Newform data - 8820.2.a.r

Formats: - HTML - YAML - JSON - 2024-11-15T15:00:44.624378

• 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': 35280, 'analytic_conductor': 70.42805458276929, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, -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': [8820, 1, [4411, 7841, 7057, 1081], [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': [[11, [3, 1]], [13, [-1, 1]], [17, [3, 1]], [31, [8, 1]]], 'hecke_orbit': 18, 'hecke_orbit_code': 76561193698861684, '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': '8820.2.a.r', 'level': 8820, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5, 7], 'level_radical': 210, 'minimal_twist': '140.2.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+q^{5}-3q^{11}+q^{13}-3q^{17}-2q^{19}+\\cdots', 'related_objects': ['EllipticCurve/Q/8820/r'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '8820.2.a', 'trace_display': [0, 0, 1, 0], 'trace_hash': 532122921256380087, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.970', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.913', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.084', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.741', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.022', 'prec': 17}, 'traces': [1, 0, 0, 0, 1, 0, 0, 0, 0, 0, -3, 0, 1, 0, 0, 0, -3, 0, -2, 0, 0, 0, 6, 0, 1, 0, 0, 0, 9, 0, -8, 0, 0, 0, 0, 0, -10, 0, 0, 0, 0, 0, 2, 0, 0, 0, -3, 0, 0, 0, 0, 0, 0, 0, -3, 0, 0, 0, 12, 0, -8, 0, 0, 0, 1, 0, 8, 0, 0, 0, 0, 0, -14, 0, 0, 0, 0, 0, 5, 0, 0, 0, -12, 0, -3, 0, 0, 0, 12, 0, 0, 0, 0, 0, -2, 0, -17, 0, 0, 0, -6, 0, 7, 0, 0, 0, 6, 0, -19, 0, 0, 0, 6, 0, 6, 0, 0, 0, 0, 0, -2, 0, 0, 0, 1, 0, 20, 0, 0, 0, -18, 0, 0, 0, 0, 0, -12, 0, -2, 0, 0, 0, -3, 0, 9, 0, 0, 0, -18, 0, -19, 0, 0, 0, -8, 0, 22, 0, 0, 0, 0, 0, 2, 0, 0, 0, 9, 0, -12, 0, 0, 0, -3, 0, 0, 0, 0, 0, -12, 0, -8, 0, 0, 0, -10, 0, 9, 0, 0, 0, -3, 0, -4, 0, 0, 0, -12, 0, -20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 5, 0, 0, 0, 2, 0, 0, 0, 0, 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0, 0, 0, 0, 0, 0, 0, 22, 0, 0, 0, 120, 0, -50, 0, 0, 0, 66, 0, -54, 0, 0, 0, 0, 0, -24, 0, 0, 0, 60, 0, 9, 0, 0, 0, 16, 0, 0, 0, 0, 0, -27, 0, -11, 0, 0, 0, 45, 0, -54, 0, 0, 0, -60, 0, -33, 0, 0, 0, 30, 0, -20, 0, 0, 0, 0, 0, 16, 0, 0, 0, -48, 0, -44, 0, 0, 0, 63, 0, 0, 0, 0, 0, 0, 0, 9, 0, 0, 0, -24, 0, -2, 0, 0, 0, 22, 0, 136, 0, 0, 0, -48, 0, -108, 0, 0, 0, 0, 0, -76, 0, 0, 0, -45, 0, -2, 0, 0, 0, -24, 0, 0, 0, 0, 0, 1, 0, 37, 0, 0, 0, 60, 0, 36, 0, 0, 0, 66, 0, -25, 0, 0, 0, 0, 0, -3, 0, 0, 0, 0, 0, -25, 0, 0, 0, 2, 0, 80, 0, 0, 0, 120, 0, 0, 0, 0, 0, 24, 0, -20, 0, 0, 0, -45, 0, -30, 0, 0, 0, -87, 0, -63, 0, 0, 0, 10, 0, -4, 0, 0, 0, 0, 0, 54, 0, 0, 0, -9, 0, 26, 0, 0, 0, 33, 0, 0, 0, 0, 0, -105, 0, -44, 0, 0, 0, 1, 0, 0, 0, 0, 0, 48, 0, 10, 0, 0, 0, -90, 0, -28, 0, 0, 0, 0, 0, 30, 0, 0, 0, -24, 0, -72, 0, 0, 0, -25, 0, 0, 0, 0, 0, -171, 0, -59, 0, 0, 0, -36, 0, 88, 0, 0, 0, -18, 0, 20, 0, 0, 0, 24, 0, -62, 0, 0, 0, 0, 0, 68, 0, 0, 0, -24, 0, -56, 0, 0, 0, -12, 0, 0, 0, 0, 0, 12, 0, 30, 0, 0, 0, 60, 0, 24, 0, 0, 0, -41, 0, -82, 0, 0, 0, -9, 0, 45, 0, 0, 0, 0, 0, -19, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36, 0, 9, 0, 0, 0, -84, 0, -77, 0, 0, 0, 30, 0, -61, 0, 0, 0, 6, 0, 6, 0, 0, 0, 0, 0, 71, 0, 0, 0, -18, 0, 54, 0, 0, 0, 12, 0, 0, 0, 0, 0, 6, 0, -18, 0, 0, 0, -120, 0, 33, 0, 0, 0, 111, 0, 71, 0, 0, 0, -8, 0, 13, 0, 0, 0, 0, 0, -52, 0, 0, 0, -48, 0, -16, 0, 0, 0, -69, 0, 0, 0, 0, 0, 18, 0, -44, 0, 0, 0, 54, 0, 0, 0, 0, 0, -6, 0, 44, 0, 0, 0, 66, 0, 36, 0, 0, 0, 0, 0, 24, 0, 0, 0, -72, 0, 17, 0, 0, 0, 20, 0, 0, 0, 0, 0, 105, 0, -89, 0, 0, 0, -39, 0, 152, 0, 0, 0, 60, 0, 15, 0, 0, 0, -42, 0, 4, 0, 0, 0, 0, 0, 10, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 90, 0, -24, 0, 0, 0, 30, 0, -54, 0, 0, 0, -12, 0, -108, 0, 0, 0, 42, 0, 22, 0, 0, 0, 0, 0, 16, 0, 0, 0, -39, 0, 0, 0, 0, 0, 102, 0, 0, 0, 0, 0, 28, 0, 25, 0, 0, 0, 24, 0, 1, 0, 0, 0, -54, 0, 50, 0, 0, 0, -114, 0, -2, 0, 0, 0, 0, 0, 85, 0, 0, 0, 0, 0, -54, 0, 0, 0, 90, 0, 0, 0, 0, 0, 18, 0, -98, 0, 0, 0, -48, 0, -3, 0, 0, 0, -18, 0, -16, 0, 0, 0, 20, 0, -35, 0, 0, 0, 0, 0, 16, 0, 0, 0, 3, 0, 65, 0, 0, 0, -93, 0, 0, 0, 0, 0, -15, 0, -68, 0, 0, 0, -1, 0, 43, 0, 0, 0, 0, 0, -18, 0, 0, 0, -6, 0, 94, 0, 0, 0, 0, 0, -48, 0, 0, 0, -24, 0, 53, 0, 0, 0, -3, 0, 0, 0, 0, 0, -30, 0, 13, 0, 0, 0, -15, 0, 170, 0, 0, 0, 24, 0, -18, 0, 0, 0, -96, 0, -22, 0, 0, 0, 0, 0, 2, 0, 0, 0, 132, 0, 86, 0, 0, 0, -99, 0, 0, 0, 0, 0, -72, 0, 9, 0, 0, 0, 6, 0, -2, 0, 0, 0, -32, 0, 8, 0, 0, 0, -60, 0, -44, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21, 0, -6, 0, 0, 0, 12, 0, 0, 0, 0, 0, 13, 0, 8, 0, 0, 0, -114, 0, -74, 0, 0, 0, 48, 0, -11, 0, 0, 0, 180, 0, -24, 0, 0, 0, 0, 0, -61, 0, 0, 0, 11, 0, -40, 0, 0, 0, -60, 0, 0, 0, 0, 0, -6, 0, -44, 0, 0, 0, -15, 0, -48, 0, 0, 0, -75, 0, 3, 0, 0, 0, -18, 0, -68, 0, 0, 0, 0, 0, 86, 0, 0, 0, 60, 0, 77, 0, 0, 0, 24, 0, 0, 0, 0, 0, 12, 0, 16, 0, 0, 0, 53, 0, -8, 0, 0, 0, -114, 0, 0, 0, 0, 0, 78, 0, 10, 0, 0, 0, 0, 0, -19, 0, 0, 0, 90, 0, 40, 0, 0, 0, -16, 0, 0, 0, 0, 0, 51, 0, -38, 0, 0, 0, -39, 0, -162, 0, 0, 0, -90, 0, -42, 0, 0, 0, -15, 0, -70, 0, 0, 0, 0, 0, 90, 0, 0, 0, 12, 0, -100, 0, 0, 0, 24, 0, 0, 0, 0, 0, 48, 0, 12, 0, 0, 0, -30, 0, 54, 0, 0, 0, -2, 0, -40, 0, 0, 0, 75, 0, -11, 0, 0, 0, 0, 0, 81, 0, 0, 0, 81, 0, 15, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, -77, 0, 0, 0, 0, 0, 45, 0, 0, 0, -72, 0, -31, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 38, 0, 0, 0, -78, 0, 0, 0, 0, 0, 60, 0, 28, 0, 0, 0, -3, 0, 22, 0, 0, 0, 51, 0, 53, 0, 0, 0, -5, 0, -160, 0, 0, 0, 0, 0, 32, 0, 0, 0, 12, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, -60, 0, 72, 0, 0, 0, -8, 0, -11, 0, 0, 0, 45, 0, -108, 0, 0, 0, 0, 0, -18, 0, 0, 0, 0, 0, -3, 0, 0, 0, 6, 0, 13, 0, 0, 0, 9, 0, 0, 0, 0, 0, -63, 0, -35, 0, 0, 0, 117, 0, -10, 0, 0, 0, 24, 0, 42, 0, 0, 0, 36, 0, 52, 0, 0, 0, 0, 0, -4, 0, 0, 0, -18, 0, 190], 'weight': 2, 'weight_parity': 1}
