Newform data - 8624.2.a.y

Formats: - HTML - YAML - JSON - 2026-07-14T15:34:44.666340

• 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': 34496, 'analytic_conductor': 68.8629867031522, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [7, -1], [11, 1]], 'atkin_lehner_string': '--+', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [8624, 1, [5391, 6469, 7745, 3137], [1, 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, [-2, 1]], [5, [2, 1]], [13, [-2, 1]], [17, [0, 1]]], 'hecke_orbit': 25, 'hecke_orbit_code': 108086391090454960, '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': '8624.2.a.y', 'level': 8624, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 7, 11], 'level_radical': 154, 'minimal_twist': '1078.2.a.h', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+2q^{3}-2q^{5}+q^{9}-q^{11}+2q^{13}+\\cdots', 'related_objects': ['EllipticCurve/Q/8624/y'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '8624.2.a', 'trace_display': [0, 2, -2, 0], 'trace_hash': 1635921487093872686, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.983', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.924', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.753', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.010', 'prec': 17}, 'traces': [1, 0, 2, 0, -2, 0, 0, 0, 1, 0, -1, 0, 2, 0, -4, 0, 0, 0, 2, 0, 0, 0, 0, 0, -1, 0, -4, 0, 6, 0, -4, 0, -2, 0, 0, 0, 2, 0, 4, 0, 8, 0, -12, 0, -2, 0, -12, 0, 0, 0, 0, 0, -2, 0, 2, 0, 4, 0, -10, 0, -10, 0, 0, 0, -4, 0, 12, 0, 0, 0, -4, 0, 12, 0, -2, 0, 0, 0, 0, 0, -11, 0, 18, 0, 0, 0, 12, 0, 0, 0, 0, 0, -8, 0, -4, 0, -12, 0, -1, 0, 6, 0, -12, 0, 0, 0, -12, 0, -10, 0, 4, 0, -10, 0, 0, 0, 2, 0, 0, 0, 1, 0, 16, 0, 12, 0, -4, 0, -24, 0, 2, 0, 0, 0, 8, 0, 22, 0, 14, 0, -24, 0, -2, 0, -12, 0, 0, 0, -14, 0, 4, 0, 0, 0, 8, 0, -14, 0, -4, 0, 0, 0, -12, 0, 4, 0, -12, 0, -9, 0, 2, 0, -6, 0, 0, 0, -20, 0, -12, 0, 18, 0, -20, 0, -4, 0, 0, 0, 0, 0, -12, 0, -2, 0, -8, 0, -6, 0, -4, 0, 24, 0, 0, 0, -16, 0, 0, 0, -2, 0, 4, 0, -8, 0, 24, 0, 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-16, 0, -2, 0, 50, 0, 0, 0, 0, 0, -49, 0, -40, 0, -72, 0, -44, 0, -4, 0, -62, 0, 0, 0, -84, 0, 10, 0, -16, 0, 0, 0, -28, 0, 12, 0, 0, 0, 78, 0, 0, 0, -24, 0, 12, 0, -20, 0, 48, 0, 0, 0, -12, 0, 30, 0, 8, 0, 38, 0, 68, 0, -30, 0, 0, 0, 48, 0, 120, 0, 8, 0, -6, 0, 0, 0, 0, 0, 0, 0, 32, 0, -144, 0, -30, 0, 64, 0, -28, 0, 48, 0, 0, 0, 16, 0, 8, 0, -68, 0, -16, 0, 8, 0, 56, 0, 0, 0, 0, 0, -54, 0, -32, 0, 12, 0, -4, 0, 14, 0, 0, 0, 0, 0, 0, 0, -2, 0, -68, 0, 36, 0, -4, 0, 0, 0, -84, 0, 0, 0, -66, 0, 0, 0, 40, 0, 16, 0, 0, 0, -88, 0, -12, 0, -68, 0, 24, 0, -66, 0, 6, 0, 0, 0, -36, 0, -40, 0, 0, 0, -90, 0, -46, 0, 104, 0, 0, 0, -60, 0, -12, 0, 16, 0, -28, 0, 16, 0, -72, 0, 0, 0, 124, 0, 96, 0, 56, 0, -22, 0, 52, 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], [2], [0], [-2], [0], [0], [0], [1], [0], [-1], [0], [2], [0], [-4], [0], [0], [0], [2], [0], [0], [0], [0], [0], [-1], [0], [-4], [0], [6], [0], [-4], [0], [-2], [0], [0], [0], [2], [0], [4], [0], [8], [0], [-12], [0], [-2], [0], [-12], [0], [0], [0], [0], [0], [-2], [0], [2], [0], [4], [0], [-10], [0], [-10], [0], [0], [0], [-4], [0], [12], [0], [0], [0], [-4], [0], [12], [0], [-2], [0], [0], [0], [0], [0], [-11], [0], [18], [0], [0], [0], [12], [0], [0], [0], [0], [0], [-8], [0], [-4], [0], [-12], [0], [-1], [0]], 'ap': [[0], [2], [-2], [0], [-1], [2], [0], [2], [0], [6], [-4], [2], [8], [-12], [-12], [-2], [-10], [-10], [12], [-4], [12], [0], [18], [0], [-12], [6], [-12], [-12], [-10], [-10], [-4], [2], [22], [14], [-14], [4], [-14], [-12], [-12], [-6], [-12], [18], [-12], [-2], [-6], [-4], [4], [-8], [-6], [-30], [-10], [4], [8], [18], [16], [-16], [-6], [-16], [-14], [-10], [2], [-26], [-14], [-16], [-4], [30], [-12], [34], [-20], [-14], [24], [-20], [8], [-30], [-28], [-12], [10], [34], [18], [16], [18], [-34], [36], [4], [16], [-12], [-30], [6], [-6], [-4], [22], [36], [-8], [-28], [-20], [8], [-30], [-4], [34], [34], [-28], [34], [22], [10], [-4], [-32], [42], [20], [-28], [4], [-32], [-42], [18], [14], [28], [18], [34], [44], [18], [12], [6], [6], [42], [-4], [-50], [-34], [-14], [28], [-12], [6], [4], [-36], [0], [-30], [8], [-40], [14], [-14], [18], [38], [50], [18], [20], [-12], [14], [36], [42], [48], [34], [52], [-2], [24], [52], [-20], [-4], [32], [8], [-4], [-20], [-42], [-12], [34], [4], [6], [-2], [-44], [52], [62], [14], [-38], [20], [2], [48], [22], [28], [48], [52], [-38], [-40], [-10], [56], [-42], [-54], [-52], [40], [-14], [-62], [14], [-50], [-4], [0], [-36], [-20], [50], [-28], [-24], [2], [-30], [-4], [-16], [-46], [28], [-50], [12], [6], [-42], [4], [-20], [6], [-30], [34], [30], [40], [-42], [-16], [-28], [-8], [24], [12], [34], [30], [-48], [-46], [8], [18], [-2], [-24], [-8], [40], [20], [26], [46], [-64], [-54], [-18], [32], [44], [18], [-4], [24], [-4], [-14], [8], [-34], [-44], [-44], [-32], [-42], [-60], [32], [74], [-12], [-4], [64], [-74], [44], [-62], [-66], [-66], [-56], [-76], [-60], [-66], [14], [12], [-38], [78], [24], [44], [-18], [26], [-52], [-16], [-28], [-52], [56], [52], [-6], [38], [26], [24], [-52], [-4], [62], [-30], [48], [34], [-30], [-28], [12], [-50], [22], [-6], [26], [42], [74], [48], [66], [-74], [-42], [-16], [-2], [32], [36], [52], [-2], [28], [-10], [72], [50], [24], [42], [-10], [-76], [48], [76], [-30], [56], [56], [-34], [-18], [-42], [-66], [68], [54], [60], [-36], [-74], [-20], [-26], [-30], [58], [44], [-2], [60], [30], [-78], [-4], [40], [-52], [-58], [42], [-30], [-12], [-30], [92], [74], [-4], [-8], [-10], [62], [-38], [-26], [60], [-30], [44], [12], [-46], [10], [24], [-22], [-12], [32], [60], [46], [-14], [-22], [4], [70], [-4], [26], [72], [-94], [32], [38], [62], [-84], [52], [40], [-56], [-86], [54], [72], [-30], [-34], [16], [-100], [-10], [28], [36], [26], [6], [-52], [-86], [-48], [46], [20], [-12], [-4], [-58], [-18], [34], [48], [-20], [-30], [12], [-10], [-2], [50], [-62], [12], [78], [12], [-12], [38], [-30], [32], [-28], [-68], [56], [-54], [14], [-68], [-66], [-68], [-66], [-36], [-90], [-46], [52]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 108086391090454960, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '8624.2.a.y', 'level': 8624, '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': [20, 32, 30, 21, 24, 24, 27, 27], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [11, 12, 12, 12, 12, 12, 12, 12], 'ALdims_old': [137, 136, 138, 135, 144, 132, 129, 141], 'Nk2': 34496, 'analytic_conductor': 68.8629867031522, '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': [8624, 1, [5391, 6469, 7745, 3137], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1297, 'dim': 205, 'eis_dim': 95, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 5, 13, 17], 'hecke_orbit_code': 33563056, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 8, 10, 12], 'label': '8624.2.a', 'level': 8624, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 7, 11], 'level_radical': 154, 'mf_dim': 1392, 'mf_new_dim': 205, 'num_forms': 85, 'plus_dim': 92, 'prim_orbit_index': 1, 'relative_dim': 205, 'sturm_bound': 2688, 'trace_bound': 37, 'trace_display': [0, -2, -2, 0], 'traces': [205, 0, -2, 0, -2, 0, 0, 0, 205, 0, 3, 0, -2, 0, 2, 0, 2, 0, -12, 0, 0, 0, -6, 0, 207, 0, -14, 0, 6, 0, -18, 0, 0, 0, 0, 0, -10, 0, -16, 0, 2, 0, -16, 0, -2, 0, 28, 0, 0, 0, 12, 0, -2, 0, 4, 0, 8, 0, -22, 0, 6, 0, 0, 0, 28, 0, 14, 0, 24, 0, 6, 0, 2, 0, -72, 0, 0, 0, -36, 0, 213, 0, 32, 0, 4, 0, -40, 0, -2, 0, 0, 0, 24, 0, -48, 0, -10, 0, 9, 0, 22, 0, 36, 0, 0, 0, -32, 0, 6, 0, 14, 0, 30, 0, 30, 0, 14, 0, 0, 0, 205, 0, -8, 0, -36, 0, -8, 0, 8, 0, 0, 0, 0, 0, 14, 0, 30, 0, -40, 0, 56, 0, 10, 0, 36, 0, 0, 0, -42, 0, 84, 0, 58, 0, 54, 0, -10, 0, 44, 0, 0, 0, 204, 0, 0, 0, 32, 0, 219, 0, -28, 0, -10, 0, 0, 0, 68, 0, 38, 0, 38, 0, 240, 0, 64, 0, -6, 0, 0, 0, 6, 0, 2, 0, 48, 0, -114, 0, 20, 0, 4, 0, 0, 0, -76, 0, -92, 0, -4, 0, 140, 0, -32, 0, 44, 0, 0, 0, 0, 0, -116, 0, -10, 0, 251, 0, 0, 0, 14, 0, 0, 0, 10, 0, 16, 0, -64, 0, 4, 0, 2, 0, 56, 0, 0, 0, 120, 0, 24, 0, -46, 0, 8, 0, -92, 0, 42, 0, 0, 0, 14, 0, 76, 0, 84, 0, -118, 0, -74, 0, -24, 0, 0, 0, 15, 0, -34, 0, 24, 0, 50, 0, 44, 0, 104, 0, 0, 0, 295, 0, 198, 0, 6, 0, 134, 0, 12, 0, 96, 0, 0, 0, 92, 0, 36, 0, 4, 0, 40, 0, -4, 0, -26, 0, 0, 0, -34, 0, -10, 0, 0, 0, 160, 0, -22, 0, 140, 0, 0, 0, -38, 0, 14, 0, 30, 0, 34, 0, 126, 0, -16, 0, 0, 0, -52, 0, 4, 0, -18, 0, 40, 0, -18, 0, 2, 0, 0, 0, 0, 0, 233, 0, -2, 0, 36, 0, 134, 0, -30, 0, 0, 0, -58, 0, 134, 0, 116, 0, 58, 0, 40, 0, 38, 0, 0, 0, 68, 0, 6, 0, -92, 0, 16, 0, -36, 0, 22, 0, 0, 0, -6, 0, 128, 0, 94, 0, -16, 0, 34, 0, 38, 0, 0, 0, 36, 0, 0, 0, 16, 0, -98, 0, 4, 0, -2, 0, 0, 0, 16, 0, 140, 0, -34, 0, 168, 0, -8, 0, -168, 0, 0, 0, 14, 0, -84, 0, -60, 0, 94, 0, -18, 0, -32, 0, 0, 0, -70, 0, 84, 0, -74, 0, -10, 0, -4, 0, 10, 0, 0, 0, 74, 0, 4, 0, -116, 0, -98, 0, 216, 0, -68, 0, 0, 0, -172, 0, 26, 0, 64, 0, -4, 