Embedded newform data - 420.2.l.b.239.3

Formats: - HTML - YAML - JSON - 2026-08-25T23:51:58.225899

• 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': 1680, 'analytic_conductor': 3.353716884893776, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 60, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 12, 'char_orbit_label': 'l', 'char_order': 2, 'char_parity': 1, 'char_values': [420, 2, [211, 281, 337, 241], [1, 1, 1, 2]], 'cm_discs': [], 'conrey_index': 239, 'dim': 4, 'field_disc': 256, 'field_disc_factorization': [[2, 8]], 'field_poly': [1, 0, 0, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 8, 'has_non_self_twist': 1, 'hecke_cutters': [[11, [-18, 0, 1]], [17, [-18, 0, 1]], [43, [8, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4504355575169444, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 9, 'hecke_ring_index_factorization': [[3, 2]], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0], [1, 1, 20, 4, -1, 2, 0], [1, 1, 60, 8, 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': '420.2.l.b', 'level': 420, '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, 3, 5, 7], 'level_radical': 210, 'minimal_twist': '420.2.l.a', 'nf_label': '4.0.256.1', 'prim_orbit_index': 8, 'qexp_display': 'q+\\beta_{2} q^{2}+(-\\beta_{2}+1)q^{3}-2 q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '420.2.l', 'trace_display': [0, 4, 0, -4], 'trace_hash': 1589748820313819259, 'trace_moments': [0, {'__RealLiteral__': 0, 'data': '3.556', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.374', 'prec': 10}, {'__RealLiteral__': 0, 'data': '104.350', 'prec': 20}, {'__RealLiteral__': 0, 'data': '85.156', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3827.692', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.759', 'prec': 10}, 'traces': [4, 0, 4, -8, 0, 8, -4, 0, -4, -4, 0, -8, 0, 0, 4, 16, 0, 16, 0, 0, -4, 0, 0, -16, 16, 0, -20, 8, 0, -4, 0, 0, 0, 0, 0, 8, 0, 0, 0, 8, 0, -8, -32, 0, 8, 8, 0, 16, 4, 0, 0, 0, 0, 8, 36, 0, 0, 16, 0, -8, -40, 0, 4, -32, 0, 0, 16, 0, -8, 4, 0, -32, 0, 0, 16, 0, 0, 0, 0, 0, -28, -8, 0, 8, 36, 0, -16, 0, 0, 4, 0, 0, 0, -16, 0, 32, 0, 0, 0, -32, 0, 0, -56, 0, -4, 0, 0, 40, 8, 0, 0, -16, 0, 0, 4, 0, 0, 0, 0, 8, 28, 0, 8, 0, 0, -16, 64, 0, -32, -72, 0, 0, 0, 0, 4, 0, 0, 8, 0, 0, 16, 0, 0, -16, 8, 0, 4, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, -32, -80, 0, 36, -16, 0, 16, -92, 0, 0, 64, 0, 16, -16, 0, 0, 40, 0, -16, 8, 0, -40, -16, 0, 0, 72, 0, 20, 72, 0, -32, 0, 0, 72, -8, 0, 0, 0, 0, 16, 88, 0, 0, -4, 0, -16, 0, 0, 4, 0, 0, 0, -40, 0, -16, 0, 0, 0, -72, 0, 0, -32, 0, -16, 0, 0, 0, 56, 0, 0, -32, 0, 0, -8, 0, 0, 0, 0, 16, 104, 0, 4, 80, 0, -8, 144, 0, 16, -52, 0, -8, 0, 0, 36, 64, 0, -64, 0, 0, -32, 0, 0, 0, -72, 0, -40, -32, 0, 20, 0, 0, 0, 0, 0, 16, 0, 0, 0, -8, 0, -16, 16, 0, -72, -144, 0, 64, 4, 0, 0, 0, 0, 8, 0, 0, 0, 64, 0, -32, 32, 0, -88, 0, 0, 0, -80, 0, -56, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 40, -8, 0, 56, -72, 0, 8, 16, 0, 72, 0, 0, 0, 80, 0, -16, 0, 0, 0, -72, 0, 0, -4, 0, 4, 0, 0, 32, 104, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, -8, -68, 0, 28, 0, 0, -80, -32, 0, 16, -72, 0, 0, 0, 0, 52, 32, 0, -8, 0, 0, 64, 0, 0, -64, -36, 0, 32, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 32, 0, 0, -16, -16, 0, 0, -88, 0, 0, 112, 0, -8, -8, 0, 0, 144, 0, 8, 32, 0, 32, 0, 0, 0, 40, 0, 144, 32, 0, -80, 0, 0, 8, -16, 0, 0, 0, 0, -4, -144, 0, 0, 20, 0, -64, 32, 0, 64, 0, 0, 0, 128, 0, 0, 0, 0, 0, -8, 0, 0, 16, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, -16, -144, 0, 8, -56, 0, -88, -80, 0, -80, -4, 0, -16, 0, 0, -36, 0, 0, -16, 0, 0, -80, 0, 0, 32, 44, 0, -92, -128, 0, 72, 0, 0, 0, 0, 0, 64, 0, 0, 0, 144, 0, -16, 136, 0, -16, -88, 0, 0, 84, 0, 0, 0, 0, 40, -20, 0, 0, -104, 0, -8, -64, 0, 8, 0, 0, 0, 112, 0, 40, -72, 0, -16, 0, 0, 72, 0, 0, 0, 0, 0, 72, 16, 0, -32, 72, 0, 28, 0, 0, 72, 0, 0, 0, 8, 0, 32, 0, 0, 0, -16, 0, 0, -144, 0, 144, 0, 