Embedded newform data - 324.2.b.c.323.8

Formats: - HTML - YAML - JSON - 2026-06-25T00:53:35.404523

• 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': 1296, 'analytic_conductor': 2.5871530254894846, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 12, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': 1, 'char_values': [324, 2, [163, 245], [1, 1]], 'cm_discs': [], 'conrey_index': 323, 'dim': 8, 'field_disc': 5780865024, 'field_disc_factorization': [[2, 16], [3, 6], [11, 2]], 'field_poly': [16, 0, -16, 0, 9, 0, -4, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [1, 0, 4, 0, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007268007772484, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0], [1, 1, 4, 2, -1, 2, 0], [1, 1, 12, 2, 1, 2, 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': True, 'label': '324.2.b.c', 'level': 324, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2, 3], 'level_radical': 6, 'minimal_twist': '324.2.b.c', 'nf_label': '8.0.5780865024.3', 'prim_orbit_index': 2, 'qexp_display': 'q-\\beta _{1}q^{2}+(1+\\beta _{2})q^{4}+(\\beta _{3}+\\beta _{5})q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 8, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '324.2.b', 'trace_display': [0, 0, 0, 0], 'trace_hash': 1268193505242126490, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.025', 'prec': 17}, {'__RealLiteral__': 0, 'data': '6.754', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.039', 'prec': 17}, {'__RealLiteral__': 0, 'data': '484.404', 'prec': 24}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '50832.982', 'prec': 30}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.759', 'prec': 17}, 'traces': [8, 0, 0, 8, 0, 0, 0, 0, 0, 4, 0, 0, -8, 0, 0, -4, 0, 0, 0, 0, 0, 12, 0, 0, 24, 0, 0, -12, 0, 0, 0, 0, 0, 4, 0, 0, 16, 0, 0, 16, 0, 0, 0, 0, 0, -36, 0, 0, -40, 0, 0, 16, 0, 0, 0, 0, 0, 16, 0, 0, -32, 0, 0, 8, 0, 0, 0, 0, 0, -36, 0, 0, -32, 0, 0, -60, 0, 0, 0, 0, 0, 28, 0, 0, 32, 0, 0, -60, 0, 0, 0, 0, 0, -48, 0, 0, -32, 0, 0, 12, 0, 0, 0, 0, 0, 28, 0, 0, -8, 0, 0, 36, 0, 0, 0, 0, 0, 48, 0, 0, 56, 0, 0, 72, 0, 0, 0, 0, 0, -4, 0, 0, 48, 0, 0, -8, 0, 0, 0, 0, 0, 60, 0, 0, 8, 0, 0, 28, 0, 0, 0, 0, 0, -72, 0, 0, 16, 0, 0, 28, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, -56, 0, 0, -80, 0, 0, -84, 0, 0, 0, 0, 0, 84, 0, 0, 88, 0, 0, -64, 0, 0, 0, 0, 0, -20, 0, 0, 8, 0, 0, 100, 0, 0, 0, 0, 0, 24, 0, 0, 48, 0, 0, 12, 0, 0, 0, 0, 0, 52, 0, 0, -56, 0, 0, 28, 0, 0, 0, 0, 0, 132, 0, 0, -32, 0, 0, -44, 0, 0, 0, 0, 0, 32, 0, 0, 96, 0, 0, 68, 0, 0, 0, 0, 0, -156, 0, 0, -88, 0, 0, 12, 0, 0, 0, 0, 0, -32, 0, 0, -32, 0, 0, -84, 0, 0, 0, 0, 0, -132, 0, 0, 24, 0, 0, -92, 0, 0, 0, 0, 0, -32, 0, 0, -96, 0, 0, -84, 0, 0, 0, 0, 0, -48, 0, 0, -8, 0, 0, 84, 0, 0, 0, 0, 0, -48, 0, 0, -72, 0, 0, 52, 0, 0, 0, 0, 0, 12, 0, 0, -80, 0, 0, 68, 0, 0, 0, 0, 0, 64, 0, 0, 64, 0, 0, -132, 0, 0, 0, 0, 0, 168, 0, 0, -136, 0, 0, 132, 0, 0, 0, 0, 0, 8, 0, 0, 64, 0, 0, -24, 0, 0, 0, 0, 0, -12, 0, 0, 96, 0, 0, -56, 0, 0, 0, 0, 0, -8, 0, 0, 112, 0, 0, -60, 0, 0, 0, 0, 0, 108, 0, 0, -32, 0, 0, -144, 0, 0, 0, 0, 0, -96, 0, 0, 40, 0, 0, 100, 0, 0, 0, 0, 0, -36, 0, 0, 136, 0, 0, 40, 0, 0, 0, 0, 0, -52, 0, 0, 56, 0, 0, 204, 0, 0, 0, 0, 0, 180, 0, 0, -128, 0, 0, -36, 0, 0, 0, 0, 0, 16, 0, 0, 96, 0, 0, 24, 0, 0, 0, 0, 0, -96, 0, 0, 32, 0, 0, -40, 0, 0, 0, 0, 0, -20, 0, 0, -88, 0, 0, 48, 0, 0, 0, 0, 0, -108, 0, 0, 56, 0, 0, -36, 0, 0, 0, 0, 0, 112, 0, 0, -48, 0, 0, 8, 0, 0, 0, 0, 0, -168, 0, 0, 56, 0, 0, 192, 0, 0, 0, 0, 0, 28, 0, 0, -248, 0, 0, -116, 0, 0, 0, 0, 0, 96, 0, 0, 144, 0, 0, -24, 0, 0, 0, 0, 0, 148, 0, 0, -64, 0, 0, -36, 0, 0, 0, 0, 0, 168, 0, 0, -200, 0, 0, 32, 0, 0, 0, 0, 0, -68, 0, 0, 240, 0, 0, 40, 0, 0, 0, 0, 0, -132, 0, 0, 280, 0, 0, -96, 0, 0, 0, 0, 0, -16, 0, 0, 64, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 4, 0, 0, 0, 0, 0, 52, 0, 0, -56, 0, 0, 64, 0, 0, 0, 0, 0, -132, 0, 0, 48, 0, 0, 24, 0, 0, 0, 0, 0, 24, 0, 0, -80, 0, 0, 120, 0, 0, 0, 0, 0, 36, 0, 0, -152, 0, 0, -48, 0, 0, 0, 0, 0, 168, 0, 0, -88, 0, 0, 36, 0, 0, 0, 0, 0, -132, 0, 0, -136, 0, 0, -96, 0, 0, 0, 0, 0, -92, 0, 0, -248, 0, 0, -140, 0, 0, 0, 0, 0, -84, 0, 0, -96, 0, 0, -8, 0, 0, 0, 0, 0, -16, 0, 0, -176, 0, 0, -132, 0, 0, 0, 0, 0, -168, 0, 0, -88, 0, 0, 132, 0, 0, 0, 0, 0, -88, 0, 0, 64, 0, 0, 108, 0, 0, 0, 0, 0, 60, 0, 0, 40, 0, 0, 112, 0, 0, 0, 0, 0, 4, 0, 0, 192, 0, 0, -76, 0, 0, 0, 0, 0, -12, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 240, 0, 0, -68, 0, 0, 0, 0, 0, -36, 0, 0, 48, 0, 0, 44, 0, 0, 0, 0, 0, -24, 0, 0, 64, 0, 0, 64, 0, 0, 0, 0, 0, 96, 0, 0, 120, 0, 0, -84, 0, 0, 0, 0, 0, 36, 0, 0, 304, 0, 0, 144, 0, 0, 0, 0, 0, 120, 0, 0, 104, 0, 0, -72, 0, 0, 0, 0, 0, 24, 0, 0, -128, 0, 0, -36, 0, 0, 0, 0, 0, 240, 0, 0, -288, 0, 0, -108, 0, 0, 0, 0, 0, 28, 0, 0, 152, 0, 0, 136, 0, 0, 0, 0, 0, -132, 0, 0, -288, 0, 0, 40, 0, 0, 0, 0, 0, 76, 0, 0, 24, 0, 0, -104, 0, 0, 0, 0, 0, -72, 0, 0, 232, 0, 0, -48, 0, 0, 0, 0, 0, -72, 0, 0, -208, 0, 0, 132, 0, 0, 0, 0, 0, 180, 0, 0, -40, 0, 0, -116, 0, 0, 0, 0, 0, -16, 0, 0, -192, 0, 0, -32, 0, 0, 0, 0, 0, -156, 0, 0, 8, 0, 0, 132, 0, 0, 0, 0, 0, -96, 0, 0, 208, 0, 0, 116], 'weight': 2, '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], [0.9831105486902831, 0.18301270189221933], [0.0, 0.0], [0.9330127018922193, 0.3598434355491019], [0.0, -0.8639503235220041], [0.0, 0.0], [0.0, -1.4863234417821405], [0.8513987098942435, 0.524519052838329], [0.0, 0.0], [0.15811388300841897, -0.8493586765988651], [-0.6137510258794597, 0.0], [0.0, 0.0], [0.6834188247179083, 0.0], [0.27201606896629227, -1.4612202543816704], [0.0, 0.0], [0.7410254037844386, 