Embedded newform data - 1449.1.bq.b.118.2

Formats: - HTML - YAML - JSON - 2025-02-11T07:41:36.137105

• 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': 1449, 'analytic_conductor': 0.7231452033052205, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 161, 'char_degree': 10, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 43, 'char_orbit_label': 'bq', 'char_order': 22, 'char_parity': -1, 'char_values': [1449, 22, [1289, 829, 442], [22, 11, 10]], 'cm_discs': [-7], 'conrey_index': 55, 'dim': 20, 'field_disc': 5829995856912430117421056, 'field_disc_factorization': [[2, 20], [11, 18]], 'field_poly': [1, 0, -1, 0, 1, 0, -1, 0, 1, 0, -1, 0, 1, 0, -1, 0, 1, 0, -1, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 44, 'has_non_self_twist': 1, 'hecke_cutters': [[2, [121, 0, 605, 0, 484, 0, -968, 0, 484, 0, 99, 0, 165, 0, 0, 0, 22, 0, 0, 0, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4506485862172073, 'hecke_ring_generator_nbound': 23, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 8, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 7, 2, -1, 2, -7], [1, 1, 3, 2, -1, 2, 0], [1, 1, 21, 3, 1, 2, 0], [1, 1, 23, 3, 1, 11, 0], [1, 1, 69, 8, -1, 22, 0], [1, 1, 161, 12, -1, 22, 0], [1, 1, 483, 22, 1, 22, 0]], 'is_cm': True, 'is_largest': True, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': True, 'is_twist_minimal': True, 'label': '1449.1.bq.b', 'level': 1449, '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': [3, 7, 23], 'level_radical': 483, 'minimal_twist': '1449.1.bq.b', 'nf_label': '20.0.5829995856912430117421056.1', 'prim_orbit_index': 12, 'projective_field': [4100625, -9904275, 25683631, -4561680, 11771132, -4806632, 3159835, -3048152, 1873892, -1194645, 452701, -192840, 75140, -23570, 6446, -50, -168, 23, 85, -57, 22, -5, 1], 'projective_image': 'D22', 'projective_image_type': 'Dn', 'qexp_display': 'q+(-\\zeta_{44}^{5}-\\zeta_{44}^{7})q^{2}+(\\zeta_{44}^{10}+\\zeta_{44}^{12}+\\cdots)q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'self_twist_discs': [-7], 'self_twist_type': 1, 'space_label': '1449.1.bq', 'trace_display': [0, 0, 0, 2], 'trace_hash': 1836408044308627206, 'trace_moments': [{'__RealLiteral__': 0, 'data': '-0.078', 'prec': 20}, {'__RealLiteral__': 0, 'data': '16.669', 'prec': 20}, {'__RealLiteral__': 0, 'data': '-28.233', 'prec': 24}, {'__RealLiteral__': 0, 'data': '4440.840', 'prec': 27}, {'__RealLiteral__': 0, 'data': '-9188.482', 'prec': 30}, {'__RealLiteral__': 0, 'data': '1423487.253', 'prec': 37}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.763', 'prec': 17}, 'traces': [20, 0, 0, 2, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 22, 0, 0, 0, 0, 0, 2, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, -22, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, -18, 0, 0, -20, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -26, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18, 0, 0, 0, 0, 0, -2, 0, 0, 18, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 22, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 22, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, -22, 0, 0, 0, 0, 0, 22, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, -18, 0, 0, 22, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -22, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 22, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 22, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, -4, 0, 0, -22, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, -22, 0, 0, 0, 0, 0, 20, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, -4, 0, 0, -22, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, -22, 0, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -18, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 26, 0, 0, 0, 0, 0, -22, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 18, 0, 0, 0, 0, 0, 0, 0, 0, 18, 0, 0, 0, 0, 0, 0, 0, 0, 44, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 22, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 18, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, -22, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18, 0, 0, 0, 0, 0, 4, 0, 0, 22, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -22, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 4, 0, 0, -22, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 22, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, -22, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18, 0, 0, -22, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, -4, 0, 0, 22, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 22, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 22, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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0, 0, 0, 0, 0, 0, 0, 0, 0, 22, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 22, 0, 0, 0, 0, 0, 4, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -26, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 2, 0, 0, -18, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, -22, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18, 0, 0, -4, 0], 'weight': 1, '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

  