0, -148, 0, 26, 0, 0, 0, 4, 0, -40, 0, -20, 0, 4, 0, -86, 0, 94, 0, 0, 0, 24, 0, 8, 0, 0, 0, 84, 0, -42, 0, 76, 0, 0, 0, 60, 0, 257, 0, 60, 0, -20, 0, -180, 0, 20, 0, 0, 0, 78, 0, 286, 0, -68, 0, 116, 0, 14, 0, -40, 0, 0, 0, 378, 0, -146, 0, 104, 0, 24, 0, 12, 0, -36, 0, 0, 0, -6, 0, -164, 0, -96, 0, 184, 0, -42, 0, 112, 0, 0, 0, 10, 0, 148, 0, 128, 0, 40, 0, -84, 0, 130, 0, 0, 0, -152, 0, 32, 0, 26, 0, 48, 0, -2, 0, -164, 0, 0, 0, -152, 0, -98, 0, -48, 0, 2, 0, 54, 0, 88, 0, 0, 0, 297, 0, 32, 0, -60, 0, -62, 0, -48, 0, -112, 0, 0, 0, 348, 0, -26, 0, -110, 0, -80, 0, -86, 0, -8, 0, 0, 0, -50, 0, 60, 0, 50, 0, 96, 0, -66, 0, -80, 0, 0, 0, -64, 0, -48, 0, 18, 0, 58, 0, -384, 0, -26, 0, 0, 0, -96, 0, 228, 0, -172, 0, 6, 0, -12, 0, -110, 0, 0, 0, -12, 0, 116, 0, 72, 0, -130, 0, -40, 0, 56, 0, 0, 0, 78, 0, 104, 0, 76, 0, 36, 0, -64, 0, -2, 0, 0, 0, 192, 0, 42, 0, -186, 0, 289, 0, -96, 0, -90, 0, 0, 0, 16, 0, -616, 0, -48, 0, -280, 0, 68, 0, 204, 0, 0, 0, -258, 0, -68, 0, 116, 0, -98, 0, 54, 0, -158, 0, 0, 0, 108, 0, -176, 0, -70, 0, -172, 0, 62, 0, 4, 0, 0, 0, 136, 0, -16, 0, 168, 0, 96, 0, -180, 0, 184, 0, 0, 0, 36, 0, 204, 0, -66, 0, -168, 0, -118, 0, -50, 0, 0, 0, 108, 0, 178, 0, -24, 0, 120, 0, 256, 0, -64, 0, 0, 0, -34, 0, 18, 0, 36, 0, -132, 0, 158, 0, -92, 0, 0, 0, -360, 0, -8, 0, 22, 0, 171, 0, 252, 0, 66, 0, 0, 0, -80, 0, 42, 0, 46, 0, 96, 0, -70, 0, 90, 0, 0, 0, 200, 0, 268, 0, -70, 0, 0, 0, -216, 0, -78, 0, 0, 0, -2, 0, -48, 0, -42, 0, -92, 0, 96, 0, 76, 0, 0, 0, -5, 0, -96, 0, -114, 0, -88, 0, -16, 0, -4, 0, 0, 0, -80, 0, 84, 0, 70, 0, 112, 0, -20, 0, 304, 0, 0, 0, -28, 0, -184, 0, -48, 0, -190, 0, -148, 0, 90, 0, 0, 0, 8, 0, -64, 0, -30, 0, 618, 0, -42, 0, 176, 0, 0, 0, -234, 0, -52, 0, 146, 0, 10, 0, 314, 0, 40, 0, 0, 0, 249, 0, -84, 0, -84, 0, 152, 0, -48, 0, -82, 0, 0, 0, -64, 0, -114, 0, 16, 0, -242, 0, 310, 0, 108, 0, 0, 0, -144, 0, -256, 0, -124, 0, 56, 0, 38, 0, 138, 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: 1398517
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 25, 'source_is_minimal': False, 'source_label': '8624.2.a.y', 'source_level': 8624, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 8, 'target_is_minimal': True, 'target_label': '1078.2.a.h', 'target_level': 1078, 'twist_class_label': '1078.2.a.h', 'twist_class_level': 1078, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1398518
    {'conductor': 28, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 25, 'source_is_minimal': False, 'source_label': '8624.2.a.y', 'source_level': 8624, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 12, 'target_is_minimal': True, 'target_label': '1078.2.a.l', 'target_level': 1078, 'twist_class_label': '1078.2.a.h', 'twist_class_level': 1078, 'twisting_char_label': '28.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 1398519
    {'conductor': 28, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 25, 'source_is_minimal': False, 'source_label': '8624.2.a.y', 'source_level': 8624, 'target_char_orbit': 5, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '1078.2.e.a', 'target_level': 1078, 'twist_class_label': '1078.2.a.h', 'twist_class_level': 1078, 'twisting_char_label': '28.f', 'twisting_char_orbit': 6, 'weight': 2}
  • id: 1398520
    {'conductor': 28, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 25, 'source_is_minimal': False, 'source_label': '8624.2.a.y', 'source_level': 8624, 'target_char_orbit': 5, 'target_dim': 2, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '1078.2.e.e', 'target_level': 1078, 'twist_class_label': '1078.2.a.h', 'twist_class_level': 1078, 'twisting_char_label': '28.g', 'twisting_char_orbit': 7, 'weight': 2}
  • id: 1398521
    {'conductor': 7, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 25, 'source_is_minimal': False, 'source_label': '8624.2.a.y', 'source_level': 8624, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 7, 'target_is_minimal': False, 'target_label': '8624.2.a.g', 'target_level': 8624, 'twist_class_label': '1078.2.a.h', 'twist_class_level': 1078, 'twisting_char_label': '7.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1398522
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 25, 'source_is_minimal': False, 'source_label': '8624.2.a.y', 'source_level': 8624, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 25, 'target_is_minimal': False, 'target_label': '8624.2.a.y', 'target_level': 8624, 'twist_class_label': '1078.2.a.h', 'twist_class_level': 1078, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 1398523