• mf_hecke_nf •

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

  
  {'an': [[1], [0], [0], [0], [1], [0], [0], [0], [0], [0], [-3], [0], [1], [0], [0], [0], [-3], [0], [-2], [0], [0], [0], [6], [0], [1], [0], [0], [0], [9], [0], [-8], [0], [0], [0], [0], [0], [-10], [0], [0], [0], [0], [0], [2], [0], [0], [0], [-3], [0], [0], [0], [0], [0], [0], [0], [-3], [0], [0], [0], [12], [0], [-8], [0], [0], [0], [1], [0], [8], [0], [0], [0], [0], [0], [-14], [0], [0], [0], [0], [0], [5], [0], [0], [0], [-12], [0], [-3], [0], [0], [0], [12], [0], [0], [0], [0], [0], [-2], [0], [-17], [0], [0], [0]], 'ap': [[0], [0], [1], [0], [-3], [1], [-3], [-2], [6], [9], [-8], [-10], [0], [2], [-3], [0], [12], [-8], [8], [0], [-14], [5], [-12], [12], [-17], [-6], [7], [6], [-19], [6], [20], [-18], [-12], [-2], [-18], [-19], [22], [2], [9], [-3], [-12], [-8], [-3], [-4], [-12], [-20], [5], [-17], [-27], [16], [-24], [-9], [10], [6], [-6], [30], [18], [16], [-22], [21], [-11], [-15], [13], [18], [13], [18], [20], [2], [-30], [10], [-15], [0], [-5], [-4], [-4], [36], [-9], [-5], [15], [-26], [-24], [29], [-15], [-14], [10], [6], [-15], [-28], [0], [8], [15], [6], [-10], [15], [-25], [-33], [18], [-30], [-20], [-25], [8], [0], [-12], [6], [-4], [-47], [-24], [-33], [9], [22], [1], [2], [-30], [10], [-25], [30], [-41], [48], [6], [33], [-8], [20], [15], [-24], [28], [-3], [-1], [-18], [-32], [13], [11], [-48], [53], [-16], [-42], [-2], [15], [-5], [-3], [-9], [34], [15], [-40], [42], [40], [18], [22], [6], [4], [-12], [-22], [48], [20], [-48], [-22], [0], [41], [-24], [7], [0], [-36], [-36], [-34], [36], [18], [-33], [-16], [-17], [29], [-42], [-24], [-14], [-27], [62], [46], [-36], [-25], [-9], [-20], [16], [-4], [60], [-10], [42], [36], [-54], [20], [31], [-31], [24], [34], [6], [-7], [-12], [60], [39], [-1], [-64], [45], [33], [-6], [22], [-14], [10], [30], [57], [34], [-12], [42], [40], [32], [18], [-64], [21], [18], [-68], [-22], [24], [42], [-42], [-22], [-2], [51], [-34], [-3], [-10], [57], [9], [-41], [36], [68], [-38], [8], [-9], [-5], [57], [-44], [-24], [-57], [6], [0], [64], [-5], [-34], [-9], [30], [-56], [42], [77], [-42], [-22], [-42], [-48], [16], [-30], [57], [-34], [28], [63], [-47], [26], [6], [16], [-11], [-66], [10], [15], [78], [-40], [30], [-68], [56], [-17], [44], [22], [-29], [36], [2], [17], [-6], [33], [77], [48], [-38], [67], [9], [14], [-66], [-32], [0], [39], [-33], [-12], [0], [-22], [60], [-62], [-9], [-60], [31], [67], [-42], [-61], [-72], [65], [-10], [78], [40], [-24], [68], [0], [21], [-78], [50], [30], [4], [90], [-39], [-5], [75], [-38], [-52], [18], [8], [18], [-8], [41], [76], [-12], [24], [-34], [-48], [94], [51], [-76], [-63], [-43], [-18], [46], [43], [-10], [12], [90], [35], [6], [36], [82], [-28], [78], [-51], [-68], [56], [15], [19], [17], [-30], [30], [18], [30], [-18], [80], [60], [-60], [9], [28], [-46], [69], [62], [-43], [-15], [-56], [-36], [-3], [-62], [2], [48], [69], [25], [54], [37], [18], [6], [-16], [-90], [76], [-39], [-49], [49], [-76], [51], [-31], [33], [-21], [-92], [57], [-40], [-20], [-36], [11], [78], [-68], [-24], [-22], [-87], [84], [-74], [-10], [57], [-44], [-12], [-17], [18], [42], [-28], [-22], [-72], [-39], [100], [30], [-15], [3], [22], [66], [60], [-11], [45], [-60], [30], [-20], [-24], [-2], [-48], [-76], [-45], [37], [60], [-25], [-25], [80], [-20], [-45], [-87], [26], [-105], [-44], [-90], [-59], [-36], [88], [-62], [68], [-24], [12], [60], [-82], [-9], [-19], [-84], [-77], [30], [-61], [71], [111], [71], [13], [-52], [-16], [-69], [18], [-44], [44], [66], [-72], [17], [105], [-89], [-42], [4], [0], [90], [22], [102], [25], [24], [1], [-54], [50], [90], [-98], [-16], [-35], [3], [65], [-93], [-15], [-68], [43], [-6], [94], [53], [-30], [13], [24], [2], [86], [-99], [-72], [-2], [8], [-44], [12], [-114], [-74], [48], [-61], [-40], [-60], [-44], [-75], [-68], [86], [77], [-114], [78], [10], [90], [-38], [-39], [-90], [12], [-100], [48], [-40], [75], [-11], [81], [-77], [0], [-31], [38], [-78], [60], [28], [-3], [51], [53], [32], [12], [-11], [6], [-63], [-35], [117], [24], [36], [52], [-4]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 76561193698861684, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '8820.2.a.r', 'level': 8820, 'maxp': 4027, '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, 0, 0, 0, 0, 7, 7, 7, 7, 9, 12, 11, 9], 'Nk2': 35280, 'analytic_conductor': 70.42805458276929, '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': [8820, 1, [4411, 7841, 7057, 1081], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1921, 'dim': 69, 'eis_dim': 191, 'eis_new_dim': 0, 'hecke_cutter_primes': [11, 13, 17, 31], 'hecke_orbit_code': 33563252, '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, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 4, 4], 'label': '8820.2.a', 'level': 8820, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5, 