  {'an_normalized': [[1.0, 0.0], [0.08018944652641435, 0.5577298512751716], [0.0, 0.0], [0.6548607339452851, -0.1922844606713989], [0.0, 0.0], [0.0, 0.0], [-0.8412535328311812, 0.5406408174555976], [0.39382757098641424, 0.8623620909443839], [0.0, 0.0], [0.0, 0.0], [-0.2589082606141679, 1.8007465064456785], [0.0, 0.0], [0.0, 0.0], [-0.3689911778989208, -0.42583851982929477], [0.0, 0.0], [0.12477721438719078, -0.08018944652641435], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.0250917913439999, 0.0], [0.7557495743542583, 0.6548607339452851], [0.0, 0.0], [-0.14231483827328514, -0.9898214418809327], [0.0, 0.0], [0.0, 0.0], [-0.44694707794249744, 0.5158044243681041], [-1.899453437235451, -0.5577298512751716], [0.0, 0.0], [0.0, 0.0], [0.6755601278278439, 0.7796379483324758], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.1018078118877825, 1.2715539987223625], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.5440779606126109, -1.1913645521959482], 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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

  
  {'Nk2': 1449, 'a4_dim': 0, 'a5_dim': 0, 'analytic_conductor': 0.7231452033052205, 'char_conductor': 161, 'char_degree': 10, 'char_is_real': False, 'char_orbit_index': 43, 'char_orbit_label': 'bq', 'char_order': 22, 'char_parity': -1, 'char_values': [1449, 22, [1289, 829, 442], [22, 11, 10]], 'conrey_index': 55, 'cusp_dim': 60, 'dihedral_dim': 30, 'dim': 30, 'eis_dim': 80, 'eis_new_dim': 20, 'hecke_orbit_code': 2886234801577, 'hecke_orbit_dims': [10, 20], 'label': '1449.1.bq', 'level': 1449, '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': [3, 7, 23], 'level_radical': 483, 'mf_dim': 140, 'mf_new_dim': 50, 'num_forms': 2, 'prim_orbit_index': 12, 'relative_dim': 3, 's4_dim': 0, 'sturm_bound': 192, 'trace_bound': 1, 'trace_display': [2, 0, 0, 1], 'traces': [30, 2, 0, -1, 0, 0, 1, 4, 0, 0, 2, 0, 0, 2, 0, -18, 0, 0, 0, 0, 0, -4, 1, 0, -3, 0, 0, -5, 2, 0, 0, -5, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 2, -5, 0, -2, 0, 0, -3, -9, 0, 0, 2, 0, 0, 4, 0, 29, 0, 0, 0, 0, 0, -5, 0, 0, -6, 0, 0, 0, 2, 0, 0, -7, 0, 0, -9, 0, -6, 0, 0, 0, 0, 0, 0, 4, 0, -19, 0, 0, 0, 3, 0, 0, 0, 0, 0, -9, 0, -1, 0, 0, 0, 0, 0, -4, 2, 0, -9, 0, 0, -14, 2, 0, 0, 6, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0, -6, 8, 0, 0, 0, 0, 0, 4, 0, 0, 2, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, -21, 2, 0, 2, 0, 0, -4, 0, 0, 0, -7, 0, 0, 1, 0, 27, 0, 0, 0, 0, 0, -3, 0, 0, 23, 0, 0, 1, -1, 0, 0, -9, 0, 0, 0, 0, 29, 0, 0, 0, 0, 0, 0, -9, 0, 2, 0, 0, -1, 2, 0, 0, 4, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 2, -5, 0, -4, 0, 0, 0, 4, 0, 0, 0, 0, 0, -5, 0, -4, 0, 0, 0, 0, 0, 25, 2, 0, 0, 0, 0, 0, 2, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2, 4, 0, 22, 0, 0, -6, 0, 0, 0, 2, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, -4, 2, 0, -6, 0, 0, 0, 2, 0, 0, -5, 0, 0, 0, 0, -3, 0, 0, 0, 0, 0, 0, 8, 0, -4, 0, 0, -6, -7, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, -2, 2, 0, -4, 0, 0, -2, 0, 0, 0, 4, 0, 0, 0, 0, -9, 0, 0, 0, 0, 0, -9, 2, 0, 0, 0, 0, 1, -14, 0, 0, 2, 0, 0, 2, 0, -23, 0, 0, 0, 0, 0, 29, -9, 0, -3, 0, 0, 0, 0, 0, 0, 5, 0, 0, 2, 0, -6, 0, 0, 0, 0, 0, -9, 0, 0, 29, 0, 0, 0, -7, 0, 0, 2, 0, 0, 4, 0, -15, 0, 0, 0, 0, 0, -7, -9, 0, 0, 0, 0, 29, -7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6, 4, 0, 25, 0, 0, 0, 6, 0, 0, 2, 0, 0, 0, 0, -10, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 24, 2, 0, 0, 6, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, -6, -1, 0, -15, 0, 0, 2, 0, 0, 0, 4, 0, 0, 0, 0, -15, 0, 0, 0, 0, 0, 22, 0, 0, 2, 0, 0, 0, 2, 0, 0, 0, 0, 0, 2, 0, 2, 0, 0, 0, 0, 0, 0, -7, 0, -13, 0, 0, 0, -1, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 1, 0, 0, 0, 0, 0, 0, -14, 0, 0, 2, 0, -6, 0, 0, 0, 0, 0, -6, -16, 0, -15, 0, 0, 2, 4, 0, 0, 2, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, -8, 2, 0, -6, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, -6, 0, 0, 0, -5, 0, 0, 2, 0, 0, 4, 0, -10, 0, 0, 0, 0, 0, 0, 0, 0, -6, 0, 0, -19, -9, 0, 0, 0, 0, 0, 0, 0, -3, 0, 0, 0, 0, 0, -6, -3, 0, -4, 0, 0, 0, -3, 0, 0, 2, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, -13, 2, 0, 0, 0, 0, 0, 2, 0, 0, 4, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, -9, 4, 0, -1, 0, 0, 0, 0, 0, 0, -9, 0, 0, -9, 0, 27, 0, 0, 0, 0, 0, -15, 0, 