Embedded newform data - 90.11.g.a.37.1

Formats: - HTML - YAML - JSON - 2026-06-07T03:08:51.150130

• 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': 10890, 'analytic_conductor': 57.18215274063517, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 5, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 7, 'char_orbit_label': 'g', 'char_order': 4, 'char_parity': -1, 'char_values': [90, 4, [11, 37], [4, 1]], 'cm_discs': [], 'conrey_index': 37, 'dim': 2, 'field_disc': -4, 'field_disc_factorization': [[-1, 1], [2, 2]], 'field_poly': [1, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 4, 'has_non_self_twist': 1, 'hecke_cutters': [[7, [96688418, -13906, 1]], [11, [75242, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 412501409882, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 3, -1, 4, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '90.11.g.a', 'level': 90, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5], 'level_radical': 30, 'minimal_twist': '10.11.c.b', 'nf_label': '2.0.4.1', 'prim_orbit_index': 3, 'qexp_display': 'q+(-16 i-16)q^{2}+512 i q^{4}+(-1100 i-2925)q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '10.2.3.c4', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '90.11.g', 'trace_display': [-32, 0, -5850, 13906], 'trace_hash': 672945315594403745, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.962', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '11.466', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '95.358', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.247', 'prec': 17}, 'traces': [2, -32, 0, 0, -5850, 0, 13906, 16384, 0, 58400, -150484, 0, 219714, 0, 0, -524288, 3057854, 0, 0, 1126400, 0, 2407744, 1424846, 0, 14691250, -7030848, 0, -7119872, 0, 0, -58161436, 8388608, 0, 0, -25378450, 0, -1823694, -129237760, 0, -65945600, 327891356, 0, 236845554, 0, 0, -45595072, -552640626, 0, 0, -29140000, 0, 112493568, -616920194, 0, 440165700, 227835904, 0, -14275840, 0, 0, -2707220076, 930582976, 0, 0, -884348850, 0, 1707141826, -1565621248, 0, -489491200, -5654029124, 0, -5506594366, 0, 0, 4135608320, -1046315252, 0, 0, 1533542400, 0, -5246261696, -2692678194, 0, -5580583550, -7579057728, 0, -1232764928, 0, 0, 3055342884, 729521152, 0, 0, -8885096000, 0, -1053125694, -5945178592, 0, -6589440000, -2900704244, 0, -13892591566, 0, 0, 19741446208, -22695280546, 0, 0, -4394132800, 0, -3645374464, 2838475966, 0, -5735005150, 456826880, 0, 30108427520, 0, 0, -40552132074, 43315521216, 0, 0, -28814906250, 0, -41841847694, -4294967296, 0, 20565230400, 94192578956, 0, 56161884080, 0, 0, 50099879936, -107260464546, 0, 0, 28657484800, 0, 90464465984, -16531720788, 0, -981464000, 176211019712, 0, 933731328, 0, 0, -80388694396, -66169733120, 0, 0, 170122200300, 0, -97815246894, 106384020480, 0, -15309209600, 19813908476, 0, -9314927246, 0, 0, 86165702208, 117317953774, 0, 0, -107636460800, 0, 121264923648, 213538337726, 0, 12663151250, 39448477696, 0, 85358410240, 0, 0, 241249062964, -48885486144, 0, 0, 3328241550, 0, -230079050668, 282952000512, 0, 520181984000, -592650365924, 0, -62893973886, 0, 0, 190245714944, 75611806734, 0, 0, 225781760000, 0, 46411267904, 6203744720, 0, -959082216300, 444562930112, 0, -57596706816, 0, 0, -496437829196, -315863139328, 0, 0, -953303354850, 0, -404396464508, -59903271680, 0, -84752588800, 671853333756, 0, 858743614194, 0, 0, -90831230912, -1596589943426, 0, 0, 133365585600, 0, 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4961878835200, 0, -10749653340096, 2052596091726, 0, 5868390704000, -27479795654208, 0, 1866431725568, 0, 0, -24671201408152, 1453299694592, 0, 0, -8936877935700, 0, -8713038749214, 18982454818560, 0, -1331376102400, -76856106934804, 0, -46212780228686, 0, 0, 13799327719488, -2559760313026, 0, 0, 19452950035200, 0, 15415514890240, -17820733174068, 0, 51977811600000, -21771529074688, 0, 35800879303680, 0, 0, -400691103516, 