Embedded newform data - 99.2.e.b.34.1

Formats: - HTML - YAML - JSON - 2026-10-22T19:56:17.692004

• 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': 396, 'analytic_conductor': 0.7905189800106758, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 9, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 5, 'char_orbit_label': 'e', 'char_order': 3, 'char_parity': 1, 'char_values': [99, 3, [56, 46], [2, 3]], 'cm_discs': [], 'conrey_index': 34, 'dim': 2, 'field_disc': -3, 'field_disc_factorization': [[-1, 1], [3, 1]], 'field_poly': [1, -1, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 6, 'has_non_self_twist': 1, 'hecke_cutters': [[2, [0, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4503874538831971, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 9, 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': '99.2.e.b', 'level': 99, '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': [3, 11], 'level_radical': 33, 'minimal_twist': '99.2.e.b', 'nf_label': '2.0.3.1', 'prim_orbit_index': 3, 'qexp_display': 'q+(-1-\\zeta_{6})q^{3}+2\\zeta_{6}q^{4}+3\\zeta_{6}q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c3', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '99.2.e', 'trace_display': [0, -3, 3, 4], 'trace_hash': 1237378157383703601, 'trace_moments': [0, {'__RealLiteral__': 0, 'data': '1.975', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.173', 'prec': 10}, {'__RealLiteral__': 0, 'data': '11.550', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.520', 'prec': 14}, {'__RealLiteral__': 0, 'data': '104.381', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.014', 'prec': 7}, 'traces': [2, 0, -3, 2, 3, 0, 4, 0, 3, 0, -1, 0, -2, 0, 0, -4, -12, 0, 4, -6, -12, 0, -3, 0, -4, 0, 0, 16, 6, 0, -8, 0, 3, 0, 24, -6, 4, 0, 0, 0, 0, 0, -8, -4, -9, 0, -3, 12, -9, 0, 18, 4, 6, 0, -6, 0, -6, 0, 0, 18, -8, 0, 24, -16, 6, 0, 13, -12, 0, 0, 0, 0, 4, 0, 12, 4, 4, 0, -2, -24, -9, 0, 18, -24, -18, 0, -18, 0, 6, 0, -16, 6, 0, 0, 6, 0, -2, 0, -6, -16, -6, 0, -5, 0, -36, 0, -24, 18, 28, 0, -6, 16, 6, 0, 9, 24, 6, 0, -24, 0, -1, 0, 0, 16, 6, 0, -8, 0, 24, 0, -18, 6, 8, 0, 27, 0, -18, 0, 10, 24, 9, 0, 4, -24, 36, 0, 0, 4, 12, 0, -8, 0, -18, 0, 24, -12, 7, 0, -9, 0, -24, 0, -2, 0, 9, 0, -18, 0, 9, 0, 6, -32, -18, 0, 16, -4, 0, 0, 30, -36, -2, 0, 24, 0, 6, 0, 6, -12, -36, 0, -3, 24, 4, 0, -18, 18, 36, 0, 22, 0, 0, 0, -24, 0, 0, 0, 9, 16, -2, 0, 4, 6, 0, 0, -48, 0, -64, 0, -6, -6, 12, 0, -11, 0, -24, 0, -18, 0, -23, 0, 0, 0, -12, 0, -18, 0, 6, 0, 12, 36, -2, 0, 27, -32, 27, 0, -4, 0, -54, 0, -30, 24, 6, 0, 0, -16, -6, 0, 8, 24, 36, 0, 24, 0, 9, 0, -9, -26, 54, 0, 4, 24, 24, 0, -4, -18, -2, 0, 24, 0, 12, 0, 10, 0, 0, 0, 0, 0, 38, 0, 6, 4, -6, 0, 0, 0, 9, 0, -6, 24, 32, 0, 18, -8, -48, 0, -32, -8, 0, 0, 3, 0, -11, 0, 36, -8, 27, 0, 6, -24, 36, 0, -24, -36, 16, 0, -42, 0, 12, 0, -29, 72, 6, 0, -39, 0, -32, 0, 0, 36, 16, 0, -16, 0, -27, 0, -12, -36, 28, 0, -18, 0, -15, 0, 0, 6, 72, 0, -12, 0, -30, 0, 0, -16, 6, 0, 19, 24, 0, 0, 12, -48, -8, 0, -9, 0, -24, 0, -26, -12, 12, 0, 27, 0, -12, 0, -48, -8, -30, 0, 18, 0, 0, 0, -12, -6, 34, 0, -24, -16, -21, 0, -16, -24, -54, 0, -2, 0, -32, 0, 54, 10, 0, 0, 108, 0, 0, 0, 21, 0, 7, 0, -18, 0, 24, 0, 32, -24, -6, 0, -24, 36, 34, 0, -54, 28, -6, 0, -26, 0, 27, 0, -12, 0, 9, 0, 0, -32, 60, 0, 0, -12, 24, 0, -24, 0, 10, 0, 0, 36, -30, 0, -29, 24, -72, 0, 30, 24, 104, 0, 0, 0, -8, 0, -8, -96, 9, 0, 6, 0, -4, 0, 36, 2, -12, 0, 16, 0, 3, 0, 30, 0, -36, 0, -9, 64, 0, 0, -41, 6, 0, 0, 12, 0, -36, 0, -27, -8, 9, 0, 8, 0, 0, 0, 15, 48, -3, 0, 54, 0, 84, 0, -68, 36, 0, 0, 48, 0, 14, 0, 0, 32, 0, 0, -36, 0, -45, 0, 18, 54, 28, 0, 3, 0, 42, 0, 28, -72, -48, 0, 12, 0, 8, 0, 0, -20, -60, 0, 32, -48, -18, 0, -24, 18, -18, 0, 36, 0, 42, 0, -20, 4, 9, 0, 24, -24, -14, 0, 0, 36, -72, 0, -3, 0, 36, 0, 3, -54, -16, 0, -54, -8, -72, 0, -144, -24, -33, 0, -24, 0, 40, 0, -39, -32, 3, 0, 28, 0, 0, 0, 12, 36, -32, 0, 0, 0, -9, 0, -44, 96, -27, 0, 12, -24, 29, 0, 6, -14, -24, 0, -62, 0, 0, 0, -12, 0, -18, 0, 0, 0, 33, 0, 31, -24, 72, 0, 42, 0, 0, 0, 96, -2, -18, 0, 54, 0, 6, 0, 24, 0, -14, 