0, 0, 0, 0, 28, 2, 0, 0, 3, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 6, 0, -4, 0, 0, 0, 2, 0, 0, -9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6, 4, 0, -6, 0, 0, -4, 2, 0, 0, 4, 0, 0, -9, 0, 2, 0, 0, 0, 0, 0, 2, 4, 0, 0, 0, 0, 27, 6, 0, 0, 0, 0, 0, 0, 0, 23, 0, 0, 0, 0, 0, -4, 0, 0, 62, 0, 0, -7, 0, 0, 0, -5, 0, 0, -9, 0, 0, 0, 0, 0, 0, 0, 0, -5, 0, -4, 0, 0, 0, 0, 0, 0, 2, 0, 0, 6, 0, 25, 0, 0, 0, 0, 0, 0, 2, 0, -6, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, 4, 0, 23, 0, 0, -5, -1, 0, 0, 2, 0, 0, 0, 0, -19, 0, 0, 0, 0, 0, -4, 2, 0, 0, 0, 0, 0, 4, 0, 0, 8, 0, 0, 0, 0, 27, 0, 0, 0, 0, 0, 2, 0, 0, 29, 0, 0, 2, 0, 0, 0, 0, 0, 0, 8, 0, -4, 0, 0, 0, 0, 0, -19, 0, 0, 2, 0, 0, 0, 2, 0, 0, 4, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 2, 4, 0, -23, 0, 0, 0, 6, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, -8, 2, 0, 0, 0, 0, 0, -9, 0, 0, -5, 0, 0, 2, 0, -3, 0, 0, 0, 0, 0, -6, 1, 0, 0, 0, 0, 0, -7, 0, 0, 2, 0, 0, 0, 0, 29, 0, 0, 0, 0, 0, 0, 2, 0, 2, 0, 0, -15, 0, 0, 0, 4, 0, 0], 'weight': 1, '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: 39419410
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 118, 'source_dim': 20, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4506485862172073, 'source_is_minimal': True, 'source_label': '1449.1.bq.b.118.2', 'source_level': 1449, 'target_conrey_index': 118, 'target_dim': 20, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4506485862172073, 'target_is_minimal': True, 'target_label': '1449.1.bq.b.118.2', 'target_level': 1449, 'twist_class_label': '1449.1.bq.b.118.1', 'twist_class_level': 1449, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 1}
  • id: 39419411
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 118, 'source_dim': 20, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4506485862172073, 'source_is_minimal': True, 'source_label': '1449.1.bq.b.118.2', 'source_level': 1449, 'target_conrey_index': 118, 'target_dim': 20, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4506485862172073, 'target_is_minimal': True, 'target_label': '1449.1.bq.b.118.1', 'target_level': 1449, 'twist_class_label': '1449.1.bq.b.118.1', 'twist_class_level': 1449, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 1}
  • id: 39419412
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 118, 'source_dim': 20, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4506485862172073, 'source_is_minimal': True, 'source_label': '1449.1.bq.b.118.2', 'source_level': 1449, 'target_conrey_index': 118, 'target_dim': 20, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4506485862172073, 'target_is_minimal': True, 'target_label': '1449.1.bq.b.118.2', 'target_level': 1449, 'twist_class_label': '1449.1.bq.b.118.1', 'twist_class_level': 1449, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 1}
  • id: 39419413
    {'conductor': 21, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 118, 'source_dim': 20, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4506485862172073, 'source_is_minimal': True, 'source_label': '1449.1.bq.b.118.2', 'source_level': 1449, 'target_conrey_index': 118, 'target_dim': 20, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4506485862172073, 'target_is_minimal': True, 'target_label': '1449.1.bq.b.118.1', 'target_level': 1449, 'twist_class_label': '1449.1.bq.b.118.1', 'twist_class_level': 1449, 'twisting_char_label': '21.20', 'twisting_conrey_index': 20, 'weight': 1}
  • id: 39419414
    {'conductor': 23, 'degree': 10, 'order': 11, 'parity': 1, 'source_conrey_index': 118, 'source_dim': 20, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4506485862172073, 'source_is_minimal': True, 'source_label': '1449.1.bq.b.118.2', 'source_level': 1449, 'target_conrey_index': 307, 'target_dim': 20, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4506485862172073, 'target_is_minimal': True, 'target_label': '1449.1.bq.b.307.2', 'target_level': 1449, 'twist_class_label': '1449.1.bq.b.118.1', 'twist_class_level': 1449, 'twisting_char_label': '23.8', 'twisting_conrey_index': 8, 'weight': 1}
  • id: 39419415
    {'conductor': 69, 'degree': 10, 'order': 22, 'parity': -1, 'source_conrey_index': 118, 'source_dim': 20, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4506485862172073, 'source_is_minimal': True, 'source_label': '1449.1.bq.b.118.2', 'source_level': 1449, 'target_conrey_index': 307, 'target_dim': 20, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4506485862172073, 'target_is_minimal': True, 'target_label': '1449.1.bq.b.307.1', 'target_level': 1449, 'twist_class_label': '1449.1.bq.b.118.1', 'twist_class_level': 1449, 'twisting_char_label': '69.8', 'twisting_conrey_index': 8, 'weight': 1}
  • id: 39419416