    {'conductor': 84, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 25, 'source_is_minimal': False, 'source_label': '8624.2.a.y', 'source_level': 8624, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '9702.2.a.e', 'target_level': 9702, 'twist_class_label': '1078.2.a.h', 'twist_class_level': 1078, 'twisting_char_label': '84.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 1398524
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 25, 'source_is_minimal': False, 'source_label': '8624.2.a.y', 'source_level': 8624, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 20, 'target_is_minimal': False, 'target_label': '9702.2.a.t', 'target_level': 9702, 'twist_class_label': '1078.2.a.h', 'twist_class_level': 1078, '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: 4804450
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 108086391090454960, 'p': 2}
  • id: 4804451
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 108086391090454960, 'p': 3}
  • id: 4804452
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 108086391090454960, 'p': 5}
  • id: 4804453
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 108086391090454960, 'p': 7}
  • id: 4804454
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 108086391090454960, 'p': 11}
  • id: 4804455
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 108086391090454960, 'p': 13}
  • id: 4804456
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 108086391090454960, 'p': 17}
  • id: 4804457
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 108086391090454960, 'p': 19}
  • id: 4804458
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 108086391090454960, 'p': 23}
  • id: 4804459
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 108086391090454960, 'p': 29}
  • id: 4804460
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 108086391090454960, 'p': 31}
  • id: 4804461
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 108086391090454960, 'p': 37}
  • id: 4804462
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 108086391090454960, 'p': 41}
  • id: 4804463
    {'charpoly_factorization': [[[12, 1], 1]], 'hecke_orbit_code': 108086391090454960, 'p': 43}
  • id: 4804464
    {'charpoly_factorization': [[[12, 1], 1]], 'hecke_orbit_code': 108086391090454960, 'p': 47}
  • id: 4804465
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 108086391090454960, 'p': 53}
  • id: 4804466
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 108086391090454960, 'p': 59}
  • id: 4804467
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 108086391090454960, 'p': 61}
  • id: 4804468
    {'charpoly_factorization': [[[-12, 1], 1]], 'hecke_orbit_code': 108086391090454960, 'p': 67}
  • id: 4804469
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 108086391090454960, 'p': 71}
  • id: 4804470
    {'charpoly_factorization': [[[-12, 1], 1]], 'hecke_orbit_code': 108086391090454960, 'p': 73}
  • id: 4804471
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 108086391090454960, 'p': 79}
  • id: 4804472
    {'charpoly_factorization': [[[-18, 1], 1]], 'hecke_orbit_code': 108086391090454960, 'p': 83}
  • id: 4804473
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 108086391090454960, 'p': 89}
  • id: 4804474
    {'charpoly_factorization': [[[12, 1], 1]], 'hecke_orbit_code': 108086391090454960, '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': 25, 'label': '8624.2.a.y', 'level': 8624, '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

  
  
  • id: 66585649
    {'hecke_orbit_code': 108086391090454960, 'n': 1, 'trace_an': 1}
  • id: 66585650
    {'hecke_orbit_code': 108086391090454960, 'n': 2, 'trace_an': 0}
  • id: 66585651
    {'hecke_orbit_code': 108086391090454960, 'n': 3, 'trace_an': 2}
  • id: 66585652
    {'hecke_orbit_code': 108086391090454960, 'n': 4, 'trace_an': 0}
  • id: 66585653
    {'hecke_orbit_code': 108086391090454960, 'n': 5, 'trace_an': -2}
  • id: 66585654
    {'hecke_orbit_code': 108086391090454960, 'n': 6, 'trace_an': 0}
  • id: 66585655
    {'hecke_orbit_code': 108086391090454960, 'n': 7, 'trace_an': 0}
  • id: 66585656
    {'hecke_orbit_code': 108086391090454960, 'n': 8, 'trace_an': 0}
  • id: 66585657
    {'hecke_orbit_code': 108086391090454960, 'n': 9, 'trace_an': 1}
  • id: 66585658
    {'hecke_orbit_code': 108086391090454960, 'n': 10, 'trace_an': 0}
  • id: 66585659
    {'hecke_orbit_code': 108086391090454960, 'n': 11, 'trace_an': -1}
