Embedded newform data - 3332.2.a.d.1.1

Formats: - HTML - YAML - JSON - 2024-12-12T17:27:04.000821

• 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': 13328, 'analytic_conductor': 26.606153953490622, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [7, 1], [17, 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': [3332, 1, [1667, 885, 785], [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, [-1, 1]], [5, [4, 1]]], 'hecke_orbit': 4, 'hecke_orbit_code': 13510798915669252, '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': '3332.2.a.d', 'level': 3332, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 7, 17], 'level_radical': 238, 'minimal_twist': '476.2.i.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+q^{3}-4q^{5}-2q^{9}-3q^{11}-5q^{13}+\\cdots', 'related_objects': ['EllipticCurve/Q/3332/d'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '3332.2.a', 'trace_display': [0, 1, -4, 0], 'trace_hash': 1784656632942407791, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.035', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.989', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.059', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.972', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.128', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.868', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.011', 'prec': 17}, 'traces': [1, 0, 1, 0, -4, 0, 0, 0, -2, 0, -3, 0, -5, 0, -4, 0, -1, 0, 6, 0, 0, 0, -4, 0, 11, 0, -5, 0, 8, 0, 0, 0, -3, 0, 0, 0, -8, 0, -5, 0, -8, 0, 10, 0, 8, 0, -2, 0, 0, 0, -1, 0, 3, 0, 12, 0, 6, 0, 2, 0, -8, 0, 0, 0, 20, 0, 14, 0, -4, 0, 7, 0, -8, 0, 11, 0, 0, 0, 15, 0, 1, 0, 12, 0, 4, 0, 8, 0, 1, 0, 0, 0, 0, 0, -24, 0, 18, 0, 6, 0, -6, 0, 4, 0, 0, 0, 1, 0, -8, 0, -8, 0, -8, 0, 16, 0, 10, 0, 0, 0, -2, 0, -8, 0, -24, 0, 8, 0, 10, 0, -4, 0, 0, 0, 20, 0, -7, 0, -1, 0, -2, 0, 15, 0, -32, 0, 0, 0, -11, 0, 10, 0, 2, 0, 0, 0, 1, 0, 3, 0, 0, 0, 4, 0, 12, 0, -19, 0, 12, 0, -12, 0, -2, 0, 0, 0, 2, 0, 0, 0, 18, 0, -8, 0, 32, 0, 3, 0, 0, 0, 12, 0, -10, 0, 20, 0, 18, 0, -7, 0, 14, 0, 0, 0, 32, 0, 8, 0, -18, 0, -4, 0, 7, 0, -40, 0, 0, 0, -8, 0, 5, 0, -6, 0, -22, 0, 25, 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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[]
  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': [0, 0, 0, 0, 15, 11, 11, 17], 'Nk2': 13328, 'analytic_conductor': 26.606153953490622, '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': [3332, 1, [1667, 885, 785], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 481, 'dim': 54, 'eis_dim': 47, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 5], 'hecke_orbit_code': 33557764, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 4, 4, 8, 8], 'label': '3332.2.a', 'level': 3332, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 7, 17], 'level_radical': 238, 'mf_dim': 528, 'mf_new_dim': 54, 'num_forms': 21, 'plus_dim': 22, 'prim_orbit_index': 1, 'relative_dim': 54, 'sturm_bound': 1008, 'trace_bound': 9, 'trace_display': [0, 2, 4, 0], 'traces': [54, 0, 2, 0, 4, 0, 0, 0, 58, 0, 2, 0, 0, 0, 12, 0, 2, 0, 0, 0, 0, 0, 2, 0, 58, 0, 8, 0, 0, 0, 6, 0, -4, 0, 0, 0, 20, 0, 24, 0, 8, 0, 32, 0, 8, 0, -16, 0, 0, 0, -2, 0, -12, 0, 16, 0, 40, 0, 4, 0, 4, 0, 0, 0, 4, 0, 16, 0, 4, 0, 14, 0, -8, 0, -38, 0, 0, 0, 42, 0, 62, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, -4, 0, -16, 0, 24, 0, -6, 0, 0, 