Newform data - 9.16.a.a

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• 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': 2304, 'analytic_conductor': 12.842415458992837, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, -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': [9, 1, [2], [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': [[2, [216, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 268435465, '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': '9.16.a.a', 'level': 9, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_prime_square': True, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [3], 'level_radical': 3, 'minimal_twist': '1.16.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-6^{3}q^{2}+13888q^{4}-52110q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '15.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '9.16.a', 'trace_display': [-216, 0, -52110, 2822456], 'trace_hash': 1064046572415535206, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.979', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.927', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.076', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.710', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, 'traces': [1, -216, 0, 13888, -52110, 0, 2822456, 4078080, 0, 11255760, -20586852, 0, -190073338, -609650496, 0, -1335947264, -1646527986, 0, 1563257180, -723703680, 0, 4446760032, -9451116072, 0, -27802126025, 41055841008, 0, 39198268928, 36902568330, 0, 71588483552, 154934083584, 0, 355650044976, -147078182160, 0, -1033652081554, -337663550880, 0, -212508748800, -1641974018202, 0, -492403109308, -285910200576, 0, 2041441071552, 3410684952624, 0, 3218696361993, 6005259221400, 0, -2639738518144, -6797151655902, 0, 1072780857720, 11510201364480, 0, -7970954759280, -9858856815540, 0, 4931842626902, -15463112447232, 0, 10310557892608, 9904721643180, 0, -28837826625364, -22866980669568, 0, 31768887346560, -125050114914552, 0, -82171455513478, 223268849615664, 0, 21710515715840, -58105483948512, 0, -25413078694480, 69616211927040, 0, 354666387931632, 281736730890468, 0, 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5331777740907427840320, 0, 4865764842952573552200, -20615107294153188311040, 0, -16810846958000372562000, 2641798905918761108160, 0, 11191700426528885073372, -7301464437723094102464, 0, 8377040502013734743040, -3872693771495666141220, 0, -15338437699335420028444, -4217674423400767703808, 0, -6038418462506622017280, 14913372374629398837648, 0, -5800072381805892926736, 25585378032187614764304, 0, 1499787159992520613760, 4589953401393374702688, 0, -5866674181682656972120, 2008444851224290713600, 0, 29946894721853126249232, 23768692759092483414576, 0, 28737725437367885842850, -37939320992421622564992, 0, 5717465606104491294720, 16794638211772494268830, 0, 5031650198125436359740, 10978550351168567577984, 0, -29512288297439197897824, -1766363705081064151920, 0, 5044656161649011646746, 17580995305715168780544, 0, -2468325251534614456320, -16542548428439130835302, 0, 15518487033235342742544, 13170912788888415682560, 0, -2189598466103341577856, 9815830250691060979524, 0, 15618602837765267449564, 9387764595614759652000, 0, -18951868671111706337280, 5979138890537025630198, 0, -5139212772410791793280, -4901859762686815380480, 0, 13846855010196500478720, -29896022710318661363376, 0, -18340351014569711393247, -42437455517869273566432, 0, 952285820114750312576, 464392676381901505380, 0, -14475696971583064201864, -15306786567101887925760, 0, 6897373679064373817760, -1779211406030716089252, 0, -52697826251326626974240, 5213012598244874096064, 0, -6588681663888299696128, -10408769654278916425266, 0, 14732333481512600502120, -2329382401976946234240, 0, -6067611479138051883168, -32646136192413800125032, 0, 1845609788170541857860, 13124400086294413210080, 0, -4126590191811168273920, 4653758940283611598176, 0, -7473270757865514401248, 11091496094297377210368, 0, 76236864582513624417792, 14927482127853020358000, 0, -31080942682464818856274, 37150618380866639042400, 0, 12393447359302667520000], 'weight': 16, 'weight_parity': 1}
• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