0.6714769921196926], [0.0, 1.1545371886055464], [0.0, 0.0], [0.0, 1.5625940787746992], [0.31088685255991605, -0.806076625649922], [0.0, 0.0], [-0.6033851078115798, -0.11232423353532135], [-1.5840620996981427, 0.0], [0.0, 0.0], [0.2535898384862245, 0.0], [0.6718762557536913, 0.12507432563562942], [0.0, 0.0], [0.534843733628051, -1.3867586503028977], [0.0, 0.42910275122494174], [0.0, 0.0], [0.0, -0.5170383113931901], [0.6056210727216728, 0.7957531754730548], [0.0, 0.0], [-0.21129497032174788, 1.1350376889733358], [-1.2841096183860188, 0.0], [0.0, 0.0], [0.6135453733364643, 0.0], [-0.2859745643173411, 1.5362027221643821], [0.0, 0.0], [0.45315840539312946, -0.7355661908593486], [0.0, 0.5009061807607694], [0.0, 0.0], [0.0, -0.5996918126166828], [-0.5726375029449161, -0.22085427772425056], [0.0, 0.0], [-1.557308159993723, -0.2899034848308192], [-0.8112008858722385, 0.0], [0.0, 0.0], [-1.2091573735911079, 0.0], [0.2493068452564725, 0.04641016151377546], [0.0, 0.0], [0.6376384441740606, 0.2459237778054216], [0.0, -1.3979042223085854], [0.0, 0.0], [0.0, 0.5302503973705212], [0.7796049638949735, -1.2654538608188861], [0.0, 0.0], [-0.07853125389106141, 0.42185544120126256], [0.7240212941698948, 0.0], [0.0, 0.0], [-0.7339139010179557, 0.0], [0.09462457834985837, -0.5083058180076566], [0.0, 0.0], [0.4497595264191645, 0.8931496898030077], [0.0, -0.5904399147160646], [0.0, 0.0], [0.0, 0.480424277897257], [-0.4154526284170213, 1.0771978617759077], [0.0, 0.0], [-1.262421711509949, -0.23500837078661196], [0.41842731406997813, 0.0], [0.0, 0.0], [-1.4817706563837512, 0.0], [0.603182928627196, 0.11228659650777675], [0.0, 0.0], [-0.5622892216749718, 1.4579201233983654], [0.0, 0.9122325371824781], [0.0, 0.0], [0.0, 0.11854991699051448], [0.5801227645793905, -0.6402091373375894], [0.0, 0.0], [-0.09167219353554082, 0.49244615021007415], [0.4468682746774534, 0.0], [0.0, 0.0], [0.9974627776139469, 0.0], [0.10975121892962163, -0.5895633469466576], [0.0, 0.0], [-0.5225468316300405, -0.32192410677284694], [0.0, 0.38408669475951945], [0.0, 0.0], [0.0, -1.0157814197334267], [-1.4779500596044262, -0.5700143480785037], [0.0, 0.0], [-0.7975001480079001, -0.1484600659008402], [1.3500036598909693, 0.0], [0.0, 0.0], [-0.7578646951097772, 0.0], [-1.1887353690040556, -0.22129115795380827], [0.0, 0.0], [0.23660254037844386, 0.09125263870122491]], 'angles': [None, None, -0.4289084046601012, -0.3666626479799092, -0.2996417636058749, -0.19449706951933196, 0.09794071815862593, 0.14272079162335957, -0.3954881205916832, 0.03441446899221886, -0.4583827438529509, -0.20037543106729774, 0.040289792643199394, -0.45153236628417054, -0.31646877626703046, -0.3768250220113437, -0.19104519946045231, -0.3098001847379625, 0.03860850363497168, -0.21645479297650116, -0.38279690735882327, 0.009439435767602863, -0.21413661978185256, 0.03075571025053542, -0.31185434855466143, 0.0508502038042246, 0.0457729283744687, -0.17291867711687128, -0.2041842449031347, -0.4619257039506215, -0.41232762408354884, -0.3605155296854747, -0.39229762862445344, -0.44587747684095824, -0.3974865649085831, 0.16934098267559652, -0.24829822931644546, -0.3700471629581792, -0.17545333229070345, 0.13093252651523027, -0.028960062797069117, -0.24767945546039719, -0.319359686541223, -0.16285891791453977, 0.0029349983734520122, 0.0, -0.4942262367432772, -0.45173749236874844, -0.1008710982182885, -0.21362896500091116, -0.4409234500904663, -0.3085658435633563, -0.33690932022440406, -0.37776124496985614, -0.48058836466632265, -0.3135669839680032, -0.34690847736210606, 0.0851331612178523, -0.2359811237545062, -0.3079824906384508, 0.009975302984546451, 0.06081350187123578, 0.18580725048720154, -0.3135086942139336, -0.3366185098012691, 0.06939366612468434, 0.06607453117765644, -0.26333139645387815, -0.2714928202317107, -0.27504973838480007, 0.09443202961682526, -0.3064391517036942, -0.39030469353890657, -0.13622409299084773, 0.03559774535098836, -0.2918667948642363, -0.4786409317539012, -0.2286093607906336, -0.397845346602342, -0.31526041770410734, -0.14630226859864925, -0.1740138610975516, -0.22283931205701155, -0.09568065092934498, -0.4012402289409155, -0.13515841877243662, 0.1250490717480893, -0.3180628898081342, -0.42299823759369415, 0.054278113480119884, -0.20440379145956464, -0.15641463899352318, -0.4819815264639627, -0.30361468015542326, 0.12292802915307394, -0.13858765209759738, 0.003293732381588091, 0.015784321936524962, -0.44020189259302456, -0.45732324576723415], 'char_orbit_index': 2, 'conrey_index': 323, 'dual_conrey_index': 323, 'dual_embedding_index': 7, 'dual_embedding_m': 7, 'embedding_index': 8, 'embedding_m': 8, 'embedding_root_imag': -0.25881904510252074, 'embedding_root_real': -1.3903282712698535, 'hecke_orbit': 3, 'hecke_orbit_code': 9007268007772484, 'label': '324.2.b.c.323.8', 'level': 324, 'weight': 2}
