Embedded newform data - 3800.2.a.bd.1.2

Formats: - HTML - YAML - JSON - 2025-01-21T08:43:25.697869

• 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': 15200, 'analytic_conductor': 30.343152768086547, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [5, 1], [19, -1]], 'atkin_lehner_string': '++-', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [3800, 1, [951, 1901, 1977, 401], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 6, 'field_disc': 2430081385, 'field_disc_factorization': [[5, 1], [113, 1], [593, 1], [7253, 1]], 'field_poly': [-7, -4, 33, 16, -12, -2, 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': [[3, [-7, -4, 33, 16, -12, -2, 1]], [7, [5, 50, 87, 16, -18, -2, 1]]], 'hecke_orbit': 30, 'hecke_orbit_code': 130604389227302616, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '3800.2.a.bd', 'level': 3800, '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, 5, 19], 'level_radical': 190, 'minimal_twist': '3800.2.a.bb', 'prim_orbit_index': 1, 'qexp_display': 'q+\\beta _{1}q^{3}-\\beta _{3}q^{7}+(1+\\beta _{1}+\\beta _{2})q^{9}+\\cdots', 'related_objects': [], 'relative_dim': 6, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '3800.2.a', 'trace_display': [0, 2, 0, 2], 'trace_hash': 987761242215368577, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.472', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.420', 'prec': 17}, {'__RealLiteral__': 0, 'data': '91.428', 'prec': 20}, {'__RealLiteral__': 0, 'data': '48.872', 'prec': 20}, {'__RealLiteral__': 0, 'data': '2374.989', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.005', 'prec': 17}, 'traces': [6, 0, 2, 0, 0, 0, 2, 0, 10, 0, 3, 0, -3, 0, 0, 0, -2, 0, 6, 0, 11, 0, 4, 0, 0, 0, 20, 0, 7, 0, 5, 0, -16, 0, 0, 0, 0, 0, 8, 0, 11, 0, -7, 0, 0, 0, 20, 0, -2, 0, 13, 0, -7, 0, 0, 0, 2, 0, -4, 0, 13, 0, -1, 0, 0, 0, 25, 0, 7, 0, 29, 0, -19, 0, 0, 0, 24, 0, 28, 0, 38, 0, -15, 0, 0, 0, 57, 0, -12, 0, 0, 0, -27, 0, 0, 0, -13, 0, 10, 0, 20, 0, -10, 0, 0, 0, 26, 0, 13, 0, -10, 0, -44, 0, 0, 0, 17, 0, 9, 0, 47, 0, -35, 0, 0, 0, 44, 0, 2, 0, 7, 0, 2, 0, 0, 0, -39, 0, 43, 0, 83, 0, -30, 0, 0, 0, 28, 0, -23, 0, 18, 0, -32, 0, 0, 0, -6, 0, 25, 0, 26, 0, 5, 0, 0, 0, 17, 0, 17, 0, 10, 0, -15, 0, 0, 0, -32, 0, 32, 0, 56, 0, -15, 0, 0, 0, 20, 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320, 0, 0, 0, -367, 0, -97, 0, -245, 0, 227, 0, 0, 0, -32, 0, -182, 0, -105, 0, 334, 0, 0, 0, -5, 0, 14, 0, 168, 0, -88, 0, 0, 0, 313, 0, -34, 0, -327, 0, -55, 0, 0, 0, 235, 0, -137, 0, -12, 0, 41, 0, 0, 0, -24, 0, 130, 0, -115, 0, 218, 0, 0, 0, -89, 0, 105, 0, -49, 0, 87, 0, 0, 0, -173, 0, -6, 0, -96, 0, -29, 0, 0, 0, 126, 0, -28, 0, -49, 0, -6, 0, 0, 0, 12, 0, -22, 0, 131, 0, -179, 0, 0, 0, -358, 0, -201, 0], '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

  
