Newform data - 546.2.q.a

Formats: - HTML - YAML - JSON - 2026-09-22T04:03:16.501972

• 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': 2184, 'analytic_conductor': 4.359831950361909, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 273, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 17, 'char_orbit_label': 'q', 'char_order': 6, 'char_parity': 1, 'char_values': [546, 6, [365, 157, 379], [3, 3, 1]], 'cm_discs': [], 'conrey_index': 251, 'dim': 2, 'field_disc': -3, 'field_disc_factorization': [[-1, 1], [3, 1]], 'field_poly': [1, -1, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 6, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [12, 0, 1]], [11, [9, -3, 1]], [17, [9, 3, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 1099545182754, 'hecke_ring_generator_nbound': 2, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 273, 21, 1, 6, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '546.2.q.a', 'level': 546, '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': True, 'level_primes': [2, 3, 7, 13], 'level_radical': 546, 'minimal_twist': '546.2.q.a', 'nf_label': '2.0.3.1', 'prim_orbit_index': 21, 'qexp_display': 'q+(-1+\\zeta_{6})q^{2}+(-1-\\zeta_{6})q^{3}-\\zeta_{6}q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c6', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '546.2.q', 'trace_display': [-1, -3, 0, 1], 'trace_hash': 1012691550930351244, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.013', 'prec': 7}, {'__RealLiteral__': 0, 'data': '1.985', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.246', 'prec': 10}, {'__RealLiteral__': 0, 'data': '11.878', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.198', 'prec': 14}, {'__RealLiteral__': 0, 'data': '99.337', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.177', 'prec': 10}, 'traces': [2, -1, -3, -1, 0, 3, 1, 2, 3, 6, 3, 0, -7, 4, -6, -1, -3, -6, 7, -6, -6, 3, -12, -3, -14, 2, 0, -5, 3, -6, 8, -1, -9, 6, -18, 3, -12, -14, 12, 0, -9, -3, 8, -6, 18, 12, 0, 3, -13, 7, 0, 5, 0, 9, -18, 1, 0, -3, 18, 12, -9, -4, 15, 2, 6, 0, 0, -3, 12, 12, -6, 3, 8, 12, 21, 7, -12, -9, -22, 6, -9, 9, 0, 9, -18, -16, -3, 3, -15, 0, 1, 0, -12, -15, 42, 0, -2, 11, 18, 7, 0, -9, 0, -7, 24, 15, 9, -9, 0, 18, 12, 4, 24, 21, -24, 0, -15, 0, -15, -6, 2, 0, 9, -4, 0, -3, 8, -1, 0, -24, 12, 9, 35, 0, -36, -3, -12, -24, 9, 6, 15, 12, -6, -6, 6, -4, 15, 0, 6, -21, 0, 7, 9, 15, 0, -3, 0, 11, -15, -6, -24, -9, 42, 0, 18, -24, -30, -6, 23, 0, -21, 8, 0, 6, -7, 3, -36, 15, 42, -18, 0, -17, 18, -12, -24, 12, -18, 15, -27, 0, 0, -3, -21, 4, 12, 2, -27, -9, 18, -14, 0, 0, 6, 9, -18, 6, 0, 2, 42, -30, 22, -15, 0, -9, 48, 0, 4, -6, -12, 0, 15, -24, 16, -5, -21, 0, 18, -21, 26, -24, 9, 3, 0, 21, 60, -18, 33, 3, -24, -6, -10, -4, 27, 9, -18, -18, -35, 8, 24, -12, -30, -12, -36, 8, 36, -1, 27, 24, -24, 18, 0, -6, -42, -9, -60, -7, 15, 0, -24, 18, -8, 6, 15, 24, -21, 12, 16, 0, 12, -18, -24, 15, -6, -6, -84, -15, -18, 3, 8, 6, 0, -4, -12, -24, -36, -12, -27, -12, 48, 0, 40, 15, 0, -14, 18, 9, 14, -3, -6, 24, -6, 12, 0, 24, -18, 11, -36, -15, 9, 0, -9, -12, 21, 18, 49, 0, 6, -9, 45, -36, 0, 24, 0, 30, 0, -3, -38, -1, -48, 18, 12, -21, -20, 8, 72, 0, -27, -3, 2, -28, 9, -6, 36, 18, -36, 0, 27, -42, 48, 18, -30, -3, 0, 16, 0, -9, 36, 12, 0, -24, -45, 0, 20, 9, 12, 0, -12, 18, -18, -42, -24, 0, -9, 3, -36, 21, -24, -2, 0, 30, 0, -13, -18, -27, 0, -9, 7, 0, -63, 7, 18, 0, -28, 0, 54, 3, -36, 0, 4, -18, 0, -6, -18, 36, 96, 5, -18, -21, -12, 6, 0, 22, -45, 0, 21, -18, 9, 0, 27, 0, -18, 9, 30, 