Newform data - 980.2.a.i

Formats: - HTML - YAML - JSON - 2025-03-17T04:59:54.068859

• 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': 3920, 'analytic_conductor': 7.825339398085478, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [5, -1], [7, -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': [980, 1, [491, 197, 101], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[3, [-3, 1]], [11, [2, 1]]], 'hecke_orbit': 9, 'hecke_orbit_code': 36028797052519380, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '980.2.a.i', 'level': 980, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5, 7], 'level_radical': 70, 'minimal_twist': '140.2.i.b', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+3q^{3}+q^{5}+6q^{9}-2q^{11}+6q^{13}+\\cdots', 'related_objects': ['EllipticCurve/Q/980/i'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '980.2.a', 'trace_display': [0, 3, 1, 0], 'trace_hash': 2026923759396240307, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.968', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.876', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.589', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.011', 'prec': 17}, 'traces': [1, 0, 3, 0, 1, 0, 0, 0, 6, 0, -2, 0, 6, 0, 3, 0, -2, 0, 0, 0, 0, 0, -9, 0, 1, 0, 9, 0, 3, 0, -2, 0, -6, 0, 0, 0, 8, 0, 18, 0, -5, 0, 1, 0, 6, 0, -8, 0, 0, 0, -6, 0, 4, 0, -2, 0, 0, 0, 8, 0, -7, 0, 0, 0, 6, 0, -3, 0, -27, 0, 8, 0, -14, 0, 3, 0, 0, 0, 4, 0, 9, 0, 1, 0, -2, 0, 9, 0, -13, 0, 0, 0, -6, 0, 0, 0, 10, 0, -12, 0, 3, 0, -13, 0, 0, 0, -15, 0, 9, 0, 24, 0, -4, 0, -9, 0, 36, 0, 0, 0, -7, 0, -15, 0, 1, 0, 16, 0, 3, 0, 4, 0, 0, 0, 9, 0, -12, 0, -10, 0, -24, 0, -12, 0, 3, 0, 0, 0, 9, 0, -10, 0, -12, 0, -2, 0, 2, 0, 12, 0, 0, 0, 8, 0, -6, 0, 9, 0, 23, 0, 0, 0, 16, 0, 0, 0, 24, 0, -6, 0, -1, 0, -21, 0, 8, 0, 4, 0, 0, 0, 6, 0, 2, 0, 18, 0, 14, 0, -20, 0, -9, 0, 0, 0, -5, 0, -54, 0, 0, 0, 4, 0, 24, 0, 1, 0, 0, 0, -42, 0, -12, 0, -16, 0, 6, 0, 4, 0, 14, 0, 0, 0, -18, 0, -8, 0, 12, 0, -26, 0, -10, 0, 0, 0, 0, 0, 0, 0, 3, 0, -30, 0, 18, 0, -6, 0, -8, 0, 0, 0, 18, 0, 17, 0, 4, 0, -39, 0, -9, 0, 24, 0, 0, 0, -2, 0, 18, 0, -12, 0, -22, 0, 4, 0, 0, 0, 0, 0, -13, 0, 30, 0, -4, 0, 8, 0, -18, 0, -54, 0, 0, 0, 9, 0, -7, 0, -1, 0, -39, 0, -24, 0, 4, 0, 0, 0, 10, 0, -6, 0, -45, 0, 0, 0, 6, 0, 27, 0, 0, 0, 10, 0, 48, 0, -3, 0, 28, 0, -12, 0, 4, 0, 0, 0, -27, 0, 25, 0, 17, 0, 54, 0, 36, 0, 8, 0, 0, 0, -10, 0, -19, 0, -21, 0, -14, 0, -1, 0, -30, 0, 0, 0, 32, 0, 3, 0, 18, 0, 0, 0, 48, 0, 9, 0, 0, 0, 6, 0, -10, 0, 18, 0, 12, 0, 4, 0, -10, 0, 0, 0, -29, 0, -12, 0, 9, 0, -16, 0, -3, 0, -36, 0, 0, 0, 1, 0, -30, 0, 24, 0, -1, 0, -48, 0, -2, 0, 0, 0, -36, 0, 6, 0, 4, 0, 9, 0, 0, 0, -4, 0, 0, 0, 37, 0, -13, 0, 27, 0, 15, 0, 10, 0, -30, 0, 0, 0, 28, 0, -18, 0, 2, 0, 17, 0, -6, 0, -5, 0, 0, 0, 6, 0, -2, 0, 0, 0, 24, 0, 30, 0, 48, 0, 0, 0, 10, 0, 32, 0, 24, 0, 6, 0, -6, 0, -12, 0, 0, 0, -6, 0, 27, 0, -27, 0, 3, 0, 69, 0, 41, 0, 0, 0, 0, 0, -13, 0, 16, 0, 48, 0, -14, 0, -4, 0, 0, 0, 4, 0, 58, 0, 48, 0, -30, 0, -15, 0, -18, 0, 0, 0, 33, 0, -3, 0, 9, 0, -15, 0, -42, 0, 0, 0, 0, 0, 24, 0, -2, 0, 6, 0, 12, 0, 13, 0, -4, 0, 0, 0, 30, 0, 24, 0, 18, 0, -9, 0, -22, 0, 6, 0, 0, 0, -8, 0, 36, 0, -20, 0, 0, 0, 42, 0, 36, 0, 0, 0, -60, 0, 0, 0, 6, 0, -18, 0, -7, 0, -1, 0, 0, 0, -48, 0, -6, 0, -15, 0, 20, 0, 10, 0, -81, 0, 0, 0, 1, 0, 0, 0, -16, 0, -34, 0, 12, 0, 16, 0, 0, 0, 48, 0, -31, 0, 20, 0, 3, 0, -1, 0, -16, 0, 0, 0, -34, 0, 4, 0, -84, 0, 4, 0, -31, 0, -36, 0, 0, 0, -27, 0, -48, 0, 14, 0, 16, 0, 9, 0, -6, 0, 0, 0, 12, 0, 29, 0, -12, 0, 42, 0, 24, 0, 26, 0, 0, 0, -10, 0, 10, 0, -54, 0, -29, 0, 0, 0, -24, 0, 0, 0, 31, 0, 24, 0, 18, 0, -12, 0, -78, 0, 6, 0, 0, 0, -30, 0, 3, 0, -3, 0, -27, 0, -2, 0, -34, 0, 0, 0, 6, 0, 10, 0, 0, 0, -3, 0, 9, 0, 6, 0, 0, 0, 20, 0, -90, 0, -10, 0, -38, 0, 54, 0, -30, 0, 0, 0, -12, 0, 48, 0, 2, 0, -24, 0, 18, 0, -2, 0, 0, 0, 0, 0, -16, 0, 27, 0, 2, 0, 11, 0, 51, 0, 0, 0, -42, 0, 12, 0, -36, 0, 16, 0, -78, 0, 28, 0, 0, 0, -27, 0, 45, 0, -50, 0, 72, 0, 8, 0, 0, 0, 0, 0, 18, 0, 19, 0, -6, 0, 23, 0, 10, 0, 54, 0, 0, 0, 9, 0, -18, 0, -14, 0, -20, 0, -66, 0, 23, 0, 0, 0, 12, 0, -72, 0, 40, 0, 0, 0, 54, 0, 36, 0, 0, 0, 37, 0, 16, 0, -39, 0, -8, 0, -18, 0, 60, 0, 0, 0, 32, 0, -12, 0, 31, 0, -36, 0, 24, 0, -53, 0, 0, 0, -18, 0, 0, 0, -6, 0, -162, 0, -6, 0, -8, 0, 0, 0, -1, 0, -37, 0, 18, 0, 54, 0, -2, 0, -21, 0, 0, 0, 32, 0, -3, 0, 48, 0, 8, 0, -78, 0, 5, 0, 0, 0, -72, 0, 4, 0, 52, 0, 12, 0, -38, 0, 45, 0, 0, 0, 29, 0, -84, 0, 30, 0, -60, 0, 6, 0, -18, 0, 0, 0, -27, 0, -90, 0, 2, 0, 37, 0, 0, 0, 12, 0, 0, 0, 18, 0, -6, 0, 26, 0, 54, 0, 19, 0, 14, 0, 0, 0, -9, 0, -38, 0, 30, 0, -20, 0, 40, 0, 72, 