  • id: 66585660
    {'hecke_orbit_code': 108086391090454960, 'n': 12, 'trace_an': 0}
  • id: 66585661
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  • id: 66585663
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  • id: 66585664
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  • id: 66585666
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  • id: 66585667
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  • id: 66585668
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  • id: 66585669
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  • id: 66585671
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  • id: 66585674
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  • id: 66585675
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  • id: 66585676
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  • id: 66585677
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  • id: 66585678
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  • id: 66585679
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  • id: 66585680
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  • id: 66585681
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  • id: 66585682
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  • id: 66585683
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  • id: 66585684
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  • id: 66585685
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  • id: 66585686
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  • id: 66585687
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  • id: 66585689
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  • id: 66585690
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  • id: 66585691
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  • id: 66585692
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  • id: 66585693
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  • id: 66585694
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  • id: 66585695
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  • id: 66585696
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  • id: 66585697
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  • id: 66585700
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  • id: 66585701
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  • id: 66585702
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  • id: 66585703
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  • id: 66585704
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  • id: 66585705
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  • id: 66585706
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  • id: 66585707
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  • id: 66585708
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  • id: 66585709
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  • id: 66585710
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  • id: 66585711
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  • id: 66585712
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  • id: 66585713
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  • id: 66585714
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  • id: 66585715
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  • id: 66585716
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  • id: 66585717
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  • id: 66585718
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  • id: 66585719
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  • id: 66585720
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  • id: 66585721
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  • id: 66585722
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  • id: 66585723
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  • id: 66585724
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  • id: 66585725
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  • id: 66585726
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  • id: 66585727
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  • id: 66585728
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  • id: 66585729
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  • id: 66585730
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  • id: 66585731
