Embedded newform data - 296.2.i.b.121.1

Formats: - HTML - YAML - JSON - 2026-07-27T13:45:28.413391

• 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': 1184, 'analytic_conductor': 2.3635718998298993, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 37, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 9, 'char_orbit_label': 'i', 'char_order': 3, 'char_parity': 1, 'char_values': [296, 3, [223, 149, 113], [3, 3, 2]], 'cm_discs': [], 'conrey_index': 121, 'dim': 6, 'field_disc': -591408, 'field_disc_factorization': [[-1, 1], [2, 4], [3, 3], [37, 2]], 'field_poly': [1, -3, 10, 1, 4, -1, 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': [[3, [16, 16, 24, 0, 8, 2, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4504149416739112, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 4, 'hecke_ring_index_factorization': [[2, 2]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 37, 3, 1, 3, 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': '296.2.i.b', 'level': 296, '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, 37], 'level_radical': 74, 'minimal_twist': '296.2.i.b', 'nf_label': '6.0.591408.1', 'prim_orbit_index': 3, 'qexp_display': 'q+(\\beta _{1}-\\beta _{3}+\\beta _{5})q^{3}+(\\beta _{1}+\\beta _{5})q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '1.2.3.c3', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '296.2.i', 'trace_display': [0, -2, 1, 2], 'trace_hash': 1302702986972859433, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.042', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.508', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.434', 'prec': 17}, {'__RealLiteral__': 0, 'data': '127.470', 'prec': 24}, {'__RealLiteral__': 0, 'data': '384.522', 'prec': 24}, {'__RealLiteral__': 0, 'data': '5564.875', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.006', 'prec': 17}, 'traces': [6, 0, -2, 0, 1, 0, 2, 0, -3, 0, 0, 0, 6, 0, -10, 0, -5, 0, -8, 0, 0, 0, 12, 0, 4, 0, 16, 0, 6, 0, -32, 0, 0, 0, -2, 0, 15, 0, 4, 0, -5, 0, -20, 0, 22, 0, -8, 0, 1, 0, 12, 0, 6, 0, 0, 0, -8, 0, 8, 0, -27, 0, 36, 0, -2, 0, -4, 0, -24, 0, 2, 0, -12, 0, -24, 0, 0, 0, -8, 0, 1, 0, 6, 0, 2, 0, 18, 0, -13, 0, -4, 0, 32, 0, 0, 0, 18, 0, 0, 0, -18, 0, -12, 0, 24, 0, -14, 0, -11, 0, -10, 0, -2, 0, -18, 0, -12, 0, 68, 0, -66, 0, 6, 0, -6, 0, 14, 0, -28, 0, 18, 0, -32, 0, 0, 0, 98, 0, -14, 0, 24, 0, 0, 0, 21, 0, 12, 0, -50, 0, 34, 0, -45, 0, 16, 0, 21, 0, -32, 0, 20, 0, -26, 0, 0, 0, 20, 0, 27, 0, 96, 0, 13, 0, 40, 0, -16, 0, -40, 0, 17, 0, -38, 0, -1, 0, 0, 0, -32, 0, 20, 0, -38, 0, -40, 0, -15, 0, 4, 0, 40, 0, -14, 0, 11, 0, -10, 0, 0, 0, 28, 0, -16, 0, -38, 0, -8, 0, -32, 0, -20, 0, -28, 0, -4, 0, -4, 0, 1, 0, 0, 0, 2, 0, 20, 0, -32, 0, -58, 0, 30, 0, -6, 0, 14, 0, 16, 0, 104, 0, 52, 0, 0, 0, -54, 0, -33, 0, -50, 0, 1, 0, -56, 0, -20, 0, 116, 0, -44, 0, 28, 0, 0, 0, 0, 0, -15, 0, 40, 0, 15, 0, -46, 0, 128, 0, -14, 0, -32, 0, -58, 0, 17, 0, 0, 0, 0, 0, 12, 0, -48, 0, -2, 0, -11, 0, 52, 0, 48, 0, -34, 0, 27, 0, -14, 0, 69, 0, 0, 0, -36, 0, 176, 0, 16, 0, -68, 0, 0, 0, -64, 0, 90, 0, 44, 0, -9, 0, -144, 0, 0, 0, -80, 0, -4, 0, 12, 0, 45, 0, 16, 0, -65, 0, -18, 0, -40, 0, -32, 0, -39, 0, 22, 0, -38, 0, 20, 0, 26, 0, -32, 0, 17, 0, 46, 0, 6, 0, -22, 0, -96, 0, 10, 0, 0, 0, -66, 0, 41, 0, 22, 0, 40, 0, -24, 0, 38, 0, 80, 0, -60, 0, -32, 0, -31, 0, 0, 0, -5, 0, -54, 0, -64, 0, 116, 0, -88, 0, 38, 0, -2, 0, 28, 0, -28, 0, 34, 0, 0, 0, -20, 0, 130, 0, -26, 0, 16, 0, 24, 0, 49, 0, 40, 0, 90, 0, 18, 0, -34, 0, 0, 0, 24, 0, -8, 0, 47, 0, -88, 0, -18, 0, -6, 0, 56, 0, 136, 0, 8, 0, 44, 0, 0, 0, 48, 0, 38, 0, -44, 0, 18, 0, -4, 0, -49, 0, 4, 0, -72, 0, -64, 0, -37, 0, 0, 0, 52, 0, 