7], 'level_radical': 210, 'mf_dim': 2112, 'mf_new_dim': 69, 'num_forms': 45, 'plus_dim': 32, 'prim_orbit_index': 1, 'relative_dim': 69, 'sturm_bound': 4032, 'trace_bound': 17, 'trace_display': [0, 0, -1, 0], 'traces': [69, 0, 0, 0, -1, 0, 0, 0, 0, 0, 8, 0, 2, 0, 0, 0, 6, 0, -4, 0, 0, 0, 6, 0, 69, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, -38, 0, 0, 0, 2, 0, -38, 0, 0, 0, -26, 0, 0, 0, 0, 0, 6, 0, 8, 0, 0, 0, 0, 0, 14, 0, 0, 0, 10, 0, -58, 0, 0, 0, -20, 0, -18, 0, 0, 0, 0, 0, -24, 0, 0, 0, -26, 0, -10, 0, 0, 0, -6, 0, 0, 0, 0, 0, -4, 0, -6, 0, 0, 0, 6, 0, 6, 0, 0, 0, 66, 0, -26, 0, 0, 0, -2, 0, 2, 0, 0, 0, 0, 0, 81, 0, 0, 0, -1, 0, 26, 0, 0, 0, -28, 0, 0, 0, 0, 0, 6, 0, -16, 0, 0, 0, -4, 0, 6, 0, 0, 0, 10, 0, 36, 0, 0, 0, 4, 0, 46, 0, 0, 0, 0, 0, 6, 0, 0, 0, 30, 0, 67, 0, 0, 0, 22, 0, 0, 0, 0, 0, 108, 0, 6, 0, 0, 0, -14, 0, -60, 0, 0, 0, -44, 0, -38, 0, 0, 0, 30, 0, -36, 0, 0, 0, 0, 0, -10, 0, 0, 0, -8, 0, 8, 0, 0, 0, 18, 0, 0, 0, 0, 0, -4, 0, 30, 0, 0, 0, 14, 0, -18, 0, 0, 0, 78, 0, -2, 0, 0, 0, -8, 0, 6, 0, 0, 0, 0, 0, 80, 0, 0, 0, 116, 0, 56, 0, 0, 0, 18, 0, 0, 0, 0, 0, -66, 0, 14, 0, 0, 0, 38, 0, -4, 0, 0, 0, 8, 0, -6, 0, 0, 0, 82, 0, 70, 0, 0, 0, 0, 0, 55, 0, 0, 0, -98, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, -18, 0, 2, 0, 0, 0, 12, 0, 10, 0, 0, 0, -50, 0, 0, 0, 0, 0, 144, 0, 2, 0, 0, 0, 0, 0, 136, 0, 0, 0, -38, 0, -6, 0, 0, 0, -4, 0, 0, 0, 0, 0, 2, 0, 58, 0, 0, 0, -26, 0, 12, 0, 0, 0, -24, 0, 169, 0, 0, 0, 26, 0, 2, 0, 0, 0, 0, 0, 2, 0, 0, 0, 32, 0, 12, 0, 0, 0, 78, 0, 0, 0, 0, 0, 22, 0, -40, 0, 0, 0, 0, 0, 50, 0, 0, 0, -6, 0, 112, 0, 0, 0, -64, 0, 82, 0, 0, 0, 0, 0, -26, 0, 0, 0, 48, 0, 70, 0, 0, 0, 6, 0, 0, 0, 0, 0, -68, 0, 78, 0, 0, 0, -48, 0, 36, 0, 0, 0, 86, 0, 2, 0, 0, 0, -98, 0, -52, 0, 0, 0, 0, 0, 2, 0, 0, 0, 86, 0, 2, 0, 0, 0, 6, 0, 0, 0, 0, 0, -8, 0, -4, 0, 0, 0, -12, 0, -8, 0, 0, 0, -38, 0, 2, 0, 0, 0, -72, 0, -32, 0, 0, 0, 0, 0, -92, 0, 0, 0, -118, 0, 22, 0, 0, 0, 26, 0, 0, 0, 0, 0, -94, 0, -60, 0, 0, 0, 26, 0, -102, 0, 0, 0, 56, 0, 37, 0, 0, 0, 100, 0, 10, 0, 0, 0, 0, 0, 18, 0, 0, 0, -50, 0, 102, 0, 0, 0, -80, 0, 0, 0, 0, 0, 134, 0, -12, 0, 0, 0, -58, 0, -34, 0, 0, 0, 146, 0, -96, 0, 0, 0, 6, 0, -134, 0, 0, 0, 0, 0, 48, 0, 0, 0, 50, 0, -24, 0, 0, 0, 22, 0, 0, 0, 0, 0, 96, 0, -110, 0, 0, 0, -37, 0, 74, 0, 0, 0, -300, 0, 122, 0, 0, 0, 158, 0, 0, 0, 0, 0, 0, 0, 69, 0, 0, 0, 48, 0, 196, 0, 0, 0, 10, 0, 0, 0, 0, 0, -114, 0, 54, 0, 0, 0, 114, 0, -108, 0, 0, 0, 38, 0, 64, 0, 0, 0, 68, 0, 94, 0, 0, 0, 0, 0, -48, 0, 0, 0, 144, 0, -166, 0, 0, 0, -42, 0, 0, 0, 0, 0, 38, 0, 10, 0, 0, 0, 72, 0, -8, 0, 0, 0, 68, 0, -28, 0, 0, 0, -294, 0, -16, 0, 0, 0, 0, 0, 130, 0, 0, 0, -208, 0, -88, 0, 0, 0, -20, 0, 0, 0, 0, 0, -2, 0, 22, 0, 0, 0, 12, 0, -46, 0, 0, 0, -192, 0, 44, 0, 0, 0, 46, 0, 34, 0, 0, 0, 0, 0, 76, 0, 0, 0, -76, 0, 146, 0, 0, 0, -66, 0, 0, 0, 0, 0, 112, 0, -10, 0, 0, 0, -34, 0, 0, 0, 0, 0, -152, 0, -272, 0, 0, 0, 34, 0, -30, 0, 0, 0, 0, 0, 12, 0, 0, 0, 102, 0, 44, 0, 0, 0, -16, 0, 0, 0, 0, 0, -54, 0, 4, 0, 0, 0, 6, 0, -40, 0, 0, 0, -50, 0, 106, 0, 0, 0, 58, 0, -46, 0, 0, 0, 0, 0, -14, 0, 0, 0, -12, 0, 159, 0, 0, 0, 1, 0, 0, 0, 0, 0, 68, 0, 110, 0, 0, 0, -22, 0, 68, 0, 0, 0, 302, 0, -50, 0, 0, 0, 280, 0, 40, 0, 0, 0, 0, 0, 202, 0, 0, 0, 158, 0, -154, 0, 0, 0, -38, 0, 0, 0, 0, 0, -72, 0, 12, 0, 0, 0, -140, 0, 32, 0, 0, 0, 74, 0, -34, 0, 0, 0, 44, 0, 80, 0, 0, 0, 0, 0, -16, 0, 0, 0, -192, 0, -38, 0, 0, 0, -54, 0, 0, 0, 0, 0, -144, 0, 34, 0, 0, 0, 110, 0, -12, 0, 0, 0, 34, 0, 76, 0, 0, 0, 134, 0, -28, 0, 0, 0, 0, 0, -83, 0, 0, 0, -74, 0, -34, 0, 0, 0, -92, 0, 0, 0, 0, 0, 510, 0, -80, 0, 0, 0, -46, 0, -34, 0, 0, 0, 192, 0, -20, 0, 0, 0, -8, 0, 138, 0, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_nf •

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

  
  
  • id: 1407297
    {'conductor': 21, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '8820.2.a.r', 'source_level': 8820, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '140.2.a.a', 'target_level': 140, 'twist_class_label': '140.2.a.a', 'twist_class_level': 140, 'twisting_char_label': '21.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 1407298
    {'conductor': 84, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '8820.2.a.r', 'source_level': 8820, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '560.2.a.c', 'target_level': 560, 'twist_class_label': '140.2.a.a', 'twist_class_level': 140, 'twisting_char_label': '84.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 1407299
    {'conductor': 105, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '8820.2.a.r', 'source_level': 8820, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '700.2.a.d', 'target_level': 700, 'twist_class_label': '140.2.a.a', 'twist_class_level': 140, 'twisting_char_label': '105.g', 'twisting_char_orbit': 7, 'weight': 2}
  • id: 1407300
    {'conductor': 105, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '8820.2.a.r', 'source_level': 8820, 'target_char_orbit': 5, 'target_dim': 2, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '700.2.e.c', 'target_level': 700, 'twist_class_label': '140.2.a.a', 'twist_class_level': 140, 'twisting_char_label': '105.k', 'twisting_char_orbit': 11, 'weight': 2}
  • id: 1407301
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '8820.2.a.r', 'source_level': 8820, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '980.2.a.c', 'target_level': 980, 'twist_class_label': '140.2.a.a', 'twist_class_level': 140, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1407302