0, -8, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, -64, -40, 0, -16, 0, 0, 88, -128, 0, 16, 40, 0, 0, 0, 0, -4, 0, 0, -112, 0, 0, -8, 0, 0, 0, 28, 0, -144, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, -40, 16, 0, -32, 144, 0, 64, 0, 0, 0, 160, 0, 16, 72, 0, 0, 16, 0, -72, 56, 0, 144, 32, 0, 0, -16, 0, -32, -16, 0, -32, 0, 0, -80, 184, 0, 0, 0, 0, -128, 0, 0, 0, -144, 0, 56, -128, 0, 8, 0, 0, 0, 8, 0, -32, 0, 0, 0, 32, 0, 0, 144, 0, -8, 0, 0, 0, -40, 0, 0, -80, 0, 0, -72, 0, 0, 0, 0, 32, 56, 0, 104, -16, 0, 56, -104, 0, 92, 72, 0, 80, 0, 0, 4, 32, 0, 8, 0, 0, 144, 0, 0, 0, 32, 0, 32, -144, 0, -52, 0, 0, 0, 0, 0, -40, 0, 0, 0, -144, 0, 128, -8, 0, -36, -64, 0, 64, 56, 0, 0, 0, 0, -128, 0, 0, 0, 16, 0, -144, -216, 0, -16, 16, 0, 0, 88, 0, 88, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, -80, -80, 0, -32, -4, 0, 104, -176, 0, 28, 0, 0, 0, -144, 0, 0, 0, 0, 0, 8, 0, 0, 160, 0, 72, 0, 0, 32, 8, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, -8, 84, 0, -16, 0, 0, 16, -28, 0, 16, -72, 0, 0, 0, 0, -144, 80, 0, -144, 0, 0, -8, 0, 0, 32, 108, 0, 4, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 16, 64, 0, 0, 200, 0, 0, -64, 0, 0, 64, 0, 64, -36, 0, 0, -32, 0, 32, -144, 0, 32, 0, 0, 0, -32, 0, -176, 72, 0, 0, 0, 0, -40, -112, 0, 0, 0, 0, -80, 88, 0, 0, -72, 0, 56, 64, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 16, 0, 0, 8, 0, -4, 0, 0, 0, 144, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, -32, 124, 0, 80, -208, 0, -8, 16, 0, -144, 72, 0, -8, 0, 0, -72, -160, 0, -160, 0, 0, -8, 0, 0, 16, 216, 0, -16, -288, 0, 144, 0, 0, 0, 0, 0, -32, 0, 0, 0, 104], '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, 1.0], [0.5773502691896257, -0.816496580927726], [-1.0, 0.0], [-0.9486832980505138, 0.31622776601683794], [0.816496580927726, 0.5773502691896257], [-0.37796447300922725, 0.0], [0.0, -1.0], [-0.3333333333333333, -0.9428090415820634], [-0.31622776601683794, -0.9486832980505138], [-1.2792042981336627, 0.0], [-0.5773502691896257, 0.816496580927726], [0.0, -1.6641005886756874], [0.0, -0.37796447300922725], [-0.289523667758005, 0.9571708550765388], [1.0, 0.0], [-1.028991510855053, 0.0], [0.9428090415820634, -0.3333333333333333], [0.0, 1.3764944032233706], [0.9486832980505138, -0.31622776601683794], [-0.2182178902359924, 0.3086066999241838], [0.0, -1.2792042981336627], [0.0, -0.29488391230979427], [-0.816496580927726, -0.5773502691896257], [0.8, -0.6], [1.6641005886756874, 0.0], [-0.9622504486493763, -0.2721655269759087], [0.37796447300922725, 0.0], [0.0, -0.5252257314388902], [-0.9571708550765388, -0.289523667758005], [0.0, 0.0], [0.0, 1.0], [-0.7385489458759964, 1.044465935734187], [0.0, -1.028991510855053], [0.3585685828003181, -0.11952286093343936], [0.3333333333333333, 0.9428090415820634], [0.0, -0.9863939238321437], [-1.3764944032233706, 0.0], [-1.3587324409735149, -0.9607689228305228], [0.31622776601683794, 0.9486832980505138], [0.0, 0.2208630521496931], [-0.3086066999241838, -0.2182178902359924], [-1.2199885626608373, 0.0], [1.2792042981336627, 0.0], [0.6143701630168099, 0.7890179356609699], [0.29488391230979427, 0.0], [0.0, 0.41256849850351734], [0.5773502691896257, -0.816496580927726], [0.14285714285714285, 0.0], [0.6, 0.8], [-0.5940885257860046, 0.8401680504168059], [0.0, 1.6641005886756874], [1.165543034828717, 0.0], [0.2721655269759087, -0.9622504486493763], [1.2135597524338357, -0.40451991747794525], [0.0, 0.37796447300922725], [1.1239029738980328, 0.7947194142390263], [0.5252257314388902, 0.0], [0.0, 0.0], [0.289523667758005, -0.9571708550765388], [-1.2803687993289596, 0.0], [0.0, 0.0], [0.12598815766974242, 0.3563483225498992], [-1.0, 0.0], [0.5262348115842175, 1.5787044347526527], [-1.044465935734187, -0.7385489458759964], [0.4886777774252209, 0.0], [1.028991510855053, 0.0], [-0.2407717061715384, -0.17025130615174972], [0.11952286093343936, 0.3585685828003181], [1.5105264449340403, 0.0], [-0.9428090415820634, 0.3333333333333333], [0.0, 