Embedded newform data - 4600.2.a.p.1.1

Formats: - HTML - YAML - JSON - 2026-02-10T05:16:57.438034

• 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': 18400, 'analytic_conductor': 36.731184929788974, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [5, 1], [23, 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': [4600, 1, [1151, 2301, 2577, 1201], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [0, 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, [-3, 1]], [7, [-2, 1]], [11, [0, 1]]], 'hecke_orbit': 16, 'hecke_orbit_code': 67553994444116472, 'hecke_ring_generator_nbound': 1, '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': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '4600.2.a.p', 'level': 4600, '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, 23], 'level_radical': 230, 'minimal_twist': '920.2.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+3q^{3}+2q^{7}+6q^{9}-q^{13}+6q^{21}+\\cdots', 'related_objects': ['EllipticCurve/Q/4600/p'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '4600.2.a', 'trace_display': [0, 3, 0, 2], 'trace_hash': 1168753790812752328, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.025', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.032', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.043', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.081', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.122', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.198', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.014', 'prec': 17}, 'traces': [1, 0, 3, 0, 0, 0, 2, 0, 6, 0, 0, 0, -1, 0, 0, 0, 0, 0, 0, 0, 6, 0, -1, 0, 0, 0, 9, 0, -3, 0, 3, 0, 0, 0, 0, 0, 8, 0, -3, 0, 3, 0, 2, 0, 0, 0, 11, 0, -3, 0, 0, 0, 14, 0, 0, 0, 0, 0, -8, 0, -4, 0, 12, 0, 0, 0, 4, 0, -3, 0, 7, 0, 9, 0, 0, 0, 0, 0, 0, 0, 9, 0, -4, 0, 0, 0, -9, 0, -2, 0, -2, 0, 9, 0, 0, 0, -18, 0, 0, 0, 18, 0, 4, 0, 0, 0, 16, 0, -18, 0, 24, 0, -2, 0, 0, 0, -6, 0, 0, 0, -11, 0, 9, 0, 0, 0, -11, 0, 6, 0, -9, 0, 0, 0, 0, 0, -4, 0, -11, 0, 33, 0, 0, 0, 0, 0, -9, 0, -22, 0, 7, 0, 0, 0, 0, 0, 6, 0, 42, 0, -2, 0, -7, 0, 0, 0, -16, 0, -12, 0, 0, 0, -14, 0, 0, 0, -24, 0, 21, 0, 12, 0, -12, 0, 0, 0, 0, 0, 18, 0, 2, 0, 1, 0, 0, 0, -3, 0, -4, 0, 12, 0, -6, 0, 0, 0, -6, 0, 0, 0, -16, 0, 21, 0, 0, 0, 6, 0, 27, 0, 0, 0, 16, 0, 0, 0, -2, 0, 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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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• 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

  
  {'ALdims': [13, 14, 14, 12, 12, 11, 13, 15], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [5, 6, 6, 6, 6, 6, 6, 6], 'ALdims_old': [63, 85, 83, 65, 69, 82, 82, 64], 'Nk2': 18400, 'analytic_conductor': 36.731184929788974, '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': [4600, 1, [1151, 2301, 2577, 1201], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 697, 'dim': 104, 'eis_dim': 47, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 7, 11], 'hecke_orbit_code': 33559032, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 4, 4, 5, 5, 5, 5, 5, 7, 7, 8, 8], 'label': '4600.2.a', 'level': 4600, '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, 23], 'level_radical': 230, 'mf_dim': 744, 'mf_new_dim': 104, 'num_forms': 37, 'plus_dim': 49, 'prim_orbit_index': 1, 'relative_dim': 104, 'sturm_bound': 