Embedded newform data - 440.2.b.b.89.1

Formats: - HTML - YAML - JSON - 2026-08-12T21:36:32.244758

• 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': 1760, 'analytic_conductor': 3.513417688936337, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 5, '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': [440, 2, [111, 221, 177, 321], [2, 2, 1, 2]], 'cm_discs': [], 'conrey_index': 89, 'dim': 2, 'field_disc': -4, 'field_disc_factorization': [[-1, 1], [2, 2]], 'field_poly': [1, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 4, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [4, 0, 1]], [7, [16, 0, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4503668380402104, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 2, 'hecke_ring_index_factorization': [[2, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 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': '440.2.b.b', 'level': 440, '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, 5, 11], 'level_radical': 110, 'minimal_twist': '440.2.b.b', 'nf_label': '2.0.4.1', 'prim_orbit_index': 2, 'qexp_display': 'q+\\beta q^{3}+(-\\beta+1)q^{5}-2\\beta q^{7}-q^{9}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '440.2.b', 'trace_display': [0, 0, 2, 0], 'trace_hash': 675362816379780253, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.022', 'prec': 7}, {'__RealLiteral__': 0, 'data': '1.951', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.370', 'prec': 10}, {'__RealLiteral__': 0, 'data': '15.745', 'prec': 17}, {'__RealLiteral__': 0, 'data': '6.083', 'prec': 14}, {'__RealLiteral__': 0, 'data': '159.434', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.517', 'prec': 10}, 'traces': [2, 0, 0, 0, 2, 0, 0, 0, -2, 0, 2, 0, 0, 0, 8, 0, 0, 0, -8, 0, 16, 0, 0, 0, -6, 0, 0, 0, 4, 0, 16, 0, 0, 0, -16, 0, 0, 0, 24, 0, 12, 0, 0, 0, -2, 0, 0, 0, -18, 0, 8, 0, 0, 0, 2, 0, 0, 0, 8, 0, -20, 0, 0, 0, -24, 0, 0, 0, -24, 0, -16, 0, 0, 0, 16, 0, 0, 0, -8, 0, -22, 0, 0, 0, -8, 0, 0, 0, 28, 0, -48, 0, 0, 0, -8, 0, 0, 0, -2, 0, 20, 0, 0, 0, 16, 0, 0, 0, 28, 0, -32, 0, 0, 0, 24, 0, 0, 0, -16, 0, 2, 0, 0, 0, -22, 0, 0, 0, -48, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 40, 0, 0, 0, 4, 0, 0, 0, 28, 0, -16, 0, 0, 0, 16, 0, 0, 0, 0, 0, 48, 0, 0, 0, 8, 0, 0, 0, -46, 0, 8, 0, 0, 0, -32, 0, 0, 0, -8, 0, -44, 0, 0, 0, 32, 0, 0, 0, 32, 0, 0, 0, 0, 0, 24, 0, 0, 0, 32, 0, 8, 0, 0, 0, 12, 0, 0, 0, -8, 0, -32, 0, 0, 0, 48, 0, 0, 0, -8, 0, -24, 0, 0, 0, 6, 0, 0, 0, 12, 0, 16, 0, 0, 0, -40, 0, 0, 0, -8, 0, 12, 0, 0, 0, -18, 0, 0, 0, 16, 0, 24, 0, 0, 0, 8, 0, 0, 0, 64, 0, -4, 0, 0, 0, 0, 0, 0, 0, 28, 0, -48, 0, 0, 0, -6, 0, 0, 0, -16, 0, 44, 0, 0, 0, -32, 0, 0, 0, 26, 0, -16, 0, 0, 0, 8, 0, 0, 0, 72, 0, 96, 0, 0, 0, -20, 0, 0, 0, -8, 0, -16, 0, 0, 0, 16, 0, 0, 0, 4, 0, -32, 0, 0, 0, -48, 0, 0, 0, -80, 0, -8, 0, 0, 0, -8, 0, 0, 0, -16, 0, 16, 0, 0, 0, -24, 0, 0, 0, -44, 0, 48, 0, 0, 0, -16, 0, 0, 0, -8, 0, -6, 0, 0, 0, 8, 0, 0, 0, -12, 0, 0, 0, 0, 0, -8, 0, 0, 0, -40, 0, 32, 0, 0, 0, -16, 0, 0, 0, 12, 0, 24, 0, 0, 0, -8, 0, 0, 0, -64, 0, -68, 0, 0, 0, -22, 0, 0, 0, -20, 0, 48, 0, 0, 0, -16, 0, 0, 0, -56, 0, -60, 0, 0, 0, -16, 0, 0, 0, 24, 0, 24, 0, 0, 0, 16, 0, 0, 0, 32, 0, 18, 0, 0, 0, 28, 0, 0, 0, -4, 0, 12, 0, 0, 0, -48, 0, 0, 0, 16, 0, -12, 0, 0, 0, 64, 0, 0, 0, -16, 0, -80, 0, 0, 0, 24, 0, 0, 0, -8, 0, 96, 0, 0, 0, 16, 0, 0, 0, -40, 0, -24, 0, 0, 0, -2, 0, 0, 0, -56, 0, 0, 0, 0, 0, 20, 0, 0, 0, 28, 0, 16, 0, 0, 0, 8, 0, 0, 0, -88, 0, -20, 0, 0, 0, -48, 0, 0, 0, -26, 0, -8, 0, 0, 0, 32, 0, 0, 0, -18, 0, -60, 0, 0, 0, 28, 0, 0, 0, 20, 0, -16, 0, 0, 0, -32, 0, 0, 0, 144, 0, 8, 0, 0, 0, 16, 0, 0, 0, 60, 0, 56, 0, 0, 0, 48, 0, 0, 0, 56, 0, -32, 0, 0, 0, 24, 0, 0, 0, -64, 0, 24, 0, 0, 0, -16, 0, 0, 0, 80, 0, -20, 0, 0, 0, 2, 0, 0, 0, 32, 0, -120, 0, 0, 