0.7022468831767834], [0.9863939238321437, 0.0], [-0.02801773320493501, -0.9996074262559563], [0.0, -1.3764944032233706], [0.48349377841522817, 0.0], [0.9607689228305228, -1.3587324409735149], [0.0, 0.0], [-0.9486832980505138, 0.31622776601683794], [-0.7777777777777778, 0.6285393610547089], [-0.2208630521496931, 0.0], [0.0, 0.3104602102825331], [0.2182178902359924, -0.3086066999241838], [0.9761870601839527, -0.32539568672798425], [0.0, -1.2199885626608373], [-0.4288450139351179, -0.30323921743156135], [0.0, 1.2792042981336627], [0.0, -0.7495316889958614], [-0.7890179356609699, 0.6143701630168099], [0.0, 0.628970902033151], [0.0, 0.29488391230979427], [0.0, 0.0], [-0.41256849850351734, 0.0], [-0.435285750066007, -1.305857250198021], [0.816496580927726, 0.5773502691896257], [0.0, 0.6092076990801715], [0.0, 0.14285714285714285], [0.4264014327112209, 1.2060453783110545], [-0.8, 0.6]], 'angles': [None, None, None, None, -0.36045044208834737, -0.34358352090549943, -0.3360104348113153, 0.1208097759585889, -0.4764480190358718, -0.4577078971925616, 0.0, -0.41791409420171555, 0.017611643738638636, -0.3544141374138193, 0.03306857809124478, -0.1509841293078164, -0.25, -0.36057103081184777, -0.21071453476893873, -0.11375451420861749, 0.05710012560995407, 0.0, 0.02480594954417087, -0.4388615518333724, 0.049262033723748586, -0.35913724128472324, -0.3711354971528588, 0.055517079995380525, -0.23473231515373721, -0.3153411276764724, -0.12437339926085768, -0.3104378808893223, -0.12093222654546079, -0.4150236774288047, -0.4233097121423664, -0.4188135030853078, -0.3724652570234396, -0.39322243382436184, -0.40785148320631126, -0.3303797125903344, -0.22465825290275854, -0.23815918598551486, -0.1738386411768578, -0.3878374823922712, -0.4307513076612178, -0.4658929541696157, -0.43223050513384004, -0.29315820223170536, -0.3648058561613418, -0.17346315323632097, -0.15618892487134065, -0.2719078518055914, -0.09203623667386275, -0.25, -0.27112201951991177, 0.07961324688696562, 0.09468970446305051, 0.12999522451398876, -0.4711542518605629, -0.48655692886888735, -0.23103358162248724, -0.3563615644228974, -0.3466698798043049, -0.3783273589449055, 0.084938741004369, -0.12324262592689704, 0.0, 0.052992050728458154, -0.4939571091620529, -0.12750858792101957, -0.23199197431663496, -0.2678562666953136, -0.28347760799184735, -0.44972359620178004, -0.31220055882802383, 0.04666998378684318, -0.4885782361036986, 0.1356555054312928, 0.05743831777755436, -0.34152930352548333, -0.31802755101205576, -0.21877308307614407, -0.23370905054395474, 0.07118641451671583, 0.07066329831632233, -0.34130928823453155, 0.02130787440076243, 0.0, -0.44100164941929154, -0.2351855014361775, -0.47910922732046446, -0.21895105065710588, -0.32484869847104775, -0.3668823163755211, 0.04327997388978809, -0.47987485042060546, -0.41056740573690764, -0.4752481091420826, -0.11661593009033791, -0.3058820047419087], 'char_orbit_index': 12, 'conrey_index': 239, 'dual_conrey_index': 239, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 3, 'embedding_m': 3, 'embedding_root_imag': 0.7071067811865476, 'embedding_root_real': 0.7071067811865476, 'hecke_orbit': 2, 'hecke_orbit_code': 4504355575169444, 'label': '420.2.l.b.239.3', 'level': 420, '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': 1680, 'analytic_conductor': 3.353716884893776, 'char_conductor': 60, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 12, 'char_orbit_label': 'l', 'char_order': 2, 'char_parity': 1, 'char_values': [420, 2, [211, 281, 337, 241], [1, 1, 1, 2]], 'conrey_index': 239, 'cusp_dim': 88, 'dim': 72, 'eis_dim': 16, 'eis_new_dim': 0, 'hecke_cutter_primes': [11, 17, 43], 'hecke_orbit_code': 755947798948, 'hecke_orbit_dims': [4, 4, 8, 8, 8, 8, 16, 16], 'label': '420.2.l', 'level': 420, '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, 3, 5, 7], 'level_radical': 210, 'mf_dim': 104, 'mf_new_dim': 72, 'num_forms': 8, 'prim_orbit_index': 8, 'relative_dim': 72, 'sturm_bound': 192, 'trace_bound': 