Embedded newform data - 98.10.c.d.79.1

Formats: - HTML - YAML - JSON - 2025-09-11T07:51:10.350732

• 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': 9800, 'analytic_conductor': 50.47351194405957, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 7, 'char_degree': 2, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 3, 'char_parity': 1, 'char_values': [98, 3, [3], [2]], 'cm_discs': [], 'conrey_index': 67, 'dim': 2, 'field_disc': -3, 'field_disc_factorization': [[-1, 1], [3, 1]], 'field_poly': [1, -1, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 6, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [28900, -170, 1]]], 'hecke_orbit': 4, 'hecke_orbit_code': 13510936488837218, 'hecke_ring_generator_nbound': 9, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 7, 3, 1, 3, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '98.10.c.d', 'level': 98, '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, 7], 'level_radical': 14, 'minimal_twist': '14.10.a.b', 'nf_label': '2.0.3.1', 'prim_orbit_index': 3, 'qexp_display': 'q-2^{4}\\zeta_{6}q^{2}+(170-170\\zeta_{6})q^{3}+(-2^{8}+\\cdots)q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '9.2.3.c3', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '98.10.c', 'trace_display': [-16, 170, 544, 0], 'trace_hash': 1096545891613030850, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.006', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '12.452', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '117.654', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, 'traces': [2, -16, 170, -256, 544, -5440, 0, 8192, -9217, 8704, -48824, 43520, 31752, 0, 184960, -65536, -21418, -147472, -716410, -278528, 0, 1562368, 2470000, 696320, 1657189, -254016, 3558440, 0, 11113652, -1479680, 5799348, -1048576, 8300080, 685376, 0, 4719104, 3894430, -11462560, 2698920, 2228224, 12721716, 0, -37402592, -12498944, 5014048, 39520000, 56539068, -22282240, 0, -53030048, 3641060, -4064256, 59894682, -28467520, -53120512, 0, -243579400, -88909216, 165629662, -23674880, 51419016, -185579136, 0, 33554432, 8636544, 132801280, -93546508, -5483008, 839800000, 0, -191267072, -37752832, 306496402, 62310880, -281722130, 366801920, 0, -86365440, -496474152, 35651584, 483885611, -101773728, 742973924, 0, -23302784, 299220736, 944660420, -199983104, -165482550, -160449536, 0, -1264640000, -985889160, 904625088, 389727040, 178257920, 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• 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

  
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[0.25439221873729, 0.0]], 'angles': [None, 0.020252368369385074, -0.3854917898909653, None, -0.4994975179299404, -0.23771946812597042, -0.08828348981283297, 0.19192487042453873, -0.23067146056870638, -0.11988402176360594, 0.01202136951490157, -0.38934790529115426, -0.2218783590452229, -0.3184756606382745, -0.25645434749868234, 0.00394955857591414, 0.09123169464470819, -0.37846270631089657, -0.1290928234711427, -0.2858439067061671, 0.025467524386766315, 0.2105856071822458, -0.17932765135377315, -0.43898757887202644, -0.3215703811683559, -0.15448380755647037, -0.24956650837223393, -0.4412009428062802, -0.01248259224703983, -0.4024372455078771, -0.060644980799917855, -0.4318951460689244, -0.11586208813059011, -0.17138413461589125, -0.4105266818995624, -0.48625170274889895, -0.13032522355698317, -0.2837368766061971, -0.14374812982025292, -0.3435043552590476, -0.05981893561161961, -0.3210821546318432, -0.4001117665908295, 0.02424845230334375, -0.2976890765058453, -0.09388511192998772, 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-0.30497251277013043, -0.4142216586571197, -0.483407214665915, -0.35572034121263657, -0.07832165057731605, -0.07080959757912067, 