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-0.1275292932356002, -0.17067183701593502, -0.25804476798052967, -0.1278338051945236, -0.35052391906573227, -0.2918120094154699, -0.22609119079835355, -0.4021570597168027, -0.15913839773692257, -0.24800298855196867], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': 0.0, 'embedding_root_real': -1.2217400931005653, 'hecke_orbit': 30, 'hecke_orbit_code': 130604389227302616, 'label': '3800.2.a.bd.1.2', 'level': 3800, 'weight': 2}
• mf_newspaces •

  Column	Type
  ALdims	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

  
  {'ALdims': [9, 12, 11, 11, 13, 7, 8, 14], 'Nk2': 15200, 'analytic_conductor': 30.343152768086547, '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': [3800, 1, [951, 1901, 1977, 401], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 577, 'dim': 85, 'eis_dim': 47, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 7], 'hecke_orbit_code': 33558232, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 6, 6, 6, 6, 6, 6], 'label': '3800.2.a', 'level': 3800, '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, 5, 19], 'level_radical': 190, 'mf_dim': 624, 'mf_new_dim': 85, 'num_forms': 31, 'plus_dim': 35, 'prim_orbit_index': 1, 'relative_dim': 85, 'sturm_bound': 1200, 'trace_bound': 13, 'trace_display': [0, 0, 0, -4], 'traces': [85, 0, 0, 0, 0, 0, -4, 0, 79, 0, 6, 0, -2, 0, 0, 0, 6, 0, 3, 0, 16, 0, 6, 0, 0, 0, 0, 0, 30, 0, -12, 0, 20, 0, 0, 0, 14, 0, 22, 0, 14, 0, 2, 0, 0, 0, 6, 0, 81, 0, 20, 0, 14, 0, 0, 0, 2, 0, -8, 0, 16, 0, 6, 0, 0, 0, -4, 0, -4, 0, 40, 0, 18, 0, 0, 0, -14, 0, -36, 0, 101, 0, -20, 0, 0, 0, -18, 0, 30, 0, 0, 0, 12, 0, 0, 0, -6, 0, -14, 0, -50, 0, 28, 0, 0, 0, -24, 0, -46, 0, 28, 0, 46, 0, 0, 0, -46, 0, 12, 0, 111, 0, -32, 0, 0, 0, -8, 0, 136, 0, 42, 0, 2, 0, 0, 0, -18, 0, -2, 0, 124, 0, 32, 0, 0, 0, 12, 0, -76, 0, 92, 0, 28, 0, 0, 0, 50, 0, 30, 0, 42, 0, 60, 0, 0, 0, 84, 0, 137, 0, 15, 0, 14, 0, 0, 0, -30, 0, 48, 0, -30, 0, 0, 0, 0, 0, -14, 0, 116, 0, 4, 0, 22, 0, 0, 0, 2, 0, 132, 0, 26, 0, -4, 0, 0, 0, 48, 0, -10, 0, 32, 0, 8, 0, 0, 0, 60, 0, -20, 0, 24, 0, -60, 0, 0, 0, -36, 0, 100, 0, 188, 0, -24, 0, 0, 0, 0, 0, 60, 0, 158, 0, -40, 0, 0, 0, 0, 0, -64, 0, 14, 0, 68, 0, 0, 0, -38, 0, 68, 0, 106, 0, -18, 0, 0, 0, 84, 0, 86, 0, 62, 0, 30, 0, 0, 0, 48, 0, -280, 0, -26, 0, -14, 0, 0, 0, -12, 0, 219, 0, -208, 0, -74, 0, 0, 0, 88, 0, -56, 0, -6, 0, -64, 0, 0, 0, 76, 0, -100, 0, -168, 0, 72, 0, 0, 0, -62, 0, -12, 0, 38, 0, -12, 0, 0, 0, 98, 0, -38, 0, 4, 0, -18, 0, 0, 0, -30, 0, -184, 0, -48, 0, 40, 0, 0, 0, -102, 0, 132, 0, 146, 0, -80, 0, 0, 0, -160, 0, -72, 0, 85, 0, -52, 0, 0, 0, -20, 0, 14, 0, -16, 0, -26, 0, 0, 0, 78, 0, 64, 0, 8, 0, -104, 0, 0, 0, 22, 0, -116, 0, -18, 0, -24, 0, 0, 0, -40, 0, 6, 0, -78, 0, 28, 0, 0, 0, -68, 0, -90, 0, -164, 0, 104, 0, 0, 0, 16, 0, -248, 0, 58, 