37698735564736, 0, 0, 1921954391550, 0, -38865320430894, -22177546862592, 0, 23929343832800, 102711109390636, 0, 1364169826480, 0, 0, 15246671478784, -39312464499172, 0, 0, 27548224000000, 0, -23251356255936, 29499565938126, 0, 8484559913700, 3430664407424, 0, 21423026019328, 0, 0, -76574701253596, -2199023255552, 0, 0, 55917681053150, 0, 41581785981492, -405764620224, 0, -3959773593600, 93720835784796, 0, 83750386401714, 0, 0, -17829964816832, -88924589859172, 0, 0, -57743730158400, 0, 28754884648960, 36021160696092, 0, 41418886996450, 27969811677184, 0, 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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

  
  {'an_normalized': [[1.0, 0.0], [-0.5, -0.5], [0.0, 0.0], [0.0, 0.5], [-0.936, -0.352], [0.0, 0.0], [0.4136966740048789, 0.4136966740048789], [0.25, -0.25], [0.0, 0.0], [0.292, 0.644], [-0.46719362189616953, 0.0], [0.0, 0.0], [0.2958768412008845, -0.2958768412008845], [0.0, -0.4136966740048789], [0.0, 0.0], [-0.25, 0.0], [1.0768175950113286, 1.0768175950113286], [0.0, 0.0], [0.0, -1.6310656399441217], [0.176, -0.468], [0.0, 0.0], [0.23359681094808477, 0.23359681094808477], [0.11068754415356671, -0.11068754415356671], [0.0, 0.0], [0.752192, 0.658944], [-0.2958768412008845, 0.0], [0.0, 0.0], [-0.20684833700243946, 0.20684833700243946], [0.0, -0.021750122335906195], [0.0, 0.0], [-1.0157729790869454, 0.0], [0.125, 0.125], [0.0, 0.0], [0.0, -1.0768175950113286], [-0.24159885761884928, -0.532841316118284], [0.0, 0.0], [-0.013149624559209969, -0.013149624559209969], [-0.8155328199720608, 0.8155328199720608], [0.0, 0.0], [-0.322, 0.146], [1.4150790081577076, 0.0], [0.0, 0.0], [0.8055508553342069, -0.8055508553342069], [0.0, -0.23359681094808477], [0.0, 0.0], [-0.11068754415356671, 0.0], [-1.2048237570744238, -1.2048237570744238], [0.0, 0.0], [0.0, -0.6577101238346019], [-0.046624, -0.705568], [0.0, 0.0], [0.14793842060044224, 0.14793842060044224], [-0.7375978511561816, 0.7375978511561816], [0.0, 0.0], [0.4372932300948147, 0.1644521549074517], [0.20684833700243946, 0.0], [0.0, 0.0], [-0.010875061167953098, 0.010875061167953098], [0.0, 1.3160671155198769], [0.0, 0.0], [-1.6026710469810594, 0.0], [0.5078864895434727, 0.5078864895434727], [0.0, 0.0], [0.0, -0.125], [-0.3810893714667392, 0.17279207526131654], [0.0, 0.0], [0.6322161617278924, 0.6322161617278924], [-0.5384087975056643, 0.5384087975056643], [0.0, 0.0], [-0.14562122924971738, 0.3872200868685667], [-1.566882037714949, 0.0], [0.0, 0.0], [-1.3281245048636388, 1.3281245048636388], [0.0, 0.013149624559209969], [0.0, 0.0], [0.8155328199720608, 0.0], [-0.19327644749473832, -0.19327644749473832], [0.0, 0.0], [0.0, 1.0804158939304511], [0.234, 0.088], [0.0, 0.0], [-0.7075395040788538, -0.7075395040788538], [-0.34179365460281697, 0.34179365460281697], [0.0, 0.0], [-0.6288614754866159, -1.3869410623745912], [-0.8055508553342069, 0.0], [0.0, 0.0], [-0.11679840547404238, 0.11679840547404238], [0.0, 0.47769017224157423], [0.0, 0.0], [0.24480653023975127, 0.0], [0.05534377207678336, 0.05534377207678336], [0.0, 0.0], [0.0, 1.2048237570744238], [-0.5741351052603308, 1.526677438987698], [0.0, 0.0], [-0.06131850273089744, -0.06131850273089744], [-0.32885506191730096, 0.32885506191730096], [0.0, 0.0], [-0.329472, 0.376096]], 'angles': [None, None, None, -0.0777518113839548, -0.2875247889240407, -0.34145432687774957, 0.012749962155859336, -0.34822199990802866, -0.3625305215242466, -0.49826914614041423, -0.3347865337209921, -0.1264798740173472, -0.12490257330396143, -0.27854703534632835, -0.46271332908774826, -0.4623249477924457, 0.11430575724845919, -0.3979384038091127, -0.0512383080474382, 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-0.16014589991108125, -0.18196602358582692, -0.11870044314261236, -0.08358659159448793, 0.010279969245331994, -0.4469268209416792, 0.1618278285165704, -0.24308744487058676, -0.26033101989073476, 