Newform data - 1656.2.a.o

Formats: - HTML - YAML - JSON - 2026-08-12T11:22:56.741788

• 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': 6624, 'analytic_conductor': 13.223226574724032, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [3, 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': [1656, 1, [415, 829, 1289, 649], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 4, 'field_disc': 44688, 'field_disc_factorization': [[2, 4], [3, 1], [7, 2], [19, 1]], 'field_poly': [2, 6, -5, -2, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[5, [-6, 2, 1]], [7, [72, 48, -26, -2, 1]], [11, [-48, -72, -22, 2, 1]], [13, [32, 48, -20, -4, 1]]], 'hecke_orbit': 15, 'hecke_orbit_code': 63050394816743032, 'hecke_ring_generator_nbound': 11, 'hecke_ring_index': 2, 'hecke_ring_index_factorization': [[2, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '1656.2.a.o', 'level': 1656, '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, 3, 23], 'level_radical': 138, 'minimal_twist': '1656.2.a.o', 'nf_label': '4.4.44688.2', 'prim_orbit_index': 1, 'qexp_display': 'q+(-1-\\beta _{2})q^{5}-\\beta _{1}q^{7}+(-\\beta _{2}+\\beta _{3})q^{11}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1656.2.a', 'trace_display': [0, 0, -4, 2], 'trace_hash': 2058554236584697565, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.070', 'prec': 7}, {'__RealLiteral__': 0, 'data': '3.802', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.599', 'prec': 10}, {'__RealLiteral__': 0, 'data': '40.140', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.320', 'prec': 14}, {'__RealLiteral__': 0, 'data': '639.270', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.010', 'prec': 7}, 'traces': [4, 0, 0, 0, -4, 0, 2, 0, 0, 0, -2, 0, 4, 0, 0, 0, -2, 0, 8, 0, 0, 0, 4, 0, 12, 0, 0, 0, -12, 0, 12, 0, 0, 0, 12, 0, 14, 0, 0, 0, -4, 0, 4, 0, 0, 0, 12, 0, 28, 0, 0, 0, -8, 0, 16, 0, 0, 0, 16, 0, 6, 0, 0, 0, -4, 0, 8, 0, 0, 0, 12, 0, 16, 0, 0, 0, -12, 0, 10, 0, 0, 0, 14, 0, 16, 0, 0, 0, -14, 0, 32, 0, 0, 0, 20, 0, 4, 0, 0, 0, -32, 0, 22, 0, 0, 0, 14, 0, 6, 0, 0, 0, 18, 0, -4, 0, 0, 0, 24, 0, 4, 0, 0, 0, -48, 0, 20, 0, 0, 0, 20, 0, -12, 0, 0, 0, -14, 0, 16, 0, 0, 0, 20, 0, 12, 0, 0, 0, -20, 0, -8, 0, 0, 0, -12, 0, -14, 0, 0, 0, 2, 0, 32, 0, 0, 0, 4, 0, 4, 0, 0, 0, -60, 0, -22, 0, 0, 0, -20, 0, 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0, 0, 128, 0, -90, 0, 0, 0, -44, 0, -234, 0, 0, 0, 46, 0, -112, 0, 0, 0, 296, 0, 24, 0, 0, 0, 196, 0, -136, 0, 0, 0, -124, 0, 80, 0, 0, 0, 8, 0, 104, 0, 0, 0, -168, 0, 48, 0, 0, 0, 252, 0, 98, 0, 0, 0, 88, 0, -168, 0, 0, 0, 50, 0, -4, 0, 0, 0, 4, 0, 16, 0, 0, 0, 60, 0, -152, 0, 0, 0, -184, 0, 134, 0, 0, 0, -216, 0, 148, 0, 0, 0, 24, 0, -4, 0, 0, 0, 48, 0, 128, 0, 0, 0, -36, 0, 96, 0, 0, 0, 194, 0, 52, 0, 0, 0, 76, 0, -136, 0, 0, 0, 180, 0, 136, 0, 0, 0, -62, 0, 48, 0, 0, 0, 72, 0, 12, 0, 0, 0, -92, 0, -96, 0, 0, 0, -36, 0, -112, 0, 0, 0, -4, 0, 180, 0, 0, 0, -102, 0, -48, 0, 0, 0, -36, 0, 104, 0, 0, 0, -24, 0, 172, 0, 0, 0, 88, 0, -32, 0, 0, 0, 6, 0, -120, 0, 0, 0, 132, 0, -24, 0, 0, 0, 168, 0, 152, 0, 0, 0, -164, 0, -130, 0, 0, 0, 20, 0, 128, 0, 0, 0, 112, 0, 88, 0, 0, 0, 44, 0, -48, 0, 0, 0, -72, 0, -80, 0, 0, 0, -104, 0, -176, 0, 0, 0, 68, 0, 152, 0, 0, 0, 8, 0, -180, 0, 0, 0, 142, 0, -212, 0, 0, 0, -56, 0, -8, 0, 0, 0, -96, 0, -12, 0, 0, 0, 24, 0, -12, 0, 0, 0, -80, 0, -74, 0, 0, 0, 136, 0, 224, 0, 0, 0, -188, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
