Embedded newform data - 128.4.b.c.65.1

Formats: - HTML - YAML - JSON - 2026-07-21T05:13:39.636823

• 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': 2048, 'analytic_conductor': 7.552244480734799, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 8, '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': [128, 2, [127, 5], [2, 1]], 'cm_discs': [-4], 'conrey_index': 65, '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, [0, 1]], [7, [0, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007268041326720, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 4, 'hecke_ring_index_factorization': [[2, 2]], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 4, 2, -1, 2, -4], [1, 1, 8, 2, 1, 2, 0], [1, 1, 8, 4, -1, 2, 0]], 'is_cm': True, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': True, 'is_twist_minimal': True, 'label': '128.4.b.c', 'level': 128, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2], 'level_radical': 2, 'minimal_twist': '128.4.b.c', 'nf_label': '2.0.4.1', 'prim_orbit_index': 2, 'qexp_display': 'q+\\beta q^{5}+27 q^{9}+23\\beta q^{13}+94 q^{17}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '3.2.1.d2', 'self_twist_discs': [-4], 'self_twist_type': 1, 'space_label': '128.4.b', 'trace_display': [0, 0, 0, 0], 'trace_hash': 640432071701762628, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.852', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '21.968', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.031', 'prec': 17}, {'__RealLiteral__': 0, 'data': '290.888', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.759', 'prec': 17}, 'traces': [2, 0, 0, 0, 0, 0, 0, 0, 54, 0, 0, 0, 0, 0, 0, 0, 188, 0, 0, 0, 0, 0, 0, 0, 218, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -460, 0, 0, 0, 0, 0, 0, 0, -686, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -736, 0, 0, 0, 0, 0, 0, 0, -2196, 0, 0, 0, 0, 0, 0, 0, 1458, 0, 0, 0, 0, 0, 0, 0, 3340, 0, 0, 0, 0, 0, 0, 0, -1188, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4004, 0, 0, 0, 0, 0, 0, 0, 2662, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3212, 0, 0, 0, 0, 0, 0, 0, -2272, 0, 0, 0, 0, 0, 0, 0, 5076, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12534, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3168, 0, 0, 0, 0, 0, 0, 0, -10724, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5886, 0, 0, 0, 0, 0, 0, 0, 1196, 0, 0, 0, 0, 0, 0, 0, 10620, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3068, 0, 0, 0, 0, 0, 0, 0, 4576, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14860, 0, 0, 0, 0, 0, 0, 0, 7846, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3744, 0, 0, 0, 0, 0, 0, 0, -13676, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24732, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6596, 0, 0, 0, 0, 0, 0, 0, 13718, 0, 0, 0, 0, 0, 0, 0, -12420, 0, 0, 0, 0, 0, 0, 0, -52256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4796, 0, 0, 0, 0, 0, 0, 0, 14292, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20492, 0, 0, 0, 0, 0, 0, 0, 9724, 0, 0, 0, 0, 0, 0, 0, -18522, 0, 0, 0, 0, 0, 0, 0, -32228, 0, 0, 0, 0, 0, 0, 0, 33012, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72864, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -15520, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 47476, 0, 0, 0, 0, 0, 0, 0, -24334, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 11680, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -53612, 0, 0, 0, 0, 0, 0, 0, -6908, 0, 0, 0, 0, 0, 0, 0, -19872, 0, 0, 0, 0, 0, 0, 0, -31004, 0, 0, 0, 0, 0, 0, 0, 34060, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -30932, 0, 0, 0, 0, 0, 0, 0, 19762, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -57700, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -59292, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8924, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 105248, 0, 0, 0, 0, 0, 0, 0, -43240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 