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], [3], [0], [1], [0], [0], [0], [6], [0], [-2], [0], [6], [0], [3], [0], [-2], [0], [0], [0], [0], [0], [-9], [0], [1], [0], [9], [0], [3], [0], [-2], [0], [-6], [0], [0], [0], [8], [0], [18], [0], [-5], [0], [1], [0], [6], [0], [-8], [0], [0], [0], [-6], [0], [4], [0], [-2], [0], [0], [0], [8], [0], [-7], [0], [0], [0], [6], [0], [-3], [0], [-27], [0], [8], [0], [-14], [0], [3], [0], [0], [0], [4], [0], [9], [0], [1], [0], [-2], [0], [9], [0], [-13], [0], [0], [0], [-6], [0], [0], [0], [10], [0], [-12], [0]], 'ap': [[0], [3], [1], [0], [-2], [6], [-2], [0], [-9], [3], [-2], [8], [-5], [1], [-8], [4], [8], [-7], [-3], [8], [-14], [4], [1], [-13], [10], [3], [-13], [-15], [9], [-4], [16], [4], [-12], [-10], [9], [-10], [2], [8], [9], [16], [-6], [-1], [6], [2], [14], [-20], [4], [-16], [4], [14], [-18], [-26], [-10], [-30], [-8], [17], [-9], [24], [18], [-22], [4], [-4], [-1], [-24], [4], [10], [10], [28], [25], [17], [36], [-10], [-1], [32], [0], [9], [-10], [-10], [-29], [-3], [24], [-1], [6], [4], [-4], [37], [15], [28], [2], [17], [-5], [30], [32], [6], [-6], [-27], [41], [-14], [-4], [33], [-15], [-2], [13], [30], [24], [-22], [-20], [36], [0], [6], [-1], [-6], [20], [10], [-34], [-31], [20], [-1], [-34], [4], [-31], [16], [-6], [29], [26], [-29], [31], [6], [-3], [-34], [10], [-3], [20], [-38], [-30], [2], [18], [11], [-36], [45], [-50], [18], [19], [23], [10], [-14], [40], [54], [36], [37], [32], [31], [-36], [-53], [-37], [54], [32], [5], [52], [-38], [29], [-60], [37], [12], [-6], [19], [-38], [40]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 36028797052519380, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '980.2.a.i', 'level': 980, 'maxp': 997, 'weight': 2}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'ALdims': [0, 0, 0, 0, 4, 2, 2, 5], 'Nk2': 3920, 'analytic_conductor': 7.825339398085478, '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': [980, 1, [491, 197, 101], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 145, 'dim': 13, 'eis_dim': 47, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 11], 'hecke_orbit_code': 33555412, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2], 'label': '980.2.a', 'level': 980, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5, 7], 'level_radical': 70, 'mf_dim': 192, 'mf_new_dim': 13, 'num_forms': 11, 'plus_dim': 4, 'prim_orbit_index': 1, 'relative_dim': 13, 'sturm_bound': 336, 'trace_bound': 11, 'trace_display': [0, -2, 1, 0], 'traces': [13, 0, -2, 0, 1, 0, 0, 0, 9, 0, 0, 0, 2, 0, -2, 0, 10, 0, -4, 0, 0, 0, -6, 0, 13, 0, -8, 0, 10, 0, 0, 0, 12, 0, 0, 0, 34, 0, 44, 0, -2, 0, 34, 0, 9, 0, 10, 0, 0, 0, -4, 0, -6, 0, -8, 0, -8, 0, -16, 0, -2, 0, 0, 0, -2, 0, 14, 0, 0, 0, 4, 0, -18, 0, -2, 0, 0, 0, 0, 0, 17, 0, 10, 0, -10, 0, 48, 0, -10, 0, 0, 0, 32, 0, 4, 0, -6, 0, -48, 0, -6, 0, -26, 0, 0, 0, -74, 0, 46, 0, 8, 0, 10, 0, 18, 0, 14, 0, 0, 0, 9, 0, -64, 0, 1, 0, 2, 0, -52, 0, 28, 0, 0, 0, 16, 0, -14, 0, 16, 0, 4, 0, -12, 0, 6, 0, 0, 0, -2, 0, -76, 0, 6, 0, -20, 0, 46, 0, -24, 0, 0, 0, -42, 0, -16, 0, -30, 0, 83, 0, -28, 0, 10, 0, 0, 0, 40, 0, -84, 0, 22, 0, -32, 0, 14, 0, 4, 0, 0, 0, 20, 0, 2, 0, -12, 0, -54, 0, -36, 0, -40, 0, 0, 0, 6, 0, -34, 0, 24, 0, -40, 0, -48, 0, -2, 0, 0, 0, -60, 0, 28, 0, -2, 0, 9, 0, 34, 0, -2, 0, 0, 0, -46, 0, -2, 0, -28, 0, 40, 0, 22, 0, -26, 0, 0, 0, -8, 0, -64, 0, -36, 0, 40, 0, 12, 0, -2, 0, 0, 0, -82, 0, 58, 0, -2, 0, -136, 0, -54, 0, -4, 0, 0, 0, 0, 0, 18, 0, 44, 0, -90, 0, 6, 0, 24, 0, 0, 0, 15, 0, -52, 0, 50, 0, -12, 0, 60, 0, 0, 0, 0, 0, 0, 0, -14, 0, 34, 0, -64, 0, -12, 0, 42, 0, 0, 0, 50, 0, -32, 0, 12, 0, -104, 0, 2, 0, 32, 0, 0, 0, 80, 0, 82, 0, 6, 0, 82, 0, -48, 0, -44, 0, 0, 0, -80, 0, -2, 0, 10, 0, 136, 0, -6, 0, -4, 0, 0, 0, -16, 0, 153, 0, -62, 0, -10, 0, 34, 0, 18, 0, 0, 0, 106, 0, -2, 0, -48, 0, 68, 0, 8, 0, -78, 0, 0, 0, -18, 0, -70, 0, 24, 0, -64, 0, 16, 0, -14, 0, 0, 0, -58, 0, 88, 0, -3, 0, 32, 0, 2, 0, 60, 0, 0, 0, 22, 0, -16, 0, -48, 0, 78, 0, 6, 0, 10, 0, 0, 0, 72, 0, 20, 0, -18, 0, 64, 0, 0, 0, 4, 0, 0, 0, -14, 0, -14, 0, -12, 0, 90, 0, -20, 0, 44, 0, 0, 0, -6, 0, 24, 0, -70, 0, 106, 0, -12, 0, 10, 0, 0, 0, -12, 0, -72, 0, -4, 0, -22, 0, 12, 0, -8, 0, 0, 0, 62, 0, 58, 0, 8, 0, -80, 0, 0, 0, -24, 0, 0, 0, -20, 0, 32, 0, 54, 0, 22, 0, 6, 0, -10, 0, 0, 0, 32, 0, -50, 0, 4, 0, 68, 0, 22, 0, -38, 0, 0, 0, 104, 0, 45, 0, 60, 0, 100, 0, -6, 0, 0, 0, 0, 0, 74, 0, 64, 0, 18, 0, 38, 0, 62, 0, 96, 0, 0, 0, 4, 0, 90, 0, 52, 0, 8, 0, 58, 0, 14, 0, 0, 0, -10, 0, 40, 0, -36, 0, -6, 0, -38, 0, 68, 0, 0, 0, 96, 0, 62, 0, 46, 0, -64, 0, 0, 0, 42, 0, 0, 0, -80, 0, 104, 0, 2, 0, 74, 0, 5, 0, 10, 0, 0, 0, 44, 0, -134, 0, -24, 0, 26, 0, 0, 0, -108, 0, 0, 0, 13, 0, -32, 0, -16, 0, -60, 0, -4, 0, -26, 0, 0, 0, 36, 0, -110, 0, -74, 0, -40, 0, -82, 0, -76, 0, 0, 0, -238, 0, 16, 0, 14, 0, -68, 0, 46, 0, -36, 0, 0, 0, -48, 0, 28, 0, -64, 0, -62, 0, -8, 0, -6, 0, 0, 0, -92, 0, 130, 0, -6, 0, 60, 0, 24, 0, -8, 