7, 'trace_display': [0, 0, 0, 0], 'traces': [72, 0, 0, 4, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, -44, 0, 0, 0, 0, 0, -24, 0, 0, 0, -32, 0, 4, 0, 0, 0, -8, 0, 0, 0, 0, -24, -24, 0, 0, 72, 0, 0, 0, 0, 68, 0, 0, 0, 0, 0, 52, -64, 0, 0, 52, 0, -76, 0, 0, -48, 12, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, -16, 0, 0, 0, 24, 0, 0, 0, 0, -56, 0, 0, 0, -152, 0, 60, 0, 0, 0, -52, 0, 0, 0, 0, 8, -40, 0, 0, -16, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, 96, 88, 0, 0, 80, 0, 20, 0, 0, 0, 40, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 72, 0, 0, -92, -80, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 64, 0, 0, 0, -144, 0, 0, 0, 0, -48, 136, 0, 0, -216, 0, 0, 0, 0, 92, 0, 0, 0, 0, 0, 28, -160, 0, 0, 120, 0, 16, 0, 0, 24, 168, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, -192, 0, 0, -40, 104, 0, 0, 0, 0, -32, 0, 0, 0, -72, 0, -84, 0, 0, 0, 136, 0, 0, 0, 0, 104, 40, 0, 0, 128, 0, 0, 0, 0, 92, 0, 0, 0, 0, 0, -36, 80, 0, 0, 32, 0, 88, 0, 0, 32, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 56, 0, 0, -48, -80, 0, 0, 0, 0, -104, 0, 0, 0, -104, 0, 264, 0, 0, 0, -60, 0, 0, 0, 0, -88, -88, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 68, 0, 0, 0, 56, 0, -44, 0, 0, -216, -120, 0, 0, 0, 0, 0, 296, 0, 0, 0, 0, -128, 0, 0, -92, 64, 0, 0, 0, 0, -120, 0, 0, 0, 72, 0, -56, 0, 0, 0, -160, 0, 0, 0, 0, 56, 424, 0, 0, 96, 0, 0, 0, 0, -104, 0, 0, 0, 0, 0, -196, 72, 0, 0, -24, 0, -136, 0, 0, 128, 40, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 160, 0, 0, 100, -40, 0, 0, 0, 0, 64, 0, 0, 0, -8, 0, -192, 0, 0, 0, 12, 0, 0, 0, 0, -112, -128, 0, 0, -48, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 44, -272, 0, 0, -152, 0, 128, 0, 0, 120, -176, 0, 0, 0, 0, 0, -440, 0, 0, 0, 0, 0, 0, 0, -192, 264, 0, 0, 0, 0, 144, 0, 0, 0, 208, 0, -312, 0, 0, 0, -32, 0, 0, 0, 0, 192, -344, 0, 0, -16, 0, 0, 0, 0, 28, 0, 0, 0, 0, 0, 56, 128, 0, 0, -380, 0, -440, 0, 0, 192, 8, 0, 0, 0, 0, 0, 240, 0, 0, 0, 0, 264, 0, 0, 64, 40, 0, 0, 0, 0, -28, 0, 0, 0, -24, 0, 8, 0, 0, 0, 184, 0, 0, 0, 0, -80, -40, 0, 0, -24, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 76, -240, 0, 0, 136, 0, 116, 0, 0, -96, 144, 0, 0, 0, 0, 0, -296, 0, 0, 0, 0, -136, 0, 0, 280, -176, 0, 0, 0, 0, 332, 0, 0, 0, 120, 0, 244, 0, 0, 0, 192, 0, 0, 0, 0, 168, -88, 0, 0, -112, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, -144, 432, 0, 0, -72, 0, 464, 0, 0, -72, 96, 0, 0, 0, 0, 0, 104, 0, 0, 0, 0, 176, 0, 0, 144, -392, 0, 0, 0, 0, -72, 0, 0, 0, 232, 0, -128, 0, 0, 0, 360, 0, 0, 0, 0, 128, 112, 0, 0, -352, 0, 0, 0, 0, 44, 0, 0, 0, 0, 0, -240, -224, 0, 0, -136, 0, 376, 0, 0, 184, -336, 0, 0, 0, 0, 0, 484, 0, 0, 0, 0, -104, 0, 0, 208, 48, 0, 0, 0, 0, -120, 0, 0, 0, 328, 0, 472, 0, 0, 0, -56, 0, 0, 0, 0, 0, -160, 0, 0, 160, 0, 0, 0, 0, -68, 0, 0, 0, 0, 0, 60, 0, 0, 0, 176, 0, -196, 0, 0, 408, -152, 0, 0, 0, 0, 0, 440, 0, 0, 0, 0, 160, 0, 0, -24, 0, 0, 0, 0, 0, -112, 0, 0, 0, 56, 0, -200, 0, 0, 0, 24, 0, 0, 0, 0, -384, 352, 0, 0, 80, 0, 0, 0, 0, -224, 0, 0, 0, 0, 0, -460, 0, 0, 0, -12, 0, -376, 0, 0, -544, 272, 0, 0, 0, 0, 0, -384, 0, 0, 0, 0, -144, 0, 0, 312, 56, 0, 0, 0, 0, 204, 0, 0, 0, -256, 0, -440, 0, 0, 0, -392, 0, 0, 0, 0, 64, -208, 0, 0, -288, 0, 0, 0, 0, -384, 0, 0, 0, 0, 0, 108, 152, 0, 0, -40, 0, 284, 0, 0, -344, -688, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, 0, 0, -124, -312, 0, 0, 0, 0, 352, 0, 0, 0, 112, 0, -496, 0, 0, 0, 216, 0, 0, 0, 0, -184, 24, 0, 0, 16, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, 156, -96, 0, 0, -72, 0, -572, 0, 0, 64, 144, 0, 0, 0, 0, 0, 384, 0, 0, 0, 0, -296, 0, 0, 88, -48, 0, 0, 0, 0, -152, 0, 0, 0, -32, 0, 184, 0, 0, 0, 424, 0, 0, 0, 0, 104, -592, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 276, -24, 0, 0, -200, 0, 184, 0, 0, 112, 440, 0, 0, 0, 0, 0, -1104, 0, 0, 0, 0, 360, 0, 0, 224, 336, 0, 0, 0, 0, 596, 0, 0, 0, -16, 0, 344, 0, 0, 0, -256], '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: 36278632