39366, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7520, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 63764, 0, 0, 0, 0, 0, 0, 0, -19300, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 31392, 0, 0, 0, 0, 0, 0, 0, 86112, 0, 0, 0, 0, 0, 0, 0, 90180, 0, 0, 0, 0, 0, 0, 0, -46540, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64484, 0, 0, 0, 0, 0, 0, 0, -112534, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 91988, 0, 0, 0, 0, 0, 0, 0, -16096, 0, 0, 0, 0, 0, 0, 0, -32076, 0, 0, 0, 0, 0, 0, 0, -14300, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 22880, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -61732, 0, 0, 0, 0, 0, 0, 0, -103892, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -113516, 0, 0, 0, 0, 0, 0, 0, -59582, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 113212, 0, 0, 0, 0, 0, 0, 0, 43232, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'weight': 4, '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, 0.0], [0.0, 0.0], [0.0, -0.35777087639996635], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -1.9627853097200416], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.341079338436194, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.872, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -1.8185336566304389], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.7595134857546348], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.8760967130336438, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.35777087639996635], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.482457407144342], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.9823157345671363], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.7022274204435186, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.7604271181007036, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.47979913023420423], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.9889847860793497, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.6217686825663605, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0]], 'angles': [None, 0.0, -0.4713754264756499, -0.25, 0.0, -0.28075056271649823, -0.133031304433946, 0.0, -0.25, -0.3183215876137349, -0.25, 0.17114731493311985, -0.3221650687840841, 0.0, -0.25, 0.13287829917435712, 0.0, 0.08171309243554328, 0.0, -0.25, -0.4213003768298622, -0.25, 0.0, -0.01671152673402913, -0.30031259187851517, -0.29758827614583033, -0.25, 0.0, 0.11083963138338648, -0.09321604304758038, -0.25, 0.0, -0.3334741123175002, 0.0, 0.041600168321322184, -0.25, 0.23842049721637681, 0.0, -0.25, -0.4271153144787066, 0.0, 0.09989343746513883, -0.25, -0.49786302363725615, 0.21595319350020936, -0.25, 0.0, -0.25, 0.0, 0.06328869473826204, -0.2366041479479258, -0.25, -0.1244284764844796, 0.0, -0.27980278645831125, -0.25, -0.3130716002402291, -0.25, -0.4772064477324367, -0.10538312803115565, 0.0, 0.055915306731307776, 0.0, -0.25, -0.35591158297801223, 0.0679768882280755, 0.0, -0.49464794618992725, 0.0, 0.1206324083603812, -0.21000936371229226, -0.25, -0.25, -0.427087545892777, 0.0, -0.25, 0.246120459004501, 0.14604640311435724, -0.22614662311573544, -0.17891028658376557, 0.0, -0.3585422165759835, -0.25, -0.20652005859839406, -0.25, 0.0, -0.41075038515990614, -0.089869148896355, -0.2686788283244998, -0.25, 0.0, -0.25, -0.25, 0.0, 0.0, -0.25, -0.3567022172107229, -0.009910052141891161, 0.0, -0.28780545781773653], 'char_orbit_index': 2, 'conrey_index': 65, 'dual_conrey_index': 65, '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': 3, 'hecke_orbit_code': 9007268041326720, 'label': '128.4.b.c.65.1', 'level': 128, 'weight': 4}