• 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': 1296, 'analytic_conductor': 2.5871530254894846, 'char_conductor': 12, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': 1, 'char_values': [324, 2, [163, 245], [1, 1]], 'conrey_index': 323, 'cusp_dim': 42, 'dim': 20, 'eis_dim': 24, 'eis_new_dim': 8, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 68753031492, 'hecke_orbit_dims': [4, 8, 8], 'label': '324.2.b', 'level': 324, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2, 3], 'level_radical': 6, 'mf_dim': 66, 'mf_new_dim': 28, 'num_forms': 3, 'prim_orbit_index': 2, 'relative_dim': 20, 'sturm_bound': 108, 'trace_bound': 4, 'trace_display': [0, 0, 0, 0], 'traces': [20, 0, 0, 2, 0, 0, 0, 0, 0, -8, 0, 0, 4, 0, 0, 14, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 10, 0, 0, 4, 0, 0, 4, 0, 0, 0, 0, 0, -24, 0, 0, 8, 0, 0, -32, 0, 0, 0, 0, 0, -20, 0, 0, -8, 0, 0, 2, 0, 0, 0, 0, 0, -24, 0, 0, 4, 0, 0, -54, 0, 0, 0, 0, 0, 46, 0, 0, -28, 0, 0, -18, 0, 0, 0, 0, 0, -12, 0, 0, -8, 0, 0, 54, 0, 0, 0, 0, 0, 28, 0, 0, -32, 0, 0, 96, 0, 0, 0, 0, 0, -6, 0, 0, -28, 0, 0, 96, 0, 0, 0, 0, 0, 92, 0, 0, 0, 0, 0, -50, 0, 0, 0, 0, 0, 0, 0, 0, -88, 0, 0, -32, 0, 0, 0, 0, 0, -24, 0, 0, 40, 0, 0, -32, 0, 0, 0, 0, 0, -84, 0, 0, 36, 0, 0, 66, 0, 0, 0, 0, 0, -116, 0, 0, -32, 0, 0, -36, 0, 0, 0, 0, 0, 144, 0, 0, 76, 0, 0, -82, 0, 0, 0, 0, 0, -20, 0, 0, 80, 0, 0, 100, 0, 0, 0, 0, 0, 126, 0, 0, -12, 0, 0, 24, 0, 0, 0, 0, 0, -44, 0, 0, 4, 0, 0, 64, 0, 0, 0, 0, 0, 120, 0, 0, -8, 0, 0, -116, 0, 0, 0, 0, 0, 104, 0, 0, 132, 0, 0, 38, 0, 0, 0, 0, 0, -96, 0, 0, -100, 0, 0, -66, 0, 0, 0, 0, 0, -146, 0, 0, -116, 0, 0, -36, 0, 0, 0, 0, 0, -168, 0, 0, 96, 0, 0, -122, 0, 0, 0, 0, 0, 64, 0, 0, -60, 0, 0, 18, 0, 0, 0, 0, 0, 60, 0, 0, -116, 0, 0, -24, 0, 0, 0, 0, 0, -12, 0, 0, 36, 0, 0, 94, 0, 0, 0, 0, 0, -132, 0, 0, -32, 0, 0, 152, 0, 0, 0, 0, 0, 52, 0, 0, -44, 0, 0, -186, 0, 0, 0, 0, 0, 72, 0, 0, -16, 0, 0, 60, 0, 0, 0, 0, 0, -196, 0, 0, 76, 0, 0, -144, 0, 0, 0, 0, 0, -84, 0, 0, 132, 0, 0, 10, 0, 0, 0, 0, 0, -44, 0, 0, -68, 0, 0, -234, 0, 0, 0, 0, 0, 120, 0, 0, 112, 0, 0, -48, 0, 0, 0, 0, 0, -54, 0, 0, 172, 0, 0, 148, 0, 0, 0, 0, 0, 84, 0, 0, 112, 0, 0, 256, 0, 0, 0, 0, 0, 56, 0, 0, 80, 0, 0, 216, 0, 0, 0, 0, 0, 150, 0, 0, -8, 0, 0, -60, 0, 0, 0, 0, 0, -98, 0, 0, 60, 0, 0, -126, 0, 0, 0, 0, 0, 12, 0, 0, -64, 0, 0, -28, 0, 0, 0, 0, 0, -68, 0, 0, -88, 0, 0, 192, 0, 0, 0, 0, 0, -126, 0, 0, 56, 0, 0, 36, 0, 0, 0, 0, 0, 262, 0, 0, -204, 0, 0, -136, 0, 0, 0, 0, 0, -48, 0, 0, -160, 0, 0, 180, 0, 0, 0, 0, 0, 280, 0, 0, -176, 0, 0, -14, 0, 0, 0, 0, 0, 54, 0, 0, 84, 0, 0, -30, 0, 0, 0, 0, 0, 196, 0, 0, 80, 0, 0, -144, 0, 0, 0, 0, 0, 120, 0, 0, -248, 0, 0, 128, 0, 0, 0, 0, 0, -80, 0, 0, 72, 0, 0, -44, 0, 0, 0, 0, 0, -192, 0, 0, 244, 0, 0, -24, 0, 0, 0, 0, 0, -256, 0, 0, -176, 0, 0, -204, 0, 0, 0, 0, 0, -24, 0, 0, 112, 0, 0, 76, 0, 0, 0, 0, 0, 124, 0, 0, -56, 0, 0, -44, 0, 0, 0, 0, 0, -126, 0, 0, -48, 0, 0, 108, 0, 0, 0, 0, 0, -132, 0, 0, -32, 0, 0, 144, 0, 0, 0, 0, 0, -84, 0, 0, 64, 0, 0, -234, 0, 0, 0, 0, 0, 204, 0, 0, 164, 0, 0, 42, 0, 0, 0, 0, 0, -114, 0, 0, -136, 0, 0, -180, 0, 0, 0, 0, 0, 70, 0, 0, -260, 0, 0, 76, 0, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, -176, 0, 0, 0, 0, 0, 56, 0, 0, -212, 0, 0, -156, 0, 0, 0, 0, 0, -96, 0, 0, -208, 0, 0, 186, 0, 0, 0, 0, 0, -40, 0, 0, -32, 0, 0, 216, 0, 0, 0, 0, 0, 12, 0, 0, -248, 0, 0, 238, 0, 0, 0, 0, 0, 52, 0, 0, 144, 0, 0, 74, 0, 0, 0, 0, 0, -168, 0, 0, -124, 0, 0, -180, 0, 0, 0, 0, 0, 154, 0, 0, 300, 0, 0, 64, 0, 0, 0, 0, 0, -96, 0, 0, -36, 0, 0, 152, 0, 0, 0, 0, 0, -120, 0, 0, -104, 0, 0, 112, 0, 0, 0, 0, 0, 228, 0, 0, 288, 0, 0, -48, 0, 0, 0, 0, 0, -90, 0, 0, 316, 0, 0, 90, 0, 0, 0, 0, 0, 252, 0, 0, 200, 0, 0, -120, 0, 0, 0, 0, 0, 72, 0, 0, 184, 0, 0, -96, 0, 0, 0, 0, 0, 294, 0, 0, -72, 0, 0, -132, 0, 0, 0, 0, 0, 82, 0, 0, 332, 0, 0, 112, 0, 0, 0, 0, 0, -192, 0, 0, -204, 0, 0, 4, 0, 0, 0, 0, 0, -272, 0, 0, -36, 0, 0, -260, 0, 0, 0, 0, 0, -162, 0, 0, 292, 0, 0, -120, 0, 0, 0, 0, 0, -186, 0, 0, -100, 0, 0, 216, 0, 0, 0, 0, 0, 276, 0, 0, 56, 0, 0, -206, 0, 0, 0, 0, 0, -40, 0, 0, -12, 0, 0, 16, 0, 0, 0, 0, 0, -294, 0, 0, 44, 0, 0, 36, 0, 0, 0, 0, 0, -144, 0, 0, -224, 0, 0, -196], 'weight': 2, '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: 40549427
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 323, 'source_dim': 8, 'source_embedding_index': 8, 'source_hecke_orbit_code': 9007268007772484, 'source_is_minimal': True, 'source_label': '324.2.b.c.323.8', 'source_level': 324, 'target_conrey_index': 323, 'target_dim': 8, 'target_embedding_index': 8, 'target_hecke_orbit_code': 9007268007772484, 'target_is_minimal': True, 'target_label': '324.2.b.c.323.8', 'target_level': 324, 'twist_class_label': '324.2.b.c.323.1', 'twist_class_level': 324, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 40549428
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 323, 'source_dim': 8, 'source_embedding_index': 8, 'source_hecke_orbit_code': 9007268007772484, 'source_is_minimal': True, 'source_label': '324.2.b.c.323.8', 'source_level': 324, 'target_conrey_index': 323, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007268007772484, 'target_is_minimal': True, 'target_label': '324.2.b.c.323.1', 'target_level': 324, 'twist_class_label': '324.2.b.c.323.1', 'twist_class_level': 324, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 40549429
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 323, 'source_dim': 8, 'source_embedding_index': 8, 'source_hecke_orbit_code': 9007268007772484, 'source_is_minimal': True, 'source_label': '324.2.b.c.323.8', 'source_level': 324, 'target_conrey_index': 323, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007268007772484, 'target_is_minimal': True, 'target_label': '324.2.b.c.323.2', 'target_level': 324, 'twist_class_label': '324.2.b.c.323.1', 'twist_class_level': 324, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 40549430
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 323, 'source_dim': 8, 'source_embedding_index': 8, 'source_hecke_orbit_code': 9007268007772484, 'source_is_minimal': True, 'source_label': '324.2.b.c.323.8', 'source_level': 324, 'target_conrey_index': 5183, 'target_dim': 8, 'target_embedding_index': 8, 'target_hecke_orbit_code': 45036133746218048, 'target_is_minimal': False, 'target_label': '5184.2.c.k.5183.8', 'target_level': 5184, 'twist_class_label': '324.2.b.c.323.1', 'twist_class_level': 324, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 40549431