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 239, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 4504355575169444, 'source_is_minimal': True, 'source_label': '420.2.l.b.239.3', 'source_level': 420, 'target_conrey_index': 239, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 4504355575169444, 'target_is_minimal': True, 'target_label': '420.2.l.b.239.3', 'target_level': 420, 'twist_class_label': '420.2.l.a.239.1', 'twist_class_level': 420, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 36278633
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 239, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 4504355575169444, 'source_is_minimal': True, 'source_label': '420.2.l.b.239.3', 'source_level': 420, 'target_conrey_index': 239, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4504355575169444, 'target_is_minimal': True, 'target_label': '420.2.l.b.239.2', 'target_level': 420, 'twist_class_label': '420.2.l.a.239.1', 'twist_class_level': 420, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 36278634
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 239, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 4504355575169444, 'source_is_minimal': True, 'source_label': '420.2.l.b.239.3', 'source_level': 420, 'target_conrey_index': 239, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 755947798948, 'target_is_minimal': True, 'target_label': '420.2.l.a.239.1', 'target_level': 420, 'twist_class_label': '420.2.l.a.239.1', 'twist_class_level': 420, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 36278635
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 239, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 4504355575169444, 'source_is_minimal': True, 'source_label': '420.2.l.b.239.3', 'source_level': 420, 'target_conrey_index': 239, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 755947798948, 'target_is_minimal': True, 'target_label': '420.2.l.a.239.2', 'target_level': 420, 'twist_class_label': '420.2.l.a.239.1', 'twist_class_level': 420, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 36278636
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 239, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 4504355575169444, 'source_is_minimal': True, 'source_label': '420.2.l.b.239.3', 'source_level': 420, 'target_conrey_index': 239, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 755947798948, 'target_is_minimal': True, 'target_label': '420.2.l.a.239.4', 'target_level': 420, 'twist_class_label': '420.2.l.a.239.1', 'twist_class_level': 420, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 36278637
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 239, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 4504355575169444, 'source_is_minimal': True, 'source_label': '420.2.l.b.239.3', 'source_level': 420, 'target_conrey_index': 239, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 755947798948, 'target_is_minimal': True, 'target_label': '420.2.l.a.239.3', 'target_level': 420, 'twist_class_label': '420.2.l.a.239.1', 'twist_class_level': 420, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 2}
  • id: 36278638
    {'conductor': 20, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 239, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 4504355575169444, 'source_is_minimal': True, 'source_label': '420.2.l.b.239.3', 'source_level': 420, 'target_conrey_index': 239, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 4504355575169444, 'target_is_minimal': True, 'target_label': '420.2.l.b.239.4', 'target_level': 420, 'twist_class_label': '420.2.l.a.239.1', 'twist_class_level': 420, 'twisting_char_label': '20.19', 'twisting_conrey_index': 19, 'weight': 2}
  • id: 36278639