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  • id: 66585732
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  • id: 66585733
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  • id: 66585734
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  • id: 66585735
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  • id: 66585736
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  • id: 66585737
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  • id: 66585738
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  • id: 66585739
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  • id: 66585740
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  • id: 66585741
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  • id: 66585742
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  • id: 66585743
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  • id: 66585744
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  • id: 66585745
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  • id: 66585746
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  • id: 66585747
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  • id: 66585748
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  • id: 66585749
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  • id: 66585750
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  • id: 66585751
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  • id: 66585752
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  • id: 66585753
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  • id: 66585754
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  • id: 66585755
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  • id: 66585756
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  • id: 66585757
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  • id: 66585758
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  • id: 66585759
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  • id: 66585760
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  • id: 66585761
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  • id: 66585762
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  • id: 66585763
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  • id: 66585764
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  • id: 66585765
    {'hecke_orbit_code': 108086391090454960, 'n': 167, 'trace_an': -12}
  • id: 66585766
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  • id: 66585767
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  • id: 66585768
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  • id: 66585769
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  • id: 66585770
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  • id: 66585771
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  • id: 66585772
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  • id: 66585773
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  • id: 66585774
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  • id: 66585775
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  • id: 66585776
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  • id: 66585777
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  • id: 66585778
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  • id: 66585779
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  • id: 66585780
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  • id: 66585781
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  • id: 66585782
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  • id: 66585783
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  • id: 66585784
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  • id: 66585785
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  • id: 66585786
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  • id: 66585787
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  • id: 66585788
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  • id: 66585789
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  • id: 66585790
    {'hecke_orbit_code': 108086391090454960, 'n': 283, 'trace_an': 2}
  • id: 66585791
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  • id: 66585792
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  • id: 66585793
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  • id: 66585794