0, -36, 0, 0, 0, 2, 0, 60, 0, 0, 0, -44, 0, 12, 0, -36, 0, 0, 0, 70, 0, -64, 0, 0, 0, 36, 0, 4, 0, 46, 0, 0, 0, 116, 0, 112, 0, 22, 0, 128, 0, 24, 0, 36, 0, 0, 0, 4, 0, -20, 0, 10, 0, 88, 0, -4, 0, 12, 0, 0, 0, -94, 0, -4, 0, -30, 0, 66, 0, 40, 0, 20, 0, 0, 0, 52, 0, -60, 0, -16, 0, -68, 0, 16, 0, 10, 0, 0, 0, 64, 0, -4, 0, 28, 0, 8, 0, -34, 0, -32, 0, 0, 0, 12, 0, 54, 0, -8, 0, -82, 0, 4, 0, -72, 0, 0, 0, 48, 0, -12, 0, -16, 0, 174, 0, 2, 0, -4, 0, 0, 0, -68, 0, -24, 0, 20, 0, -32, 0, 0, 0, 66, 0, 0, 0, -32, 0, -144, 0, -28, 0, -32, 0, -12, 0, -8, 0, 0, 0, -252, 0, 40, 0, 12, 0, 124, 0, 24, 0, 12, 0, 0, 0, 10, 0, -36, 0, -2, 0, -112, 0, 2, 0, -68, 0, 0, 0, 54, 0, 44, 0, -8, 0, -164, 0, -8, 0, 16, 0, 0, 0, -116, 0, 40, 0, 20, 0, -108, 0, -38, 0, -104, 0, 0, 0, 132, 0, -132, 0, -64, 0, 4, 0, -8, 0, 84, 0, 0, 0, 136, 0, 128, 0, 52, 0, 48, 0, -32, 0, -108, 0, 0, 0, -88, 0, 74, 0, -16, 0, 132, 0, 60, 0, -76, 0, 0, 0, 88, 0, 58, 0, 6, 0, 16, 0, -18, 0, 192, 0, 0, 0, 96, 0, 44, 0, 8, 0, 22, 0, 88, 0, 36, 0, 0, 0, 204, 0, -88, 0, 6, 0, -4, 0, -72, 0, 76, 0, 0, 0, -32, 0, -112, 0, 8, 0, 80, 0, 20, 0, 28, 0, 0, 0, -140, 0, -44, 0, 14, 0, 96, 0, 20, 0, 22, 0, 0, 0, 44, 0, -30, 0, 12, 0, 44, 0, -72, 0, -22, 0, 0, 0, -4, 0, -48, 0, 0, 0, -4, 0, -24, 0, -60, 0, 0, 0, 36, 0, -32, 0, -20, 0, -52, 0, -44, 0, -36, 0, 0, 0, -92, 0, 108, 0, -36, 0, -20, 0, 22, 0, 112, 0, 0, 0, -36, 0, 254, 0, -48, 0, -168, 0, -8, 0, -52, 0, 0, 0, -166, 0, -124, 0, -2, 0, 36, 0, -26, 0, -40, 0, 0, 0, 12, 0, -200, 0, -8, 0, -124, 0, 64, 0, -100, 0, 0, 0, -2, 0, 110, 0, 132, 0, 4, 0, 0, 0, 76, 0, 0, 0, 88, 0, -112, 0, -88, 0, -62, 0, -60, 0, -160, 0, 0, 0, -68, 0, 100, 0, -16, 0, 8, 0, 44, 0, 204, 0, 0, 0, -168, 0, -66, 0, 48, 0, -82, 0, 16, 0, -220, 0, 0, 0, -260, 0, 212, 0, 60, 0, -124, 0, 28, 0, -72, 0, 0, 0, 4, 0, -144, 0, 20, 0, -180, 0, -20, 0, 254, 0, 0, 0, -96, 0, 100, 0, -36, 0, 72, 0, 30, 0, 172, 0, 0, 0, 182, 0, 292, 0, 20, 0, -4, 0, -32, 0, 108, 0, 0, 0, -182, 0, -68, 0, -118, 0, -168, 0, 80, 0, 64, 0, 0, 0, 12, 0, -148, 0, -88, 0, -300, 0, 72, 0, 40, 0, 0, 0, -28, 0, -96, 0, -32, 0, 144, 0, -108, 0, -104, 0, 0, 0, 248, 0, -222, 0, 8, 0, -212, 0, -116, 0, -118, 0, 0, 0, -328, 0, 56, 0, -8, 0, 72, 0, -96, 0, -48, 0, 0, 0, -100, 0, -138, 0, 64, 0, -256, 0, -44, 0, 98, 0, 0, 0, -112, 0, 156, 0, 12, 0, -134, 0, -4, 0, -60, 0, 0, 0, 16, 0, 108, 0, -64, 0, 170, 0, 64, 0, 4, 0, 0, 0, 170, 0, -72, 0, -64, 0, 36, 0, 20, 0, -140, 0, 0, 0, -28, 0, -392, 0, 12, 0, 204, 0, -20, 0, 34, 0, 0, 0, -76, 0, 136, 0, -24, 0, 96, 0, -46, 0, -208, 0, 0, 0, 292, 0, 84, 0, -80, 0, 24, 0, -8, 0, 176, 0, 0, 0, -220, 0, -88, 0, 46, 0, -104, 0, 24, 0, -220, 0, 0, 0, -208, 0, -138, 0, 0, 0, -118, 0, 32, 0, -152, 0, 0, 0, 120, 0, -296, 0, -62, 0, 38, 0, -68, 0, 316, 0, 0, 0, -196, 0, 68, 0, 112, 0, -264, 0, 72, 0, 148, 0, 0, 0, -184, 0, 188, 0, 2, 0, -276, 0, -52, 0, 172, 0, 0, 0, -36, 0, -352, 0, 104, 0, 84, 0, 80, 0, 78, 0, 0, 0, 214, 0, -108, 0, 40, 0, -80, 0, -48, 0, 36, 0, 0, 0, 8, 0, -54, 0, -104, 0, -390, 0, -120, 0, -52, 0, 0, 0, 148, 0, -76, 0, 72, 0, 20, 0, 40, 0, -136, 0, 0, 0, -148, 0, -44, 0, 44, 0, 160, 0, 52, 0, -16, 0, 0, 0, -54, 0, 252, 0, -152, 0, -8, 0, -100, 0, 192, 0, 0, 0, 246, 0, 190, 0, -52, 0, 36, 0, -12, 0, -12, 0, 0, 0, -196, 0, -148, 0, 88, 0, 36, 0, -78, 0, -92, 0, 0, 0, -200, 0, 94, 0, -104, 0, 144, 0, -20, 0, -260, 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: 42631810