    {'conductor': 60, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 239, 'source_dim': 4, 'source_embedding_index': 3, 'source_hecke_orbit_code': 4504355575169444, 'source_is_minimal': True, 'source_label': '420.2.l.b.239.3', 'source_level': 420, 'target_conrey_index': 239, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4504355575169444, 'target_is_minimal': True, 'target_label': '420.2.l.b.239.1', 'target_level': 420, 'twist_class_label': '420.2.l.a.239.1', 'twist_class_level': 420, 'twisting_char_label': '60.59', 'twisting_conrey_index': 59, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 861800
    {'charpoly_factorization': [[[2, 0, 1], 2]], 'hecke_orbit_code': 4504355575169444, 'p': 2}
  • id: 861801
    {'charpoly_factorization': [[[3, -2, 1], 2]], 'hecke_orbit_code': 4504355575169444, 'p': 3}
  • id: 861802
    {'charpoly_factorization': [[[25, 0, -8, 0, 1], 1]], 'hecke_orbit_code': 4504355575169444, 'p': 5}
  • id: 861803
    {'charpoly_factorization': [[[1, 1], 4]], 'hecke_orbit_code': 4504355575169444, 'p': 7}
  • id: 861804
    {'charpoly_factorization': [[[-18, 0, 1], 2]], 'hecke_orbit_code': 4504355575169444, 'p': 11}
  • id: 861805
    {'charpoly_factorization': [[[36, 0, 1], 2]], 'hecke_orbit_code': 4504355575169444, 'p': 13}
  • id: 861806
    {'charpoly_factorization': [[[-18, 0, 1], 2]], 'hecke_orbit_code': 4504355575169444, 'p': 17}
  • id: 861807
    {'charpoly_factorization': [[[36, 0, 1], 2]], 'hecke_orbit_code': 4504355575169444, 'p': 19}
  • id: 861808
    {'charpoly_factorization': [[[2, 0, 1], 2]], 'hecke_orbit_code': 4504355575169444, 'p': 23}
  • id: 861809
    {'charpoly_factorization': [[[8, 0, 1], 2]], 'hecke_orbit_code': 4504355575169444, 'p': 29}
  • id: 861810
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4504355575169444, 'p': 31}
  • id: 861811
    {'charpoly_factorization': [[[36, 0, 1], 2]], 'hecke_orbit_code': 4504355575169444, 'p': 37}
  • id: 861812
    {'charpoly_factorization': [[[2, 0, 1], 2]], 'hecke_orbit_code': 4504355575169444, 'p': 41}
  • id: 861813
    {'charpoly_factorization': [[[8, 1], 4]], 'hecke_orbit_code': 4504355575169444, 'p': 43}
  • id: 861814
    {'charpoly_factorization': [[[8, 0, 1], 2]], 'hecke_orbit_code': 4504355575169444, 'p': 47}
  • id: 861815
    {'charpoly_factorization': [[[-72, 0, 1], 2]], 'hecke_orbit_code': 4504355575169444, 'p': 53}
  • id: 861816
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4504355575169444, 'p': 59}
  • id: 861817
    {'charpoly_factorization': [[[10, 1], 4]], 'hecke_orbit_code': 4504355575169444, 'p': 61}
  • id: 861818
    {'charpoly_factorization': [[[-4, 1], 4]], 'hecke_orbit_code': 4504355575169444, 'p': 67}
  • id: 861819
    {'charpoly_factorization': [[[-162, 0, 1], 2]], 'hecke_orbit_code': 4504355575169444, 'p': 71}
  • id: 861820
    {'charpoly_factorization': [[[36, 0, 1], 2]], 'hecke_orbit_code': 4504355575169444, 'p': 73}
  • id: 861821
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4504355575169444, 'p': 79}
  • id: 861822
    {'charpoly_factorization': [[[8, 0, 1], 2]], 'hecke_orbit_code': 4504355575169444, 'p': 83}
  • id: 861823
    {'charpoly_factorization': [[[50, 0, 1], 2]], 'hecke_orbit_code': 4504355575169444, 'p': 89}
  • id: 861824
    {'charpoly_factorization': [[[36, 0, 1], 2]], 'hecke_orbit_code': 4504355575169444, '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': 12, 'hecke_orbit': 2, 'label': '420.2.l.b', 'level': 420, 'portrait': 'data:image/png;base64,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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  Showing the first 100 of 258 matching records in this table.
  • id: 23818021
    {'hecke_orbit_code': 4504355575169444, 'n': 1, 'trace_an': 4}
  • id: 23818022
    {'hecke_orbit_code': 4504355575169444, 'n': 2, 'trace_an': 0}
  • id: 23818023
    {'hecke_orbit_code': 4504355575169444, 'n': 3, 'trace_an': 4}
  • id: 23818024
    {'hecke_orbit_code': 4504355575169444, 'n': 4, 'trace_an': -8}
  • id: 23818025
    {'hecke_orbit_code': 4504355575169444, 'n': 5, 'trace_an': 0}
  • id: 23818026
    {'hecke_orbit_code': 4504355575169444, 'n': 6, 'trace_an': 8}
  • id: 23818027