0, 0, 0, 48, 0, -36, 36, 33, 0, -8, 0, 34, 0, 36, 36, -36, 0, 8, 0, 54, 0, 30, -12, -108, 0, 0, -32, -6, 0, 25, -72, -12, 0, -30, 0, 0, 0, 18, -32, 72, 0, 8, 8, 27, 0, 24, 0, -23, 0, -12, 0, -24, 0, 6, 30, 0, 0, -6, -36, -40, 0, 6, -2, 24, 0, 28, 0, -54, 0, 48, 48, 40, 0, -81, 0, -26, 0, -20, -12, 0, 0, 6, 0, -36, 0, 108, 24, -48, 0, 16, -12, 45, 0, -48, 0, 58, 0, -9, 0, -12, 0, 56, -12, 54, 0, 0, 0, -8, 0, 0, -8, 36, 0, 64, 0, -24, 0, 0, -36, 0, 0, -54, 72, -21, 0, -32, 36, -72, 0, 48, 0, 32, 0, 0, 22, -30, 0, 18, 0, 9, 0, -2, 78, -36, 0, -81, 0, -12, 0, 16, 48, -6, 0, -3, -72, -16, 0, -24, 0, -12, 0, 49, 0, 0, 0, 36, 36, -14, 0, 6, 16, 54, 0, 54, -8, -72, 0, -15, 0, -7, 0, -36, -8, 54, 0, -8, -12, 0, 0, -6, 0, -44, 0, -18, 0, 12, 0, 13, -48, 0, 0, -72, 0, -108, 0, -57, -64, -2, 0, 26, 0, -12, 0, 12, 0, 40, 0, 0, 12, -78, 0, 10, -24, 0, 0, 30, 0, -16, 0, -9, -44, -6, 0, 45, 0, 18, 0, -96, -24, -36, 0, 0, 0, -3, 0, 28, -72, -36, 0, 15, 24, 18, 0, 72, 46, -144, 0, 112, 0, 48, 0, 0, 24, -8, 0, 15, 0, -21, 0, -18, -12, 0, 0, 36, 0, -56, 0, 33, -18, 54, 0, 0, 0, 0, 0, -3, 12, -4, 0, -81, 0, 12, 0, -18, -24, 0, 0, 72, 0, -33, 0, -36, -8, -12, 0, 40, 0, 36, 0, 54, 54, 80, 0, -24, -32, -45, 0, -3, 108, 42, 0, 0, 0, 54, 0, 0, 8, 48, 0, -32, 0, 87, 0, 33, -108, 10, 0, 0, 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], [-0.8660254037844386, -0.5], [0.5, 0.8660254037844386], [0.6708203932499369, 1.161895003862225], [0.0, 0.0], [0.7559289460184545, -1.3093073414159544], [0.0, 0.0], [0.5, 0.8660254037844386], [0.0, 0.0], [-0.15075567228888181, 0.26111648393354675], [0.0, -1.0], [-0.2773500981126146, -0.4803844614152614], [0.0, 0.0], [0.0, -1.3416407864998738], [-0.5, 0.8660254037844386], [-1.4552137502179978, 0.0], [0.0, 0.0], [0.45883146774112354, 0.0], [-0.6708203932499369, 1.161895003862225], [-1.3093073414159544, 0.7559289460184545], [0.0, 0.0], [-0.31277162108561213, -0.5417363388859614], [0.0, 0.0], [-0.4, 0.6928203230275509], [0.0, 0.0], [0.0, -1.0], [1.511857892036909, 0.0], [0.5570860145311556, -0.9649012813540153], [0.0, 0.0], [-0.7184212081070996, -1.2443420336765103], [0.0, 0.0], [0.26111648393354675, -0.15075567228888181], [0.0, 0.0], [2.02837021134844, 0.0], [-0.5, 0.8660254037844386], [0.3287979746107146, 0.0], [0.0, 0.0], [0.0, 0.5547001962252291], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.6099942813304187, 1.0565410875907486], [-0.30151134457776363, 0.0], [-0.6708203932499369, 1.161895003862225], [0.0, 0.0], [-0.21879748724684184, 0.37896836447993354], [0.8660254037844386, -0.5], [-0.6428571428571429, -1.1134612334371354], [0.0, 0.0], [1.260252075625209, 0.7276068751089989], [0.2773500981126146, -0.4803844614152614], [0.4120816918460671, 0.0], [0.0, 0.0], [-0.40451991747794525, 0.0], [0.0, 0.0], [-0.39735970711951313, -0.22941573387056177], [0.0, 0.0], [0.0, 0.0], [1.161895003862225, -0.6708203932499369], [-0.5121475197315839, 0.8870655251454874], [0.0, 0.0], [1.511857892036909, 0.0], [-1.0, 0.0], [0.3721042037676254, -0.6445033866354896], [0.0, 0.0], [0.794101388315984, 1.3754239509242667], [-0.7276068751089989, -1.260252075625209], [0.0, 0.6255432421712243], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.23408229439226114, 0.0], [0.0, 0.0], [0.6928203230275509, -0.4], [0.22941573387056177, 0.39735970711951313], [0.2279211529192759, 0.39477101697586137], [0.0, 0.0], [-0.1125087900926024, 0.19487094073848926], [-1.3416407864998738, 0.0], [-0.5, 0.8660254037844386], [0.0, 0.0], [0.9878783399072131, -1.7110554764160903], [-1.3093073414159544, -0.7559289460184545], [-0.9761870601839527, -1.6908055859299036], [0.0, 0.0], [-0.9649012813540153, 0.5570860145311556], [0.0, 0.0], [0.317999364001908, 0.0], [0.0, 0.0], [-0.8386278693775346, 0.0], [0.31277162108561213, -0.5417363388859614], [0.0, 1.4368424162141993], [0.0, 0.0], [0.30779350562554625, 0.5331139899831832], [0.0, 0.0], [-0.1015346165133619, 0.17586311452816475], [0.0, 0.0], [-0.30151134457776363, 0.0], [-0.8, 0.0]], 'angles': [-0.4166666666666667, None, 