0, 0, 0, -20, 0, 36, 0, -108, 0, -58, 0, 16, 0, 12, 0, 0, 0, 34, 0, 24, 0, 96, 0, -72, 0, -60, 0, 36, 0, 0, 0, -20, 0, 10, 0, -10, 0, -87, 0, -44, 0, 82, 0, 0, 0, -40, 0, 20, 0, 40, 0, -94, 0, -30, 0, -6, 0, 0, 0, 84, 0, -168, 0, 44, 0, 50, 0, 108, 0, 18, 0, 0, 0, -10, 0, 24, 0, -26, 0, 76, 0, -30, 0, 0, 0, 0, 0, -24, 0, -160, 0, 12, 0, -2, 0, -62, 0, -12, 0, 0, 0, 188, 0, 36, 0, -6, 0, 28, 0, 6, 0, -32, 0, 0, 0, -8, 0, 102, 0, 36, 0, -24, 0, -22, 0, -104, 0, 0, 0, 138, 0, 10, 0, 12, 0, 54, 0, 66, 0, 56, 0, 0, 0, 2, 0, -152, 0, 28, 0, 7, 0, 0, 0, -1, 0, 0, 0, -164, 0, -84, 0, -18, 0, 36, 0, -42, 0, -28, 0, 0, 0, 18, 0, -18, 0, 94, 0, -248, 0, 40, 0, 110, 0, 0, 0, -6, 0, -44, 0, -62, 0, -146, 0, -60, 0, 22, 0, 0, 0, -160, 0, -136, 0, -36, 0, -240, 0, 60, 0, -32, 0, 0, 0, -42, 0, -90, 0, -54, 0, 100, 0, 16, 0, -36, 0, 0, 0, 24, 0, -56, 0, 48, 0, 34, 0, -142, 0, 38, 0, 0, 0, -312, 0, 104, 0, 66, 0, -108, 0, -14, 0, -12, 0, 0, 0, -2, 0, 52, 0, 84, 0, 58, 0, -12, 0, -108, 0, 0, 0, -131, 0, -238, 0, 26, 0, 102, 0, 72, 0, 12, 0, 0, 0, 44, 0, -246, 0, -16, 0, 106, 0, 94, 0, 14, 0, 0, 0, 32, 0, 52, 0, -88, 0, 24, 0, -54, 0, -76, 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: 603077
    {'conductor': 7, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '980.2.a.i', 'source_level': 980, 'target_char_orbit': 9, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '140.2.i.b', 'target_level': 140, 'twist_class_label': '140.2.i.b', 'twist_class_level': 140, 'twisting_char_label': '7.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 603078
    {'conductor': 28, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '980.2.a.i', 'source_level': 980, 'target_char_orbit': 17, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '560.2.q.a', 'target_level': 560, 'twist_class_label': '140.2.i.b', 'twist_class_level': 140, 'twisting_char_label': '28.f', 'twisting_char_orbit': 6, 'weight': 2}
  • id: 603079
    {'conductor': 35, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '980.2.a.i', 'source_level': 980, 'target_char_orbit': 9, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '700.2.i.a', 'target_level': 700, 'twist_class_label': '140.2.i.b', 'twist_class_level': 140, 'twisting_char_label': '35.i', 'twisting_char_orbit': 9, 'weight': 2}
  • id: 603080
    {'conductor': 35, 'degree': 4, 'multiplicity': 4, 'order': 12, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '980.2.a.i', 'source_level': 980, 'target_char_orbit': 18, 'target_dim': 4, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '700.2.r.c', 'target_level': 700, 'twist_class_label': '140.2.i.b', 'twist_class_level': 140, 'twisting_char_label': '35.k', 'twisting_char_orbit': 11, 'weight': 2}
  • id: 603081
    {'conductor': 7, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '980.2.a.i', 'source_level': 980, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '980.2.a.a', 'target_level': 980, 'twist_class_label': '140.2.i.b', 'twist_class_level': 140, 'twisting_char_label': '7.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 603082
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '980.2.a.i', 'source_level': 980, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 9, 'target_is_minimal': False, 'target_label': '980.2.a.i', 'target_level': 980, 'twist_class_label': '140.2.i.b', 'twist_class_level': 140, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 603083
    {'conductor': 7, 'degree': 2, 'multiplicity': 2, 'order': 3, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '980.2.a.i', 'source_level': 980, 'target_char_orbit': 9, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '980.2.i.a', 'target_level': 980, 'twist_class_label': '140.2.i.b', 'twist_class_level': 140, 'twisting_char_label': '7.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 603084
    {'conductor': 21, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '980.2.a.i', 'source_level': 980, 'target_char_orbit': 19, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '1260.2.s.b', 'target_level': 1260, 'twist_class_label': '140.2.i.b', 'twist_class_level': 140, 'twisting_char_label': '21.g', 'twisting_char_orbit': 7, 'weight': 2}
  • id: 603085
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '980.2.a.i', 'source_level': 980, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '3920.2.a.d', 'target_level': 3920, 'twist_class_label': '140.2.i.b', 'twist_class_level': 140, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 603086
    {'conductor': 28, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '980.2.a.i', 'source_level': 980, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 35, 'target_is_minimal': False, 'target_label': '3920.2.a.bi', 'target_level': 3920, 'twist_class_label': '140.2.i.b', 'twist_class_level': 140, 'twisting_char_label': '28.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 603087