16, -18, 6, 0, 12, 6, -18, -6, -21, 0, 12, -30, 16, 0, 1, 36, 42, -27, -24, -15, 0, 66, 0, -12, -13, -27, 48, -54, -27, 0, -3, -24, 12, 12, -6, 0, -30, -24, 18, 48, -33, -49, 12, 45, 12, 57, 12, 48, 20, 60, 2, -12, 0, 15, -9, -84, -30, -18, 9, 0, 49, 0, -4, -30, 24, 0, 12, 30, 60, 12, 15, 0, 0, -45, -16, 48, -18, 4, 2, 63, 27, -24, -24, 45, -12, 0, 6, -6, -9, -57, -6, 42, 42, -12, 0, 25, 30, 54, -28, 36, -30, 18, 0, -42, 48, -33, 18, 0, -8, 3, -3, 24, 18, 4, -12, -27, -21, 0, 12, -11, -32, 72, -9, 3, -24, -40, 12, 27, 12, -24, -30, -48, 6, 36, -6, 30, 42, 80, 21, 0, -9, 84, 3, -20, 8, 21, -12, 72, -6, -45, 8, -54, 0, -30, 9, 28, 72, 81, 12, 0, 27, 18, 6, -36, -36, 0, 21, 54, -8, 0, -15, 12, 0, 12, 7, -15, -36, -15, -18, 0, -7, 54, -12, -6, -6, -62, -24, -36, 3, -30, -9, -22, -36, -63, -24, 0, 54, -81, -22, -66, 18, -48, 30, 50, 0, 18, 6, -6, 18, 47, 36, -96, 21, 21, -9, 0, -14, -24, -42, 9, 6, 0, 9, 12, -30, 3, 18, 14, 0, -9, 0, -42, 36, -12, 0, -48, 0, 0, 9, 29, 19, 0, -22, 12, 24, -10, -18, -36, 12, -12, 42, -72, -17, -39, -16, 15, 0, -8, 0, 9, 0, -18, -3, 0, 2, -12, 35, 0, -36, 0, 3, -90, -36, 0, 18, 42, 0, -33, -15, -48, -18, 72, 0, 36, -24, 21, 0, -18, -30, 0, 3, -21, 6, 0, 1, -54, 24, 24, -9, 26, -36, 66, 0, 0, 27, 0, 48, 21, 30, -6, -12, 36, -40, -72, 9, 18, 12, -31, -15, 0, 9, -60, 9, -20, 18, 72, 42, 12, 0, 18, 0, -54, 0, -54, 0, -40, -18, -81, 0, 18, -24, -56, -2, 60, 36, 0, -42, -36, -36, 9, 11, -96, 18, -17, 54, 42, -66, -24, 18, 27, -14, 90, -18, 12, 42, 45, 7, 0, 18, 12, 0, 96, 8, 0, 0, -84, -54, 56, -9, 24, 0, -84, -9, -56, -8, -48, 36, -3, -36, 16, 0, 63, 54, -24, -36, -27, -48, 0, -7, 6, 9, -60, -21, 0, -12, -54, 24, -26, 42, 36, -44, -42, 0, 10, 15, 6, -42, 48, 18, 70, -27, 126, 9, 36, 9, 0, -48, 45, -18, 48, -9, 0, 0, -24, -20, -33, 0, 0, 0, 6, 84, 36, 0, 42, -6, 24, 18, 30, 39, 4, 6, 0, -51, 27, 12, -32, -30, 27, -32, -105, 18, 84, 4, -60, -72, 12, -21, -45, 0, -72, 24, 12, -15, 10, -18, 0, -30, 0, 21, 72, 12, 0, -13, 6, 0, -29, -24, -21, 0, 30, 18, 84, 63, 18, 0, -51, -24, -14, -12, 9, -6, 0, -15, 0, 0, 36, -30, 0, -24, 36, 0, -18, -24, -3, 0, -28, 98, 54, -15, 66, 0, 0, 12, -18, -57, -60, -6, -30, -36, 0, -10, -42, -12, 0, 2, -63, 0, 0, -27, -9, 0, -84, 0, -18, 42, -45, 48, -18, 18, 0, 9, 162, 9, -60, -14, 0, 54, 17, -4, 0, 6, -36, -48, 39, -72, -36, 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], [-1, 1], [-1, -1], [0, -1], [2, -4], [2, -1], [2, -3], [1, 0], [0, 3], [2, 2], [3, -3], [-1, 2], [-4, 1], [1, 2], [-6, 6], [-1, 1], [0, -3], [-3, 0], [0, 7], [-4, 2], [-5, 4], [0, 3], [-4, -4], [-1, -1], [-7, 0], [3, -4], [3, -6], [-3, 1], [1, 1], [0, -6], [4, 0], [0, -1], [-6, 3], [3, 0], [-8, -2], [3, -3], [-4, -4], [-7, 0], [5, 2], [2, -4], [-3, -3], [1, -5], [0, 8], [-3, 0], [12, -6], [8, -4], [-5, 10], [2, -1], [-5, -3], [7, -7], [-3, 6], [1, 3], [5, -10], [3, 3], [-6, -6], [2, -3], [7, -14], [-2, 1], [12, -6], [6, 0], [-6, 3], [-4, 4], [9, -3], [1, 0], [-4, 14], [3, -6], [0, 0], [-3, 3], [0, 12], [10, -8], [0, -6], [0, 3], [4, 0], [8, -4], [7, 7], [7, -7], [-3, -6], [-7, 5], [-11, 0], [2, 2], [-9, 9], [6, -3], [-8, 16], [4, 1], [-12, 6], [-8, 0], [0, -3], [3, -3], [-5, -5], [-6, 12], [-5, 11], [-4, 8], [-4, -4], [-5, -5], [28, -14], [-1, 2], [0, -2], [8, -5], [9, 0], [0, 7]], 'ap': [[-1, 1], [-1, -1], [2, -4], [2, -3], [3, -3], [-4, 1], [0, -3], [0, 7], [-4, -4], [1, 1], [4, 0], [-4, -4], [-3, -3], [0, 8], [-5, 10], [5, -10], [12, -6], [-6, 3], [0, 0], [0, -6], [4, 0], [-11, 0], [-8, 16], [-5, -5], [0, -2], [0, 0], [2, -4], [3, 