24, 0, -24, 0, 32, 0, -11, 0, -36, 0, -43, 0, -64, 0, -96, 0, 42, 0, 0, 0, -100, 0, -50, 0, 10, 0, -8, 0, 32, 0, -2, 0, 48, 0, 10, 0, -22, 0, 96, 0, 0, 0, 6, 0, 38, 0, -90, 0, 120, 0, 62, 0, -40, 0, -72, 0, 40, 0, -27, 0, -20, 0, 0, 0, 12, 0, -148, 0, 14, 0, -22, 0, 50, 0, -72, 0, 44, 0, -22, 0, 34, 0, 96, 0, 0, 0, 22, 0, 18, 0, 48, 0, -4, 0, 2, 0, -6, 0, -88, 0, -52, 0, 79, 0, -88, 0, -11, 0, -68, 0, 4, 0, -8, 0, 9, 0, 68, 0, 38, 0, 116, 0, -32, 0, -116, 0, 23, 0, 0, 0, 110, 0, 14, 0, -60, 0, -68, 0, 4, 0, -76, 0, -1, 0, 32, 0, -8, 0, -10, 0, 0, 0, 24, 0, 29, 0, 76, 0, -90, 0, -44, 0, -39, 0, 12, 0, 16, 0, -100, 0, 8, 0, 0, 0, 22, 0, -24, 0, -66, 0, 18, 0, 48, 0, 10, 0, -5, 0, 82, 0, 24, 0, -8, 0, 0, 0, -116, 0, 86, 0, -86, 0, 22, 0, -136, 0, 16, 0, 30, 0, -44, 0, 224, 0, -144, 0, 0, 0, 32, 0, -66, 0, 20, 0, 112, 0, -32, 0, -4, 0, -18, 0, -66, 0, -26, 0, 58, 0, 0, 0, 148, 0, -32, 0, 68, 0, -7, 0, -94, 0, 80, 0, 76, 0, -12, 0, -10, 0, 25, 0, 0, 0, 15, 0, 12, 0, -61, 0, 32, 0, 84, 0, -28, 0, 25, 0, -40, 0, 96, 0, -48, 0, 0, 0, 80, 0, 86, 0, -8, 0, 32, 0, 16, 0, 54, 0, 40, 0, -18, 0, 12, 0, -13, 0, 0, 0, -24, 0, -100, 0, -58, 0, -72, 0, -48, 0, -124, 0, -56, 0, 36, 0, 30, 0, -6, 0, 0, 0, 92, 0, 22, 0, -98, 0, 111, 0, -44, 0, -96, 0, 2, 0, -56, 0, 76, 0, 18, 0, -22, 0, -68, 0, -30, 0, -55, 0, -72, 0, 74, 0, 84, 0, 16, 0, 44, 0, -74, 0, -64, 0, 0, 0, 8, 0, -49, 0, 22, 0, 102, 0, -62, 0, 107, 0, -46, 0, 64, 0, -116, 0, 120, 0, 0, 0, 16, 0, 76, 0, 48, 0, 48, 0, 50, 0, -76, 0, 21, 0, -96, 0, 37, 0, 44, 0, 0, 0, 148, 0, 32, 0, -44, 0, 28, 0, -4, 0, 32, 0, 74, 0, -41, 0, -224, 0, -96, 0, 0, 0, -109, 0, -140, 0, 53, 0, 26, 0, -8, 0, 8, 0, -12, 0, -76, 0, 78, 0, -62, 0, 0, 0, 30, 0, 70, 0, -60, 0, 15, 0, 44, 0, -104, 0, -82, 0, -32, 0, -24, 0, -2, 0, 0, 0, 17, 0, 56, 0, -34, 0, 24, 0, 16, 0, 244, 0, 0, 0, -86, 0, 6, 0, 32, 0], '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], [0.0, 0.0], [-0.8380850934697835, -1.4516059629557767], [0.0, 0.0], [-0.42557112419265264, -0.737110809335879], [0.0, 0.0], [-0.2882787120739854, -0.4993133760526623], [0.0, 0.0], [-0.9047732477925118, 1.567113234505736], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.2773500981126146, 0.4803844614152614], [0.0, 0.0], [-0.7133296307940803, 1.235523163079696], [0.0, 0.0], [-0.7337739644713307, 1.270933787735585], [0.0, 0.0], [-0.80878855107842, -1.4008628630478395], [0.0, 0.0], [-0.4832041827077498, 0.8369341948796174], [0.0, 0.0], [0.8926494331941195, 0.0], [0.0, 0.0], [0.13777843650680363, -0.2386392522171865], [0.0, 0.0], [1.3569377008410202, 0.0], [0.0, 0.0], [-0.237875039457004, 0.0], [0.0, 0.0], [-1.7612857177092582, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.245366191156272, 0.42498670954232043], [0.0, 0.0], [-0.14053119526029248, -0.990076251184076], [0.0, 0.0], [0.46488596580112845, -0.805206112493282], [0.0, 0.0], [-0.12667375915091922, -0.21940538683513508], [0.0, 0.0], [1.1834637672409976, 0.0], [0.0, 0.0], [1.5401814728099867, 0.0], [0.0, 0.0], [-0.8469539657793496, 0.0], [0.0, 0.0], [0.33379076832992843, -0.5781425698448885], [0.0, 0.0], [2.4598600863985953, 0.0], [0.0, 0.0], [0.4415207726617436, -0.7647364108472077], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.355667256855697, 2.3480845670315946], [0.0, 0.0], [0.45897157488799967, -0.7949620869359193], [0.0, 0.0], [-0.7221917838157993, -1.2508728623777632], [0.0, 0.0], [1.0433074663704887, 0.0], [0.0, 0.0], [0.23606438609745578, -0.40887551057834953], [0.0, 0.0], [0.46502868696181604, 0.8054533127949081], [0.0, 0.0], [-0.7481161836542429, -1.295775240053678], [0.0, 0.0], [0.16436088280349345, 0.28468139979252444], [0.0, 0.0], [1.3209168437514278, 