  {'an': [[1, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [-1, 0, -1, 0], [0, 0, 0, 0], [0, -1, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, -1, 1], [0, 0, 0, 0], [1, -1, 0, 1], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [-1, 0, 0, -1], [0, 0, 0, 0], [2, 1, -1, -1], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [1, 0, 0, 0], [0, 0, 0, 0], [3, 0, 2, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [-3, -1, 0, 1], [0, 0, 0, 0], [3, 1, 0, -1], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [3, 3, 0, -3], [0, 0, 0, 0], [4, 2, -1, -1], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [-1, -1, 2, 1], [0, 0, 0, 0], [2, -1, -1, 3], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [2, -2, 0, 0], [0, 0, 0, 0], [6, 1, 2, -3], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [-3, -2, 1, 0], [0, 0, 0, 0], [5, 1, 0, 1], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [5, 1, 2, 1], [0, 0, 0, 0], [2, 0, -1, 1], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 4, -2, -2], [0, 0, 0, 0], [2, -1, -3, 1], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [3, -1, 2, 1], [0, 0, 0, 0], [5, -1, 0, 3], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [-2, 2, 2, 0], [0, 0, 0, 0], [2, 1, 0, -2], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [4, 0, -1, 1], [0, 0, 0, 0], [3, -1, 2, -1], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [-3, -2, -2, 3], [0, 0, 0, 0], [8, 0, 4, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [4, -4, 0, 2], [0, 0, 0, 0], [0, -2, 2, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0]], 'ap': [[0, 0, 0, 0], [0, 0, 0, 0], [-1, 0, -1, 0], [0, -1, 0, 0], [0, 0, -1, 1], [1, -1, 0, 1], [-1, 0, 0, -1], [2, 1, -1, -1], [1, 0, 0, 0], [-3, -1, 0, 1], [3, 1, 0, -1], [4, 2, -1, -1], [-1, -1, 2, 1], [2, -1, -1, 3], [2, -2, 0, 0], [-3, -2, 1, 0], [5, 1, 2, 1], [2, 0, -1, 1], [2, -1, -3, 1], [3, -1, 2, 1], [5, -1, 0, 3], [2, 1, 0, -2], [4, 0, -1, 1], [-3, -2, -2, 3], [0, -2, 2, 0], [-7, 1, 0, 1], [4, -1, 2, -2], [2, -2, 3, -1], [2, 0, -5, 1], [5, 2, 2, -1], [4, -2, 4, 0], [6, 2, -2, 0], [-5, 2, 0, -5], [4, 0, 0, 0], [-7, 0, 1, -4], [-1, 3, -4, -1], [-4, -2, -3, 1], [6, 0, 6, -4], [-1, -1, 2, -3], [-13, 1, -4, 3], [-3, 1, -4, 3], [0, 2, -3, 1], [10, -2, -2, 0], [3, -3, 2, 5], [-3, 3, -2, -1], [4, 1, 0, 4], [-2, 4, -2, 0], [-1, 3, 4, -1], [6, -2, 7, -1], [2, 0, 5, -1], [8, -4, 0, 0], [0, 4, 0, 0], [-6, 4, 2, -2], [6, 2, -5, -1], [17, 1, 2, 3], [-6, 2, 0, -2], [3, 1, 6, -3], [0, 2, 0, 0], [-14, 0, 2, -2], [5, 0, 6, -1], [-2, -5, 1, 1], [-11, -4, 5, 0], [-6, -4, 2, 4], [-3, -3, 10, 1], [-4, 6, -2, 0], [-13, 5, 4, -5], [-10, 0, 6, 0], [-8, -6, 4, -2], [-11, 1, -4, -5], [-5, -3, 2, -3], [6, 4, 0, -2], [-8, 0, 2, 2], [-10, 1, 4, -2], [-4, -2, 1, 5], [6, -5, 1, 5], [-6, -2, 0, 2], [7, -2, 1, 6], [0, 2, -4, -2], [-1, 0, 0, -1], [-5, 1, -6, 5], [-4, -4, 3, 5], [-12, 2, 1, 1], [-10, 2, -2, -4], [6, 4, -6, -6], [-4, -4, 4, 0], [-10, -2, -4, 2], [9, 5, -6, -5], [-28, -2, 2, 0], [-1, 5, 6, -7], [-4, 8, 0, -4], [16, -4, -7, 3], [12, 4, 4, -4], [0, -4, 8, 0], [-13, -1, 0, 1], [8, 2, -2, 6], [-4, 4, 6, -6], [13, -1, -8, 1], [3, 4, -8, -1], [14, 3, 3, -1], [-3, -5, 2, 7], [-16, 2, -10, 2], [-3, 4, -1, -2], [-8, 4, -3, -5], [-3, -4, 0, 1], [2, 1, 3, -1], [8, 6, -2, -2], [-8, -4, 2, 6], [-5, -1, 10, -3], [-28, 0, -4, 0], [16, 6, -10, -2], [-3, 1, 4, -3], [20, 2, 1, -3], [19, -4, -6, 5], [14, -3, 7, -1], [4, -3, -10, 6], [-7, -2, -4, -3], [26, -1, -1, 3], [15, 7, -2, -5], [-1, 3, -4, 3], [8, 0, 13, -1], [12, 2, 5, -7], [6, 4, -2, 0], [-27, 0, -3, 4], [4, 0, 2, -6], [-2, 0, 2, 4], [-17, -4, 1, -2], [14, 0, -3, 3], [-5, 3, 2, -5], [-14, -1, -4, -6], [0, -2, 7, -9], [14, 6, 0, 6], [12, 0, 4, 8], [-8, -5, 10, -2], [-8, 6, -1, -1], [8, -6, 0, 0], [24, -2, -6, 0], [-5, 6, 5, -6], [-2, -1, -7, 5], [-7, 6, 3, 2], [40, 2, 0, 0], [8, -10, -2, 10], [17, 1, 4, -3], [21, -1, -4, 5], [-30, 2, 3, -5], [23, 5, -2, 5], [-14, 6, 8, -10], [8, 6, -4, 2], [-2, 2, 4, 2], [-2, -6, 0, 6], [9, 1, 2, 5], [8, -10, 2, 4], [35, 2, -2, 5], [-12, -2, -2, -2], [16, -4, 8, -6], [-10, -1, 9, 1], [6, -6, 