0.033695596559351684, -0.2802594295809192, None, -0.12806142708885004, -0.3796837315047693, -0.21315923331026432, -0.1339620580192634, -0.3226263477427208, -0.45576587271496033, -0.22371577164437328, -0.08333333333333333, 0.18774747074715262, -0.45177337071745066, -0.2169710112189162, -0.08333333333333333, 0.16890828088084772, 0.06269572700632657, -0.25, -0.23132952961286263, -0.434610990640161, -0.19147261621083753, -0.22458655842343894, -0.4328542982560856, -0.4649116713775616, -0.12294606484470355, -0.3484819145929012, -0.13304444816751249, -0.03779854807025155, -0.27839584667807005, -0.43932168482961, 0.2229365948905304, -0.013629557104472381, -0.0015505669919230942, -0.46943556183033486, -0.03827709573950642, -0.2562345830176221, -0.4607162484639161, 0.2032700784790716, -0.1552898237362233, -0.255916309360364, -0.43397483405345, -0.06034099409395626, -0.13921358420014895, -0.18625743618683757, -0.06135014315247466, -0.47669793974752434, 0.18522336180607804, -0.44594713533515523, -0.28148471573097256, -0.01989775453492735, -0.42692584101203235, -0.3284859782585895, -0.1132934022729155, -0.28409082987760376, -0.09611863394317353, -0.2403260699651091, -0.4262351235020255, -0.35840798879058383, -0.035303735865297226, -0.11137193821529627, -0.3254636263164496, -0.06977968360335662, -0.46697826038407864, -0.2796975193566508, 0.23012172090154856, -0.41488264872997577, -0.1355271738096858, -0.28183701487349366, -0.4820200593765748, -0.27530612666560633, -0.33408653181480874, -0.11653658409315398, -0.30417945031045235, 0.03782134995520901, 0.22086377936705143, -0.17985512263892667, -0.49548845014119797, -0.43807493042985296, 0.0023919448314426274, -0.3893846729172941, -0.29666301474726053, -0.18302879644914044, 0.1898595901783007, -0.4626748593144626, -0.1248227671774298, -0.3790938637216231, 0.20643434141852904, -0.46564825794219666, -0.19359024518425685, -0.39478184051380877, -0.2209916593318652, 0.035013958064888044, -0.39835280259415606, -0.22864689241708566, -0.051374099388092676, -0.06408337165369639, -0.3833840699096621, -0.20134755023832956], 'char_orbit_index': 5, 'conrey_index': 34, 'dual_conrey_index': 67, 'dual_embedding_index': 1, 'dual_embedding_m': 2, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.8660254037844386, 'embedding_root_real': 0.5, 'hecke_orbit': 2, 'hecke_orbit_code': 4503874538831971, 'label': '99.2.e.b.34.1', 'level': 99, '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': 396, 'analytic_conductor': 0.7905189800106758, 'char_conductor': 9, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 5, 'char_orbit_label': 'e', 'char_order': 3, 'char_parity': 1, 'char_values': [99, 3, [56, 46], [2, 3]], 'conrey_index': 34, 'cusp_dim': 20, 'dim': 20, 'eis_dim': 8, 'eis_new_dim': 0, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 274911461475, 'hecke_orbit_dims': [2, 2, 2, 6, 8], 'label': '99.2.e', 'level': 99, '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': [3, 11], 'level_radical': 33, 'mf_dim': 28, 'mf_new_dim': 20, 'num_forms': 5, 'prim_orbit_index': 3, 'relative_dim': 10, 'sturm_bound': 24, 'trace_bound': 2, 'trace_display': [0, -1, -3, -2], 'traces': [20, 0, -1, -10, -3, 2, -2, -12, -5, 0, -4, -2, -2, 6, 8, -10, -12, 4, 4, 6, -4, 0, -6, 18, -7, 48, -22, 16, 12, -22, -5, 12, 2, -12, 0, 26, -2, -30, -40, -12, 12, 26, -8, 20, 19, 0, 6, -50, 0, -6, -34, 10, -12, -28, -6, -12, 18, 18, -27, 88, -2, -60, 52, 8, 18, -10, -11, -18, -29, 12, 66, 84, 28, 54, 37, -20, -8, -10, -2, -96, 7, 12, 0, 22, -24, 36, 0, 0, -12, -128, 44, -54, 29, 30, 36, -68, -23, 36, -5, -4, -6, -22, -2, -90, -34, -6, -60, -62, 16, -12, -36, 10, 39, 48, 15, -12, 40, -60, -24, 54, -10, -6, 62, -2, 90, -134, -32, 66, 18, 0, 12, 28, -16, 84, 83, -12, -75, -14, -8, 96, -38, 42, 40, 32, -12, 48, 3, 34, 18, -56, -14, -24, -56, 0, 36, 94, -17, -66, 39, 18, -60, 136, -56, 6, 11, 42, -30, -78, -24, 180, 66, -44, 6, -6, 28, -22, 1, 30, -42, -76, -2, 42, 12, 30, -48, -34, 0, -24, -118, -108, -27, 32, -14, 84, -148, 48, -72, -38, 52, -114, 52, 18, -72, -98, 54, -240, 44, -68, -20, 20, 22, 60, 42, 12, -132, 96, 32, 36, -64, 12, 18, 90, 28, 156, -139, -48, 12, -30, -2, -66, 8, 78, 72, 88, 