Embedded newform data - 11.10.a.a.1.3

Formats: - HTML - YAML - JSON - 2026-08-26T12:36:58.624050

• 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': 1100, 'analytic_conductor': 5.665394197802605, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[11, 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': [11, 1, [2], [1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 3, 'field_disc': 2659452, 'field_disc_factorization': [[2, 2], [3, 1], [221621, 1]], 'field_poly': [-836, -306, 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, [6688, -1224, 0, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 167772171, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 6, 'hecke_ring_index_factorization': [[2, 1], [3, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '11.10.a.a', 'level': 11, 'level_is_powerful': False, 'level_is_prime': True, 'level_is_prime_power': True, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [11], 'level_radical': 11, 'minimal_twist': '11.10.a.a', 'nf_label': '3.3.2659452.1', 'prim_orbit_index': 1, 'qexp_display': 'q-\\beta _{1}q^{2}+(-62+4\\beta _{1}-\\beta _{2})q^{3}+(304+\\cdots)q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '9.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '11.10.a', 'trace_display': [0, -186, -1824, -7260], 'trace_hash': 1030065954216192121, 'trace_moments': [0, {'__RealLiteral__': 0, 'data': '2.819', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '20.785', 'prec': 17}, 0, {'__RealLiteral__': 0, 'data': '222.710', 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60357923304096, -27023180986956, 16740973094568, -74882200886856, -4300896588384, 44476465556304, 40297650949380, 12017442891246, -14221322124480, 19685586702744, 19643987589204, 46921245870840, 36618855601152, -10083577546692, 54686701742640, 10241721630888, 24750134255712, 99323801341974, -5507618514480, -25963455042654, -2714339946240, -35704934464848, 10022557009872, 5085947067168, 38636407655808, 119158785355500, 37701750496608, -7679476165080, 11363084071680, 2759284041186, -49601631913032, 5540606609520, -46895066887680, -35707659375102, -68166919704576, 100521061227090, 19867586573472], 'weight': 10, 'weight_parity': 1}
• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
  {'an_normalized': [[1.0, 0.0], [1.4072695723965616, 0.0], [-1.8666368896069445, 0.0], [0.9804076493932015, 0.0], [-1.365388882589652, 0.0], [-2.626861297456813, 0.0], [0.48171338537884334, 0.0], [-0.027571718860672924, 0.0], [2.4843332776414884, 0.0], [-1.9214702289569587, 0.0], [-0.30151134457776363, 0.0], [-1.8300650852101814, 0.0], [-0.9794312617625843, 0.0], [0.677900589859785, 0.0], [2.5486852569010496, 0.0], [-1.019208490404499, 0.0], [0.4105611255192908, 0.0], [3.496126629317086, 0.0], [-0.8647803348277656, 0.0], [-1.3386377048873306, 0.0], [-0.8991839753655956, 0.0], [-0.4243077409566618, 0.0], [0.7608641337600148, 0.0], [0.051466387535203634, 0.0], [0.8642868006994185, 0.0], [-1.3783238129324569, 0.0], [-2.770711252516789, 0.0], [0.47227548784051315, 0.0], [-0.41546852615630486, 0.0], [3.5866872116525608, 0.0], [-0.46622001893209486, 0.0], [-1.4067293776138112, 0.0], [0.5628121984238443, 0.0], [0.5777701795521835, 0.0], [-0.6577261009908973, 0.0], [2.4356593490417993, 0.0], [-1.2306698008413726, 0.0], [-1.2169790520100252, 0.0], [1.8282425240403155, 0.0], [0.03764611840625024, 0.0], [-0.4922088685158856, 0.0], [-1.265394248518582, 0.0], [1.6921905840580285, 0.0], [-0.29560402860286883, 0.0], [-3.3920810379391995, 0.0], [1.0707409441683364, 0.0], [0.905131333858704, 0.0], [1.902492166389643, 0.0], [-0.767952214346854, 0.0], [1.216284516448263, 