0.04438457652232646, -0.20680248534124018, -0.23557519153556028, -0.11150626000832597, -0.3991249709316275, -0.4894186799803593, -0.3876950377696007, -0.10002898283321994, -0.28180341026997785, -0.4919711943474211, -0.007075359267544312, -0.4020523727118479, -0.45504916281809904, 0.1889901514659789, -0.3740294758674397, 0.032192360005415935, 0.21150392031636764, -0.3521668179596298, -0.35958014247682873, -0.47752138946471057, -0.08383291474627508, -0.1225061397842318, -0.009620725726267373, -0.09320387124651965], 'char_orbit_index': 3, 'conrey_index': 79, 'dual_conrey_index': 67, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 2, 'embedding_root_imag': -0.8660254037844386, 'embedding_root_real': 0.5, 'hecke_orbit': 4, 'hecke_orbit_code': 13510936488837218, 'label': '98.10.c.d.79.1', 'level': 98, 'weight': 10}
• 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': 9800, 'analytic_conductor': 50.47351194405957, 'char_conductor': 7, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 3, 'char_parity': 1, 'char_values': [98, 3, [3], [2]], 'conrey_index': 67, 'cusp_dim': 236, 'dim': 60, 'eis_dim': 32, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 137606725730, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 4, 4, 4, 4, 6, 6, 8, 12], 'label': '98.10.c', 'level': 98, '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, 7], 'level_radical': 14, 'mf_dim': 268, 'mf_new_dim': 60, 'num_forms': 14, 'prim_orbit_index': 3, 'relative_dim': 30, 'sturm_bound': 140, 'trace_bound': 3, 'trace_display': [0, 162, 1818, 0], 'traces': [60, 0, 162, -7680, 1818, -9728, 0, 0, -210336, -5632, -40718, 41472, -233176, 0, -267380, -1966080, 285906, -42944, -842658, 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• 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: 43104261
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 79, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13510936488837218, 'source_is_minimal': False, 'source_label': '98.10.c.d.79.1', 'source_level': 98, 'target_conrey_index': 79, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510936488837218, 'target_is_minimal': False, 'target_label': '98.10.c.d.79.1', 'target_level': 98, 'twist_class_label': '14.10.a.b.1.1', 'twist_class_level': 14, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 10}
  • id: 43104262
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 79, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13510936488837218, 'source_is_minimal': False, 'source_label': '98.10.c.d.79.1', 'source_level': 98, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599795142754, 'target_is_minimal': False, 'target_label': '98.10.a.b.1.1', 'target_level': 98, 'twist_class_label': '14.10.a.b.1.1', 'twist_class_level': 14, 'twisting_char_label': '7.2', 'twisting_conrey_index': 2, 'weight': 10}
  • id: 43104263
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 79, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13510936488837218, 'source_is_minimal': False, 'source_label': '98.10.c.d.79.1', 'source_level': 98, 'target_conrey_index': 67, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 137606725730, 'target_is_minimal': False, 'target_label': '98.10.c.a.67.1', 'target_level': 98, 'twist_class_label': '14.10.a.b.1.1', 'twist_class_level': 14, 'twisting_char_label': '7.3', 'twisting_conrey_index': 3, 'weight': 10}
  • id: 43104264
