Embedded newform data - 2496.4.a.bp.1.3

Formats: - HTML - YAML - JSON - 2023-03-26T20:53:41.225253

• 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_indexes	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_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	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': 39936, 'analytic_conductor': 147.26876737432858, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, -1], [13, 1]], 'atkin_lehner_string': '--+', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [2496, 1, [703, 1093, 833, 769], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_indexes': [1], 'dim': 3, 'field_disc': 3144, 'field_disc_factorization': [[2, 3], [3, 1], [131, 1]], 'field_poly': [-8, -16, -1, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[5, [864, -252, 4, 1]], [7, [-1984, -288, 30, 1]], [11, [30336, -2256, 16, 1]]], 'hecke_orbit': 42, 'hecke_orbit_code': 184647584789301696, 'hecke_ring_generator_nbound': 11, 'hecke_ring_index': 8, 'hecke_ring_index_factorization': [[2, 3]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '2496.4.a.bp', 'level': 2496, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 13], 'level_radical': 78, 'minimal_twist': '39.4.a.c', 'nf_label': '3.3.3144.1', 'prim_orbit_index': 1, 'qexp_display': 'q+3q^{3}+(-1+\\beta _{2})q^{5}+(-11-3\\beta _{1}+\\cdots)q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2496.4.a', 'trace_display': [0, 9, -4, -30], 'trace_hash': 1893635458989416319, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.017', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.840', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '22.066', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '262.403', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, 'traces': [3, 0, 9, 0, -4, 0, -30, 0, 27, 0, -16, 0, -39, 0, -12, 0, -146, 0, 94, 0, -90, 0, 48, 0, 145, 0, 81, 0, 2, 0, -302, 0, -48, 0, 80, 0, -374, 0, -117, 0, 480, 0, -260, 0, -36, 0, 24, 0, 447, 0, -438, 0, 678, 0, 1552, 0, 282, 0, -1788, 0, -230, 0, -270, 0, 52, 0, 74, 0, 144, 0, 948, 0, -222, 0, 435, 0, -112, 0, 24, 0, 243, 0, -796, 0, 248, 0, 6, 0, 1436, 0, 390, 0, -906, 0, 4032, 0, 3242, 0, -144, 0, -774, 0, 2096, 0, 240, 0, -2172, 0, -386, 0, -1122, 0, 1290, 0, 2208, 0, -351, 0, 3028, 0, 775, 0, 1440, 0, -4680, 0, 1164, 0, -780, 0, 1052, 0, 556, 0, -108, 0, 3168, 0, -488, 0, 72, 0, 208, 0, -1928, 0, 1341, 0, -2160, 0, -3962, 0, -1314, 0, 1072, 0, -1126, 0, 2034, 0, 5952, 0, 930, 0, 4656, 0, 1072, 0, 507, 0, 846, 0, 5202, 0, 2854, 0, -5364, 0, 1196, 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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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-0.2578478886829079, -0.1489834955580713, -0.35247986891358507, -0.43921299075444403, -0.300232523325807, -0.11310308442611565, -0.13558598722677528, -0.20119332242735807, -0.17779023578362463, -0.3445656833227844, -0.2973344274472904, -0.20656151074705026, -0.24334214916630628, -0.2634688424616019, -0.1988925356382642, -0.35258969283821834, -0.16959838866777494, -0.2732910496328206, -0.08494682408013969, -0.29239229381401843, -0.3611889554600573, -0.25032738145085665, -0.3246412247383651, -0.2934007139252401], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 3, 'dual_embedding_m': 3, 'embedding_index': 3, 'embedding_m': 3, 'embedding_root_imag': 0.0, 'embedding_root_real': -3.2090497697215725, 'hecke_orbit': 42, 'hecke_orbit_code': 184647584789301696, 'label': '2496.4.a.bp.1.3', 'level': 2496, 'weight': 4}
• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  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_indexes	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_prime	boolean