6, -4], [12, 5, -8, -4], [-11, -7, 6, -5], [2, 4, 4, -4], [21, -2, 1, 4], [29, 9, -12, -5], [-25, 2, 4, -1], [5, 3, 4, -3], [6, 6, -1, -9], [-5, -4, -12, 11], [-20, -8, 2, 6], [11, -3, -8, 7], [9, 3, 2, 3], [2, 4, 10, 2], [-9, 3, 4, -13], [14, 10, -5, -9], [16, -2, -10, 8], [-12, -12, 4, 0], [6, -4, 12, -8], [12, -6, -8, 12], [9, 10, -10, -5], [-8, -4, -4, -4], [21, 9, -6, 7], [22, -1, -2, 0], [-22, 0, -1, 1], [-35, -1, 8, 1], [-4, 8, 3, 1], [-4, -10, 10, -4], [18, -4, -4, 14], [-18, 6, -6, 0], [5, -6, -5, 14], [-18, 4, 4, -8], [-6, -1, 3, 7], [-7, -1, -8, -5], [26, 6, -4, 0], [29, 3, 4, 3], [34, -10, -2, 4], [22, 7, -3, -7], [-15, -7, 2, -5], [0, -8, -9, 5], [1, 4, 10, -5], [-4, -6, 4, -6], [-24, 6, -1, -9], [9, -6, 6, -5], [16, 0, -12, 4], [-13, -6, 13, -2], [16, 6, -12, 4], [-26, -4, -2, 6], [-4, 2, -4, -6], [-32, 4, 7, -7], [-19, 3, -4, -11], [-8, 1, 4, 0], [-23, -11, 6, 1], [-9, 11, 6, -3], [-30, -4, 2, -12], [-25, -3, -8, 1], [33, 1, -10, -1], [-16, 1, -2, 6], [24, 4, 5, -1], [-15, -3, 14, -5], [4, -2, 14, -8], [-23, 1, -8, -3], [0, -6, 0, 0], [-38, 6, 0, -6], [3, -13, 6, 1], [-27, 3, -8, 5], [-8, 5, 14, -10], [16, -2, 4, -4], [8, -7, -2, 2], [14, -6, 0, 14], [9, 3, -8, -7], [-5, 8, -6, 5], [16, -4, -16, 6], [-10, 1, 18, -4], [0, 0, -12, -4], [-3, -5, -6, 7], [-6, 7, 9, -11], [-10, 5, -6, -4], [-13, 5, 6, 1], [42, 1, -3, 5], [0, 4, -22, 2], [-4, 6, 2, 4], [19, 12, -11, -6], [20, -4, 6, 6], [12, 8, -12, -2], [38, -2, 3, 3], [-6, -12, 6, 8], [-9, -3, 0, -5], [17, 11, -16, -7], [-32, -4, 4, 4], [-28, 4, -8, -4], [-32, 10, 4, -12], [10, -2, -19, 1], [10, 7, -1, -9], [42, 6, -12, -2], [-18, 4, 13, -5], [-25, -8, 10, -3], [-22, 2, -4, 6], [-10, 0, -8, -4], [17, -3, -6, 11], [10, -6, 0, 10], [-24, -6, 1, -11], [2, 1, -11, 13], [-7, -1, 6, -5], [-31, -5, -2, -1], [-2, -1, -10, 8], [-2, 6, -1, -17], [-6, 4, 14, -10], [48, -6, 5, -3], [-26, -2, 4, 2], [30, -11, -7, 13], [31, 8, -11, -2], [-29, -4, 2, 9], [34, 7, -3, 1], [1, 11, -18, 3], [-16, 6, -2, 0], [10, -1, -7, -7], [4, -2, 4, 2], [-12, -7, 6, 10], [10, -8, 8, -8], [4, -4, 8, -4], [7, -5, 18, -5], [6, -12, -8, 12], [-30, -16, 16, 8], [26, -6, 5, -3], [25, 1, 10, 5], [2, 13, 6, 0], [36, -4, 10, -2], [4, 2, 19, 3], [-24, 2, -14, 2], [23, -1, 6, 3], [4, -6, -2, -4], [-19, -12, 7, 14], [0, -4, -12, -4], [37, 3, -2, 3], [9, 4, 13, -8], [44, -4, -7, 11], [21, -1, -6, 7], [-16, 0, 1, -1], [5, -1, 26, -1], [9, -2, -3, 12], [-6, 1, 8, 2], [-25, 3, -4, 3], [-4, -4, 12, -8], [-36, -4, -8, 0], [-4, 2, 2, -4], [21, -4, 11, 2], [18, 7, -8, -10], [23, 3, -14, -1], [-26, 1, -3, -11], [-21, 1, -2, 5], [36, 8, 0, 4], [18, 8, 3, 9], [-56, 0, -12, 0], [23, -7, 8, -1], [41, -7, -6, 5], [-9, -2, -1, 0], [-47, -6, -4, 1], [46, 2, -4, -2], [-54, 2, -2, -12], [36, -6, 4, 14], [12, 0, -20, 0], [-18, 2, 12, -4], [14, 12, -8, -12], [37, 5, -2, -5], [26, -9, 7, 3], [-46, -4, -2, -6], [-25, -9, 10, 1], [-1, -5, 8, -13], [-31, 8, 0, -3], [-28, 2, -6, -4], [26, 7, 1, 1], [-4, -8, -4, 4], [4, 0, 16, 0], [-29, 0, -11, 2], [0, 10, -6, -8], [5, 1, -16, -3], [44, 0, 8, 4], [-14, 2, -2, -4], [54, 7, -7, 1], [-9, 11, 0, 1], [-8, 2, -1, 11], [-15, -8, 2, 15], [31, -11, -14, 13], [2, 9, -6, -12], [35, 5, -8, 3], [-47, -2, -8, -7], [11, 15, -14, 5], [22, 9, -4, -14], [3, 6, -3, -6], [26, 2, 8, 10], [9, -1, 8, -15], [-10, -4, 2, -8], [6, 14, -18, -4], [-19, -16, 5, 8], [8, 16, -8, 0], [18, -12, -14, 4], [21, -1, -6, -5], [-14, -7, -12, 18], [-28, -10, 7, -9], [18, 0, -4, -10], [14, -10, 0, 6], [2, 10, -11, 5], [12, 2, 12, -8], [14, 18, -4, -16], [10, 8, 9, -9], [-31, 11, 2, -5], [-7, 1, -2, 3], [-38, 6, 9, -11], [-2, -2, 20, -10], [-7, 3, -4, 3], [1, 5, -22, 3], [-16, -17, 12, 16], [6, 4, 6, -14], [-13, -1, -8, 1], [-28, 2, 2, -2], [23, -1, 2, 13], [45, 14, -5, 2], [42, 3, -6, 8], [-8, 