3], [-2, 4], [16, -8], [8, -8], [6, 0], [0, -12], [6, -3], [0, 6], [5, -10], [8, -16], [28, -14], [-10, -10], [0, 0], [14, 14], [-1, 2], [0, 0], [-7, -7], [-27, 27], [12, -6], [22, -22], [16, -16], [12, -6], [13, 0], [4, -8], [-12, 0], [0, -10], [0, -30], [27, -27], [-14, -14], [0, -24], [-8, 8], [0, 16], [-12, 0], [-2, -2], [-8, 4], [7, 0], [-3, 0], [-12, 24], [-18, 0], [0, 0], [-19, 0], [-18, 9], [2, -2], [12, 12], [24, 0], [12, 12], [0, 20], [-6, -6], [-6, 3], [12, -24], [0, 7], [18, -18], [0, 4], [-12, 12], [14, -28], [-18, 18], [20, -10], [2, 2], [-17, 34], [0, 36], [-4, -4], [-36, 18], [21, -42], [6, 0], [19, 19], [10, -5], [-6, -6], [-24, 48], [0, 12], [16, 16], [-3, 0], [-19, -19], [18, -36], [2, 0], [3, -3], [0, -24], [10, 10], [40, 0], [-10, 0], [-10, -10], [-5, 10], [-2, 4], [18, 18], [8, -4], [0, 0], [0, -6], [-31, 0], [-54, 27], [-4, 2], [0, 47], [21, -21], [3, 3], [2, -1], [14, -14], [29, -29], [6, 0], [0, -12], [-8, 8], [7, -14], [28, -14], [0, 21], [20, -40], [13, 0], [0, 0], [-6, 6], [-31, 31], [-20, 20], [8, -4], [-40, 40], [12, -6], [0, -17], [0, 12], [-28, -28], [28, 0], [-3, 3], [0, 16], [-12, 0], [-9, -9], [-36, 18], [35, 0], [18, 0], [23, -46], [24, 0], [28, -14], [30, -30], [2, 0], [27, -27], [10, -10], [28, -56], [0, -29], [-34, 17], [-22, 44], [22, -44], [-3, 3], [44, -22], [-14, 28], [0, 0], [-18, 18], [-34, 68], [17, -17], [26, -13]], 'char_orbit_index': 17, 'field_poly': [1, -1, 1], 'hecke_orbit_code': 1099545182754, 'hecke_ring_character_values': [[365, [-1, 0]], [157, [-1, 0]], [379, [0, 1]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 2, 'label': '546.2.q.a', 'level': 546, 'maxp': 997, '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

  
  {'Nk2': 2184, 'analytic_conductor': 4.359831950361909, 'char_conductor': 273, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 17, 'char_orbit_label': 'q', 'char_order': 6, 'char_parity': 1, 'char_values': [546, 6, [365, 157, 379], [3, 3, 1]], 'conrey_index': 251, 'cusp_dim': 208, 'dim': 72, 'eis_dim': 32, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 11, 17], 'hecke_orbit_code': 1099545182754, 'hecke_orbit_dims': [2, 2, 2, 2, 4, 4, 4, 4, 24, 24], 'label': '546.2.q', 'level': 546, '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': True, 'level_primes': [2, 3, 7, 13], 'level_radical': 546, 'mf_dim': 240, 'mf_new_dim': 72, 'num_forms': 10, 'prim_orbit_index': 21, 'relative_dim': 36, 'sturm_bound': 224, 'trace_bound': 3, 'trace_display': [0, 0, 0, 0], 'traces': [72, 0, 0, -36, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, -12, -36, 0, 0, 0, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, -4, 0, 0, 48, 0, 0, 16, -20, 0, 0, 12, 0, 0, -12, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 72, 0, 0, -84, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, -44, 16, 0, 56, 0, 0, 0, -120, 0, 0, 0, 0, 0, 32, 0, 48, 0, 0, 0, 0, 0, 0, 28, 0, -84, 0, 0, 24, 84, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, -16, -12, 0, 60, 0, 0, -12, 88, 0, 0, -24, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, -96, 120, 0, 8, 0, 0, 96, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, -48, -12, 0, -48, 0, 0, -32, 300, 0, 0, -20, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, -120, -12, 0, -4, 0, 0, -72, 0, 0, 0, -72, 0, 0, 24, 0, -48, 0, 0, 0, 0, 0, 24, -80, 0, -224, 0, 0, 60, -72, 0, 0, 0, 0, 0, 60, 0, -156, 0, 0, 0, 0, 0, -48, 0, 0, -12, 0, 0, 36, 0, 0, 0, -128, 0, 0, -36, 0, 12, 0, 0, 0, 0, 0, 152, -48, 0, 168, 0, 0, 0, 48, 0, 0, -36, 