0.0], [-0.7663685423328553, 0.0], [-0.9602419010868727, 0.0], [-0.0216877477255267, 0.0], [-3.899137639563644, 0.0], [0.4116802378611362, 0.0], [-0.01328166603308846, 0.0], [1.6142308743961524, 0.0], [-0.5846762151482128, 0.0], [1.3729140563385596, 0.0], [2.498750521761466, 0.0], [-0.5873973351064136, 0.0], [-0.656097246685286, 0.0], [1.1967365935819994, 0.0], [-0.9604389593077706, 0.0], [1.337304556071388, 0.0], [0.7920284818154922, 0.0], [0.4558996404674164, 0.0], [0.402517268002595, 0.0], [-1.4202570600552762, 0.0], [-0.9255979288955178, 0.0], [-0.42056740687321004, 0.0], [-0.06849733868734521, 0.0], [-0.6240641196007441, 0.0], [-1.7318841643914, 0.0], [-1.6133096253858998, 0.0], [-0.8478372553099554, 0.0], [-0.1452420505266815, 0.0], [2.5728300750434254, 0.0], [-1.5683052207917096, 0.0], [1.3916159418392848, 0.0], [2.6875785567554127, 0.0], [-0.6926705639261457, 0.0], [0.9964926986858178, 0.0], [-0.8815668476602179, 0.0], [-0.5605755964075343, 0.0], [2.3813683196408295, 0.0], [0.7755288773939863, 0.0], [0.008313186026001578, 0.0], [-0.9714814244631644, 0.0], [-4.773572431795182, 0.0], [-0.47180514884952657, 0.0], [0.7459570168872506, 0.0], [0.8702634860118964, 0.0], [1.2737637851620678, 0.0], [1.180761455055988, 0.0], [2.6258529499477574, 0.0], [-0.2926878500494597, 0.0], [-1.0807157843048898, 0.0], [-0.7490546669209678, 0.0], [0.8473533906752873, 0.0]], 'angles': [-0.1257795673303408, -0.441550428432901, -0.369595990805824, -0.21128580954845072, None, -0.3314497014809024, -0.21709465718157853, -0.3211648390981427, -0.18788764322684642, -0.2833044645229684, -0.2874451123494046, -0.35548960772452787, -0.2895753104101317, -0.08947367238417235, -0.17525440551221996, -0.2517258899531024, -0.1295824939905856, -0.29744311161595405, -0.21339889143934132, -0.28371938473246694, -0.3005048183408697, -0.3934510357522207, -0.1669887581443251, -0.33072503683681215, -0.27337530738766547, -0.28275489678025056, -0.35469632672439483, -0.3056760180038063, -0.2117652403196196, -0.35414072626973636, -0.19829589786547328, -0.35908843820318515, -0.2110235094855622, -0.04309584070801067, -0.16934157166135946, -0.3895000569534325, -0.2919189080224392, -0.32313270082797246, -0.17888475657446654, -0.0839732884195367, -0.2963450465841967, -0.3684459286534897, -0.14151014391565406, -0.2040613691191467, -0.24339329421534678, -0.21937795666499912, -0.261821310708385, -0.2534886140245921, -0.31371227199139506, -0.2743514207187003, -0.3100265825148779, -0.18886480112819054, -0.3825686465399474, -0.12739257775858817, -0.08503111770654151, -0.33441628753697783, -0.23796112409994682, -0.20857105670525636, -0.2270006732934916, -0.38551014700409036, -0.22565690320135032, -0.1343595835413317, -0.2240499798843128, -0.35472917680861377, -0.1282005096903484, -0.3920418398709824, -0.27294462408022024, -0.14366596428485853, -0.28053874516958627, -0.45033604781293246, -0.1520564327438866, -0.4483673551654213, -0.4594425220781438, -0.17192764314198675, -0.20585406549530053, -0.23557553952173696, -0.2282399976695888, -0.24859000362252381, -0.35670261037938666, -0.3648266962134009, -0.18242963850558652, -0.35212788786029914, -0.2511489892834803, -0.2746637205870574, -0.26464294093903, -0.30098326086250926, -0.12906021635911463, -0.08102468272456098, -0.19577451784202793, -0.1770473189463112, -0.28107350046846274, -0.21197918745486993, -0.1928833314130838, -0.30101382145764377, -0.3140133968107037, -0.3037509839199693, -0.3652799772198381, -0.19344059071847916, -0.40423874598213955, -0.3247520633186109], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 3, 'dual_embedding_m': 3, 'embedding_index': 3, 'embedding_m': 3, 'embedding_root_imag': 0.0, 'embedding_root_real': -15.92143772158563, 'hecke_orbit': 1, 'hecke_orbit_code': 167772171, 'label': '11.10.a.a.1.3', 'level': 11, 'weight': 10}