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13510798915669252, 'source_is_minimal': False, 'source_label': '3332.2.a.d.1.1', 'source_level': 3332, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510798915669252, 'target_is_minimal': False, 'target_label': '3332.2.a.d.1.1', 'target_level': 3332, 'twist_class_label': '476.2.i.a.137.1', 'twist_class_level': 476, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 42631811
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13510798915669252, 'source_is_minimal': False, 'source_label': '3332.2.a.d.1.1', 'source_level': 3332, 'target_conrey_index': 137, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 549789368796, 'target_is_minimal': True, 'target_label': '476.2.i.a.137.1', 'target_level': 476, 'twist_class_label': '476.2.i.a.137.1', 'twist_class_level': 476, 'twisting_char_label': '7.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 42631812
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13510798915669252, 'source_is_minimal': False, 'source_label': '3332.2.a.d.1.1', 'source_level': 3332, 'target_conrey_index': 205, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 549789368796, 'target_is_minimal': True, 'target_label': '476.2.i.a.205.1', 'target_level': 476, 'twist_class_label': '476.2.i.a.137.1', 'twist_class_level': 476, 'twisting_char_label': '7.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 42631813
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13510798915669252, 'source_is_minimal': False, 'source_label': '3332.2.a.d.1.1', 'source_level': 3332, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199288298756, 'target_is_minimal': False, 'target_label': '3332.2.a.c.1.1', 'target_level': 3332, 'twist_class_label': '476.2.i.a.137.1', 'twist_class_level': 476, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 3128200
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 13510798915669252, 'p': 2}
  • id: 3128201
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 13510798915669252, 'p': 3}
  • id: 3128202
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 13510798915669252, 'p': 5}
  • id: 3128203
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 13510798915669252, 'p': 7}
  • id: 3128204
    {'charpoly_factorization': [[[3, 1], 1]], 'hecke_orbit_code': 13510798915669252, 'p': 11}
  • id: 3128205
    {'charpoly_factorization': [[[5, 1], 1]], 'hecke_orbit_code': 13510798915669252, 'p': 13}
  • id: 3128206
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 13510798915669252, 'p': 17}
  • id: 3128207
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 13510798915669252, 'p': 19}
  • id: 3128208
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 13510798915669252, 'p': 23}
  • id: 3128209
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 13510798915669252, 'p': 29}
  • id: 3128210
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 13510798915669252, 'p': 31}
  • id: 3128211
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 13510798915669252, 'p': 37}
  • id: 3128212
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 13510798915669252, 'p': 41}
  • id: 3128213
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 13510798915669252, 'p': 43}
  • id: 3128214
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 13510798915669252, 'p': 47}
  • id: 3128215
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 13510798915669252, 'p': 53}