0, 48, 0, 0, 0, 72, 0, -48, 0, 0, 0, -14, 0, 0, 0, 32, 0, 96, 0, 0, 0, -32, 0, 0, 0, 16, 0, -4, 0, 0, 0, -48, 0, 0, 0, 8, 0, 128, 0, 0, 0, 0, 0, 0, 0, -48, 0, 44, 0, 0, 0, 64, 0, 0, 0, 40, 0, -20, 0, 0, 0, 32, 0, 0, 0, 32, 0, 48, 0, 0, 0, -48, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, -56, 0, -84, 0, 0, 0, 40, 0, 0, 0, 84, 0, 8, 0, 0, 0, -24, 0, 0, 0, -16, 0, 16, 0, 0, 0, -12, 0, 0, 0, -26, 0, 48, 0, 0, 0, -72, 0, 0, 0, -16, 0, -96, 0, 0, 0, 28, 0, 0, 0, 64, 0, -16, 0, 0, 0, -16, 0, 0, 0, -24, 0, -44, 0, 0, 0, 8, 0, 0, 0, -28, 0, -96, 0, 0, 0, -48, 0, 0, 0, -48, 0, -16, 0, 0, 0, 80, 0, 0, 0, 96, 0, 32, 0, 0, 0, 0, 0, 0, 0, -40, 0, -28, 0, 0, 0, 48, 0, 0, 0, 20, 0, -40, 0, 0, 0, 40, 0, 0, 0, 48, 0, -36, 0, 0, 0, 16, 0, 0, 0, 52, 0, -56, 0, 0, 0, 0, 0, 0, 0, 96, 0, -50, 0, 0, 0, -46, 0, 0, 0, -112, 0, -96, 0, 0, 0, 8, 0, 0, 0, -40, 0, 96, 0, 0, 0, 88, 0, 0, 0, -8, 0, -24, 0, 0, 0, 16, 0, 0, 0, -104, 0, 68, 0, 0, 0, 32, 0, 0, 0, -64, 0, -22, 0, 0, 0, -8, 0, 0, 0, 32, 0, 0, 0, 0, 0, -44, 0, 0, 0, -20, 0, 96, 0, 0, 0, -80, 0, 0, 0, -80, 0, 32, 0, 0, 0, 64, 0, 0, 0, 36, 0, 72, 0, 0, 0, -8, 0, 0, 0, 0, 0, -60, 0, 0, 0, 32, 0, 0, 0, 24, 0, 112, 0, 0, 0, 0, 0, 0, 0, -96, 0, 66, 0, 0, 0, -56, 0, 0, 0, -32, 0, 72, 0, 0, 0, -72, 0, 0, 0, 28, 0, -28, 0, 0, 0, -24, 0, 0, 0, -144, 0, 48, 0, 0, 0, 32, 0, 0, 0, -64, 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], [0.0, -1.1547005383792515], [0.0, 0.0], [0.4472135954999579, 0.8944271909999159], [0.0, 0.0], [0.0, 1.511857892036909], [0.0, 0.0], [-0.3333333333333333, 0.0], [0.0, 0.0], [0.30151134457776363, 0.0], [0.0, 0.0], [0.0, 1.6641005886756874], [0.0, 0.0], [1.0327955589886446, -0.5163977794943223], [0.0, 0.0], [0.0, 0.48507125007266594], [0.0, 0.0], [-0.9176629354822471, 0.0], [0.0, 0.0], [1.7457431218879391, 0.0], [0.0, 0.0], [0.0, -1.2510864843424485], [0.0, 0.0], [-0.6, 0.8], [0.0, 0.0], [0.0, -0.769800358919501], [0.0, 0.0], [0.3713906763541037, 0.0], [0.0, 0.0], [1.4368424162141993, 0.0], [0.0, 0.0], [0.0, -0.3481553119113957], [0.0, 0.0], [-1.3522468075656264, 0.6761234037828132], [0.0, 0.0], [0.0, -1.3151918984428583], [0.0, 0.0], [1.9215378456610457, 0.0], [0.0, 0.0], [0.9370425713316364, 0.0], [0.0, 0.0], [0.0, -1.829982843991256], [0.0, 0.0], [-0.14907119849998599, -0.29814239699997197], [0.0, 0.0], [0.0, 1.4586499149789456], [0.0, 0.0], [-1.2857142857142858, 0.0], [0.0, 0.0], [0.5601120336112039, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.13483997249264842, 0.26967994498529685], [0.0, 0.0], [0.0, 1.059625885652035], [0.0, 0.0], [0.5207556439232954, 0.0], [0.0, 0.0], [-1.2803687993289596, 0.0], [0.0, 0.0], [0.0, -0.5039526306789697], [0.0, 0.0], [-1.4884168150705015, 0.7442084075352507], [0.0, 0.0], [0.0, 0.24433888871261045], [0.0, 0.0], [-1.4446302370292303, 0.0], [0.0, 0.0], [-0.9494253265550827, 0.0], [0.0, 0.0], [0.0, -0.23408229439226114], [0.0, 0.0], [0.9237604307034012, 0.6928203230275509], [0.0, 0.0], [0.0, 0.4558423058385518], [0.0, 0.0], [-0.4500351603704096, 0.0], [0.0, 0.0], [-1.2222222222222223, 0.0], [0.0, 0.0], [0.0, 0.4390570399587614], [0.0, 0.0], [-0.4338609156373123, 0.21693045781865616], [0.0, 0.0], [0.0, -0.4288450139351179], [0.0, 0.0], [1.483997032008904, 0.0], [0.0, 0.0], [-2.515883608132604, 0.0], [0.0, 0.0], [0.0, -1.6591227115686804], [0.0, 0.0], [-0.41039134083406165, -0.8207826816681233], [0.0, 0.0], [0.0, -0.4061384660534476], [0.0, 0.0], [-0.10050378152592121, 0.0], [0.0, 0.0]], 'angles': [None, -0.4020433619923482, None, 0.13640723708574748, None, 0.1564164790945006, 0.03898956518868466, -0.3258659164556367, -0.39243869138692494, -0.2202731255008241, -0.122432539381627, -0.3857867141229337, -0.17239346463999347, -0.316098586420017, 0.13008286854256518, 0.0, -0.2080764390627594, -0.36057103081184777, 