071757902720428, 820209234838929010, 1], 2]], 'hecke_orbit_code': 4503668900495364, 'p': 13}
  • id: 15731
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  • id: 15732
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  • id: 15746
    {'charpoly_factorization': [[[97196474498916902367171361983839972515225068427377756526101499857950429452979950059651145054764510144756999381656716784233931329362733191696638500378135236518090224696203591775482428087196039596694159019178681845198269665042583879195732039942833995223457045478117816250824154592588513113767944492976449186242520281703392355299405194530532130508220611385916704550731487316080324250746959554840988315888755562826956800000000000, 0, 152550042892413573336250522811689890952543696076274924412925408157665841660660740264215071146077618778843946272922940132947005852655339186000066955130327284964384294266445715202713436081194110112800008484135139551441831650165716642099500959120211365577299443466263211815200029518014638514110518005363269377895717018844351861956828767465090217978014198367518720000000, 0, 97289624026574146881291678596633517405579232563542226793944201082208285077433134367587487827324342781893379169154582834536111819467419799157695680462679665761187779751989461402668348908231560655612110209531509381268190120156346042247607417019889598828017938483799427861292905972967249005966241300480000000, 0, 32802876716411138625159320765799770008427565726471331554293064968989450530703922335424140678262142916735524249894946106484024058450912145984271393923397500010807702199060065958428057014054841528972633440022772184684853922002369782843921399808000, 0, 6330893346639551389334413048908184946986202226380629069352448889861700320548274232858962891349071206041100257982378226438759879824988901847640394647380206589301341428030840764366848000, 0, 700733763209304727947543102474414947927381639620085883406806401608042328955972860966283983775949366729230362013694332764160, 0, 41267762539956718706717215921847405380542373118605187574743040, 0, 1], 1]], 'hecke_orbit_code': 4503668900495364, 'p': 79}
  • id: 15747
    {'charpoly_factorization': [[[91076956737782735113749957379701286965356122527841264516759823726578878570287269794424434431546337252661066730635663407751825498085496680066317743819414663121138746629578480240796630461774855186840093287862776763932592708995811678201536281955409116581591705404995589810175243481275763435844874744369935583032350637367838618164232052000297531574984109647149760340683600071487726110735765766637708426867249820304000503775232000, 0, 1287827861885969749775360732269024533219775701079959333820394374969659231921844139232613151276799229647989351927488461854686672058844191893518336626981636948095762447493163242895296744871525284801910622028347448345365547885566699640604777979207680095734373053227857109580848512931018552778841179954125932609897484072512147056652363136253392350926904261668610506752000, 0, 4750355218826741368875293006610889595090469351636587227785351500585866782157193556714502309047136628507671293597061532122991053966599847325335310349808589960443318351945061704934907202273188878464743176348381936935720880481639082261342814439234978448637651438925166704346424695100861350122616724554556375040, 0, 1571786002565360486843467187300069163339625933681088019314884321641685573980454846511088892487708598785158226552813857025230839844338113247046406611768428392433090416448627443600236549108652937550610100866057757917739295709461917151195293548544000, 0, 162887002945479459603701142355202546411573893645072424144913132962184948875350916164151646350930399905728114284680471483153775346086314543993807981253084391435343709651296211546652278784, 0, 7133126502689215892749273049527513195634277136512432666329204183679446301927248226205488901449834374749537937475718802178048, 0, 139265920436617486513330919092063469844973024774623988322890752, 0, 1], 1]], 'hecke_orbit_code': 4503668900495364, 'p': 83}
  • id: 15748
    {'charpoly_factorization': [[[153169241851037018781180079244953686832804627219617298428406978377327790861899541763265777396643036214357329934012587938111751150860173153773428554096719103696374448954841810884013239710249418703547561662522624911916928, -22475931253469199314944613076023142232452972990526740045601994720814727657811148117342921728819374249434257749067963809356910038458295147748901083804285271576105345986235447029330469076544, -1317330327520343443706680025497546565819810542842870349836116952027553093411632956126800068149612248087803390220410128517684120425976065629029564191797162656, 290145575492460295227482510085827556343592282161850395422978297837777159599868279752811101161498400263003221886772293663203888, -1140967694636494927564673834900215553895551512358944298272774630832648735725756908242462575896, -943890819377660709180816155606112037670908972475488343244235692, 9236906105818351591711724253938, 1], 2]], 'hecke_orbit_code': 4503668900495364, 'p': 89}
  • id: 15749
    {'charpoly_factorization': [[[1217005367478527488662178527739786542971879680767861995081888178270970249637309442318355422546626625840266373341788770988131475925383510286792774236056560737390286597805763006270851774768576371517134810883284806890160000, -1077533570954683075811452459083052864777614199587799196774150969030573371340789208179259658151339013880341368901215912364723020152963341007060302676791726717626035168984132941656326522011200, 284366672006627714725711433059892586817979058783259698914897708001209710515855469193206925361240546315949209374634199002348483681502442579946419662579121651040, -16368240379617024984005051751914133381346054691749023472867401926766311202312376784449229504243084906280329242694988179473956304, -1166406952191392592543663747046564738575112190520930219425115228530966115228217022943464744386840, -9550262126107814986009881985039877956346328764025185437756587948, 100897569757974186609399979597810, 1], 2]], 'hecke_orbit_code': 4503668900495364, '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': 2, 'hecke_orbit': 2, 'label': '4.33.b.b', 'level': 4, 'portrait': 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', 'weight': 33}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 80668000
    {'hecke_orbit_code': 4503668900495364, 'n': 1, 'trace_an': 14}
  • id: 80668001
    {'hecke_orbit_code': 4503668900495364, 'n': 2, 'trace_an': -23780}
  • id: 80668002
    {'hecke_orbit_code': 4503668900495364, 'n': 3, 'trace_an': 0}
  • id: 80668003
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