0, 0, -192, 0, 64, 0, 0, 0, 0, 0, 228, 0, 0, 104, 0, 0, 24, 144, 0, 0, -24, 0, 0, 48, 0, 8, 0, 0, 0, 0, 0, -12, 48, 0, 0, 0, 0, 0, -320, 0, 0, -72, 0, 0, 192, 0, -72, 0, 0, 0, 0, 0, -96, 0, 0, 4, 0, 0, 76, -8, 0, 0, 480, 0, 0, 72, 0, -112, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, -768, 0, 0, 120, 0, 0, 0, 0, 384, 0, 0, 0, 0, 0, -240, 0, 0, 20, 0, 0, -216, -336, 0, 0, -12, 0, 0, 20, 0, 252, 0, 0, 0, 0, 0, 0, 184, 0, 72, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 76, 0, 0, 0, 0, 0, -12, 60, 0, -24, 0, 0, -156, 28, 0, 0, -164, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 48, 112, 0, 24, 0, 0, -12, 0, 0, 0, 0, 0, 0, -180, 0, 144, 0, 0, 0, 0, 0, 156, 96, 0, -172, 0, 0, -40, 324, 0, 0, -152, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, -108, 0, 24, 0, 0, -300, 0, 0, 0, 24, 0, 0, 96, 0, -264, 0, 0, 0, 0, 0, 328, 84, 0, 32, 0, 0, -96, -12, 0, 0, 168, 0, 0, -72, 0, -60, 0, 0, 0, 0, 0, 20, 0, 0, -552, 0, 0, -12, 120, 0, 0, -176, 0, 0, -72, 0, 264, 0, 0, 0, 0, 0, 576, -96, 0, -264, 0, 0, 0, 72, 0, 0, 280, 0, 0, 16, 0, -16, 0, 0, 0, 0, 0, 240, 0, 0, 24, 0, 0, 48, 336, 0, 0, -24, 0, 0, 312, 0, -12, 0, 0, 0, 0, 0, -288, 24, 0, 0, 0, 0, 0, -60, 0, 0, 760, 0, 0, -144, 0, -4, 0, 0, 0, 0, 0, -40, 240, 0, 292, 0, 0, 96, 128, 0, 0, 0, 0, 0, -72, 0, -240, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 216, -528, 0, 0, -72, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, -48, -104, 0, 48, 0, 0, 36, -744, 0, 0, -204, 0, 0, -168, 0, -108, 0, 0, 0, 0, 0, 0, -120, 0, 48, 0, 0, 24, 12, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, -120, -8, 0, -96, 0, 0, 16, 220, 0, 0, -204, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, -36, 40, 0, 424, 0, 0, 120, 0, 0, 0, 0, 0, 0, -96, 0, 64, 0, 0, 0, 0, 0, -12, -336, 0, -248, 0, 0, -72, 552, 0, 0, 144, 0, 0, 228, 0, 0, 0, 0, 0, 0, 0, -232, -408, 0, 60, 0, 0, -492, 0, 0, 0, -444, 0, 0, -96, 0, -4, 0, 0, 0, 0, 0, 196, -152, 0, -528, 0, 0, 72, 168, 0, 0, 168, 0, 0, 24, 0, -552, 0, 0, 0, 0, 0, -192, 0, 0, 24, 0, 0, 216, 180, 0, 0, 0, 0, 0, -12, 0, 420, 0, 0, 0, 0, 0, 96, -192, 0, 636, 0, 0, 0, -48, 0, 0, 288, 0, 0, 160, 0, 312, 0, 0, 0, 0, 0, 552, 0, 0, 24, 0, 0, 128, 160, 0, 0, -24, 0, 0, 468, 0, 112, 0, 0, 0, 0, 0, -204, 232, 0, 0, 0, 0, 0, -428, 0, 0, 144, 0, 0, 360, 0, -276, 0, 0, 0, 0, 0, -436, 0, 0, 192, 0, 0, 144, 12, 0, 0, 720, 0, 0, 60, 0, -296, 0, 0, 0, 0, 0, 0, -384, 0, 0, 0, 0, 204, -360, 0, 0, 288, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, -600, 144, 0, -48, 0, 0, -276, -48, 0, 0, 84, 0, 0, -144, 0, 12, 0, 0, 0, 0, 0, 0, -192, 0, 504, 0, 0, -72, 192, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, -192, 64, 0, -432, 0, 0, -276, -48, 0, 0, -608, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, -12, 384, 0, 160, 0, 0, 44, 0, 0, 0, 0, 0, 0, -528, 0, -72, 0, 0, 0, 0, 0, 0, 144, 0, -76, 0, 0, 96, 96, 0, 0, -104, 0, 0, -216, 0, 0, 0, 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: 377816
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 17, 'source_dim': 2, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '546.2.q.a', 'source_level': 546, 'target_char_orbit': 17, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '546.2.q.a', 'target_level': 546, 'twist_class_label': '546.2.q.a', 'twist_class_level': 546, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 377817