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 323, 'source_dim': 8, 'source_embedding_index': 8, 'source_hecke_orbit_code': 9007268007772484, 'source_is_minimal': True, 'source_label': '324.2.b.c.323.8', 'source_level': 324, 'target_conrey_index': 5183, 'target_dim': 8, 'target_embedding_index': 7, 'target_hecke_orbit_code': 45036133746218048, 'target_is_minimal': False, 'target_label': '5184.2.c.k.5183.7', 'target_level': 5184, 'twist_class_label': '324.2.b.c.323.1', 'twist_class_level': 324, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 40549432
    {'conductor': 9, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 323, 'source_dim': 8, 'source_embedding_index': 8, 'source_hecke_orbit_code': 9007268007772484, 'source_is_minimal': True, 'source_label': '324.2.b.c.323.8', 'source_level': 324, 'target_conrey_index': 215, 'target_dim': 16, 'target_embedding_index': 6, 'target_hecke_orbit_code': 22518479206744388, 'target_is_minimal': False, 'target_label': '324.2.h.f.215.6', 'target_level': 324, 'twist_class_label': '324.2.b.c.323.1', 'twist_class_level': 324, 'twisting_char_label': '9.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 40549433
    {'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 323, 'source_dim': 8, 'source_embedding_index': 8, 'source_hecke_orbit_code': 9007268007772484, 'source_is_minimal': True, 'source_label': '324.2.b.c.323.8', 'source_level': 324, 'target_conrey_index': 107, 'target_dim': 16, 'target_embedding_index': 2, 'target_hecke_orbit_code': 22518479206744388, 'target_is_minimal': False, 'target_label': '324.2.h.f.107.2', 'target_level': 324, 'twist_class_label': '324.2.b.c.323.1', 'twist_class_level': 324, 'twisting_char_label': '9.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 40549434
    {'conductor': 9, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 323, 'source_dim': 8, 'source_embedding_index': 8, 'source_hecke_orbit_code': 9007268007772484, 'source_is_minimal': True, 'source_label': '324.2.b.c.323.8', 'source_level': 324, 'target_conrey_index': 107, 'target_dim': 16, 'target_embedding_index': 7, 'target_hecke_orbit_code': 22518479206744388, 'target_is_minimal': False, 'target_label': '324.2.h.f.107.7', 'target_level': 324, 'twist_class_label': '324.2.b.c.323.1', 'twist_class_level': 324, 'twisting_char_label': '9.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 40549435
    {'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 323, 'source_dim': 8, 'source_embedding_index': 8, 'source_hecke_orbit_code': 9007268007772484, 'source_is_minimal': True, 'source_label': '324.2.b.c.323.8', 'source_level': 324, 'target_conrey_index': 215, 'target_dim': 16, 'target_embedding_index': 3, 'target_hecke_orbit_code': 22518479206744388, 'target_is_minimal': False, 'target_label': '324.2.h.f.215.3', 'target_level': 324, 'twist_class_label': '324.2.b.c.323.1', 'twist_class_level': 324, 'twisting_char_label': '9.7', 'twisting_conrey_index': 7, 'weight': 2}
  • id: 40549436
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 323, 'source_dim': 8, 'source_embedding_index': 8, 'source_hecke_orbit_code': 9007268007772484, 'source_is_minimal': True, 'source_label': '324.2.b.c.323.8', 'source_level': 324, 'target_conrey_index': 323, 'target_dim': 8, 'target_embedding_index': 7, 'target_hecke_orbit_code': 9007268007772484, 'target_is_minimal': True, 'target_label': '324.2.b.c.323.7', 'target_level': 324, 'twist_class_label': '324.2.b.c.323.1', 'twist_class_level': 324, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 40549437
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 323, 'source_dim': 8, 'source_embedding_index': 8, 'source_hecke_orbit_code': 9007268007772484, 'source_is_minimal': True, 'source_label': '324.2.b.c.323.8', 'source_level': 324, 'target_conrey_index': 5183, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 45036133746218048, 'target_is_minimal': False, 'target_label': '5184.2.c.k.5183.1', 'target_level': 5184, 'twist_class_label': '324.2.b.c.323.1', 'twist_class_level': 324, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 40549438
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 323, 'source_dim': 8, 'source_embedding_index': 8, 'source_hecke_orbit_code': 9007268007772484, 'source_is_minimal': True, 'source_label': '324.2.b.c.323.8', 'source_level': 324, 'target_conrey_index': 5183, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 45036133746218048, 'target_is_minimal': False, 'target_label': '5184.2.c.k.5183.2', 'target_level': 5184, 'twist_class_label': '324.2.b.c.323.1', 'twist_class_level': 324, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 40549439
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 323, 'source_dim': 8, 'source_embedding_index': 8, 'source_hecke_orbit_code': 9007268007772484, 'source_is_minimal': True, 'source_label': '324.2.b.c.323.8', 'source_level': 324, 'target_conrey_index': 215, 'target_dim': 16, 'target_embedding_index': 7, 'target_hecke_orbit_code': 22518479206744388, 'target_is_minimal': False, 'target_label': '324.2.h.f.215.7', 'target_level': 324, 'twist_class_label': '324.2.b.c.323.1', 'twist_class_level': 324, 'twisting_char_label': '36.7', 'twisting_conrey_index': 7, 'weight': 2}
  • id: 40549440
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 323, 'source_dim': 8, 'source_embedding_index': 8, 'source_hecke_orbit_code': 9007268007772484, 'source_is_minimal': True, 'source_label': '324.2.b.c.323.8', 'source_level': 324, 'target_conrey_index': 215, 'target_dim': 16, 'target_embedding_index': 2, 'target_hecke_orbit_code': 22518479206744388, 'target_is_minimal': False, 'target_label': '324.2.h.f.215.2', 'target_level': 324, 'twist_class_label': '324.2.b.c.323.1', 'twist_class_level': 324, 'twisting_char_label': '36.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 40549441