6, -90, -20, 66, 54, 58, -2, 0, 29, 64, 75, 26, -34, 66, -96, 6, 132, 56, 36, -42, -28, -46, -24, 234, -34, -132, 150, 0, 24, 12, 3, -126, -105, 16, 180, 98, -44, 132, 92, 48, -19, -118, -44, -84, -53, -96, 66, -32, 28, 18, 36, 0, -12, -214, -16, -48, 13, -44, 30, -60, 18, -36, -34, -168, -6, -40, 8, -60, -68, -128, -48, -50, 40, -14, 7, -24, 6, 72, -32, -96, 82, 40, -54, 72, 0, 6, 156, -6, -96, -286, 172, 30, 2, -6, 66, 56, -35, 396, -12, 12, -105, 4, -38, 144, -33, -72, 46, 0, 32, 66, 73, -30, 102, -24, -14, -72, 38, -60, 84, 106, 54, -24, 110, 54, -72, 216, 24, -102, -1, -106, -96, -66, 25, 324, 52, 84, 60, -146, -68, -12, 87, -24, -144, -112, 64, 114, -86, -48, -93, 6, 0, 120, -66, 256, -57, -10, 36, -12, -174, -60, -24, -52, 4, -180, -78, 62, -90, -200, 50, -360, 16, 144, -23, -42, -56, 102, 85, 34, -96, 128, -108, -30, -100, -12, 42, 142, -32, -36, -139, -48, 18, -150, 26, -114, 8, -18, 84, 214, 64, -72, -24, -14, -24, 200, 46, 12, -12, -132, -3, 54, 3, 78, -20, -14, 102, 98, 0, 36, -116, -54, 12, 210, -20, -168, 104, 24, 48, 20, 64, -108, -64, -78, 210, 122, 68, 180, 34, 48, -2, -104, 34, -156, -171, 12, 108, -92, -22, 42, 124, -10, -192, -34, -194, 0, 65, -72, 72, -110, -18, 192, -35, 244, -126, -90, -44, -132, 48, 156, -60, -54, -48, 0, -54, 4, 30, 32, 14, -240, 90, 252, -87, 30, 30, 30, 204, 42, 66, -168, -164, 120, 52, -18, 24, 70, 80, 324, 167, 68, -84, 66, 78, 108, -153, -72, 48, -26, -20, 78, 77, -72, 108, -112, 22, 72, -72, 72, -18, -174, -16, -36, 24, -140, 144, 166, -4, -78, 50, 72, 18, -22, -18, 72, 46, -156, -42, -246, 28, -2, 175, -24, 78, -152, -62, -48, 26, 78, -72, -158, 12, -72, -26, -108, 78, 78, -64, -18, -208, -14, -120, -28, -288, -102, 9, -120, -78, -204, -128, -252, 83, 28, -3, 196, 64, 120, 102, -84, -156, 170, 88, 60, -184, 0, 90, -38, -23, 48, -164, 228, 60, -116, 32, -18, -24, -146, -24, 88, -194, -72, 36, -144, 0, 102, -90, -24, -66, 60, 66, 138, 4, -12, 48, -12, 276, -96, -30, 6, 8, 160, -21, 230, 150, 12, 88, 132, -24, -14, -143, -222, -76, 66, 180, 36, 48, 78, 194, -150, -44, -62, 82, -84, -107, 252, 108, -54, -46, 12, 144, 0, -216, -174, 228, 12, 63, 184, -42, 22, 7, 240, -26, 144, 36, 72, 54, -84, 96, -2, 36, -16, -76, -10, -23, -12, -12, 32, 55, -60, -34, -336, -45, 236, -24, -36, 138, -24, -18, -118, -64, -54, 200, -116, 138, 8, -5, 168, -86, -84, -102, 126, -50, 192, -165, 222, 10, 112, -56, -30, -78, 156, 0, -144, -6, -420, 126, 0, 12, 102, 1, 24, -73, 30, -204, 64, 16, -84, -5, 102, -6, -104, -16, -36, 10, 72, 48, 98, 82, 24, -4, 28, -120, 72, -38, 42, -102, -36, -132, -158, -9, 156, -84, -216, -9, -48, -2, 120, -104, 90, -96, -30, 188, -54, -174, 34, -87, -210, 108, -72, -165, -216, -26, 80, 42, -54, -61, -48, -48, 40, 88, 72, 40, 24, 21, -26, 32, 204, -62, -312, -96, -176, 106, -12, -41, 168, -12, 76, 94, 0, -154, 178, -84, 212, 66, 40, -49, 144, -66, -12, 38, 24, -72, 52, 222, 32, 4, -12, 26, -90, 3, 42, -110, -12, 48, -156, 204, -76, 73, -60, -16, 114, 48, 190, -252, 168, -41, -46, -20, -162, -16, -228, 101, -240, 0, 130, 82, 180, 240, 30, 30, 90, -68, -102, 130, 0, 42, -24, 2, 360, 34, -464, 12, 172, 15, 42, 202, -216, 180, 82, -48, 36, -120, -18, 51, -158, -8, 180, 2, -156, -66, -30, 0, -144, 114, -14, 24, -28, 232, -36, 34, 108, -42, 34, -119, 48, 146, 0, 0, 86, -48, 96, -141, -210, 60, 114, -140, 78, -98, -18, 126, -92, 78, -216, -160, -96, 75, 230, 80, 0, -4, 126, -108, -126, 90, 0, 84, -240, 222, -40, 81, -300, -102, 208, -96, -200, -26, 6, -66, -48, 228, -74, 272, -192, 190, -122, -102, -430, -18, 84, -140, 336, -27, -90, 108, 12, -68, -40, -324, -2, 76, 18, 239, 42, -39, 84, -26, -156, -36, 96], '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: 35010714
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 34, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503874538831971, 'source_is_minimal': True, 'source_label': '99.2.e.b.34.1', 'source_level': 99, 'target_conrey_index': 34, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503874538831971, 'target_is_minimal': True, 'target_label': '99.2.e.b.34.1', 'target_level': 99, 'twist_class_label': '99.2.e.b.34.1', 'twist_class_level': 99, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 35010715