• 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': 2048, 'analytic_conductor': 7.552244480734799, 'char_conductor': 8, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 2, 'char_orbit_label': 'b', 'char_order': 2, 'char_parity': 1, 'char_values': [128, 2, [127, 5], [2, 1]], 'conrey_index': 65, 'cusp_dim': 40, 'dim': 12, 'eis_dim': 16, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 7], 'hecke_orbit_code': 68786585728, 'hecke_orbit_dims': [2, 2, 2, 2, 4], 'label': '128.4.b', 'level': 128, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2], 'level_radical': 2, 'mf_dim': 56, 'mf_new_dim': 12, 'num_forms': 5, 'prim_orbit_index': 2, 'relative_dim': 12, 'sturm_bound': 64, 'trace_bound': 9, 'trace_display': [0, 0, 0, 0], 'traces': [12, 0, 0, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, 0, 0, 0, -104, 0, 0, 0, 0, 0, 0, 0, -388, 0, 0, 0, 0, 0, 0, 0, 464, 0, 0, 0, 0, 0, 0, 0, -552, 0, 0, 0, 0, 0, 0, 0, 2028, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, -416, 0, 0, 0, 0, 0, 0, 0, 1752, 0, 0, 0, 0, 0, 0, 0, -3332, 0, 0, 0, 0, 0, 0, 0, 1432, 0, 0, 0, 0, 0, 0, 0, 1624, 0, 0, 0, 0, 0, 0, 0, -2048, 0, 0, 0, 0, 0, 0, 0, -1384, 0, 0, 0, 0, 0, 0, 0, -2124, 0, 0, 0, 0, 0, 0, 0, -10096, 0, 0, 0, 0, 0, 0, 0, 2072, 0, 0, 0, 0, 0, 0, 0, -2976, 0, 0, 0, 0, 0, 0, 0, 12520, 0, 0, 0, 0, 0, 0, 0, 10240, 0, 0, 0, 0, 0, 0, 0, 6556, 0, 0, 0, 0, 0, 0, 0, 12816, 0, 0, 0, 0, 0, 0, 0, -28128, 0, 0, 0, 0, 0, 0, 0, -5928, 0, 0, 0, 0, 0, 0, 0, -5872, 0, 0, 0, 0, 0, 0, 0, -624, 0, 0, 0, 0, 0, 0, 0, 32768, 0, 0, 0, 0, 0, 0, 0, 23588, 0, 0, 0, 0, 0, 0, 0, -18984, 0, 0, 0, 0, 0, 0, 0, 1176, 0, 0, 0, 0, 0, 0, 0, -34480, 0, 0, 0, 0, 0, 0, 0, -24744, 0, 0, 0, 0, 0, 0, 0, 9888, 0, 0, 0, 0, 0, 0, 0, -30720, 0, 0, 0, 0, 0, 0, 0, 26520, 0, 0, 0, 0, 0, 0, 0, 32932, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 50912, 0, 0, 0, 0, 0, 0, 0, -56808, 0, 0, 0, 0, 0, 0, 0, -70320, 0, 0, 0, 0, 0, 0, 0, 12288, 0, 0, 0, 0, 0, 0, 0, -41064, 0, 0, 0, 0, 0, 0, 0, 83968, 0, 0, 0, 0, 0, 0, 0, 69912, 0, 0, 0, 0, 0, 0, 0, -8108, 0, 0, 0, 0, 0, 0, 0, 31976, 0, 0, 0, 0, 0, 0, 0, -29536, 0, 0, 0, 0, 0, 0, 0, -83968, 0, 0, 0, 0, 0, 0, 0, 63376, 0, 0, 0, 0, 0, 0, 0, -64616, 0, 0, 0, 0, 0, 0, 0, 81304, 0, 0, 0, 0, 0, 0, 0, 84624, 0, 0, 0, 0, 0, 0, 0, -49160, 0, 0, 0, 0, 0, 0, 0, 79512, 0, 0, 0, 0, 0, 0, 0, -141132, 0, 0, 0, 0, 0, 0, 0, -61608, 0, 0, 0, 0, 0, 0, 0, -15784, 0, 0, 0, 0, 0, 0, 0, -98304, 0, 0, 0, 0, 0, 0, 0, 82448, 0, 0, 0, 0, 0, 0, 0, 92384, 0, 0, 0, 0, 0, 0, 0, -14640, 0, 0, 0, 0, 0, 0, 0, 63488, 0, 0, 0, 0, 0, 0, 0, -102624, 0, 0, 0, 0, 0, 0, 0, -90400, 0, 0, 0, 0, 0, 0, 0, 19480, 0, 0, 0, 0, 0, 0, 0, -41556, 0, 0, 0, 0, 0, 0, 0, 174288, 0, 0, 0, 0, 0, 0, 0, 74720, 0, 0, 0, 0, 0, 0, 0, -53248, 0, 0, 0, 0, 0, 0, 0, 139488, 0, 0, 0, 0, 0, 0, 0, -221992, 0, 0, 0, 0, 0, 0, 0, -180520, 0, 0, 0, 0, 0, 0, 0, -992, 0, 0, 0, 0, 0, 0, 0, -23848, 0, 0, 0, 0, 0, 0, 0, 117528, 0, 0, 0, 0, 0, 0, 0, 247808, 0, 0, 0, 0, 0, 0, 0, 51032, 0, 0, 0, 0, 0, 0, 0, -27444, 0, 0, 0, 0, 0, 0, 0, -136240, 0, 0, 0, 0, 0, 0, 0, -41000, 0, 0, 0, 0, 0, 0, 0, 73616, 0, 0, 0, 0, 0, 0, 0, -69848, 0, 0, 0, 0, 0, 0, 0, 268288, 0, 0, 0, 0, 0, 0, 0, 77272, 0, 0, 0, 0, 0, 0, 0, -77744, 0, 0, 0, 0, 0, 0, 0, 90208, 0, 0, 0, 0, 0, 0, 0, -148176, 0, 0, 0, 0, 0, 0, 0, -266240, 0, 0, 0, 0, 0, 0, 0, -32768, 0, 0, 0, 0, 0, 0, 0, -141312, 0, 0, 0, 0, 0, 0, 0, 134148, 0, 0, 0, 0, 0, 0, 0, 97936, 0, 0, 0, 0, 0, 0, 0, 38176, 0, 0, 0, 0, 0, 0, 0, 18704, 0, 0, 0, 0, 0, 0, 0, -102120, 0, 0, 0, 0, 0, 0, 0, -680, 0, 0, 0, 0, 0, 0, 0, 120832, 0, 0, 0, 0, 0, 0, 0, -107808, 0, 0, 0, 0, 0, 0, 0, 120352, 0, 0, 0, 0, 0, 0, 0, -6552, 0, 0, 0, 0, 0, 0, 0, -121384, 0, 0, 0, 0, 0, 0, 0, 183632, 0, 0, 0, 0, 0, 0, 0, -263536, 0, 0, 0, 0, 0, 0, 0, -222376, 0, 0, 0, 0, 0, 0, 0, -49700, 0, 0, 0, 0, 0, 0, 0, -67760, 0, 0, 0, 0, 0, 0, 0, 78424, 0, 0, 0, 0, 0, 0, 0, 318048, 0, 0, 0, 0, 0, 0, 0, 30760, 0, 0, 0, 0, 0, 0, 0, 7192, 0, 0, 0, 0, 0, 0, 0, 40960, 0, 0, 0, 0, 0, 0, 0, -51200, 0, 0, 0, 0, 0, 0, 0, 268576, 0, 0, 0, 0, 0, 0, 0, 17616, 0, 0, 0, 0, 0, 0, 0, 177680, 0, 0, 0, 0, 0, 0, 0, -112808, 0, 0, 0, 0, 0, 0, 0, -100392, 0, 0, 0, 0, 0, 0, 0, 266240, 0, 0, 0, 0, 0, 0, 0, -155432, 0, 0, 0, 0, 0, 0, 0, -95348, 0, 0, 0, 0, 0, 0, 0, -356768, 0, 0, 0, 0, 0, 0, 0, -236776, 0, 0, 0, 0, 0, 0, 0, -124000, 0, 0, 0, 0, 0, 0, 0, 388176, 0, 0, 0, 0, 0, 0, 0], 'weight': 4, '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: 40597723