0, 78, 0, 0, 0, 18, 0, 44, 0, -60, 0, 82, 0, 0, 0, 16, 0, 164, 0, 221, 0, -50, 0, 0, 0, -100, 0, -54, 0, 12, 0, 28, 0, 0, 0, -34, 0, -112, 0, 84, 0, -10, 0, 0, 0, -134, 0, 84, 0, -204, 0, -50, 0, 0, 0, -6, 0, -236, 0, -40, 0, 72, 0, 0, 0, -100, 0, 188, 0, -124, 0, 12, 0, 0, 0, -112, 0, 146, 0, -304, 0, -114, 0, 0, 0, 168, 0, -98, 0, -56, 0, -10, 0, 0, 0, -70, 0, 132, 0, 66, 0, -56, 0, 0, 0, 44, 0, 19, 0, -256, 0, 20, 0, 0, 0, 200, 0, -104, 0, -92, 0, 28, 0, 0, 0, 116, 0, -40, 0, -4, 0, -20, 0, 0, 0, 8, 0, 52, 0, -4, 0, 192, 0, 0, 0, -172, 0, 58, 0, 156, 0, 168, 0, 0, 0, -62, 0, -20, 0, -140, 0, 80, 0, 0, 0, -22, 0, -20, 0, 72, 0, 10, 0, 0, 0, 16, 0, -120, 0, -190, 0, -76, 0, 0, 0, 4, 0, -210, 0, -104, 0, -120, 0, 0, 0, 60, 0, -52, 0, -44, 0, -124, 0, 0, 0, -32, 0, 72, 0, -14, 0, -30, 0, 0, 0, -14, 0, 132, 0, 18, 0, -10, 0, 0, 0, -52, 0, -92, 0, 164, 0, 64, 0, 0, 0, 212, 0, 64, 0, -46, 0, -30, 0, 0, 0, 48, 0, -132, 0, -222, 0, -110, 0, 0, 0, 154, 0, 132, 0, -142, 0, 44, 0, 0, 0, 272, 0, -178, 0, 30, 0, 118, 0, 0, 0, -128, 0, -28, 0, 58, 0, 18, 0, 0, 0, 88, 0, 130, 0, -208, 0, -76, 0, 0, 0, -104, 0, 20, 0, -268, 0, -224, 0, 0, 0, -96, 0, 61, 0, 58, 0, -122, 0, 0, 0, -176, 0, 10, 0, -12, 0, 116, 0, 0, 0, 96, 0, -8, 0, 48, 0, -144, 0, 0, 0, 64, 0, -160, 0, -54, 0, -120, 0, 0, 0, 102, 0, -126, 0, 84, 0, -30, 0, 0, 0, -148, 0, 38, 0, -92, 0, -86, 0, 0, 0, -92, 0, -340, 0, -88, 0, 0, 0, 0, 0, -122, 0, 34, 0, 98, 0, 18, 0, 0, 0, -60, 0, -86, 0, -44, 0, 140, 0, 0, 0, 30, 0, 120, 0, 72, 0, 88, 0, 0, 0, 92, 0, -78, 0, 232, 0, 26, 0, 0, 0, -92, 0, -240, 0, 113, 0, -64, 0, 0, 0, -118, 0, 148, 0, -160, 0, 126, 0, 0, 0, 74, 0, -122, 0, -376, 0, 152, 0, 0, 0, -300, 0, 96, 0, 166, 0, -34, 0, 0, 0, -158, 0, -222, 0, -104, 0, -26, 0, 0, 0, 32, 0, 24, 0, -394, 0, 2, 0, 0, 0, -130, 0, 12, 0, -176, 0, 224, 0, 0, 0, 188, 0, -262, 0, -384, 0, -48, 0, 0, 0, 158, 0, 106, 0, -24, 0, 136, 0, 0, 0, 340, 0, -28, 0, 5, 0, -16, 0, 0, 0, 114, 0, -160, 0, -266, 0, -104, 0, 0, 0, -172, 0, -192, 0, -242, 0, 30, 0, 0, 0, -188, 0, -48, 0, -3, 0, -72, 0, 0, 0, 172, 0, -30, 0, -60, 0, -62, 0, 0, 0, 202, 0, 64, 0, -298, 0, -116, 0, 0, 0, -132, 0, -84, 0, 256, 0, -114, 0, 0, 0, 16, 0, 248, 0], '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: 48698258
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 2, 'source_hecke_orbit_code': 130604389227302616, 'source_is_minimal': True, 'source_label': '3800.2.a.bd.1.2', 'source_level': 3800, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 2, 'target_hecke_orbit_code': 130604389227302616, 'target_is_minimal': True, 'target_label': '3800.2.a.bd.1.2', 'target_level': 3800, 'twist_class_label': '3800.2.a.bb.1.5', 'twist_class_level': 3800, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 48698259