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 323, 'source_dim': 8, 'source_embedding_index': 8, 'source_hecke_orbit_code': 9007268007772484, 'source_is_minimal': True, 'source_label': '324.2.b.c.323.8', 'source_level': 324, 'target_conrey_index': 107, 'target_dim': 16, 'target_embedding_index': 3, 'target_hecke_orbit_code': 22518479206744388, 'target_is_minimal': False, 'target_label': '324.2.h.f.107.3', 'target_level': 324, 'twist_class_label': '324.2.b.c.323.1', 'twist_class_level': 324, 'twisting_char_label': '36.23', 'twisting_conrey_index': 23, 'weight': 2}
  • id: 40549442
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 323, 'source_dim': 8, 'source_embedding_index': 8, 'source_hecke_orbit_code': 9007268007772484, 'source_is_minimal': True, 'source_label': '324.2.b.c.323.8', 'source_level': 324, 'target_conrey_index': 107, 'target_dim': 16, 'target_embedding_index': 6, 'target_hecke_orbit_code': 22518479206744388, 'target_is_minimal': False, 'target_label': '324.2.h.f.107.6', 'target_level': 324, 'twist_class_label': '324.2.b.c.323.1', 'twist_class_level': 324, 'twisting_char_label': '36.31', 'twisting_conrey_index': 31, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 708525
    {'charpoly_factorization': [[[16, 0, -16, 0, 9, 0, -4, 0, 1], 1]], 'hecke_orbit_code': 9007268007772484, 'p': 2}
  • id: 708526
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 9007268007772484, 'p': 3}
  • id: 708527
    {'charpoly_factorization': [[[1, 0, 4, 0, 1], 2]], 'hecke_orbit_code': 9007268007772484, 'p': 5}
  • id: 708528
    {'charpoly_factorization': [[[132, 0, 24, 0, 1], 2]], 'hecke_orbit_code': 9007268007772484, 'p': 7}
  • id: 708529
    {'charpoly_factorization': [[[132, 0, -36, 0, 1], 2]], 'hecke_orbit_code': 9007268007772484, 'p': 11}
  • id: 708530
    {'charpoly_factorization': [[[-11, 2, 1], 4]], 'hecke_orbit_code': 9007268007772484, 'p': 13}
  • id: 708531
    {'charpoly_factorization': [[[121, 0, 28, 0, 1], 2]], 'hecke_orbit_code': 9007268007772484, 'p': 17}
  • id: 708532
    {'charpoly_factorization': [[[1188, 0, 72, 0, 1], 2]], 'hecke_orbit_code': 9007268007772484, 'p': 19}
  • id: 708533
    {'charpoly_factorization': [[[132, 0, -60, 0, 1], 2]], 'hecke_orbit_code': 9007268007772484, 'p': 23}
  • id: 708534
    {'charpoly_factorization': [[[121, 0, 28, 0, 1], 2]], 'hecke_orbit_code': 9007268007772484, 'p': 29}
  • id: 708535
    {'charpoly_factorization': [[[528, 0, 72, 0, 1], 2]], 'hecke_orbit_code': 9007268007772484, 'p': 31}
  • id: 708536
    {'charpoly_factorization': [[[1, -4, 1], 4]], 'hecke_orbit_code': 9007268007772484, 'p': 37}
  • id: 708537
    {'charpoly_factorization': [[[676, 0, 76, 0, 1], 2]], 'hecke_orbit_code': 9007268007772484, 'p': 41}
  • id: 708538
    {'charpoly_factorization': [[[132, 0, 24, 0, 1], 2]], 'hecke_orbit_code': 9007268007772484, 'p': 43}
  • id: 708539
    {'charpoly_factorization': [[[528, 0, -48, 0, 1], 2]], 'hecke_orbit_code': 9007268007772484, 'p': 47}
  • id: 708540
    {'charpoly_factorization': [[[2116, 0, 124, 0, 1], 2]], 'hecke_orbit_code': 9007268007772484, 'p': 53}
  • id: 708541
    {'charpoly_factorization': [[[528, 0, -48, 0, 1], 2]], 'hecke_orbit_code': 9007268007772484, 'p': 59}
  • id: 708542
    {'charpoly_factorization': [[[13, 8, 1], 4]], 'hecke_orbit_code': 9007268007772484, 'p': 61}
  • id: 708543
    {'charpoly_factorization': [[[132, 0, 24, 0, 1], 2]], 'hecke_orbit_code': 9007268007772484, 'p': 67}
  • id: 708544
    {'charpoly_factorization': [[[1188, 0, -108, 0, 1], 2]], 'hecke_orbit_code': 9007268007772484, 'p': 71}
  • id: 708545
    {'charpoly_factorization': [[[-59, 8, 1], 4]], 'hecke_orbit_code': 9007268007772484, 'p': 73}
  • id: 708546
    {'charpoly_factorization': [[[132, 0, 120, 0, 1], 2]], 'hecke_orbit_code': 9007268007772484, 'p': 79}
  • id: 708547
    {'charpoly_factorization': [[[2112, 0, -144, 0, 1], 2]], 'hecke_orbit_code': 9007268007772484, 'p': 83}
  • id: 708548
    {'charpoly_factorization': [[[2401, 0, 196, 0, 1], 2]], 'hecke_orbit_code': 9007268007772484, 'p': 89}
  • id: 708549
    {'charpoly_factorization': [[[4, 8, 1], 4]], 'hecke_orbit_code': 9007268007772484, 'p': 97}
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 2, 'hecke_orbit': 3, 'label': '324.2.b.c', 'level': 324, 'portrait': 'data:image/png;base64,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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 29560585
    {'hecke_orbit_code': 9007268007772484, 'n': 1, 'trace_an': 8}
  • id: 29560586
    {'hecke_orbit_code': 9007268007772484, 'n': 2, 'trace_an': 0}
  • id: 29560587
    {'hecke_orbit_code': 9007268007772484, 'n': 3, 'trace_an': 0}
  • id: 29560588
    {'hecke_orbit_code': 9007268007772484, 'n': 4, 'trace_an': 8}
  • id: 29560589
    {'hecke_orbit_code': 9007268007772484, 'n': 5, 'trace_an': 0}
  • id: 29560590
    {'hecke_orbit_code': 9007268007772484, 'n': 6, 'trace_an': 0}
  • id: 29560591
    {'hecke_orbit_code': 9007268007772484, 'n': 7, 'trace_an': 0}
  • id: 29560592
    {'hecke_orbit_code': 9007268007772484, 'n': 8, 'trace_an': 0}
  • id: 29560593
    {'hecke_orbit_code': 9007268007772484, 'n': 9, 'trace_an': 0}
  • id: 29560594
    {'hecke_orbit_code': 9007268007772484, 'n': 10, 'trace_an': 4}
  • id: 29560595
    {'hecke_orbit_code': 9007268007772484, 'n': 11, 'trace_an': 0}
  • id: 29560596