2, 4, -2], [30, 2, 2, -12], [14, 6, -18, -8], [-20, -10, 0, -2], [-31, -6, -4, 9], [-1, 5, -18, 9], [35, -4, 5, 10], [-21, 2, 12, -1], [-40, -10, 8, 8], [13, 1, 22, 3], [-6, 3, -1, -13], [-44, -8, 0, 12], [4, -6, 4, 16], [-2, -12, 22, -10], [30, 1, 5, -7], [6, 6, -22, 4], [-12, -10, -4, -2], [11, 21, -18, 5], [-33, -5, -2, 11], [40, 10, -6, -10], [-2, 14, 10, -28], [22, 4, 14, 6], [-14, 5, -26, 12], [3, -12, 20, -5], [-34, 5, -5, -17], [49, 1, -2, -1], [18, 0, -4, -4], [-5, -11, -6, -3], [28, -1, 0, 8], [7, 14, 4, -25], [15, -13, 6, 13], [-39, 9, 8, -11], [28, 2, -1, -13], [-53, 5, 10, -3], [34, -5, 15, -1], [-7, -3, -8, 7], [-32, -2, -14, 6], [47, -1, -2, 5], [-6, 14, -7, 5], [6, 11, -17, -5], [-22, 4, -8, 0], [-7, 3, 4, 1], [-20, -8, 8, -14], [43, -7, -16, 7], [5, 10, -20, -3], [32, 8, 2, -10], [39, 0, 17, -6], [-30, 4, -1, 1], [20, -4, 24, -12], [-21, 15, 18, -21], [40, -2, 8, 6], [13, 13, -20, 9], [32, -4, 15, -3], [-12, 0, 0, 4], [8, 10, -2, 10], [-46, -10, 8, 12]], 'char_orbit_index': 1, 'field_poly': [2, 6, -5, -2, 1], 'hecke_orbit_code': 63050394816743032, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 1, 1, 1], 'hecke_ring_inverse_denominators': [1, 2, 2, 2], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0], [1, 1, 0, -1], [7, 1, 2, -1], [11, 7, 2, -5]], 'hecke_ring_numerators': [[1, 0, 0, 0], [0, -4, -1, 1], [-3, -1, 1, 0], [1, -6, -1, 1]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 4, 'label': '1656.2.a.o', 'level': 1656, 'maxp': 2999, 'weight': 2}
• 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': [2, 4, 4, 3, 4, 2, 4, 5], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [3, 4, 4, 4, 4, 4, 4, 4], 'ALdims_old': [25, 38, 32, 29, 26, 36, 28, 31], 'Nk2': 6624, 'analytic_conductor': 13.223226574724032, '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': [1656, 1, [415, 829, 1289, 649], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 273, 'dim': 28, 'eis_dim': 31, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 7, 11, 13], 'hecke_orbit_code': 33556088, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 3, 4, 4], 'label': '1656.2.a', 'level': 1656, '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, 3, 23], 'level_radical': 138, 'mf_dim': 304, 'mf_new_dim': 28, 'num_forms': 16, 'plus_dim': 11, 'prim_orbit_index': 1, 'relative_dim': 28, 'sturm_bound': 576, 'trace_bound': 13, 'trace_display': [0, 0, -2, 0], 'traces': [28, 0, 0, 0, -2, 0, 0, 0, 0, 0, -2, 0, 4, 0, 0, 0, 8, 0, 10, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, -2, 0, 0, 0, 4, 0, 52, 0, 0, 0, -6, 0, 8, 0, 0, 0, 8, 0, -6, 0, 0, 0, -8, 0, 14, 0, 0, 0, 20, 0, -8, 0, 0, 0, -24, 0, 36, 0, 0, 0, 10, 0, 12, 0, 0, 0, 24, 0, 28, 0, 0, 0, 64, 0, 0, 0, 0, 0, -32, 0, 20, 0, 0, 0, -18, 0, -38, 0, 0, 0, 36, 0, -6, 0, 0, 0, 0, 0, 24, 0, 0, 0, 36, 0, 20, 0, 0, 0, 12, 0, -16, 0, 0, 0, 4, 0, 36, 0, 0, 0, -16, 0, 16, 0, 0, 0, 34, 0, 12, 0, 0, 0, -52, 0, -18, 0, 0, 0, -8, 0, 56, 0, 0, 0, 72, 0, 8, 0, 0, 0, 28, 0, -32, 0, 0, 0, 8, 0, -18, 0, 0, 0, 20, 0, 4, 0, 0, 0, -24, 0, -20, 0, 0, 0, 0, 0, -40, 0, 0, 0, 12, 0, -48, 0, 0, 0, -12, 0, 0, 0, 0, 0, 40, 0, -20, 0, 0, 0, -60, 0, 32, 0, 0, 0, -66, 0, -22, 0, 0, 0, -44, 0, 60, 0, 0, 0, -12, 0, -72, 0, 0, 0, -2, 0, -68, 0, 0, 0, -62, 0, 2, 0, 0, 0, 24, 0, -64, 0, 0, 0, -40, 0, 4, 0, 0, 0, -16, 0, 8, 0, 0, 0, -62, 0, 16, 0, 0, 0, 44, 0, 58, 0, 0, 0, -28, 0, -52, 0, 0, 0, -22, 0, -120, 0, 0, 0, 24, 0, 8, 0, 0, 0, -76, 0, -108, 0, 0, 0, -100, 0, 20, 0, 0, 0, 28, 0, -16, 0, 0, 0, -4, 0, 60, 0, 0, 0, 52, 0, -108, 0, 0, 0, -96, 0, -16, 0, 0, 0, -28, 0, -48, 0, 0, 0, -44, 0, -64, 0, 0, 0, -84, 0, -52, 0, 0, 0, 52, 0, 32, 0, 0, 0, 48, 0, 0, 0, 0, 0, 40, 0, 2, 0, 0, 0, -84, 0, -14, 0, 0, 0, 56, 0, -32, 0, 0, 0, 86, 0, 0, 0, 0, 0, -24, 0, -4, 0, 0, 0, -64, 