Newform data - 1430.2.a.k

Formats: - HTML - YAML - JSON - 2025-10-16T15:41:09.597737

• 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': 5720, 'analytic_conductor': 11.418607489043096, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [5, -1], [11, -1], [13, 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': [1430, 1, [287, 651, 1211], [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]], [7, [1, 1]], [17, [3, 1]]], 'hecke_orbit': 11, 'hecke_orbit_code': 45035996307260822, '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': True, 'label': '1430.2.a.k', 'level': 1430, '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, 5, 11, 13], 'level_radical': 1430, 'minimal_twist': '1430.2.a.k', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+q^{2}+3q^{3}+q^{4}+q^{5}+3q^{6}-q^{7}+\\cdots', 'related_objects': ['EllipticCurve/Q/1430/k'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1430.2.a', 'trace_display': [1, 3, 1, -1], 'trace_hash': 1231179999410628870, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.019', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.022', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.091', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.298', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.013', 'prec': 17}, 'traces': [1, 1, 3, 1, 1, 3, -1, 1, 6, 1, 1, 3, -1, -1, 3, 1, -3, 6, 1, 1, -3, 1, -2, 3, 1, -1, 9, -1, 1, 3, -3, 1, 3, -3, -1, 6, 7, 1, -3, 1, -10, -3, -8, 1, 6, -2, 2, 3, -6, 1, -9, -1, -1, 9, 1, -1, 3, 1, 6, 3, 3, -3, -6, 1, -1, 3, 8, -3, -6, -1, -1, 6, 6, 7, 3, 1, -1, -3, -10, 1, 9, -10, 10, -3, -3, -8, 3, 1, -3, 6, 1, -2, -9, 2, 1, 3, 4, -6, 6, 1, -14, -9, -20, -1, -3, -1, 4, 9, -2, 1, 21, -1, -4, 3, -2, 1, -6, 6, 3, 3, 1, 3, -30, -3, 1, -6, 0, 1, -24, -1, 9, 3, -1, 8, 9, -3, 8, -6, 20, -1, 6, -1, -1, 6, 1, 6, -18, 7, -9, 3, -22, 1, -18, -1, -3, -3, -5, -10, -3, 1, 2, 9, 3, -10, 3, 10, -9, -3, 1, -3, 6, -8, 2, 3, -1, 1, 18, -3, 0, 6, -2, 1, 9, -2, 7, -9, -3, 2, -9, 1, 4, 3, -11, 4, -3, -6, 12, 6, 19, 1, 24, -14, -1, -9, -10, -20, -12, -1, 1, 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10, -8, -18, -1, 56, -27, 8, 58, 42, -72, -1, 90, 6, 54, -9, -30, -12, -12, 22, -2, 6, 57, -22, 15, 12, -10, 6, 21, 14, 36, -4, 3, -3, -18, -6, -66, -20, 39, -9, -34, 18, -102, -1, 41, 114, 1, -44, -12, -24, 8, 3, 9, -3, 42, 3, 11, 0, 15, -1, 6, 10, -10, 12, 10, -21, -27, 10, 78, 78, 1, -2, -18, -52, -12, 6, -5, -28, 114, -10, -79, -3, -77, -8, 180, 3, 22, -33, -12, 3, -3, 1, 1, -72, 28, -10, -9, -16, 0, 12, -24, -3, -42, -1, 67, -18, 3, 6, -30, 9, -69, -6, -4, -10, -3, -2, -8, 18, -3, -27, 9, 2, 12, -18, 2, 4, -15, -3, 17, 54, -19, 6, 84, 36, -60, 36, -8, -1, -186, 7, 40, -30, -11, -26, 12, 12, 1, 9, -38, -10, -9, 3, 8, 66, 89, -9, -6, 38, 3, 57, 59, -22, 102, 2, 35, -6, -16, 9, -18, -2, 57, 3, 29, -44, -27, -34, -7, -99, 10, 8, 18, 22, -69, 48, 0, 3, 6, -22, -50, 9, -60, 1, -48, -2, -60, -42, 4, 34, 18, 41, 6, 0, 3, 1, 105, 18, 16, -3, -62, 2, 120, 3, 20, 21, 26, -2, 9, 41, 12, -18, 30, -6, -24, -6, 10, -12, -3, 2, 9, 5, -21, -30, -8, -42, -30, -1, -3, 48, 71, 24, -144, -1, -6, -60, -60, -39, 6, 48, -30, -18, 56, -3, -36, -18, -4, -18, 1, -4, 132, -15, 9, 30, -2, 3, 48, -8, -36, -3, 18, 64, 54, 1, -30, 120, -29, 6, -27, 0, 4, 3, 11, 6, -27, -5, 24, 36, 24, -21, -72, 32, 10, -6, -12, -4, -84, -9, -14, 120, 18, -10, 132, -2, -72, 3, 27, 2, 3, -27, -48, 18, -36, 0, -3, 30, 8, -3, -8, 8, -36, 6, -93, -9, 30, 1, -42, -45, -6, -6, 6, -16, -126, 1, -12, -9, -3, -33, 9, -24, 66, 12, 36, 30, 87, 3, -30, -6, -20, 2, 126, -22, 72, -24, -3, -44, 60, -3, 2, 0, -19, 30, -66, -7, 78, 9, 17, -1, 6, 6, 6, -72, 8, -1, -48, -4, 8, 9, -18, -28, -30, 3, 64, 6, -14, -31, -24, -27, 20, -6, -65, 3, 36, 9, 12, -6, -24, -10, -3, 14, -7, 36, -22, -31, 102, -2, 58, 12, 9, 39, -12, -4, 1, 3, 20, -57, -138, -14, -19, -54, -52, 12, 39, -1, 22, 9, -38, 9, 36, 10, -57, 108, 40, -1, -120, 1, 28, 42, 10, 24, 0, -2, 15, -9, -56, -9, 0, -4, 4, 30, 53, 20, 6, 8, -26, -54, -76, 3, 0, 30, -10, -3, -71, -8, 12, -15, 29, -90, -6, 19, -9, -1, 0, 9, 42, 11, 9, 1, 25, -30, -48, 12, 48, 20, 0, -12, -86, -12, -6, -4, -1, -132, -78, -3, 177, 6, 6, 54, -2, 2, -126, -3, 31, 3, -66, 33, 69, -32, 40, 6, -6, 12, 30, 8, -17, 33, -1, 13, 18, -71, -80, 30, -55, 1, -27, -8, -46, -27, 1, 1, 48, -12, 9, -6, 6, -26, 12, -10, 10, -15, -60, 2, 3, 8, -9, -6, 12, 6, 21, -6, 4, 66, -22, 20, -180, -4, -2, 3, 14, -19, 93, 30, 54, -18, 50, -26, -18, 0, 8, -9, 29, 62, -90, -1, 42, 9, -31, 27, -9, -6, 33, -9, -52, 22, -126, 7, 4, -24, -22, 1, 36, -47, -70, 6, -3, -30, -117, 6, -4, -30, 30, 14, 