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 2, 'source_hecke_orbit_code': 130604389227302616, 'source_is_minimal': True, 'source_label': '3800.2.a.bd.1.2', 'source_level': 3800, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 5, 'target_hecke_orbit_code': 270215977675791792, 'target_is_minimal': False, 'target_label': '7600.2.a.ci.1.5', 'target_level': 7600, 'twist_class_label': '3800.2.a.bb.1.5', 'twist_class_level': 3800, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 48698260
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 2, 'source_hecke_orbit_code': 130604389227302616, 'source_is_minimal': True, 'source_label': '3800.2.a.bd.1.2', 'source_level': 3800, 'target_conrey_index': 3649, 'target_dim': 12, 'target_embedding_index': 9, 'target_hecke_orbit_code': 67554200602545880, 'target_is_minimal': False, 'target_label': '3800.2.d.p.3649.9', 'target_level': 3800, 'twist_class_label': '3800.2.a.bb.1.5', 'twist_class_level': 3800, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 48698261
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 2, 'source_hecke_orbit_code': 130604389227302616, 'source_is_minimal': True, 'source_label': '3800.2.a.bd.1.2', 'source_level': 3800, 'target_conrey_index': 3649, 'target_dim': 12, 'target_embedding_index': 4, 'target_hecke_orbit_code': 67554200602545880, 'target_is_minimal': False, 'target_label': '3800.2.d.p.3649.4', 'target_level': 3800, 'twist_class_label': '3800.2.a.bb.1.5', 'twist_class_level': 3800, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 48698262
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 2, 'source_hecke_orbit_code': 130604389227302616, 'source_is_minimal': True, 'source_label': '3800.2.a.bd.1.2', 'source_level': 3800, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 5, 'target_hecke_orbit_code': 121597189972561624, 'target_is_minimal': True, 'target_label': '3800.2.a.bb.1.5', 'target_level': 3800, 'twist_class_label': '3800.2.a.bb.1.5', 'twist_class_level': 3800, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 48698263
    {'conductor': 20, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 2, 'source_hecke_orbit_code': 130604389227302616, 'source_is_minimal': True, 'source_label': '3800.2.a.bd.1.2', 'source_level': 3800, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 2, 'target_hecke_orbit_code': 288230376185273776, 'target_is_minimal': False, 'target_label': '7600.2.a.cm.1.2', 'target_level': 7600, 'twist_class_label': '3800.2.a.bb.1.5', 'twist_class_level': 3800, 'twisting_char_label': '20.19', 'twisting_conrey_index': 19, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 3369600
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 130604389227302616, 'p': 2}
  • id: 3369601
    {'charpoly_factorization': [[[-7, -4, 33, 16, -12, -2, 1], 1]], 'hecke_orbit_code': 130604389227302616, 'p': 3}