0, -12, 0, 0, 0, 0, 0, -60, 0, 0, 0, 48, 0, -32, 0, 0, 0, -2, 0, 10, 0, 0, 0, 80, 0, 24, 0, 0, 0, 68, 0, 40, 0, 0, 0, -10, 0, -84, 0, 0, 0, 96, 0, 60, 0, 0, 0, 28, 0, -32, 0, 0, 0, -64, 0, -88, 0, 0, 0, -24, 0, -72, 0, 0, 0, -34, 0, 88, 0, 0, 0, 148, 0, 14, 0, 0, 0, 100, 0, -96, 0, 0, 0, -12, 0, 60, 0, 0, 0, 96, 0, -84, 0, 0, 0, -172, 0, -16, 0, 0, 0, -52, 0, -68, 0, 0, 0, -104, 0, -44, 0, 0, 0, 112, 0, -44, 0, 0, 0, -20, 0, 142, 0, 0, 0, -28, 0, 28, 0, 0, 0, 52, 0, -200, 0, 0, 0, 78, 0, 0, 0, 0, 0, -4, 0, -116, 0, 0, 0, -36, 0, -88, 0, 0, 0, 6, 0, 180, 0, 0, 0, -110, 0, -36, 0, 0, 0, 24, 0, 6, 0, 0, 0, 4, 0, -96, 0, 0, 0, -160, 0, 72, 0, 0, 0, 4, 0, 112, 0, 0, 0, -44, 0, 16, 0, 0, 0, -88, 0, 32, 0, 0, 0, 94, 0, 104, 0, 0, 0, -116, 0, 46, 0, 0, 0, -56, 0, 206, 0, 0, 0, 40, 0, 80, 0, 0, 0, -76, 0, -104, 0, 0, 0, 220, 0, -52, 0, 0, 0, 76, 0, 82, 0, 0, 0, 204, 0, -136, 0, 0, 0, -68, 0, 68, 0, 0, 0, 2, 0, 114, 0, 0, 0, 192, 0, -20, 0, 0, 0, -24, 0, 24, 0, 0, 0, -86, 0, 128, 0, 0, 0, 20, 0, -20, 0, 0, 0, 92, 0, -88, 0, 0, 0, -28, 0, -92, 0, 0, 0, 82, 0, 248, 0, 0, 0, -16, 0, 162, 0, 0, 0, -24, 0, -104, 0, 0, 0, 192, 0, 200, 0, 0, 0, 32, 0, -176, 0, 0, 0, 28, 0, 10, 0, 0, 0, -60, 0, -104, 0, 0, 0, -172, 0, 180, 0, 0, 0, 208, 0, 8, 0, 0, 0, 108, 0, -26, 0, 0, 0, -76, 0, 208, 0, 0, 0, 136, 0, 72, 0, 0, 0, -130, 0, 36, 0, 0, 0, -140, 0, -28, 0, 0, 0, -196, 0, -74, 0, 0, 0, -16, 0, 68, 0, 0, 0, -10, 0, 28, 0, 0, 0, -176, 0, 32, 0, 0, 0, 56, 0, -12, 0, 0, 0, -92, 0, -164, 0, 0, 0, 32, 0, 44, 0, 0, 0, -162, 0, 84, 0, 0, 0, 24, 0, 16, 0, 0, 0, -36, 0, -24, 0, 0, 0, 134, 0, 32, 0, 0, 0, 38, 0, 104, 0, 0, 0, -124, 0, -16, 0, 0, 0, -212, 0, 220, 0, 0, 0, 0, 0, 128, 0, 0, 0, 80, 0, 132, 0, 0, 0, 156, 0, -8, 0, 0, 0, -228, 0, 68, 0, 0, 0, -72, 0, 172, 0, 0, 0, 36, 0, 68, 0, 0, 0, -172, 0, -10, 0, 0, 0, 180, 0, 44, 0, 0, 0, 228, 0, 80, 0, 0, 0, 100, 0, 142, 0, 0, 0, -8, 0, 74, 0, 0, 0, 176, 0, -148, 0, 0, 0, 158, 0, 4, 0, 0, 0, 0, 0, 180, 0, 0, 0, -132, 0, -40, 0, 0, 0, 40, 0, -32, 0, 0, 0, 104, 0, 156, 0, 0, 0, -14, 0, -44, 0, 0, 0, 72, 0, 172, 0, 0, 0, -188, 0, 16, 0, 0, 0, -30, 0, 56, 0, 0, 0, 40, 0, -20, 0, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_nf •

  Column	Type
  conductor	integer
  degree	integer
  multiplicity	smallint
  order	integer
  parity	smallint
  self_twist_disc	integer
  source_char_orbit	smallint
  source_dim	integer
  source_hecke_orbit	integer
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_char_orbit	smallint
  target_dim	integer
  target_hecke_orbit	integer
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_char_orbit	smallint
  weight	smallint

  
  
  • id: 782866
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 15, 'source_is_minimal': True, 'source_label': '1656.2.a.o', 'source_level': 1656, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 15, 'target_is_minimal': True, 'target_label': '1656.2.a.o', 'target_level': 1656, 'twist_class_label': '1656.2.a.o', 'twist_class_level': 1656, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 782867
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 15, 'source_is_minimal': True, 'source_label': '1656.2.a.o', 'source_level': 1656, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 16, 'target_is_minimal': True, 'target_label': '1656.2.a.p', 'target_level': 1656, 'twist_class_label': '1656.2.a.o', 'twist_class_level': 1656, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 782868
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 15, 'source_is_minimal': True, 'source_label': '1656.2.a.o', 'source_level': 1656, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 33, 'target_is_minimal': False, 'target_label': '3312.2.a.bg', 'target_level': 3312, 'twist_class_label': '1656.2.a.o', 'twist_class_level': 1656, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 782869