• 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, 5], 'ALdims_eis_new': [0, 0], 'ALdims_eis_old': [1, 1], 'ALdims_old': [0, 0], 'Nk2': 1100, 'analytic_conductor': 5.665394197802605, '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': [11, 1, [2], [1]], 'conrey_index': 1, 'cusp_dim': 8, 'dim': 8, 'eis_dim': 2, 'eis_new_dim': 0, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 167772171, 'hecke_orbit_dims': [3, 5], 'label': '11.10.a', 'level': 11, 'level_is_powerful': False, 'level_is_prime': True, 'level_is_prime_power': True, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [11], 'level_radical': 11, 'mf_dim': 10, 'mf_new_dim': 8, 'num_forms': 2, 'plus_dim': 3, 'prim_orbit_index': 1, 'relative_dim': 8, 'sturm_bound': 10, 'trace_bound': 1, 'trace_display': [16, -74, -230, 1140], 'traces': [8, 16, -74, 1620, -230, -578, 1140, 20652, 89342, -83738, 29282, 39248, 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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: 439741
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 167772171, 'source_is_minimal': True, 'source_label': '11.10.a.a.1.3', 'source_level': 11, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 167772171, 'target_is_minimal': True, 'target_label': '11.10.a.a.1.3', 'target_level': 11, 'twist_class_label': '11.10.a.a.1.3', 'twist_class_level': 11, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 10}
  • id: 439742
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 167772171, 'source_is_minimal': True, 'source_label': '11.10.a.a.1.3', 'source_level': 11, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599795142755, 'target_is_minimal': False, 'target_label': '99.10.a.b.1.1', 'target_level': 99, 'twist_class_label': '11.10.a.a.1.3', 'twist_class_level': 11, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 10}
  • id: 439743
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 167772171, 'source_is_minimal': True, 'source_label': '11.10.a.a.1.3', 'source_level': 11, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 27021597931995312, 'target_is_minimal': False, 'target_label': '176.10.a.g.1.3', 'target_level': 176, 'twist_class_label': '11.10.a.a.1.3', 'twist_class_level': 11, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 10}
  • id: 439744
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 167772171, 'source_is_minimal': True, 'source_label': '11.10.a.a.1.3', 'source_level': 11, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 167772435, 'target_is_minimal': False, 'target_label': '275.10.a.a.1.1', 'target_level': 275, 'twist_class_label': '11.10.a.a.1.3', 'twist_class_level': 11, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 10}
  • id: 439745
    {'conductor': 11, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 167772171, 'source_is_minimal': True, 'source_label': '11.10.a.a.1.3', 'source_level': 11, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599795142777, 'target_is_minimal': False, 'target_label': '121.10.a.b.1.1', 'target_level': 121, 'twist_class_label': '11.10.a.a.1.3', 'twist_class_level': 11, 'twisting_char_label': '11.10', 'twisting_conrey_index': 10, 'weight': 10}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 50325
    {'charpoly_factorization': [[[6688, -1224, 0, 1], 1]], 'hecke_orbit_code': 167772171, 'p': 2}
  • id: 50326
    {'charpoly_factorization': [[[96660, -19503, 186, 1], 1]], 'hecke_orbit_code': 167772171, 'p': 3}
