Newform data - 6600.2.a.s

Formats: - HTML - YAML - JSON - 2024-06-07T02:08:54.817880

• 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': 26400, 'analytic_conductor': 52.701265334045054, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, -1], [5, 1], [11, -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': [6600, 1, [4951, 3301, 2201, 2377, 1201], [1, 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': [[7, [3, 1]], [13, [0, 1]], [17, [-3, 1]], [19, [-3, 1]]], 'hecke_orbit': 19, 'hecke_orbit_code': 81064793326229960, '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': '6600.2.a.s', 'level': 6600, '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, 11], 'level_radical': 330, 'minimal_twist': '6600.2.a.o', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+q^{3}-3q^{7}+q^{9}+q^{11}+3q^{17}+\\cdots', 'related_objects': ['EllipticCurve/Q/6600/s'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '6600.2.a', 'trace_display': [0, 1, 0, -3], 'trace_hash': 212479276674035152, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.014', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.927', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.577', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.015', 'prec': 17}, 'traces': [1, 0, 1, 0, 0, 0, -3, 0, 1, 0, 1, 0, 0, 0, 0, 0, 3, 0, 3, 0, -3, 0, 3, 0, 0, 0, 1, 0, -6, 0, -10, 0, 1, 0, 0, 0, -7, 0, 0, 0, 7, 0, 4, 0, 0, 0, 9, 0, 2, 0, 3, 0, 12, 0, 0, 0, 3, 0, 7, 0, -4, 0, -3, 0, 0, 0, 12, 0, 3, 0, -15, 0, 4, 0, 0, 0, -3, 0, 15, 0, 1, 0, 6, 0, 0, 0, -6, 0, 0, 0, 0, 0, -10, 0, 0, 0, -7, 0, 1, 0, -17, 0, -2, 0, 0, 0, -10, 0, -4, 0, -7, 0, 4, 0, 0, 0, 0, 0, -9, 0, 1, 0, 7, 0, 0, 0, 11, 0, 4, 0, 14, 0, -9, 0, 0, 0, 2, 0, 12, 0, 9, 0, 0, 0, 0, 0, 2, 0, 9, 0, 24, 0, 3, 0, 0, 0, 18, 0, 12, 0, -9, 0, -16, 0, 0, 0, -8, 0, -13, 0, 3, 0, 9, 0, 0, 0, 7, 0, 19, 0, 1, 0, -4, 0, 0, 0, 3, 0, -3, 0, 1, 0, 4, 0, 0, 0, 21, 0, 20, 0, 12, 0, 18, 0, 0, 0, 3, 0, 3, 0, -20, 0, -15, 0, 0, 0, 30, 0, 4, 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0, 27, 0, 78, 0, 0, 0, -77, 0, -24, 0, -31, 0, 51, 0, 0, 0, 0, 0, 21, 0, 57, 0, 0, 0, 0, 0, 38, 0, 3, 0, -30, 0, -36, 0, 0, 0, -36, 0, 72, 0, -6, 0, -39, 0, 0, 0, -6, 0, -64, 0, 48, 0, 69, 0, 0, 0, -78, 0, -10, 0, 14, 0, 10, 0, 0, 0, -98, 0, 0, 0, -48, 0, -78, 0, 0, 0, 9, 0, 46, 0, -105, 0, 41, 0, 0, 0, 98, 0, -36, 0, 33, 0, -105, 0, 0, 0, -3, 0, 102, 0, -2, 0, -3, 0, 0, 0, 0, 0, 58, 0, 27, 0, -4, 0, 0, 0, -57, 0, -27, 0, 0, 0, -59, 0, 0, 0, 0, 0, -6, 0, -27, 0, -69, 0, 0, 0, 12, 0, -77, 0, -90, 0, 48, 0, 0, 0, 0, 0, 24, 0, -5, 0, 54, 0, 0, 0, 12, 0, -8, 0, 14, 0, 28, 0, 0, 0, -7, 0, 58, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_nf •

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

  
  {'an': [[1], [0], [1], [0], [0], [0], [-3], [0], [1], [0], [1], [0], [0], [0], [0], [0], [3], [0], [3], [0], [-3], [0], [3], [0], [0], [0], [1], [0], [-6], [0], [-10], [0], [1], [0], [0], [0], [-7], [0], [0], [0], [7], [0], [4], [0], [0], [0], [9], [0], [2], [0], [3], [0], [12], [0], [0], [0], [3], [0], [7], [0], [-4], [0], [-3], [0], [0], [0], [12], [0], [3], [0], [-15], [0], [4], [0], [0], [0], [-3], [0], [15], [0], [1], [0], [6], [0], [0], [0], [-6], [0], [0], [0], [0], [0], [-10], [0], [0], [0], [-7], [0], [1], [0]], 'ap': [[0], [1], [0], [-3], [1], [0], [3], [3], [3], [-6], [-10], [-7], [7], [4], [9], [12], [7], [-4], [12], [-15], [4], [15], [6], [0], [-7], [-17], [-2], [-10], [-4], [4], [11], [14], [2], [12], [9], [24], [18], [-16], [-8], [9], [19], [1], [1], [4], [21], [20], [-20], [16], [14], [-3], [9], [0], [-10], [0], [22], [10], [-6], [-5], [-8], [11], [-17], [-21], [-4], [-24], [1], [0], [24], [24], [12], [26], [8], [10], [26], [2], [-14], [8], [22], [-14], [-24], [12], [1], [19], [-18], [30], [27], [-15], [-24], [10], [-34], [14], [-36], [12], [2], [2], [-24], [24], [-20], [-42], [1], [-8], [17], [2], [26], [17], [32], [-37], [-27], [26], [-13], [0], [24], [-32], [-18], [42], [-10], [-32], [10], [-19], [6], [-8], [25], [-36], [-38], [-41