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 34, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503874538831971, 'source_is_minimal': True, 'source_label': '99.2.e.b.34.1', 'source_level': 99, 'target_conrey_index': 100, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503874538832169, 'target_is_minimal': False, 'target_label': '297.2.e.b.100.1', 'target_level': 297, 'twist_class_label': '99.2.e.b.34.1', 'twist_class_level': 99, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 35010716
    {'conductor': 9, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 34, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503874538831971, 'source_is_minimal': True, 'source_label': '99.2.e.b.34.1', 'source_level': 99, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014398543037307, 'target_is_minimal': False, 'target_label': '891.2.a.e.1.1', 'target_level': 891, 'twist_class_label': '99.2.e.b.34.1', 'twist_class_level': 99, 'twisting_char_label': '9.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 35010717
    {'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 34, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503874538831971, 'source_is_minimal': True, 'source_label': '99.2.e.b.34.1', 'source_level': 99, 'target_conrey_index': 67, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503874538831971, 'target_is_minimal': True, 'target_label': '99.2.e.b.67.1', 'target_level': 99, 'twist_class_label': '99.2.e.b.34.1', 'twist_class_level': 99, 'twisting_char_label': '9.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 35010718
    {'conductor': 9, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 34, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503874538831971, 'source_is_minimal': True, 'source_label': '99.2.e.b.34.1', 'source_level': 99, 'target_conrey_index': 199, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503874538832169, 'target_is_minimal': False, 'target_label': '297.2.e.b.199.1', 'target_level': 297, 'twist_class_label': '99.2.e.b.34.1', 'twist_class_level': 99, 'twisting_char_label': '9.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 35010719
    {'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 34, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503874538831971, 'source_is_minimal': True, 'source_label': '99.2.e.b.34.1', 'source_level': 99, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510798915666811, 'target_is_minimal': False, 'target_label': '891.2.a.d.1.1', 'target_level': 891, 'twist_class_label': '99.2.e.b.34.1', 'twist_class_level': 99, 'twisting_char_label': '9.7', 'twisting_conrey_index': 7, 'weight': 2}
  • id: 35010720
    {'conductor': 11, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 34, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503874538831971, 'source_is_minimal': True, 'source_label': '99.2.e.b.34.1', 'source_level': 99, 'target_conrey_index': 727, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503874538832961, 'target_is_minimal': False, 'target_label': '1089.2.e.b.727.1', 'target_level': 1089, 'twist_class_label': '99.2.e.b.34.1', 'twist_class_level': 99, 'twisting_char_label': '11.10', 'twisting_conrey_index': 10, 'weight': 2}
  • id: 35010721
    {'conductor': 99, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 34, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503874538831971, 'source_is_minimal': True, 'source_label': '99.2.e.b.34.1', 'source_level': 99, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22517998170416713, 'target_is_minimal': False, 'target_label': '9801.2.a.f.1.1', 'target_level': 9801, 'twist_class_label': '99.2.e.b.34.1', 'twist_class_level': 99, 'twisting_char_label': '99.43', 'twisting_conrey_index': 43, 'weight': 2}
  • id: 35010722