1440, 'trace_bound': 11, 'trace_display': [0, 0, 0, -8], 'traces': [104, 0, 0, 0, 0, 0, -8, 0, 96, 0, 2, 0, -4, 0, 0, 0, 0, 0, 2, 0, -4, 0, 0, 0, 0, 0, -12, 0, 16, 0, -20, 0, -12, 0, 0, 0, 10, 0, 20, 0, 4, 0, -10, 0, 0, 0, -4, 0, 112, 0, 40, 0, -18, 0, 0, 0, -32, 0, 48, 0, 14, 0, 20, 0, 0, 0, 6, 0, -4, 0, 28, 0, -16, 0, 0, 0, -8, 0, -68, 0, 88, 0, 14, 0, 0, 0, 20, 0, 12, 0, -60, 0, 4, 0, 0, 0, -16, 0, 74, 0, -80, 0, -28, 0, 0, 0, 18, 0, -66, 0, -60, 0, 44, 0, 0, 0, 0, 0, -24, 0, 88, 0, 44, 0, 0, 0, -28, 0, 16, 0, 76, 0, -16, 0, 0, 0, -28, 0, -40, 0, 36, 0, 56, 0, 0, 0, 24, 0, -30, 0, 44, 0, 36, 0, 0, 0, -18, 0, 56, 0, -8, 0, -16, 0, 0, 0, 64, 0, 92, 0, -26, 0, 36, 0, 0, 0, 16, 0, 36, 0, -54, 0, 24, 0, 0, 0, -28, 0, 52, 0, -56, 0, 28, 0, 0, 0, 72, 0, 32, 0, -144, 0, 52, 0, 0, 0, 0, 0, -64, 0, -20, 0, 36, 0, 0, 0, 84, 0, -16, 0, -20, 0, -48, 0, 0, 0, 10, 0, 62, 0, 112, 0, 12, 0, 0, 0, 112, 0, 28, 0, 84, 0, 44, 0, 0, 0, -44, 0, -128, 0, -18, 0, 2, 0, 0, 0, -48, 0, -64, 0, 188, 0, 24, 0, 0, 0, -80, 0, -56, 0, -16, 0, -28, 0, 0, 0, 8, 0, -56, 0, -60, 0, 82, 0, 0, 0, 60, 0, 148, 0, -44, 0, 14, 0, 0, 0, -84, 0, 24, 0, -128, 0, 48, 0, 0, 0, -68, 0, -164, 0, 28, 0, 4, 0, 0, 0, 4, 0, 128, 0, -100, 0, 92, 0, 0, 0, -8, 0, -4, 0, 24, 0, 46, 0, 0, 0, -56, 0, -32, 0, 68, 0, -184, 0, 0, 0, -12, 0, -8, 0, -28, 0, -84, 0, 0, 0, 56, 0, 28, 0, 64, 0, 56, 0, 0, 0, -16, 0, -100, 0, -24, 0, -14, 0, 0, 0, 36, 0, -102, 0, -84, 0, -96, 0, 0, 0, 30, 0, 62, 0, 0, 0, 36, 0, 0, 0, -36, 0, -56, 0, 4, 0, -60, 0, 0, 0, 64, 0, -80, 0, 4, 0, -8, 0, 0, 0, -60, 0, -30, 0, 134, 0, -96, 0, 0, 0, -112, 0, 124, 0, 116, 0, -64, 0, 0, 0, 10, 0, -12, 0, 192, 0, -32, 0, 0, 0, -192, 0, -72, 0, -12, 0, 204, 0, 0, 0, 8, 0, 216, 0, -48, 0, -64, 0, 0, 0, -86, 0, -48, 0, 16, 0, -108, 0, 0, 0, -90, 0, -84, 0, -128, 0, -12, 0, 0, 0, -36, 0, 8, 0, -64, 0, -84, 0, 0, 0, 12, 0, 16, 0, 0, 0, 100, 0, 0, 0, -132, 0, 8, 0, -60, 0, -184, 0, 0, 0, -100, 0, 0, 0, 8, 0, -130, 0, 0, 0, 156, 0, 104, 0, 200, 0, -20, 0, 0, 0, 52, 0, 74, 0, -136, 0, -60, 0, 0, 0, -20, 0, 22, 0, -4, 0, -88, 0, 0, 0, 66, 0, -20, 0, -220, 0, -82, 0, 0, 0, 192, 0, -76, 0, 90, 0, 236, 0, 0, 0, -72, 0, 32, 0, 16, 0, 104, 0, 0, 0, -92, 0, -88, 0, 284, 0, -4, 0, 0, 0, -36, 0, 8, 0, -212, 0, -62, 0, 0, 0, -96, 0, -140, 0, 4, 0, 46, 0, 0, 0, -136, 0, 50, 0, -16, 0, -40, 0, 0, 0, 208, 0, 68, 0, -72, 0, 136, 0, 0, 0, -100, 0, -32, 0, 124, 0, 42, 0, 0, 0, 84, 0, -176, 0, -28, 0, 44, 0, 0, 0, 76, 0, 254, 0, -34, 0, 20, 0, 0, 0, -4, 0, 48, 0, -176, 0, -40, 0, 0, 0, 174, 0, -120, 0, -180, 0, -92, 0, 0, 0, -72, 0, -4, 0, -316, 0, 88, 0, 0, 0, 60, 0, 212, 0, -78, 0, 104, 0, 0, 0, 72, 0, 206, 0, 60, 0, 24, 0, 0, 0, -4, 0, 40, 0, -88, 0, 100, 0, 0, 0, 40, 0, 360, 0, 156, 0, -62, 0, 0, 0, 164, 0, -240, 0, 256, 0, 204, 0, 0, 0, 282, 0, 40, 0, -24, 0, 180, 0, 0, 0, -130, 0, -20, 0, 64, 0, -56, 0, 0, 0, 48, 0, -220, 0, 404, 0, -134, 0, 0, 0, 48, 0, 0, 0, 60, 0, -44, 0, 0, 0, 150, 0, 280, 0, 48, 0, 116, 0, 0, 0, -94, 0, 92, 0, 96, 0, -112, 0, 0, 0, 140, 0, 32, 0, 148, 0, -224, 0, 0, 0, 52, 0, -48, 0, 16, 0, -4, 0, 0, 0, 2, 0, -236, 0, 100, 0, -128, 0, 0, 0, 44, 0, -76, 0, 108, 0, -28, 0, 0, 0, -32, 0, 48, 0, 38, 0, 128, 0, 0, 0, -84, 0, -12, 0, 132, 0, -92, 0, 0, 0, 224, 0, 128, 0, -432, 0, -12, 0, 0, 0, -12, 0, -232, 0, 172, 0, -192, 0, 0, 0, 52, 0, -116, 0, -38, 0, 16, 0, 0, 0, 8, 0, 12, 0, -28, 0, 120, 0, 0, 0, -58, 0, -432, 0, -420, 0, 100, 0, 0, 0, 68, 0, -16, 0, 228, 0, -12, 0, 0, 0, -224, 0, -168, 0, -118, 0, -116, 0, 0, 0, -4, 0, -312, 0, -258, 0, -20, 0, 0, 0, 136, 0, -60, 0, -128, 0, -164, 0, 0, 0, 92, 0, -64, 0, -92, 0, 274, 0, 0, 0, -116, 0, -12, 0, 22, 0, -284, 0, 0, 0, -128, 0, 288, 0, -338, 0, -36, 0, 0, 0, 52, 0, -6, 0, 64, 0, -84, 0, 0, 0, 28, 0, -20, 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: 47905589