], [-12], [33], [-35], [-40], [-8], [-8], [25], [-8], [-44], [-2], [-30], [44], [-4], [33], [-10], [-39], [35], [2], [56], [-16], [-14], [0], [42], [-21], [-4], [40], [-14], [4], [-26], [-36], [58], [33], [-25], [16], [-2], [-13], [-31], [3], [-48], [41], [-2], [-27], [48], [14], [-36], [-24], [-38], [14], [6], [-34], [50], [-44], [-41], [-2], [-45], [30], [-54], [26], [-19], [26], [32], [-42], [-26], [36], [-10], [22], [-62], [36], [26], [-42], [-28], [-30], [-32], [30], [-17], [48], [-39], [-16], [-37], [56], [-21], [-34], [6], [42], [45], [44], [-18], [-48], [-10], [-45], [-38], [-13], [-15], [-25], [-29], [38], [50], [40], [-24], [38], [-54], [-46], [68], [-19], [-31], [72], [61], [-7], [-75], [-19], [-68], [36], [31], [11], [-19], [21], [-17], [-37], [-44], [-71], [9], [-48], [-32], [31], [-72], [36], [38], [-5], [-68], [-6], [42], [66], [51], [-32], [26], [-72], [49], [30], [40], [-26], [26], [-10], [82], [6], [5], [49], [65], [4], [-14], [43], [10], [-38], [47], [66], [-38], [28], [-66], [32], [-36], [-34], [60], [-3], [-23], [57], [-70], [23], [40], [63], [57], [50], [74], [18], [28], [42], [12], [39], [-46], [75], [21], [-44], [36], [22], [-67], [-37], [33], [-32], [-62], [-36], [59], [-58], [-74], [-40], [-21], [-42], [-67], [78], [1], [-10], [-51], [26], [-30], [85], [-10], [86], [-30], [-39], [-28], [-26], [-17], [6], [-73], [-49], [14], [42], [29], [77], [35], [-48], [30], [-12], [-14], [-44], [-39], [22], [-80], [52], [-91], [-37], [34], [29], [-68], [-73], [-49], [-12], [-85], [-32], [-26], [51], [-33], [48], [76], [67], [31], [64], [-80], [60], [40], [58], [75], [23], [-11], [-24], [-54], [16], [-30], [-40], [36], [48], [-11], [-62], [8], [41], [-2], [45], [-25], [80], [95], [-8], [27], [-18], [-16], [40], [-33], [54], [-22], [-61], [-80], [92], [72], [18], [77], [37], [6], [-30], [-8], [-7], [78], [-77], [51], [57], [38], [-30], [-64], [-78], [-98], [-78], [46], [98], [-3], [58], [-59], [0], [-69], [-77], [-90], [58]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 81064793326229960, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '6600.2.a.s', 'level': 6600, 'maxp': 2999, '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': [4, 5, 8, 6, 8, 4, 4, 8, 4, 6, 7, 7, 6, 7, 7, 5], 'Nk2': 26400, 'analytic_conductor': 52.701265334045054, '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': [6600, 1, [4951, 3301, 2201, 2377, 1201], [1, 1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1393, 'dim': 96, 'eis_dim': 95, 'eis_new_dim': 0, 'hecke_cutter_primes': [7, 13, 17, 19], 'hecke_orbit_code': 33561032, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 5, 5, 5, 5], 'label': '6600.2.a', 'level': 6600, '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, 11], 'level_radical': 330, 'mf_dim': 1488, 'mf_new_dim': 96, 'num_forms': 53, 'plus_dim': 42, 'prim_orbit_index': 1, 'relative_dim': 96, 'sturm_bound': 2880, 'trace_bound': 17, 'trace_display': [0, 2, 0, 4], 'traces': [96, 0, 2, 0, 0, 0, 4, 0, 96, 0, 0, 0, 0, 0, 0, 0, -4, 0, 4, 0, 4, 0, -4, 0, 0, 0, 2, 0, -36, 0, 0, 0, -2, 0, 0, 0, -8, 0, 4, 0, -44, 0, 12, 0, 0, 0, -4, 0, 104, 0, -8, 0, 4, 0, 0, 0, 4, 0, 8, 0, -32, 0, 4, 0, 0, 0, 8, 0, 4, 0, 36, 0, 8, 0, 0, 0, 0, 0, 60, 0, 96, 0, 16, 0, 0, 0, -8, 0, -24, 0, 16, 0, 0, 0, 0, 0, -8, 0, 0, 0, 68, 0, 8, 0, 0, 0, -72, 0, 88, 0, 44, 0, 8, 0, 0, 0, 0, 0, -32, 0, 96, 0, 8, 0, 0, 0, -60, 0, -4, 0, -24, 0, 8, 0, 0, 0, -64, 0, 76, 0, 20, 0, -4, 0, 0, 0, 26, 0, 116, 0, -12, 0, -4, 0, 0, 0, 32, 0, -8, 0, -88, 0, 48, 0, 0, 0, 88, 0, 120, 0, 4, 0, 20, 0, 0, 0, 32, 0, 0, 0, 120, 0, 44, 0, 0, 0, 20, 0, 4, 0, 44, 0, 0, 0, 0, 0, -20, 0, 56, 0, 24, 0, 16, 0, 0, 0, -4, 0, 12, 0, 52, 0, 12, 0, 0, 0, 32, 0, 68, 0, -16, 0, 64, 0, 0, 0, -8, 0, 0, 0, 0, 0, 60, 0, 0, 0, 20, 0, 8, 0, -16, 0, 2, 0, 0, 0, 80, 0, 8, 0, -48, 0, 8, 0, 0, 0, -48, 0, -24, 0, -36, 0, 48, 0, 0, 0, -12, 0, 188, 0, 36, 0, -24, 0, 0, 0, -128, 0, 0, 0, 12, 0, -4, 0, 0, 0, 16, 0, -8, 0, 28, 0, 68, 0, 0, 0, -2, 0, -56, 0, 64, 0, 16, 0, 0, 0, -60, 0, 56, 0, -36, 0, 48, 0, 