0.0], [0.0, 0.0], [-0.4618802153517006, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.8949024598407551, -1.5500165282625546], [0.0, 0.0], [-0.23245601204950794, -0.4026256233945909], [0.0, 0.0], [-0.7445811790067998, 1.2896524323993142], [0.0, 0.0], [1.2490920438534552, 0.0], [0.0, 0.0], [0.19935952467745166, 0.3453008257141277], [0.0, 0.0], [-0.4738072305789289, 0.820658196356207], [0.0, 0.0], [0.15990825815499604, -0.2769692276742934], [0.0, 0.0], [1.4761073053533587, 2.556692850295604], [0.0, 0.0], [-0.6883941058331797, 1.1923335669340143], [0.0, 0.0], [1.2174642288497206, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0]], 'angles': [None, -0.42517094657901905, -0.1532967196253971, -0.1298748140382474, -0.25, -0.03860523957781663, 0.21445477495265378, -0.43339517251920984, -0.17636631960084917, -0.26897441056131594, -0.4214444682906791, None, -0.10354839873865765, -0.14922220979910314, -0.3195952761412779, -0.34388624240393484, -0.34077565277958166, -0.45490073358228794, -0.006355337123006671, -0.057055253130242886, -0.1351809888204676, -0.40695582271403974, 0.21700871661759388, -0.4952269925175544, -0.14583921406081118, -0.2912196134656348, -0.3620460132554045, -0.10344974023256852, -0.39304731674267734, -0.313867394111612, -0.3661342020657412, -0.42160135328936854, -0.07576767240842475, -0.3721054630124617, -0.32094394993308545, 0.009417966526551271, -0.3581045934026798, -0.40095860593832583, -0.042943492157901685, -0.3474219688821756, -0.3859316122824555, -0.0619281734630475, -0.12981474412728622, -0.31357789799971575, 0.1789726627887269, -0.11847270811809694, -0.18543316430035134, -0.2632018876059284, 0.037669000911941565, -0.020450017874066286, -0.14817911662098723, -0.483852976022696, 0.05371967210806778, -0.1703799401975151, -0.40530994652936764, -0.06602191132330286, -0.0854730338283376, -0.32401857394639905, -0.1419099036362213, -0.47857452562936953, -0.39912325149546185, -0.4654745186581883, -0.20091758261658144, -0.3563631520560891, -0.33177686413318097, -0.29186699647259295, -0.47195293861509413, -0.03814042692350484, -0.3513721277715692, -0.4572490971484551, -0.4929409369538761, -0.15486038297714944, -0.016535045162730355, -0.08616566064820924, -0.4188527762363253, -0.13373525138198955, -0.10916130044922749, -0.3453681781307826, -0.3965056935260573, -0.45837778718121097, -0.2936285957513384, -0.3140734235283485, -0.09174547245127694, -0.2689734952660088, 0.0020555452045543455, -0.29296242276821016, -0.485088193939575, 0.0348393770037224, -0.4070594131048515, -0.15079600811825816, -0.21534680642721915, -0.38918409654884323, -0.2887845074195635, -0.32296440977715934, -0.10172964957069061, -0.37910245802906894, -0.49459329127749097, -0.4192068410573188, -0.03095356648078419, -0.3345136976643653], 'char_orbit_index': 9, 'conrey_index': 121, 'dual_conrey_index': 137, 'dual_embedding_index': 1, 'dual_embedding_m': 4, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.2694272732414724, 'embedding_root_real': 0.15555390873299094, 'hecke_orbit': 2, 'hecke_orbit_code': 4504149416739112, 'label': '296.2.i.b.121.1', 'level': 296, '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': 1184, 'analytic_conductor': 2.3635718998298993, 'char_conductor': 37, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 9, 'char_orbit_label': 'i', 'char_order': 3, 'char_parity': 1, 'char_values': [296, 3, [223, 149, 113], [3, 3, 2]], 'conrey_index': 121, 'cusp_dim': 68, 'dim': 18, 'eis_dim': 16, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 549789368616, 'hecke_orbit_dims': [2, 6, 10], 'label': '296.2.i', 'level': 296, '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, 37], 