    {'conductor': 273, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 17, 'source_dim': 2, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '546.2.q.a', 'source_level': 546, 'target_char_orbit': 17, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '546.2.q.a', 'target_level': 546, 'twist_class_label': '546.2.q.a', 'twist_class_level': 546, 'twisting_char_label': '273.u', 'twisting_char_orbit': 21, 'weight': 2}
  • id: 377818
    {'conductor': 7, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 17, 'source_dim': 2, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '546.2.q.a', 'source_level': 546, 'target_char_orbit': 17, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '546.2.q.b', 'target_level': 546, 'twist_class_label': '546.2.q.a', 'twist_class_level': 546, 'twisting_char_label': '7.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 377819
    {'conductor': 39, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 17, 'source_dim': 2, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '546.2.q.a', 'source_level': 546, 'target_char_orbit': 17, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '546.2.q.b', 'target_level': 546, 'twist_class_label': '546.2.q.a', 'twist_class_level': 546, 'twisting_char_label': '39.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 377820
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 17, 'source_dim': 2, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '546.2.q.a', 'source_level': 546, 'target_char_orbit': 17, 'target_dim': 2, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '546.2.q.c', 'target_level': 546, 'twist_class_label': '546.2.q.a', 'twist_class_level': 546, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 377821
    {'conductor': 91, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 17, 'source_dim': 2, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '546.2.q.a', 'source_level': 546, 'target_char_orbit': 17, 'target_dim': 2, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '546.2.q.c', 'target_level': 546, 'twist_class_label': '546.2.q.a', 'twist_class_level': 546, 'twisting_char_label': '91.t', 'twisting_char_orbit': 20, 'weight': 2}
  • id: 377822
    {'conductor': 13, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 17, 'source_dim': 2, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '546.2.q.a', 'source_level': 546, 'target_char_orbit': 17, 'target_dim': 2, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '546.2.q.d', 'target_level': 546, 'twist_class_label': '546.2.q.a', 'twist_class_level': 546, 'twisting_char_label': '13.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 377823
    {'conductor': 21, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 17, 'source_dim': 2, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '546.2.q.a', 'source_level': 546, 'target_char_orbit': 17, 'target_dim': 2, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '546.2.q.d', 'target_level': 546, 'twist_class_label': '546.2.q.a', 'twist_class_level': 546, 'twisting_char_label': '21.c', 'twisting_char_orbit': 3, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1030575
    {'charpoly_factorization': [[[1, 1, 1], 1]], 'hecke_orbit_code': 1099545182754, 'p': 2}
  • id: 1030576
    {'charpoly_factorization': [[[3, 3, 1], 1]], 'hecke_orbit_code': 1099545182754, 'p': 3}
  • id: 1030577
    {'charpoly_factorization': [[[12, 0, 1], 1]], 'hecke_orbit_code': 1099545182754, 'p': 5}
  • id: 1030578
    {'charpoly_factorization': [[[7, -1, 1], 1]], 'hecke_orbit_code': 1099545182754, 'p': 7}
  • id: 1030579
    {'charpoly_factorization': [[[9, -3, 1], 1]], 'hecke_orbit_code': 1099545182754, 'p': 11}
  • id: 1030580