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 79, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13510936488837218, 'source_is_minimal': False, 'source_label': '98.10.c.d.79.1', 'source_level': 98, 'target_conrey_index': 67, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510936488837218, 'target_is_minimal': False, 'target_label': '98.10.c.d.67.1', 'target_level': 98, 'twist_class_label': '14.10.a.b.1.1', 'twist_class_level': 14, 'twisting_char_label': '7.4', 'twisting_conrey_index': 4, 'weight': 10}
  • id: 43104265
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 79, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13510936488837218, 'source_is_minimal': False, 'source_label': '98.10.c.d.79.1', 'source_level': 98, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599795142670, 'target_is_minimal': True, 'target_label': '14.10.a.b.1.1', 'target_level': 14, 'twist_class_label': '14.10.a.b.1.1', 'twist_class_level': 14, 'twisting_char_label': '7.5', 'twisting_conrey_index': 5, 'weight': 10}
  • id: 43104266
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 79, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13510936488837218, 'source_is_minimal': False, 'source_label': '98.10.c.d.79.1', 'source_level': 98, 'target_conrey_index': 79, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 137606725730, 'target_is_minimal': False, 'target_label': '98.10.c.a.79.1', 'target_level': 98, 'twist_class_label': '14.10.a.b.1.1', 'twist_class_level': 14, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 10}
  • id: 43104267
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 79, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13510936488837218, 'source_is_minimal': False, 'source_label': '98.10.c.d.79.1', 'source_level': 98, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 167772286, 'target_is_minimal': False, 'target_label': '126.10.a.a.1.1', 'target_level': 126, 'twist_class_label': '14.10.a.b.1.1', 'twist_class_level': 14, 'twisting_char_label': '21.5', 'twisting_conrey_index': 5, 'weight': 10}
  • id: 43104268
    {'conductor': 28, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 79, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13510936488837218, 'source_is_minimal': False, 'source_label': '98.10.c.d.79.1', 'source_level': 98, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 167772272, 'target_is_minimal': False, 'target_label': '112.10.a.a.1.1', 'target_level': 112, 'twist_class_label': '14.10.a.b.1.1', 'twist_class_level': 14, 'twisting_char_label': '28.19', 'twisting_conrey_index': 19, 'weight': 10}
  • id: 43104269
    {'conductor': 35, 'degree': 4, 'order': 12, 'parity': 1, 'source_conrey_index': 79, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13510936488837218, 'source_is_minimal': False, 'source_label': '98.10.c.d.79.1', 'source_level': 98, 'target_conrey_index': 99, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 13510936488837470, 'target_is_minimal': False, 'target_label': '350.10.c.d.99.2', 'target_level': 350, 'twist_class_label': '14.10.a.b.1.1', 'twist_class_level': 14, 'twisting_char_label': '35.12', 'twisting_conrey_index': 12, 'weight': 10}
  • id: 43104270
    {'conductor': 35, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 79, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13510936488837218, 'source_is_minimal': False, 'source_label': '98.10.c.d.79.1', 'source_level': 98, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 167772510, 'target_is_minimal': False, 'target_label': '350.10.a.a.1.1', 'target_level': 350, 'twist_class_label': '14.10.a.b.1.1', 'twist_class_level': 14, 'twisting_char_label': '35.19', 'twisting_conrey_index': 19, 'weight': 10}
  • id: 43104271