  {'an': [[1], [-216], [0], [13888], [-52110], [0], [2822456], [4078080], [0], [11255760], [-20586852], [0], [-190073338], [-609650496], [0], [-1335947264], [-1646527986], [0], [1563257180], [-723703680], [0], [4446760032], [-9451116072], [0], [-27802126025], [41055841008], [0], [39198268928], [36902568330], [0], [71588483552], [154934083584], [0], [355650044976], [-147078182160], [0], [-1033652081554], [-337663550880], [0], [-212508748800], [-1641974018202], [0], [-492403109308], [-285910200576], [0], [2041441071552], [3410684952624], [0], [3218696361993], [6005259221400], [0], [-2639738518144], [-6797151655902], [0], [1072780857720], [11510201364480], [0], [-7970954759280], [-9858856815540], [0], [4931842626902], [-15463112447232], [0], [10310557892608], [9904721643180], [0], [-28837826625364], [-22866980669568], [0], [31768887346560], [-125050114914552], [0], [-82171455513478], [223268849615664], [0], [21710515715840], [-58105483948512], [0], [-25413078694480], [69616211927040], [0], [354666387931632], [281736730890468], [0], [85800573350460], [106359071610528], [0], [-83954829404160], [-715618564776810], [0], [-536473633278128], [-131257100007936], [0], [-736707949766784], [-81461331649800], [0], [612786136081826], [-695238414190488], [0], [-386115926235200]], 'ap': [[-216], [0], [-52110], [2822456], [-20586852], [-190073338], [-1646527986], [1563257180], [-9451116072], [36902568330], [71588483552], [-1033652081554], [-1641974018202], [-492403109308], [3410684952624], [-6797151655902], [-9858856815540], [4931842626902], [-28837826625364], [-125050114914552], [-82171455513478], [-25413078694480], [281736730890468], [-715618564776810], [612786136081826], [817641571654098], [741114547982552], [2514301452571644], [1268353947457190], [2054162866352238], [2990675947730816], [1626226733523348], [-10592201511845946], [-18670911522208540], [12555957651134850], [28758788173002152], [-14527638158544394], [16774137626235212], [-64199924334659736], [75986044070753178], [-93374877047641020], [74317669765796702], [98622390566317248], [-8911776556935358], [-35417574134917326], [-286460988828497800], [375833826551569052], [-25307787891567328], [-303691994772520716], [107991586981028270], [790506217682068518], [-352956492128946960], [68568967462179602], [-1588056499493163252], [828562059034685694], [-1404454851260256312], [-1435820360137377030], [509159783589159152], [568946210839495166], [4061836641519738198], [2785059360043480532], [3638027115775808658], [-975296087300763844], [-336691659808831752], [3655511591562842762], [797379754904038314], [-10158512678893878748], [-4814653881814264654], [-4502751666049603476], [22432314991369546550], [-8025097307604388002], [-1615072843193774040], [-9977994448626462064], [-23686588714485006178], [18685121156982396020], [30252066823473936768], [1007143932951970290], [35632419864211771526], [-39432703089652313202], [-52782330312986685910], [-8626299410782459980], [-42924857411864654098], [-50476373204365891152], [50573397093112460882], [24794607909003802760], [130654278967707957708], [77827995175927650750], [-118450824223090809094], [-138643031119690399302], [175645004594544548912], [136630964339996286564], [-64105810232391205920], [-24134317584467009704], [28090793884898388348], [-171993603615123328900], [183496515279116728248], [-267203608600830147990], [201467622292352438598], [358988638501746249572], [202328193434804061302], [74096261798900732876], [-2096258165482303206], [-687352768991581988412], [90521802682779479670], [205773783706772924852], [570778361125879587266], [930363435275990480604], [-354224807936897233842], [330045214241748274200], [-335883995287326350998], [-1334375729047804699744], [5688435372944444462], [-398915477694945040986], [-540016641807600756220], [959110676308468369352], [925925342118025231998], [-765927858754026197908], [-1360754271840232136376], [271808672598939928698], [-674316250030836216540], [1267268866679850853502], [-1139445987246513182878], [-1744312019604807273966], [1437390792807621086268], [-1775475477541366791748], [-1431003389167119462102], [-2418403187913507119410], [-4744438233844295461680], [-3592646945141378296984], [-2768235432318591148618], [3558241342219996245260], [1940919448954530628008], [4755648944590489774352], [3621365428229853791006], [3863611493551703142198], [-5393270765226373961470], [-6570369572295558011022], [-372073581785586295204], [-2615111134656369060726], [-5348992550333367700890], [8464923563697895536452], [-7993973312037568404702], [1968405114515095582472], [14353875238140627185484], [-8833271554558074901930], [-12669646577325254931960], [6005322570637837971902], [-14758947243889334451306], [964956153039498126740], [-3443909030568133847712], [-10985023771436785030234], [7984619570820038841198], [5452357163027018171132], [-16712728456718529373896], [-15338437699335420028444], [14913372374629398837648], [-5866674181682656972120], [16794638211772494268830], [5044656161649011646746], [-16542548428439130835302], [9815830250691060979524], [5979138890537025630198], [-14475696971583064201864], [-1779211406030716089252], [-10408769654278916425266], [-32646136192413800125032], [-7473270757865514401248], [-31080942682464818856274]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 