Newform data - 49.10.c.d

Formats: - HTML - YAML - JSON - 2025-06-22T18:21:17.633355

• 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': 4900, 'analytic_conductor': 25.236755972029783, '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': [49, 3, [3], [2]], 'cm_discs': [], 'conrey_index': 18, 'dim': 6, 'field_disc': -107150098677075, 'field_disc_factorization': [[-1, 1], [3, 3], [5, 2], [398423, 2]], 'field_poly': [4064256, -858816, 183492, -3606, 427, -1, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[2, [364046400, 25300080, 2158956, 10314, 1767, 21, 1]], [3, [9144576, 39299904, 169150032, -1085616, 20052, 84, 1]]], 'hecke_orbit': 4, 'hecke_orbit_code': 13510936488837169, 'hecke_ring_generator_nbound': 9, 'hecke_ring_index': 108, 'hecke_ring_index_factorization': [[2, 2], [3, 3]], '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': '49.10.c.d', 'level': 49, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_prime_square': True, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [7], 'level_radical': 7, 'minimal_twist': '7.10.a.b', 'prim_orbit_index': 3, 'qexp_display': 'q+(7\\beta _{3}-\\beta _{5})q^{2}+(-28+\\beta _{1}+\\beta _{2}+\\cdots)q^{3}+\\cdots', 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '9.2.3.c3', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '49.10.c', 'trace_display': [-21, -84, -1554, 0], 'trace_hash': 1118010668877805090, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.456', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '115.998', 'prec': 24}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4393.609', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, 'traces': [6, -21, -84, -1557, -1554, 9828, 0, 28110, 26001, 97860, 3444, 106386, -39564, 0, 400608, -482961, -1016694, 273267, -222852, -3844176, 0, -5694096, -1885632, 1449630, -3073221, 8785056, 1103760, 0, 8163636, -8053200, -2869440, -25221951, 20259792, -7963284, 0, -70792758, -1395618, -43479870, 8990688, 82859280, -28841316, 0, -123262344, -97011984, -29774682, -89747664, 10368960, 33597564, 0, 146650110, 26146728, 80908044, -67502610, 117879300, -211646064, 0, 16942224, 159163830, 42590100, 179551008, -191746842, -93966936, 0, 15704322, -364283220, 8057952, 255175788, -743485806, 515807712, 0, 593029008, 609314265, -344213310, 690696462, -279031116, 1457679972, 0, 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• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
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[-5288787099414, 177982402388, 182921194484, 0, 0, 0], [19712465153122, 309744041069, -107365613067, 19712465153122, -107365613067, 309744041069], [0, 0, 0, 353912373052, 95781334530, -496514284246], [2667773776026, 470935834152, 35449375752, 0, 0, 0], [-13369332923952, -361890959920, -206353785064, 0, 0, 0], [0, 0, 0, -3944840249868, 167377757485, -98404661235], [-21643379653490, -391347106492, -113713391484, -21643379653490, -113713391484, -391347106492], [-4980874310104, 1065671717650, -202106619070, -4980874310104, -202106619070, 1065671717650], [9462695969440, 1362169007592, -170929805592, 9462695969440, -170929805592, 1362169007592], [13956742164442, 938287285545, -145091371263, 13956742164442, -145091371263, 938287285545]], 'char_orbit_index': 3, 'field_poly': [4064256, -858816, 183492, -3606, 427, -1, 1], 'hecke_orbit_code': 13510936488837169, 'hecke_ring_character_values': [[3, [0, 0, 0, 1, 0, 0]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 464953608, 464953608, 3719628864, 1859814432, 12915378], 'hecke_ring_inverse_denominators': [1, 6, 6, 6, 6, 6], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0, 0, 0], [0, 0, 0, -2, -1, -1], [-1706, -25, 11, -1706, 11, -25], [9538, -451, -415, 0, 0, 0], [0, 0, 0, 713186, -6287, 9085], [-6789298, 150811, 192679, -6789298, 192679, 150811]], 'hecke_ring_numerators': [[1, 0, 0, 0, 0, 