0.09797537138368598, -0.44018222789188927, -0.46735192962593786, -0.08441498243391767, -0.2807846624752098, 0.16546010924513754, 0.04360814100892515, -0.43340077590224096, -0.38230333124385013, -0.3733179198555156, -0.4727890215840785, -0.3682284039367769, -0.47498852648086254, -0.14969493156658858, -0.4370579718897718, 0.26435240708899255, -0.13148649777593852, -0.4639083570154356, -0.2086307040294037, -0.07185312975108817, -0.45447684730263266, -0.3225004510929081, 0.06381866665984985, -0.14551197670425964, -0.2384010894938544, -0.2523954835713387], 'char_orbit_index': 7, 'conrey_index': 37, 'dual_conrey_index': 73, 'dual_embedding_index': 1, 'dual_embedding_m': 2, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 1.0, 'embedding_root_real': 0.0, 'hecke_orbit': 1, 'hecke_orbit_code': 412501409882, 'label': '90.11.g.a.37.1', 'level': 90, 'weight': 11}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 10890, 'analytic_conductor': 57.18215274063517, 'char_conductor': 5, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 7, 'char_orbit_label': 'g', 'char_order': 4, 'char_parity': -1, 'char_values': [90, 4, [11, 37], [4, 1]], 'conrey_index': 37, 'cusp_dim': 344, 'dim': 50, 'eis_dim': 32, 'eis_new_dim': 0, 'hecke_cutter_primes': [7, 11], 'hecke_orbit_code': 412501409882, 'hecke_orbit_dims': [2, 2, 6, 8, 10, 10, 12], 'label': '90.11.g', 'level': 90, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5], 'level_radical': 30, 'mf_dim': 376, 'mf_new_dim': 50, 'num_forms': 7, 'prim_orbit_index': 3, 'relative_dim': 25, 'sturm_bound': 198, 'trace_bound': 5, 'trace_display': [-32, 0, 7560, -26180], 'traces': [50, -32, 0, 0, 7560, 0, -26180, 16384, 0, 79712, -419440, 0, 842766, 0, 0, -13107200, 4823582, 0, 0, -2587648, 0, 13506304, 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1837867454177280, -3175638957655280, 0, 0, -1645049382240256, 0, -322729049463872, -2430463148192040, 0, -2254893528017058, -3355586645486720, 0, -216315994308608, 0, 0, -6124313586606920, 1693239123016704, 0, 0, 3253346524296592, 0, 876889041534926, 7298107647910144, 0, -149401444153344, 563214774764580, 0, 5450635670400080, 0, 0, 271975032806400, -4661781745140068, 0, 0, -7123528886094464, 0, -679926794878976, -6061671742121154, 0, 5695905760239600, -1611983504547840, 0, -2455196617030912, 0, 0, 4283976279899790, 3682815059783232, 0, 0, 5284810732929690, 0, 2494756592553860, 1897113366675456, 0, 595268301092160, 7460100023948320, 0, -7529763244574576, 0, 0, -551376723640320, -4561548506600094, 0, 0, -4175895634219008, 0, 270198467535104, -3739914095486204, 0, -5751520596138966, -3179590022120960, 0, -2038350344146944, 0, 0, -2088479871614680, 194267309932544, 0, 0, 3558037537716288, 0, -2077597304965258, 7433870312539264, 0, 1768156810919936], 'weight': 11, '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: 5290945
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 37, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 412501409882, 'source_is_minimal': False, 'source_label': '90.11.g.a.37.1', 'source_level': 90, 'target_conrey_index': 37, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 412501409882, 'target_is_minimal': False, 'target_label': '90.11.g.a.37.1', 'target_level': 90, 'twist_class_label': '10.11.c.b.3.1', 'twist_class_level': 10, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 11}
  • id: 5290946
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 37, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 412501409882, 'source_is_minimal': False, 'source_label': '90.11.g.a.37.1', 'source_level': 90, 'target_conrey_index': 7, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503737250873354, 'target_is_minimal': True, 'target_label': '10.11.c.b.7.1', 'target_level': 10, 'twist_class_label': '10.11.c.b.3.1', 'twist_class_level': 10, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 11}
  • id: 5290947