268435465, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '9.16.a.a', 'level': 9, 'maxp': 997, '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': [3, 3], 'ALdims_eis_new': [0, 1], 'ALdims_eis_old': [2, 1], 'ALdims_old': [4, 3], 'Nk2': 2304, 'analytic_conductor': 12.842415458992837, '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': [9, 1, [2], [1]], 'conrey_index': 1, 'cusp_dim': 13, 'dim': 6, 'eis_dim': 4, 'eis_new_dim': 1, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 268435465, 'hecke_orbit_dims': [1, 1, 1, 1, 2], 'label': '9.16.a', 'level': 9, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_prime_square': True, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [3], 'level_radical': 3, 'mf_dim': 17, 'mf_new_dim': 7, 'num_forms': 5, 'plus_dim': 3, 'prim_orbit_index': 1, 'relative_dim': 6, 'sturm_bound': 16, 'trace_bound': 2, 'trace_display': [90, 0, -111330, -4637508], 'traces': [6, 90, 0, 149748, -111330, 0, -4637508, -2789784, 0, 72765540, 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0, -176463576795566101039200], 'weight': 16, 'weight_parity': 1}
• mf_twists_nf •

  Column	Type
  conductor	integer
  degree	integer
  multiplicity	smallint
  order	integer
  parity	smallint
  self_twist_disc	integer
  source_char_orbit	smallint
  source_dim	integer
  source_hecke_orbit	integer
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_char_orbit	smallint
  target_dim	integer
  target_hecke_orbit	integer
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_char_orbit	smallint
  weight	smallint

  
  
  • id: 5622
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '9.16.a.a', 'source_level': 9, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '1.16.a.a', 'target_level': 1, 'twist_class_label': '1.16.a.a', 'twist_class_level': 1, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 16}
  • id: 5623
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '9.16.a.a', 'source_level': 9, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '9.16.a.a', 'target_level': 9, 'twist_class_label': '1.16.a.a', 'twist_class_level': 1, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 16}
  • id: 5624
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '9.16.a.a', 'source_level': 9, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '16.16.a.d', 'target_level': 16, 'twist_class_label': '1.16.a.a', 'twist_class_level': 1, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 16}
  • id: 5625
    {'conductor': 15, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '9.16.a.a', 'source_level': 9, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '25.16.a.a', 'target_level': 25, 'twist_class_label': '1.16.a.a', 'twist_class_level': 1, 'twisting_char_label': '15.d', 'twisting_char_orbit': 4, 'weight': 16}
  • id: 5626
    {'conductor': 15, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '9.16.a.a', 'source_level': 9, 'target_char_orbit': 2, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '25.16.b.a', 'target_level': 25, 'twist_class_label': '1.16.a.a', 'twist_class_level': 1, 'twisting_char_label': '15.e', 'twisting_char_orbit': 5, 'weight': 16}
  • id: 5627
    {'conductor': 21, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '9.16.a.a', 'source_level': 9, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '49.16.a.a', 'target_level': 49, 'twist_class_label': '1.16.a.a', 'twist_class_level': 1, 'twisting_char_label': '21.c', 'twisting_char_orbit': 3, 'weight': 16}
  • id: 5628
    {'conductor': 21, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '9.16.a.a', 'source_level': 9, 'target_char_orbit': 3, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '49.16.c.b', 'target_level': 49, 'twist_class_label': '1.16.a.a', 'twist_class_level': 1, 'twisting_char_label': '21.g', 'twisting_char_orbit': 7, 'weight': 16}
  • id: 5629
    {'conductor': 21, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '9.16.a.a', 'source_level': 9, 'target_char_orbit': 3, 'target_dim': 2, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '49.16.c.c', 'target_level': 49, 'twist_class_label': '1.16.a.a', 'twist_class_level': 1, 'twisting_char_label': '21.h', 'twisting_char_orbit': 8, 'weight': 16}
  • id: 5630
    {'conductor': 24, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '9.16.a.a', 'source_level': 9, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '64.16.a.c', 'target_level': 64, 'twist_class_label': '1.16.a.a', 'twist_class_level': 1, 'twisting_char_label': '24.f', 'twisting_char_orbit': 6, 'weight': 16}