  • id: 3128216
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 13510798915669252, 'p': 59}
  • id: 3128217
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 13510798915669252, 'p': 61}
  • id: 3128218
    {'charpoly_factorization': [[[-14, 1], 1]], 'hecke_orbit_code': 13510798915669252, 'p': 67}
  • id: 3128219
    {'charpoly_factorization': [[[-7, 1], 1]], 'hecke_orbit_code': 13510798915669252, 'p': 71}
  • id: 3128220
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 13510798915669252, 'p': 73}
  • id: 3128221
    {'charpoly_factorization': [[[-15, 1], 1]], 'hecke_orbit_code': 13510798915669252, 'p': 79}
  • id: 3128222
    {'charpoly_factorization': [[[-12, 1], 1]], 'hecke_orbit_code': 13510798915669252, 'p': 83}
  • id: 3128223
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 13510798915669252, 'p': 89}
  • id: 3128224
    {'charpoly_factorization': [[[-18, 1], 1]], 'hecke_orbit_code': 13510798915669252, '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': 4, 'label': '3332.2.a.d', 'level': 3332, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 33107569
    {'hecke_orbit_code': 13510798915669252, 'n': 1, 'trace_an': 1}
  • id: 33107570
    {'hecke_orbit_code': 13510798915669252, 'n': 2, 'trace_an': 0}
  • id: 33107571
    {'hecke_orbit_code': 13510798915669252, 'n': 3, 'trace_an': 1}
  • id: 33107572
    {'hecke_orbit_code': 13510798915669252, 'n': 4, 'trace_an': 0}
  • id: 33107573
    {'hecke_orbit_code': 13510798915669252, 'n': 5, 'trace_an': -4}
  • id: 33107574
    {'hecke_orbit_code': 13510798915669252, 'n': 6, 'trace_an': 0}
  • id: 33107575
    {'hecke_orbit_code': 13510798915669252, 'n': 7, 'trace_an': 0}
  • id: 33107576
    {'hecke_orbit_code': 13510798915669252, 'n': 8, 'trace_an': 0}
  • id: 33107577
    {'hecke_orbit_code': 13510798915669252, 'n': 9, 'trace_an': -2}
  • id: 33107578
    {'hecke_orbit_code': 13510798915669252, 'n': 10, 'trace_an': 0}
  • id: 33107579
    {'hecke_orbit_code': 13510798915669252, 'n': 11, 'trace_an': -3}
  • id: 33107580
    {'hecke_orbit_code': 13510798915669252, 'n': 12, 'trace_an': 0}
  • id: 33107581
    {'hecke_orbit_code': 13510798915669252, 'n': 13, 'trace_an': -5}
  • id: 33107582
    {'hecke_orbit_code': 13510798915669252, 'n': 14, 'trace_an': 0}
  • id: 33107583
    {'hecke_orbit_code': 13510798915669252, 'n': 15, 'trace_an': -4}
  • id: 33107584
    {'hecke_orbit_code': 13510798915669252, 'n': 16, 'trace_an': 0}
  • id: 33107585
    {'hecke_orbit_code': 13510798915669252, 'n': 17, 'trace_an': -1}
  • id: 33107586
    {'hecke_orbit_code': 13510798915669252, 'n': 18, 'trace_an': 0}
  • id: 33107587
    {'hecke_orbit_code': 13510798915669252, 'n': 19, 'trace_an': 6}
  • id: 33107588
    {'hecke_orbit_code': 13510798915669252, 'n': 20, 'trace_an': 0}
  • id: 33107589
    {'hecke_orbit_code': 13510798915669252, 'n': 21, 'trace_an': 0}
  • id: 33107590
    {'hecke_orbit_code': 13510798915669252, 'n': 22, 'trace_an': 0}
  • id: 33107591
    {'hecke_orbit_code': 13510798915669252, 'n': 23, 'trace_an': -4}
  • id: 33107592
    {'hecke_orbit_code': 13510798915669252, 'n': 24, 'trace_an': 0}
  • id: 33107593
    {'hecke_orbit_code': 13510798915669252, 'n': 25, 'trace_an': 11}
  • id: 33107594
    {'hecke_orbit_code': 13510798915669252, 'n': 26, 'trace_an': 0}
  • id: 33107595
    {'hecke_orbit_code': 13510798915669252, 'n': 27, 'trace_an': -5}