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67553994444116472, 'source_is_minimal': False, 'source_label': '4600.2.a.p.1.1', 'source_level': 4600, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 67553994444116472, 'target_is_minimal': False, 'target_label': '4600.2.a.p.1.1', 'target_level': 4600, 'twist_class_label': '920.2.a.a.1.1', 'twist_class_level': 920, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 47905590
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67553994444116472, 'source_is_minimal': False, 'source_label': '4600.2.a.p.1.1', 'source_level': 4600, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199288304624, 'target_is_minimal': False, 'target_label': '9200.2.a.c.1.1', 'target_level': 9200, 'twist_class_label': '920.2.a.a.1.1', 'twist_class_level': 920, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 47905591
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67553994444116472, 'source_is_minimal': False, 'source_label': '4600.2.a.p.1.1', 'source_level': 4600, 'target_conrey_index': 4049, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503874538836472, 'target_is_minimal': False, 'target_label': '4600.2.e.b.4049.1', 'target_level': 4600, 'twist_class_label': '920.2.a.a.1.1', 'twist_class_level': 920, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 47905592
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67553994444116472, 'source_is_minimal': False, 'source_label': '4600.2.a.p.1.1', 'source_level': 4600, 'target_conrey_index': 4049, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4503874538836472, 'target_is_minimal': False, 'target_label': '4600.2.e.b.4049.2', 'target_level': 4600, 'twist_class_label': '920.2.a.a.1.1', 'twist_class_level': 920, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 47905593
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67553994444116472, 'source_is_minimal': False, 'source_label': '4600.2.a.p.1.1', 'source_level': 4600, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 33555352, 'target_is_minimal': True, 'target_label': '920.2.a.a.1.1', 'target_level': 920, 'twist_class_label': '920.2.a.a.1.1', 'twist_class_level': 920, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 47905594
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67553994444116472, 'source_is_minimal': False, 'source_label': '4600.2.a.p.1.1', 'source_level': 4600, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510798915674200, 'target_is_minimal': False, 'target_label': '8280.2.a.d.1.1', 'target_level': 8280, 'twist_class_label': '920.2.a.a.1.1', 'twist_class_level': 920, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 2}
  • id: 47905595
    {'conductor': 20, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67553994444116472, 'source_is_minimal': False, 'source_label': '4600.2.a.p.1.1', 'source_level': 4600, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 36028797052520240, 'target_is_minimal': False, 'target_label': '1840.2.a.i.1.1', 'target_level': 1840, 'twist_class_label': '920.2.a.a.1.1', 'twist_class_level': 920, 'twisting_char_label': '20.19', 'twisting_conrey_index': 19, 'weight': 2}