60, -6, -9, 18, -6, 2, -9, 30, -8, -24, 27, -1, -33, -6, -60, -60, -44, -48, -18, -3, -7, 3, 52, 6, -162, -16, 3, 9, -34, -37, -63, -1, 56, -9, 4, 0, 12, -34, 6, -66, -22, 10, 6, -24, -3, -48, -2, 45, -24, -65, 4, 6, -64, 9, -66, 20, -10, -21, -92, -18, 36, -8, -36, 66, -31, -16, -33, -2, 70, 12, -10, 1, 51, 68, -33, 3, -10, 2, -18, 30, 36, 12, 10, 1, -144, -6, -1, -27, 76, -49, -60, 6, 0, 48, -70, 24, -6, -1, 44, 9, -14, -2, 48, 16, -12, 18, -27, -36, -9, 4, -19, -18, -6, 38, -18, -2, -3, -9, -40, 8, 78, 6, -18, -60, -2, -1, 36, 16, -27, -9, -8, 7, -12, 6, 9, -3, -26, -44, 48, 1, -12, 9, -32, 39, 48, -3, 3, -9, -10, -9, 72, -9, 20, 3, -5, 14, 57, -70, -20, 60, -18, 2, 24, -3, -60, -108, 9, -4, 63, -20, 102, 3], '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], [1], [3], [1], [1], [3], [-1], [1], [6], [1], [1], [3], [-1], [-1], [3], [1], [-3], [6], [1], [1], [-3], [1], [-2], [3], [1], [-1], [9], [-1], [1], [3], [-3], [1], [3], [-3], [-1], [6], [7], [1], [-3], [1], [-10], [-3], [-8], [1], [6], [-2], [2], [3], [-6], [1], [-9], [-1], [-1], [9], [1], [-1], [3], [1], [6], [3], [3], [-3], [-6], [1], [-1], [3], [8], [-3], [-6], [-1], [-1], [6], [6], [7], [3], [1], [-1], [-3], [-10], [1], [9], [-10], [10], [-3], [-3], [-8], [3], [1], [-3], [6], [1], [-2], [-9], [2], [1], [3], [4], [-6], [6], [1]], 'ap': [[1], [3], [1], [-1], [1], [-1], [-3], [1], [-2], [1], [-3], [7], [-10], [-8], [2], [-1], [6], [3], [8], [-1], [6], [-10], [10], [-3], [4], [-14], [-20], [4], [-2], [-4], [0], [9], [8], [20], [-9], [-22], [-5], [3], [-9], [2], [0], [-2], [4], [-11], [12], [19], [1], [10], [18], [10], [-3], [-22], [22], [6], [30], [-31], [-8], [20], [8], [22], [-6], [-2], [2], [-15], [6], [-27], [12], [19], [-6], [-26], [6], [-24], [-36], [14], [38], [26], [-6], [22], [-33], [-4], [12], [40], [0], [-24], [4], [36], [-30], [11], [-5], [22], [3], [-16], [16], [-3], [-36], [24], [-8], [-18], [20], [25], [40], [14], [-22], [-44], [3], [-10], [-27], [-26], [9], [-34], [41], [-6], [24], [48], [-9], [-33], [3], [30], [-31], [39], [-14], [-15], [12], [33], [-10], [27], [30], [45], [30], [16], [16], [39], [5], [-34], [14], [38], [-1], [28], [34], [6], [35], [-10], [-48], [-12], [44], [-24], [-42], [29], [42], [-22], [34], [-46], [13], [-40], [59], [23], [16], [31], [-42], [-39], [-11], [-21], [17], [-48], [16], [26], [16], [8], [-6], [-21], [17], [10], [-42], [37], [8], [-45], [20], [-56], [1], [55], [-46], [-15], [5], [-51], [42], [14], [56], [-12], [14], [-52], [-28], [-16], [-10], [36], [12], [38], [-44], [34], [18], [41], [5], [-42], [-39], [64], [32], [-45], [-16], [-24], [-22], [-44], [-1], [-4], [-28], [-27], [-4], [-57], [9], [6], [-32], [-71], [-26], [62], [-47], [-48], [-16], [-37], [-34], [-65], [-16], [68], [2], [-49], [38], [6], [-44], [-3], [-9], [-70], [-20], [-43], [21], [-4], [28], [-46], [-70], [-14], [20], [6], [-75], [33], [2], [-8], [-22], [-61], [0], [21], [4], [42], [14], [55], [32], [28], [-21], [22], [0], [64], [4], [-27], [-64], [14], [30], [17], [-56], [70], [13], [54], [-32], [50], [-14], [35], [-13], [4], [-64], [-25], [-32], [-23], [70], [-70], [27], [-6], [-56], [-4], [21], [-77], [-62], [-30], [8], [-19], [-28], [30], [-33], [40], [-16], [44], [-10], [40], [20], [-4], [81], [-28], [-4], [-70], [0], [-73], [-57], [14], [-30], [-12], [70], [-48], [31], [18], [-38], [-38], [15], [-21], [-2], [-44], [15], [72], [-31], [58], [-72], [54], [57], [39], [-34], [41], [9], [15], [10], [78], [-79], [-77], [67], [-69], [-4], [-3], [12], [17], [-11], [-38], [8], [89], [59], [35], [57], [-69], [-50], [-60], [-62], [20], [12], [-21], [71], [-60], [-30], [-29], [-12], [-72], [-36], [8], [-93], [30], [6], [72], [78], [17], [64], [-65], [12], [58], [-52], [-57], [40], [28], [-56], [53], [-76], [-10], [-71], [29], [0], [-48], [0], [-86], [-78], [31], [-66], [-17], [-55], [-46], [-60], [4], [54], [50], [29], [42], [-31], [-70], [-6], [-8], [-60], [52], [-34], [56], [4], [-92], [70], [-33], [36], [76], [44], [-19], [-2], [-27], [9], [-12], [-32], [102]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 45035996307260822, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '1430.2.a.k', 'level': 1430, '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': [3, 4, 3, 1, 2, 1, 2, 4, 3, 1, 2, 5, 2, 4, 3, 1], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], 'ALdims_old': [9, 13, 15, 13, 16, 14, 12, 11, 12, 13, 13, 13, 15, 11, 11, 13], 'Nk2': 5720, 'analytic_conductor': 11.418607489043096, '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': [1430, 1, [287, 651, 1211], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 