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 65, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007268041326720, 'source_is_minimal': True, 'source_label': '128.4.b.c.65.1', 'source_level': 128, 'target_conrey_index': 65, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007268041326720, 'target_is_minimal': True, 'target_label': '128.4.b.c.65.1', 'target_level': 128, 'twist_class_label': '128.4.b.c.65.1', 'twist_class_level': 128, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 40597724
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 65, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007268041326720, 'source_is_minimal': True, 'source_label': '128.4.b.c.65.1', 'source_level': 128, 'target_conrey_index': 577, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 13511005107651712, 'target_is_minimal': False, 'target_label': '1152.4.d.d.577.2', 'target_level': 1152, 'twist_class_label': '128.4.b.c.65.1', 'twist_class_level': 128, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 40597725
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 65, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007268041326720, 'source_is_minimal': True, 'source_label': '128.4.b.c.65.1', 'source_level': 128, 'target_conrey_index': 65, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007268041326720, 'target_is_minimal': True, 'target_label': '128.4.b.c.65.1', 'target_level': 128, 'twist_class_label': '128.4.b.c.65.1', 'twist_class_level': 128, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 40597726
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 65, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007268041326720, 'source_is_minimal': True, 'source_label': '128.4.b.c.65.1', 'source_level': 128, 'target_conrey_index': 65, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007268041326720, 'target_is_minimal': True, 'target_label': '128.4.b.c.65.2', 'target_level': 128, 'twist_class_label': '128.4.b.c.65.1', 'twist_class_level': 128, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 40597727
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 65, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007268041326720, 'source_is_minimal': True, 'source_label': '128.4.b.c.65.1', 'source_level': 128, 'target_conrey_index': 65, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007268041326720, 'target_is_minimal': True, 'target_label': '128.4.b.c.65.2', 'target_level': 128, 'twist_class_label': '128.4.b.c.65.1', 'twist_class_level': 128, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 4}
  • id: 40597728
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 65, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007268041326720, 'source_is_minimal': True, 'source_label': '128.4.b.c.65.1', 'source_level': 128, 'target_conrey_index': 577, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 13511005107651712, 'target_is_minimal': False, 'target_label': '1152.4.d.d.577.2', 'target_level': 1152, 'twist_class_label': '128.4.b.c.65.1', 'twist_class_level': 128, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 4}
  • id: 40597729
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 65, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007268041326720, 'source_is_minimal': True, 'source_label': '128.4.b.c.65.1', 'source_level': 128, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510798949220608, 'target_is_minimal': False, 'target_label': '256.4.a.d.1.1', 'target_level': 256, 'twist_class_label': '128.4.b.c.65.1', 'twist_class_level': 128, 'twisting_char_label': '16.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 40597730