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 37, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 412501409882, 'source_is_minimal': False, 'source_label': '90.11.g.a.37.1', 'source_level': 90, 'target_conrey_index': 73, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 412501409882, 'target_is_minimal': False, 'target_label': '90.11.g.a.73.1', 'target_level': 90, 'twist_class_label': '10.11.c.b.3.1', 'twist_class_level': 10, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 11}
  • id: 5290948
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 37, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 412501409882, 'source_is_minimal': False, 'source_label': '90.11.g.a.37.1', 'source_level': 90, 'target_conrey_index': 17, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 1030976700496, 'target_is_minimal': False, 'target_label': '80.11.p.a.17.1', 'target_level': 80, 'twist_class_label': '10.11.c.b.3.1', 'twist_class_level': 10, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 11}
  • id: 5290949
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 37, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 412501409882, 'source_is_minimal': False, 'source_label': '90.11.g.a.37.1', 'source_level': 90, 'target_conrey_index': 43, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503737250873394, 'target_is_minimal': False, 'target_label': '50.11.c.b.43.1', 'target_level': 50, 'twist_class_label': '10.11.c.b.3.1', 'twist_class_level': 10, 'twisting_char_label': '15.2', 'twisting_conrey_index': 2, 'weight': 11}
  • id: 5290950
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 37, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 412501409882, 'source_is_minimal': False, 'source_label': '90.11.g.a.37.1', 'source_level': 90, 'target_conrey_index': 3, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503737250873354, 'target_is_minimal': True, 'target_label': '10.11.c.b.3.1', 'target_level': 10, 'twist_class_label': '10.11.c.b.3.1', 'twist_class_level': 10, 'twisting_char_label': '15.8', 'twisting_conrey_index': 8, 'weight': 11}
  • id: 5290951
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 37, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 412501409882, 'source_is_minimal': False, 'source_label': '90.11.g.a.37.1', 'source_level': 90, 'target_conrey_index': 7, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503737250873394, 'target_is_minimal': False, 'target_label': '50.11.c.b.7.1', 'target_level': 50, 'twist_class_label': '10.11.c.b.3.1', 'twist_class_level': 10, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 11}
  • id: 5290952
    {'conductor': 60, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 37, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 412501409882, 'source_is_minimal': False, 'source_label': '90.11.g.a.37.1', 'source_level': 90, 'target_conrey_index': 33, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 1030976700496, 'target_is_minimal': False, 'target_label': '80.11.p.a.33.1', 'target_level': 80, 'twist_class_label': '10.11.c.b.3.1', 'twist_class_level': 10, 'twisting_char_label': '60.23', 'twisting_conrey_index': 23, 'weight': 11}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 272925
    {'charpoly_factorization': [[[512, 32, 1], 1]], 'hecke_orbit_code': 412501409882, 'p': 2}
  • id: 272926
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 412501409882, 'p': 3}
  • id: 272927
    {'charpoly_factorization': [[[9765625, 5850, 1], 1]], 'hecke_orbit_code': 412501409882, 'p': 5}
  • id: 272928
    {'charpoly_factorization': [[[96688418, -13906, 1], 1]], 'hecke_orbit_code': 412501409882, 'p': 7}
  • id: 272929
    {'charpoly_factorization': [[[75242, 1], 2]], 'hecke_orbit_code': 412501409882, 'p': 11}
  • id: 272930
    {'charpoly_factorization': [[[24137120898, -219714, 1], 1]], 'hecke_orbit_code': 412501409882, 'p': 13}
  • id: 272931