'level_radical': 74, 'mf_dim': 84, 'mf_new_dim': 18, 'num_forms': 3, 'prim_orbit_index': 3, 'relative_dim': 9, 'sturm_bound': 76, 'trace_bound': 1, 'trace_display': [0, -2, 1, 2], 'traces': [18, 0, -2, 0, 1, 0, 2, 0, -7, 0, 16, 0, 4, 0, 6, 0, 1, 0, -6, 0, 6, 0, 0, 0, -12, 0, 52, 0, 2, 0, -32, 0, 4, 0, -6, 0, -7, 0, 10, 0, -3, 0, -8, 0, -54, 0, 8, 0, -19, 0, 12, 0, 20, 0, 4, 0, -22, 0, -2, 0, 1, 0, -72, 0, 12, 0, -6, 0, -12, 0, -10, 0, -20, 0, 8, 0, -4, 0, 14, 0, -17, 0, -26, 0, 2, 0, -28, 0, 21, 0, -14, 0, 36, 0, -6, 0, -6, 0, 0, 0, -46, 0, -24, 0, 116, 0, -26, 0, -3, 0, -66, 0, 16, 0, 8, 0, 20, 0, 68, 0, -38, 0, 22, 0, -6, 0, -22, 0, -12, 0, 42, 0, -6, 0, 26, 0, 74, 0, -14, 0, 44, 0, 64, 0, 45, 0, 96, 0, 2, 0, 26, 0, -41, 0, -12, 0, 37, 0, -12, 0, -44, 0, -26, 0, 68, 0, -22, 0, 7, 0, 96, 0, 9, 0, -40, 0, -52, 0, -48, 0, 41, 0, -6, 0, 49, 0, 8, 0, 50, 0, 80, 0, -86, 0, 84, 0, 1, 0, 48, 0, 10, 0, 48, 0, -81, 0, 28, 0, 0, 0, -112, 0, -10, 0, -84, 0, -28, 0, -80, 0, -24, 0, -104, 0, -60, 0, 38, 0, 9, 0, -16, 0, -38, 0, 16, 0, 58, 0, -62, 0, 40, 0, -80, 0, -126, 0, 58, 0, -132, 0, 88, 0, 8, 0, -70, 0, 21, 0, -54, 0, -77, 0, -14, 0, 80, 0, 100, 0, -68, 0, 26, 0, -52, 0, -72, 0, -23, 0, 56, 0, -23, 0, 14, 0, 100, 0, 18, 0, 64, 0, 0, 0, 1, 0, -20, 0, 128, 0, -16, 0, -52, 0, 8, 0, 11, 0, 48, 0, 40, 0, -94, 0, 45, 0, -160, 0, 45, 0, -40, 0, -22, 0, 180, 0, -96, 0, -100, 0, 140, 0, 42, 0, 178, 0, 82, 0, -27, 0, -220, 0, -160, 0, 52, 0, -88, 0, -56, 0, 25, 0, 46, 0, -87, 0, 46, 0, -46, 0, -48, 0, 17, 0, 30, 0, -46, 0, 10, 0, -38, 0, -28, 0, -27, 0, 142, 0, 18, 0, -66, 0, -92, 0, -2, 0, 100, 0, -32, 0, 29, 0, 16, 0, -52, 0, -74, 0, -150, 0, 100, 0, -20, 0, -120, 0, 101, 0, -84, 0, -59, 0, 60, 0, -4, 0, 324, 0, 76, 0, 50, 0, 42, 0, -76, 0, -12, 0, 110, 0, -48, 0, -6, 0, 106, 0, 92, 0, 60, 0, 106, 0, 37, 0, -8, 0, 226, 0, 108, 0, -56, 0, -40, 0, 74, 0, 260, 0, 29, 0, -70, 0, 52, 0, -58, 0, 12, 0, 96, 0, -6, 0, 44, 0, 8, 0, 48, 0, 126, 0, -38, 0, 148, 0, -60, 0, -15, 0, 112, 0, -332, 0, 192, 0, -39, 0, -24, 0, 110, 0, -6, 0, -50, 0, -10, 0, -39, 0, -336, 0, -11, 0, -152, 0, -78, 0, -80, 0, -96, 0, -228, 0, -8, 0, 102, 0, 96, 0, 32, 0, -62, 0, 48, 0, 100, 0, -126, 0, 136, 0, -160, 0, -62, 0, 62, 0, -142, 0, 96, 0, 154, 0, -76, 0, 2, 0, -186, 0, -15, 0, -8, 0, 8, 0, 40, 0, -88, 0, 62, 0, 10, 0, -62, 0, -148, 0, 116, 0, 20, 0, 28, 0, 204, 0, 8, 0, 74, 0, 30, 0, 88, 0, -116, 0, 18, 0, -2, 0, -136, 0, 14, 0, 97, 0, -16, 0, -67, 0, -86, 0, 160, 0, -48, 0, 61, 0, -124, 0, -12, 0, 160, 0, -240, 0, -228, 0, 93, 0, 48, 0, 84, 0, 86, 0, 44, 0, -268, 0, -204, 0, 128, 0, -75, 0, -8, 0, -8, 0, 90, 0, -80, 0, 64, 0, 109, 0, -132, 0, -50, 0, -70, 0, -43, 0, 6, 0, -108, 0, -264, 0, 20, 0, 84, 0, 16, 0, -240, 0, -206, 0, -92, 0, 154, 0, -10, 0, 13, 0, 42, 0, -180, 0, 38, 0, -232, 0, -116, 0, 90, 0, -164, 0, 24, 0, -234, 0, 4, 0, 52, 0, 124, 0, 264, 0, -152, 0, 104, 0, -4, 0, -14, 0, -56, 0, 230, 0, -104, 0, 38, 0, 170, 0, -60, 0, 124, 0, 252, 0, 8, 0, 328, 0, 172, 0, 106, 0, -131, 0, -4, 0, 58, 0, 64, 0, -100, 0, -90, 0, 117, 0, -64, 0, 41, 0, 324, 0, -99, 0, -12, 0, -52, 0, 164, 0, 165, 0, 0, 0, 22, 0, -66, 0, -28, 0, 368, 0, -142, 0, 152, 0, -50, 0, 36, 0, -4, 0, -22, 0, -144, 0, 20, 0, 19, 0, -208, 0, 56, 0, -220, 0, -156, 0, -178, 0, -76, 0, 124, 0, -60, 0, 44, 0, -8, 0, -2, 0, 0, 0, 58, 0, 76, 0, -242, 0, 131, 0, -98, 0, -144, 0, 78, 0, -108, 0, 252, 0, 238, 0, -62, 0, -126, 0, 0, 0, -43, 0, -84, 0, 202, 0, 184, 0, 28, 0, 130, 0, -38, 0, -64, 0, 24, 0, -22, 0, 3, 0, -46, 0, 202, 0, 18, 0, 129, 0, -66, 0, 118, 0, -8, 0, 148, 0, -56, 0, -40, 0, 16, 0, 152, 0, 56, 0, 36, 0, -116, 0, 103, 0, -74, 0, -29, 0, -120, 0, -52, 0, 500, 0, 60, 0, -264, 0, 92, 0, -38, 0, 248, 0, 208, 0, 69, 0, -272, 0, -260, 0, 8, 0, -35, 0, 52, 0, 189, 0, 132, 0, -274, 0, -18, 0, -112, 0, -236, 0, 52, 0, 96, 0, -36, 0, -16, 0, -14, 0, -192, 0, -59, 0, 118, 0, -90, 0, -170, 0, -132, 0, -96, 0, 72, 0, -8, 0, 71, 0, 82, 0, 74, 0, 16, 0, -48, 0, 160, 0, 44, 0, -148, 0, -12, 0, -240, 0], '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: 35738554