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 65, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007268041326720, 'source_is_minimal': True, 'source_label': '128.4.b.c.65.1', 'source_level': 128, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014398576591104, 'target_is_minimal': False, 'target_label': '256.4.a.e.1.1', 'target_level': 256, 'twist_class_label': '128.4.b.c.65.1', 'twist_class_level': 128, 'twisting_char_label': '16.5', 'twisting_conrey_index': 5, 'weight': 4}
  • id: 40597731
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 65, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007268041326720, 'source_is_minimal': True, 'source_label': '128.4.b.c.65.1', 'source_level': 128, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014398576591104, 'target_is_minimal': False, 'target_label': '256.4.a.e.1.1', 'target_level': 256, 'twist_class_label': '128.4.b.c.65.1', 'twist_class_level': 128, 'twisting_char_label': '16.11', 'twisting_conrey_index': 11, 'weight': 4}
  • id: 40597732
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 65, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007268041326720, 'source_is_minimal': True, 'source_label': '128.4.b.c.65.1', 'source_level': 128, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510798949220608, 'target_is_minimal': False, 'target_label': '256.4.a.d.1.1', 'target_level': 256, 'twist_class_label': '128.4.b.c.65.1', 'twist_class_level': 128, 'twisting_char_label': '16.13', 'twisting_conrey_index': 13, 'weight': 4}
  • id: 40597733
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 65, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007268041326720, 'source_is_minimal': True, 'source_label': '128.4.b.c.65.1', 'source_level': 128, 'target_conrey_index': 577, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13511005107651712, 'target_is_minimal': False, 'target_label': '1152.4.d.d.577.1', 'target_level': 1152, 'twist_class_label': '128.4.b.c.65.1', 'twist_class_level': 128, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 4}
  • id: 40597734
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 65, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007268041326720, 'source_is_minimal': True, 'source_label': '128.4.b.c.65.1', 'source_level': 128, 'target_conrey_index': 577, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13511005107651712, 'target_is_minimal': False, 'target_label': '1152.4.d.d.577.1', 'target_level': 1152, 'twist_class_label': '128.4.b.c.65.1', 'twist_class_level': 128, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 4}
  • id: 40597735
    {'conductor': 48, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 65, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007268041326720, 'source_is_minimal': True, 'source_label': '128.4.b.c.65.1', 'source_level': 128, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021597831334144, 'target_is_minimal': False, 'target_label': '2304.4.a.g.1.1', 'target_level': 2304, 'twist_class_label': '128.4.b.c.65.1', 'twist_class_level': 128, 'twisting_char_label': '48.5', 'twisting_conrey_index': 5, 'weight': 4}
  • id: 40597736
    {'conductor': 48, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 65, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007268041326720, 'source_is_minimal': True, 'source_label': '128.4.b.c.65.1', 'source_level': 128, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021597831334144, 'target_is_minimal': False, 'target_label': '2304.4.a.g.1.1', 'target_level': 2304, 'twist_class_label': '128.4.b.c.65.1', 'twist_class_level': 128, 'twisting_char_label': '48.11', 'twisting_conrey_index': 11, 'weight': 4}
  • id: 40597737
    {'conductor': 48, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 65, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007268041326720, 'source_is_minimal': True, 'source_label': '128.4.b.c.65.1', 'source_level': 128, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40532396713445632, 'target_is_minimal': False, 'target_label': '2304.4.a.j.1.1', 'target_level': 2304, 'twist_class_label': '128.4.b.c.65.1', 'twist_class_level': 128, 'twisting_char_label': '48.29', 'twisting_conrey_index': 29, 'weight': 4}