  • id: 50327
    {'charpoly_factorization': [[[-620517350, -485835, 1824, 1], 1]], 'hecke_orbit_code': 167772171, 'p': 5}
  • id: 50328
    {'charpoly_factorization': [[[-75027235360, -7061772, 7260, 1], 1]], 'hecke_orbit_code': 167772171, 'p': 7}
  • id: 50329
    {'charpoly_factorization': [[[14641, 1], 3]], 'hecke_orbit_code': 167772171, 'p': 11}
  • id: 50330
    {'charpoly_factorization': [[[-73087940648800, -1491387120, 93258, 1], 1]], 'hecke_orbit_code': 167772171, 'p': 13}
  • id: 50331
    {'charpoly_factorization': [[[13249577549212312, -111062378340, -18678, 1], 1]], 'hecke_orbit_code': 167772171, 'p': 17}
  • id: 50332
    {'charpoly_factorization': [[[-209633944389192576, -163379431296, 1027356, 1], 1]], 'hecke_orbit_code': 167772171, 'p': 19}
  • id: 50333
    {'charpoly_factorization': [[[4429781456247752432, -3670735103199, -1674690, 1], 1]], 'hecke_orbit_code': 167772171, 'p': 23}
  • id: 50334
    {'charpoly_factorization': [[[-6112981958404375296, -2104561043808, 2693658, 1], 1]], 'hecke_orbit_code': 167772171, 'p': 29}
  • id: 50335
    {'charpoly_factorization': [[[149290686454121336, 5163739973409, 4525302, 1], 1]], 'hecke_orbit_code': 167772171, 'p': 31}
  • id: 50336
    {'charpoly_factorization': [[[95184499623344797626, -66303750572763, 8820204, 1], 1]], 'hecke_orbit_code': 167772171, 'p': 37}
  • id: 50337
    {'charpoly_factorization': [[[-53242092835919611712, 1727262853488, 9771102, 1], 1]], 'hecke_orbit_code': 167772171, 'p': 41}
  • id: 50338
    {'charpoly_factorization': [[[12555098895426106467888, -1057083933577452, -18795744, 1], 1]], 'hecke_orbit_code': 167772171, 'p': 43}
  • id: 50339
    {'charpoly_factorization': [[[2763747837268670594048, -1951525370158848, 31155816, 1], 1]], 'hecke_orbit_code': 167772171, 'p': 47}
  • id: 50340
    {'charpoly_factorization': [[[-3401962549204703535576, -2791426688283876, -47500122, 1], 1]], 'hecke_orbit_code': 167772171, 'p': 53}
  • id: 50341
    {'charpoly_factorization': [[[-1143323895827050260581188, 35060537132332041, -332138370, 1], 1]], 'hecke_orbit_code': 167772171, 'p': 59}
  • id: 50342
    {'charpoly_factorization': [[[-997276281812184051295200, -16620346249490688, 49031730, 1], 1]], 'hecke_orbit_code': 167772171, 'p': 61}
  • id: 50343
    {'charpoly_factorization': [[[922826695865453876601316, 6930734409325233, -330560082, 1], 1]], 'hecke_orbit_code': 167772171, 'p': 67}
  • id: 50344
    {'charpoly_factorization': [[[-2449633800423651254493984, -30103457482116951, 57835050, 1], 1]], 'hecke_orbit_code': 167772171, 'p': 71}
  • id: 50345
    {'charpoly_factorization': [[[-6680140731364076691925408, 2429221851665232, 458816886, 1], 1]], 'hecke_orbit_code': 167772171, 'p': 73}
  • id: 50346
    {'charpoly_factorization': [[[-107415725171213988460509248, -58865139963542652, 798908748, 1], 1]], 'hecke_orbit_code': 167772171, 'p': 79}
  • id: 50347
    {'charpoly_factorization': [[[-48760594099748684733097584, 461702562455497428, -1239784920, 1], 1]], 'hecke_orbit_code': 167772171, 'p': 83}
  • id: 50348
    {'charpoly_factorization': [[[-399313176119580944407688730, -622835019975559731, 699523368, 1], 1]], 'hecke_orbit_code': 167772171, 'p': 89}
  • id: 50349
    {'charpoly_factorization': [[[242961895555810506911600350, 1450259465150631669, 2207436012, 1], 1]], 'hecke_orbit_code': 167772171, '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': '11.10.a.a', 'level': 11, 'portrait': 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', 'weight': 10}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  Showing the first 100 of 258 matching records in this table.