    {'conductor': 35, 'degree': 4, 'order': 12, 'parity': 1, 'source_conrey_index': 79, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13510936488837218, 'source_is_minimal': False, 'source_label': '98.10.c.d.79.1', 'source_level': 98, 'target_conrey_index': 99, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510936488837470, 'target_is_minimal': False, 'target_label': '350.10.c.d.99.1', 'target_level': 350, 'twist_class_label': '14.10.a.b.1.1', 'twist_class_level': 14, 'twisting_char_label': '35.33', 'twisting_conrey_index': 33, 'weight': 10}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 290950
    {'charpoly_factorization': [[[256, 16, 1], 1]], 'hecke_orbit_code': 13510936488837218, 'p': 2}
  • id: 290951
    {'charpoly_factorization': [[[28900, -170, 1], 1]], 'hecke_orbit_code': 13510936488837218, 'p': 3}
  • id: 290952
    {'charpoly_factorization': [[[295936, -544, 1], 1]], 'hecke_orbit_code': 13510936488837218, 'p': 5}
  • id: 290953
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 13510936488837218, 'p': 7}
  • id: 290954
    {'charpoly_factorization': [[[2383782976, 48824, 1], 1]], 'hecke_orbit_code': 13510936488837218, 'p': 11}
  • id: 290955
    {'charpoly_factorization': [[[-15876, 1], 2]], 'hecke_orbit_code': 13510936488837218, 'p': 13}
  • id: 290956
    {'charpoly_factorization': [[[458730724, 21418, 1], 1]], 'hecke_orbit_code': 13510936488837218, 'p': 17}
  • id: 290957
    {'charpoly_factorization': [[[513243288100, 716410, 1], 1]], 'hecke_orbit_code': 13510936488837218, 'p': 19}
  • id: 290958
    {'charpoly_factorization': [[[6100900000000, -2470000, 1], 1]], 'hecke_orbit_code': 13510936488837218, 'p': 23}
  • id: 290959
    {'charpoly_factorization': [[[-5556826, 1], 2]], 'hecke_orbit_code': 13510936488837218, 'p': 29}
  • id: 290960
    {'charpoly_factorization': [[[33632437225104, -5799348, 1], 1]], 'hecke_orbit_code': 13510936488837218, 'p': 31}
  • id: 290961
    {'charpoly_factorization': [[[15166585024900, -3894430, 1], 1]], 'hecke_orbit_code': 13510936488837218, 'p': 37}
  • id: 290962
    {'charpoly_factorization': [[[-6360858, 1], 2]], 'hecke_orbit_code': 13510936488837218, 'p': 41}
  • id: 290963
    {'charpoly_factorization': [[[18701296, 1], 2]], 'hecke_orbit_code': 13510936488837218, 'p': 43}
  • id: 290964
    {'charpoly_factorization': [[[3196666210308624, -56539068, 1], 1]], 'hecke_orbit_code': 13510936488837218, 'p': 47}
  • id: 290965
    {'charpoly_factorization': [[[3587372931881124, -59894682, 1], 1]], 'hecke_orbit_code': 13510936488837218, 'p': 53}
  • id: 290966
    {'charpoly_factorization': [[[27433184934234244, -165629662, 1], 1]], 'hecke_orbit_code': 13510936488837218, 'p': 59}
  • id: 290967
    {'charpoly_factorization': [[[2643915206408256, -51419016, 1], 1]], 'hecke_orbit_code': 13510936488837218, 'p': 61}
  • id: 290968
    {'charpoly_factorization': [[[8750949158994064, 93546508, 1], 1]], 'hecke_orbit_code': 13510936488837218, 'p': 67}
  • id: 290969
    {'charpoly_factorization': [[[95633536, 1], 2]], 'hecke_orbit_code': 13510936488837218, 'p': 71}
  • id: 290970
    {'charpoly_factorization': [[[93940044438945604, -306496402, 1], 1]], 'hecke_orbit_code': 13510936488837218, 'p': 73}
  • id: 290971
    {'charpoly_factorization': [[[246486583604119104, 496474152, 1], 1]], 'hecke_orbit_code': 13510936488837218, 'p': 79}
  • id: 290972
    {'charpoly_factorization': [[[-371486962, 1], 2]], 'hecke_orbit_code': 13510936488837218, 'p': 83}
  • id: 290973
    {'charpoly_factorization': [[[27384474354502500, 165482550, 1], 1]], 'hecke_orbit_code': 13510936488837218, 'p': 89}
  • id: 290974
    {'charpoly_factorization': [[[758016742, 1], 2]], 'hecke_orbit_code': 13510936488837218, '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': 3, 'hecke_orbit': 4, 'label': '98.10.c.d', 'level': 98, 'portrait': 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', 'weight': 10}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 36157645