0, 0, -12, 0, -4, 0, 16, 0, -24, 0, 0, 0, -28, 0, 24, 0, 64, 0, -8, 0, 0, 0, 120, 0, -28, 0, 0, 0, 8, 0, 0, 0, -144, 0, 8, 0, 4, 0, 64, 0, 0, 0, -64, 0, 8, 0, 56, 0, 2, 0, 0, 0, 16, 0, -44, 0, -176, 0, 40, 0, 0, 0, 112, 0, -88, 0, 92, 0, -4, 0, 0, 0, 12, 0, 148, 0, -32, 0, 48, 0, 0, 0, 72, 0, 112, 0, 104, 0, -32, 0, 0, 0, 24, 0, 224, 0, -4, 0, -80, 0, 0, 0, 4, 0, -64, 0, 16, 0, -4, 0, 0, 0, -40, 0, 8, 0, -32, 0, 16, 0, 0, 0, 120, 0, -36, 0, 104, 0, -8, 0, 0, 0, -64, 0, 112, 0, -28, 0, 52, 0, 0, 0, 40, 0, -8, 0, 124, 0, 120, 0, 0, 0, -16, 0, 24, 0, 76, 0, 12, 0, 0, 0, 4, 0, 16, 0, 80, 0, -56, 0, 0, 0, -152, 0, 48, 0, -56, 0, 96, 0, 0, 0, -104, 0, -112, 0, -40, 0, 24, 0, 0, 0, 22, 0, -68, 0, 152, 0, 4, 0, 0, 0, -16, 0, 8, 0, 120, 0, -20, 0, 0, 0, 32, 0, 136, 0, 8, 0, -32, 0, 0, 0, -40, 0, -16, 0, 120, 0, 36, 0, 0, 0, -68, 0, -32, 0, -112, 0, 8, 0, 0, 0, 36, 0, -32, 0, 8, 0, -48, 0, 0, 0, 4, 0, -44, 0, 108, 0, -60, 0, 0, 0, -152, 0, 20, 0, 32, 0, -8, 0, 0, 0, -24, 0, 40, 0, 32, 0, -60, 0, 0, 0, 40, 0, -268, 0, 8, 0, 8, 0, 0, 0, 84, 0, 48, 0, -152, 0, 40, 0, 0, 0, 40, 0, 24, 0, 4, 0, -24, 0, 0, 0, 12, 0, 72, 0, -24, 0, 68, 0, 0, 0, -96, 0, 36, 0, -272, 0, -32, 0, 0, 0, 28, 0, 40, 0, 120, 0, 92, 0, 0, 0, 8, 0, 0, 0, -40, 0, -8, 0, 0, 0, -80, 0, 24, 0, -28, 0, 16, 0, 0, 0, 172, 0, 192, 0, -64, 0, -144, 0, 0, 0, 44, 0, -200, 0, -16, 0, 0, 0, 0, 0, -48, 0, -24, 0, 44, 0, 56, 0, 0, 0, -96, 0, 256, 0, 60, 0, -96, 0, 0, 0, -40, 0, -244, 0, 0, 0, -20, 0, 0, 0, -104, 0, 96, 0, -104, 0, -160, 0, 0, 0, -56, 0, -60, 0, 88, 0, 136, 0, 0, 0, 16, 0, 16, 0, 72, 0, 88, 0, 0, 0, 40, 0, 0, 0, 132, 0, -56, 0, 0, 0, -96, 0, -136, 0, -36, 0, -92, 0, 0, 0, 8, 0, 40, 0, -8, 0, -8, 0, 0, 0, -36, 0, -32, 0, -168, 0, -40, 0, 0, 0, -36, 0, 160, 0, -24, 0, -24, 0, 0, 0, -56, 0, -196, 0, -140, 0, 44, 0, 0, 0, 0, 0, 16, 0, -188, 0, -144, 0, 0, 0, 144, 0, 144, 0, 52, 0, -196, 0, 0, 0, 0, 0, -20, 0, 104, 0, 48, 0, 0, 0, 4, 0, 12, 0, -376, 0, -8, 0, 0, 0, 164, 0, -320, 0, 8, 0, -76, 0, 0, 0, -26, 0, 40, 0, 216, 0, -8, 0, 0, 0, 264, 0, 24, 0, -288, 0, 120, 0, 0, 0, -136, 0, -48, 0, 0, 0, -56, 0, 0, 0, -8, 0, -48, 0, -24, 0, 152, 0, 0, 0, 224, 0, 68, 0, 12, 0, 16, 0, 0, 0, -64, 0, 76, 0, -76, 0, -120, 0, 0, 0, 8, 0, 184, 0, -228, 0, 68, 0, 0, 0, -32, 0, -108, 0, -44, 0, -80, 0, 0, 0, -24, 0, -192, 0, 88, 0, -44, 0, 0, 0, -8, 0, -104, 0, 48, 0, -72, 0, 0, 0, 52, 0, -32, 0, -248, 0, 168, 0, 0, 0, -80, 0, -64, 0, 88, 0, -116, 0, 0, 0, -56, 0, -200, 0, -152, 0, -104, 0, 0, 0, -8, 0, 44, 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: 1311260
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 19, 'source_is_minimal': True, 'source_label': '6600.2.a.s', 'source_level': 6600, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 15, 'target_is_minimal': True, 'target_label': '6600.2.a.o', 'target_level': 6600, 'twist_class_label': '6600.2.a.o', 'twist_class_level': 6600, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1311261
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 19, 'source_is_minimal': True, 'source_label': '6600.2.a.s', 'source_level': 6600, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 19, 'target_is_minimal': True, 'target_label': '6600.2.a.s', 'target_level': 6600, 'twist_class_label': '6600.2.a.o', 'twist_class_level': 6600, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 1311262
    {'conductor': 5, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 19, 'source_is_minimal': True, 'source_label': '6600.2.a.s', 'source_level': 6600, 'target_char_orbit': 4, 'target_dim': 2, 'target_hecke_orbit': 18, 'target_is_minimal': False, 'target_label': '6600.2.d.r', 'target_level': 6600, 'twist_class_label': '6600.2.a.o', 'twist_class_level': 6600, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 4234275
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 81064793326229960, 'p': 2}
  • id: 4234276
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 81064793326229960, 'p': 3}
  • id: 4234277
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 81064793326229960, 'p': 5}