  • id: 3369602
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 130604389227302616, 'p': 5}
  • id: 3369603
    {'charpoly_factorization': [[[5, 50, 87, 16, -18, -2, 1], 1]], 'hecke_orbit_code': 130604389227302616, 'p': 7}
  • id: 3369604
    {'charpoly_factorization': [[[-5400, -1080, 906, 115, -52, -3, 1], 1]], 'hecke_orbit_code': 130604389227302616, 'p': 11}
  • id: 3369605
    {'charpoly_factorization': [[[37, -303, 491, -61, -43, 3, 1], 1]], 'hecke_orbit_code': 130604389227302616, 'p': 13}
  • id: 3369606
    {'charpoly_factorization': [[[-745, 624, 303, -182, -62, 2, 1], 1]], 'hecke_orbit_code': 130604389227302616, 'p': 17}
  • id: 3369607
    {'charpoly_factorization': [[[-1, 1], 6]], 'hecke_orbit_code': 130604389227302616, 'p': 19}
  • id: 3369608
    {'charpoly_factorization': [[[-587, -714, 469, 114, -42, -4, 1], 1]], 'hecke_orbit_code': 130604389227302616, 'p': 23}
  • id: 3369609
    {'charpoly_factorization': [[[-14717, -3169, 1957, 335, -73, -7, 1], 1]], 'hecke_orbit_code': 130604389227302616, 'p': 29}
  • id: 3369610
    {'charpoly_factorization': [[[-296, 1228, -1528, 609, -70, -5, 1], 1]], 'hecke_orbit_code': 130604389227302616, 'p': 31}
  • id: 3369611
    {'charpoly_factorization': [[[-111157, -19221, 11924, 189, -208, 0, 1], 1]], 'hecke_orbit_code': 130604389227302616, 'p': 37}
  • id: 3369612
    {'charpoly_factorization': [[[-3584, -960, 3136, 639, -84, -11, 1], 1]], 'hecke_orbit_code': 130604389227302616, 'p': 41}
  • id: 3369613
    {'charpoly_factorization': [[[-79576, 18112, 12686, -975, -215, 7, 1], 1]], 'hecke_orbit_code': 130604389227302616, 'p': 43}
  • id: 3369614
    {'charpoly_factorization': [[[-90017, 72555, -21020, 2337, 12, -20, 1], 1]], 'hecke_orbit_code': 130604389227302616, 'p': 47}
  • id: 3369615
    {'charpoly_factorization': [[[-1187, 714, 358, -181, -32, 7, 1], 1]], 'hecke_orbit_code': 130604389227302616, 'p': 53}
  • id: 3369616
    {'charpoly_factorization': [[[-11944, 4496, 1926, -355, -93, 4, 1], 1]], 'hecke_orbit_code': 130604389227302616, 'p': 59}
  • id: 3369617
    {'charpoly_factorization': [[[-3880, -35240, 3438, 1547, -120, -13, 1], 1]], 'hecke_orbit_code': 130604389227302616, 'p': 61}
  • id: 3369618
    {'charpoly_factorization': [[[14207, 26469, -14043, 1603, 103, -25, 1], 1]], 'hecke_orbit_code': 130604389227302616, 'p': 67}
  • id: 3369619
    {'charpoly_factorization': [[[-39960, 71064, -22974, 1769, 177, -29, 1], 1]], 'hecke_orbit_code': 130604389227302616, 'p': 71}
  • id: 3369620
    {'charpoly_factorization': [[[1723, 2797, -1207, -377, 67, 19, 1], 1]], 'hecke_orbit_code': 130604389227302616, 'p': 73}
  • id: 3369621
    {'charpoly_factorization': [[[15040, -13216, -6260, 689, 185, -28, 1], 1]], 'hecke_orbit_code': 130604389227302616, 'p': 79}
  • id: 3369622