    {'charpoly_factorization': [[[13, 7, 1], 1]], 'hecke_orbit_code': 1099545182754, 'p': 13}
  • id: 1030581
    {'charpoly_factorization': [[[9, 3, 1], 1]], 'hecke_orbit_code': 1099545182754, 'p': 17}
  • id: 1030582
    {'charpoly_factorization': [[[49, -7, 1], 1]], 'hecke_orbit_code': 1099545182754, 'p': 19}
  • id: 1030583
    {'charpoly_factorization': [[[48, 12, 1], 1]], 'hecke_orbit_code': 1099545182754, 'p': 23}
  • id: 1030584
    {'charpoly_factorization': [[[3, -3, 1], 1]], 'hecke_orbit_code': 1099545182754, 'p': 29}
  • id: 1030585
    {'charpoly_factorization': [[[-4, 1], 2]], 'hecke_orbit_code': 1099545182754, 'p': 31}
  • id: 1030586
    {'charpoly_factorization': [[[48, 12, 1], 1]], 'hecke_orbit_code': 1099545182754, 'p': 37}
  • id: 1030587
    {'charpoly_factorization': [[[27, 9, 1], 1]], 'hecke_orbit_code': 1099545182754, 'p': 41}
  • id: 1030588
    {'charpoly_factorization': [[[64, -8, 1], 1]], 'hecke_orbit_code': 1099545182754, 'p': 43}
  • id: 1030589
    {'charpoly_factorization': [[[75, 0, 1], 1]], 'hecke_orbit_code': 1099545182754, 'p': 47}
  • id: 1030590
    {'charpoly_factorization': [[[75, 0, 1], 1]], 'hecke_orbit_code': 1099545182754, 'p': 53}
  • id: 1030591
    {'charpoly_factorization': [[[108, -18, 1], 1]], 'hecke_orbit_code': 1099545182754, 'p': 59}
  • id: 1030592
    {'charpoly_factorization': [[[27, 9, 1], 1]], 'hecke_orbit_code': 1099545182754, 'p': 61}
  • id: 1030593
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 1099545182754, 'p': 67}
  • id: 1030594
    {'charpoly_factorization': [[[36, 6, 1], 1]], 'hecke_orbit_code': 1099545182754, 'p': 71}
  • id: 1030595
    {'charpoly_factorization': [[[-4, 1], 2]], 'hecke_orbit_code': 1099545182754, 'p': 73}
  • id: 1030596
    {'charpoly_factorization': [[[11, 1], 2]], 'hecke_orbit_code': 1099545182754, 'p': 79}
  • id: 1030597
    {'charpoly_factorization': [[[192, 0, 1], 1]], 'hecke_orbit_code': 1099545182754, 'p': 83}
  • id: 1030598
    {'charpoly_factorization': [[[75, 15, 1], 1]], 'hecke_orbit_code': 1099545182754, 'p': 89}
  • id: 1030599
    {'charpoly_factorization': [[[4, 2, 1], 1]], 'hecke_orbit_code': 1099545182754, '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': 17, 'hecke_orbit': 1, 'label': '546.2.q.a', 'level': 546, 'portrait': 'data:image/png;base64,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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: 12188244
    {'hecke_orbit_code': 1099545182754, 'n': 1, 'trace_an': 2}
  • id: 12188245
    {'hecke_orbit_code': 1099545182754, 'n': 2, 'trace_an': -1}
  • id: 12188246
    {'hecke_orbit_code': 1099545182754, 'n': 3, 'trace_an': -3}
  • id: 12188247
    {'hecke_orbit_code': 1099545182754, 'n': 4, 'trace_an': -1}
  • id: 12188248
    {'hecke_orbit_code': 1099545182754, 'n': 5, 'trace_an': 0}
  • id: 12188249
    {'hecke_orbit_code': 1099545182754, 'n': 6, 'trace_an': 3}
  • id: 12188250
    {'hecke_orbit_code': 1099545182754, 'n': 7, 'trace_an': 1}
  • id: 12188251
    {'hecke_orbit_code': 1099545182754, 'n': 8, 'trace_an': 2}
  • id: 12188252
    {'hecke_orbit_code': 1099545182754, 'n': 9, 'trace_an': 3}
  • id: 12188253
    {'hecke_orbit_code': 1099545182754, 'n': 10, 'trace_an': 6}
  • id: 12188254
    {'hecke_orbit_code': 1099545182754, 'n': 11, 'trace_an': 3}
  • id: 12188255
    {'hecke_orbit_code': 1099545182754, 'n': 12, 'trace_an': 0}
  • id: 12188256
    {'hecke_orbit_code': 1099545182754, 'n': 13, 'trace_an': -7}
  • id: 12188257
    {'hecke_orbit_code': 1099545182754, 'n': 14, 'trace_an': 4}