245, 'dim': 41, 'eis_dim': 15, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 7, 17], 'hecke_orbit_code': 33555862, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 3, 3, 3, 3, 4, 4], 'label': '1430.2.a', 'level': 1430, '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, 5, 11, 13], 'level_radical': 1430, 'mf_dim': 260, 'mf_new_dim': 41, 'num_forms': 22, 'plus_dim': 13, 'prim_orbit_index': 1, 'relative_dim': 41, 'sturm_bound': 504, 'trace_bound': 9, 'trace_display': [1, 4, -3, 8], 'traces': [41, 1, 4, 41, -3, -4, 8, 1, 45, 1, 1, 4, 1, 0, 4, 41, 2, 13, 4, -3, 16, 1, 8, -4, 41, 1, 40, 8, -10, -4, 16, 1, -4, 2, -8, 45, -2, 4, 4, 1, -14, 16, 28, 1, -7, -16, 0, 4, 25, 1, 8, 1, -58, 8, 1, 0, 16, 6, -4, 4, 22, 0, 40, 41, 1, 4, -4, 2, 32, -24, -56, 13, 10, 6, 4, 4, -8, -4, 16, -3, 1, 10, -28, 16, 2, 4, 8, 1, 50, 13, 8, 8, -16, -40, 4, -4, -14, 25, 13, 41, -34, 24, 24, 1, 16, -26, -20, 40, -10, -11, 32, 8, 34, 24, 16, -10, 13, -20, 24, -4, 41, -26, -72, 16, -3, -40, 32, 1, 80, -3, -52, -4, 96, 36, -32, 2, -22, -80, 68, -8, -16, 24, 1, 45, 6, -54, 36, -2, -82, -4, -8, 4, -86, -8, 24, 4, -34, -64, -48, 1, 16, -7, -4, -14, 4, 20, -88, 16, 41, 2, -92, 28, -66, -16, 8, 1, -112, 10, -28, -7, -42, 8, -88, -16, -34, -48, 10, 0, 48, 12, -80, 4, 50, 10, 4, 25, 6, 13, 64, 1, 32, -18, -112, 8, -14, 16, -56, 1, 12, -8, 60, -58, 64, -60, 12, 8, 112, -34, -88, 1, 10, -72, 48, 0, 45, 34, 52, 16, 62, 8, 8, 6, -6, 13, 8, -4, -32, 32, -128, 4, -6, 1, 124, 22, -11, 40, 4, 0, -64, 1, 12, 40, 0, 0, -24, 41, -30, -32, 48, 1, -114, -84, 56, 4, -42, -96, 40, -4, 30, -40, -16, 2, 16, -46, 1, 32, 70, 20, -120, -24, -110, 48, -36, -56, 32, 1, -64, 13, 35, -18, 56, 10, 22, -84, -20, 6, 8, -58, -16, 4, -112, 24, -104, 4, -26, 82, 20, -8, 32, 0, -16, -4, -22, -2, -24, 16, 118, 24, -18, -3, 16, -16, 72, 1, 1, -60, -168, 10, -80, -4, -36, -28, -106, -64, 20, 16, 34, 1, -152, 2, 0, -12, 112, 4, -16, -50, -148, 8, -42, 0, -8, 1, -126, -48, 16, 50, -224, -60, -72, 13, 61, -58, 4, 8, -38, 0, 80, 8, -166, 6, 160, -16, -10, 2, 4, -40, -2, -128, -4, 4, -48, -64, -80, -4, 0, 26, 44, -14, 22, -12, -16, 25, -32, 38, 16, 13, 54, 8, 152, 41, -6, -32, 32, -34, -11, -80, 38, 24, -110, -6, -88, 24, 32, -32, -76, 1, -176, -60, -12, 16, -18, -36, -96, -26, 2, -80, 144, -20, 4, -44, -112, 40, -14, 24, -24, -10, -64, 8, 136, -11, -75, -14, -20, 32, -30, 8, -168, 8, -46, 13, -62, 34, -240, -92, 8, 24, -182, -58, -32, 16, -186, 16, -16, -10, -24, 26, -124, 13, -96, -24, -96, -20, 20, -64, 4, 24, -114, 48, 224, -4, 22, 98, -96, 41, 58, 100, 136, -26, 56, -7, -12, -72, -36, 20, 13, 16, 16, 96, -76, -3, 144, 76, 88, -40, -82, 8, 4, 32, -74, -16, 144, 1, 0, 146, -80, 80, 32, 112, -40, -3, -102, -178, 316, -52, 16, -48, 128, -4, -15, 46, 76, 96, -30, -88, 92, 36, -16, 126, -7, -32, 118, 112, 152, 2, 30, -32, -28, -22, 222, 1, 16, -80, 208, -90, 8, 68, 30, 144, 4, -8, 16, 90, 148, -16, -22, 84, -88, 24, -166, 16, 100, 1, 0, 64, 8, 45, 162, -13, 136, 6, 176, 88, -10, -54, 13, -106, 68, 36, 16, -4, 88, -2, 34, -32, -48, -82, 64, 8, -160, -4, 42, -32, 108, -8, -3, 24, 16, 4, 24, 14, 48, -86, -58, 116, -40, -8, 138, 80, 92, 24, 272, 72, -128, 4, 41, 90, -16, -34, 220, -24, 40, -64, 224, -2, 16, -48, 25, 30, -304, 1, 10, 32, -132, 16, -80, -8, 216, -7, 44, 1, 48, -4, 14, 280, -12, -14, 162, -16, 236, 4, 46, 44, 72, 20, -56, -50, 0, -88, -64, -20, -2, 16, 178, 50, 40, 41, -74, 24, 112, 2, -48, 8, 100, -92, 50, 120, -8, 28, -2, 0, 52, -66, 24, 4, -4, -16, -76, -82, -24, 8, 6, -40, 232, 1, 96, -6, -16, -112, -50, 72, 336, 10, -128, -96, -3, -28, 112, 40, 72, -7, 160, -35, 184, -42, -10, -4, 200, 8, -243, -46, 40, -88, 110, 120, 140, -16, -12, 66, -12, -34, 32, 112, -24, -48, -42, -106, 20, 10, 32, -4, 120, 0, 192, 14, -80, 48, -154, 140, 96, 12, 162, 32, 48, -80, -22, 8, 28, 4, 106, 8, 40, 50, 14, -12, 16, 10, -80, 6, 88, 4, -56, 64, -320, 25, 78, -168, 308, 6, 0, 0, -48, 13, 14, -130, 8, 64, 62, 0, -96, 1, 274, 114, 10, 32, -32, 24, -232, -18, 106, -7, -212, -112, 304, 22, 12, 8, 160, -70, -40, -14, -210, 184, 104, 16, -4, -32, -36, -56, 238, -12, 56, 1, -190, -64, 40, 12, -320, 4, -32, -8, -137, -10, 24, 60, -3, -88, 8, -58, 96, 2, -32, 64, 118, 0, 52, -60, -54, -12, 124, 12, -48, 48, 64, 8, 62, -14, 380, 112, -48, 56, -76, -34, -374, 112, -8, -88, 30, 232, -152, 1, -62, -91, -76, 10, 96, 84, -232, -72, 80, -38, -7, 48, -32, -96, 20, 0, 96, -30, 352, 45, 252, -46, -304, 34, -18, -144, 188, 52, -362, 8, -152, 16, 36, -30, 120, 62, 64, 128, 72, 8, 0, -98, 24, 8, -2, -56, -24, 6, 10, -48, 148, -6, -16, 156, 10, 13, -118, -112, 120, 8, -218, -232, 48, -4, 0, -4, -212, -32, 42, 4, -144, 32, -86, -162, 16, -128, -72, 0, -16, 4, 65, -50, -36, -6, -62, 128, 136, 1, 248, -14, 220, 124, -112, 48, 4, 22, 66, -272, -6, -11, -290, 20, 296, 40, 86, -116, -192, 4, 48, -23, 80, 0, -224, 56, -24, -64, 278, -284, 24, 1], '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: 731585