  level_is_prime_power	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

  
  {'AL_dims': [[[[2, -1], [3, -1], [13, -1]], 16, 7], [[[2, 1], [3, -1], [13, 1]], 16, 7], [[[2, 1], [3, -1], [13, -1]], 20, 8], [[[2, -1], [3, -1], [13, 1]], 20, 7], [[[2, -1], [3, 1], [13, -1]], 18, 8], [[[2, 1], [3, 1], [13, -1]], 18, 7], [[[2, -1], [3, 1], [13, 1]], 18, 7], [[[2, 1], [3, 1], [13, 1]], 18, 7]], 'Nk2': 39936, 'analytic_conductor': 147.26876737432858, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [2496, 1, [703, 1093, 833, 769], [1, 1, 1, 1]], 'conrey_indexes': [1], 'cusp_dim': 1320, 'dim': 144, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 7, 11], 'hecke_orbit_code': 67111360, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5], 'label': '2496.4.a', 'level': 2496, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 13], 'level_radical': 78, 'mf_dim': 1368, 'mf_new_dim': 144, 'num_forms': 58, 'plus_dim': 76, 'prim_orbit_index': 1, 'relative_dim': 144, 'sturm_bound': 1792, 'trace_bound': 11, 'trace_display': [0, 0, 0, 0], 'traces': [144, 0, 0, 0, 0, 0, 0, 0, 1296, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3600, 0, 0, 0, -800, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7056, 0, 0, 0, 1504, 0, 0, 0, 0, 0, 0, 0, -1824, 0, 0, 0, 0, 0, 0, 0, -1056, 0, 0, 0, 0, 0, 0, 0, 10816, 0, 0, 0, 11664, 0, 0, 0, 5184, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2976, 0, 0, 0, 96, 0, 0, 0, -2208, 0, 0, 0, 9664, 0, 0, 0, 6976, 0, 0, 0, 0, 0, 0, 0, 22192, 0, 0, 0, -18432, 0, 0, 0, 0, 0, 0, 0, -9312, 0, 0, 0, 2368, 0, 0, 0, 5856, 0, 0, 0, 1632, 0, 0, 0, 6016, 0, 0, 0, 0, 0, 0, 0, -20928, 0, 0, 0, -2240, 0, 0, 0, -4128, 0, 0, 0, 24336, 0, 0, 0, 2208, 0, 0, 0, 4704, 0, 0, 0, 7104, 0, 0, 0, 0, 0, 0, 0, 0, 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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: 48960567
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 184647584789301696, 'source_is_minimal': False, 'source_label': '2496.4.a.bp.1.3', 'source_level': 2496, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 184647584789301696, 'target_is_minimal': False, 'target_label': '2496.4.a.bp.1.3', 'target_level': 2496, 'twist_class_label': '39.4.a.c.1.3', 'twist_class_level': 39, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 48960568
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 184647584789301696, 'source_is_minimal': False, 'source_label': '2496.4.a.bp.1.3', 'source_level': 2496, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 166633186279819712, 'target_is_minimal': False, 'target_label': '2496.4.a.bl.1.3', 'target_level': 2496, 'twist_class_label': '39.4.a.c.1.3', 'twist_class_level': 39, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 48960569
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 184647584789301696, 'source_is_minimal': False, 'source_label': '2496.4.a.bp.1.3', 'source_level': 2496, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 9007199321849895, 'target_is_minimal': True, 'target_label': '39.4.a.c.1.3', 'target_level': 39, 'twist_class_label': '39.4.a.c.1.3', 'twist_class_level': 39, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 48960570
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 184647584789301696, 'source_is_minimal': False, 'source_label': '2496.4.a.bp.1.3', 'source_level': 2496, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 85568392987148912, 'target_is_minimal': False, 'target_label': '624.4.a.t.1.1', 'target_level': 624, 'twist_class_label': '39.4.a.c.1.3', 'twist_class_level': 39, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 4}