    {'hecke_orbit_code': 9007268007772484, 'n': 12, 'trace_an': 0}
  • id: 29560597
    {'hecke_orbit_code': 9007268007772484, 'n': 13, 'trace_an': -8}
  • id: 29560598
    {'hecke_orbit_code': 9007268007772484, 'n': 14, 'trace_an': 0}
  • id: 29560599
    {'hecke_orbit_code': 9007268007772484, 'n': 15, 'trace_an': 0}
  • id: 29560600
    {'hecke_orbit_code': 9007268007772484, 'n': 16, 'trace_an': -4}
  • id: 29560601
    {'hecke_orbit_code': 9007268007772484, 'n': 17, 'trace_an': 0}
  • id: 29560602
    {'hecke_orbit_code': 9007268007772484, 'n': 18, 'trace_an': 0}
  • id: 29560603
    {'hecke_orbit_code': 9007268007772484, 'n': 19, 'trace_an': 0}
  • id: 29560604
    {'hecke_orbit_code': 9007268007772484, 'n': 20, 'trace_an': 0}
  • id: 29560605
    {'hecke_orbit_code': 9007268007772484, 'n': 21, 'trace_an': 0}
  • id: 29560606
    {'hecke_orbit_code': 9007268007772484, 'n': 22, 'trace_an': 12}
  • id: 29560607
    {'hecke_orbit_code': 9007268007772484, 'n': 23, 'trace_an': 0}
  • id: 29560608
    {'hecke_orbit_code': 9007268007772484, 'n': 24, 'trace_an': 0}
  • id: 29560609
    {'hecke_orbit_code': 9007268007772484, 'n': 25, 'trace_an': 24}
  • id: 29560610
    {'hecke_orbit_code': 9007268007772484, 'n': 26, 'trace_an': 0}
  • id: 29560611
    {'hecke_orbit_code': 9007268007772484, 'n': 27, 'trace_an': 0}
  • id: 29560612
    {'hecke_orbit_code': 9007268007772484, 'n': 28, 'trace_an': -12}
  • id: 29560613
    {'hecke_orbit_code': 9007268007772484, 'n': 29, 'trace_an': 0}
  • id: 29560614
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  • id: 29560615
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  • id: 29560616
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  • id: 29560617
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  • id: 29560618
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  • id: 29560619
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  • id: 29560620
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  • id: 29560621
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  • id: 29560622
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  • id: 29560623
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  • id: 29560624
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  • id: 29560625
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  • id: 29560626
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  • id: 29560627
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  • id: 29560628
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  • id: 29560629
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  • id: 29560630
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  • id: 29560631
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  • id: 29560632
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  • id: 29560633
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  • id: 29560634
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  • id: 29560635
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  • id: 29560636
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  • id: 29560637
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  • id: 29560638
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  • id: 29560639
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  • id: 29560640
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  • id: 29560641
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  • id: 29560642
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  • id: 29560643
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  • id: 29560644
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  • id: 29560645
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  • id: 29560646
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  • id: 29560647
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  • id: 29560648
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  • id: 29560649
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  • id: 29560650
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  • id: 29560652
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  • id: 29560654
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  • id: 29560655
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  • id: 29560656
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  • id: 29560657
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  • id: 29560658
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  • id: 29560659
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  • id: 29560660
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  • id: 29560661
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  • id: 29560662
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  • id: 29560663
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  • id: 29560664
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  • id: 29560666
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  • id: 29560668
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  • id: 29560669
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  • id: 29560671
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  • id: 29560672
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  • id: 29560678
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  • id: 29560679
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  • id: 29560680
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  • id: 29560681
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  • id: 29560682