    {'conductor': 21, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '8820.2.a.r', 'source_level': 8820, 'target_char_orbit': 9, 'target_dim': 2, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '980.2.i.d', 'target_level': 980, 'twist_class_label': '140.2.a.a', 'twist_class_level': 140, 'twisting_char_label': '21.g', 'twisting_char_orbit': 7, 'weight': 2}
  • id: 1407303
    {'conductor': 21, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '8820.2.a.r', 'source_level': 8820, 'target_char_orbit': 9, 'target_dim': 2, 'target_hecke_orbit': 8, 'target_is_minimal': False, 'target_label': '980.2.i.h', 'target_level': 980, 'twist_class_label': '140.2.a.a', 'twist_class_level': 140, 'twisting_char_label': '21.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 1407304
    {'conductor': 7, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '8820.2.a.r', 'source_level': 8820, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '1260.2.a.c', 'target_level': 1260, 'twist_class_label': '140.2.a.a', 'twist_class_level': 140, 'twisting_char_label': '7.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1407305
    {'conductor': 168, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '8820.2.a.r', 'source_level': 8820, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 7, 'target_is_minimal': False, 'target_label': '2240.2.a.g', 'target_level': 2240, 'twist_class_label': '140.2.a.a', 'twist_class_level': 140, 'twisting_char_label': '168.i', 'twisting_char_orbit': 9, 'weight': 2}
  • id: 1407306
    {'conductor': 168, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '8820.2.a.r', 'source_level': 8820, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 18, 'target_is_minimal': False, 'target_label': '2240.2.a.r', 'target_level': 2240, 'twist_class_label': '140.2.a.a', 'twist_class_level': 140, 'twisting_char_label': '168.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 1407307
    {'conductor': 420, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '8820.2.a.r', 'source_level': 8820, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 25, 'target_is_minimal': False, 'target_label': '2800.2.a.y', 'target_level': 2800, 'twist_class_label': '140.2.a.a', 'twist_class_level': 140, 'twisting_char_label': '420.o', 'twisting_char_orbit': 15, 'weight': 2}
  • id: 1407308
    {'conductor': 420, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '8820.2.a.r', 'source_level': 8820, 'target_char_orbit': 7, 'target_dim': 2, 'target_hecke_orbit': 10, 'target_is_minimal': False, 'target_label': '2800.2.g.j', 'target_level': 2800, 'twist_class_label': '140.2.a.a', 'twist_class_level': 140, 'twisting_char_label': '420.w', 'twisting_char_orbit': 23, 'weight': 2}
  • id: 1407309
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '8820.2.a.r', 'source_level': 8820, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 21, 'target_is_minimal': False, 'target_label': '3920.2.a.u', 'target_level': 3920, 'twist_class_label': '140.2.a.a', 'twist_class_level': 140, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1407310
    {'conductor': 15, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '8820.2.a.r', 'source_level': 8820, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 16, 'target_is_minimal': False, 'target_label': '4900.2.a.p', 'target_level': 4900, 'twist_class_label': '140.2.a.a', 'twist_class_level': 140, 'twisting_char_label': '15.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 1407311
    {'conductor': 15, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '8820.2.a.r', 'source_level': 8820, 'target_char_orbit': 5, 'target_dim': 2, 'target_hecke_orbit': 12, 'target_is_minimal': False, 'target_label': '4900.2.e.l', 'target_level': 4900, 'twist_class_label': '140.2.a.a', 'twist_class_level': 140, 'twisting_char_label': '15.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 1407312
    {'conductor': 28, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '8820.2.a.r', 'source_level': 8820, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 8, 'target_is_minimal': False, 'target_label': '5040.2.a.h', 'target_level': 5040, 'twist_class_label': '140.2.a.a', 'twist_class_level': 140, 'twisting_char_label': '28.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 1407313
    {'conductor': 35, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '8820.2.a.r', 'source_level': 8820, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '6300.2.a.d', 'target_level': 6300, 'twist_class_label': '140.2.a.a', 'twist_class_level': 140, 'twisting_char_label': '35.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 1407314
    {'conductor': 35, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '8820.2.a.r', 'source_level': 8820, 'target_char_orbit': 11, 'target_dim': 2, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '6300.2.k.c', 'target_level': 6300, 'twist_class_label': '140.2.a.a', 'twist_class_level': 140, 'twisting_char_label': '35.f', 'twisting_char_orbit': 6, 'weight': 2}
  • id: 1407315
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '8820.2.a.r', 'source_level': 8820, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 18, 'target_is_minimal': False, 'target_label': '8820.2.a.r', 'target_level': 8820, 'twist_class_label': '140.2.a.a', 'twist_class_level': 140, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 4857250
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 76561193698861684, 'p': 2}