    {'conductor': 161, 'degree': 10, 'order': 22, 'parity': -1, 'source_conrey_index': 118, 'source_dim': 20, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4506485862172073, 'source_is_minimal': True, 'source_label': '1449.1.bq.b.118.2', 'source_level': 1449, 'target_conrey_index': 307, 'target_dim': 20, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4506485862172073, 'target_is_minimal': True, 'target_label': '1449.1.bq.b.307.2', 'target_level': 1449, 'twist_class_label': '1449.1.bq.b.118.1', 'twist_class_level': 1449, 'twisting_char_label': '161.146', 'twisting_conrey_index': 146, 'weight': 1}
  • id: 39419417
    {'conductor': 483, 'degree': 10, 'order': 22, 'parity': 1, 'source_conrey_index': 118, 'source_dim': 20, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4506485862172073, 'source_is_minimal': True, 'source_label': '1449.1.bq.b.118.2', 'source_level': 1449, 'target_conrey_index': 307, 'target_dim': 20, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4506485862172073, 'target_is_minimal': True, 'target_label': '1449.1.bq.b.307.1', 'target_level': 1449, 'twist_class_label': '1449.1.bq.b.118.1', 'twist_class_level': 1449, 'twisting_char_label': '483.146', 'twisting_conrey_index': 146, 'weight': 1}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1957100
    {'charpoly_factorization': [[[121, 0, 605, 0, 484, 0, -968, 0, 484, 0, 99, 0, 165, 0, 0, 0, 22, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 4506485862172073, 'p': 2}
  • id: 1957101
    {'charpoly_factorization': [[[0, 1], 20]], 'hecke_orbit_code': 4506485862172073, 'p': 3}
  • id: 1957102
    {'charpoly_factorization': [[[0, 1], 20]], 'hecke_orbit_code': 4506485862172073, 'p': 5}
  • id: 1957103
    {'charpoly_factorization': [[[1, -1, 1, -1, 1, -1, 1, -1, 1, -1, 1], 2]], 'hecke_orbit_code': 4506485862172073, 'p': 7}
  • id: 1957104
    {'charpoly_factorization': [[[121, 0, 484, 0, 1210, 0, 121, 0, 605, 0, -264, 0, 0, 0, 55, 0, 0, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 4506485862172073, 'p': 11}
  • id: 1957105
    {'charpoly_factorization': [[[0, 1], 20]], 'hecke_orbit_code': 4506485862172073, 'p': 13}
  • id: 1957106
    {'charpoly_factorization': [[[0, 1], 20]], 'hecke_orbit_code': 4506485862172073, 'p': 17}
  • id: 1957107
    {'charpoly_factorization': [[[0, 1], 20]], 'hecke_orbit_code': 4506485862172073, 'p': 19}
  • id: 1957108
    {'charpoly_factorization': [[[1, 0, -1, 0, 1, 0, -1, 0, 1, 0, -1, 0, 1, 0, -1, 0, 1, 0, -1, 0, 1], 1]], 'hecke_orbit_code': 4506485862172073, 'p': 23}
  • id: 1957109
    {'charpoly_factorization': [[[121, 0, -121, 0, 847, 0, 1573, 0, 1452, 0, 462, 0, 22, 0, 0, 0, 0, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 4506485862172073, 'p': 29}
  • id: 1957110
    {'charpoly_factorization': [[[0, 1], 20]], 'hecke_orbit_code': 4506485862172073, 'p': 31}
  • id: 1957111
    {'charpoly_factorization': [[[1, -6, 14, -7, 9, 12, -6, 3, 4, -2, 1], 2]], 'hecke_orbit_code': 4506485862172073, 'p': 37}
  • id: 1957112
    {'charpoly_factorization': [[[0, 1], 20]], 'hecke_orbit_code': 4506485862172073, 'p': 41}
  • id: 1957113
    {'charpoly_factorization': [[[1, 5, 14, 4, -2, 1, 5, -8, 4, -2, 1], 2]], 'hecke_orbit_code': 4506485862172073, 'p': 43}
  • id: 1957114
    {'charpoly_factorization': [[[0, 1], 20]], 'hecke_orbit_code': 4506485862172073, 'p': 47}
  • id: 1957115
    {'charpoly_factorization': [[[121, 0, 484, 0, 1210, 0, 121, 0, 605, 0, -264, 0, 0, 0, 55, 0, 0, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 4506485862172073, 'p': 53}
  • id: 1957116
    {'charpoly_factorization': [[[0, 1], 20]], 'hecke_orbit_code': 4506485862172073, 'p': 59}
  • id: 1957117
    {'charpoly_factorization': [[[0, 1], 20]], 'hecke_orbit_code': 4506485862172073, 'p': 61}
  • id: 1957118
    {'charpoly_factorization': [[[1, -5, 14, -4, -2, -1, 5, 8, 4, 2, 1], 2]], 'hecke_orbit_code': 4506485862172073, 'p': 67}
  • id: 1957119
    {'charpoly_factorization': [[[121, 0, 484, 0, 1210, 0, 121, 0, 605, 0, -264, 0, 0, 0, 55, 0, 0, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 4506485862172073, 'p': 71}
  • id: 1957120
    {'charpoly_factorization': [[[0, 1], 20]], 'hecke_orbit_code': 4506485862172073, 'p': 73}
  • id: 1957121
    {'charpoly_factorization': [[[1, 6, 14, 7, 9, -12, -6, -3, 4, 2, 1], 2]], 'hecke_orbit_code': 4506485862172073, 'p': 79}
  • id: 1957122
    {'charpoly_factorization': [[[0, 1], 20]], 'hecke_orbit_code': 4506485862172073, 'p': 83}
  • id: 1957123
    {'charpoly_factorization': [[[0, 1], 20]], 'hecke_orbit_code': 4506485862172073, 'p': 89}
  • id: 1957124
    {'charpoly_factorization': [[[0, 1], 20]], 'hecke_orbit_code': 4506485862172073, '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': 43, 'hecke_orbit': 2, 'label': '1449.1.bq.b', 'level': 1449, 'portrait': 'data:image/png;base64,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', 'weight': 1}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 25502503
