Newform data - 32.16.a.d

Formats: - HTML - YAML - JSON - 2026-01-24T07:44:55.302014

• 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': 8192, 'analytic_conductor': 45.66192163197453, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 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': [32, 1, [31, 5], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 4, 'field_disc': 2657491200, 'field_disc_factorization': [[2, 8], [3, 3], [5, 2], [7, 1], [13, 3]], 'field_poly': [4329, -4680, -624, 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': 1, 'hecke_cutters': [[3, [249588051148800, 0, -40435200, 0, 1]]], 'hecke_orbit': 4, 'hecke_orbit_code': 13510799150546976, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 815372697600, 'hecke_ring_index_factorization': [[2, 27], [3, 5], [5, 2]], '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_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '32.16.a.d', 'level': 32, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2], 'level_radical': 2, 'minimal_twist': '32.16.a.d', 'nf_label': '4.4.2657491200.1', 'prim_orbit_index': 1, 'qexp_display': 'q-\\beta _{1}q^{3}+(94630-\\beta _{2})q^{5}+(313\\beta _{1}+\\cdots)q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '15.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '32.16.a', 'trace_display': [0, 0, 378520, 0], 'trace_hash': 2174409052683374149, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.101', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.805', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.954', 'prec': 17}, {'__RealLiteral__': 0, 'data': '70.090', 'prec': 20}, {'__RealLiteral__': 0, 'data': '13.240', 'prec': 20}, {'__RealLiteral__': 0, 'data': '1770.998', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.505', 'prec': 17}, 'traces': [4, 0, 0, 0, 378520, 0, 0, 0, 23474772, 0, 0, 0, 419465592, 0, 0, 0, 591835016, 0, 0, 0, -25285478400, 0, 0, 0, 79371614300, 0, 0, 0, 91238304440, 0, 0, 0, 72486835200, 0, 0, 0, 782453280664, 0, 0, 0, 1391017598440, 0, 0, 0, 12490017584760, 0, 0, 0, 21892975976228, 0, 0, 0, 27421209552728, 0, 0, 0, 56488917888000, 0, 0, 0, 99881136760760, 0, 0, 0, 222706978986960, 0, 0, 0, 395505047808000, 0, 0, 0, -107203120304472, 0, 0, 0, 307108740556800, 0, 0, 0, -385982424095004, 0, 0, 0, 294170616453680, 0, 0, 0, -970731280351640, 0, 0, 0, -1533190859366400, 0, 0, 0, -4182168449265336, 0, 0, 0, 1385480601002392, 0, 0, 0, -13814760372940800, 0, 0, 0, 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• 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

  
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[5917477657780069860457102, 0, 114262381493681395763, 0], [-15634532696025930144810278, 0, -170623486938376611932, 0], [0, 7309599849424587535431, 0, -10378470224401511673], [-24749763460898062223301214, 0, -127119255215702781088, 0], [0, 2210307846088366945151, 0, 2380544274424621352], [0, 14291303633384407735313, 0, -12856642738734243727], [0, -1428130347337248362950, 0, -7617578162383537630], [9038604695034227001436566, 0, -41594327316767928925, 0], [0, -10430110598112723410943, 0, 9364628404828412184], [0, -13008410670965033848744, 0, 6878309199689040296], [-930427310027932253444286, 0, -267532060359293280344, 0], [-63997282821937943688040058, 0, -10680859829111277085, 0], [0, -2067515049403314827385, 0, 9164658496237695318], [0, -7088901157175028867741, 0, -14057056506284412024], [0, -599038088295394480789, 0, 13617219330162567491], [41256743919570120326763402, 0, 157035599438617297636, 0], [0, -4930189860654180617132, 0, -990058405470622604], [39497635079774823692308090, 0, 