0.019492566576664754, -0.32872400892627135, -0.4813295296128626, -0.28612197761895225, 0.03522595061858971, -0.11693906143850916, -0.46745417476817513, -0.16712231412473927, -0.48429251056371075, -0.43680838001913785, -0.13304444816751249, -0.4698763887018268, 0.057749796499986586, -0.25, 0.08566151123968023, -0.25, -0.15279994389289261, -0.3027688951636682, -0.3529227786991546, -0.4359556253996486, 0.0, -0.3423528793441074, -0.2738811103123127, -0.40235446048651635, -0.25, 0.08404565878758129, 0.034282455059798135, -0.1540316893988873, -0.34282772525531136, 0.05433856209927411, 0.06518839667874828, -0.21823782207298767, -0.4241781841005878, -0.2706476248779087, -0.21904906758745865, -0.18818274684811498, -0.3653777304125182, 0.13257583678906293, -0.17982084857176378, -0.37999522451398876, -0.43091168301515564, -0.13608032899568479, -0.343536649738142, -0.36272963893789745, 0.03665705251242417, -0.2864163228420012, 0.0, 0.14400770392397483, -0.26753132513630773, 0.00867401562018629, 0.0, -0.3502029677248659, -0.46585481355223757, -0.26683110803125293, -0.35684585512459926, 0.11752194375726238, -0.33585637942637164, 0.13899286052664483, -0.2256972380086931, -0.41631991729054574, -0.41137919150009694, -0.28976083313729367, -0.3698685406040656, -0.3804859278080055, -0.20333698525273947, 0.11745364535985534, -0.18764885635407058, 0.05395957844303631, -0.2575137769900458, -0.4624271970549565, -0.27231075438319147, -0.4777378025890334, 0.0073674433926856795, -0.2645642684730915, -0.4782968023193661, -0.29364016957437095, -0.35780274748746105, -0.45689680961085216, -0.19979034646945493, -0.2851485405803118, 0.05687787586119252, -0.3615505722494789], 'char_orbit_index': 2, 'conrey_index': 89, 'dual_conrey_index': 89, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': -1.0, 'embedding_root_real': 0.0, 'hecke_orbit': 2, 'hecke_orbit_code': 4503668380402104, 'label': '440.2.b.b.89.1', 'level': 440, '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': 1760, 'analytic_conductor': 3.513417688936337, 'char_conductor': 5, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': 1, 'char_values': [440, 2, [111, 221, 177, 321], [2, 2, 1, 2]], 'conrey_index': 89, 'cusp_dim': 64, 'dim': 14, 'eis_dim': 16, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 7], 'hecke_orbit_code': 68753031608, 'hecke_orbit_dims': [2, 2, 2, 8], 'label': '440.2.b', 'level': 440, '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, 5, 11], 'level_radical': 110, 'mf_dim': 80, 'mf_new_dim': 14, 'num_forms': 4, 'prim_orbit_index': 2, 'relative_dim': 14, 'sturm_bound': 144, 'trace_bound': 5, 'trace_display': [0, 0, 4, 0], 'traces': [14, 0, 0, 0, 4, 0, 0, 0, -14, 0, 6, 0, 0, 0, -14, 0, 0, 0, 0, 0, -8, 0, 0, 0, -8, 0, 0, 0, -4, 0, 0, 0, 0, 0, 4, 0, 0, 0, 16, 0, 20, 0, 0, 0, -14, 0, 0, 0, -18, 0, -24, 0, 0, 0, 0, 0, 0, 0, -20, 0, 52, 0, 0, 0, -32, 0, 0, 0, 12, 0, 8, 0, 0, 0, 50, 0, 0, 0, 40, 0, 46, 0, 0, 0, -20, 0, 0, 0, 20, 0, -40, 0, 0, 0, 24, 0, 0, 0, -18, 0, -44, 0, 0, 0, -28, 0, 0, 0, 28, 0, -64, 0, 0, 0, 2, 0, 0, 0, 4, 0, 14, 0, 0, 0, -14, 0, 0, 0, -104, 0, -16, 0, 0, 0, 54, 0, 0, 0, 72, 0, 16, 0, 0, 0, 28, 0, 0, 0, 44, 0, -64, 0, 0, 0, -14, 0, 0, 0, -36, 0, 80, 0, 0, 0, 6, 0, 0, 0, -18, 0, -88, 0, 0, 0, 20, 0, 0, 0, -52, 0, -112, 0, 0, 0, 14, 0, 0, 0, 8, 0, -12, 0, 0, 0, 88, 0, 0, 0, 4, 0, 20, 0, 0, 0, -20, 0, 0, 0, 20, 0, 24, 0, 0, 0, 68, 0, 0, 0, 56, 0, 32, 0, 0, 0, 74, 0, 0, 0, -8, 0, 12, 0, 0, 0, -76, 0, 0, 0, 48, 0, 36, 0, 0, 0, -92, 0, 0, 0, -96, 0, 68, 0, 0, 0, -60, 0, 0, 0, 96, 0, 148, 0, 0, 0, 20, 0, 0, 0, 28, 0, -112, 0, 0, 0, -8, 0, 0, 0, -8, 0, 44, 0, 0, 0, -104, 0, 0, 0, -78, 0, 52, 0, 0, 0, -6, 0, 0, 0, 24, 0, -24, 0, 0, 0, -60, 0, 0, 0, 88, 0, -140, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, -48, 0, 0, 0, -48, 0, -68, 0, 