  • id: 33107596
    {'hecke_orbit_code': 13510798915669252, 'n': 28, 'trace_an': 0}
  • id: 33107597
    {'hecke_orbit_code': 13510798915669252, 'n': 29, 'trace_an': 8}
  • id: 33107598
    {'hecke_orbit_code': 13510798915669252, 'n': 30, 'trace_an': 0}
  • id: 33107599
    {'hecke_orbit_code': 13510798915669252, 'n': 31, 'trace_an': 0}
  • id: 33107600
    {'hecke_orbit_code': 13510798915669252, 'n': 32, 'trace_an': 0}
  • id: 33107601
    {'hecke_orbit_code': 13510798915669252, 'n': 33, 'trace_an': -3}
  • id: 33107602
    {'hecke_orbit_code': 13510798915669252, 'n': 34, 'trace_an': 0}
  • id: 33107603
    {'hecke_orbit_code': 13510798915669252, 'n': 35, 'trace_an': 0}
  • id: 33107604
    {'hecke_orbit_code': 13510798915669252, 'n': 36, 'trace_an': 0}
  • id: 33107605
    {'hecke_orbit_code': 13510798915669252, 'n': 37, 'trace_an': -8}
  • id: 33107606
    {'hecke_orbit_code': 13510798915669252, 'n': 38, 'trace_an': 0}
  • id: 33107607
    {'hecke_orbit_code': 13510798915669252, 'n': 39, 'trace_an': -5}
  • id: 33107608
    {'hecke_orbit_code': 13510798915669252, 'n': 40, 'trace_an': 0}
  • id: 33107609
    {'hecke_orbit_code': 13510798915669252, 'n': 41, 'trace_an': -8}
  • id: 33107610
    {'hecke_orbit_code': 13510798915669252, 'n': 42, 'trace_an': 0}
  • id: 33107611
    {'hecke_orbit_code': 13510798915669252, 'n': 43, 'trace_an': 10}
  • id: 33107612
    {'hecke_orbit_code': 13510798915669252, 'n': 44, 'trace_an': 0}
  • id: 33107613
    {'hecke_orbit_code': 13510798915669252, 'n': 45, 'trace_an': 8}
  • id: 33107614
    {'hecke_orbit_code': 13510798915669252, 'n': 46, 'trace_an': 0}
  • id: 33107615
    {'hecke_orbit_code': 13510798915669252, 'n': 47, 'trace_an': -2}
  • id: 33107616
    {'hecke_orbit_code': 13510798915669252, 'n': 48, 'trace_an': 0}
  • id: 33107617
    {'hecke_orbit_code': 13510798915669252, 'n': 49, 'trace_an': 0}
  • id: 33107618
    {'hecke_orbit_code': 13510798915669252, 'n': 50, 'trace_an': 0}
  • id: 33107619
    {'hecke_orbit_code': 13510798915669252, 'n': 51, 'trace_an': -1}
  • id: 33107620
    {'hecke_orbit_code': 13510798915669252, 'n': 52, 'trace_an': 0}
  • id: 33107621
    {'hecke_orbit_code': 13510798915669252, 'n': 53, 'trace_an': 3}
  • id: 33107622
    {'hecke_orbit_code': 13510798915669252, 'n': 54, 'trace_an': 0}
  • id: 33107623
    {'hecke_orbit_code': 13510798915669252, 'n': 55, 'trace_an': 12}
  • id: 33107624
    {'hecke_orbit_code': 13510798915669252, 'n': 56, 'trace_an': 0}
  • id: 33107625
    {'hecke_orbit_code': 13510798915669252, 'n': 57, 'trace_an': 6}
  • id: 33107626
    {'hecke_orbit_code': 13510798915669252, 'n': 58, 'trace_an': 0}
  • id: 33107627
    {'hecke_orbit_code': 13510798915669252, 'n': 59, 'trace_an': 2}
  • id: 33107628
    {'hecke_orbit_code': 13510798915669252, 'n': 60, 'trace_an': 0}
  • id: 33107629
    {'hecke_orbit_code': 13510798915669252, 'n': 61, 'trace_an': -8}
  • id: 33107630
    {'hecke_orbit_code': 13510798915669252, 'n': 62, 'trace_an': 0}
  • id: 33107631
    {'hecke_orbit_code': 13510798915669252, 'n': 63, 'trace_an': 0}
  • id: 33107632
    {'hecke_orbit_code': 13510798915669252, 'n': 64, 'trace_an': 0}
  • id: 33107633
    {'hecke_orbit_code': 13510798915669252, 'n': 65, 'trace_an': 20}
  • id: 33107634
    {'hecke_orbit_code': 13510798915669252, 'n': 66, 'trace_an': 0}
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