    {'hecke_orbit_code': 13510936488837218, 'n': 1, 'trace_an': 2}
  • id: 36157646
    {'hecke_orbit_code': 13510936488837218, 'n': 2, 'trace_an': -16}
  • id: 36157647
    {'hecke_orbit_code': 13510936488837218, 'n': 3, 'trace_an': 170}
  • id: 36157648
    {'hecke_orbit_code': 13510936488837218, 'n': 4, 'trace_an': -256}
  • id: 36157649
    {'hecke_orbit_code': 13510936488837218, 'n': 5, 'trace_an': 544}
  • id: 36157650
    {'hecke_orbit_code': 13510936488837218, 'n': 6, 'trace_an': -5440}
  • id: 36157651
    {'hecke_orbit_code': 13510936488837218, 'n': 7, 'trace_an': 0}
  • id: 36157652
    {'hecke_orbit_code': 13510936488837218, 'n': 8, 'trace_an': 8192}
  • id: 36157653
    {'hecke_orbit_code': 13510936488837218, 'n': 9, 'trace_an': -9217}
  • id: 36157654
    {'hecke_orbit_code': 13510936488837218, 'n': 10, 'trace_an': 8704}
  • id: 36157655
    {'hecke_orbit_code': 13510936488837218, 'n': 11, 'trace_an': -48824}
  • id: 36157656
    {'hecke_orbit_code': 13510936488837218, 'n': 12, 'trace_an': 43520}
  • id: 36157657
    {'hecke_orbit_code': 13510936488837218, 'n': 13, 'trace_an': 31752}
  • id: 36157658
    {'hecke_orbit_code': 13510936488837218, 'n': 14, 'trace_an': 0}
  • id: 36157659
    {'hecke_orbit_code': 13510936488837218, 'n': 15, 'trace_an': 184960}
  • id: 36157660
    {'hecke_orbit_code': 13510936488837218, 'n': 16, 'trace_an': -65536}
  • id: 36157661
    {'hecke_orbit_code': 13510936488837218, 'n': 17, 'trace_an': -21418}
  • id: 36157662
    {'hecke_orbit_code': 13510936488837218, 'n': 18, 'trace_an': -147472}
  • id: 36157663
    {'hecke_orbit_code': 13510936488837218, 'n': 19, 'trace_an': -716410}
  • id: 36157664
    {'hecke_orbit_code': 13510936488837218, 'n': 20, 'trace_an': -278528}
  • id: 36157665
    {'hecke_orbit_code': 13510936488837218, 'n': 21, 'trace_an': 0}
  • id: 36157666
    {'hecke_orbit_code': 13510936488837218, 'n': 22, 'trace_an': 1562368}
  • id: 36157667
    {'hecke_orbit_code': 13510936488837218, 'n': 23, 'trace_an': 2470000}
  • id: 36157668
    {'hecke_orbit_code': 13510936488837218, 'n': 24, 'trace_an': 696320}
  • id: 36157669
    {'hecke_orbit_code': 13510936488837218, 'n': 25, 'trace_an': 1657189}
  • id: 36157670
    {'hecke_orbit_code': 13510936488837218, 'n': 26, 'trace_an': -254016}
  • id: 36157671
    {'hecke_orbit_code': 13510936488837218, 'n': 27, 'trace_an': 3558440}
  • id: 36157672
    {'hecke_orbit_code': 13510936488837218, 'n': 28, 'trace_an': 0}
  • id: 36157673
    {'hecke_orbit_code': 13510936488837218, 'n': 29, 'trace_an': 11113652}
  • id: 36157674
    {'hecke_orbit_code': 13510936488837218, 'n': 30, 'trace_an': -1479680}
  • id: 36157675
    {'hecke_orbit_code': 13510936488837218, 'n': 31, 'trace_an': 5799348}
  • id: 36157676
    {'hecke_orbit_code': 13510936488837218, 'n': 32, 'trace_an': -1048576}
  • id: 36157677
    {'hecke_orbit_code': 13510936488837218, 'n': 33, 'trace_an': 8300080}
  • id: 36157678
    {'hecke_orbit_code': 13510936488837218, 'n': 34, 'trace_an': 685376}
  • id: 36157679
    {'hecke_orbit_code': 13510936488837218, 'n': 35, 'trace_an': 0}
  • id: 36157680
    {'hecke_orbit_code': 13510936488837218, 'n': 36, 'trace_an': 4719104}
  • id: 36157681
    {'hecke_orbit_code': 13510936488837218, 'n': 37, 'trace_an': 3894430}
  • id: 36157682
    {'hecke_orbit_code': 13510936488837218, 'n': 38, 'trace_an': -11462560}
  • id: 36157683
    {'hecke_orbit_code': 13510936488837218, 'n': 39, 'trace_an': 2698920}
  • id: 36157684
    {'hecke_orbit_code': 13510936488837218, 'n': 40, 'trace_an': 2228224}
  • id: 36157685