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 121, 'source_dim': 6, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4504149416739112, 'source_is_minimal': True, 'source_label': '296.2.i.b.121.1', 'source_level': 296, 'target_conrey_index': 121, 'target_dim': 6, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4504149416739112, 'target_is_minimal': True, 'target_label': '296.2.i.b.121.1', 'target_level': 296, 'twist_class_label': '296.2.i.b.121.1', 'twist_class_level': 296, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 35738555
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 121, 'source_dim': 6, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4504149416739112, 'source_is_minimal': True, 'source_label': '296.2.i.b.121.1', 'source_level': 296, 'target_conrey_index': 1009, 'target_dim': 6, 'target_embedding_index': 3, 'target_hecke_orbit_code': 36029965283625576, 'target_is_minimal': False, 'target_label': '2664.2.r.i.1009.3', 'target_level': 2664, 'twist_class_label': '296.2.i.b.121.1', 'twist_class_level': 296, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 35738556
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 121, 'source_dim': 6, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4504149416739112, 'source_is_minimal': True, 'source_label': '296.2.i.b.121.1', 'source_level': 296, 'target_conrey_index': 417, 'target_dim': 6, 'target_embedding_index': 3, 'target_hecke_orbit_code': 27022147553591888, 'target_is_minimal': False, 'target_label': '592.2.i.g.417.3', 'target_level': 592, 'twist_class_label': '296.2.i.b.121.1', 'twist_class_level': 296, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 35738557
    {'conductor': 37, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 121, 'source_dim': 6, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4504149416739112, 'source_is_minimal': True, 'source_label': '296.2.i.b.121.1', 'source_level': 296, 'target_conrey_index': 137, 'target_dim': 6, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4504149416739112, 'target_is_minimal': True, 'target_label': '296.2.i.b.137.1', 'target_level': 296, 'twist_class_label': '296.2.i.b.121.1', 'twist_class_level': 296, 'twisting_char_label': '37.26', 'twisting_conrey_index': 26, 'weight': 2}
  • id: 35738558
    {'conductor': 111, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 121, 'source_dim': 6, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4504149416739112, 'source_is_minimal': True, 'source_label': '296.2.i.b.121.1', 'source_level': 296, 'target_conrey_index': 433, 'target_dim': 6, 'target_embedding_index': 3, 'target_hecke_orbit_code': 36029965283625576, 'target_is_minimal': False, 'target_label': '2664.2.r.i.433.3', 'target_level': 2664, 'twist_class_label': '296.2.i.b.121.1', 'twist_class_level': 296, 'twisting_char_label': '111.26', 'twisting_conrey_index': 26, 'weight': 2}
  • id: 35738559
    {'conductor': 148, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 121, 'source_dim': 6, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4504149416739112, 'source_is_minimal': True, 'source_label': '296.2.i.b.121.1', 'source_level': 296, 'target_conrey_index': 433, 'target_dim': 6, 'target_embedding_index': 3, 'target_hecke_orbit_code': 27022147553591888, 'target_is_minimal': False, 'target_label': '592.2.i.g.433.3', 'target_level': 592, 'twist_class_label': '296.2.i.b.121.1', 'twist_class_level': 296, 'twisting_char_label': '148.63', 'twisting_conrey_index': 63, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 663200