0, 0, -78, 0, 0, 0, -52, 0, -28, 0, 0, 0, 82, 0, 0, 0, -44, 0, 152, 0, 0, 0, 74, 0, 0, 0, 0, 0, 42, 0, 0, 0, -16, 0, 0, 0, -100, 0, -136, 0, 0, 0, 108, 0, 0, 0, -20, 0, 176, 0, 0, 0, 24, 0, 0, 0, 24, 0, -8, 0, 0, 0, -52, 0, 0, 0, 28, 0, -120, 0, 0, 0, -48, 0, 0, 0, 20, 0, 36, 0, 0, 0, -12, 0, 0, 0, 0, 0, 124, 0, 0, 0, -36, 0, 0, 0, 16, 0, 160, 0, 0, 0, 144, 0, 0, 0, -152, 0, 22, 0, 0, 0, 58, 0, 0, 0, 32, 0, 44, 0, 0, 0, 16, 0, 0, 0, 0, 0, -4, 0, 0, 0, -58, 0, 0, 0, 72, 0, 16, 0, 0, 0, -136, 0, 0, 0, 64, 0, 136, 0, 0, 0, -22, 0, 0, 0, 108, 0, 32, 0, 0, 0, -34, 0, 0, 0, 32, 0, -16, 0, 0, 0, 64, 0, 0, 0, 152, 0, 216, 0, 0, 0, -12, 0, 0, 0, -256, 0, -152, 0, 0, 0, -164, 0, 0, 0, -130, 0, -104, 0, 0, 0, 20, 0, 0, 0, -54, 0, -196, 0, 0, 0, 24, 0, 0, 0, -4, 0, -28, 0, 0, 0, -86, 0, 0, 0, 80, 0, -52, 0, 0, 0, -26, 0, 0, 0, -116, 0, -32, 0, 0, 0, 38, 0, 0, 0, -64, 0, -72, 0, 0, 0, 248, 0, 0, 0, -48, 0, -184, 0, 0, 0, -104, 0, 0, 0, 60, 0, 44, 0, 0, 0, 4, 0, 0, 0, -20, 0, -200, 0, 0, 0, 40, 0, 0, 0, 28, 0, -420, 0, 0, 0, 88, 0, 0, 0, 72, 0, 224, 0, 0, 0, 160, 0, 0, 0, -40, 0, 100, 0, 0, 0, -44, 0, 0, 0, 12, 0, 304, 0, 0, 0, 28, 0, 0, 0, 80, 0, 8, 0, 0, 0, 260, 0, 0, 0, 204, 0, 24, 0, 0, 0, -42, 0, 0, 0, 304, 0, 40, 0, 0, 0, 46, 0, 0, 0, -40, 0, -44, 0, 0, 0, -60, 0, 0, 0, 48, 0, 140, 0, 0, 0, 52, 0, 0, 0, 56, 0, -312, 0, 0, 0, -32, 0, 0, 0, -88, 0, 72, 0, 0, 0, 36, 0, 0, 0, -158, 0, 296, 0, 0, 0, -238, 0, 0, 0, 56, 0, -216, 0, 0, 0, -152, 0, 0, 0, 72, 0, -144, 0, 0, 0, 84, 0, 0, 0, 60, 0, -148, 0, 0, 0, -152, 0, 0, 0, -84, 0, 24, 0, 0, 0, -250, 0, 0, 0, -144, 0, -44, 0, 0, 0, 86, 0, 0, 0, 200, 0, 24, 0, 0, 0, 48, 0, 0, 0, 104, 0, -124, 0, 0, 0, 212, 0, 0, 0, -220, 0, -88, 0, 0, 0, 168, 0, 0, 0, -272, 0, 28, 0, 0, 0, 34, 0, 0, 0, 40, 0, 104, 0, 0, 0, -8, 0, 0, 0, 196, 0, -218, 0, 0, 0, -20, 0, 0, 0, 152, 0, 204, 0, 0, 0, 88, 0, 0, 0, 44, 0, 96, 0, 0, 0, -28, 0, 0, 0, 24, 0, 24, 0, 0, 0, -8, 0, 0, 0, -168, 0, 8, 0, 0, 0, 90, 0, 0, 0, -128, 0, 86, 0, 0, 0, -130, 0, 0, 0, -24, 0, 0, 0, 0, 0, -54, 0, 0, 0, 116, 0, -84, 0, 0, 0, -160, 0, 0, 0, -152, 0, 192, 0, 0, 0, 38, 0, 0, 0, 152, 0, -104, 0, 0, 0, -48, 0, 0, 0, -164, 0, 132, 0, 0, 0, 108, 0, 0, 0, -120, 0, 440, 0, 0, 0, 62, 0, 0, 0, -344, 0, 102, 0, 0, 0, -104, 0, 0, 0, -108, 0, 44, 0, 0, 0, 96, 0, 0, 0, -48, 0, -388, 0, 0, 0, -180, 0, 0, 0, 40, 0, 48, 0, 0, 0, -112, 0, 0, 0, 280, 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: 34514194
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 89, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503668380402104, 'source_is_minimal': True, 'source_label': '440.2.b.b.89.1', 'source_level': 440, 'target_conrey_index': 89, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503668380402104, 'target_is_minimal': True, 'target_label': '440.2.b.b.89.1', 'target_level': 440, 'twist_class_label': '440.2.b.b.89.1', 'twist_class_level': 440, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 34514195
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 89, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503668380402104, 'source_is_minimal': True, 'source_label': '440.2.b.b.89.1', 'source_level': 440, 'target_conrey_index': 3169, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503805819359096, 'target_is_minimal': False, 'target_label': '3960.2.d.b.3169.1', 'target_level': 3960, 'twist_class_label': '440.2.b.b.89.1', 'twist_class_level': 440, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 34514196
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 89, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503668380402104, 'source_is_minimal': True, 'source_label': '440.2.b.b.89.1', 'source_level': 440, 'target_conrey_index': 529, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 13510867635143536, 'target_is_minimal': False, 'target_label': '880.2.b.d.529.2', 'target_level': 880, 'twist_class_label': '440.2.b.b.89.1', 'twist_class_level': 440, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 34514197