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  • id: 66585795
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  • id: 66585796
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  • id: 66585797
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  • id: 66585798
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  • id: 66585799
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  • id: 66585800
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  • id: 66585801
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  • id: 66585802
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  • id: 66585803
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  • id: 66585804
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  • id: 66585805
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  • id: 66585806
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  • id: 66585807
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  • id: 66585808
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  • id: 66585809
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  • id: 66585810
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  • id: 66585811
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  • id: 66585812
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  • id: 66585813
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  • id: 66585814
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  • id: 66585815
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  • id: 66585816
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  • id: 66585817
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  • id: 66585818
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  • id: 66585819
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  • id: 66585820
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  • id: 66585821
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  • id: 66585822
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  • id: 66585823
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  • id: 66585824
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  • id: 66585825
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  • id: 66585826
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  • id: 66585827
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  • id: 66585828
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  • id: 66585829
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  • id: 66585830
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  • id: 66585831
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  • id: 66585832
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  • id: 66585833
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  • id: 66585834
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  • id: 66585835
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  • id: 66585836
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  • id: 66585837
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  • id: 66585838
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  • id: 66585839
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  • id: 66585840
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  • id: 66585841
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  • id: 66585842
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  • id: 66585843
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  • id: 66585844
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  • id: 66585845
    {'hecke_orbit_code': 108086391090454960, 'n': 607, 'trace_an': -32}
  • id: 66585846
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  • id: 66585847
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  • id: 66585848
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  • id: 66585849
    {'hecke_orbit_code': 108086391090454960, 'n': 625, 'trace_an': -19}
  • id: 66585850
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  • id: 66585851
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  • id: 66585852
    {'hecke_orbit_code': 108086391090454960, 'n': 643, 'trace_an': 34}
  • id: 66585853
    {'hecke_orbit_code': 108086391090454960, 'n': 647, 'trace_an': 44}
  • id: 66585854
    {'hecke_orbit_code': 108086391090454960, 'n': 653, 'trace_an': 18}
  • id: 66585855
    {'hecke_orbit_code': 108086391090454960, 'n': 659, 'trace_an': 12}
  • id: 66585856