    {'conductor': 99, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 34, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503874538831971, 'source_is_minimal': True, 'source_label': '99.2.e.b.34.1', 'source_level': 99, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021597797787209, 'target_is_minimal': False, 'target_label': '9801.2.a.g.1.1', 'target_level': 9801, 'twist_class_label': '99.2.e.b.34.1', 'twist_class_level': 99, 'twisting_char_label': '99.65', 'twisting_conrey_index': 65, 'weight': 2}
  • id: 35010723
    {'conductor': 99, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 34, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503874538831971, 'source_is_minimal': True, 'source_label': '99.2.e.b.34.1', 'source_level': 99, 'target_conrey_index': 364, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503874538832961, 'target_is_minimal': False, 'target_label': '1089.2.e.b.364.1', 'target_level': 1089, 'twist_class_label': '99.2.e.b.34.1', 'twist_class_level': 99, 'twisting_char_label': '99.76', 'twisting_conrey_index': 76, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 294900
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4503874538831971, 'p': 2}
  • id: 294901
    {'charpoly_factorization': [[[3, 3, 1], 1]], 'hecke_orbit_code': 4503874538831971, 'p': 3}
  • id: 294902
    {'charpoly_factorization': [[[9, -3, 1], 1]], 'hecke_orbit_code': 4503874538831971, 'p': 5}
  • id: 294903
    {'charpoly_factorization': [[[16, -4, 1], 1]], 'hecke_orbit_code': 4503874538831971, 'p': 7}
  • id: 294904
    {'charpoly_factorization': [[[1, 1, 1], 1]], 'hecke_orbit_code': 4503874538831971, 'p': 11}
  • id: 294905
    {'charpoly_factorization': [[[4, 2, 1], 1]], 'hecke_orbit_code': 4503874538831971, 'p': 13}
  • id: 294906
    {'charpoly_factorization': [[[6, 1], 2]], 'hecke_orbit_code': 4503874538831971, 'p': 17}
  • id: 294907
    {'charpoly_factorization': [[[-2, 1], 2]], 'hecke_orbit_code': 4503874538831971, 'p': 19}
  • id: 294908
    {'charpoly_factorization': [[[9, 3, 1], 1]], 'hecke_orbit_code': 4503874538831971, 'p': 23}
  • id: 294909
    {'charpoly_factorization': [[[36, -6, 1], 1]], 'hecke_orbit_code': 4503874538831971, 'p': 29}
  • id: 294910
    {'charpoly_factorization': [[[64, 8, 1], 1]], 'hecke_orbit_code': 4503874538831971, 'p': 31}
  • id: 294911
    {'charpoly_factorization': [[[-2, 1], 2]], 'hecke_orbit_code': 4503874538831971, 'p': 37}
  • id: 294912
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4503874538831971, 'p': 41}
  • id: 294913
    {'charpoly_factorization': [[[64, 8, 1], 1]], 'hecke_orbit_code': 4503874538831971, 'p': 43}
  • id: 294914
    {'charpoly_factorization': [[[9, 3, 1], 1]], 'hecke_orbit_code': 4503874538831971, 'p': 47}
  • id: 294915
    {'charpoly_factorization': [[[-3, 1], 2]], 'hecke_orbit_code': 4503874538831971, 'p': 53}
  • id: 294916
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4503874538831971, 'p': 59}
  • id: 294917
    {'charpoly_factorization': [[[64, 8, 1], 1]], 'hecke_orbit_code': 4503874538831971, 'p': 61}
  • id: 294918
    {'charpoly_factorization': [[[169, -13, 1], 1]], 'hecke_orbit_code': 4503874538831971, 'p': 67}
  • id: 294919
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4503874538831971, 'p': 71}
  • id: 294920
    {'charpoly_factorization': [[[-2, 1], 2]], 'hecke_orbit_code': 4503874538831971, 'p': 73}
  • id: 294921
    {'charpoly_factorization': [[[4, 2, 1], 1]], 'hecke_orbit_code': 4503874538831971, 'p': 79}
  • id: 294922
    {'charpoly_factorization': [[[324, -18, 1], 1]], 'hecke_orbit_code': 4503874538831971, 'p': 83}
  • id: 294923
    {'charpoly_factorization': [[[-3, 1], 2]], 'hecke_orbit_code': 4503874538831971, 'p': 89}
  • id: 294924
    {'charpoly_factorization': [[[4, 2, 1], 1]], 'hecke_orbit_code': 4503874538831971, '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': 5, 'hecke_orbit': 2, 'label': '99.2.e.b', 'level': 99, 'portrait': 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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: 21964033
    {'hecke_orbit_code': 4503874538831971, 'n': 1, 'trace_an': 2}
  • id: 21964034
    {'hecke_orbit_code': 4503874538831971, 'n': 2, 'trace_an': 0}
  • id: 21964035
    {'hecke_orbit_code': 4503874538831971, 'n': 3, 'trace_an': -3}
  • id: 21964036