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 89, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503668380402104, 'source_is_minimal': True, 'source_label': '440.2.b.b.89.1', 'source_level': 440, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599660927128, 'target_is_minimal': False, 'target_label': '2200.2.a.b.1.1', 'target_level': 2200, 'twist_class_label': '440.2.b.b.89.1', 'twist_class_level': 440, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 34514198
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 89, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503668380402104, 'source_is_minimal': True, 'source_label': '440.2.b.b.89.1', 'source_level': 440, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40532396679891096, 'target_is_minimal': False, 'target_label': '2200.2.a.j.1.1', 'target_level': 2200, 'twist_class_label': '440.2.b.b.89.1', 'twist_class_level': 440, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 34514199
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 89, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503668380402104, 'source_is_minimal': True, 'source_label': '440.2.b.b.89.1', 'source_level': 440, 'target_conrey_index': 89, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4503668380402104, 'target_is_minimal': True, 'target_label': '440.2.b.b.89.2', 'target_level': 440, 'twist_class_label': '440.2.b.b.89.1', 'twist_class_level': 440, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 34514200
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 89, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503668380402104, 'source_is_minimal': True, 'source_label': '440.2.b.b.89.1', 'source_level': 440, 'target_conrey_index': 3169, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4503805819359096, 'target_is_minimal': False, 'target_label': '3960.2.d.b.3169.2', 'target_level': 3960, 'twist_class_label': '440.2.b.b.89.1', 'twist_class_level': 440, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 2}
  • id: 34514201
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 89, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503668380402104, 'source_is_minimal': True, 'source_label': '440.2.b.b.89.1', 'source_level': 440, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199288299824, 'target_is_minimal': False, 'target_label': '4400.2.a.c.1.1', 'target_level': 4400, 'twist_class_label': '440.2.b.b.89.1', 'twist_class_level': 440, 'twisting_char_label': '20.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 34514202
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 89, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503668380402104, 'source_is_minimal': True, 'source_label': '440.2.b.b.89.1', 'source_level': 440, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 121597189972562224, 'target_is_minimal': False, 'target_label': '4400.2.a.bb.1.1', 'target_level': 4400, 'twist_class_label': '440.2.b.b.89.1', 'twist_class_level': 440, 'twisting_char_label': '20.7', 'twisting_conrey_index': 7, 'weight': 2}
  • id: 34514203
    {'conductor': 20, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 89, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503668380402104, 'source_is_minimal': True, 'source_label': '440.2.b.b.89.1', 'source_level': 440, 'target_conrey_index': 529, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510867635143536, 'target_is_minimal': False, 'target_label': '880.2.b.d.529.1', 'target_level': 880, 'twist_class_label': '440.2.b.b.89.1', 'twist_class_level': 440, 'twisting_char_label': '20.19', 'twisting_conrey_index': 19, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 888650