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-259877248692064274446, 0], [41901942453528967830260798, 0, 283481215422290615951, 0], [0, 24829554217411671587400, 0, -7206351774591535800], [0, -16330559500468006263547, 0, 25205305100041154357], [20758461021940589179913506, 0, 365416240354532379410, 0], [0, -5067930557259058642917, 0, -32664906497716270557], [-38261284687293520825268914, 0, 198022863404113030887, 0], [68874654101941421987782246, 0, -583636671029468047797, 0], [0, 1304602524258034198618, 0, 30865864606606607170], [0, 7422223867870752220589, 0, -26557431003925828996], [77689414476730993325495578, 0, 250135379666440458804, 0], [104707321786144198104817694, 0, -94358273367581625625, 0], [0, 24107944236456581082257, 0, 4431984217075936226], [-81723150823769186690677414, 0, -674743506222875754166, 0], [0, 22638949617255982692907, 0, 20506216320303191998], [0, -32139549308837038758081, 0, 4132520592581026839]], 'char_orbit_index': 1, 'field_poly': [4329, -4680, -624, 0, 1], 'hecke_orbit_code': 13510799150546976, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 209, 209, 209], 'hecke_ring_inverse_denominators': [1, 737280, 30720, 245760], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0], [0, 2731, -16, 1], [9584640, 811, -40, 1], [862617600, 514167, -4784, 357]], 'hecke_ring_numerators': [[1, 0, 0, 0], [481728, 113952, -464, -96], [44928000, -2695680, -230400, 7680], [-596751168, -200242272, -2419216, 385056]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 4, 'label': '32.16.a.d', 'level': 32, 'maxp': 2999, '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, 7], 'ALdims_eis_new': [0, 0], 'ALdims_eis_old': [4, 4], 'ALdims_old': [21, 20], 'Nk2': 8192, 'analytic_conductor': 45.66192163197453, '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': [32, 1, [31, 5], [1, 1]], 'conrey_index': 1, 'cusp_dim': 56, 'dim': 15, 'eis_dim': 8, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 268435488, 'hecke_orbit_dims': [1, 2, 4, 4, 4], 'label': '32.16.a', 'level': 32, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2], 'level_radical': 2, 'mf_dim': 64, 'mf_new_dim': 15, 'num_forms': 5, 'plus_dim': 8, 'prim_orbit_index': 1, 'relative_dim': 15, 'sturm_bound': 64, 'trace_bound': 3, 'trace_display': [0, 0, 136762, 0], 'traces': [15, 0, 0, 0, 136762, 0, 0, 0, 79368635, 0, 0, 0, 120424706, 0, 0, 0, 4438177598, 0, 0, 0, -9134904320, 0, 0, 0, 86677853529, 0, 0, 0, -90077046862, 0, 0, 0, -43034787328, 0, 0, 0, -317507747334, 0, 0, 0, -3670233439706, 0, 0, 0, 13406940169666, 0, 0, 0, 25047999183047, 0, 0, 0, -27995097380086, 0, 0, 0, -15028009624064, 0, 0, 0, 35629062442610, 0, 0, 0, 98184753172044, 0, 0, 0, 101120639222784, 0, 0, 0, -530607134730, 0, 0, 0, 43331098715136, 0, 0, 0, -162778268119849, 0, 0, 0, 261658277681972, 0, 0, 0, 1102203316314886, 0, 0, 0, -3206066322706432, 0, 0, 0, -994359232669234, 0, 0, 0, -550490094466694, 0, 0, 0, -873957731891200, 0, 0, 0, -227805129389246, 0, 0, 0, 3516663485467150, 0, 0, 0, 327155364678698, 0, 0, 0, -5035380082660429, 0, 0, 0, 3843155759968068, 0, 0, 0, 23451777701597696, 0, 0, 0, -47656110775100416, 0, 0, 0, 8523055550018822, 0, 0, 0, 9382082187986944, 0, 0, 0, 19953688045960300, 0, 0, 0, 90842976385453130, 0, 0, 0, 61188247206861078, 0, 0, 0, -13494977650175470, 0, 0, 0, -156000207131326464, 0, 0, 0, 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-990850852274122763182, 0, 0, 0, -2447158518705057029172, 0, 0, 0, 2842373749709361071706, 0, 0, 0, 2214347063602430439424, 0, 0, 0, -1557107374829261007070, 0, 0, 0, -3730683355984746396672, 0, 0, 0, 2856043382215889380884, 0, 0, 0, 2937461941683014488118, 