    {'hecke_orbit_code': 4503874538831971, 'n': 4, 'trace_an': 2}
  • id: 21964037
    {'hecke_orbit_code': 4503874538831971, 'n': 5, 'trace_an': 3}
  • id: 21964038
    {'hecke_orbit_code': 4503874538831971, 'n': 6, 'trace_an': 0}
  • id: 21964039
    {'hecke_orbit_code': 4503874538831971, 'n': 7, 'trace_an': 4}
  • id: 21964040
    {'hecke_orbit_code': 4503874538831971, 'n': 8, 'trace_an': 0}
  • id: 21964041
    {'hecke_orbit_code': 4503874538831971, 'n': 9, 'trace_an': 3}
  • id: 21964042
    {'hecke_orbit_code': 4503874538831971, 'n': 10, 'trace_an': 0}
  • id: 21964043
    {'hecke_orbit_code': 4503874538831971, 'n': 11, 'trace_an': -1}
  • id: 21964044
    {'hecke_orbit_code': 4503874538831971, 'n': 12, 'trace_an': 0}
  • id: 21964045
    {'hecke_orbit_code': 4503874538831971, 'n': 13, 'trace_an': -2}
  • id: 21964046
    {'hecke_orbit_code': 4503874538831971, 'n': 14, 'trace_an': 0}
  • id: 21964047
    {'hecke_orbit_code': 4503874538831971, 'n': 15, 'trace_an': 0}
  • id: 21964048
    {'hecke_orbit_code': 4503874538831971, 'n': 16, 'trace_an': -4}
  • id: 21964049
    {'hecke_orbit_code': 4503874538831971, 'n': 17, 'trace_an': -12}
  • id: 21964050
    {'hecke_orbit_code': 4503874538831971, 'n': 18, 'trace_an': 0}
  • id: 21964051
    {'hecke_orbit_code': 4503874538831971, 'n': 19, 'trace_an': 4}
  • id: 21964052
    {'hecke_orbit_code': 4503874538831971, 'n': 20, 'trace_an': -6}
  • id: 21964053
    {'hecke_orbit_code': 4503874538831971, 'n': 21, 'trace_an': -12}
  • id: 21964054
    {'hecke_orbit_code': 4503874538831971, 'n': 22, 'trace_an': 0}
  • id: 21964055
    {'hecke_orbit_code': 4503874538831971, 'n': 23, 'trace_an': -3}
  • id: 21964056
    {'hecke_orbit_code': 4503874538831971, 'n': 24, 'trace_an': 0}
  • id: 21964057
    {'hecke_orbit_code': 4503874538831971, 'n': 25, 'trace_an': -4}
  • id: 21964058
    {'hecke_orbit_code': 4503874538831971, 'n': 26, 'trace_an': 0}
  • id: 21964059
    {'hecke_orbit_code': 4503874538831971, 'n': 27, 'trace_an': 0}
  • id: 21964060
    {'hecke_orbit_code': 4503874538831971, 'n': 28, 'trace_an': 16}
  • id: 21964061
    {'hecke_orbit_code': 4503874538831971, 'n': 29, 'trace_an': 6}
  • id: 21964062
    {'hecke_orbit_code': 4503874538831971, 'n': 30, 'trace_an': 0}
  • id: 21964063
    {'hecke_orbit_code': 4503874538831971, 'n': 31, 'trace_an': -8}
  • id: 21964064
    {'hecke_orbit_code': 4503874538831971, 'n': 32, 'trace_an': 0}
  • id: 21964065
    {'hecke_orbit_code': 4503874538831971, 'n': 33, 'trace_an': 3}
  • id: 21964066
    {'hecke_orbit_code': 4503874538831971, 'n': 34, 'trace_an': 0}
  • id: 21964067
    {'hecke_orbit_code': 4503874538831971, 'n': 35, 'trace_an': 24}
  • id: 21964068
    {'hecke_orbit_code': 4503874538831971, 'n': 36, 'trace_an': -6}
  • id: 21964069
    {'hecke_orbit_code': 4503874538831971, 'n': 37, 'trace_an': 4}
  • id: 21964070
    {'hecke_orbit_code': 4503874538831971, 'n': 38, 'trace_an': 0}
  • id: 21964071
    {'hecke_orbit_code': 4503874538831971, 'n': 39, 'trace_an': 0}
  • id: 21964072
    {'hecke_orbit_code': 4503874538831971, 'n': 40, 'trace_an': 0}
  • id: 21964073
    {'hecke_orbit_code': 4503874538831971, 'n': 41, 'trace_an': 0}
  • id: 21964074
    {'hecke_orbit_code': 4503874538831971, 'n': 42, 'trace_an': 0}
  • id: 21964075
    {'hecke_orbit_code': 4503874538831971, 'n': 43, 'trace_an': -8}
  • id: 21964076
    {'hecke_orbit_code': 4503874538831971, 'n': 44, 'trace_an': -4}
  • id: 21964077
    {'hecke_orbit_code': 4503874538831971, 'n': 45, 'trace_an': -9}
  • id: 21964078
    {'hecke_orbit_code': 4503874538831971, 'n': 46, 'trace_an': 0}
  • id: 21964079
    {'hecke_orbit_code': 4503874538831971, 'n': 47, 'trace_an': -3}
  • id: 21964080
    {'hecke_orbit_code': 4503874538831971, 'n': 48, 'trace_an': 12}
  • id: 21964081
    {'hecke_orbit_code': 4503874538831971, 'n': 49, 'trace_an': -9}
  • id: 21964082
    {'hecke_orbit_code': 4503874538831971, 'n': 50, 'trace_an': 0}
  • id: 21964083
    {'hecke_orbit_code': 4503874538831971, 'n': 51, 'trace_an': 18}
  • id: 21964084
    {'hecke_orbit_code': 4503874538831971, 'n': 52, 'trace_an': 4}