    {'hecke_orbit_code': 4506485862172073, 'n': 1, 'trace_an': 20}
  • id: 25502504
    {'hecke_orbit_code': 4506485862172073, 'n': 2, 'trace_an': 0}
  • id: 25502505
    {'hecke_orbit_code': 4506485862172073, 'n': 3, 'trace_an': 0}
  • id: 25502506
    {'hecke_orbit_code': 4506485862172073, 'n': 4, 'trace_an': 2}
  • id: 25502507
    {'hecke_orbit_code': 4506485862172073, 'n': 5, 'trace_an': 0}
  • id: 25502508
    {'hecke_orbit_code': 4506485862172073, 'n': 6, 'trace_an': 0}
  • id: 25502509
    {'hecke_orbit_code': 4506485862172073, 'n': 7, 'trace_an': 2}
  • id: 25502510
    {'hecke_orbit_code': 4506485862172073, 'n': 8, 'trace_an': 0}
  • id: 25502511
    {'hecke_orbit_code': 4506485862172073, 'n': 9, 'trace_an': 0}
  • id: 25502512
    {'hecke_orbit_code': 4506485862172073, 'n': 10, 'trace_an': 0}
  • id: 25502513
    {'hecke_orbit_code': 4506485862172073, 'n': 11, 'trace_an': 0}
  • id: 25502514
    {'hecke_orbit_code': 4506485862172073, 'n': 12, 'trace_an': 0}
  • id: 25502515
    {'hecke_orbit_code': 4506485862172073, 'n': 13, 'trace_an': 0}
  • id: 25502516
    {'hecke_orbit_code': 4506485862172073, 'n': 14, 'trace_an': 0}
  • id: 25502517
    {'hecke_orbit_code': 4506485862172073, 'n': 15, 'trace_an': 0}
  • id: 25502518
    {'hecke_orbit_code': 4506485862172073, 'n': 16, 'trace_an': -24}
  • id: 25502519
    {'hecke_orbit_code': 4506485862172073, 'n': 17, 'trace_an': 0}
  • id: 25502520
    {'hecke_orbit_code': 4506485862172073, 'n': 18, 'trace_an': 0}
  • id: 25502521
    {'hecke_orbit_code': 4506485862172073, 'n': 19, 'trace_an': 0}
  • id: 25502522
    {'hecke_orbit_code': 4506485862172073, 'n': 20, 'trace_an': 0}
  • id: 25502523
    {'hecke_orbit_code': 4506485862172073, 'n': 21, 'trace_an': 0}
  • id: 25502524
    {'hecke_orbit_code': 4506485862172073, 'n': 22, 'trace_an': 0}
  • id: 25502525
    {'hecke_orbit_code': 4506485862172073, 'n': 23, 'trace_an': 0}
  • id: 25502526
    {'hecke_orbit_code': 4506485862172073, 'n': 24, 'trace_an': 0}
  • id: 25502527
    {'hecke_orbit_code': 4506485862172073, 'n': 25, 'trace_an': -2}
  • id: 25502528
    {'hecke_orbit_code': 4506485862172073, 'n': 26, 'trace_an': 0}
  • id: 25502529
    {'hecke_orbit_code': 4506485862172073, 'n': 27, 'trace_an': 0}
  • id: 25502530
    {'hecke_orbit_code': 4506485862172073, 'n': 28, 'trace_an': -2}
  • id: 25502531
    {'hecke_orbit_code': 4506485862172073, 'n': 29, 'trace_an': 0}
  • id: 25502532
    {'hecke_orbit_code': 4506485862172073, 'n': 30, 'trace_an': 0}
  • id: 25502533
    {'hecke_orbit_code': 4506485862172073, 'n': 31, 'trace_an': 0}
  • id: 25502534
    {'hecke_orbit_code': 4506485862172073, 'n': 32, 'trace_an': 0}
  • id: 25502535
    {'hecke_orbit_code': 4506485862172073, 'n': 33, 'trace_an': 0}
  • id: 25502536
    {'hecke_orbit_code': 4506485862172073, 'n': 34, 'trace_an': 0}
  • id: 25502537
    {'hecke_orbit_code': 4506485862172073, 'n': 35, 'trace_an': 0}
  • id: 25502538
    {'hecke_orbit_code': 4506485862172073, 'n': 36, 'trace_an': 0}
  • id: 25502539
    {'hecke_orbit_code': 4506485862172073, 'n': 37, 'trace_an': 4}
  • id: 25502540
    {'hecke_orbit_code': 4506485862172073, 'n': 38, 'trace_an': 0}
  • id: 25502541
    {'hecke_orbit_code': 4506485862172073, 'n': 39, 'trace_an': 0}
  • id: 25502542
    {'hecke_orbit_code': 4506485862172073, 'n': 40, 'trace_an': 0}
  • id: 25502543
    {'hecke_orbit_code': 4506485862172073, 'n': 41, 'trace_an': 0}
  • id: 25502544
    {'hecke_orbit_code': 4506485862172073, 'n': 42, 'trace_an': 0}
  • id: 25502545
    {'hecke_orbit_code': 4506485862172073, 'n': 43, 'trace_an': 4}
  • id: 25502546
    {'hecke_orbit_code': 4506485862172073, 'n': 44, 'trace_an': 0}
  • id: 25502547
    {'hecke_orbit_code': 4506485862172073, 'n': 45, 'trace_an': 0}
  • id: 25502548
    {'hecke_orbit_code': 4506485862172073, 'n': 46, 'trace_an': 0}
  • id: 25502549
    {'hecke_orbit_code': 4506485862172073, 'n': 47, 'trace_an': 0}
  • id: 25502550
    {'hecke_orbit_code': 4506485862172073, 'n': 48, 'trace_an': 0}
  • id: 25502551
    {'hecke_orbit_code': 4506485862172073, 'n': 49, 'trace_an': -2}
  • id: 25502552
    {'hecke_orbit_code': 4506485862172073, 'n': 50, 'trace_an': 0}
  • id: 25502553
    {'hecke_orbit_code': 4506485862172073, 'n': 51, 'trace_an': 0}
  • id: 25502554
    {'hecke_orbit_code': 4506485862172073, 'n': 52, 'trace_an': 0}
  • id: 25502555
    {'hecke_orbit_code': 4506485862172073, 'n': 53, 'trace_an': 0}
  • id: 25502556
    {'hecke_orbit_code': 4506485862172073, 'n': 54, 'trace_an': 0}
  • id: 25502557
    {'hecke_orbit_code': 4506485862172073, 'n': 55, 'trace_an': 0}
  • id: 25502558