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4503668380402104, 'p': 2}
  • id: 888651
    {'charpoly_factorization': [[[4, 0, 1], 1]], 'hecke_orbit_code': 4503668380402104, 'p': 3}
  • id: 888652
    {'charpoly_factorization': [[[5, -2, 1], 1]], 'hecke_orbit_code': 4503668380402104, 'p': 5}
  • id: 888653
    {'charpoly_factorization': [[[16, 0, 1], 1]], 'hecke_orbit_code': 4503668380402104, 'p': 7}
  • id: 888654
    {'charpoly_factorization': [[[-1, 1], 2]], 'hecke_orbit_code': 4503668380402104, 'p': 11}
  • id: 888655
    {'charpoly_factorization': [[[36, 0, 1], 1]], 'hecke_orbit_code': 4503668380402104, 'p': 13}
  • id: 888656
    {'charpoly_factorization': [[[4, 0, 1], 1]], 'hecke_orbit_code': 4503668380402104, 'p': 17}
  • id: 888657
    {'charpoly_factorization': [[[4, 1], 2]], 'hecke_orbit_code': 4503668380402104, 'p': 19}
  • id: 888658
    {'charpoly_factorization': [[[36, 0, 1], 1]], 'hecke_orbit_code': 4503668380402104, 'p': 23}
  • id: 888659
    {'charpoly_factorization': [[[-2, 1], 2]], 'hecke_orbit_code': 4503668380402104, 'p': 29}
  • id: 888660
    {'charpoly_factorization': [[[-8, 1], 2]], 'hecke_orbit_code': 4503668380402104, 'p': 31}
  • id: 888661
    {'charpoly_factorization': [[[64, 0, 1], 1]], 'hecke_orbit_code': 4503668380402104, 'p': 37}
  • id: 888662
    {'charpoly_factorization': [[[-6, 1], 2]], 'hecke_orbit_code': 4503668380402104, 'p': 41}
  • id: 888663
    {'charpoly_factorization': [[[144, 0, 1], 1]], 'hecke_orbit_code': 4503668380402104, 'p': 43}
  • id: 888664
    {'charpoly_factorization': [[[100, 0, 1], 1]], 'hecke_orbit_code': 4503668380402104, 'p': 47}
  • id: 888665
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 4503668380402104, 'p': 53}
  • id: 888666
    {'charpoly_factorization': [[[-4, 1], 2]], 'hecke_orbit_code': 4503668380402104, 'p': 59}
  • id: 888667
    {'charpoly_factorization': [[[10, 1], 2]], 'hecke_orbit_code': 4503668380402104, 'p': 61}
  • id: 888668
    {'charpoly_factorization': [[[4, 0, 1], 1]], 'hecke_orbit_code': 4503668380402104, 'p': 67}
  • id: 888669
    {'charpoly_factorization': [[[8, 1], 2]], 'hecke_orbit_code': 4503668380402104, 'p': 71}
  • id: 888670
    {'charpoly_factorization': [[[4, 0, 1], 1]], 'hecke_orbit_code': 4503668380402104, 'p': 73}
  • id: 888671
    {'charpoly_factorization': [[[4, 1], 2]], 'hecke_orbit_code': 4503668380402104, 'p': 79}
  • id: 888672
    {'charpoly_factorization': [[[16, 0, 1], 1]], 'hecke_orbit_code': 4503668380402104, 'p': 83}
  • id: 888673
    {'charpoly_factorization': [[[-14, 1], 2]], 'hecke_orbit_code': 4503668380402104, 'p': 89}
  • id: 888674
    {'charpoly_factorization': [[[16, 0, 1], 1]], 'hecke_orbit_code': 4503668380402104, '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': 2, 'label': '440.2.b.b', 'level': 440, '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: 20348436
    {'hecke_orbit_code': 4503668380402104, 'n': 1, 'trace_an': 2}
  • id: 20348437
    {'hecke_orbit_code': 4503668380402104, 'n': 2, 'trace_an': 0}
  • id: 20348438
    {'hecke_orbit_code': 4503668380402104, 'n': 3, 'trace_an': 0}
  • id: 20348439
    {'hecke_orbit_code': 4503668380402104, 'n': 4, 'trace_an': 0}
  • id: 20348440
    {'hecke_orbit_code': 4503668380402104, 'n': 5, 'trace_an': 2}
  • id: 20348441
    {'hecke_orbit_code': 4503668380402104, 'n': 6, 'trace_an': 0}
  • id: 20348442
    {'hecke_orbit_code': 4503668380402104, 'n': 7, 'trace_an': 0}
  • id: 20348443
    {'hecke_orbit_code': 4503668380402104, 'n': 8, 'trace_an': 0}
  • id: 20348444
    {'hecke_orbit_code': 4503668380402104, 'n': 9, 'trace_an': -2}
  • id: 20348445
    {'hecke_orbit_code': 4503668380402104, 'n': 10, 'trace_an': 0}
  • id: 20348446