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 4, 'source_hecke_orbit': 15, 'source_is_minimal': True, 'source_label': '1656.2.a.o', 'source_level': 1656, 'target_char_orbit': 1, 'target_dim': 4, 'target_hecke_orbit': 34, 'target_is_minimal': False, 'target_label': '3312.2.a.bh', 'target_level': 3312, 'twist_class_label': '1656.2.a.o', 'twist_class_level': 1656, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2108775
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 63050394816743032, 'p': 2}
  • id: 2108776
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 63050394816743032, 'p': 3}
  • id: 2108777
    {'charpoly_factorization': [[[-6, 2, 1], 2]], 'hecke_orbit_code': 63050394816743032, 'p': 5}
  • id: 2108778
    {'charpoly_factorization': [[[72, 48, -26, -2, 1], 1]], 'hecke_orbit_code': 63050394816743032, 'p': 7}
  • id: 2108779
    {'charpoly_factorization': [[[-48, -72, -22, 2, 1], 1]], 'hecke_orbit_code': 63050394816743032, 'p': 11}
  • id: 2108780
    {'charpoly_factorization': [[[32, 48, -20, -4, 1], 1]], 'hecke_orbit_code': 63050394816743032, 'p': 13}
  • id: 2108781
    {'charpoly_factorization': [[[-48, -72, -22, 2, 1], 1]], 'hecke_orbit_code': 63050394816743032, 'p': 17}
  • id: 2108782
    {'charpoly_factorization': [[[-444, 240, -16, -8, 1], 1]], 'hecke_orbit_code': 63050394816743032, 'p': 19}
  • id: 2108783
    {'charpoly_factorization': [[[-1, 1], 4]], 'hecke_orbit_code': 63050394816743032, 'p': 23}
  • id: 2108784
    {'charpoly_factorization': [[[-96, -48, 28, 12, 1], 1]], 'hecke_orbit_code': 63050394816743032, 'p': 29}
  • id: 2108785
    {'charpoly_factorization': [[[-96, 48, 28, -12, 1], 1]], 'hecke_orbit_code': 63050394816743032, 'p': 31}
  • id: 2108786
    {'charpoly_factorization': [[[-1592, 616, -10, -14, 1], 1]], 'hecke_orbit_code': 63050394816743032, 'p': 37}
  • id: 2108787
    {'charpoly_factorization': [[[-192, -384, -76, 4, 1], 1]], 'hecke_orbit_code': 63050394816743032, 'p': 41}
  • id: 2108788
    {'charpoly_factorization': [[[4468, 296, -144, -4, 1], 1]], 'hecke_orbit_code': 63050394816743032, 'p': 43}
  • id: 2108789
    {'charpoly_factorization': [[[16, 720, -56, -12, 1], 1]], 'hecke_orbit_code': 63050394816743032, 'p': 47}
  • id: 2108790
    {'charpoly_factorization': [[[1684, -352, -72, 8, 1], 1]], 'hecke_orbit_code': 63050394816743032, 'p': 53}
  • id: 2108791
    {'charpoly_factorization': [[[-4864, 1920, -92, -16, 1], 1]], 'hecke_orbit_code': 63050394816743032, 'p': 59}
  • id: 2108792
    {'charpoly_factorization': [[[8, 8, -10, -6, 1], 1]], 'hecke_orbit_code': 63050394816743032, 'p': 61}
  • id: 2108793
    {'charpoly_factorization': [[[1124, 912, -128, -8, 1], 1]], 'hecke_orbit_code': 63050394816743032, 'p': 67}
  • id: 2108794
    {'charpoly_factorization': [[[128, 160, -28, -12, 1], 1]], 'hecke_orbit_code': 63050394816743032, 'p': 71}
  • id: 2108795
    {'charpoly_factorization': [[[-96, 1392, -68, -16, 1], 1]], 'hecke_orbit_code': 63050394816743032, 'p': 73}
  • id: 2108796
    {'charpoly_factorization': [[[648, 288, -34, -10, 1], 1]], 'hecke_orbit_code': 63050394816743032, 'p': 79}
  • id: 2108797
    {'charpoly_factorization': [[[16, -56, 50, -14, 1], 1]], 'hecke_orbit_code': 63050394816743032, 'p': 83}
  • id: 2108798
    {'charpoly_factorization': [[[3136, -784, -126, 14, 1], 1]], 'hecke_orbit_code': 63050394816743032, 'p': 89}
  • id: 2108799
    {'charpoly_factorization': [[[1488, 48, -104, -4, 1], 1]], 'hecke_orbit_code': 63050394816743032, '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': 15, 'label': '1656.2.a.o', 'level': 1656, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  Showing the first 100 of 258 matching records in this table.