    {'hecke_orbit_code': 4506485862172073, 'n': 56, 'trace_an': 0}
  • id: 25502559
    {'hecke_orbit_code': 4506485862172073, 'n': 57, 'trace_an': 0}
  • id: 25502560
    {'hecke_orbit_code': 4506485862172073, 'n': 58, 'trace_an': 22}
  • id: 25502561
    {'hecke_orbit_code': 4506485862172073, 'n': 59, 'trace_an': 0}
  • id: 25502562
    {'hecke_orbit_code': 4506485862172073, 'n': 60, 'trace_an': 0}
  • id: 25502563
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  • id: 25502564
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  • id: 25502565
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  • id: 25502566
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  • id: 25502567
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  • id: 25502568
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  • id: 25502569
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  • id: 25502570
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  • id: 25502571
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  • id: 25502572
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  • id: 25502573
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  • id: 25502574
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  • id: 25502575
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  • id: 25502576
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  • id: 25502577
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  • id: 25502578
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  • id: 25502579
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  • id: 25502580
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  • id: 25502581
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  • id: 25502582
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  • id: 25502583
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  • id: 25502584
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  • id: 25502585
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  • id: 25502586
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  • id: 25502587
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  • id: 25502588
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  • id: 25502589
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  • id: 25502590
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  • id: 25502591
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  • id: 25502592
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  • id: 25502593
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  • id: 25502594
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  • id: 25502595
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  • id: 25502596
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  • id: 25502597
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  • id: 25502598
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  • id: 25502599
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  • id: 25502600
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  • id: 25502601
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  • id: 25502602
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  • id: 25502603
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  • id: 25502604
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  • id: 25502605
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  • id: 25502606
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  • id: 25502607
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  • id: 25502608
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  • id: 25502609
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  • id: 25502610
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  • id: 25502611
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  • id: 25502612
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  • id: 25502613
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  • id: 25502614
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  • id: 25502615
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  • id: 25502616
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  • id: 25502617
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  • id: 25502618
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  • id: 25502619
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  • id: 25502620
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  • id: 25502621
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  • id: 25502622
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  • id: 25502623
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  • id: 25502624
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  • id: 25502625