  • id: 4857251
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 76561193698861684, 'p': 3}
  • id: 4857252
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 76561193698861684, 'p': 5}
  • id: 4857253
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 76561193698861684, 'p': 7}
  • id: 4857254
    {'charpoly_factorization': [[[3, 1], 1]], 'hecke_orbit_code': 76561193698861684, 'p': 11}
  • id: 4857255
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 76561193698861684, 'p': 13}
  • id: 4857256
    {'charpoly_factorization': [[[3, 1], 1]], 'hecke_orbit_code': 76561193698861684, 'p': 17}
  • id: 4857257
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 76561193698861684, 'p': 19}
  • id: 4857258
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 76561193698861684, 'p': 23}
  • id: 4857259
    {'charpoly_factorization': [[[-9, 1], 1]], 'hecke_orbit_code': 76561193698861684, 'p': 29}
  • id: 4857260
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 76561193698861684, 'p': 31}
  • id: 4857261
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 76561193698861684, 'p': 37}
  • id: 4857262
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 76561193698861684, 'p': 41}
  • id: 4857263
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 76561193698861684, 'p': 43}
  • id: 4857264
    {'charpoly_factorization': [[[3, 1], 1]], 'hecke_orbit_code': 76561193698861684, 'p': 47}
  • id: 4857265
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 76561193698861684, 'p': 53}
  • id: 4857266
    {'charpoly_factorization': [[[-12, 1], 1]], 'hecke_orbit_code': 76561193698861684, 'p': 59}
  • id: 4857267
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 76561193698861684, 'p': 61}
  • id: 4857268
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 76561193698861684, 'p': 67}
  • id: 4857269
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 76561193698861684, 'p': 71}
  • id: 4857270
    {'charpoly_factorization': [[[14, 1], 1]], 'hecke_orbit_code': 76561193698861684, 'p': 73}
  • id: 4857271
    {'charpoly_factorization': [[[-5, 1], 1]], 'hecke_orbit_code': 76561193698861684, 'p': 79}
  • id: 4857272
    {'charpoly_factorization': [[[12, 1], 1]], 'hecke_orbit_code': 76561193698861684, 'p': 83}
  • id: 4857273
    {'charpoly_factorization': [[[-12, 1], 1]], 'hecke_orbit_code': 76561193698861684, 'p': 89}
  • id: 4857274
    {'charpoly_factorization': [[[17, 1], 1]], 'hecke_orbit_code': 76561193698861684, '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': 18, 'label': '8820.2.a.r', 'level': 8820, '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: 62602387
    {'hecke_orbit_code': 76561193698861684, 'n': 1, 'trace_an': 1}
  • id: 62602388
    {'hecke_orbit_code': 76561193698861684, 'n': 2, 'trace_an': 0}
  • id: 62602389
    {'hecke_orbit_code': 76561193698861684, 'n': 3, 'trace_an': 0}
  • id: 62602390
    {'hecke_orbit_code': 76561193698861684, 'n': 4, 'trace_an': 0}
  • id: 62602391
    {'hecke_orbit_code': 76561193698861684, 'n': 5, 'trace_an': 1}
  • id: 62602392
    {'hecke_orbit_code': 76561193698861684, 'n': 6, 'trace_an': 0}
  • id: 62602393
    {'hecke_orbit_code': 76561193698861684, 'n': 7, 'trace_an': 0}
  • id: 62602394
    {'hecke_orbit_code': 76561193698861684, 'n': 8, 'trace_an': 0}
  • id: 62602395
    {'hecke_orbit_code': 76561193698861684, 'n': 9, 'trace_an': 0}
  • id: 62602396
    {'hecke_orbit_code': 76561193698861684, 'n': 10, 'trace_an': 0}
  • id: 62602397
    {'hecke_orbit_code': 76561193698861684, 'n': 11, 'trace_an': -3}
  • id: 62602398
    {'hecke_orbit_code': 76561193698861684, 'n': 12, 'trace_an': 0}
  • id: 62602399
    {'hecke_orbit_code': 76561193698861684, 'n': 13, 'trace_an': 1}
  • id: 62602400
    {'hecke_orbit_code': 76561193698861684, 'n': 14, 'trace_an': 0}
  • id: 62602401
    {'hecke_orbit_code': 76561193698861684, 'n': 15, 'trace_an': 0}
  • id: 62602402
    {'hecke_orbit_code': 76561193698861684, 'n': 16, 'trace_an': 0}
  • id: 62602403
    {'hecke_orbit_code': 76561193698861684, 'n': 17, 'trace_an': -3}
  • id: 62602404
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  • id: 62602405
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  • id: 62602406
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  • id: 62602407
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  • id: 62602408
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  • id: 62602409
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  • id: 62602410
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  • id: 62602411
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  • id: 62602412
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  • id: 62602413
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  • id: 62602414
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  • id: 62602415
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  • id: 62602416
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  • id: 62602417
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  • id: 62602418
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  • id: 62602419
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  • id: 62602420
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  • id: 62602421
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  • id: 62602422
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  • id: 62602423