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 11, 'source_is_minimal': True, 'source_label': '1430.2.a.k', 'source_level': 1430, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 11, 'target_is_minimal': True, 'target_label': '1430.2.a.k', 'target_level': 1430, 'twist_class_label': '1430.2.a.k', 'twist_class_level': 1430, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 731586
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 11, 'source_is_minimal': True, 'source_label': '1430.2.a.k', 'source_level': 1430, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '7150.2.a.a', 'target_level': 7150, 'twist_class_label': '1430.2.a.k', 'twist_class_level': 1430, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1942325
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 45035996307260822, 'p': 2}
  • id: 1942326
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 45035996307260822, 'p': 3}
  • id: 1942327
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 45035996307260822, 'p': 5}
  • id: 1942328
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 45035996307260822, 'p': 7}
  • id: 1942329
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 45035996307260822, 'p': 11}
  • id: 1942330
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 45035996307260822, 'p': 13}
  • id: 1942331
    {'charpoly_factorization': [[[3, 1], 1]], 'hecke_orbit_code': 45035996307260822, 'p': 17}
  • id: 1942332
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 45035996307260822, 'p': 19}
  • id: 1942333
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 45035996307260822, 'p': 23}
  • id: 1942334
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 45035996307260822, 'p': 29}
  • id: 1942335
    {'charpoly_factorization': [[[3, 1], 1]], 'hecke_orbit_code': 45035996307260822, 'p': 31}
  • id: 1942336
    {'charpoly_factorization': [[[-7, 1], 1]], 'hecke_orbit_code': 45035996307260822, 'p': 37}
  • id: 1942337
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 45035996307260822, 'p': 41}
  • id: 1942338
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 45035996307260822, 'p': 43}
  • id: 1942339
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 45035996307260822, 'p': 47}
  • id: 1942340
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 45035996307260822, 'p': 53}
  • id: 1942341
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 45035996307260822, 'p': 59}
  • id: 1942342
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 45035996307260822, 'p': 61}
  • id: 1942343
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 45035996307260822, 'p': 67}
  • id: 1942344
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 45035996307260822, 'p': 71}
  • id: 1942345
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 45035996307260822, 'p': 73}
  • id: 1942346
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 45035996307260822, 'p': 79}
  • id: 1942347
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 45035996307260822, 'p': 83}
  • id: 1942348
    {'charpoly_factorization': [[[3, 1], 1]], 'hecke_orbit_code': 45035996307260822, 'p': 89}
  • id: 1942349
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 45035996307260822, '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': 11, 'label': '1430.2.a.k', 'level': 1430, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 54159853
    {'hecke_orbit_code': 45035996307260822, 'n': 1, 'trace_an': 1}
  • id: 54159854
    {'hecke_orbit_code': 45035996307260822, 'n': 2, 'trace_an': 1}
  • id: 54159855
    {'hecke_orbit_code': 45035996307260822, 'n': 3, 'trace_an': 3}
  • id: 54159856
    {'hecke_orbit_code': 45035996307260822, 'n': 4, 'trace_an': 1}
  • id: 54159857
    {'hecke_orbit_code': 45035996307260822, 'n': 5, 'trace_an': 1}
  • id: 54159858
    {'hecke_orbit_code': 45035996307260822, 'n': 6, 'trace_an': 3}
  • id: 54159859
    {'hecke_orbit_code': 45035996307260822, 'n': 7, 'trace_an': -1}
  • id: 54159860
    {'hecke_orbit_code': 45035996307260822, 'n': 8, 'trace_an': 1}
  • id: 54159861
    {'hecke_orbit_code': 45035996307260822, 'n': 9, 'trace_an': 6}
  • id: 54159862
    {'hecke_orbit_code': 45035996307260822, 'n': 10, 'trace_an': 1}
  • id: 54159863
    {'hecke_orbit_code': 45035996307260822, 'n': 11, 'trace_an': 1}