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  • id: 25502626
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  • id: 25502627
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  • id: 25502628
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  • id: 25502629
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  • id: 25502630
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  • id: 25502631
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  • id: 25502632
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  • id: 25502633
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  • id: 25502634
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  • id: 25502635
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  • id: 25502636
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  • id: 25502637
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  • id: 25502638
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  • id: 25502639
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  • id: 25502640
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  • id: 25502641
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  • id: 25502642
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  • id: 25502643
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  • id: 25502644
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  • id: 25502645
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  • id: 25502646
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  • id: 25502647
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  • id: 25502648
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  • id: 25502649
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  • id: 25502650
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  • id: 25502651
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  • id: 25502652
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  • id: 25502653
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  • id: 25502654
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  • id: 25502655
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  • id: 25502656
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  • id: 25502657
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  • id: 25502658
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  • id: 25502659
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  • id: 25502660
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  • id: 25502661
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  • id: 25502662
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  • id: 25502663
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  • id: 25502664
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  • id: 25502665
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  • id: 25502666
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  • id: 25502667
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  • id: 25502668
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  • id: 25502669
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  • id: 25502670
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  • id: 25502671
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  • id: 25502672
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  • id: 25502673
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  • id: 25502674
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  • id: 25502675
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  • id: 25502676
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  • id: 25502677
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  • id: 25502678
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  • id: 25502679
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  • id: 25502680
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  • id: 25502681
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  • id: 25502682
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  • id: 25502683
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  • id: 25502684
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  • id: 25502685
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  • id: 25502686
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  • id: 25502687
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  • id: 25502688
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  • id: 25502689
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  • id: 25502690
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  • id: 25502691
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  • id: 25502692
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  • id: 25502693