  • id: 3668244
    {'hecke_orbit_code': 167772171, 'n': 1, 'trace_an': 3}
  • id: 3668245
    {'hecke_orbit_code': 167772171, 'n': 2, 'trace_an': 0}
  • id: 3668246
    {'hecke_orbit_code': 167772171, 'n': 3, 'trace_an': -186}
  • id: 3668247
    {'hecke_orbit_code': 167772171, 'n': 4, 'trace_an': 912}
  • id: 3668248
    {'hecke_orbit_code': 167772171, 'n': 5, 'trace_an': -1824}
  • id: 3668249
    {'hecke_orbit_code': 167772171, 'n': 6, 'trace_an': -10956}
  • id: 3668250
    {'hecke_orbit_code': 167772171, 'n': 7, 'trace_an': -7260}
  • id: 3668251
    {'hecke_orbit_code': 167772171, 'n': 8, 'trace_an': -20064}
  • id: 3668252
    {'hecke_orbit_code': 167772171, 'n': 9, 'trace_an': 14553}
  • id: 3668253
    {'hecke_orbit_code': 167772171, 'n': 10, 'trace_an': -86724}
  • id: 3668254
    {'hecke_orbit_code': 167772171, 'n': 11, 'trace_an': -43923}
  • id: 3668255
    {'hecke_orbit_code': 167772171, 'n': 12, 'trace_an': -71040}
  • id: 3668256
    {'hecke_orbit_code': 167772171, 'n': 13, 'trace_an': -93258}
  • id: 3668257
    {'hecke_orbit_code': 167772171, 'n': 14, 'trace_an': 324264}
  • id: 3668258
    {'hecke_orbit_code': 167772171, 'n': 15, 'trace_an': 540330}
  • id: 3668259
    {'hecke_orbit_code': 167772171, 'n': 16, 'trace_an': 22656}
  • id: 3668260
    {'hecke_orbit_code': 167772171, 'n': 17, 'trace_an': 18678}
  • id: 3668261
    {'hecke_orbit_code': 167772171, 'n': 18, 'trace_an': 1997028}
  • id: 3668262
    {'hecke_orbit_code': 167772171, 'n': 19, 'trace_an': -1027356}
  • id: 3668263
    {'hecke_orbit_code': 167772171, 'n': 20, 'trace_an': -156576}
  • id: 3668264
    {'hecke_orbit_code': 167772171, 'n': 21, 'trace_an': -1287924}
  • id: 3668265
    {'hecke_orbit_code': 167772171, 'n': 22, 'trace_an': 0}
  • id: 3668266
    {'hecke_orbit_code': 167772171, 'n': 23, 'trace_an': 1674690}
  • id: 3668267
    {'hecke_orbit_code': 167772171, 'n': 24, 'trace_an': -947232}
  • id: 3668268
    {'hecke_orbit_code': 167772171, 'n': 25, 'trace_an': -1560729}
  • id: 3668269
    {'hecke_orbit_code': 167772171, 'n': 26, 'trace_an': -2162088}
  • id: 3668270
    {'hecke_orbit_code': 167772171, 'n': 27, 'trace_an': -10285434}
  • id: 3668271
    {'hecke_orbit_code': 167772171, 'n': 28, 'trace_an': -2570304}
  • id: 3668272
    {'hecke_orbit_code': 167772171, 'n': 29, 'trace_an': -2693658}
  • id: 3668273
    {'hecke_orbit_code': 167772171, 'n': 30, 'trace_an': 14272500}
  • id: 3668274
    {'hecke_orbit_code': 167772171, 'n': 31, 'trace_an': -4525302}
  • id: 3668275
    {'hecke_orbit_code': 167772171, 'n': 32, 'trace_an': 160512}
  • id: 3668276
    {'hecke_orbit_code': 167772171, 'n': 33, 'trace_an': 2723226}
  • id: 3668277
    {'hecke_orbit_code': 167772171, 'n': 34, 'trace_an': 19899408}
  • id: 3668278