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  • id: 29560683
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  • id: 29560684
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  • id: 29560685
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  • id: 29560686
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  • id: 29560687
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  • id: 29560688
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  • id: 29560689
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  • id: 29560690
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  • id: 29560691
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  • id: 29560692
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  • id: 29560693
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  • id: 29560694
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  • id: 29560695
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  • id: 29560696
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  • id: 29560697
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  • id: 29560698
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  • id: 29560699
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  • id: 29560700
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  • id: 29560701
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  • id: 29560702
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  • id: 29560703
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  • id: 29560704
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  • id: 29560705
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  • id: 29560706
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  • id: 29560707
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  • id: 29560708
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  • id: 29560709
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  • id: 29560710
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  • id: 29560711
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  • id: 29560712
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  • id: 29560713
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  • id: 29560714
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  • id: 29560715
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  • id: 29560716
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  • id: 29560717
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  • id: 29560718
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  • id: 29560719
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  • id: 29560720
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  • id: 29560721
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  • id: 29560722
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  • id: 29560723
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  • id: 29560724
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  • id: 29560725
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  • id: 29560726
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  • id: 29560727
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  • id: 29560728
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  • id: 29560729
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  • id: 29560730
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  • id: 29560731
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  • id: 29560732
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  • id: 29560733
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  • id: 29560734
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  • id: 29560735
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  • id: 29560736
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  • id: 29560737
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  • id: 29560738
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  • id: 29560739
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  • id: 29560740
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  • id: 29560741
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  • id: 29560742
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  • id: 29560743
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  • id: 29560744
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  • id: 29560745
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  • id: 29560746
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  • id: 29560747
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  • id: 29560748
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  • id: 29560749
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  • id: 29560750
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  • id: 29560751
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  • id: 29560752
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  • id: 29560753
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  • id: 29560754
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  • id: 29560755
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  • id: 29560756
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  • id: 29560757
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  • id: 29560758
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  • id: 29560759
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  • id: 29560760
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  • id: 29560761
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  • id: 29560762
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  • id: 29560763