0, 0, 0, -3471609442899318841344, 0, 0, 0, -1818394591302026778466, 0, 0, 0, 4291109915242537982976, 0, 0, 0, 4578584931724794046012, 0, 0, 0, -1814562200793650745344, 0, 0, 0, -3067195741952148497938, 0, 0, 0, 2827505875295122230272, 0, 0, 0, 2751203695420474119942, 0, 0, 0, -5645187705025684799342, 0, 0, 0, -4971881979089979381760, 0, 0, 0, 3692872916616888833306, 0, 0, 0, 3701939573797202141782, 0, 0, 0, -1613297002182812030976, 0, 0, 0, 288065889375366271251, 0, 0, 0, -1985515203875795649868, 0, 0, 0, -130150333939213001216, 0, 0, 0, 1835962735659551758482, 0, 0, 0, 1788023933978619241454, 0, 0, 0, -727065519396531246080, 0, 0, 0, -5200121883993883791872, 0, 0, 0, 3012443583724788095650, 0, 0, 0, 2204255910430683118638, 0, 0, 0, -5030120373308023538806, 0, 0, 0, -2940749872958905866240, 0, 0, 0, 2569184084745267712000, 0, 0, 0, -291963627563066627442, 0, 0, 0, -3441155766632153527046, 0, 0, 0, 932380665126277535232, 0, 0, 0, 3279615986692337723108, 0, 0, 0, 6582452870435416726188, 0, 0, 0, -11595619596686630915072, 0, 0, 0, -4202329817285406545524, 0, 0, 0, -688404278713353570958, 0, 0, 0, 19959518473056803041280, 0, 0, 0, -1891554138649191660262, 0, 0, 0, -13233017913342165147648, 0, 0, 0, 9962358439892450666496, 0, 0, 0, 2392479780050738755584, 0, 0, 0, -10945193800706720794370, 0, 0, 0, -19897834712574242462173, 0, 0, 0, 20823629530495735745266, 0, 0, 0, 4088602049444241277440, 0, 0, 0, -9859758181627827534848, 0, 0, 0, -3664930091933396292868, 0, 0, 0, 18161241459524679582720, 0, 0, 0, 31346002983291989174784, 0, 0, 0, -14277893866913892092118, 0, 0, 0, -19304859657620563442186, 0, 0, 0, 44856009143198028644676, 0, 0, 0, 35373498112168824702190, 0, 0, 0, -36304465421303739438118, 0, 0, 0, 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38551792209608385275904, 0, 0, 0, 122259973218833605490688, 0, 0, 0, -35560466145058219025708, 0, 0, 0, -56815628943314274452676, 0, 0, 0, 32305841311000338225666, 0, 0, 0, 51494121503974158764544, 0, 0, 0, -49630353297411018249216, 0, 0, 0, -34285145921046523015680, 0, 0, 0, 63897257368292038239606, 0, 0, 0, -9633561744626450625394, 0, 0, 0, 38966431758939332097024, 0, 0, 0, -5191065839465570464042, 0, 0, 0, -38975778406688193057790, 0, 0, 0, 18066183043408478228480, 0, 0, 0, -85765535520886938878124, 0, 0, 0, 35886499613848561409846, 0, 0, 0, 58532222606711712259072, 0, 0, 0, 21883209396457978298351, 0, 0, 0, 79953473036782951991764, 0, 0, 0, -59739590829535971050496, 0, 0, 0, 25414904767494301803520, 0, 0, 0, -16602639173708341075202, 0, 0, 0, -67471276261442325767318, 0, 0, 0, -167295118051257360254052, 0, 0, 0, -55529783637917632803840, 0, 0, 0, -49184913351770952474112, 0, 0, 0, 93438621039416552010554, 0, 0, 0], '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: 25954
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 4, 'source_is_minimal': True, 'source_label': '32.16.a.d', 'source_level': 32, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '32.16.a.d', 'target_level': 32, 'twist_class_label': '32.16.a.d', 'twist_class_level': 32, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 16}
  • id: 25955
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 4, 'source_is_minimal': True, 'source_label': '32.16.a.d', 'source_level': 32, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '32.16.a.d', 'target_level': 32, 'twist_class_label': '32.16.a.d', 'twist_class_level': 32, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 16}
  • id: 25956