  • id: 54159864
    {'hecke_orbit_code': 45035996307260822, 'n': 12, 'trace_an': 3}
  • id: 54159865
    {'hecke_orbit_code': 45035996307260822, 'n': 13, 'trace_an': -1}
  • id: 54159866
    {'hecke_orbit_code': 45035996307260822, 'n': 14, 'trace_an': -1}
  • id: 54159867
    {'hecke_orbit_code': 45035996307260822, 'n': 15, 'trace_an': 3}
  • id: 54159868
    {'hecke_orbit_code': 45035996307260822, 'n': 16, 'trace_an': 1}
  • id: 54159869
    {'hecke_orbit_code': 45035996307260822, 'n': 17, 'trace_an': -3}
  • id: 54159870
    {'hecke_orbit_code': 45035996307260822, 'n': 18, 'trace_an': 6}
  • id: 54159871
    {'hecke_orbit_code': 45035996307260822, 'n': 19, 'trace_an': 1}
  • id: 54159872
    {'hecke_orbit_code': 45035996307260822, 'n': 20, 'trace_an': 1}
  • id: 54159873
    {'hecke_orbit_code': 45035996307260822, 'n': 21, 'trace_an': -3}
  • id: 54159874
    {'hecke_orbit_code': 45035996307260822, 'n': 22, 'trace_an': 1}
  • id: 54159875
    {'hecke_orbit_code': 45035996307260822, 'n': 23, 'trace_an': -2}
  • id: 54159876
    {'hecke_orbit_code': 45035996307260822, 'n': 24, 'trace_an': 3}
  • id: 54159877
    {'hecke_orbit_code': 45035996307260822, 'n': 25, 'trace_an': 1}
  • id: 54159878
    {'hecke_orbit_code': 45035996307260822, 'n': 26, 'trace_an': -1}
  • id: 54159879
    {'hecke_orbit_code': 45035996307260822, 'n': 27, 'trace_an': 9}
  • id: 54159880
    {'hecke_orbit_code': 45035996307260822, 'n': 28, 'trace_an': -1}
  • id: 54159881
    {'hecke_orbit_code': 45035996307260822, 'n': 29, 'trace_an': 1}
  • id: 54159882
    {'hecke_orbit_code': 45035996307260822, 'n': 30, 'trace_an': 3}
  • id: 54159883
    {'hecke_orbit_code': 45035996307260822, 'n': 31, 'trace_an': -3}
  • id: 54159884
    {'hecke_orbit_code': 45035996307260822, 'n': 32, 'trace_an': 1}
  • id: 54159885
    {'hecke_orbit_code': 45035996307260822, 'n': 33, 'trace_an': 3}
  • id: 54159886
    {'hecke_orbit_code': 45035996307260822, 'n': 34, 'trace_an': -3}
  • id: 54159887
    {'hecke_orbit_code': 45035996307260822, 'n': 35, 'trace_an': -1}
  • id: 54159888
    {'hecke_orbit_code': 45035996307260822, 'n': 36, 'trace_an': 6}
  • id: 54159889
    {'hecke_orbit_code': 45035996307260822, 'n': 37, 'trace_an': 7}
  • id: 54159890
    {'hecke_orbit_code': 45035996307260822, 'n': 38, 'trace_an': 1}
  • id: 54159891
    {'hecke_orbit_code': 45035996307260822, 'n': 39, 'trace_an': -3}
  • id: 54159892
    {'hecke_orbit_code': 45035996307260822, 'n': 40, 'trace_an': 1}
  • id: 54159893
    {'hecke_orbit_code': 45035996307260822, 'n': 41, 'trace_an': -10}
  • id: 54159894
    {'hecke_orbit_code': 45035996307260822, 'n': 42, 'trace_an': -3}
  • id: 54159895
    {'hecke_orbit_code': 45035996307260822, 'n': 43, 'trace_an': -8}
  • id: 54159896
    {'hecke_orbit_code': 45035996307260822, 'n': 44, 'trace_an': 1}
  • id: 54159897
    {'hecke_orbit_code': 45035996307260822, 'n': 45, 'trace_an': 6}
  • id: 54159898
    {'hecke_orbit_code': 45035996307260822, 'n': 46, 'trace_an': -2}
  • id: 54159899
    {'hecke_orbit_code': 45035996307260822, 'n': 47, 'trace_an': 2}
  • id: 54159900
    {'hecke_orbit_code': 45035996307260822, 'n': 48, 'trace_an': 3}
  • id: 54159901
    {'hecke_orbit_code': 45035996307260822, 'n': 49, 'trace_an': -6}
  • id: 54159902
    {'hecke_orbit_code': 45035996307260822, 'n': 50, 'trace_an': 1}
  • id: 54159903
    {'hecke_orbit_code': 45035996307260822, 'n': 51, 'trace_an': -9}
  • id: 54159904
    {'hecke_orbit_code': 45035996307260822, 'n': 52, 'trace_an': -1}
  • id: 54159905
    {'hecke_orbit_code': 45035996307260822, 'n': 53, 'trace_an': -1}
  • id: 54159906
    {'hecke_orbit_code': 45035996307260822, 'n': 54, 'trace_an': 9}
  • id: 54159907
    {'hecke_orbit_code': 45035996307260822, 'n': 55, 'trace_an': 1}
  • id: 54159908
    {'hecke_orbit_code': 45035996307260822, 'n': 56, 'trace_an': -1}
  • id: 54159909
    {'hecke_orbit_code': 45035996307260822, 'n': 57, 'trace_an': 3}
  • id: 54159910
    {'hecke_orbit_code': 45035996307260822, 'n': 58, 'trace_an': 1}
  • id: 54159911
    {'hecke_orbit_code': 45035996307260822, 'n': 59, 'trace_an': 6}
  • id: 54159912
    {'hecke_orbit_code': 45035996307260822, 'n': 60, 'trace_an': 3}
  • id: 54159913
    {'hecke_orbit_code': 45035996307260822, 'n': 61, 'trace_an': 3}
  • id: 54159914
    {'hecke_orbit_code': 45035996307260822, 'n': 62, 'trace_an': -3}
  • id: 54159915
    {'hecke_orbit_code': 45035996307260822, 'n': 63, 'trace_an': -6}
  • id: 54159916
    {'hecke_orbit_code': 45035996307260822, 'n': 64, 'trace_an': 1}
  • id: 54159917
    {'hecke_orbit_code': 45035996307260822, 'n': 65, 'trace_an': -1}