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 4504149416739112, 'p': 2}
  • id: 663201
    {'charpoly_factorization': [[[16, 16, 24, 0, 8, 2, 1], 1]], 'hecke_orbit_code': 4504149416739112, 'p': 3}
  • id: 663202
    {'charpoly_factorization': [[[1, -5, 26, 3, 6, -1, 1], 1]], 'hecke_orbit_code': 4504149416739112, 'p': 5}
  • id: 663203
    {'charpoly_factorization': [[[16, 32, 56, 24, 12, -2, 1], 1]], 'hecke_orbit_code': 4504149416739112, 'p': 7}
  • id: 663204
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 4504149416739112, 'p': 11}
  • id: 663205
    {'charpoly_factorization': [[[4, -2, 1], 3]], 'hecke_orbit_code': 4504149416739112, 'p': 13}
  • id: 663206
    {'charpoly_factorization': [[[18769, 3973, 1526, 129, 54, 5, 1], 1]], 'hecke_orbit_code': 4504149416739112, 'p': 17}
  • id: 663207
    {'charpoly_factorization': [[[25600, 2560, 1536, 192, 80, 8, 1], 1]], 'hecke_orbit_code': 4504149416739112, 'p': 19}
  • id: 663208
    {'charpoly_factorization': [[[100, -16, -6, 1], 2]], 'hecke_orbit_code': 4504149416739112, 'p': 23}
  • id: 663209
    {'charpoly_factorization': [[[-25, -25, -3, 1], 2]], 'hecke_orbit_code': 4504149416739112, 'p': 29}
  • id: 663210
    {'charpoly_factorization': [[[32, 64, 16, 1], 2]], 'hecke_orbit_code': 4504149416739112, 'p': 31}
  • id: 663211
    {'charpoly_factorization': [[[50653, -20535, 5106, -1015, 138, -15, 1], 1]], 'hecke_orbit_code': 4504149416739112, 'p': 37}
  • id: 663212
    {'charpoly_factorization': [[[289, 85, 110, 9, 30, 5, 1], 1]], 'hecke_orbit_code': 4504149416739112, 'p': 41}
  • id: 663213
    {'charpoly_factorization': [[[-604, -60, 10, 1], 2]], 'hecke_orbit_code': 4504149416739112, 'p': 43}
  • id: 663214
    {'charpoly_factorization': [[[-32, -16, 4, 1], 2]], 'hecke_orbit_code': 4504149416739112, 'p': 47}
  • id: 663215
    {'charpoly_factorization': [[[64, -32, 64, 8, 40, -6, 1], 1]], 'hecke_orbit_code': 4504149416739112, 'p': 53}
  • id: 663216
    {'charpoly_factorization': [[[25600, -2560, 1536, -192, 80, -8, 1], 1]], 'hecke_orbit_code': 4504149416739112, 'p': 59}
  • id: 663217
    {'charpoly_factorization': [[[180625, 91375, 34750, 4955, 514, 27, 1], 1]], 'hecke_orbit_code': 4504149416739112, 'p': 61}
  • id: 663218
    {'charpoly_factorization': [[[4096, 5120, 6656, -192, 96, 4, 1], 1]], 'hecke_orbit_code': 4504149416739112, 'p': 67}
  • id: 663219
    {'charpoly_factorization': [[[67600, -24960, 9736, -328, 100, -2, 1], 1]], 'hecke_orbit_code': 4504149416739112, 'p': 71}
  • id: 663220
    {'charpoly_factorization': [[[-712, -132, 6, 1], 2]], 'hecke_orbit_code': 4504149416739112, 'p': 73}
  • id: 663221
    {'charpoly_factorization': [[[295936, 87040, 29952, -192, 224, 8, 1], 1]], 'hecke_orbit_code': 4504149416739112, 'p': 79}
  • id: 663222
    {'charpoly_factorization': [[[1607824, -218096, 37192, -1504, 208, -6, 1], 1]], 'hecke_orbit_code': 4504149416739112, 'p': 83}
  • id: 663223
    {'charpoly_factorization': [[[2512225, 223485, 40486, 1337, 310, 13, 1], 1]], 'hecke_orbit_code': 4504149416739112, 'p': 89}
  • id: 663224
    {'charpoly_factorization': [[[877, -109, -9, 1], 2]], 'hecke_orbit_code': 4504149416739112, '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': 9, 'hecke_orbit': 2, 'label': '296.2.i.b', 'level': 296, '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

  
  Showing the first 100 of 258 matching records in this table.