    {'charpoly_factorization': [[[4675235542658, -3057854, 1], 1]], 'hecke_orbit_code': 412501409882, 'p': 17}
  • id: 272932
    {'charpoly_factorization': [[[16310936142400, 0, 1], 1]], 'hecke_orbit_code': 412501409882, 'p': 19}
  • id: 272933
    {'charpoly_factorization': [[[1015093061858, -1424846, 1], 1]], 'hecke_orbit_code': 412501409882, 'p': 23}
  • id: 272934
    {'charpoly_factorization': [[[199023054400, 0, 1], 1]], 'hecke_orbit_code': 412501409882, 'p': 29}
  • id: 272935
    {'charpoly_factorization': [[[29080718, 1], 2]], 'hecke_orbit_code': 412501409882, 'p': 31}
  • id: 272936
    {'charpoly_factorization': [[[1662929902818, 1823694, 1], 1]], 'hecke_orbit_code': 412501409882, 'p': 37}
  • id: 272937
    {'charpoly_factorization': [[[-163945678, 1], 2]], 'hecke_orbit_code': 412501409882, 'p': 41}
  • id: 272938
    {'charpoly_factorization': [[[28047908224783458, -236845554, 1], 1]], 'hecke_orbit_code': 412501409882, 'p': 43}
  • id: 272939
    {'charpoly_factorization': [[[152705830752835938, 552640626, 1], 1]], 'hecke_orbit_code': 412501409882, 'p': 47}
  • id: 272940
    {'charpoly_factorization': [[[190295262882498818, 616920194, 1], 1]], 'hecke_orbit_code': 412501409882, 'p': 53}
  • id: 272941
    {'charpoly_factorization': [[[885270905983489600, 0, 1], 1]], 'hecke_orbit_code': 412501409882, 'p': 59}
  • id: 272942
    {'charpoly_factorization': [[[1353610038, 1], 2]], 'hecke_orbit_code': 412501409882, 'p': 61}
  • id: 272943
    {'charpoly_factorization': [[[1457166607039307138, -1707141826, 1], 1]], 'hecke_orbit_code': 412501409882, 'p': 67}
  • id: 272944
    {'charpoly_factorization': [[[2827014562, 1], 2]], 'hecke_orbit_code': 412501409882, 'p': 71}
  • id: 272945
    {'charpoly_factorization': [[[15161290755831470978, 5506594366, 1], 1]], 'hecke_orbit_code': 412501409882, 'p': 73}
  • id: 272946
    {'charpoly_factorization': [[[11052304505360409600, 0, 1], 1]], 'hecke_orbit_code': 412501409882, 'p': 79}
  • id: 272947
    {'charpoly_factorization': [[[3625257928221550818, 2692678194, 1], 1]], 'hecke_orbit_code': 412501409882, 'p': 83}
  • id: 272948
    {'charpoly_factorization': [[[7115291209668102400, 0, 1], 1]], 'hecke_orbit_code': 412501409882, 'p': 89}
  • id: 272949
    {'charpoly_factorization': [[[554536863681490818, 1053125694, 1], 1]], 'hecke_orbit_code': 412501409882, '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': 7, 'hecke_orbit': 1, 'label': '90.11.g.a', 'level': 90, 'portrait': 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', 'weight': 11}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 9165258
    {'hecke_orbit_code': 412501409882, 'n': 1, 'trace_an': 2}
  • id: 9165259
    {'hecke_orbit_code': 412501409882, 'n': 2, 'trace_an': -32}
  • id: 9165260
    {'hecke_orbit_code': 412501409882, 'n': 3, 'trace_an': 0}
  • id: 9165261
    {'hecke_orbit_code': 412501409882, 'n': 4, 'trace_an': 0}
  • id: 9165262
    {'hecke_orbit_code': 412501409882, 'n': 5, 'trace_an': -5850}
  • id: 9165263
    {'hecke_orbit_code': 412501409882, 'n': 6, 'trace_an': 0}
  • id: 9165264
    {'hecke_orbit_code': 412501409882, 'n': 7, 'trace_an': 13906}
  • id: 9165265
    {'hecke_orbit_code': 412501409882, 'n': 8, 'trace_an': 16384}
  • id: 9165266
    {'hecke_orbit_code': 412501409882, 'n': 9, 'trace_an': 0}
  • id: 9165267
    {'hecke_orbit_code': 412501409882, 'n': 10, 'trace_an': 58400}
  • id: 9165268
    {'hecke_orbit_code': 412501409882, 'n': 11, 'trace_an': -150484}
  • id: 9165269
    {'hecke_orbit_code': 412501409882, 'n': 12, 'trace_an': 0}
  • id: 9165270
    {'hecke_orbit_code': 412501409882, 'n': 13, 'trace_an': 219714}
  • id: 9165271
    {'hecke_orbit_code': 412501409882, 'n': 14, 'trace_an': 0}
  • id: 9165272
    {'hecke_orbit_code': 412501409882, 'n': 15, 'trace_an': 0}
  • id: 9165273
    {'hecke_orbit_code': 412501409882, 'n': 16, 'trace_an': -524288}
  • id: 9165274
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