    {'hecke_orbit_code': 4503668380402104, 'n': 11, 'trace_an': 2}
  • id: 20348447
    {'hecke_orbit_code': 4503668380402104, 'n': 12, 'trace_an': 0}
  • id: 20348448
    {'hecke_orbit_code': 4503668380402104, 'n': 13, 'trace_an': 0}
  • id: 20348449
    {'hecke_orbit_code': 4503668380402104, 'n': 14, 'trace_an': 0}
  • id: 20348450
    {'hecke_orbit_code': 4503668380402104, 'n': 15, 'trace_an': 8}
  • id: 20348451
    {'hecke_orbit_code': 4503668380402104, 'n': 16, 'trace_an': 0}
  • id: 20348452
    {'hecke_orbit_code': 4503668380402104, 'n': 17, 'trace_an': 0}
  • id: 20348453
    {'hecke_orbit_code': 4503668380402104, 'n': 18, 'trace_an': 0}
  • id: 20348454
    {'hecke_orbit_code': 4503668380402104, 'n': 19, 'trace_an': -8}
  • id: 20348455
    {'hecke_orbit_code': 4503668380402104, 'n': 20, 'trace_an': 0}
  • id: 20348456
    {'hecke_orbit_code': 4503668380402104, 'n': 21, 'trace_an': 16}
  • id: 20348457
    {'hecke_orbit_code': 4503668380402104, 'n': 22, 'trace_an': 0}
  • id: 20348458
    {'hecke_orbit_code': 4503668380402104, 'n': 23, 'trace_an': 0}
  • id: 20348459
    {'hecke_orbit_code': 4503668380402104, 'n': 24, 'trace_an': 0}
  • id: 20348460
    {'hecke_orbit_code': 4503668380402104, 'n': 25, 'trace_an': -6}
  • id: 20348461
    {'hecke_orbit_code': 4503668380402104, 'n': 26, 'trace_an': 0}
  • id: 20348462
    {'hecke_orbit_code': 4503668380402104, 'n': 27, 'trace_an': 0}
  • id: 20348463
    {'hecke_orbit_code': 4503668380402104, 'n': 28, 'trace_an': 0}
  • id: 20348464
    {'hecke_orbit_code': 4503668380402104, 'n': 29, 'trace_an': 4}
  • id: 20348465
    {'hecke_orbit_code': 4503668380402104, 'n': 30, 'trace_an': 0}
  • id: 20348466
    {'hecke_orbit_code': 4503668380402104, 'n': 31, 'trace_an': 16}
  • id: 20348467
    {'hecke_orbit_code': 4503668380402104, 'n': 32, 'trace_an': 0}
  • id: 20348468
    {'hecke_orbit_code': 4503668380402104, 'n': 33, 'trace_an': 0}
  • id: 20348469
    {'hecke_orbit_code': 4503668380402104, 'n': 34, 'trace_an': 0}
  • id: 20348470
    {'hecke_orbit_code': 4503668380402104, 'n': 35, 'trace_an': -16}
  • id: 20348471
    {'hecke_orbit_code': 4503668380402104, 'n': 36, 'trace_an': 0}
  • id: 20348472
    {'hecke_orbit_code': 4503668380402104, 'n': 37, 'trace_an': 0}
  • id: 20348473
    {'hecke_orbit_code': 4503668380402104, 'n': 38, 'trace_an': 0}
  • id: 20348474
    {'hecke_orbit_code': 4503668380402104, 'n': 39, 'trace_an': 24}
  • id: 20348475
    {'hecke_orbit_code': 4503668380402104, 'n': 40, 'trace_an': 0}
  • id: 20348476
    {'hecke_orbit_code': 4503668380402104, 'n': 41, 'trace_an': 12}
  • id: 20348477
    {'hecke_orbit_code': 4503668380402104, 'n': 42, 'trace_an': 0}
  • id: 20348478
    {'hecke_orbit_code': 4503668380402104, 'n': 43, 'trace_an': 0}
  • id: 20348479
    {'hecke_orbit_code': 4503668380402104, 'n': 44, 'trace_an': 0}
  • id: 20348480
    {'hecke_orbit_code': 4503668380402104, 'n': 45, 'trace_an': -2}
  • id: 20348481
    {'hecke_orbit_code': 4503668380402104, 'n': 46, 'trace_an': 0}
  • id: 20348482
    {'hecke_orbit_code': 4503668380402104, 'n': 47, 'trace_an': 0}
  • id: 20348483
    {'hecke_orbit_code': 4503668380402104, 'n': 48, 'trace_an': 0}
  • id: 20348484
    {'hecke_orbit_code': 4503668380402104, 'n': 49, 'trace_an': -18}
  • id: 20348485
    {'hecke_orbit_code': 4503668380402104, 'n': 50, 'trace_an': 0}
  • id: 20348486
    {'hecke_orbit_code': 4503668380402104, 'n': 51, 'trace_an': 8}
  • id: 20348487
    {'hecke_orbit_code': 4503668380402104, 'n': 52, 'trace_an': 0}
  • id: 20348488
    {'hecke_orbit_code': 4503668380402104, 'n': 53, 'trace_an': 0}
  • id: 20348489
    {'hecke_orbit_code': 4503668380402104, 'n': 54, 'trace_an': 0}
  • id: 20348490
    {'hecke_orbit_code': 4503668380402104, 'n': 55, 'trace_an': 2}
  • id: 20348491