  • id: 23246809
    {'hecke_orbit_code': 4504149416739112, 'n': 1, 'trace_an': 6}
  • id: 23246810
    {'hecke_orbit_code': 4504149416739112, 'n': 2, 'trace_an': 0}
  • id: 23246811
    {'hecke_orbit_code': 4504149416739112, 'n': 3, 'trace_an': -2}
  • id: 23246812
    {'hecke_orbit_code': 4504149416739112, 'n': 4, 'trace_an': 0}
  • id: 23246813
    {'hecke_orbit_code': 4504149416739112, 'n': 5, 'trace_an': 1}
  • id: 23246814
    {'hecke_orbit_code': 4504149416739112, 'n': 6, 'trace_an': 0}
  • id: 23246815
    {'hecke_orbit_code': 4504149416739112, 'n': 7, 'trace_an': 2}
  • id: 23246816
    {'hecke_orbit_code': 4504149416739112, 'n': 8, 'trace_an': 0}
  • id: 23246817
    {'hecke_orbit_code': 4504149416739112, 'n': 9, 'trace_an': -3}
  • id: 23246818
    {'hecke_orbit_code': 4504149416739112, 'n': 10, 'trace_an': 0}
  • id: 23246819
    {'hecke_orbit_code': 4504149416739112, 'n': 11, 'trace_an': 0}
  • id: 23246820
    {'hecke_orbit_code': 4504149416739112, 'n': 12, 'trace_an': 0}
  • id: 23246821
    {'hecke_orbit_code': 4504149416739112, 'n': 13, 'trace_an': 6}
  • id: 23246822
    {'hecke_orbit_code': 4504149416739112, 'n': 14, 'trace_an': 0}
  • id: 23246823
    {'hecke_orbit_code': 4504149416739112, 'n': 15, 'trace_an': -10}
  • id: 23246824
    {'hecke_orbit_code': 4504149416739112, 'n': 16, 'trace_an': 0}
  • id: 23246825
    {'hecke_orbit_code': 4504149416739112, 'n': 17, 'trace_an': -5}
  • id: 23246826
    {'hecke_orbit_code': 4504149416739112, 'n': 18, 'trace_an': 0}
  • id: 23246827
    {'hecke_orbit_code': 4504149416739112, 'n': 19, 'trace_an': -8}
  • id: 23246828
    {'hecke_orbit_code': 4504149416739112, 'n': 20, 'trace_an': 0}
  • id: 23246829
    {'hecke_orbit_code': 4504149416739112, 'n': 21, 'trace_an': 0}
  • id: 23246830
    {'hecke_orbit_code': 4504149416739112, 'n': 22, 'trace_an': 0}
  • id: 23246831
    {'hecke_orbit_code': 4504149416739112, 'n': 23, 'trace_an': 12}
  • id: 23246832
    {'hecke_orbit_code': 4504149416739112, 'n': 24, 'trace_an': 0}
  • id: 23246833
    {'hecke_orbit_code': 4504149416739112, 'n': 25, 'trace_an': 4}
  • id: 23246834
    {'hecke_orbit_code': 4504149416739112, 'n': 26, 'trace_an': 0}
  • id: 23246835
    {'hecke_orbit_code': 4504149416739112, 'n': 27, 'trace_an': 16}
  • id: 23246836
    {'hecke_orbit_code': 4504149416739112, 'n': 28, 'trace_an': 0}
  • id: 23246837
    {'hecke_orbit_code': 4504149416739112, 'n': 29, 'trace_an': 6}
  • id: 23246838
    {'hecke_orbit_code': 4504149416739112, 'n': 30, 'trace_an': 0}
  • id: 23246839
    {'hecke_orbit_code': 4504149416739112, 'n': 31, 'trace_an': -32}
  • id: 23246840
    {'hecke_orbit_code': 4504149416739112, 'n': 32, 'trace_an': 0}
  • id: 23246841
    {'hecke_orbit_code': 4504149416739112, 'n': 33, 'trace_an': 0}
  • id: 23246842
    {'hecke_orbit_code': 4504149416739112, 'n': 34, 'trace_an': 0}
  • id: 23246843
    {'hecke_orbit_code': 4504149416739112, 'n': 35, 'trace_an': -2}
  • id: 23246844
    {'hecke_orbit_code': 4504149416739112, 'n': 36, 'trace_an': 0}
  • id: 23246845
    {'hecke_orbit_code': 4504149416739112, 'n': 37, 'trace_an': 15}
  • id: 23246846
    {'hecke_orbit_code': 4504149416739112, 'n': 38, 'trace_an': 0}
  • id: 23246847
    {'hecke_orbit_code': 4504149416739112, 'n': 39, 'trace_an': 4}
  • id: 23246848
    {'hecke_orbit_code': 4504149416739112, 'n': 40, 'trace_an': 0}
  • id: 23246849
    {'hecke_orbit_code': 4504149416739112, 'n': 41, 'trace_an': -5}
  • id: 23246850
    {'hecke_orbit_code': 4504149416739112, 'n': 42, 'trace_an': 0}
  • id: 23246851
    {'hecke_orbit_code': 4504149416739112, 'n': 43, 'trace_an': -20}
  • id: 23246852
    {'hecke_orbit_code': 4504149416739112, 'n': 44, 'trace_an': 0}
  • id: 23246853
    {'hecke_orbit_code': 4504149416739112, 'n': 45, 'trace_an': 22}
  • id: 23246854
    {'hecke_orbit_code': 4504149416739112, 'n': 46, 'trace_an': 0}
  • id: 23246855
    {'hecke_orbit_code': 4504149416739112, 'n': 47, 'trace_an': -8}
  • id: 23246856
    {'hecke_orbit_code': 4504149416739112, 'n': 48, 'trace_an': 0}
  • id: 23246857
    {'hecke_orbit_code': 4504149416739112, 'n': 49, 'trace_an': 1}
  • id: 23246858
    {'hecke_orbit_code': 4504149416739112, 'n': 50, 'trace_an': 0}