  • id: 48960571
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 184647584789301696, 'source_is_minimal': False, 'source_label': '2496.4.a.bp.1.3', 'source_level': 2496, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 162129586652448592, 'target_is_minimal': False, 'target_label': '1872.4.a.bk.1.3', 'target_level': 1872, 'twist_class_label': '39.4.a.c.1.3', 'twist_class_level': 39, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 4}
  • id: 48960572
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 184647584789301696, 'source_is_minimal': False, 'source_label': '2496.4.a.bp.1.3', 'source_level': 2496, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22517998203961461, 'target_is_minimal': False, 'target_label': '117.4.a.f.1.1', 'target_level': 117, 'twist_class_label': '39.4.a.c.1.3', 'twist_class_level': 39, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 4}
  • id: 48960573
    {'conductor': 40, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 184647584789301696, 'source_is_minimal': False, 'source_label': '2496.4.a.bp.1.3', 'source_level': 2496, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 49539595968185295, 'target_is_minimal': False, 'target_label': '975.4.a.l.1.1', 'target_level': 975, 'twist_class_label': '39.4.a.c.1.3', 'twist_class_level': 39, 'twisting_char_label': '40.19', 'twisting_conrey_index': 19, 'weight': 4}
  • id: 48960574
    {'conductor': 56, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 184647584789301696, 'source_is_minimal': False, 'source_label': '2496.4.a.bp.1.3', 'source_level': 2496, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 45035996340815735, 'target_is_minimal': False, 'target_label': '1911.4.a.k.1.3', 'target_level': 1911, 'twist_class_label': '39.4.a.c.1.3', 'twist_class_level': 39, 'twisting_char_label': '56.27', 'twisting_conrey_index': 27, 'weight': 4}
  • id: 48960575
    {'conductor': 104, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 184647584789301696, 'source_is_minimal': False, 'source_label': '2496.4.a.bp.1.3', 'source_level': 2496, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 31525197458702843, 'target_is_minimal': False, 'target_label': '507.4.a.h.1.1', 'target_level': 507, 'twist_class_label': '39.4.a.c.1.3', 'twist_class_level': 39, 'twisting_char_label': '104.51', 'twisting_conrey_index': 51, 'weight': 4}
  • id: 48960576
    {'conductor': 104, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 184647584789301696, 'source_is_minimal': False, 'source_label': '2496.4.a.bp.1.3', 'source_level': 2496, 'target_conrey_index': 337, 'target_dim': 6, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021666550809083, 'target_is_minimal': False, 'target_label': '507.4.b.g.337.1', 'target_level': 507, 'twist_class_label': '39.4.a.c.1.3', 'twist_class_level': 39, 'twisting_char_label': '104.83', 'twisting_conrey_index': 83, 'weight': 4}
  • id: 48960577
    {'conductor': 104, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 184647584789301696, 'source_is_minimal': False, 'source_label': '2496.4.a.bp.1.3', 'source_level': 2496, 'target_conrey_index': 337, 'target_dim': 6, 'target_embedding_index': 6, 'target_hecke_orbit_code': 27021666550809083, 'target_is_minimal': False, 'target_label': '507.4.b.g.337.6', 'target_level': 507, 'twist_class_label': '39.4.a.c.1.3', 'twist_class_level': 39, 'twisting_char_label': '104.99', 'twisting_conrey_index': 99, 'weight': 4}
  • id: 48960578