  • id: 54159918
    {'hecke_orbit_code': 45035996307260822, 'n': 66, 'trace_an': 3}
  • id: 54159919
    {'hecke_orbit_code': 45035996307260822, 'n': 67, 'trace_an': 8}
  • id: 54159920
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  • id: 54159921
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  • id: 54159922
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  • id: 54159923
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  • id: 54159924
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  • id: 54159925
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  • id: 54159926
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  • id: 54159927
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  • id: 54159928
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  • id: 54159929
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  • id: 54159930
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  • id: 54159931
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  • id: 54159932
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  • id: 54159933
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  • id: 54159934
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  • id: 54159935
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  • id: 54159936
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  • id: 54159937
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  • id: 54159938
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  • id: 54159939
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  • id: 54159940
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  • id: 54159941
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  • id: 54159942
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  • id: 54159943
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  • id: 54159944
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  • id: 54159945
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  • id: 54159946
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  • id: 54159947
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  • id: 54159948
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  • id: 54159949
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  • id: 54159950
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  • id: 54159951
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  • id: 54159952
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  • id: 54159953
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  • id: 54159954
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  • id: 54159955
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  • id: 54159956
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  • id: 54159957
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  • id: 54159958
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  • id: 54159959
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  • id: 54159960
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  • id: 54159961
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  • id: 54159962
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  • id: 54159963
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  • id: 54159964
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  • id: 54159965
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  • id: 54159966
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  • id: 54159967
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  • id: 54159968
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  • id: 54159969
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  • id: 54159970
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  • id: 54159971
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  • id: 54159972
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  • id: 54159973
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  • id: 54159974
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  • id: 54159975
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  • id: 54159976
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  • id: 54159977
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  • id: 54159978
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  • id: 54159979
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  • id: 54159980
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  • id: 54159981
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  • id: 54159982
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  • id: 54159983