  • id: 59394157
    {'hecke_orbit_code': 63050394816743032, 'n': 1, 'trace_an': 4}
  • id: 59394158
    {'hecke_orbit_code': 63050394816743032, 'n': 2, 'trace_an': 0}
  • id: 59394159
    {'hecke_orbit_code': 63050394816743032, 'n': 3, 'trace_an': 0}
  • id: 59394160
    {'hecke_orbit_code': 63050394816743032, 'n': 4, 'trace_an': 0}
  • id: 59394161
    {'hecke_orbit_code': 63050394816743032, 'n': 5, 'trace_an': -4}
  • id: 59394162
    {'hecke_orbit_code': 63050394816743032, 'n': 6, 'trace_an': 0}
  • id: 59394163
    {'hecke_orbit_code': 63050394816743032, 'n': 7, 'trace_an': 2}
  • id: 59394164
    {'hecke_orbit_code': 63050394816743032, 'n': 8, 'trace_an': 0}
  • id: 59394165
    {'hecke_orbit_code': 63050394816743032, 'n': 9, 'trace_an': 0}
  • id: 59394166
    {'hecke_orbit_code': 63050394816743032, 'n': 10, 'trace_an': 0}
  • id: 59394167
    {'hecke_orbit_code': 63050394816743032, 'n': 11, 'trace_an': -2}
  • id: 59394168
    {'hecke_orbit_code': 63050394816743032, 'n': 12, 'trace_an': 0}
  • id: 59394169
    {'hecke_orbit_code': 63050394816743032, 'n': 13, 'trace_an': 4}
  • id: 59394170
    {'hecke_orbit_code': 63050394816743032, 'n': 14, 'trace_an': 0}
  • id: 59394171
    {'hecke_orbit_code': 63050394816743032, 'n': 15, 'trace_an': 0}
  • id: 59394172
    {'hecke_orbit_code': 63050394816743032, 'n': 16, 'trace_an': 0}
  • id: 59394173
    {'hecke_orbit_code': 63050394816743032, 'n': 17, 'trace_an': -2}
  • id: 59394174
    {'hecke_orbit_code': 63050394816743032, 'n': 18, 'trace_an': 0}
  • id: 59394175
    {'hecke_orbit_code': 63050394816743032, 'n': 19, 'trace_an': 8}
  • id: 59394176
    {'hecke_orbit_code': 63050394816743032, 'n': 20, 'trace_an': 0}
  • id: 59394177
    {'hecke_orbit_code': 63050394816743032, 'n': 21, 'trace_an': 0}
  • id: 59394178
    {'hecke_orbit_code': 63050394816743032, 'n': 22, 'trace_an': 0}
  • id: 59394179
    {'hecke_orbit_code': 63050394816743032, 'n': 23, 'trace_an': 4}
  • id: 59394180
    {'hecke_orbit_code': 63050394816743032, 'n': 24, 'trace_an': 0}
  • id: 59394181
    {'hecke_orbit_code': 63050394816743032, 'n': 25, 'trace_an': 12}
  • id: 59394182
    {'hecke_orbit_code': 63050394816743032, 'n': 26, 'trace_an': 0}
  • id: 59394183
    {'hecke_orbit_code': 63050394816743032, 'n': 27, 'trace_an': 0}
  • id: 59394184
    {'hecke_orbit_code': 63050394816743032, 'n': 28, 'trace_an': 0}
  • id: 59394185
    {'hecke_orbit_code': 63050394816743032, 'n': 29, 'trace_an': -12}
  • id: 59394186
    {'hecke_orbit_code': 63050394816743032, 'n': 30, 'trace_an': 0}
  • id: 59394187
    {'hecke_orbit_code': 63050394816743032, 'n': 31, 'trace_an': 12}
  • id: 59394188
    {'hecke_orbit_code': 63050394816743032, 'n': 32, 'trace_an': 0}
  • id: 59394189
    {'hecke_orbit_code': 63050394816743032, 'n': 33, 'trace_an': 0}
  • id: 59394190
    {'hecke_orbit_code': 63050394816743032, 'n': 34, 'trace_an': 0}
  • id: 59394191
    {'hecke_orbit_code': 63050394816743032, 'n': 35, 'trace_an': 12}
  • id: 59394192
    {'hecke_orbit_code': 63050394816743032, 'n': 36, 'trace_an': 0}
  • id: 59394193
    {'hecke_orbit_code': 63050394816743032, 'n': 37, 'trace_an': 14}
  • id: 59394194
    {'hecke_orbit_code': 63050394816743032, 'n': 38, 'trace_an': 0}
  • id: 59394195
    {'hecke_orbit_code': 63050394816743032, 'n': 39, 'trace_an': 0}
  • id: 59394196
    {'hecke_orbit_code': 63050394816743032, 'n': 40, 'trace_an': 0}
  • id: 59394197
    {'hecke_orbit_code': 63050394816743032, 'n': 41, 'trace_an': -4}
  • id: 59394198
    {'hecke_orbit_code': 63050394816743032, 'n': 42, 'trace_an': 0}
  • id: 59394199
    {'hecke_orbit_code': 63050394816743032, 'n': 43, 'trace_an': 4}
  • id: 59394200
    {'hecke_orbit_code': 63050394816743032, 'n': 44, 'trace_an': 0}
  • id: 59394201
    {'hecke_orbit_code': 63050394816743032, 'n': 45, 'trace_an': 0}
  • id: 59394202
    {'hecke_orbit_code': 63050394816743032, 'n': 46, 'trace_an': 0}
  • id: 59394203
    {'hecke_orbit_code': 63050394816743032, 'n': 47, 'trace_an': 12}
  • id: 59394204
    {'hecke_orbit_code': 63050394816743032, 'n': 48, 'trace_an': 0}
  • id: 59394205
    {'hecke_orbit_code': 63050394816743032, 'n': 49, 'trace_an': 28}
  • id: 59394206
    {'hecke_orbit_code': 63050394816743032, 'n': 50, 'trace_an': 0}