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '980.2.a.i', 'source_level': 980, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '4900.2.a.a', 'target_level': 4900, 'twist_class_label': '140.2.i.b', 'twist_class_level': 140, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 603088
    {'conductor': 35, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '980.2.a.i', 'source_level': 980, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 22, 'target_is_minimal': False, 'target_label': '4900.2.a.v', 'target_level': 4900, 'twist_class_label': '140.2.i.b', 'twist_class_level': 140, 'twisting_char_label': '35.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 603089
    {'conductor': 5, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '980.2.a.i', 'source_level': 980, 'target_char_orbit': 5, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '4900.2.e.b', 'target_level': 4900, 'twist_class_label': '140.2.i.b', 'twist_class_level': 140, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 603090
    {'conductor': 35, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '980.2.a.i', 'source_level': 980, 'target_char_orbit': 5, 'target_dim': 2, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '4900.2.e.c', 'target_level': 4900, 'twist_class_label': '140.2.i.b', 'twist_class_level': 140, 'twisting_char_label': '35.f', 'twisting_char_orbit': 6, 'weight': 2}
  • id: 603091
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '980.2.a.i', 'source_level': 980, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 11, 'target_is_minimal': False, 'target_label': '8820.2.a.k', 'target_level': 8820, 'twist_class_label': '140.2.i.b', 'twist_class_level': 140, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 603092
    {'conductor': 21, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '980.2.a.i', 'source_level': 980, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 23, 'target_is_minimal': False, 'target_label': '8820.2.a.w', 'target_level': 8820, 'twist_class_label': '140.2.i.b', 'twist_class_level': 140, '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: 1565900
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 36028797052519380, 'p': 2}
  • id: 1565901
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 36028797052519380, 'p': 3}
  • id: 1565902
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 36028797052519380, 'p': 5}
  • id: 1565903
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 36028797052519380, 'p': 7}
  • id: 1565904
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 36028797052519380, 'p': 11}
  • id: 1565905
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 36028797052519380, 'p': 13}
  • id: 1565906
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 36028797052519380, 'p': 17}
  • id: 1565907
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 36028797052519380, 'p': 19}
  • id: 1565908
    {'charpoly_factorization': [[[9, 1], 1]], 'hecke_orbit_code': 36028797052519380, 'p': 23}
  • id: 1565909
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 36028797052519380, 'p': 29}
  • id: 1565910
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 36028797052519380, 'p': 31}
  • id: 1565911
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 36028797052519380, 'p': 37}
  • id: 1565912
    {'charpoly_factorization': [[[5, 1], 1]], 'hecke_orbit_code': 36028797052519380, 'p': 41}
  • id: 1565913
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 36028797052519380, 'p': 43}
  • id: 1565914
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 36028797052519380, 'p': 47}
  • id: 1565915
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 36028797052519380, 'p': 53}
  • id: 1565916
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 36028797052519380, 'p': 59}
  • id: 1565917
    {'charpoly_factorization': [[[7, 1], 1]], 'hecke_orbit_code': 36028797052519380, 'p': 61}
  • id: 1565918
    {'charpoly_factorization': [[[3, 1], 1]], 'hecke_orbit_code': 36028797052519380, 'p': 67}
  • id: 1565919
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 36028797052519380, 'p': 71}
  • id: 1565920
    {'charpoly_factorization': [[[14, 1], 1]], 'hecke_orbit_code': 36028797052519380, 'p': 73}
  • id: 1565921
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 36028797052519380, 'p': 79}
  • id: 1565922
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 36028797052519380, 'p': 83}
  • id: 1565923
    {'charpoly_factorization': [[[13, 1], 1]], 'hecke_orbit_code': 36028797052519380, 'p': 89}
  • id: 1565924
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 36028797052519380, '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': 9, 'label': '980.2.a.i', 'level': 980, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 50343775