    {'hecke_orbit_code': 108086391090454960, 'n': 661, 'trace_an': 6}
  • id: 66585857
    {'hecke_orbit_code': 108086391090454960, 'n': 673, 'trace_an': 6}
  • id: 66585858
    {'hecke_orbit_code': 108086391090454960, 'n': 677, 'trace_an': 42}
  • id: 66585859
    {'hecke_orbit_code': 108086391090454960, 'n': 683, 'trace_an': -4}
  • id: 66585860
    {'hecke_orbit_code': 108086391090454960, 'n': 691, 'trace_an': -50}
  • id: 66585861
    {'hecke_orbit_code': 108086391090454960, 'n': 701, 'trace_an': -34}
  • id: 66585862
    {'hecke_orbit_code': 108086391090454960, 'n': 709, 'trace_an': -14}
  • id: 66585863
    {'hecke_orbit_code': 108086391090454960, 'n': 719, 'trace_an': 28}
  • id: 66585864
    {'hecke_orbit_code': 108086391090454960, 'n': 727, 'trace_an': -12}
  • id: 66585865
    {'hecke_orbit_code': 108086391090454960, 'n': 729, 'trace_an': 13}
  • id: 66585866
    {'hecke_orbit_code': 108086391090454960, 'n': 733, 'trace_an': 6}
  • id: 66585867
    {'hecke_orbit_code': 108086391090454960, 'n': 739, 'trace_an': 4}
  • id: 66585868
    {'hecke_orbit_code': 108086391090454960, 'n': 743, 'trace_an': -36}
  • id: 66585869
    {'hecke_orbit_code': 108086391090454960, 'n': 751, 'trace_an': 0}
  • id: 66585870
    {'hecke_orbit_code': 108086391090454960, 'n': 757, 'trace_an': -30}
  • id: 66585871
    {'hecke_orbit_code': 108086391090454960, 'n': 761, 'trace_an': 8}
  • id: 66585872
    {'hecke_orbit_code': 108086391090454960, 'n': 769, 'trace_an': -40}
  • id: 66585873
    {'hecke_orbit_code': 108086391090454960, 'n': 773, 'trace_an': 14}
  • id: 66585874
    {'hecke_orbit_code': 108086391090454960, 'n': 787, 'trace_an': -14}
  • id: 66585875
    {'hecke_orbit_code': 108086391090454960, 'n': 797, 'trace_an': 18}
  • id: 66585876
    {'hecke_orbit_code': 108086391090454960, 'n': 809, 'trace_an': 38}
  • id: 66585877
    {'hecke_orbit_code': 108086391090454960, 'n': 811, 'trace_an': 50}
  • id: 66585878
    {'hecke_orbit_code': 108086391090454960, 'n': 821, 'trace_an': 18}
  • id: 66585879
    {'hecke_orbit_code': 108086391090454960, 'n': 823, 'trace_an': 20}
  • id: 66585880
    {'hecke_orbit_code': 108086391090454960, 'n': 827, 'trace_an': -12}
  • id: 66585881
    {'hecke_orbit_code': 108086391090454960, 'n': 829, 'trace_an': 14}
  • id: 66585882
    {'hecke_orbit_code': 108086391090454960, 'n': 839, 'trace_an': 36}
  • id: 66585883
    {'hecke_orbit_code': 108086391090454960, 'n': 841, 'trace_an': 7}
  • id: 66585884
    {'hecke_orbit_code': 108086391090454960, 'n': 853, 'trace_an': 42}
  • id: 66585885
    {'hecke_orbit_code': 108086391090454960, 'n': 857, 'trace_an': 48}
  • id: 66585886
    {'hecke_orbit_code': 108086391090454960, 'n': 859, 'trace_an': 34}
  • id: 66585887
    {'hecke_orbit_code': 108086391090454960, 'n': 863, 'trace_an': 52}
  • id: 66585888
    {'hecke_orbit_code': 108086391090454960, 'n': 877, 'trace_an': -2}
  • id: 66585889
    {'hecke_orbit_code': 108086391090454960, 'n': 881, 'trace_an': 24}
  • id: 66585890
    {'hecke_orbit_code': 108086391090454960, 'n': 883, 'trace_an': 52}
  • id: 66585891
    {'hecke_orbit_code': 108086391090454960, 'n': 887, 'trace_an': -20}
  • id: 66585892
    {'hecke_orbit_code': 108086391090454960, 'n': 907, 'trace_an': -4}
  • id: 66585893
    {'hecke_orbit_code': 108086391090454960, 'n': 911, 'trace_an': 32}
  • id: 66585894
    {'hecke_orbit_code': 108086391090454960, 'n': 919, 'trace_an': 8}
  • id: 66585895
    {'hecke_orbit_code': 108086391090454960, 'n': 929, 'trace_an': -4}
  • id: 66585896
    {'hecke_orbit_code': 108086391090454960, 'n': 937, 'trace_an': -20}
  • id: 66585897
    {'hecke_orbit_code': 108086391090454960, 'n': 941, 'trace_an': -42}
  • id: 66585898
    {'hecke_orbit_code': 108086391090454960, 'n': 947, 'trace_an': -12}
  • id: 66585899
    {'hecke_orbit_code': 108086391090454960, 'n': 953, 'trace_an': 34}
  • id: 66585900
    {'hecke_orbit_code': 108086391090454960, 'n': 961, 'trace_an': -15}
  • id: 66585901
    {'hecke_orbit_code': 108086391090454960, 'n': 967, 'trace_an': 4}
  • id: 66585902
    {'hecke_orbit_code': 108086391090454960, 'n': 971, 'trace_an': 6}
  • id: 66585903
    {'hecke_orbit_code': 108086391090454960, 'n': 977, 'trace_an': -2}
  • id: 66585904
    {'hecke_orbit_code': 108086391090454960, 'n': 983, 'trace_an': -44}
  • id: 66585905
    {'hecke_orbit_code': 108086391090454960, 'n': 991, 'trace_an': 52}
  • id: 66585906
    {'hecke_orbit_code': 108086391090454960, 'n': 997, 'trace_an': 62}