  • id: 47905596
    {'conductor': 40, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67553994444116472, 'source_is_minimal': False, 'source_label': '4600.2.a.p.1.1', 'source_level': 4600, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 33561792, 'target_is_minimal': False, 'target_label': '7360.2.a.a.1.1', 'target_level': 7360, 'twist_class_label': '920.2.a.a.1.1', 'twist_class_level': 920, 'twisting_char_label': '40.19', 'twisting_conrey_index': 19, 'weight': 2}
  • id: 47905597
    {'conductor': 40, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67553994444116472, 'source_is_minimal': False, 'source_label': '4600.2.a.p.1.1', 'source_level': 4600, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 117093590345194688, 'target_is_minimal': False, 'target_label': '7360.2.a.ba.1.1', 'target_level': 7360, 'twist_class_label': '920.2.a.a.1.1', 'twist_class_level': 920, 'twisting_char_label': '40.29', 'twisting_conrey_index': 29, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 3646600
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 67553994444116472, 'p': 2}
  • id: 3646601
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 67553994444116472, 'p': 3}
  • id: 3646602
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 67553994444116472, 'p': 5}
  • id: 3646603
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 67553994444116472, 'p': 7}
  • id: 3646604
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 67553994444116472, 'p': 11}
  • id: 3646605
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 67553994444116472, 'p': 13}
  • id: 3646606
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 67553994444116472, 'p': 17}
  • id: 3646607
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 67553994444116472, 'p': 19}
  • id: 3646608
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 67553994444116472, 'p': 23}
  • id: 3646609
    {'charpoly_factorization': [[[3, 1], 1]], 'hecke_orbit_code': 67553994444116472, 'p': 29}
  • id: 3646610
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 67553994444116472, 'p': 31}
  • id: 3646611
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 67553994444116472, 'p': 37}
  • id: 3646612
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 67553994444116472, 'p': 41}
  • id: 3646613
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 67553994444116472, 'p': 43}
  • id: 3646614
    {'charpoly_factorization': [[[-11, 1], 1]], 'hecke_orbit_code': 67553994444116472, 'p': 47}
  • id: 3646615
    {'charpoly_factorization': [[[-14, 1], 1]], 'hecke_orbit_code': 67553994444116472, 'p': 53}
  • id: 3646616
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 67553994444116472, 'p': 59}
  • id: 3646617
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 67553994444116472, 'p': 61}
  • id: 3646618
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 67553994444116472, 'p': 67}
  • id: 3646619
    {'charpoly_factorization': [[[-7, 1], 1]], 'hecke_orbit_code': 67553994444116472, 'p': 71}
  • id: 3646620
    {'charpoly_factorization': [[[-9, 1], 1]], 'hecke_orbit_code': 67553994444116472, 'p': 73}
  • id: 3646621