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 4, 'source_is_minimal': True, 'source_label': '32.16.a.d', 'source_level': 32, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 16, 'target_is_minimal': False, 'target_label': '64.16.a.p', 'target_level': 64, 'twist_class_label': '32.16.a.d', 'twist_class_level': 32, 'twisting_char_label': '8.b', 'twisting_char_orbit': 2, 'weight': 16}
  • id: 25957
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 4, 'source_is_minimal': True, 'source_label': '32.16.a.d', 'source_level': 32, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 16, 'target_is_minimal': False, 'target_label': '64.16.a.p', 'target_level': 64, 'twist_class_label': '32.16.a.d', 'twist_class_level': 32, 'twisting_char_label': '8.d', 'twisting_char_orbit': 4, 'weight': 16}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 117125
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 13510799150546976, 'p': 2}
  • id: 117126
    {'charpoly_factorization': [[[249588051148800, 0, -40435200, 0, 1], 1]], 'hecke_orbit_code': 13510799150546976, 'p': 3}
  • id: 117127
    {'charpoly_factorization': [[[-32450807900, -189260, 1], 2]], 'hecke_orbit_code': 13510799150546976, 'p': 5}
  • id: 117128
    {'charpoly_factorization': [[[98717111065663256317132800, 0, -20441611008000, 0, 1], 1]], 'hecke_orbit_code': 13510799150546976, 'p': 7}
  • id: 117129
    {'charpoly_factorization': [[[237276074235650277162708172800, 0, -1681350971788800, 0, 1], 1]], 'hecke_orbit_code': 13510799150546976, 'p': 11}
  • id: 117130
    {'charpoly_factorization': [[[-39560366012425596, -209732796, 1], 2]], 'hecke_orbit_code': 13510799150546976, 'p': 13}
  • id: 117131
    {'charpoly_factorization': [[[-63728621280578684, -295917508, 1], 2]], 'hecke_orbit_code': 13510799150546976, 'p': 17}
  • id: 117132
    {'charpoly_factorization': [[[132890734235018081942039734300798156800, 0, -46997944008362380800, 0, 1], 1]], 'hecke_orbit_code': 13510799150546976, 'p': 19}
  • id: 117133
    {'charpoly_factorization': [[[115023631978066245908062874771117231308800, 0, -970818141282600499200, 0, 1], 1]], 'hecke_orbit_code': 13510799150546976, 'p': 23}
  • id: 117134
    {'charpoly_factorization': [[[60111516563224735300, -45619152220, 1], 2]], 'hecke_orbit_code': 13510799150546976, 'p': 29}
  • id: 117135
    {'charpoly_factorization': [[[246044955286061761155263232896949684063436800, 0, -39060297509796222566400, 0, 1], 1]], 'hecke_orbit_code': 13510799150546976, 'p': 31}
  • id: 117136
    {'charpoly_factorization': [[[30758798698348154696356, -391226640332, 1], 2]], 'hecke_orbit_code': 13510799150546976, 'p': 37}
  • id: 117137
    {'charpoly_factorization': [[[-477857162190944651188700, -695508799220, 1], 2]], 'hecke_orbit_code': 13510799150546976, 'p': 41}
  • id: 117138
    {'charpoly_factorization': [[[483478437539967723370125178474530382848000000, 0, -949678393766331752640000, 0, 1], 1]], 'hecke_orbit_code': 13510799150546976, 'p': 43}
  • id: 117139
    {'charpoly_factorization': [[[511719352692339950426431010723103757292071079116800, 0, -46355413950630139913625600, 0, 1], 1]], 'hecke_orbit_code': 13510799150546976, 'p': 47}
  • id: 117140
    {'charpoly_factorization': [[[3176870509075955739229924, -13710604776364, 1], 2]], 'hecke_orbit_code': 13510799150546976, 'p': 53}
  • id: 117141
    {'charpoly_factorization': [[[5242571487758837894680123706223113097050700344524800, 0, -240853527431960672734502400, 0, 1], 1]], 'hecke_orbit_code': 13510799150546976, 'p': 59}
  • id: 117142
    {'charpoly_factorization': [[[413058147533606160442956100, -49940568380380, 1], 2]], 'hecke_orbit_code': 13510799150546976, 'p': 61}
  • id: 117143