    {'hecke_orbit_code': 4504355575169444, 'n': 7, 'trace_an': -4}
  • id: 23818028
    {'hecke_orbit_code': 4504355575169444, 'n': 8, 'trace_an': 0}
  • id: 23818029
    {'hecke_orbit_code': 4504355575169444, 'n': 9, 'trace_an': -4}
  • id: 23818030
    {'hecke_orbit_code': 4504355575169444, 'n': 10, 'trace_an': -4}
  • id: 23818031
    {'hecke_orbit_code': 4504355575169444, 'n': 11, 'trace_an': 0}
  • id: 23818032
    {'hecke_orbit_code': 4504355575169444, 'n': 12, 'trace_an': -8}
  • id: 23818033
    {'hecke_orbit_code': 4504355575169444, 'n': 13, 'trace_an': 0}
  • id: 23818034
    {'hecke_orbit_code': 4504355575169444, 'n': 14, 'trace_an': 0}
  • id: 23818035
    {'hecke_orbit_code': 4504355575169444, 'n': 15, 'trace_an': 4}
  • id: 23818036
    {'hecke_orbit_code': 4504355575169444, 'n': 16, 'trace_an': 16}
  • id: 23818037
    {'hecke_orbit_code': 4504355575169444, 'n': 17, 'trace_an': 0}
  • id: 23818038
    {'hecke_orbit_code': 4504355575169444, 'n': 18, 'trace_an': 16}
  • id: 23818039
    {'hecke_orbit_code': 4504355575169444, 'n': 19, 'trace_an': 0}
  • id: 23818040
    {'hecke_orbit_code': 4504355575169444, 'n': 20, 'trace_an': 0}
  • id: 23818041
    {'hecke_orbit_code': 4504355575169444, 'n': 21, 'trace_an': -4}
  • id: 23818042
    {'hecke_orbit_code': 4504355575169444, 'n': 22, 'trace_an': 0}
  • id: 23818043
    {'hecke_orbit_code': 4504355575169444, 'n': 23, 'trace_an': 0}
  • id: 23818044
    {'hecke_orbit_code': 4504355575169444, 'n': 24, 'trace_an': -16}
  • id: 23818045
    {'hecke_orbit_code': 4504355575169444, 'n': 25, 'trace_an': 16}
  • id: 23818046
    {'hecke_orbit_code': 4504355575169444, 'n': 26, 'trace_an': 0}
  • id: 23818047
    {'hecke_orbit_code': 4504355575169444, 'n': 27, 'trace_an': -20}
  • id: 23818048
    {'hecke_orbit_code': 4504355575169444, 'n': 28, 'trace_an': 8}
  • id: 23818049
    {'hecke_orbit_code': 4504355575169444, 'n': 29, 'trace_an': 0}
  • id: 23818050
    {'hecke_orbit_code': 4504355575169444, 'n': 30, 'trace_an': -4}
  • id: 23818051
    {'hecke_orbit_code': 4504355575169444, 'n': 31, 'trace_an': 0}
  • id: 23818052
    {'hecke_orbit_code': 4504355575169444, 'n': 32, 'trace_an': 0}
  • id: 23818053
    {'hecke_orbit_code': 4504355575169444, 'n': 33, 'trace_an': 0}
  • id: 23818054
    {'hecke_orbit_code': 4504355575169444, 'n': 34, 'trace_an': 0}
  • id: 23818055
    {'hecke_orbit_code': 4504355575169444, 'n': 35, 'trace_an': 0}
  • id: 23818056
    {'hecke_orbit_code': 4504355575169444, 'n': 36, 'trace_an': 8}
  • id: 23818057
    {'hecke_orbit_code': 4504355575169444, 'n': 37, 'trace_an': 0}
  • id: 23818058
    {'hecke_orbit_code': 4504355575169444, 'n': 38, 'trace_an': 0}
  • id: 23818059
    {'hecke_orbit_code': 4504355575169444, 'n': 39, 'trace_an': 0}
  • id: 23818060
    {'hecke_orbit_code': 4504355575169444, 'n': 40, 'trace_an': 8}
  • id: 23818061
    {'hecke_orbit_code': 4504355575169444, 'n': 41, 'trace_an': 0}
  • id: 23818062
    {'hecke_orbit_code': 4504355575169444, 'n': 42, 'trace_an': -8}
  • id: 23818063
    {'hecke_orbit_code': 4504355575169444, 'n': 43, 'trace_an': -32}
  • id: 23818064
    {'hecke_orbit_code': 4504355575169444, 'n': 44, 'trace_an': 0}
  • id: 23818065
    {'hecke_orbit_code': 4504355575169444, 'n': 45, 'trace_an': 8}
  • id: 23818066
    {'hecke_orbit_code': 4504355575169444, 'n': 46, 'trace_an': 8}
  • id: 23818067
    {'hecke_orbit_code': 4504355575169444, 'n': 47, 'trace_an': 0}
  • id: 23818068
    {'hecke_orbit_code': 4504355575169444, 'n': 48, 'trace_an': 16}
  • id: 23818069
    {'hecke_orbit_code': 4504355575169444, 'n': 49, 'trace_an': 4}
  • id: 23818070
    {'hecke_orbit_code': 4504355575169444, 'n': 50, 'trace_an': 0}
  • id: 23818071
    {'hecke_orbit_code': 4504355575169444, 'n': 51, 'trace_an': 0}
  • id: 23818072
    {'hecke_orbit_code': 4504355575169444, 'n': 52, 'trace_an': 0}
  • id: 23818073
    {'hecke_orbit_code': 4504355575169444, 'n': 53, 'trace_an': 0}
  • id: 23818074