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  • id: 54159984
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  • id: 54159985
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  • id: 54159986
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  • id: 54159987
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  • id: 54159988
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  • id: 54159989
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  • id: 54159990
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  • id: 54159991
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  • id: 54159992
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  • id: 54159993
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  • id: 54159994
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  • id: 54159995
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  • id: 54159996
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  • id: 54159997
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  • id: 54159998
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  • id: 54159999
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  • id: 54160000
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  • id: 54160001
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  • id: 54160002
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  • id: 54160003
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  • id: 54160004
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  • id: 54160005
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  • id: 54160006
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  • id: 54160007
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  • id: 54160008
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  • id: 54160009
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  • id: 54160010
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  • id: 54160011
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  • id: 54160012
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  • id: 54160013
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  • id: 54160014
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  • id: 54160015
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  • id: 54160016
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  • id: 54160017
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  • id: 54160018
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  • id: 54160019
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  • id: 54160020
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  • id: 54160021
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  • id: 54160022
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  • id: 54160023
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  • id: 54160024
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  • id: 54160025
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  • id: 54160026
    {'hecke_orbit_code': 45035996307260822, 'n': 463, 'trace_an': 22}
  • id: 54160027
    {'hecke_orbit_code': 45035996307260822, 'n': 467, 'trace_an': 3}
  • id: 54160028
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  • id: 54160029
    {'hecke_orbit_code': 45035996307260822, 'n': 487, 'trace_an': 16}
  • id: 54160030
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  • id: 54160031
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  • id: 54160032
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  • id: 54160033
    {'hecke_orbit_code': 45035996307260822, 'n': 509, 'trace_an': -8}
  • id: 54160034
    {'hecke_orbit_code': 45035996307260822, 'n': 512, 'trace_an': 1}
  • id: 54160035
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  • id: 54160036
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  • id: 54160037
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  • id: 54160038
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  • id: 54160039
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  • id: 54160040
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  • id: 54160041
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  • id: 54160042
    {'hecke_orbit_code': 45035996307260822, 'n': 569, 'trace_an': -44}
  • id: 54160043
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  • id: 54160044
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  • id: 54160045
    {'hecke_orbit_code': 45035996307260822, 'n': 587, 'trace_an': -27}
  • id: 54160046