    {'charpoly_factorization': [[[-200, -1292, -2100, -627, -2, 15, 1], 1]], 'hecke_orbit_code': 130604389227302616, 'p': 83}
  • id: 3369623
    {'charpoly_factorization': [[[-274808, 88364, 14514, -2179, -217, 12, 1], 1]], 'hecke_orbit_code': 130604389227302616, 'p': 89}
  • id: 3369624
    {'charpoly_factorization': [[[1784, 3556, -8524, -2517, -134, 13, 1], 1]], 'hecke_orbit_code': 130604389227302616, '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': 30, 'label': '3800.2.a.bd', 'level': 3800, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 68201503
    {'hecke_orbit_code': 130604389227302616, 'n': 1, 'trace_an': 6}
  • id: 68201504
    {'hecke_orbit_code': 130604389227302616, 'n': 2, 'trace_an': 0}
  • id: 68201505
    {'hecke_orbit_code': 130604389227302616, 'n': 3, 'trace_an': 2}
  • id: 68201506
    {'hecke_orbit_code': 130604389227302616, 'n': 4, 'trace_an': 0}
  • id: 68201507
    {'hecke_orbit_code': 130604389227302616, 'n': 5, 'trace_an': 0}
  • id: 68201508
    {'hecke_orbit_code': 130604389227302616, 'n': 6, 'trace_an': 0}
  • id: 68201509
    {'hecke_orbit_code': 130604389227302616, 'n': 7, 'trace_an': 2}
  • id: 68201510
    {'hecke_orbit_code': 130604389227302616, 'n': 8, 'trace_an': 0}
  • id: 68201511
    {'hecke_orbit_code': 130604389227302616, 'n': 9, 'trace_an': 10}
  • id: 68201512
    {'hecke_orbit_code': 130604389227302616, 'n': 10, 'trace_an': 0}
  • id: 68201513
    {'hecke_orbit_code': 130604389227302616, 'n': 11, 'trace_an': 3}
  • id: 68201514
    {'hecke_orbit_code': 130604389227302616, 'n': 12, 'trace_an': 0}
  • id: 68201515
    {'hecke_orbit_code': 130604389227302616, 'n': 13, 'trace_an': -3}
  • id: 68201516
    {'hecke_orbit_code': 130604389227302616, 'n': 14, 'trace_an': 0}
  • id: 68201517
    {'hecke_orbit_code': 130604389227302616, 'n': 15, 'trace_an': 0}
  • id: 68201518
    {'hecke_orbit_code': 130604389227302616, 'n': 16, 'trace_an': 0}
  • id: 68201519
    {'hecke_orbit_code': 130604389227302616, 'n': 17, 'trace_an': -2}
  • id: 68201520
    {'hecke_orbit_code': 130604389227302616, 'n': 18, 'trace_an': 0}
  • id: 68201521
    {'hecke_orbit_code': 130604389227302616, 'n': 19, 'trace_an': 6}
  • id: 68201522
    {'hecke_orbit_code': 130604389227302616, 'n': 20, 'trace_an': 0}
  • id: 68201523
    {'hecke_orbit_code': 130604389227302616, 'n': 21, 'trace_an': 11}
  • id: 68201524
    {'hecke_orbit_code': 130604389227302616, 'n': 22, 'trace_an': 0}
  • id: 68201525
    {'hecke_orbit_code': 130604389227302616, 'n': 23, 'trace_an': 4}
  • id: 68201526
    {'hecke_orbit_code': 130604389227302616, 'n': 24, 'trace_an': 0}
  • id: 68201527
    {'hecke_orbit_code': 130604389227302616, 'n': 25, 'trace_an': 0}
  • id: 68201528
    {'hecke_orbit_code': 130604389227302616, 'n': 26, 'trace_an': 0}
  • id: 68201529
    {'hecke_orbit_code': 130604389227302616, 'n': 27, 'trace_an': 20}