    {'hecke_orbit_code': 4503668380402104, 'n': 56, 'trace_an': 0}
  • id: 20348492
    {'hecke_orbit_code': 4503668380402104, 'n': 57, 'trace_an': 0}
  • id: 20348493
    {'hecke_orbit_code': 4503668380402104, 'n': 58, 'trace_an': 0}
  • id: 20348494
    {'hecke_orbit_code': 4503668380402104, 'n': 59, 'trace_an': 8}
  • id: 20348495
    {'hecke_orbit_code': 4503668380402104, 'n': 60, 'trace_an': 0}
  • id: 20348496
    {'hecke_orbit_code': 4503668380402104, 'n': 61, 'trace_an': -20}
  • id: 20348497
    {'hecke_orbit_code': 4503668380402104, 'n': 62, 'trace_an': 0}
  • id: 20348498
    {'hecke_orbit_code': 4503668380402104, 'n': 63, 'trace_an': 0}
  • id: 20348499
    {'hecke_orbit_code': 4503668380402104, 'n': 64, 'trace_an': 0}
  • id: 20348500
    {'hecke_orbit_code': 4503668380402104, 'n': 65, 'trace_an': -24}
  • id: 20348501
    {'hecke_orbit_code': 4503668380402104, 'n': 66, 'trace_an': 0}
  • id: 20348502
    {'hecke_orbit_code': 4503668380402104, 'n': 67, 'trace_an': 0}
  • id: 20348503
    {'hecke_orbit_code': 4503668380402104, 'n': 68, 'trace_an': 0}
  • id: 20348504
    {'hecke_orbit_code': 4503668380402104, 'n': 69, 'trace_an': -24}
  • id: 20348505
    {'hecke_orbit_code': 4503668380402104, 'n': 70, 'trace_an': 0}
  • id: 20348506
    {'hecke_orbit_code': 4503668380402104, 'n': 71, 'trace_an': -16}
  • id: 20348507
    {'hecke_orbit_code': 4503668380402104, 'n': 72, 'trace_an': 0}
  • id: 20348508
    {'hecke_orbit_code': 4503668380402104, 'n': 73, 'trace_an': 0}
  • id: 20348509
    {'hecke_orbit_code': 4503668380402104, 'n': 74, 'trace_an': 0}
  • id: 20348510
    {'hecke_orbit_code': 4503668380402104, 'n': 75, 'trace_an': 16}
  • id: 20348511
    {'hecke_orbit_code': 4503668380402104, 'n': 76, 'trace_an': 0}
  • id: 20348512
    {'hecke_orbit_code': 4503668380402104, 'n': 77, 'trace_an': 0}
  • id: 20348513
    {'hecke_orbit_code': 4503668380402104, 'n': 78, 'trace_an': 0}
  • id: 20348514
    {'hecke_orbit_code': 4503668380402104, 'n': 79, 'trace_an': -8}
  • id: 20348515
    {'hecke_orbit_code': 4503668380402104, 'n': 80, 'trace_an': 0}
  • id: 20348516
    {'hecke_orbit_code': 4503668380402104, 'n': 81, 'trace_an': -22}
  • id: 20348517
    {'hecke_orbit_code': 4503668380402104, 'n': 82, 'trace_an': 0}
  • id: 20348518
    {'hecke_orbit_code': 4503668380402104, 'n': 83, 'trace_an': 0}
  • id: 20348519
    {'hecke_orbit_code': 4503668380402104, 'n': 84, 'trace_an': 0}
  • id: 20348520
    {'hecke_orbit_code': 4503668380402104, 'n': 85, 'trace_an': -8}
  • id: 20348521
    {'hecke_orbit_code': 4503668380402104, 'n': 86, 'trace_an': 0}
  • id: 20348522
    {'hecke_orbit_code': 4503668380402104, 'n': 87, 'trace_an': 0}
  • id: 20348523
    {'hecke_orbit_code': 4503668380402104, 'n': 88, 'trace_an': 0}
  • id: 20348524
    {'hecke_orbit_code': 4503668380402104, 'n': 89, 'trace_an': 28}
  • id: 20348525
    {'hecke_orbit_code': 4503668380402104, 'n': 90, 'trace_an': 0}
  • id: 20348526
    {'hecke_orbit_code': 4503668380402104, 'n': 91, 'trace_an': -48}
  • id: 20348527
    {'hecke_orbit_code': 4503668380402104, 'n': 92, 'trace_an': 0}
  • id: 20348528
    {'hecke_orbit_code': 4503668380402104, 'n': 93, 'trace_an': 0}
  • id: 20348529
    {'hecke_orbit_code': 4503668380402104, 'n': 94, 'trace_an': 0}
  • id: 20348530
    {'hecke_orbit_code': 4503668380402104, 'n': 95, 'trace_an': -8}
  • id: 20348531
    {'hecke_orbit_code': 4503668380402104, 'n': 96, 'trace_an': 0}
  • id: 20348532
    {'hecke_orbit_code': 4503668380402104, 'n': 97, 'trace_an': 0}
  • id: 20348533
    {'hecke_orbit_code': 4503668380402104, 'n': 98, 'trace_an': 0}
  • id: 20348534
    {'hecke_orbit_code': 4503668380402104, 'n': 99, 'trace_an': -2}
  • id: 20348535
    {'hecke_orbit_code': 4503668380402104, 'n': 100, 'trace_an': 0}