    {'hecke_orbit_code': 36028797052519380, 'n': 1, 'trace_an': 1}
  • id: 50343776
    {'hecke_orbit_code': 36028797052519380, 'n': 2, 'trace_an': 0}
  • id: 50343777
    {'hecke_orbit_code': 36028797052519380, 'n': 3, 'trace_an': 3}
  • id: 50343778
    {'hecke_orbit_code': 36028797052519380, 'n': 4, 'trace_an': 0}
  • id: 50343779
    {'hecke_orbit_code': 36028797052519380, 'n': 5, 'trace_an': 1}
  • id: 50343780
    {'hecke_orbit_code': 36028797052519380, 'n': 6, 'trace_an': 0}
  • id: 50343781
    {'hecke_orbit_code': 36028797052519380, 'n': 7, 'trace_an': 0}
  • id: 50343782
    {'hecke_orbit_code': 36028797052519380, 'n': 8, 'trace_an': 0}
  • id: 50343783
    {'hecke_orbit_code': 36028797052519380, 'n': 9, 'trace_an': 6}
  • id: 50343784
    {'hecke_orbit_code': 36028797052519380, 'n': 10, 'trace_an': 0}
  • id: 50343785
    {'hecke_orbit_code': 36028797052519380, 'n': 11, 'trace_an': -2}
  • id: 50343786
    {'hecke_orbit_code': 36028797052519380, 'n': 12, 'trace_an': 0}
  • id: 50343787
    {'hecke_orbit_code': 36028797052519380, 'n': 13, 'trace_an': 6}
  • id: 50343788
    {'hecke_orbit_code': 36028797052519380, 'n': 14, 'trace_an': 0}
  • id: 50343789
    {'hecke_orbit_code': 36028797052519380, 'n': 15, 'trace_an': 3}
  • id: 50343790
    {'hecke_orbit_code': 36028797052519380, 'n': 16, 'trace_an': 0}
  • id: 50343791
    {'hecke_orbit_code': 36028797052519380, 'n': 17, 'trace_an': -2}
  • id: 50343792
    {'hecke_orbit_code': 36028797052519380, 'n': 18, 'trace_an': 0}
  • id: 50343793
    {'hecke_orbit_code': 36028797052519380, 'n': 19, 'trace_an': 0}
  • id: 50343794
    {'hecke_orbit_code': 36028797052519380, 'n': 20, 'trace_an': 0}
  • id: 50343795
    {'hecke_orbit_code': 36028797052519380, 'n': 21, 'trace_an': 0}
  • id: 50343796
    {'hecke_orbit_code': 36028797052519380, 'n': 22, 'trace_an': 0}
  • id: 50343797
    {'hecke_orbit_code': 36028797052519380, 'n': 23, 'trace_an': -9}
  • id: 50343798
    {'hecke_orbit_code': 36028797052519380, 'n': 24, 'trace_an': 0}
  • id: 50343799
    {'hecke_orbit_code': 36028797052519380, 'n': 25, 'trace_an': 1}
  • id: 50343800
    {'hecke_orbit_code': 36028797052519380, 'n': 26, 'trace_an': 0}
  • id: 50343801
    {'hecke_orbit_code': 36028797052519380, 'n': 27, 'trace_an': 9}
  • id: 50343802
    {'hecke_orbit_code': 36028797052519380, 'n': 28, 'trace_an': 0}
  • id: 50343803
    {'hecke_orbit_code': 36028797052519380, 'n': 29, 'trace_an': 3}
  • id: 50343804
    {'hecke_orbit_code': 36028797052519380, 'n': 30, 'trace_an': 0}
  • id: 50343805
    {'hecke_orbit_code': 36028797052519380, 'n': 31, 'trace_an': -2}
  • id: 50343806
    {'hecke_orbit_code': 36028797052519380, 'n': 32, 'trace_an': 0}
  • id: 50343807
    {'hecke_orbit_code': 36028797052519380, 'n': 33, 'trace_an': -6}
  • id: 50343808
    {'hecke_orbit_code': 36028797052519380, 'n': 34, 'trace_an': 0}
  • id: 50343809
    {'hecke_orbit_code': 36028797052519380, 'n': 35, 'trace_an': 0}
  • id: 50343810
    {'hecke_orbit_code': 36028797052519380, 'n': 36, 'trace_an': 0}
  • id: 50343811
    {'hecke_orbit_code': 36028797052519380, 'n': 37, 'trace_an': 8}
  • id: 50343812
    {'hecke_orbit_code': 36028797052519380, 'n': 38, 'trace_an': 0}
  • id: 50343813
    {'hecke_orbit_code': 36028797052519380, 'n': 39, 'trace_an': 18}
  • id: 50343814
    {'hecke_orbit_code': 36028797052519380, 'n': 40, 'trace_an': 0}
  • id: 50343815
    {'hecke_orbit_code': 36028797052519380, 'n': 41, 'trace_an': -5}
  • id: 50343816
    {'hecke_orbit_code': 36028797052519380, 'n': 42, 'trace_an': 0}
  • id: 50343817
    {'hecke_orbit_code': 36028797052519380, 'n': 43, 'trace_an': 1}
  • id: 50343818
    {'hecke_orbit_code': 36028797052519380, 'n': 44, 'trace_an': 0}
  • id: 50343819
    {'hecke_orbit_code': 36028797052519380, 'n': 45, 'trace_an': 6}
  • id: 50343820
    {'hecke_orbit_code': 36028797052519380, 'n': 46, 'trace_an': 0}
  • id: 50343821
    {'hecke_orbit_code': 36028797052519380, 'n': 47, 'trace_an': -8}
  • id: 50343822
    {'hecke_orbit_code': 36028797052519380, 'n': 48, 'trace_an': 0}
  • id: 50343823
    {'hecke_orbit_code': 36028797052519380, 'n': 49, 'trace_an': 0}
  • id: 50343824
    {'hecke_orbit_code': 36028797052519380, 'n': 50, 'trace_an': 0}
  • id: 50343825
    {'hecke_orbit_code': 36028797052519380, 'n': 51, 'trace_an': -6}
  • id: 50343826
    {'hecke_orbit_code': 36028797052519380, 'n': 52, 'trace_an': 0}
  • id: 50343827
    {'hecke_orbit_code': 36028797052519380, 'n': 53, 'trace_an': 4}
  • id: 50343828
    {'hecke_orbit_code': 36028797052519380, 'n': 54, 'trace_an': 0}
  • id: 50343829
    {'hecke_orbit_code': 36028797052519380, 'n': 55, 'trace_an': -2}
  • id: 50343830
    {'hecke_orbit_code': 36028797052519380, 'n': 56, 'trace_an': 0}
  • id: 50343831