  • id: 4234278
    {'charpoly_factorization': [[[3, 1], 1]], 'hecke_orbit_code': 81064793326229960, 'p': 7}
  • id: 4234279
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 81064793326229960, 'p': 11}
  • id: 4234280
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 81064793326229960, 'p': 13}
  • id: 4234281
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 81064793326229960, 'p': 17}
  • id: 4234282
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 81064793326229960, 'p': 19}
  • id: 4234283
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 81064793326229960, 'p': 23}
  • id: 4234284
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 81064793326229960, 'p': 29}
  • id: 4234285
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 81064793326229960, 'p': 31}
  • id: 4234286
    {'charpoly_factorization': [[[7, 1], 1]], 'hecke_orbit_code': 81064793326229960, 'p': 37}
  • id: 4234287
    {'charpoly_factorization': [[[-7, 1], 1]], 'hecke_orbit_code': 81064793326229960, 'p': 41}
  • id: 4234288
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 81064793326229960, 'p': 43}
  • id: 4234289
    {'charpoly_factorization': [[[-9, 1], 1]], 'hecke_orbit_code': 81064793326229960, 'p': 47}
  • id: 4234290
    {'charpoly_factorization': [[[-12, 1], 1]], 'hecke_orbit_code': 81064793326229960, 'p': 53}
  • id: 4234291
    {'charpoly_factorization': [[[-7, 1], 1]], 'hecke_orbit_code': 81064793326229960, 'p': 59}
  • id: 4234292
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 81064793326229960, 'p': 61}
  • id: 4234293
    {'charpoly_factorization': [[[-12, 1], 1]], 'hecke_orbit_code': 81064793326229960, 'p': 67}
  • id: 4234294
    {'charpoly_factorization': [[[15, 1], 1]], 'hecke_orbit_code': 81064793326229960, 'p': 71}
  • id: 4234295
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 81064793326229960, 'p': 73}
  • id: 4234296
    {'charpoly_factorization': [[[-15, 1], 1]], 'hecke_orbit_code': 81064793326229960, 'p': 79}
  • id: 4234297
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 81064793326229960, 'p': 83}
  • id: 4234298
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 81064793326229960, 'p': 89}
  • id: 4234299
    {'charpoly_factorization': [[[7, 1], 1]], 'hecke_orbit_code': 81064793326229960, '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': 19, 'label': '6600.2.a.s', 'level': 6600, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 63178759
    {'hecke_orbit_code': 81064793326229960, 'n': 1, 'trace_an': 1}
  • id: 63178760
    {'hecke_orbit_code': 81064793326229960, 'n': 2, 'trace_an': 0}
  • id: 63178761
    {'hecke_orbit_code': 81064793326229960, 'n': 3, 'trace_an': 1}
  • id: 63178762
    {'hecke_orbit_code': 81064793326229960, 'n': 4, 'trace_an': 0}
  • id: 63178763
    {'hecke_orbit_code': 81064793326229960, 'n': 5, 'trace_an': 0}
  • id: 63178764
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  • id: 63178767
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  • id: 63178769
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  • id: 63178770
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  • id: 63178771
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  • id: 63178775
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  • id: 63178776
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  • id: 63178777
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  • id: 63178779
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  • id: 63178780
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  • id: 63178781
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  • id: 63178782
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  • id: 63178783
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  • id: 63178784
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  • id: 63178785
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  • id: 63178787
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  • id: 63178788