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 67553994444116472, 'p': 79}
  • id: 3646622
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 67553994444116472, 'p': 83}
  • id: 3646623
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 67553994444116472, 'p': 89}
  • id: 3646624
    {'charpoly_factorization': [[[18, 1], 1]], 'hecke_orbit_code': 67553994444116472, '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': 16, 'label': '4600.2.a.p', 'level': 4600, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 60602113
    {'hecke_orbit_code': 67553994444116472, 'n': 1, 'trace_an': 1}
  • id: 60602114
    {'hecke_orbit_code': 67553994444116472, 'n': 2, 'trace_an': 0}
  • id: 60602115
    {'hecke_orbit_code': 67553994444116472, 'n': 3, 'trace_an': 3}
  • id: 60602116
    {'hecke_orbit_code': 67553994444116472, 'n': 4, 'trace_an': 0}
  • id: 60602117
    {'hecke_orbit_code': 67553994444116472, 'n': 5, 'trace_an': 0}
  • id: 60602118
    {'hecke_orbit_code': 67553994444116472, 'n': 6, 'trace_an': 0}
  • id: 60602119
    {'hecke_orbit_code': 67553994444116472, 'n': 7, 'trace_an': 2}
  • id: 60602120
    {'hecke_orbit_code': 67553994444116472, 'n': 8, 'trace_an': 0}
  • id: 60602121
    {'hecke_orbit_code': 67553994444116472, 'n': 9, 'trace_an': 6}
  • id: 60602122
    {'hecke_orbit_code': 67553994444116472, 'n': 10, 'trace_an': 0}
  • id: 60602123
    {'hecke_orbit_code': 67553994444116472, 'n': 11, 'trace_an': 0}
  • id: 60602124
    {'hecke_orbit_code': 67553994444116472, 'n': 12, 'trace_an': 0}
  • id: 60602125
    {'hecke_orbit_code': 67553994444116472, 'n': 13, 'trace_an': -1}
  • id: 60602126
    {'hecke_orbit_code': 67553994444116472, 'n': 14, 'trace_an': 0}
  • id: 60602127
    {'hecke_orbit_code': 67553994444116472, 'n': 15, 'trace_an': 0}
  • id: 60602128
    {'hecke_orbit_code': 67553994444116472, 'n': 16, 'trace_an': 0}
  • id: 60602129
    {'hecke_orbit_code': 67553994444116472, 'n': 17, 'trace_an': 0}
  • id: 60602130
    {'hecke_orbit_code': 67553994444116472, 'n': 18, 'trace_an': 0}
  • id: 60602131
    {'hecke_orbit_code': 67553994444116472, 'n': 19, 'trace_an': 0}
  • id: 60602132
    {'hecke_orbit_code': 67553994444116472, 'n': 20, 'trace_an': 0}
  • id: 60602133
    {'hecke_orbit_code': 67553994444116472, 'n': 21, 'trace_an': 6}
  • id: 60602134
    {'hecke_orbit_code': 67553994444116472, 'n': 22, 'trace_an': 0}
  • id: 60602135
    {'hecke_orbit_code': 67553994444116472, 'n': 23, 'trace_an': -1}
  • id: 60602136
    {'hecke_orbit_code': 67553994444116472, 'n': 24, 'trace_an': 0}
  • id: 60602137
    {'hecke_orbit_code': 67553994444116472, 'n': 25, 'trace_an': 0}
  • id: 60602138
    {'hecke_orbit_code': 67553994444116472, 'n': 26, 'trace_an': 0}
  • id: 60602139
    {'hecke_orbit_code': 67553994444116472, 'n': 27, 'trace_an': 9}
  • id: 60602140
    {'hecke_orbit_code': 67553994444116472, 'n': 28, 'trace_an': 0}
  • id: 60602141
    {'hecke_orbit_code': 67553994444116472, 'n': 29, 'trace_an': -3}
  • id: 60602142
    {'hecke_orbit_code': 67553994444116472, 'n': 30, 'trace_an': 0}
  • id: 60602143
    {'hecke_orbit_code': 67553994444116472, 'n': 31, 'trace_an': 3}
  • id: 60602144
    {'hecke_orbit_code': 67553994444116472, 'n': 32, 'trace_an': 0}
  • id: 60602145
    {'hecke_orbit_code': 67553994444116472, 'n': 33, 'trace_an': 0}
  • id: 60602146