  • id: 5631
    {'conductor': 24, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '9.16.a.a', 'source_level': 9, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 9, 'target_is_minimal': False, 'target_label': '64.16.a.i', 'target_level': 64, 'twist_class_label': '1.16.a.a', 'twist_class_level': 1, 'twisting_char_label': '24.h', 'twisting_char_orbit': 8, 'weight': 16}
  • id: 5632
    {'conductor': 33, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '9.16.a.a', 'source_level': 9, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '121.16.a.a', 'target_level': 121, 'twist_class_label': '1.16.a.a', 'twist_class_level': 1, 'twisting_char_label': '33.d', 'twisting_char_orbit': 4, 'weight': 16}
  • id: 5633
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 1, 'source_is_minimal': False, 'source_label': '9.16.a.a', 'source_level': 9, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '144.16.a.f', 'target_level': 144, 'twist_class_label': '1.16.a.a', 'twist_class_level': 1, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 16}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 38150
    {'charpoly_factorization': [[[216, 1], 1]], 'hecke_orbit_code': 268435465, 'p': 2}
  • id: 38151
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 268435465, 'p': 3}
  • id: 38152
    {'charpoly_factorization': [[[52110, 1], 1]], 'hecke_orbit_code': 268435465, 'p': 5}
  • id: 38153
    {'charpoly_factorization': [[[-2822456, 1], 1]], 'hecke_orbit_code': 268435465, 'p': 7}
  • id: 38154
    {'charpoly_factorization': [[[20586852, 1], 1]], 'hecke_orbit_code': 268435465, 'p': 11}
  • id: 38155
    {'charpoly_factorization': [[[190073338, 1], 1]], 'hecke_orbit_code': 268435465, 'p': 13}
  • id: 38156
    {'charpoly_factorization': [[[1646527986, 1], 1]], 'hecke_orbit_code': 268435465, 'p': 17}
  • id: 38157
    {'charpoly_factorization': [[[-1563257180, 1], 1]], 'hecke_orbit_code': 268435465, 'p': 19}
  • id: 38158
    {'charpoly_factorization': [[[9451116072, 1], 1]], 'hecke_orbit_code': 268435465, 'p': 23}
  • id: 38159
    {'charpoly_factorization': [[[-36902568330, 1], 1]], 'hecke_orbit_code': 268435465, 'p': 29}
  • id: 38160
    {'charpoly_factorization': [[[-71588483552, 1], 1]], 'hecke_orbit_code': 268435465, 'p': 31}
  • id: 38161
    {'charpoly_factorization': [[[1033652081554, 1], 1]], 'hecke_orbit_code': 268435465, 'p': 37}
  • id: 38162
    {'charpoly_factorization': [[[1641974018202, 1], 1]], 'hecke_orbit_code': 268435465, 'p': 41}
  • id: 38163
    {'charpoly_factorization': [[[492403109308, 1], 1]], 'hecke_orbit_code': 268435465, 'p': 43}
  • id: 38164
    {'charpoly_factorization': [[[-3410684952624, 1], 1]], 'hecke_orbit_code': 268435465, 'p': 47}
  • id: 38165
    {'charpoly_factorization': [[[6797151655902, 1], 1]], 'hecke_orbit_code': 268435465, 'p': 53}
  • id: 38166
    {'charpoly_factorization': [[[9858856815540, 1], 1]], 'hecke_orbit_code': 268435465, 'p': 59}
  • id: 38167
    {'charpoly_factorization': [[[-4931842626902, 1], 1]], 'hecke_orbit_code': 268435465, 'p': 61}
  • id: 38168
    {'charpoly_factorization': [[[28837826625364, 1], 1]], 'hecke_orbit_code': 268435465, 'p': 67}
  • id: 38169
    {'charpoly_factorization': [[[125050114914552, 1], 1]], 'hecke_orbit_code': 268435465, 'p': 71}
  • id: 38170
    {'charpoly_factorization': [[[82171455513478, 1], 1]], 'hecke_orbit_code': 268435465, 'p': 73}
  • id: 38171
    {'charpoly_factorization': [[[25413078694480, 1], 1]], 'hecke_orbit_code': 268435465, 'p': 79}
  • id: 38172
    {'charpoly_factorization': [[[-281736730890468, 1], 1]], 'hecke_orbit_code': 268435465, 'p': 83}
  • id: 38173
    {'charpoly_factorization': [[[715618564776810, 1], 1]], 'hecke_orbit_code': 268435465, 'p': 89}
  • id: 38174
    {'charpoly_factorization': [[[-612786136081826, 1], 1]], 'hecke_orbit_code': 268435465, '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': 1, 'label': '9.16.a.a', 'level': 9, 'portrait': 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', 'weight': 16}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 3894510
    {'hecke_orbit_code': 268435465, 'n': 1, 'trace_an': 1}
  • id: 3894511
    {'hecke_orbit_code': 268435465, 'n': 2, 'trace_an': -216}
  • id: 3894512
    {'hecke_orbit_code': 268435465, 'n': 3, 'trace_an': 0}
  • id: 3894513
    {'hecke_orbit_code': 268435465, 'n': 4, 'trace_an': 13888}
  • id: 3894514
    {'hecke_orbit_code': 268435465, 'n': 5, 'trace_an': -52110}
  • id: 3894515
    {'hecke_orbit_code': 268435465, 'n': 6, 'trace_an': 0}
  • id: 3894516
    {'hecke_orbit_code': 268435465, 'n': 7, 'trace_an': 2822456}
  • id: 3894517