    {'conductor': 312, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 184647584789301696, 'source_is_minimal': False, 'source_label': '2496.4.a.bp.1.3', 'source_level': 2496, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 90071992614520305, 'target_is_minimal': False, 'target_label': '1521.4.a.u.1.3', 'target_level': 1521, 'twist_class_label': '39.4.a.c.1.3', 'twist_class_level': 39, 'twisting_char_label': '312.155', 'twisting_conrey_index': 155, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2694775
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 184647584789301696, 'p': 2}
  • id: 2694776
    {'charpoly_factorization': [[[-3, 1], 3]], 'hecke_orbit_code': 184647584789301696, 'p': 3}
  • id: 2694777
    {'charpoly_factorization': [[[864, -252, 4, 1], 1]], 'hecke_orbit_code': 184647584789301696, 'p': 5}
  • id: 2694778
    {'charpoly_factorization': [[[-1984, -288, 30, 1], 1]], 'hecke_orbit_code': 184647584789301696, 'p': 7}
  • id: 2694779
    {'charpoly_factorization': [[[30336, -2256, 16, 1], 1]], 'hecke_orbit_code': 184647584789301696, 'p': 11}
  • id: 2694780
    {'charpoly_factorization': [[[13, 1], 3]], 'hecke_orbit_code': 184647584789301696, 'p': 13}
  • id: 2694781
    {'charpoly_factorization': [[[71256, 6060, 146, 1], 1]], 'hecke_orbit_code': 184647584789301696, 'p': 17}
  • id: 2694782
    {'charpoly_factorization': [[[779616, -14432, -94, 1], 1]], 'hecke_orbit_code': 184647584789301696, 'p': 19}
  • id: 2694783
    {'charpoly_factorization': [[[-534528, -20928, -48, 1], 1]], 'hecke_orbit_code': 184647584789301696, 'p': 23}
  • id: 2694784
    {'charpoly_factorization': [[[199176, -10116, -2, 1], 1]], 'hecke_orbit_code': 184647584789301696, 'p': 29}
  • id: 2694785
    {'charpoly_factorization': [[[-7197248, -17536, 302, 1], 1]], 'hecke_orbit_code': 184647584789301696, 'p': 31}
  • id: 2694786
    {'charpoly_factorization': [[[-7758104, -36964, 374, 1], 1]], 'hecke_orbit_code': 184647584789301696, 'p': 37}
  • id: 2694787
    {'charpoly_factorization': [[[12919824, 1716, -480, 1], 1]], 'hecke_orbit_code': 184647584789301696, 'p': 41}
  • id: 2694788
    {'charpoly_factorization': [[[-3663168, -38096, 260, 1], 1]], 'hecke_orbit_code': 184647584789301696, 'p': 43}
  • id: 2694789
    {'charpoly_factorization': [[[-18102528, -168480, -24, 1], 1]], 'hecke_orbit_code': 184647584789301696, 'p': 47}
  • id: 2694790
    {'charpoly_factorization': [[[1471608, -42228, -678, 1], 1]], 'hecke_orbit_code': 184647584789301696, 'p': 53}
  • id: 2694791
    {'charpoly_factorization': [[[137423808, 956112, 1788, 1], 1]], 'hecke_orbit_code': 184647584789301696, 'p': 59}
  • id: 2694792
    {'charpoly_factorization': [[[-6279512, -44452, 230, 1], 1]], 'hecke_orbit_code': 184647584789301696, 'p': 61}
  • id: 2694793
    {'charpoly_factorization': [[[4260896, -409216, -74, 1], 1]], 'hecke_orbit_code': 184647584789301696, 'p': 67}
  • id: 2694794
    {'charpoly_factorization': [[[70464384, -12576, -948, 1], 1]], 'hecke_orbit_code': 184647584789301696, 'p': 71}
  • id: 2694795
    {'charpoly_factorization': [[[22780552, -943236, 222, 1], 1]], 'hecke_orbit_code': 184647584789301696, 'p': 73}
  • id: 2694796
    {'charpoly_factorization': [[[-7757824, -78336, -24, 1], 1]], 'hecke_orbit_code': 184647584789301696, 'p': 79}
  • id: 2694797
    {'charpoly_factorization': [[[13963968, 189072, 796, 1], 1]], 'hecke_orbit_code': 184647584789301696, 'p': 83}
  • id: 2694798
    {'charpoly_factorization': [[[-30129888, 421284, -1436, 1], 1]], 'hecke_orbit_code': 184647584789301696, 'p': 89}
  • id: 2694799
    {'charpoly_factorization': [[[-1218481048, 3465500, -3242, 1], 1]], 'hecke_orbit_code': 184647584789301696, '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': 1, 'hecke_orbit': 42, 'label': '2496.4.a.bp', 'level': 2496, 'portrait': 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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 274418000