    {'charpoly_factorization': [[[15259568439144274924886320110309018089047105389423820800, 0, -9022177844800313961247833600, 0, 1], 1]], 'hecke_orbit_code': 13510799150546976, 'p': 67}
  • id: 117144
    {'charpoly_factorization': [[[44662821786237044103494826994353100816324100812623052800, 0, -13382516021548598504452454400, 0, 1], 1]], 'hecke_orbit_code': 13510799150546976, 'p': 71}
  • id: 117145
    {'charpoly_factorization': [[[-16378884606635748390406370076, 53601560152236, 1], 2]], 'hecke_orbit_code': 13510799150546976, 'p': 73}
  • id: 117146
    {'charpoly_factorization': [[[1816207990066866495080685260718796284296721513728232652800, 0, -91469467109967317368202649600, 0, 1], 1]], 'hecke_orbit_code': 13510799150546976, 'p': 79}
  • id: 117147
    {'charpoly_factorization': [[[9146041296902970823642890745384083813524113400832000000, 0, -8135187476588733217864896000, 0, 1], 1]], 'hecke_orbit_code': 13510799150546976, 'p': 83}
  • id: 117148
    {'charpoly_factorization': [[[-156392204706229703667493771100, 485365640175820, 1], 2]], 'hecke_orbit_code': 13510799150546976, 'p': 89}
  • id: 117149
    {'charpoly_factorization': [[[966316123865759140474693708356, 2091084224632668, 1], 2]], 'hecke_orbit_code': 13510799150546976, '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': 4, 'label': '32.16.a.d', 'level': 32, 'portrait': 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', 'weight': 16}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 35611201
    {'hecke_orbit_code': 13510799150546976, 'n': 1, 'trace_an': 4}
  • id: 35611202
    {'hecke_orbit_code': 13510799150546976, 'n': 2, 'trace_an': 0}
  • id: 35611203
    {'hecke_orbit_code': 13510799150546976, 'n': 3, 'trace_an': 0}
  • id: 35611204
    {'hecke_orbit_code': 13510799150546976, 'n': 4, 'trace_an': 0}
  • id: 35611205
    {'hecke_orbit_code': 13510799150546976, 'n': 5, 'trace_an': 378520}
  • id: 35611206
    {'hecke_orbit_code': 13510799150546976, 'n': 6, 'trace_an': 0}
  • id: 35611207
    {'hecke_orbit_code': 13510799150546976, 'n': 7, 'trace_an': 0}
  • id: 35611208
    {'hecke_orbit_code': 13510799150546976, 'n': 8, 'trace_an': 0}
  • id: 35611209
    {'hecke_orbit_code': 13510799150546976, 'n': 9, 'trace_an': 23474772}
  • id: 35611210
    {'hecke_orbit_code': 13510799150546976, 'n': 10, 'trace_an': 0}
  • id: 35611211
    {'hecke_orbit_code': 13510799150546976, 'n': 11, 'trace_an': 0}
  • id: 35611212
    {'hecke_orbit_code': 13510799150546976, 'n': 12, 'trace_an': 0}
  • id: 35611213
    {'hecke_orbit_code': 13510799150546976, 'n': 13, 'trace_an': 419465592}
  • id: 35611214
    {'hecke_orbit_code': 13510799150546976, 'n': 14, 'trace_an': 0}
  • id: 35611215
    {'hecke_orbit_code': 13510799150546976, 'n': 15, 'trace_an': 0}
  • id: 35611216
    {'hecke_orbit_code': 13510799150546976, 'n': 16, 'trace_an': 0}
  • id: 35611217
    {'hecke_orbit_code': 13510799150546976, 'n': 17, 'trace_an': 591835016}
  • id: 35611218
    {'hecke_orbit_code': 13510799150546976, 'n': 18, 'trace_an': 0}
  • id: 35611219
    {'hecke_orbit_code': 13510799150546976, 'n': 19, 'trace_an': 0}
  • id: 35611220
    {'hecke_orbit_code': 13510799150546976, 'n': 20, 'trace_an': 0}
  • id: 35611221
    {'hecke_orbit_code': 13510799150546976, 'n': 21, 'trace_an': -25285478400}
  • id: 35611222
    {'hecke_orbit_code': 13510799150546976, 'n': 22, 'trace_an': 0}
  • id: 35611223
    {'hecke_orbit_code': 13510799150546976, 'n': 23, 'trace_an': 0}
  • id: 35611224
    {'hecke_orbit_code': 13510799150546976, 'n': 24, 'trace_an': 0}
  • id: 35611225
    {'hecke_orbit_code': 13510799150546976, 'n': 25, 'trace_an': 79371614300}
  • id: 35611226
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