    {'hecke_orbit_code': 67553994444116472, 'n': 34, 'trace_an': 0}
  • id: 60602147
    {'hecke_orbit_code': 67553994444116472, 'n': 35, 'trace_an': 0}
  • id: 60602148
    {'hecke_orbit_code': 67553994444116472, 'n': 36, 'trace_an': 0}
  • id: 60602149
    {'hecke_orbit_code': 67553994444116472, 'n': 37, 'trace_an': 8}
  • id: 60602150
    {'hecke_orbit_code': 67553994444116472, 'n': 38, 'trace_an': 0}
  • id: 60602151
    {'hecke_orbit_code': 67553994444116472, 'n': 39, 'trace_an': -3}
  • id: 60602152
    {'hecke_orbit_code': 67553994444116472, 'n': 40, 'trace_an': 0}
  • id: 60602153
    {'hecke_orbit_code': 67553994444116472, 'n': 41, 'trace_an': 3}
  • id: 60602154
    {'hecke_orbit_code': 67553994444116472, 'n': 42, 'trace_an': 0}
  • id: 60602155
    {'hecke_orbit_code': 67553994444116472, 'n': 43, 'trace_an': 2}
  • id: 60602156
    {'hecke_orbit_code': 67553994444116472, 'n': 44, 'trace_an': 0}
  • id: 60602157
    {'hecke_orbit_code': 67553994444116472, 'n': 45, 'trace_an': 0}
  • id: 60602158
    {'hecke_orbit_code': 67553994444116472, 'n': 46, 'trace_an': 0}
  • id: 60602159
    {'hecke_orbit_code': 67553994444116472, 'n': 47, 'trace_an': 11}
  • id: 60602160
    {'hecke_orbit_code': 67553994444116472, 'n': 48, 'trace_an': 0}
  • id: 60602161
    {'hecke_orbit_code': 67553994444116472, 'n': 49, 'trace_an': -3}
  • id: 60602162
    {'hecke_orbit_code': 67553994444116472, 'n': 50, 'trace_an': 0}
  • id: 60602163
    {'hecke_orbit_code': 67553994444116472, 'n': 51, 'trace_an': 0}
  • id: 60602164
    {'hecke_orbit_code': 67553994444116472, 'n': 52, 'trace_an': 0}
  • id: 60602165
    {'hecke_orbit_code': 67553994444116472, 'n': 53, 'trace_an': 14}
  • id: 60602166
    {'hecke_orbit_code': 67553994444116472, 'n': 54, 'trace_an': 0}
  • id: 60602167
    {'hecke_orbit_code': 67553994444116472, 'n': 55, 'trace_an': 0}
  • id: 60602168
    {'hecke_orbit_code': 67553994444116472, 'n': 56, 'trace_an': 0}
  • id: 60602169
    {'hecke_orbit_code': 67553994444116472, 'n': 57, 'trace_an': 0}
  • id: 60602170
    {'hecke_orbit_code': 67553994444116472, 'n': 58, 'trace_an': 0}
  • id: 60602171
    {'hecke_orbit_code': 67553994444116472, 'n': 59, 'trace_an': -8}
  • id: 60602172
    {'hecke_orbit_code': 67553994444116472, 'n': 60, 'trace_an': 0}
  • id: 60602173
    {'hecke_orbit_code': 67553994444116472, 'n': 61, 'trace_an': -4}
  • id: 60602174
    {'hecke_orbit_code': 67553994444116472, 'n': 62, 'trace_an': 0}
  • id: 60602175
    {'hecke_orbit_code': 67553994444116472, 'n': 63, 'trace_an': 12}
  • id: 60602176
    {'hecke_orbit_code': 67553994444116472, 'n': 64, 'trace_an': 0}
  • id: 60602177
    {'hecke_orbit_code': 67553994444116472, 'n': 65, 'trace_an': 0}
  • id: 60602178
    {'hecke_orbit_code': 67553994444116472, 'n': 66, 'trace_an': 0}
  • id: 60602179
    {'hecke_orbit_code': 67553994444116472, 'n': 67, 'trace_an': 4}
  • id: 60602180
    {'hecke_orbit_code': 67553994444116472, 'n': 68, 'trace_an': 0}
  • id: 60602181
    {'hecke_orbit_code': 67553994444116472, 'n': 69, 'trace_an': -3}
  • id: 60602182
    {'hecke_orbit_code': 67553994444116472, 'n': 70, 'trace_an': 0}
  • id: 60602183
    {'hecke_orbit_code': 67553994444116472, 'n': 71, 'trace_an': 7}
  • id: 60602184
    {'hecke_orbit_code': 67553994444116472, 'n': 72, 'trace_an': 0}
  • id: 60602185
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