    {'hecke_orbit_code': 36028797052519380, 'n': 57, 'trace_an': 0}
  • id: 50343832
    {'hecke_orbit_code': 36028797052519380, 'n': 58, 'trace_an': 0}
  • id: 50343833
    {'hecke_orbit_code': 36028797052519380, 'n': 59, 'trace_an': 8}
  • id: 50343834
    {'hecke_orbit_code': 36028797052519380, 'n': 60, 'trace_an': 0}
  • id: 50343835
    {'hecke_orbit_code': 36028797052519380, 'n': 61, 'trace_an': -7}
  • id: 50343836
    {'hecke_orbit_code': 36028797052519380, 'n': 62, 'trace_an': 0}
  • id: 50343837
    {'hecke_orbit_code': 36028797052519380, 'n': 63, 'trace_an': 0}
  • id: 50343838
    {'hecke_orbit_code': 36028797052519380, 'n': 64, 'trace_an': 0}
  • id: 50343839
    {'hecke_orbit_code': 36028797052519380, 'n': 65, 'trace_an': 6}
  • id: 50343840
    {'hecke_orbit_code': 36028797052519380, 'n': 66, 'trace_an': 0}
  • id: 50343841
    {'hecke_orbit_code': 36028797052519380, 'n': 67, 'trace_an': -3}
  • id: 50343842
    {'hecke_orbit_code': 36028797052519380, 'n': 68, 'trace_an': 0}
  • id: 50343843
    {'hecke_orbit_code': 36028797052519380, 'n': 69, 'trace_an': -27}
  • id: 50343844
    {'hecke_orbit_code': 36028797052519380, 'n': 70, 'trace_an': 0}
  • id: 50343845
    {'hecke_orbit_code': 36028797052519380, 'n': 71, 'trace_an': 8}
  • id: 50343846
    {'hecke_orbit_code': 36028797052519380, 'n': 72, 'trace_an': 0}
  • id: 50343847
    {'hecke_orbit_code': 36028797052519380, 'n': 73, 'trace_an': -14}
  • id: 50343848
    {'hecke_orbit_code': 36028797052519380, 'n': 74, 'trace_an': 0}
  • id: 50343849
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  • id: 50343850
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  • id: 50343851
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  • id: 50343852
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  • id: 50343853
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  • id: 50343854
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  • id: 50343855
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  • id: 50343856
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  • id: 50343857
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  • id: 50343858
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  • id: 50343859
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  • id: 50343860
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  • id: 50343861
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  • id: 50343862
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  • id: 50343863
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  • id: 50343864
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  • id: 50343865
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  • id: 50343866
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  • id: 50343867
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  • id: 50343868
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  • id: 50343869
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  • id: 50343870
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  • id: 50343871
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  • id: 50343872
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  • id: 50343873
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  • id: 50343874
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  • id: 50343875
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  • id: 50343876
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  • id: 50343877
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  • id: 50343878
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  • id: 50343879
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  • id: 50343880
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  • id: 50343881
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  • id: 50343882
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  • id: 50343883
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  • id: 50343884
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  • id: 50343885
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  • id: 50343886
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  • id: 50343887
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  • id: 50343888
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  • id: 50343889
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  • id: 50343890
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  • id: 50343891
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  • id: 50343892
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  • id: 50343893
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  • id: 50343894
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  • id: 50343895
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  • id: 50343896