    {'hecke_orbit_code': 13510936488837218, 'n': 41, 'trace_an': 12721716}
  • id: 36157686
    {'hecke_orbit_code': 13510936488837218, 'n': 42, 'trace_an': 0}
  • id: 36157687
    {'hecke_orbit_code': 13510936488837218, 'n': 43, 'trace_an': -37402592}
  • id: 36157688
    {'hecke_orbit_code': 13510936488837218, 'n': 44, 'trace_an': -12498944}
  • id: 36157689
    {'hecke_orbit_code': 13510936488837218, 'n': 45, 'trace_an': 5014048}
  • id: 36157690
    {'hecke_orbit_code': 13510936488837218, 'n': 46, 'trace_an': 39520000}
  • id: 36157691
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  • id: 36157872
    {'hecke_orbit_code': 13510936488837218, 'n': 809, 'trace_an': -21286929478534}
  • id: 36157873
    {'hecke_orbit_code': 13510936488837218, 'n': 811, 'trace_an': -49010521804076}
  • id: 36157874
    {'hecke_orbit_code': 13510936488837218, 'n': 821, 'trace_an': 9728256485914}
  • id: 36157875
    {'hecke_orbit_code': 13510936488837218, 'n': 823, 'trace_an': 828744996248}
  • id: 36157876
    {'hecke_orbit_code': 13510936488837218, 'n': 827, 'trace_an': 48568413814008}
  • id: 36157877
    {'hecke_orbit_code': 13510936488837218, 'n': 829, 'trace_an': 19556973814744}
  • id: 36157878
    {'hecke_orbit_code': 13510936488837218, 'n': 839, 'trace_an': 15391538781752}
  • id: 36157879
    {'hecke_orbit_code': 13510936488837218, 'n': 841, 'trace_an': 32742338436814}
  • id: 36157880
    {'hecke_orbit_code': 13510936488837218, 'n': 853, 'trace_an': 5597908670312}
  • id: 36157881
    {'hecke_orbit_code': 13510936488837218, 'n': 857, 'trace_an': -5561412164754}
  • id: 36157882
    {'hecke_orbit_code': 13510936488837218, 'n': 859, 'trace_an': 3510516519242}
  • id: 36157883
    {'hecke_orbit_code': 13510936488837218, 'n': 863, 'trace_an': -14383750261768}
  • id: 36157884
    {'hecke_orbit_code': 13510936488837218, 'n': 877, 'trace_an': 6342782203766}
  • id: 36157885
    {'hecke_orbit_code': 13510936488837218, 'n': 881, 'trace_an': 57856446049836}
  • id: 36157886
    {'hecke_orbit_code': 13510936488837218, 'n': 883, 'trace_an': -14343085225304}
  • id: 36157887
    {'hecke_orbit_code': 13510936488837218, 'n': 887, 'trace_an': -16801965695916}
  • id: 36157888
    {'hecke_orbit_code': 13510936488837218, 'n': 907, 'trace_an': 18792365773812}
  • id: 36157889
    {'hecke_orbit_code': 13510936488837218, 'n': 911, 'trace_an': -67899166560480}
  • id: 36157890
    {'hecke_orbit_code': 13510936488837218, 'n': 919, 'trace_an': -10328682089704}
  • id: 36157891
    {'hecke_orbit_code': 13510936488837218, 'n': 929, 'trace_an': -27976677058122}
  • id: 36157892
    {'hecke_orbit_code': 13510936488837218, 'n': 937, 'trace_an': -66329789136100}
  • id: 36157893
    {'hecke_orbit_code': 13510936488837218, 'n': 941, 'trace_an': 31930911688552}
  • id: 36157894
    {'hecke_orbit_code': 13510936488837218, 'n': 947, 'trace_an': -35692053942544}
  • id: 36157895
    {'hecke_orbit_code': 13510936488837218, 'n': 953, 'trace_an': -60984548105708}
  • id: 36157896
    {'hecke_orbit_code': 13510936488837218, 'n': 961, 'trace_an': -7192815064433}
  • id: 36157897
    {'hecke_orbit_code': 13510936488837218, 'n': 967, 'trace_an': -69106500897248}
  • id: 36157898
    {'hecke_orbit_code': 13510936488837218, 'n': 971, 'trace_an': -20670753114594}
  • id: 36157899
    {'hecke_orbit_code': 13510936488837218, 'n': 977, 'trace_an': -178789067610}
  • id: 36157900
    {'hecke_orbit_code': 13510936488837218, 'n': 983, 'trace_an': -14265650083116}
  • id: 36157901
    {'hecke_orbit_code': 13510936488837218, 'n': 991, 'trace_an': 27129633607840}
  • id: 36157902
    {'hecke_orbit_code': 13510936488837218, 'n': 997, 'trace_an': -3867234062872}