0], [-18279850176, 356408640, -76149180, -1825733, -177205, 415], [30551662512, -387326016, 82754892, -4738111, 192577, -451], [-41319936, -785896236, 6865794, -1828841, 4283, -4331], [-934101504, -24361417764, 155211966, -41343799, -629099, -97909], [6773760, 97141857, -1125540, 299810, 4339, 710]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 6, 'label': '49.10.c.d', 'level': 49, 'maxp': 997, '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': 4900, 'analytic_conductor': 25.236755972029783, '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': [49, 3, [3], [2]], 'conrey_index': 18, 'cusp_dim': 76, 'dim': 56, 'eis_dim': 16, 'eis_new_dim': 8, 'hecke_cutter_primes': [2, 3], 'hecke_orbit_code': 137606725681, 'hecke_orbit_dims': [2, 4, 4, 6, 6, 8, 10, 16], 'label': '49.10.c', 'level': 49, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_prime_square': True, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [7], 'level_radical': 7, 'mf_dim': 92, 'mf_new_dim': 64, 'num_forms': 8, 'prim_orbit_index': 3, 'relative_dim': 28, 'sturm_bound': 46, 'trace_bound': 3, 'trace_display': [35, -161, -1533, 0], 'traces': [56, 35, -161, -6825, -1533, 8708, 0, -68250, -142261, -4298, -59731, -135604, 319676, 0, -181118, -2079973, -324681, 1711801, 16121, 350616, 0, 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• mf_twists_nf •

  Column	Type
  conductor	integer
  degree	integer
  multiplicity	smallint
  order	integer
  parity	smallint
  self_twist_disc	integer
  source_char_orbit	smallint
  source_dim	integer
  source_hecke_orbit	integer
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_char_orbit	smallint
  target_dim	integer
  target_hecke_orbit	integer
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_char_orbit	smallint
  weight	smallint

  
  
  • id: 40752
    {'conductor': 7, 'degree': 2, 'multiplicity': 1, 'order': 3, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 6, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '49.10.c.d', 'source_level': 49, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '7.10.a.b', 'target_level': 7, 'twist_class_label': '7.10.a.b', 'twist_class_level': 7, 'twisting_char_label': '7.c', 'twisting_char_orbit': 3, 'weight': 10}
  • id: 40753
    {'conductor': 7, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 6, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '49.10.c.d', 'source_level': 49, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '49.10.a.c', 'target_level': 49, 'twist_class_label': '7.10.a.b', 'twist_class_level': 7, 'twisting_char_label': '7.d', 'twisting_char_orbit': 4, 'weight': 10}
  • id: 40754
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 3, 'source_dim': 6, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '49.10.c.d', 'source_level': 49, 'target_char_orbit': 3, 'target_dim': 6, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '49.10.c.d', 'target_level': 49, 'twist_class_label': '7.10.a.b', 'twist_class_level': 7, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 10}
  • id: 40755
    {'conductor': 7, 'degree': 2, 'multiplicity': 1, 'order': 3, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 6, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '49.10.c.d', 'source_level': 49, 'target_char_orbit': 3, 'target_dim': 6, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '49.10.c.d', 'target_level': 49, 'twist_class_label': '7.10.a.b', 'twist_class_level': 7, 'twisting_char_label': '7.c', 'twisting_char_orbit': 3, 'weight': 10}
  • id: 40756
    {'conductor': 7, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 6, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '49.10.c.d', 'source_level': 49, 'target_char_orbit': 3, 'target_dim': 6, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '49.10.c.e', 'target_level': 49, 'twist_class_label': '7.10.a.b', 'twist_class_level': 7, 'twisting_char_label': '7.b', 'twisting_char_orbit': 2, 'weight': 10}