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  • id: 50343897
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  • id: 50343898
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  • id: 50343899
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  • id: 50343900
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  • id: 50343901
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  • id: 50343902
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  • id: 50343903
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  • id: 50343904
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  • id: 50343905
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  • id: 50343906
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  • id: 50343907
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  • id: 50343908
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  • id: 50343909
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  • id: 50343910
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  • id: 50343911
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  • id: 50343912
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  • id: 50343913
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  • id: 50343914
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  • id: 50343915
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  • id: 50343916
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  • id: 50343917
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  • id: 50343918
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  • id: 50343919
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  • id: 50343920
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  • id: 50343921
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  • id: 50343922
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  • id: 50343923
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  • id: 50343924
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  • id: 50343925
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  • id: 50343926
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  • id: 50343927
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  • id: 50343928
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  • id: 50343929
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  • id: 50343930
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  • id: 50343931
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  • id: 50343932
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  • id: 50343933
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  • id: 50343934
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  • id: 50343935
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  • id: 50343936
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  • id: 50343937
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  • id: 50343938
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  • id: 50343939
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  • id: 50343940
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  • id: 50343941
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  • id: 50343942
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  • id: 50343943
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  • id: 50343944
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  • id: 50343945
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  • id: 50343946
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  • id: 50343947
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  • id: 50343948
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  • id: 50343949
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  • id: 50343950
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  • id: 50343951
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  • id: 50343952
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  • id: 50343953
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  • id: 50343954
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  • id: 50343955
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  • id: 50343956
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  • id: 50343957
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  • id: 50343958
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  • id: 50343959
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  • id: 50343960
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  • id: 50343961
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  • id: 50343962
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  • id: 50343963
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  • id: 50343964