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  • id: 25502694
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  • id: 25502695
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  • id: 25502696
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  • id: 25502697
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  • id: 25502698
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  • id: 25502699
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  • id: 25502700
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  • id: 25502701
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  • id: 25502702
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  • id: 25502703
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  • id: 25502704
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  • id: 25502705
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  • id: 25502706
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  • id: 25502707
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  • id: 25502708
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  • id: 25502709
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  • id: 25502710
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  • id: 25502711
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  • id: 25502712
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  • id: 25502713
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  • id: 25502714
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  • id: 25502715
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  • id: 25502716
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  • id: 25502717
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  • id: 25502718
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  • id: 25502719
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  • id: 25502720
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  • id: 25502721
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  • id: 25502722
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  • id: 25502723
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  • id: 25502724
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  • id: 25502725
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  • id: 25502726
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  • id: 25502727
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  • id: 25502728
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  • id: 25502729
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  • id: 25502730
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  • id: 25502731
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  • id: 25502732
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  • id: 25502733
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  • id: 25502734
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  • id: 25502735
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  • id: 25502736
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  • id: 25502737
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  • id: 25502738
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  • id: 25502739
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  • id: 25502740
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  • id: 25502741
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  • id: 25502742
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  • id: 25502743
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  • id: 25502744
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  • id: 25502745
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  • id: 25502746
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  • id: 25502747
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  • id: 25502748
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  • id: 25502749
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  • id: 25502750
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  • id: 25502751
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  • id: 25502752
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  • id: 25502753
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  • id: 25502754
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  • id: 25502755
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  • id: 25502756
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  • id: 25502757
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  • id: 25502758
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  • id: 25502759
    {'hecke_orbit_code': 4506485862172073, 'n': 991, 'trace_an': 4}
  • id: 25502760
    {'hecke_orbit_code': 4506485862172073, 'n': 997, 'trace_an': 0}