  • id: 40757
    {'conductor': 7, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 6, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '49.10.c.d', 'source_level': 49, 'target_char_orbit': 3, 'target_dim': 6, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '49.10.c.e', 'target_level': 49, 'twist_class_label': '7.10.a.b', 'twist_class_level': 7, 'twisting_char_label': '7.d', 'twisting_char_orbit': 4, 'weight': 10}
  • id: 40758
    {'conductor': 21, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 6, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '49.10.c.d', 'source_level': 49, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '63.10.a.e', 'target_level': 63, 'twist_class_label': '7.10.a.b', 'twist_class_level': 7, 'twisting_char_label': '21.h', 'twisting_char_orbit': 8, 'weight': 10}
  • id: 40759
    {'conductor': 28, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 6, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '49.10.c.d', 'source_level': 49, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 8, 'target_is_minimal': False, 'target_label': '112.10.a.h', 'target_level': 112, 'twist_class_label': '7.10.a.b', 'twist_class_level': 7, 'twisting_char_label': '28.g', 'twisting_char_orbit': 7, 'weight': 10}
  • id: 40760
    {'conductor': 35, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 6, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '49.10.c.d', 'source_level': 49, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '175.10.a.d', 'target_level': 175, 'twist_class_label': '7.10.a.b', 'twist_class_level': 7, 'twisting_char_label': '35.j', 'twisting_char_orbit': 10, 'weight': 10}
  • id: 40761
    {'conductor': 35, 'degree': 4, 'multiplicity': 2, 'order': 12, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 6, 'source_hecke_orbit': 4, 'source_is_minimal': False, 'source_label': '49.10.c.d', 'source_level': 49, 'target_char_orbit': 2, 'target_dim': 6, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '175.10.b.d', 'target_level': 175, 'twist_class_label': '7.10.a.b', 'twist_class_level': 7, 'twisting_char_label': '35.l', 'twisting_char_orbit': 12, 'weight': 10}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 164925
    {'charpoly_factorization': [[[364046400, 25300080, 2158956, 10314, 1767, 21, 1], 1]], 'hecke_orbit_code': 13510936488837169, 'p': 2}
  • id: 164926
    {'charpoly_factorization': [[[9144576, 39299904, 169150032, -1085616, 20052, 84, 1], 1]], 'hecke_orbit_code': 13510936488837169, 'p': 3}
  • id: 164927
    {'charpoly_factorization': [[[24046454146498560000, 15980433670656000, 18240416539200, 4743199440, 5673756, 1554, 1], 1]], 'hecke_orbit_code': 13510936488837169, 'p': 5}
  • id: 164928
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 13510936488837169, 'p': 7}
  • id: 164929
    {'charpoly_factorization': [[[11850447229765696762259963904, 720488314504827409268736, 43429628814834548736, 240513632810496, 6630361104, -3444, 1], 1]], 'hecke_orbit_code': 13510936488837169, 'p': 11}
  • id: 164930
    {'charpoly_factorization': [[[-41548412541440, -12931283064, 19782, 1], 2]], 'hecke_orbit_code': 13510936488837169, 'p': 13}
  • id: 164931
    {'charpoly_factorization': [[[482852058015895110500222129385024, 6449217551132486748558613344, 63798301035331348561056, 254446318820746584, 740172178344, 1016694, 1], 1]], 'hecke_orbit_code': 13510936488837169, 'p': 17}
  • id: 164932
    {'charpoly_factorization': [[[1850021011437203329317168248377600, -15225415914641728428651211200, 115717776440963230796880, -164909275355787760, 403644733524, 222852, 1], 1]], 'hecke_orbit_code': 13510936488837169, 'p': 19}
  • id: 164933
    {'charpoly_factorization': [[[949939141969967565157434415745335296, -13834835236102396872007876608, 1838029351346056405979136, 1976062402189651968, 3541413343296, 1885632, 1], 1]], 'hecke_orbit_code': 13510936488837169, 'p': 23}