  • id: 12188258
    {'hecke_orbit_code': 1099545182754, 'n': 15, 'trace_an': -6}
  • id: 12188259
    {'hecke_orbit_code': 1099545182754, 'n': 16, 'trace_an': -1}
  • id: 12188260
    {'hecke_orbit_code': 1099545182754, 'n': 17, 'trace_an': -3}
  • id: 12188261
    {'hecke_orbit_code': 1099545182754, 'n': 18, 'trace_an': -6}
  • id: 12188262
    {'hecke_orbit_code': 1099545182754, 'n': 19, 'trace_an': 7}
  • id: 12188263
    {'hecke_orbit_code': 1099545182754, 'n': 20, 'trace_an': -6}
  • id: 12188264
    {'hecke_orbit_code': 1099545182754, 'n': 21, 'trace_an': -6}
  • id: 12188265
    {'hecke_orbit_code': 1099545182754, 'n': 22, 'trace_an': 3}
  • id: 12188266
    {'hecke_orbit_code': 1099545182754, 'n': 23, 'trace_an': -12}
  • id: 12188267
    {'hecke_orbit_code': 1099545182754, 'n': 24, 'trace_an': -3}
  • id: 12188268
    {'hecke_orbit_code': 1099545182754, 'n': 25, 'trace_an': -14}
  • id: 12188269
    {'hecke_orbit_code': 1099545182754, 'n': 26, 'trace_an': 2}
  • id: 12188270
    {'hecke_orbit_code': 1099545182754, 'n': 27, 'trace_an': 0}
  • id: 12188271
    {'hecke_orbit_code': 1099545182754, 'n': 28, 'trace_an': -5}
  • id: 12188272
    {'hecke_orbit_code': 1099545182754, 'n': 29, 'trace_an': 3}
  • id: 12188273
    {'hecke_orbit_code': 1099545182754, 'n': 30, 'trace_an': -6}
  • id: 12188274
    {'hecke_orbit_code': 1099545182754, 'n': 31, 'trace_an': 8}
  • id: 12188275
    {'hecke_orbit_code': 1099545182754, 'n': 32, 'trace_an': -1}
  • id: 12188276
    {'hecke_orbit_code': 1099545182754, 'n': 33, 'trace_an': -9}
  • id: 12188277
    {'hecke_orbit_code': 1099545182754, 'n': 34, 'trace_an': 6}
  • id: 12188278
    {'hecke_orbit_code': 1099545182754, 'n': 35, 'trace_an': -18}
  • id: 12188279
    {'hecke_orbit_code': 1099545182754, 'n': 36, 'trace_an': 3}
  • id: 12188280
    {'hecke_orbit_code': 1099545182754, 'n': 37, 'trace_an': -12}
  • id: 12188281
    {'hecke_orbit_code': 1099545182754, 'n': 38, 'trace_an': -14}
  • id: 12188282
    {'hecke_orbit_code': 1099545182754, 'n': 39, 'trace_an': 12}
  • id: 12188283
    {'hecke_orbit_code': 1099545182754, 'n': 40, 'trace_an': 0}
  • id: 12188284
    {'hecke_orbit_code': 1099545182754, 'n': 41, 'trace_an': -9}
  • id: 12188285
    {'hecke_orbit_code': 1099545182754, 'n': 42, 'trace_an': -3}
  • id: 12188286
    {'hecke_orbit_code': 1099545182754, 'n': 43, 'trace_an': 8}
  • id: 12188287
    {'hecke_orbit_code': 1099545182754, 'n': 44, 'trace_an': -6}
  • id: 12188288
    {'hecke_orbit_code': 1099545182754, 'n': 45, 'trace_an': 18}
  • id: 12188289
    {'hecke_orbit_code': 1099545182754, 'n': 46, 'trace_an': 12}
  • id: 12188290
    {'hecke_orbit_code': 1099545182754, 'n': 47, 'trace_an': 0}
  • id: 12188291
    {'hecke_orbit_code': 1099545182754, 'n': 48, 'trace_an': 3}
  • id: 12188292
    {'hecke_orbit_code': 1099545182754, 'n': 49, 'trace_an': -13}
  • id: 12188293
    {'hecke_orbit_code': 1099545182754, 'n': 50, 'trace_an': 7}
  • id: 12188294
    {'hecke_orbit_code': 1099545182754, 'n': 51, 'trace_an': 0}
  • id: 12188295
    {'hecke_orbit_code': 1099545182754, 'n': 52, 'trace_an': 5}
  • id: 12188296
    {'hecke_orbit_code': 1099545182754, 'n': 53, 'trace_an': 0}
  • id: 12188297
    {'hecke_orbit_code': 1099545182754, 'n': 54, 'trace_an': 9}
  • id: 12188298
    {'hecke_orbit_code': 1099545182754, 'n': 55, 'trace_an': -18}
  • id: 12188299
    {'hecke_orbit_code': 1099545182754, 'n': 56, 'trace_an': 1}
  • id: 12188300
    {'hecke_orbit_code': 1099545182754, 'n': 57, 'trace_an': 0}