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  • id: 29560764
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  • id: 29560765
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  • id: 29560766
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  • id: 29560767
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  • id: 29560768
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  • id: 29560769
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  • id: 29560770
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  • id: 29560771
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  • id: 29560772
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  • id: 29560773
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  • id: 29560774
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  • id: 29560775
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  • id: 29560776
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  • id: 29560777
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  • id: 29560778
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  • id: 29560779
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  • id: 29560780
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  • id: 29560781
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  • id: 29560782
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  • id: 29560783
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  • id: 29560784
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  • id: 29560785
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  • id: 29560786
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  • id: 29560787
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  • id: 29560788
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  • id: 29560789
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  • id: 29560791
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  • id: 29560792
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  • id: 29560793
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  • id: 29560799
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  • id: 29560800
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  • id: 29560801
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  • id: 29560802
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  • id: 29560803
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  • id: 29560804
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  • id: 29560805
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  • id: 29560806
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  • id: 29560807
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  • id: 29560808
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  • id: 29560809
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  • id: 29560810
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  • id: 29560811
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  • id: 29560812
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  • id: 29560813
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  • id: 29560814
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  • id: 29560815
    {'hecke_orbit_code': 9007268007772484, 'n': 823, 'trace_an': 0}
  • id: 29560816
    {'hecke_orbit_code': 9007268007772484, 'n': 827, 'trace_an': 0}
  • id: 29560817
    {'hecke_orbit_code': 9007268007772484, 'n': 829, 'trace_an': 64}
  • id: 29560818
    {'hecke_orbit_code': 9007268007772484, 'n': 839, 'trace_an': 0}
  • id: 29560819
    {'hecke_orbit_code': 9007268007772484, 'n': 841, 'trace_an': 120}
  • id: 29560820
    {'hecke_orbit_code': 9007268007772484, 'n': 853, 'trace_an': 304}
  • id: 29560821
    {'hecke_orbit_code': 9007268007772484, 'n': 857, 'trace_an': 0}
  • id: 29560822
    {'hecke_orbit_code': 9007268007772484, 'n': 859, 'trace_an': 0}
  • id: 29560823
    {'hecke_orbit_code': 9007268007772484, 'n': 863, 'trace_an': 0}
  • id: 29560824
    {'hecke_orbit_code': 9007268007772484, 'n': 877, 'trace_an': -128}
  • id: 29560825
    {'hecke_orbit_code': 9007268007772484, 'n': 881, 'trace_an': 0}
  • id: 29560826
    {'hecke_orbit_code': 9007268007772484, 'n': 883, 'trace_an': 0}
  • id: 29560827
    {'hecke_orbit_code': 9007268007772484, 'n': 887, 'trace_an': 0}
  • id: 29560828
    {'hecke_orbit_code': 9007268007772484, 'n': 907, 'trace_an': 0}
  • id: 29560829
    {'hecke_orbit_code': 9007268007772484, 'n': 911, 'trace_an': 0}
  • id: 29560830
    {'hecke_orbit_code': 9007268007772484, 'n': 919, 'trace_an': 0}
  • id: 29560831
    {'hecke_orbit_code': 9007268007772484, 'n': 929, 'trace_an': 0}
  • id: 29560832
    {'hecke_orbit_code': 9007268007772484, 'n': 937, 'trace_an': 232}
  • id: 29560833
    {'hecke_orbit_code': 9007268007772484, 'n': 941, 'trace_an': 0}
  • id: 29560834
    {'hecke_orbit_code': 9007268007772484, 'n': 947, 'trace_an': 0}
  • id: 29560835
    {'hecke_orbit_code': 9007268007772484, 'n': 953, 'trace_an': 0}
  • id: 29560836
    {'hecke_orbit_code': 9007268007772484, 'n': 961, 'trace_an': -40}
  • id: 29560837
    {'hecke_orbit_code': 9007268007772484, 'n': 967, 'trace_an': 0}
  • id: 29560838
    {'hecke_orbit_code': 9007268007772484, 'n': 971, 'trace_an': 0}
  • id: 29560839
    {'hecke_orbit_code': 9007268007772484, 'n': 977, 'trace_an': 0}
  • id: 29560840
    {'hecke_orbit_code': 9007268007772484, 'n': 983, 'trace_an': 0}
  • id: 29560841
    {'hecke_orbit_code': 9007268007772484, 'n': 991, 'trace_an': 0}
  • id: 29560842
    {'hecke_orbit_code': 9007268007772484, 'n': 997, 'trace_an': 208}