  • id: 164934
    {'charpoly_factorization': [[[4423213168251517800, -4782422143620, -4081818, 1], 2]], 'hecke_orbit_code': 13510936488837169, 'p': 29}
  • id: 164935
    {'charpoly_factorization': [[[5501607308601690439479544298035694534656, -4315105179093949858199159816060928, 3171655139505212584345346304, -315279233664680578048, 66410052229392, 2869440, 1], 1]], 'hecke_orbit_code': 13510936488837169, 'p': 31}
  • id: 164936
    {'charpoly_factorization': [[[119280298557942784700808690684449577323584, -43934232224831001527589320485458912, 15700188261808610184359658912, -868275114584495516728, 129156996793128, 1395618, 1], 1]], 'hecke_orbit_code': 13510936488837169, 'p': 37}
  • id: 164937
    {'charpoly_factorization': [[[-1983508183225662258312, -217166148381924, 14420658, 1], 2]], 'hecke_orbit_code': 13510936488837169, 'p': 41}
  • id: 164938
    {'charpoly_factorization': [[[6883868434203007924480, 1179825167354496, 61631172, 1], 2]], 'hecke_orbit_code': 13510936488837169, 'p': 43}
  • id: 164939
    {'charpoly_factorization': [[[19210206200067736762724618622626051242131456, -1799481406712121997790250323726364672, 214009754738218813392120301824, -4508763404362012518912, 518079789450192, -10368960, 1], 1]], 'hecke_orbit_code': 13510936488837169, 'p': 47}
  • id: 164940
    {'charpoly_factorization': [[[57008241544638258644273127170382983852261496384, 860563683535330105237611429707405155104, 29107767585437700102702059985504, 234232092764110553164776, 8160846421930968, 67502610, 1], 1]], 'hecke_orbit_code': 13510936488837169, 'p': 53}
  • id: 164941
    {'charpoly_factorization': [[[1785503521446157893176566590332198371739040000, 292068535566663025468053309879196536000, 45976241397980771649881021912400, 378893675362460301111600, 8725927569608820, -42590100, 1], 1]], 'hecke_orbit_code': 13510936488837169, 'p': 59}
  • id: 164942
    {'charpoly_factorization': [[[2614211882842571199248852448766203525620568064, -179680876784900011630121835694371967488, 22153779639145586358875113904832, 776103225276208940658128, 33252611026568028, 191746842, 1], 1]], 'hecke_orbit_code': 13510936488837169, 'p': 61}
  • id: 164943
    {'charpoly_factorization': [[[4186948032820746944758298104641024484256604983296, -2961029076043060317642674675382513822720, 524235598467545124594301004524032, -3723145719641740609194688, 66561767264651424, -255175788, 1], 1]], 'hecke_orbit_code': 13510936488837169, 'p': 67}
  • id: 164944
    {'charpoly_factorization': [[[1678437708012594690785280, 10350223039033344, -296514504, 1], 2]], 'hecke_orbit_code': 13510936488837169, 'p': 71}
  • id: 164945
    {'charpoly_factorization': [[[386755936711959159824980539400890024128818814845504, 1835171105582534096872204647036805063026144, 15477291500605917655523652456500064, 7211469010457420561801816, 211799222603877528, 344213310, 1], 1]], 'hecke_orbit_code': 13510936488837169, 'p': 73}
  • id: 164946
    {'charpoly_factorization': [[[129802096501774197924107494389841136446357504000000, 2361005131434895545173481544286814412800000, 53887006119346130208618703606272000, -221814040576688147145702400, 715160823358767936, -960412656, 1], 1]], 'hecke_orbit_code': 13510936488837169, 'p': 79}
  • id: 164947
    {'charpoly_factorization': [[[18999627411523605407800848, 313075935079720092, 1100517180, 1], 2]], 'hecke_orbit_code': 13510936488837169, 'p': 83}
  • id: 164948
    {'charpoly_factorization': [[[39841689760718694236232304702081301884401537600, 18937350753981436122362652342526130757600, 9102368427187071836672730892660320, -47684846205118726962339240, 351737627700091224, 506816478, 1], 1]], 'hecke_orbit_code': 13510936488837169, 'p': 89}
  • id: 164949