  • id: 12188301
    {'hecke_orbit_code': 1099545182754, 'n': 58, 'trace_an': -3}
  • id: 12188302
    {'hecke_orbit_code': 1099545182754, 'n': 59, 'trace_an': 18}
  • id: 12188303
    {'hecke_orbit_code': 1099545182754, 'n': 60, 'trace_an': 12}
  • id: 12188304
    {'hecke_orbit_code': 1099545182754, 'n': 61, 'trace_an': -9}
  • id: 12188305
    {'hecke_orbit_code': 1099545182754, 'n': 62, 'trace_an': -4}
  • id: 12188306
    {'hecke_orbit_code': 1099545182754, 'n': 63, 'trace_an': 15}
  • id: 12188307
    {'hecke_orbit_code': 1099545182754, 'n': 64, 'trace_an': 2}
  • id: 12188308
    {'hecke_orbit_code': 1099545182754, 'n': 65, 'trace_an': 6}
  • id: 12188309
    {'hecke_orbit_code': 1099545182754, 'n': 66, 'trace_an': 0}
  • id: 12188310
    {'hecke_orbit_code': 1099545182754, 'n': 67, 'trace_an': 0}
  • id: 12188311
    {'hecke_orbit_code': 1099545182754, 'n': 68, 'trace_an': -3}
  • id: 12188312
    {'hecke_orbit_code': 1099545182754, 'n': 69, 'trace_an': 12}
  • id: 12188313
    {'hecke_orbit_code': 1099545182754, 'n': 70, 'trace_an': 12}
  • id: 12188314
    {'hecke_orbit_code': 1099545182754, 'n': 71, 'trace_an': -6}
  • id: 12188315
    {'hecke_orbit_code': 1099545182754, 'n': 72, 'trace_an': 3}
  • id: 12188316
    {'hecke_orbit_code': 1099545182754, 'n': 73, 'trace_an': 8}
  • id: 12188317
    {'hecke_orbit_code': 1099545182754, 'n': 74, 'trace_an': 12}
  • id: 12188318
    {'hecke_orbit_code': 1099545182754, 'n': 75, 'trace_an': 21}
  • id: 12188319
    {'hecke_orbit_code': 1099545182754, 'n': 76, 'trace_an': 7}
  • id: 12188320
    {'hecke_orbit_code': 1099545182754, 'n': 77, 'trace_an': -12}
  • id: 12188321
    {'hecke_orbit_code': 1099545182754, 'n': 78, 'trace_an': -9}
  • id: 12188322
    {'hecke_orbit_code': 1099545182754, 'n': 79, 'trace_an': -22}
  • id: 12188323
    {'hecke_orbit_code': 1099545182754, 'n': 80, 'trace_an': 6}
  • id: 12188324
    {'hecke_orbit_code': 1099545182754, 'n': 81, 'trace_an': -9}
  • id: 12188325
    {'hecke_orbit_code': 1099545182754, 'n': 82, 'trace_an': 9}
  • id: 12188326
    {'hecke_orbit_code': 1099545182754, 'n': 83, 'trace_an': 0}
  • id: 12188327
    {'hecke_orbit_code': 1099545182754, 'n': 84, 'trace_an': 9}
  • id: 12188328
    {'hecke_orbit_code': 1099545182754, 'n': 85, 'trace_an': -18}
  • id: 12188329
    {'hecke_orbit_code': 1099545182754, 'n': 86, 'trace_an': -16}
  • id: 12188330
    {'hecke_orbit_code': 1099545182754, 'n': 87, 'trace_an': -3}
  • id: 12188331
    {'hecke_orbit_code': 1099545182754, 'n': 88, 'trace_an': 3}
  • id: 12188332
    {'hecke_orbit_code': 1099545182754, 'n': 89, 'trace_an': -15}
  • id: 12188333
    {'hecke_orbit_code': 1099545182754, 'n': 90, 'trace_an': 0}
  • id: 12188334
    {'hecke_orbit_code': 1099545182754, 'n': 91, 'trace_an': 1}
  • id: 12188335
    {'hecke_orbit_code': 1099545182754, 'n': 92, 'trace_an': 0}
  • id: 12188336
    {'hecke_orbit_code': 1099545182754, 'n': 93, 'trace_an': -12}
  • id: 12188337
    {'hecke_orbit_code': 1099545182754, 'n': 94, 'trace_an': -15}
  • id: 12188338
    {'hecke_orbit_code': 1099545182754, 'n': 95, 'trace_an': 42}
  • id: 12188339
    {'hecke_orbit_code': 1099545182754, 'n': 96, 'trace_an': 0}
  • id: 12188340
    {'hecke_orbit_code': 1099545182754, 'n': 97, 'trace_an': -2}
  • id: 12188341
    {'hecke_orbit_code': 1099545182754, 'n': 98, 'trace_an': 11}
  • id: 12188342
    {'hecke_orbit_code': 1099545182754, 'n': 99, 'trace_an': 18}
  • id: 12188343
    {'hecke_orbit_code': 1099545182754, 'n': 100, 'trace_an': 7}