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  • id: 63178789
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  • id: 63178790
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  • id: 63178791
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  • id: 63178792
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  • id: 63178793
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  • id: 63178796
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  • id: 63178801
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  • id: 63178802
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  • id: 63178807
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  • id: 63178809
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  • id: 63178810
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  • id: 63178811
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  • id: 63178812
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  • id: 63178813
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  • id: 63178814
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  • id: 63178815
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  • id: 63178816
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  • id: 63178817
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  • id: 63178819
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  • id: 63178820
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  • id: 63178821
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  • id: 63178822
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  • id: 63178823
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  • id: 63178824
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  • id: 63178825
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  • id: 63178826
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  • id: 63178827
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  • id: 63178828
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  • id: 63178829
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  • id: 63178830
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  • id: 63178831
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  • id: 63178832
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  • id: 63178833
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  • id: 63178834
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  • id: 63178835
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  • id: 63178836
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  • id: 63178837
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  • id: 63178838
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  • id: 63178839
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  • id: 63178840
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  • id: 63178841
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  • id: 63178842
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  • id: 63178843
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  • id: 63178844
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  • id: 63178845
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  • id: 63178846
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  • id: 63178847
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  • id: 63178848
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  • id: 63178849
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  • id: 63178850
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  • id: 63178851
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  • id: 63178852
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  • id: 63178853
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  • id: 63178854
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  • id: 63178855
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  • id: 63178856
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  • id: 63178857
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  • id: 63178859