  • id: 21964085
    {'hecke_orbit_code': 4503874538831971, 'n': 53, 'trace_an': 6}
  • id: 21964086
    {'hecke_orbit_code': 4503874538831971, 'n': 54, 'trace_an': 0}
  • id: 21964087
    {'hecke_orbit_code': 4503874538831971, 'n': 55, 'trace_an': -6}
  • id: 21964088
    {'hecke_orbit_code': 4503874538831971, 'n': 56, 'trace_an': 0}
  • id: 21964089
    {'hecke_orbit_code': 4503874538831971, 'n': 57, 'trace_an': -6}
  • id: 21964090
    {'hecke_orbit_code': 4503874538831971, 'n': 58, 'trace_an': 0}
  • id: 21964091
    {'hecke_orbit_code': 4503874538831971, 'n': 59, 'trace_an': 0}
  • id: 21964092
    {'hecke_orbit_code': 4503874538831971, 'n': 60, 'trace_an': 18}
  • id: 21964093
    {'hecke_orbit_code': 4503874538831971, 'n': 61, 'trace_an': -8}
  • id: 21964094
    {'hecke_orbit_code': 4503874538831971, 'n': 62, 'trace_an': 0}
  • id: 21964095
    {'hecke_orbit_code': 4503874538831971, 'n': 63, 'trace_an': 24}
  • id: 21964096
    {'hecke_orbit_code': 4503874538831971, 'n': 64, 'trace_an': -16}
  • id: 21964097
    {'hecke_orbit_code': 4503874538831971, 'n': 65, 'trace_an': 6}
  • id: 21964098
    {'hecke_orbit_code': 4503874538831971, 'n': 66, 'trace_an': 0}
  • id: 21964099
    {'hecke_orbit_code': 4503874538831971, 'n': 67, 'trace_an': 13}
  • id: 21964100
    {'hecke_orbit_code': 4503874538831971, 'n': 68, 'trace_an': -12}
  • id: 21964101
    {'hecke_orbit_code': 4503874538831971, 'n': 69, 'trace_an': 0}
  • id: 21964102
    {'hecke_orbit_code': 4503874538831971, 'n': 70, 'trace_an': 0}
  • id: 21964103
    {'hecke_orbit_code': 4503874538831971, 'n': 71, 'trace_an': 0}
  • id: 21964104
    {'hecke_orbit_code': 4503874538831971, 'n': 72, 'trace_an': 0}
  • id: 21964105
    {'hecke_orbit_code': 4503874538831971, 'n': 73, 'trace_an': 4}
  • id: 21964106
    {'hecke_orbit_code': 4503874538831971, 'n': 74, 'trace_an': 0}
  • id: 21964107
    {'hecke_orbit_code': 4503874538831971, 'n': 75, 'trace_an': 12}
  • id: 21964108
    {'hecke_orbit_code': 4503874538831971, 'n': 76, 'trace_an': 4}
  • id: 21964109
    {'hecke_orbit_code': 4503874538831971, 'n': 77, 'trace_an': 4}
  • id: 21964110
    {'hecke_orbit_code': 4503874538831971, 'n': 78, 'trace_an': 0}
  • id: 21964111
    {'hecke_orbit_code': 4503874538831971, 'n': 79, 'trace_an': -2}
  • id: 21964112
    {'hecke_orbit_code': 4503874538831971, 'n': 80, 'trace_an': -24}
  • id: 21964113
    {'hecke_orbit_code': 4503874538831971, 'n': 81, 'trace_an': -9}
  • id: 21964114
    {'hecke_orbit_code': 4503874538831971, 'n': 82, 'trace_an': 0}
  • id: 21964115
    {'hecke_orbit_code': 4503874538831971, 'n': 83, 'trace_an': 18}
  • id: 21964116
    {'hecke_orbit_code': 4503874538831971, 'n': 84, 'trace_an': -24}
  • id: 21964117
    {'hecke_orbit_code': 4503874538831971, 'n': 85, 'trace_an': -18}
  • id: 21964118
    {'hecke_orbit_code': 4503874538831971, 'n': 86, 'trace_an': 0}
  • id: 21964119
    {'hecke_orbit_code': 4503874538831971, 'n': 87, 'trace_an': -18}
  • id: 21964120
    {'hecke_orbit_code': 4503874538831971, 'n': 88, 'trace_an': 0}
  • id: 21964121
    {'hecke_orbit_code': 4503874538831971, 'n': 89, 'trace_an': 6}
  • id: 21964122
    {'hecke_orbit_code': 4503874538831971, 'n': 90, 'trace_an': 0}
  • id: 21964123
    {'hecke_orbit_code': 4503874538831971, 'n': 91, 'trace_an': -16}
  • id: 21964124
    {'hecke_orbit_code': 4503874538831971, 'n': 92, 'trace_an': 6}
  • id: 21964125
    {'hecke_orbit_code': 4503874538831971, 'n': 93, 'trace_an': 0}
  • id: 21964126
    {'hecke_orbit_code': 4503874538831971, 'n': 94, 'trace_an': 0}
  • id: 21964127
    {'hecke_orbit_code': 4503874538831971, 'n': 95, 'trace_an': 6}
  • id: 21964128
    {'hecke_orbit_code': 4503874538831971, 'n': 96, 'trace_an': 0}
  • id: 21964129
    {'hecke_orbit_code': 4503874538831971, 'n': 97, 'trace_an': -2}
  • id: 21964130
    {'hecke_orbit_code': 4503874538831971, 'n': 98, 'trace_an': 0}
  • id: 21964131
    {'hecke_orbit_code': 4503874538831971, 'n': 99, 'trace_an': -6}
  • id: 21964132
    {'hecke_orbit_code': 4503874538831971, 'n': 100, 'trace_an': -16}