  • id: 40597738
    {'conductor': 48, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 65, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007268041326720, 'source_is_minimal': True, 'source_label': '128.4.b.c.65.1', 'source_level': 128, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40532396713445632, 'target_is_minimal': False, 'target_label': '2304.4.a.j.1.1', 'target_level': 2304, 'twist_class_label': '128.4.b.c.65.1', 'twist_class_level': 128, 'twisting_char_label': '48.35', 'twisting_conrey_index': 35, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 356050
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 9007268041326720, 'p': 2}
  • id: 356051
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 9007268041326720, 'p': 3}
  • id: 356052
    {'charpoly_factorization': [[[16, 0, 1], 1]], 'hecke_orbit_code': 9007268041326720, 'p': 5}
  • id: 356053
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 9007268041326720, 'p': 7}
  • id: 356054
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 9007268041326720, 'p': 11}
  • id: 356055
    {'charpoly_factorization': [[[8464, 0, 1], 1]], 'hecke_orbit_code': 9007268041326720, 'p': 13}
  • id: 356056
    {'charpoly_factorization': [[[-94, 1], 2]], 'hecke_orbit_code': 9007268041326720, 'p': 17}
  • id: 356057
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 9007268041326720, 'p': 19}
  • id: 356058
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 9007268041326720, 'p': 23}
  • id: 356059
    {'charpoly_factorization': [[[80656, 0, 1], 1]], 'hecke_orbit_code': 9007268041326720, 'p': 29}
  • id: 356060
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 9007268041326720, 'p': 31}
  • id: 356061
    {'charpoly_factorization': [[[156816, 0, 1], 1]], 'hecke_orbit_code': 9007268041326720, 'p': 37}
  • id: 356062
    {'charpoly_factorization': [[[230, 1], 2]], 'hecke_orbit_code': 9007268041326720, 'p': 41}
  • id: 356063
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 9007268041326720, 'p': 43}
  • id: 356064
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 9007268041326720, 'p': 47}
  • id: 356065
    {'charpoly_factorization': [[[327184, 0, 1], 1]], 'hecke_orbit_code': 9007268041326720, 'p': 53}
  • id: 356066
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 9007268041326720, 'p': 59}
  • id: 356067
    {'charpoly_factorization': [[[219024, 0, 1], 1]], 'hecke_orbit_code': 9007268041326720, 'p': 61}
  • id: 356068
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 9007268041326720, 'p': 67}
  • id: 356069
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 9007268041326720, 'p': 71}
  • id: 356070
    {'charpoly_factorization': [[[1098, 1], 2]], 'hecke_orbit_code': 9007268041326720, 'p': 73}
  • id: 356071
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 9007268041326720, 'p': 79}
  • id: 356072
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 9007268041326720, 'p': 83}
  • id: 356073
    {'charpoly_factorization': [[[-1670, 1], 2]], 'hecke_orbit_code': 9007268041326720, 'p': 89}
  • id: 356074
    {'charpoly_factorization': [[[594, 1], 2]], 'hecke_orbit_code': 9007268041326720, 'p': 97}
• mf_newform_portraits •

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

  
  {'char_orbit_index': 2, 'hecke_orbit': 3, 'label': '128.4.b.c', 'level': 128, 'portrait': 'data:image/png;base64,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', 'weight': 4}
• 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: 29703001
    {'hecke_orbit_code': 9007268041326720, 'n': 1, 'trace_an': 2}
  • id: 29703002
    {'hecke_orbit_code': 9007268041326720, 'n': 2, 'trace_an': 0}
  • id: 29703003
    {'hecke_orbit_code': 9007268041326720, 'n': 3, 'trace_an': 0}
  • id: 29703004
    {'hecke_orbit_code': 9007268041326720, 'n': 4, 'trace_an': 0}
  • id: 29703005
    {'hecke_orbit_code': 9007268041326720, 'n': 5, 'trace_an': 0}
  • id: 29703006
    {'hecke_orbit_code': 9007268041326720, 'n': 6, 'trace_an': 0}