    {'hecke_orbit_code': 4504355575169444, 'n': 54, 'trace_an': 8}
  • id: 23818075
    {'hecke_orbit_code': 4504355575169444, 'n': 55, 'trace_an': 36}
  • id: 23818076
    {'hecke_orbit_code': 4504355575169444, 'n': 56, 'trace_an': 0}
  • id: 23818077
    {'hecke_orbit_code': 4504355575169444, 'n': 57, 'trace_an': 0}
  • id: 23818078
    {'hecke_orbit_code': 4504355575169444, 'n': 58, 'trace_an': 16}
  • id: 23818079
    {'hecke_orbit_code': 4504355575169444, 'n': 59, 'trace_an': 0}
  • id: 23818080
    {'hecke_orbit_code': 4504355575169444, 'n': 60, 'trace_an': -8}
  • id: 23818081
    {'hecke_orbit_code': 4504355575169444, 'n': 61, 'trace_an': -40}
  • id: 23818082
    {'hecke_orbit_code': 4504355575169444, 'n': 62, 'trace_an': 0}
  • id: 23818083
    {'hecke_orbit_code': 4504355575169444, 'n': 63, 'trace_an': 4}
  • id: 23818084
    {'hecke_orbit_code': 4504355575169444, 'n': 64, 'trace_an': -32}
  • id: 23818085
    {'hecke_orbit_code': 4504355575169444, 'n': 65, 'trace_an': 0}
  • id: 23818086
    {'hecke_orbit_code': 4504355575169444, 'n': 66, 'trace_an': 0}
  • id: 23818087
    {'hecke_orbit_code': 4504355575169444, 'n': 67, 'trace_an': 16}
  • id: 23818088
    {'hecke_orbit_code': 4504355575169444, 'n': 68, 'trace_an': 0}
  • id: 23818089
    {'hecke_orbit_code': 4504355575169444, 'n': 69, 'trace_an': -8}
  • id: 23818090
    {'hecke_orbit_code': 4504355575169444, 'n': 70, 'trace_an': 4}
  • id: 23818091
    {'hecke_orbit_code': 4504355575169444, 'n': 71, 'trace_an': 0}
  • id: 23818092
    {'hecke_orbit_code': 4504355575169444, 'n': 72, 'trace_an': -32}
  • id: 23818093
    {'hecke_orbit_code': 4504355575169444, 'n': 73, 'trace_an': 0}
  • id: 23818094
    {'hecke_orbit_code': 4504355575169444, 'n': 74, 'trace_an': 0}
  • id: 23818095
    {'hecke_orbit_code': 4504355575169444, 'n': 75, 'trace_an': 16}
  • id: 23818096
    {'hecke_orbit_code': 4504355575169444, 'n': 76, 'trace_an': 0}
  • id: 23818097
    {'hecke_orbit_code': 4504355575169444, 'n': 77, 'trace_an': 0}
  • id: 23818098
    {'hecke_orbit_code': 4504355575169444, 'n': 78, 'trace_an': 0}
  • id: 23818099
    {'hecke_orbit_code': 4504355575169444, 'n': 79, 'trace_an': 0}
  • id: 23818100
    {'hecke_orbit_code': 4504355575169444, 'n': 80, 'trace_an': 0}
  • id: 23818101
    {'hecke_orbit_code': 4504355575169444, 'n': 81, 'trace_an': -28}
  • id: 23818102
    {'hecke_orbit_code': 4504355575169444, 'n': 82, 'trace_an': -8}
  • id: 23818103
    {'hecke_orbit_code': 4504355575169444, 'n': 83, 'trace_an': 0}
  • id: 23818104
    {'hecke_orbit_code': 4504355575169444, 'n': 84, 'trace_an': 8}
  • id: 23818105
    {'hecke_orbit_code': 4504355575169444, 'n': 85, 'trace_an': 36}
  • id: 23818106
    {'hecke_orbit_code': 4504355575169444, 'n': 86, 'trace_an': 0}
  • id: 23818107
    {'hecke_orbit_code': 4504355575169444, 'n': 87, 'trace_an': -16}
  • id: 23818108
    {'hecke_orbit_code': 4504355575169444, 'n': 88, 'trace_an': 0}
  • id: 23818109
    {'hecke_orbit_code': 4504355575169444, 'n': 89, 'trace_an': 0}
  • id: 23818110
    {'hecke_orbit_code': 4504355575169444, 'n': 90, 'trace_an': 4}
  • id: 23818111
    {'hecke_orbit_code': 4504355575169444, 'n': 91, 'trace_an': 0}
  • id: 23818112
    {'hecke_orbit_code': 4504355575169444, 'n': 92, 'trace_an': 0}
  • id: 23818113
    {'hecke_orbit_code': 4504355575169444, 'n': 93, 'trace_an': 0}
  • id: 23818114
    {'hecke_orbit_code': 4504355575169444, 'n': 94, 'trace_an': -16}
  • id: 23818115
    {'hecke_orbit_code': 4504355575169444, 'n': 95, 'trace_an': 0}
  • id: 23818116
    {'hecke_orbit_code': 4504355575169444, 'n': 96, 'trace_an': 32}
  • id: 23818117
    {'hecke_orbit_code': 4504355575169444, 'n': 97, 'trace_an': 0}
  • id: 23818118
    {'hecke_orbit_code': 4504355575169444, 'n': 98, 'trace_an': 0}
  • id: 23818119
    {'hecke_orbit_code': 4504355575169444, 'n': 99, 'trace_an': 0}
  • id: 23818120
    {'hecke_orbit_code': 4504355575169444, 'n': 100, 'trace_an': -32}