    {'hecke_orbit_code': 167772171, 'n': 35, 'trace_an': -7933860}
  • id: 3668279
    {'hecke_orbit_code': 167772171, 'n': 36, 'trace_an': 20908368}
  • id: 3668280
    {'hecke_orbit_code': 167772171, 'n': 37, 'trace_an': -8820204}
  • id: 3668281
    {'hecke_orbit_code': 167772171, 'n': 38, 'trace_an': 23297712}
  • id: 3668282
    {'hecke_orbit_code': 167772171, 'n': 39, 'trace_an': 24922920}
  • id: 3668283
    {'hecke_orbit_code': 167772171, 'n': 40, 'trace_an': -5145888}
  • id: 3668284
    {'hecke_orbit_code': 167772171, 'n': 41, 'trace_an': -9771102}
  • id: 3668285
    {'hecke_orbit_code': 167772171, 'n': 42, 'trace_an': -8130360}
  • id: 3668286
    {'hecke_orbit_code': 167772171, 'n': 43, 'trace_an': 18795744}
  • id: 3668287
    {'hecke_orbit_code': 167772171, 'n': 44, 'trace_an': -13352592}
  • id: 3668288
    {'hecke_orbit_code': 167772171, 'n': 45, 'trace_an': -91915398}
  • id: 3668289
    {'hecke_orbit_code': 167772171, 'n': 46, 'trace_an': -68671020}
  • id: 3668290
    {'hecke_orbit_code': 167772171, 'n': 47, 'trace_an': -31155816}
  • id: 3668291
    {'hecke_orbit_code': 167772171, 'n': 48, 'trace_an': 76391808}
  • id: 3668292
    {'hecke_orbit_code': 167772171, 'n': 49, 'trace_an': -54229677}
  • id: 3668293
    {'hecke_orbit_code': 167772171, 'n': 50, 'trace_an': 103405236}
  • id: 3668294
    {'hecke_orbit_code': 167772171, 'n': 51, 'trace_an': -62110884}
  • id: 3668295
    {'hecke_orbit_code': 167772171, 'n': 52, 'trace_an': -86345952}
  • id: 3668296
    {'hecke_orbit_code': 167772171, 'n': 53, 'trace_an': 47500122}
  • id: 3668297
    {'hecke_orbit_code': 167772171, 'n': 54, 'trace_an': -153828180}
  • id: 3668298
    {'hecke_orbit_code': 167772171, 'n': 55, 'trace_an': 26705184}
  • id: 3668299
    {'hecke_orbit_code': 167772171, 'n': 56, 'trace_an': 113407680}
  • id: 3668300
    {'hecke_orbit_code': 167772171, 'n': 57, 'trace_an': 62103096}
  • id: 3668301
    {'hecke_orbit_code': 167772171, 'n': 58, 'trace_an': -120644760}
  • id: 3668302
    {'hecke_orbit_code': 167772171, 'n': 59, 'trace_an': 332138370}
  • id: 3668303
    {'hecke_orbit_code': 167772171, 'n': 60, 'trace_an': 290804160}
  • id: 3668304
    {'hecke_orbit_code': 167772171, 'n': 61, 'trace_an': -49031730}
  • id: 3668305
    {'hecke_orbit_code': 167772171, 'n': 62, 'trace_an': -86992620}
  • id: 3668306
    {'hecke_orbit_code': 167772171, 'n': 63, 'trace_an': 319652784}
  • id: 3668307
    {'hecke_orbit_code': 167772171, 'n': 64, 'trace_an': -421220352}
  • id: 3668308
    {'hecke_orbit_code': 167772171, 'n': 65, 'trace_an': 161689572}
  • id: 3668309
    {'hecke_orbit_code': 167772171, 'n': 66, 'trace_an': 160406796}
  • id: 3668310
    {'hecke_orbit_code': 167772171, 'n': 67, 'trace_an': 330560082}
  • id: 3668311