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  • id: 63178860
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  • id: 63178861
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  • id: 63178862
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  • id: 63178863
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  • id: 63178864
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  • id: 63178865
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  • id: 63178866
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  • id: 63178867
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  • id: 63178868
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  • id: 63178869
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  • id: 63178870
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  • id: 63178871
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  • id: 63178872
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  • id: 63178873
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  • id: 63178874
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  • id: 63178875
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  • id: 63178876
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  • id: 63178877
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  • id: 63178878
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  • id: 63178880
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  • id: 63178881
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  • id: 63178882
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  • id: 63178883
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  • id: 63178884
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  • id: 63178885
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  • id: 63178886
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  • id: 63178887
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  • id: 63178888
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  • id: 63178889
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  • id: 63178890
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  • id: 63178891
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  • id: 63178892
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  • id: 63178893
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  • id: 63178894
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  • id: 63178895
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  • id: 63178896
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  • id: 63178897
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  • id: 63178898
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  • id: 63178899
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  • id: 63178900
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  • id: 63178901
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  • id: 63178902
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  • id: 63178903
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  • id: 63178904
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  • id: 63178905
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  • id: 63178906
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  • id: 63178907
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  • id: 63178908
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  • id: 63178909
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  • id: 63178910
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  • id: 63178911
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  • id: 63178912
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  • id: 63178913
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  • id: 63178914
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  • id: 63178915
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  • id: 63178916
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  • id: 63178917