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  • id: 62602424
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  • id: 62602425
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  • id: 62602426
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  • id: 62602427
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  • id: 62602428
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  • id: 62602429
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  • id: 62602430
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  • id: 62602431
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  • id: 62602432
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  • id: 62602433
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  • id: 62602434
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  • id: 62602435
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  • id: 62602436
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  • id: 62602437
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  • id: 62602438
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  • id: 62602439
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  • id: 62602440
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  • id: 62602441
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  • id: 62602442
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  • id: 62602443
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  • id: 62602444
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  • id: 62602445
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  • id: 62602446
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  • id: 62602447
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  • id: 62602448
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  • id: 62602449
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  • id: 62602450
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  • id: 62602451
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  • id: 62602452
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  • id: 62602453
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  • id: 62602454
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  • id: 62602455
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  • id: 62602456
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  • id: 62602457
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  • id: 62602458
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  • id: 62602459
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  • id: 62602460
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  • id: 62602461
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  • id: 62602462
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  • id: 62602463
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  • id: 62602464
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  • id: 62602465
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  • id: 62602466
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  • id: 62602467
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  • id: 62602468
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  • id: 62602469
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  • id: 62602470
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  • id: 62602471
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  • id: 62602472
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  • id: 62602473
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  • id: 62602474
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  • id: 62602475
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  • id: 62602476
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  • id: 62602477
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  • id: 62602478
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  • id: 62602479
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  • id: 62602480
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  • id: 62602481
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  • id: 62602482
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  • id: 62602483
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  • id: 62602484
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  • id: 62602485
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  • id: 62602486
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  • id: 62602487
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  • id: 62602488
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  • id: 62602489
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  • id: 62602490
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  • id: 62602491
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  • id: 62602492
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  • id: 62602493
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  • id: 62602494
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  • id: 62602495
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  • id: 62602496
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  • id: 62602497
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  • id: 62602498
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  • id: 62602499
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  • id: 62602500
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  • id: 62602501