    {'hecke_orbit_code': 268435465, 'n': 8, 'trace_an': 4078080}
  • id: 3894518
    {'hecke_orbit_code': 268435465, 'n': 9, 'trace_an': 0}
  • id: 3894519
    {'hecke_orbit_code': 268435465, 'n': 10, 'trace_an': 11255760}
  • id: 3894520
    {'hecke_orbit_code': 268435465, 'n': 11, 'trace_an': -20586852}
  • id: 3894521
    {'hecke_orbit_code': 268435465, 'n': 12, 'trace_an': 0}
  • id: 3894522
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  • id: 3894530
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  • id: 3894533
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  • id: 3894713
    {'hecke_orbit_code': 268435465, 'n': 643, 'trace_an': -765927858754026197908}
  • id: 3894714
    {'hecke_orbit_code': 268435465, 'n': 647, 'trace_an': -1360754271840232136376}
  • id: 3894715
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  • id: 3894716
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  • id: 3894717
    {'hecke_orbit_code': 268435465, 'n': 661, 'trace_an': 1267268866679850853502}
  • id: 3894718
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  • id: 3894719
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  • id: 3894720
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  • id: 3894721
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  • id: 3894722
    {'hecke_orbit_code': 268435465, 'n': 701, 'trace_an': -1431003389167119462102}
  • id: 3894723
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  • id: 3894724
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  • id: 3894725
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  • id: 3894726
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  • id: 3894727
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  • id: 3894728
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  • id: 3894729
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  • id: 3894730
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  • id: 3894731
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  • id: 3894732
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  • id: 3894733
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  • id: 3894734
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  • id: 3894735
    {'hecke_orbit_code': 268435465, 'n': 787, 'trace_an': -372073581785586295204}
  • id: 3894736
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  • id: 3894737
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  • id: 3894738
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  • id: 3894739
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  • id: 3894740
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  • id: 3894741
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  • id: 3894742
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  • id: 3894743
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  • id: 3894744
    {'hecke_orbit_code': 268435465, 'n': 841, 'trace_an': -7267389198247865452049}
  • id: 3894745
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  • id: 3894746
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  • id: 3894747
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  • id: 3894748
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  • id: 3894749
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  • id: 3894750
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  • id: 3894751
    {'hecke_orbit_code': 268435465, 'n': 883, 'trace_an': 5452357163027018171132}
  • id: 3894752
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  • id: 3894753
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  • id: 3894754
    {'hecke_orbit_code': 268435465, 'n': 911, 'trace_an': 14913372374629398837648}
  • id: 3894755
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  • id: 3894756
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  • id: 3894757
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  • id: 3894758
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  • id: 3894759
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  • id: 3894760
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  • id: 3894761
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  • id: 3894762
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  • id: 3894763
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  • id: 3894764
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  • id: 3894765
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  • id: 3894766
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  • id: 3894767
    {'hecke_orbit_code': 268435465, 'n': 997, 'trace_an': -31080942682464818856274}