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  • id: 50343965
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  • id: 50343966
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  • id: 50343967
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  • id: 50343968
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  • id: 50343969
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  • id: 50343970
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  • id: 50343971
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  • id: 50343972
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  • id: 50343973
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  • id: 50343974
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  • id: 50343975
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  • id: 50343976
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  • id: 50343977
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  • id: 50343978
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  • id: 50343979
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  • id: 50343980
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  • id: 50343981
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  • id: 50343982
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  • id: 50343983
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  • id: 50343984
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  • id: 50343985
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  • id: 50343986
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  • id: 50343987
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  • id: 50343988
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  • id: 50343989
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  • id: 50343990
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  • id: 50343991
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  • id: 50343992
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  • id: 50343993
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  • id: 50343994
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  • id: 50343995
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  • id: 50343996
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  • id: 50343997
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  • id: 50343998
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  • id: 50343999
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  • id: 50344000
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  • id: 50344001
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  • id: 50344002
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  • id: 50344003
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  • id: 50344004
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  • id: 50344005
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  • id: 50344006
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  • id: 50344007
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  • id: 50344008
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  • id: 50344009
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  • id: 50344010
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  • id: 50344011
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  • id: 50344012
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  • id: 50344013
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  • id: 50344014
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  • id: 50344015
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  • id: 50344016
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  • id: 50344017
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  • id: 50344018
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  • id: 50344019
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  • id: 50344020
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  • id: 50344021
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  • id: 50344022
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  • id: 50344023
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  • id: 50344024
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  • id: 50344025
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  • id: 50344026
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  • id: 50344027
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  • id: 50344028
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  • id: 50344029
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  • id: 50344030
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  • id: 50344031
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  • id: 50344032
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