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  • id: 63178918
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  • id: 63178919
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  • id: 63178920
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  • id: 63178921
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  • id: 63178922
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  • id: 63178923
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  • id: 63178924
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  • id: 63178925
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  • id: 63178926
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  • id: 63178927
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  • id: 63178928
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  • id: 63178929
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  • id: 63178930
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  • id: 63178931
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  • id: 63178932
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  • id: 63178933
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  • id: 63178934
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  • id: 63178935
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  • id: 63178936
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  • id: 63178937
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  • id: 63178938
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  • id: 63178939
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  • id: 63178940
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  • id: 63178941
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  • id: 63178942
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  • id: 63178943
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  • id: 63178944
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  • id: 63178945
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  • id: 63178946
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  • id: 63178947
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  • id: 63178948
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  • id: 63178949
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  • id: 63178950
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  • id: 63178951
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  • id: 63178952
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  • id: 63178953
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  • id: 63178954
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  • id: 63178955
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  • id: 63178956
    {'hecke_orbit_code': 81064793326229960, 'n': 613, 'trace_an': -32}
  • id: 63178957
    {'hecke_orbit_code': 81064793326229960, 'n': 617, 'trace_an': -18}
  • id: 63178958
    {'hecke_orbit_code': 81064793326229960, 'n': 619, 'trace_an': 42}
  • id: 63178959
    {'hecke_orbit_code': 81064793326229960, 'n': 625, 'trace_an': 0}
  • id: 63178960
    {'hecke_orbit_code': 81064793326229960, 'n': 631, 'trace_an': -10}
  • id: 63178961
    {'hecke_orbit_code': 81064793326229960, 'n': 641, 'trace_an': -32}
  • id: 63178962
    {'hecke_orbit_code': 81064793326229960, 'n': 643, 'trace_an': 10}
  • id: 63178963
    {'hecke_orbit_code': 81064793326229960, 'n': 647, 'trace_an': -19}
  • id: 63178964
    {'hecke_orbit_code': 81064793326229960, 'n': 653, 'trace_an': 6}
  • id: 63178965
    {'hecke_orbit_code': 81064793326229960, 'n': 659, 'trace_an': -8}
  • id: 63178966
    {'hecke_orbit_code': 81064793326229960, 'n': 661, 'trace_an': 25}
  • id: 63178967
    {'hecke_orbit_code': 81064793326229960, 'n': 673, 'trace_an': -36}
  • id: 63178968
    {'hecke_orbit_code': 81064793326229960, 'n': 677, 'trace_an': -38}
  • id: 63178969
    {'hecke_orbit_code': 81064793326229960, 'n': 683, 'trace_an': -41}
  • id: 63178970
    {'hecke_orbit_code': 81064793326229960, 'n': 691, 'trace_an': -12}