    {'hecke_orbit_code': 167772171, 'n': 68, 'trace_an': -382273056}
  • id: 3668312
    {'hecke_orbit_code': 167772171, 'n': 69, 'trace_an': -104664822}
  • id: 3668313
    {'hecke_orbit_code': 167772171, 'n': 70, 'trace_an': -22907160}
  • id: 3668314
    {'hecke_orbit_code': 167772171, 'n': 71, 'trace_an': -57835050}
  • id: 3668315
    {'hecke_orbit_code': 167772171, 'n': 72, 'trace_an': 302075136}
  • id: 3668316
    {'hecke_orbit_code': 167772171, 'n': 73, 'trace_an': -458816886}
  • id: 3668317
    {'hecke_orbit_code': 167772171, 'n': 74, 'trace_an': -528939708}
  • id: 3668318
    {'hecke_orbit_code': 167772171, 'n': 75, 'trace_an': -562184580}
  • id: 3668319
    {'hecke_orbit_code': 167772171, 'n': 76, 'trace_an': -1324671744}
  • id: 3668320
    {'hecke_orbit_code': 167772171, 'n': 77, 'trace_an': 106293660}
  • id: 3668321
    {'hecke_orbit_code': 167772171, 'n': 78, 'trace_an': 903869520}
  • id: 3668322
    {'hecke_orbit_code': 167772171, 'n': 79, 'trace_an': -798908748}
  • id: 3668323
    {'hecke_orbit_code': 167772171, 'n': 80, 'trace_an': 442084224}
  • id: 3668324
    {'hecke_orbit_code': 167772171, 'n': 81, 'trace_an': 1544572395}
  • id: 3668325
    {'hecke_orbit_code': 167772171, 'n': 82, 'trace_an': -376730664}
  • id: 3668326
    {'hecke_orbit_code': 167772171, 'n': 83, 'trace_an': 1239784920}
  • id: 3668327
    {'hecke_orbit_code': 167772171, 'n': 84, 'trace_an': -809016384}
  • id: 3668328
    {'hecke_orbit_code': 167772171, 'n': 85, 'trace_an': -632001744}
  • id: 3668329
    {'hecke_orbit_code': 167772171, 'n': 86, 'trace_an': 627638088}
  • id: 3668330
    {'hecke_orbit_code': 167772171, 'n': 87, 'trace_an': 505901880}
  • id: 3668331
    {'hecke_orbit_code': 167772171, 'n': 88, 'trace_an': 293757024}
  • id: 3668332
    {'hecke_orbit_code': 167772171, 'n': 89, 'trace_an': -699523368}
  • id: 3668333
    {'hecke_orbit_code': 167772171, 'n': 90, 'trace_an': -2575080288}
  • id: 3668334
    {'hecke_orbit_code': 167772171, 'n': 91, 'trace_an': -268926960}
  • id: 3668335
    {'hecke_orbit_code': 167772171, 'n': 92, 'trace_an': 3537302976}
  • id: 3668336
    {'hecke_orbit_code': 167772171, 'n': 93, 'trace_an': 614745786}
  • id: 3668337
    {'hecke_orbit_code': 167772171, 'n': 94, 'trace_an': 3327514080}
  • id: 3668338
    {'hecke_orbit_code': 167772171, 'n': 95, 'trace_an': 107303856}
  • id: 3668339
    {'hecke_orbit_code': 167772171, 'n': 96, 'trace_an': 2520807168}
  • id: 3668340
    {'hecke_orbit_code': 167772171, 'n': 97, 'trace_an': -2207436012}
  • id: 3668341
    {'hecke_orbit_code': 167772171, 'n': 98, 'trace_an': -1261919472}
  • id: 3668342
    {'hecke_orbit_code': 167772171, 'n': 99, 'trace_an': -213070473}
  • id: 3668343
    {'hecke_orbit_code': 167772171, 'n': 100, 'trace_an': 247306224}