  • id: 59394207
    {'hecke_orbit_code': 63050394816743032, 'n': 51, 'trace_an': 0}
  • id: 59394208
    {'hecke_orbit_code': 63050394816743032, 'n': 52, 'trace_an': 0}
  • id: 59394209
    {'hecke_orbit_code': 63050394816743032, 'n': 53, 'trace_an': -8}
  • id: 59394210
    {'hecke_orbit_code': 63050394816743032, 'n': 54, 'trace_an': 0}
  • id: 59394211
    {'hecke_orbit_code': 63050394816743032, 'n': 55, 'trace_an': 16}
  • id: 59394212
    {'hecke_orbit_code': 63050394816743032, 'n': 56, 'trace_an': 0}
  • id: 59394213
    {'hecke_orbit_code': 63050394816743032, 'n': 57, 'trace_an': 0}
  • id: 59394214
    {'hecke_orbit_code': 63050394816743032, 'n': 58, 'trace_an': 0}
  • id: 59394215
    {'hecke_orbit_code': 63050394816743032, 'n': 59, 'trace_an': 16}
  • id: 59394216
    {'hecke_orbit_code': 63050394816743032, 'n': 60, 'trace_an': 0}
  • id: 59394217
    {'hecke_orbit_code': 63050394816743032, 'n': 61, 'trace_an': 6}
  • id: 59394218
    {'hecke_orbit_code': 63050394816743032, 'n': 62, 'trace_an': 0}
  • id: 59394219
    {'hecke_orbit_code': 63050394816743032, 'n': 63, 'trace_an': 0}
  • id: 59394220
    {'hecke_orbit_code': 63050394816743032, 'n': 64, 'trace_an': 0}
  • id: 59394221
    {'hecke_orbit_code': 63050394816743032, 'n': 65, 'trace_an': -4}
  • id: 59394222
    {'hecke_orbit_code': 63050394816743032, 'n': 66, 'trace_an': 0}
  • id: 59394223
    {'hecke_orbit_code': 63050394816743032, 'n': 67, 'trace_an': 8}
  • id: 59394224
    {'hecke_orbit_code': 63050394816743032, 'n': 68, 'trace_an': 0}
  • id: 59394225
    {'hecke_orbit_code': 63050394816743032, 'n': 69, 'trace_an': 0}
  • id: 59394226
    {'hecke_orbit_code': 63050394816743032, 'n': 70, 'trace_an': 0}
  • id: 59394227
    {'hecke_orbit_code': 63050394816743032, 'n': 71, 'trace_an': 12}
  • id: 59394228
    {'hecke_orbit_code': 63050394816743032, 'n': 72, 'trace_an': 0}
  • id: 59394229
    {'hecke_orbit_code': 63050394816743032, 'n': 73, 'trace_an': 16}
  • id: 59394230
    {'hecke_orbit_code': 63050394816743032, 'n': 74, 'trace_an': 0}
  • id: 59394231
    {'hecke_orbit_code': 63050394816743032, 'n': 75, 'trace_an': 0}
  • id: 59394232
    {'hecke_orbit_code': 63050394816743032, 'n': 76, 'trace_an': 0}
  • id: 59394233
    {'hecke_orbit_code': 63050394816743032, 'n': 77, 'trace_an': -12}
  • id: 59394234
    {'hecke_orbit_code': 63050394816743032, 'n': 78, 'trace_an': 0}
  • id: 59394235
    {'hecke_orbit_code': 63050394816743032, 'n': 79, 'trace_an': 10}
  • id: 59394236
    {'hecke_orbit_code': 63050394816743032, 'n': 80, 'trace_an': 0}
  • id: 59394237
    {'hecke_orbit_code': 63050394816743032, 'n': 81, 'trace_an': 0}
  • id: 59394238
    {'hecke_orbit_code': 63050394816743032, 'n': 82, 'trace_an': 0}
  • id: 59394239
    {'hecke_orbit_code': 63050394816743032, 'n': 83, 'trace_an': 14}
  • id: 59394240
    {'hecke_orbit_code': 63050394816743032, 'n': 84, 'trace_an': 0}
  • id: 59394241
    {'hecke_orbit_code': 63050394816743032, 'n': 85, 'trace_an': 16}
  • id: 59394242
    {'hecke_orbit_code': 63050394816743032, 'n': 86, 'trace_an': 0}
  • id: 59394243
    {'hecke_orbit_code': 63050394816743032, 'n': 87, 'trace_an': 0}
  • id: 59394244
    {'hecke_orbit_code': 63050394816743032, 'n': 88, 'trace_an': 0}
  • id: 59394245
    {'hecke_orbit_code': 63050394816743032, 'n': 89, 'trace_an': -14}
  • id: 59394246
    {'hecke_orbit_code': 63050394816743032, 'n': 90, 'trace_an': 0}
  • id: 59394247
    {'hecke_orbit_code': 63050394816743032, 'n': 91, 'trace_an': 32}
  • id: 59394248
    {'hecke_orbit_code': 63050394816743032, 'n': 92, 'trace_an': 0}
  • id: 59394249
    {'hecke_orbit_code': 63050394816743032, 'n': 93, 'trace_an': 0}
  • id: 59394250
    {'hecke_orbit_code': 63050394816743032, 'n': 94, 'trace_an': 0}
  • id: 59394251
    {'hecke_orbit_code': 63050394816743032, 'n': 95, 'trace_an': 20}
  • id: 59394252
    {'hecke_orbit_code': 63050394816743032, 'n': 96, 'trace_an': 0}
  • id: 59394253
    {'hecke_orbit_code': 63050394816743032, 'n': 97, 'trace_an': 4}
  • id: 59394254
    {'hecke_orbit_code': 63050394816743032, 'n': 98, 'trace_an': 0}
  • id: 59394255
    {'hecke_orbit_code': 63050394816743032, 'n': 99, 'trace_an': 0}
  • id: 59394256
    {'hecke_orbit_code': 63050394816743032, 'n': 100, 'trace_an': 0}