  • id: 29703007
    {'hecke_orbit_code': 9007268041326720, 'n': 7, 'trace_an': 0}
  • id: 29703008
    {'hecke_orbit_code': 9007268041326720, 'n': 8, 'trace_an': 0}
  • id: 29703009
    {'hecke_orbit_code': 9007268041326720, 'n': 9, 'trace_an': 54}
  • id: 29703010
    {'hecke_orbit_code': 9007268041326720, 'n': 10, 'trace_an': 0}
  • id: 29703011
    {'hecke_orbit_code': 9007268041326720, 'n': 11, 'trace_an': 0}
  • id: 29703012
    {'hecke_orbit_code': 9007268041326720, 'n': 12, 'trace_an': 0}
  • id: 29703013
    {'hecke_orbit_code': 9007268041326720, 'n': 13, 'trace_an': 0}
  • id: 29703014
    {'hecke_orbit_code': 9007268041326720, 'n': 14, 'trace_an': 0}
  • id: 29703015
    {'hecke_orbit_code': 9007268041326720, 'n': 15, 'trace_an': 0}
  • id: 29703016
    {'hecke_orbit_code': 9007268041326720, 'n': 16, 'trace_an': 0}
  • id: 29703017
    {'hecke_orbit_code': 9007268041326720, 'n': 17, 'trace_an': 188}
  • id: 29703018
    {'hecke_orbit_code': 9007268041326720, 'n': 18, 'trace_an': 0}
  • id: 29703019
    {'hecke_orbit_code': 9007268041326720, 'n': 19, 'trace_an': 0}
  • id: 29703020
    {'hecke_orbit_code': 9007268041326720, 'n': 20, 'trace_an': 0}
  • id: 29703021
    {'hecke_orbit_code': 9007268041326720, 'n': 21, 'trace_an': 0}
  • id: 29703022
    {'hecke_orbit_code': 9007268041326720, 'n': 22, 'trace_an': 0}
  • id: 29703023
    {'hecke_orbit_code': 9007268041326720, 'n': 23, 'trace_an': 0}
  • id: 29703024
    {'hecke_orbit_code': 9007268041326720, 'n': 24, 'trace_an': 0}
  • id: 29703025
    {'hecke_orbit_code': 9007268041326720, 'n': 25, 'trace_an': 218}
  • id: 29703026
    {'hecke_orbit_code': 9007268041326720, 'n': 26, 'trace_an': 0}
  • id: 29703027
    {'hecke_orbit_code': 9007268041326720, 'n': 27, 'trace_an': 0}
  • id: 29703028
    {'hecke_orbit_code': 9007268041326720, 'n': 28, 'trace_an': 0}
  • id: 29703029
    {'hecke_orbit_code': 9007268041326720, 'n': 29, 'trace_an': 0}
  • id: 29703030
    {'hecke_orbit_code': 9007268041326720, 'n': 30, 'trace_an': 0}
  • id: 29703031
    {'hecke_orbit_code': 9007268041326720, 'n': 31, 'trace_an': 0}
  • id: 29703032
    {'hecke_orbit_code': 9007268041326720, 'n': 32, 'trace_an': 0}
  • id: 29703033
    {'hecke_orbit_code': 9007268041326720, 'n': 33, 'trace_an': 0}
  • id: 29703034
    {'hecke_orbit_code': 9007268041326720, 'n': 34, 'trace_an': 0}
  • id: 29703035
    {'hecke_orbit_code': 9007268041326720, 'n': 35, 'trace_an': 0}
  • id: 29703036
    {'hecke_orbit_code': 9007268041326720, 'n': 36, 'trace_an': 0}
  • id: 29703037
    {'hecke_orbit_code': 9007268041326720, 'n': 37, 'trace_an': 0}
  • id: 29703038
    {'hecke_orbit_code': 9007268041326720, 'n': 38, 'trace_an': 0}
  • id: 29703039
    {'hecke_orbit_code': 9007268041326720, 'n': 39, 'trace_an': 0}
  • id: 29703040
    {'hecke_orbit_code': 9007268041326720, 'n': 40, 'trace_an': 0}
  • id: 29703041
    {'hecke_orbit_code': 9007268041326720, 'n': 41, 'trace_an': -460}
  • id: 29703042
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  • id: 29703043
    {'hecke_orbit_code': 9007268041326720, 'n': 43, 'trace_an': 0}
  • id: 29703044
    {'hecke_orbit_code': 9007268041326720, 'n': 44, 'trace_an': 0}
  • id: 29703045
    {'hecke_orbit_code': 9007268041326720, 'n': 45, 'trace_an': 0}
  • id: 29703046
    {'hecke_orbit_code': 9007268041326720, 'n': 46, 'trace_an': 0}
  • id: 29703047
    {'hecke_orbit_code': 9007268041326720, 'n': 47, 'trace_an': 0}
  • id: 29703048
    {'hecke_orbit_code': 9007268041326720, 'n': 48, 'trace_an': 0}
  • id: 29703049
    {'hecke_orbit_code': 9007268041326720, 'n': 49, 'trace_an': -686}
  • id: 29703050
    {'hecke_orbit_code': 9007268041326720, 'n': 50, 'trace_an': 0}
  • id: 29703051
    {'hecke_orbit_code': 9007268041326720, 'n': 51, 'trace_an': 0}
  • id: 29703052
    {'hecke_orbit_code': 9007268041326720, 'n': 52, 'trace_an': 0}
  • id: 29703053
    {'hecke_orbit_code': 9007268041326720, 'n': 53, 'trace_an': 0}