  • id: 63178971
    {'hecke_orbit_code': 81064793326229960, 'n': 701, 'trace_an': 33}
  • id: 63178972
    {'hecke_orbit_code': 81064793326229960, 'n': 709, 'trace_an': -35}
  • id: 63178973
    {'hecke_orbit_code': 81064793326229960, 'n': 719, 'trace_an': -40}
  • id: 63178974
    {'hecke_orbit_code': 81064793326229960, 'n': 727, 'trace_an': -8}
  • id: 63178975
    {'hecke_orbit_code': 81064793326229960, 'n': 729, 'trace_an': 1}
  • id: 63178976
    {'hecke_orbit_code': 81064793326229960, 'n': 733, 'trace_an': -8}
  • id: 63178977
    {'hecke_orbit_code': 81064793326229960, 'n': 739, 'trace_an': 25}
  • id: 63178978
    {'hecke_orbit_code': 81064793326229960, 'n': 743, 'trace_an': -8}
  • id: 63178979
    {'hecke_orbit_code': 81064793326229960, 'n': 751, 'trace_an': -44}
  • id: 63178980
    {'hecke_orbit_code': 81064793326229960, 'n': 757, 'trace_an': -2}
  • id: 63178981
    {'hecke_orbit_code': 81064793326229960, 'n': 761, 'trace_an': -30}
  • id: 63178982
    {'hecke_orbit_code': 81064793326229960, 'n': 769, 'trace_an': 44}
  • id: 63178983
    {'hecke_orbit_code': 81064793326229960, 'n': 773, 'trace_an': -4}
  • id: 63178984
    {'hecke_orbit_code': 81064793326229960, 'n': 787, 'trace_an': 33}
  • id: 63178985
    {'hecke_orbit_code': 81064793326229960, 'n': 797, 'trace_an': -10}
  • id: 63178986
    {'hecke_orbit_code': 81064793326229960, 'n': 809, 'trace_an': -39}
  • id: 63178987
    {'hecke_orbit_code': 81064793326229960, 'n': 811, 'trace_an': 35}
  • id: 63178988
    {'hecke_orbit_code': 81064793326229960, 'n': 821, 'trace_an': 2}
  • id: 63178989
    {'hecke_orbit_code': 81064793326229960, 'n': 823, 'trace_an': 56}
  • id: 63178990
    {'hecke_orbit_code': 81064793326229960, 'n': 827, 'trace_an': -16}
  • id: 63178991
    {'hecke_orbit_code': 81064793326229960, 'n': 829, 'trace_an': -14}
  • id: 63178992
    {'hecke_orbit_code': 81064793326229960, 'n': 839, 'trace_an': 0}
  • id: 63178993
    {'hecke_orbit_code': 81064793326229960, 'n': 841, 'trace_an': 7}
  • id: 63178994
    {'hecke_orbit_code': 81064793326229960, 'n': 853, 'trace_an': 42}
  • id: 63178995
    {'hecke_orbit_code': 81064793326229960, 'n': 857, 'trace_an': -21}
  • id: 63178996
    {'hecke_orbit_code': 81064793326229960, 'n': 859, 'trace_an': -4}
  • id: 63178997
    {'hecke_orbit_code': 81064793326229960, 'n': 863, 'trace_an': 40}
  • id: 63178998
    {'hecke_orbit_code': 81064793326229960, 'n': 877, 'trace_an': -14}
  • id: 63178999
    {'hecke_orbit_code': 81064793326229960, 'n': 881, 'trace_an': 4}
  • id: 63179000
    {'hecke_orbit_code': 81064793326229960, 'n': 883, 'trace_an': -26}
  • id: 63179001
    {'hecke_orbit_code': 81064793326229960, 'n': 887, 'trace_an': -36}
  • id: 63179002
    {'hecke_orbit_code': 81064793326229960, 'n': 907, 'trace_an': 58}
  • id: 63179003
    {'hecke_orbit_code': 81064793326229960, 'n': 911, 'trace_an': 33}
  • id: 63179004
    {'hecke_orbit_code': 81064793326229960, 'n': 919, 'trace_an': -25}
  • id: 63179005
    {'hecke_orbit_code': 81064793326229960, 'n': 929, 'trace_an': 16}
  • id: 63179006
    {'hecke_orbit_code': 81064793326229960, 'n': 937, 'trace_an': -2}
  • id: 63179007
    {'hecke_orbit_code': 81064793326229960, 'n': 941, 'trace_an': -13}
  • id: 63179008
    {'hecke_orbit_code': 81064793326229960, 'n': 947, 'trace_an': -31}
  • id: 63179009
    {'hecke_orbit_code': 81064793326229960, 'n': 953, 'trace_an': 3}
  • id: 63179010
    {'hecke_orbit_code': 81064793326229960, 'n': 961, 'trace_an': 69}
  • id: 63179011
    {'hecke_orbit_code': 81064793326229960, 'n': 967, 'trace_an': -48}
  • id: 63179012
    {'hecke_orbit_code': 81064793326229960, 'n': 971, 'trace_an': 41}
  • id: 63179013
    {'hecke_orbit_code': 81064793326229960, 'n': 977, 'trace_an': -2}
  • id: 63179014
    {'hecke_orbit_code': 81064793326229960, 'n': 983, 'trace_an': -27}
  • id: 63179015
    {'hecke_orbit_code': 81064793326229960, 'n': 991, 'trace_an': 48}
  • id: 63179016
    {'hecke_orbit_code': 81064793326229960, 'n': 997, 'trace_an': 14}