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  • id: 62602502
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  • id: 62602503
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  • id: 62602504
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  • id: 62602505
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  • id: 62602506
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  • id: 62602507
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  • id: 62602508
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  • id: 62602509
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  • id: 62602510
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  • id: 62602511
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  • id: 62602512
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  • id: 62602513
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  • id: 62602514
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  • id: 62602515
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  • id: 62602516
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  • id: 62602517
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  • id: 62602518
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  • id: 62602519
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  • id: 62602520
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  • id: 62602521
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  • id: 62602522
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  • id: 62602523
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  • id: 62602524
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  • id: 62602525
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  • id: 62602526
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  • id: 62602527
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  • id: 62602528
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  • id: 62602529
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  • id: 62602530
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  • id: 62602531
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  • id: 62602532
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  • id: 62602533
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  • id: 62602534
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  • id: 62602535
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  • id: 62602536
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  • id: 62602537
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  • id: 62602538
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  • id: 62602539
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  • id: 62602540
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  • id: 62602541
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  • id: 62602542
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  • id: 62602543
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  • id: 62602544
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  • id: 62602545
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  • id: 62602546
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  • id: 62602547
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  • id: 62602548
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  • id: 62602549
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  • id: 62602550
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  • id: 62602551
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  • id: 62602552
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  • id: 62602553
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  • id: 62602554
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  • id: 62602555
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  • id: 62602556
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  • id: 62602557
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  • id: 62602558
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  • id: 62602559
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  • id: 62602560
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  • id: 62602561
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  • id: 62602562
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  • id: 62602563
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  • id: 62602564
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  • id: 62602565
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  • id: 62602566
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  • id: 62602567
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  • id: 62602568
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  • id: 62602569
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  • id: 62602570
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  • id: 62602571
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  • id: 62602572
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  • id: 62602573
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  • id: 62602574
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  • id: 62602575
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  • id: 62602576
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  • id: 62602577
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  • id: 62602578
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  • id: 62602579