  • id: 23246859
    {'hecke_orbit_code': 4504149416739112, 'n': 51, 'trace_an': 12}
  • id: 23246860
    {'hecke_orbit_code': 4504149416739112, 'n': 52, 'trace_an': 0}
  • id: 23246861
    {'hecke_orbit_code': 4504149416739112, 'n': 53, 'trace_an': 6}
  • id: 23246862
    {'hecke_orbit_code': 4504149416739112, 'n': 54, 'trace_an': 0}
  • id: 23246863
    {'hecke_orbit_code': 4504149416739112, 'n': 55, 'trace_an': 0}
  • id: 23246864
    {'hecke_orbit_code': 4504149416739112, 'n': 56, 'trace_an': 0}
  • id: 23246865
    {'hecke_orbit_code': 4504149416739112, 'n': 57, 'trace_an': -8}
  • id: 23246866
    {'hecke_orbit_code': 4504149416739112, 'n': 58, 'trace_an': 0}
  • id: 23246867
    {'hecke_orbit_code': 4504149416739112, 'n': 59, 'trace_an': 8}
  • id: 23246868
    {'hecke_orbit_code': 4504149416739112, 'n': 60, 'trace_an': 0}
  • id: 23246869
    {'hecke_orbit_code': 4504149416739112, 'n': 61, 'trace_an': -27}
  • id: 23246870
    {'hecke_orbit_code': 4504149416739112, 'n': 62, 'trace_an': 0}
  • id: 23246871
    {'hecke_orbit_code': 4504149416739112, 'n': 63, 'trace_an': 36}
  • id: 23246872
    {'hecke_orbit_code': 4504149416739112, 'n': 64, 'trace_an': 0}
  • id: 23246873
    {'hecke_orbit_code': 4504149416739112, 'n': 65, 'trace_an': -2}
  • id: 23246874
    {'hecke_orbit_code': 4504149416739112, 'n': 66, 'trace_an': 0}
  • id: 23246875
    {'hecke_orbit_code': 4504149416739112, 'n': 67, 'trace_an': -4}
  • id: 23246876
    {'hecke_orbit_code': 4504149416739112, 'n': 68, 'trace_an': 0}
  • id: 23246877
    {'hecke_orbit_code': 4504149416739112, 'n': 69, 'trace_an': -24}
  • id: 23246878
    {'hecke_orbit_code': 4504149416739112, 'n': 70, 'trace_an': 0}
  • id: 23246879
    {'hecke_orbit_code': 4504149416739112, 'n': 71, 'trace_an': 2}
  • id: 23246880
    {'hecke_orbit_code': 4504149416739112, 'n': 72, 'trace_an': 0}
  • id: 23246881
    {'hecke_orbit_code': 4504149416739112, 'n': 73, 'trace_an': -12}
  • id: 23246882
    {'hecke_orbit_code': 4504149416739112, 'n': 74, 'trace_an': 0}
  • id: 23246883
    {'hecke_orbit_code': 4504149416739112, 'n': 75, 'trace_an': -24}
  • id: 23246884
    {'hecke_orbit_code': 4504149416739112, 'n': 76, 'trace_an': 0}
  • id: 23246885
    {'hecke_orbit_code': 4504149416739112, 'n': 77, 'trace_an': 0}
  • id: 23246886
    {'hecke_orbit_code': 4504149416739112, 'n': 78, 'trace_an': 0}
  • id: 23246887
    {'hecke_orbit_code': 4504149416739112, 'n': 79, 'trace_an': -8}
  • id: 23246888
    {'hecke_orbit_code': 4504149416739112, 'n': 80, 'trace_an': 0}
  • id: 23246889
    {'hecke_orbit_code': 4504149416739112, 'n': 81, 'trace_an': 1}
  • id: 23246890
    {'hecke_orbit_code': 4504149416739112, 'n': 82, 'trace_an': 0}
  • id: 23246891
    {'hecke_orbit_code': 4504149416739112, 'n': 83, 'trace_an': 6}
  • id: 23246892
    {'hecke_orbit_code': 4504149416739112, 'n': 84, 'trace_an': 0}
  • id: 23246893
    {'hecke_orbit_code': 4504149416739112, 'n': 85, 'trace_an': 2}
  • id: 23246894
    {'hecke_orbit_code': 4504149416739112, 'n': 86, 'trace_an': 0}
  • id: 23246895
    {'hecke_orbit_code': 4504149416739112, 'n': 87, 'trace_an': 18}
  • id: 23246896
    {'hecke_orbit_code': 4504149416739112, 'n': 88, 'trace_an': 0}
  • id: 23246897
    {'hecke_orbit_code': 4504149416739112, 'n': 89, 'trace_an': -13}
  • id: 23246898
    {'hecke_orbit_code': 4504149416739112, 'n': 90, 'trace_an': 0}
  • id: 23246899
    {'hecke_orbit_code': 4504149416739112, 'n': 91, 'trace_an': -4}
  • id: 23246900
    {'hecke_orbit_code': 4504149416739112, 'n': 92, 'trace_an': 0}
  • id: 23246901
    {'hecke_orbit_code': 4504149416739112, 'n': 93, 'trace_an': 32}
  • id: 23246902
    {'hecke_orbit_code': 4504149416739112, 'n': 94, 'trace_an': 0}
  • id: 23246903
    {'hecke_orbit_code': 4504149416739112, 'n': 95, 'trace_an': 0}
  • id: 23246904
    {'hecke_orbit_code': 4504149416739112, 'n': 96, 'trace_an': 0}
  • id: 23246905
    {'hecke_orbit_code': 4504149416739112, 'n': 97, 'trace_an': 18}
  • id: 23246906
    {'hecke_orbit_code': 4504149416739112, 'n': 98, 'trace_an': 0}
  • id: 23246907
    {'hecke_orbit_code': 4504149416739112, 'n': 99, 'trace_an': 0}
  • id: 23246908
    {'hecke_orbit_code': 4504149416739112, 'n': 100, 'trace_an': 0}