    {'hecke_orbit_code': 184647584789301696, 'n': 1, 'trace_an': 3}
  • id: 274418001
    {'hecke_orbit_code': 184647584789301696, 'n': 2, 'trace_an': 0}
  • id: 274418002
    {'hecke_orbit_code': 184647584789301696, 'n': 3, 'trace_an': 9}
  • id: 274418003
    {'hecke_orbit_code': 184647584789301696, 'n': 4, 'trace_an': 0}
  • id: 274418004
    {'hecke_orbit_code': 184647584789301696, 'n': 5, 'trace_an': -4}
  • id: 274418005
    {'hecke_orbit_code': 184647584789301696, 'n': 6, 'trace_an': 0}
  • id: 274418006
    {'hecke_orbit_code': 184647584789301696, 'n': 7, 'trace_an': -30}
  • id: 274418007
    {'hecke_orbit_code': 184647584789301696, 'n': 8, 'trace_an': 0}
  • id: 274418008
    {'hecke_orbit_code': 184647584789301696, 'n': 9, 'trace_an': 27}
  • id: 274418009
    {'hecke_orbit_code': 184647584789301696, 'n': 10, 'trace_an': 0}
  • id: 274418010
    {'hecke_orbit_code': 184647584789301696, 'n': 11, 'trace_an': -16}
  • id: 274418011
    {'hecke_orbit_code': 184647584789301696, 'n': 12, 'trace_an': 0}
  • id: 274418012
    {'hecke_orbit_code': 184647584789301696, 'n': 13, 'trace_an': -39}
  • id: 274418013
    {'hecke_orbit_code': 184647584789301696, 'n': 14, 'trace_an': 0}
  • id: 274418014
    {'hecke_orbit_code': 184647584789301696, 'n': 15, 'trace_an': -12}
  • id: 274418015
    {'hecke_orbit_code': 184647584789301696, 'n': 16, 'trace_an': 0}
  • id: 274418016
    {'hecke_orbit_code': 184647584789301696, 'n': 17, 'trace_an': -146}
  • id: 274418017
    {'hecke_orbit_code': 184647584789301696, 'n': 18, 'trace_an': 0}
  • id: 274418018
    {'hecke_orbit_code': 184647584789301696, 'n': 19, 'trace_an': 94}
  • id: 274418019
    {'hecke_orbit_code': 184647584789301696, 'n': 20, 'trace_an': 0}
  • id: 274418020
    {'hecke_orbit_code': 184647584789301696, 'n': 21, 'trace_an': -90}
  • id: 274418021
    {'hecke_orbit_code': 184647584789301696, 'n': 22, 'trace_an': 0}
  • id: 274418022
    {'hecke_orbit_code': 184647584789301696, 'n': 23, 'trace_an': 48}
  • id: 274418023
    {'hecke_orbit_code': 184647584789301696, 'n': 24, 'trace_an': 0}
  • id: 274418024
    {'hecke_orbit_code': 184647584789301696, 'n': 25, 'trace_an': 145}
  • id: 274418025
    {'hecke_orbit_code': 184647584789301696, 'n': 26, 'trace_an': 0}
  • id: 274418026
    {'hecke_orbit_code': 184647584789301696, 'n': 27, 'trace_an': 81}
  • id: 274418027
    {'hecke_orbit_code': 184647584789301696, 'n': 28, 'trace_an': 0}
  • id: 274418028
    {'hecke_orbit_code': 184647584789301696, 'n': 29, 'trace_an': 2}
  • id: 274418029
    {'hecke_orbit_code': 184647584789301696, 'n': 30, 'trace_an': 0}
  • id: 274418030
    {'hecke_orbit_code': 184647584789301696, 'n': 31, 'trace_an': -302}
  • id: 274418031
    {'hecke_orbit_code': 184647584789301696, 'n': 32, 'trace_an': 0}
  • id: 274418032
    {'hecke_orbit_code': 184647584789301696, 'n': 33, 'trace_an': -48}
  • id: 274418033
    {'hecke_orbit_code': 184647584789301696, 'n': 34, 'trace_an': 0}
  • id: 274418034
    {'hecke_orbit_code': 184647584789301696, 'n': 35, 'trace_an': 80}
  • id: 274418035
    {'hecke_orbit_code': 184647584789301696, 'n': 36, 'trace_an': 0}
  • id: 274418036
    {'hecke_orbit_code': 184647584789301696, 'n': 37, 'trace_an': -374}
  • id: 274418037
    {'hecke_orbit_code': 184647584789301696, 'n': 38, 'trace_an': 0}
  • id: 274418038
    {'hecke_orbit_code': 184647584789301696, 'n': 39, 'trace_an': -117}
  • id: 274418039
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