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  • id: 62602580
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  • id: 62602581
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  • id: 62602582
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  • id: 62602583
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  • id: 62602584
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  • id: 62602585
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  • id: 62602586
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  • id: 62602587
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  • id: 62602588
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  • id: 62602589
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  • id: 62602590
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  • id: 62602591
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  • id: 62602592
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  • id: 62602593
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  • id: 62602594
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  • id: 62602595
    {'hecke_orbit_code': 76561193698861684, 'n': 673, 'trace_an': 20}
  • id: 62602596
    {'hecke_orbit_code': 76561193698861684, 'n': 677, 'trace_an': 15}
  • id: 62602597
    {'hecke_orbit_code': 76561193698861684, 'n': 683, 'trace_an': -24}
  • id: 62602598
    {'hecke_orbit_code': 76561193698861684, 'n': 691, 'trace_an': 28}
  • id: 62602599
    {'hecke_orbit_code': 76561193698861684, 'n': 701, 'trace_an': -3}
  • id: 62602600
    {'hecke_orbit_code': 76561193698861684, 'n': 709, 'trace_an': -1}
  • id: 62602601
    {'hecke_orbit_code': 76561193698861684, 'n': 719, 'trace_an': -18}
  • id: 62602602
    {'hecke_orbit_code': 76561193698861684, 'n': 727, 'trace_an': -32}
  • id: 62602603
    {'hecke_orbit_code': 76561193698861684, 'n': 729, 'trace_an': 0}
  • id: 62602604
    {'hecke_orbit_code': 76561193698861684, 'n': 733, 'trace_an': 13}
  • id: 62602605
    {'hecke_orbit_code': 76561193698861684, 'n': 739, 'trace_an': 11}
  • id: 62602606
    {'hecke_orbit_code': 76561193698861684, 'n': 743, 'trace_an': -48}
  • id: 62602607
    {'hecke_orbit_code': 76561193698861684, 'n': 751, 'trace_an': 53}
  • id: 62602608
    {'hecke_orbit_code': 76561193698861684, 'n': 757, 'trace_an': -16}
  • id: 62602609
    {'hecke_orbit_code': 76561193698861684, 'n': 761, 'trace_an': -42}
  • id: 62602610
    {'hecke_orbit_code': 76561193698861684, 'n': 769, 'trace_an': -2}
  • id: 62602611
    {'hecke_orbit_code': 76561193698861684, 'n': 773, 'trace_an': 15}
  • id: 62602612
    {'hecke_orbit_code': 76561193698861684, 'n': 787, 'trace_an': -5}
  • id: 62602613
    {'hecke_orbit_code': 76561193698861684, 'n': 797, 'trace_an': -3}
  • id: 62602614
    {'hecke_orbit_code': 76561193698861684, 'n': 809, 'trace_an': -9}
  • id: 62602615
    {'hecke_orbit_code': 76561193698861684, 'n': 811, 'trace_an': 34}
  • id: 62602616
    {'hecke_orbit_code': 76561193698861684, 'n': 821, 'trace_an': 15}
  • id: 62602617
    {'hecke_orbit_code': 76561193698861684, 'n': 823, 'trace_an': -40}
  • id: 62602618
    {'hecke_orbit_code': 76561193698861684, 'n': 827, 'trace_an': 42}
  • id: 62602619
    {'hecke_orbit_code': 76561193698861684, 'n': 829, 'trace_an': 40}
  • id: 62602620
    {'hecke_orbit_code': 76561193698861684, 'n': 839, 'trace_an': 18}
  • id: 62602621
    {'hecke_orbit_code': 76561193698861684, 'n': 841, 'trace_an': 52}
  • id: 62602622
    {'hecke_orbit_code': 76561193698861684, 'n': 853, 'trace_an': 22}
  • id: 62602623
    {'hecke_orbit_code': 76561193698861684, 'n': 857, 'trace_an': 6}
  • id: 62602624
    {'hecke_orbit_code': 76561193698861684, 'n': 859, 'trace_an': 4}
  • id: 62602625
    {'hecke_orbit_code': 76561193698861684, 'n': 863, 'trace_an': -12}
  • id: 62602626
    {'hecke_orbit_code': 76561193698861684, 'n': 877, 'trace_an': -22}
  • id: 62602627
    {'hecke_orbit_code': 76561193698861684, 'n': 881, 'trace_an': 48}
  • id: 62602628
    {'hecke_orbit_code': 76561193698861684, 'n': 883, 'trace_an': 20}
  • id: 62602629
    {'hecke_orbit_code': 76561193698861684, 'n': 887, 'trace_an': -48}
  • id: 62602630
    {'hecke_orbit_code': 76561193698861684, 'n': 907, 'trace_an': -22}
  • id: 62602631
    {'hecke_orbit_code': 76561193698861684, 'n': 911, 'trace_an': 0}
  • id: 62602632
    {'hecke_orbit_code': 76561193698861684, 'n': 919, 'trace_an': 41}
  • id: 62602633
    {'hecke_orbit_code': 76561193698861684, 'n': 929, 'trace_an': -24}
  • id: 62602634
    {'hecke_orbit_code': 76561193698861684, 'n': 937, 'trace_an': 7}
  • id: 62602635
    {'hecke_orbit_code': 76561193698861684, 'n': 941, 'trace_an': 0}
  • id: 62602636
    {'hecke_orbit_code': 76561193698861684, 'n': 947, 'trace_an': -36}
  • id: 62602637
    {'hecke_orbit_code': 76561193698861684, 'n': 953, 'trace_an': -36}
  • id: 62602638
    {'hecke_orbit_code': 76561193698861684, 'n': 961, 'trace_an': 33}
  • id: 62602639
    {'hecke_orbit_code': 76561193698861684, 'n': 967, 'trace_an': -34}
  • id: 62602640
    {'hecke_orbit_code': 76561193698861684, 'n': 971, 'trace_an': 36}
  • id: 62602641
    {'hecke_orbit_code': 76561193698861684, 'n': 977, 'trace_an': 18}
  • id: 62602642
    {'hecke_orbit_code': 76561193698861684, 'n': 983, 'trace_an': -33}
  • id: 62602643
    {'hecke_orbit_code': 76561193698861684, 'n': 991, 'trace_an': -16}
  • id: 62602644
    {'hecke_orbit_code': 76561193698861684, 'n': 997, 'trace_an': -17}