  • id: 29703054
    {'hecke_orbit_code': 9007268041326720, 'n': 54, 'trace_an': 0}
  • id: 29703055
    {'hecke_orbit_code': 9007268041326720, 'n': 55, 'trace_an': 0}
  • id: 29703056
    {'hecke_orbit_code': 9007268041326720, 'n': 56, 'trace_an': 0}
  • id: 29703057
    {'hecke_orbit_code': 9007268041326720, 'n': 57, 'trace_an': 0}
  • id: 29703058
    {'hecke_orbit_code': 9007268041326720, 'n': 58, 'trace_an': 0}
  • id: 29703059
    {'hecke_orbit_code': 9007268041326720, 'n': 59, 'trace_an': 0}
  • id: 29703060
    {'hecke_orbit_code': 9007268041326720, 'n': 60, 'trace_an': 0}
  • id: 29703061
    {'hecke_orbit_code': 9007268041326720, 'n': 61, 'trace_an': 0}
  • id: 29703062
    {'hecke_orbit_code': 9007268041326720, 'n': 62, 'trace_an': 0}
  • id: 29703063
    {'hecke_orbit_code': 9007268041326720, 'n': 63, 'trace_an': 0}
  • id: 29703064
    {'hecke_orbit_code': 9007268041326720, 'n': 64, 'trace_an': 0}
  • id: 29703065
    {'hecke_orbit_code': 9007268041326720, 'n': 65, 'trace_an': -736}
  • id: 29703066
    {'hecke_orbit_code': 9007268041326720, 'n': 66, 'trace_an': 0}
  • id: 29703067
    {'hecke_orbit_code': 9007268041326720, 'n': 67, 'trace_an': 0}
  • id: 29703068
    {'hecke_orbit_code': 9007268041326720, 'n': 68, 'trace_an': 0}
  • id: 29703069
    {'hecke_orbit_code': 9007268041326720, 'n': 69, 'trace_an': 0}
  • id: 29703070
    {'hecke_orbit_code': 9007268041326720, 'n': 70, 'trace_an': 0}
  • id: 29703071
    {'hecke_orbit_code': 9007268041326720, 'n': 71, 'trace_an': 0}
  • id: 29703072
    {'hecke_orbit_code': 9007268041326720, 'n': 72, 'trace_an': 0}
  • id: 29703073
    {'hecke_orbit_code': 9007268041326720, 'n': 73, 'trace_an': -2196}
  • id: 29703074
    {'hecke_orbit_code': 9007268041326720, 'n': 74, 'trace_an': 0}
  • id: 29703075
    {'hecke_orbit_code': 9007268041326720, 'n': 75, 'trace_an': 0}
  • id: 29703076
    {'hecke_orbit_code': 9007268041326720, 'n': 76, 'trace_an': 0}
  • id: 29703077
    {'hecke_orbit_code': 9007268041326720, 'n': 77, 'trace_an': 0}
  • id: 29703078
    {'hecke_orbit_code': 9007268041326720, 'n': 78, 'trace_an': 0}
  • id: 29703079
    {'hecke_orbit_code': 9007268041326720, 'n': 79, 'trace_an': 0}
  • id: 29703080
    {'hecke_orbit_code': 9007268041326720, 'n': 80, 'trace_an': 0}
  • id: 29703081
    {'hecke_orbit_code': 9007268041326720, 'n': 81, 'trace_an': 1458}
  • id: 29703082
    {'hecke_orbit_code': 9007268041326720, 'n': 82, 'trace_an': 0}
  • id: 29703083
    {'hecke_orbit_code': 9007268041326720, 'n': 83, 'trace_an': 0}
  • id: 29703084
    {'hecke_orbit_code': 9007268041326720, 'n': 84, 'trace_an': 0}
  • id: 29703085
    {'hecke_orbit_code': 9007268041326720, 'n': 85, 'trace_an': 0}
  • id: 29703086
    {'hecke_orbit_code': 9007268041326720, 'n': 86, 'trace_an': 0}
  • id: 29703087
    {'hecke_orbit_code': 9007268041326720, 'n': 87, 'trace_an': 0}
  • id: 29703088
    {'hecke_orbit_code': 9007268041326720, 'n': 88, 'trace_an': 0}
  • id: 29703089
    {'hecke_orbit_code': 9007268041326720, 'n': 89, 'trace_an': 3340}
  • id: 29703090
    {'hecke_orbit_code': 9007268041326720, 'n': 90, 'trace_an': 0}
  • id: 29703091
    {'hecke_orbit_code': 9007268041326720, 'n': 91, 'trace_an': 0}
  • id: 29703092
    {'hecke_orbit_code': 9007268041326720, 'n': 92, 'trace_an': 0}
  • id: 29703093
    {'hecke_orbit_code': 9007268041326720, 'n': 93, 'trace_an': 0}
  • id: 29703094
    {'hecke_orbit_code': 9007268041326720, 'n': 94, 'trace_an': 0}
  • id: 29703095
    {'hecke_orbit_code': 9007268041326720, 'n': 95, 'trace_an': 0}
  • id: 29703096
    {'hecke_orbit_code': 9007268041326720, 'n': 96, 'trace_an': 0}
  • id: 29703097
    {'hecke_orbit_code': 9007268041326720, 'n': 97, 'trace_an': -1188}
  • id: 29703098
    {'hecke_orbit_code': 9007268041326720, 'n': 98, 'trace_an': 0}
  • id: 29703099
    {'hecke_orbit_code': 9007268041326720, 'n': 99, 'trace_an': 0}
  • id: 29703100
    {'hecke_orbit_code': 9007268041326720, 'n': 100, 'trace_an': 0}