  • id: 68201530
    {'hecke_orbit_code': 130604389227302616, 'n': 28, 'trace_an': 0}
  • id: 68201531
    {'hecke_orbit_code': 130604389227302616, 'n': 29, 'trace_an': 7}
  • id: 68201532
    {'hecke_orbit_code': 130604389227302616, 'n': 30, 'trace_an': 0}
  • id: 68201533
    {'hecke_orbit_code': 130604389227302616, 'n': 31, 'trace_an': 5}
  • id: 68201534
    {'hecke_orbit_code': 130604389227302616, 'n': 32, 'trace_an': 0}
  • id: 68201535
    {'hecke_orbit_code': 130604389227302616, 'n': 33, 'trace_an': -16}
  • id: 68201536
    {'hecke_orbit_code': 130604389227302616, 'n': 34, 'trace_an': 0}
  • id: 68201537
    {'hecke_orbit_code': 130604389227302616, 'n': 35, 'trace_an': 0}
  • id: 68201538
    {'hecke_orbit_code': 130604389227302616, 'n': 36, 'trace_an': 0}
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  • id: 68201739
    {'hecke_orbit_code': 130604389227302616, 'n': 857, 'trace_an': 50}
  • id: 68201740
    {'hecke_orbit_code': 130604389227302616, 'n': 859, 'trace_an': 49}
  • id: 68201741
    {'hecke_orbit_code': 130604389227302616, 'n': 863, 'trace_an': 135}
  • id: 68201742
    {'hecke_orbit_code': 130604389227302616, 'n': 877, 'trace_an': -80}
  • id: 68201743
    {'hecke_orbit_code': 130604389227302616, 'n': 881, 'trace_an': -151}
  • id: 68201744
    {'hecke_orbit_code': 130604389227302616, 'n': 883, 'trace_an': -4}
  • id: 68201745
    {'hecke_orbit_code': 130604389227302616, 'n': 887, 'trace_an': 28}
  • id: 68201746
    {'hecke_orbit_code': 130604389227302616, 'n': 907, 'trace_an': -106}
  • id: 68201747
    {'hecke_orbit_code': 130604389227302616, 'n': 911, 'trace_an': -27}
  • id: 68201748
    {'hecke_orbit_code': 130604389227302616, 'n': 919, 'trace_an': 0}
  • id: 68201749
    {'hecke_orbit_code': 130604389227302616, 'n': 929, 'trace_an': -137}
  • id: 68201750
    {'hecke_orbit_code': 130604389227302616, 'n': 937, 'trace_an': -82}
  • id: 68201751
    {'hecke_orbit_code': 130604389227302616, 'n': 941, 'trace_an': -39}
  • id: 68201752
    {'hecke_orbit_code': 130604389227302616, 'n': 947, 'trace_an': 24}
  • id: 68201753
    {'hecke_orbit_code': 130604389227302616, 'n': 953, 'trace_an': -117}
  • id: 68201754
    {'hecke_orbit_code': 130604389227302616, 'n': 961, 'trace_an': -21}
  • id: 68201755
    {'hecke_orbit_code': 130604389227302616, 'n': 967, 'trace_an': 22}
  • id: 68201756
    {'hecke_orbit_code': 130604389227302616, 'n': 971, 'trace_an': -94}
  • id: 68201757
    {'hecke_orbit_code': 130604389227302616, 'n': 977, 'trace_an': -75}
  • id: 68201758
    {'hecke_orbit_code': 130604389227302616, 'n': 983, 'trace_an': 17}
  • id: 68201759
    {'hecke_orbit_code': 130604389227302616, 'n': 991, 'trace_an': 55}
  • id: 68201760
    {'hecke_orbit_code': 130604389227302616, 'n': 997, 'trace_an': 40}