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  • id: 54160047
    {'hecke_orbit_code': 45035996307260822, 'n': 599, 'trace_an': 9}
  • id: 54160048
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  • id: 54160049
    {'hecke_orbit_code': 45035996307260822, 'n': 607, 'trace_an': 41}
  • id: 54160050
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  • id: 54160051
    {'hecke_orbit_code': 45035996307260822, 'n': 617, 'trace_an': 24}
  • id: 54160052
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  • id: 54160053
    {'hecke_orbit_code': 45035996307260822, 'n': 625, 'trace_an': 1}
  • id: 54160054
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  • id: 54160055
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  • id: 54160056
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  • id: 54160057
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  • id: 54160058
    {'hecke_orbit_code': 45035996307260822, 'n': 653, 'trace_an': -31}
  • id: 54160059
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  • id: 54160060
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  • id: 54160061
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  • id: 54160062
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  • id: 54160063
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  • id: 54160064
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  • id: 54160065
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  • id: 54160066
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  • id: 54160067
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  • id: 54160068
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  • id: 54160069
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  • id: 54160070
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  • id: 54160071
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  • id: 54160072
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  • id: 54160073
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  • id: 54160074
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  • id: 54160075
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  • id: 54160076
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  • id: 54160077
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  • id: 54160078
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  • id: 54160079
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  • id: 54160080
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  • id: 54160081
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  • id: 54160082
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  • id: 54160083
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  • id: 54160084
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  • id: 54160085
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  • id: 54160086
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  • id: 54160087
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  • id: 54160088
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  • id: 54160089
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  • id: 54160090
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  • id: 54160091
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  • id: 54160092
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  • id: 54160093
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  • id: 54160094
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  • id: 54160095
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  • id: 54160096
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  • id: 54160097
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  • id: 54160098
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  • id: 54160099
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  • id: 54160100
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  • id: 54160101
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  • id: 54160102
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  • id: 54160103
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  • id: 54160104
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  • id: 54160105
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  • id: 54160106
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  • id: 54160107
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  • id: 54160108
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  • id: 54160109
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  • id: 54160110
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