    {'charpoly_factorization': [[[-494596474576725271584703016, -1460996931372270852, 647498250, 1], 2]], 'hecke_orbit_code': 13510936488837169, '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': '49.10.c.d', 'level': 49, 'portrait': 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', 'weight': 10}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 36156613
    {'hecke_orbit_code': 13510936488837169, 'n': 1, 'trace_an': 6}
  • id: 36156614
    {'hecke_orbit_code': 13510936488837169, 'n': 2, 'trace_an': -21}
  • id: 36156615
    {'hecke_orbit_code': 13510936488837169, 'n': 3, 'trace_an': -84}
  • id: 36156616
    {'hecke_orbit_code': 13510936488837169, 'n': 4, 'trace_an': -1557}
  • id: 36156617
    {'hecke_orbit_code': 13510936488837169, 'n': 5, 'trace_an': -1554}
  • id: 36156618
    {'hecke_orbit_code': 13510936488837169, 'n': 6, 'trace_an': 9828}
  • id: 36156619
    {'hecke_orbit_code': 13510936488837169, 'n': 7, 'trace_an': 0}
  • id: 36156620
    {'hecke_orbit_code': 13510936488837169, 'n': 8, 'trace_an': 28110}
  • id: 36156621
    {'hecke_orbit_code': 13510936488837169, 'n': 9, 'trace_an': 26001}
  • id: 36156622
    {'hecke_orbit_code': 13510936488837169, 'n': 10, 'trace_an': 97860}
  • id: 36156623
    {'hecke_orbit_code': 13510936488837169, 'n': 11, 'trace_an': 3444}
  • id: 36156624
    {'hecke_orbit_code': 13510936488837169, 'n': 12, 'trace_an': 106386}
  • id: 36156625
    {'hecke_orbit_code': 13510936488837169, 'n': 13, 'trace_an': -39564}
  • id: 36156626
    {'hecke_orbit_code': 13510936488837169, 'n': 14, 'trace_an': 0}
  • id: 36156627
    {'hecke_orbit_code': 13510936488837169, 'n': 15, 'trace_an': 400608}
  • id: 36156628
    {'hecke_orbit_code': 13510936488837169, 'n': 16, 'trace_an': -482961}
  • id: 36156629
    {'hecke_orbit_code': 13510936488837169, 'n': 17, 'trace_an': -1016694}
  • id: 36156630
    {'hecke_orbit_code': 13510936488837169, 'n': 18, 'trace_an': 273267}
  • id: 36156631
    {'hecke_orbit_code': 13510936488837169, 'n': 19, 'trace_an': -222852}
  • id: 36156632
    {'hecke_orbit_code': 13510936488837169, 'n': 20, 'trace_an': -3844176}
  • id: 36156633
    {'hecke_orbit_code': 13510936488837169, 'n': 21, 'trace_an': 0}
  • id: 36156634
    {'hecke_orbit_code': 13510936488837169, 'n': 22, 'trace_an': -5694096}
  • id: 36156635
    {'hecke_orbit_code': 13510936488837169, 'n': 23, 'trace_an': -1885632}
  • id: 36156636
    {'hecke_orbit_code': 13510936488837169, 'n': 24, 'trace_an': 1449630}
  • id: 36156637
    {'hecke_orbit_code': 13510936488837169, 'n': 25, 'trace_an': -3073221}
  • id: 36156638
    {'hecke_orbit_code': 13510936488837169, 'n': 26, 'trace_an': 8785056}
  • id: 36156639
    {'hecke_orbit_code': 13510936488837169, 'n': 27, 'trace_an': 1103760}
  • id: 36156640
    {'hecke_orbit_code': 13510936488837169, 'n': 28, 'trace_an': 0}
  • id: 36156641
    {'hecke_orbit_code': 13510936488837169, 'n': 29, 'trace_an': 8163636}
  • id: 36156642
    {'hecke_orbit_code': 13510936488837169, 'n': 30, 'trace_an': -8053200}
  • id: 36156643
    {'hecke_orbit_code': 13510936488837169, 'n': 31, 'trace_an': -2869440}
  • id: 36156644
    {'hecke_orbit_code': 13510936488837169, 'n': 32, 'trace_an': -25221951}
  • id: 36156645
    {'hecke_orbit_code': 13510936488837169, 'n': 33, 'trace_an': 20259792}
  • id: 36156646
    {'hecke_orbit_code': 13510936488837169, 'n': 34, 'trace_an': -7963284}
  • id: 36156647
    {'hecke_orbit_code': 13510936488837169, 'n': 35, 'trace_an': 0}
  • id: 36156648
    {'hecke_orbit_code': 13510936488837169, 'n': 36, 'trace_an': -70792758}
  • id: 36156649
    {'hecke_orbit_code': 13510936488837169, 'n': 37, 'trace_an': -1395618}
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  • id: 36156867
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  • id: 36156868
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  • id: 36156869
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  • id: 36156870
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