Newform data - 4950.2.a.y

Formats: - HTML - YAML - JSON - 2025-09-14T03:30:30.729167

• 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': 19800, 'analytic_conductor': 39.52594900053379, 'analytic_rank': 1, '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': [4950, 1, [551, 2377, 4501], [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, [4, 1]], [13, [-5, 1]], [17, [0, 1]], [19, [7, 1]], [23, [3, 1]]], 'hecke_orbit': 25, 'hecke_orbit_code': 108086391090451286, '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': '4950.2.a.y', 'level': 4950, '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': '550.2.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+q^{2}+q^{4}-4q^{7}+q^{8}+q^{11}+5q^{13}+\\cdots', 'related_objects': ['EllipticCurve/Q/4950/y'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '4950.2.a', 'trace_display': [1, 0, 0, -4], 'trace_hash': 1314670307372029785, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.982', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.968', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.987', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.019', 'prec': 17}, 'traces': [1, 1, 0, 1, 0, 0, -4, 1, 0, 0, 1, 0, 5, -4, 0, 1, 0, 0, -7, 0, 0, 1, -3, 0, 0, 5, 0, -4, -3, 0, 5, 1, 0, 0, 0, 0, -4, -7, 0, 0, -12, 0, 5, 1, 0, -3, 0, 0, 9, 0, 0, 5, -6, 0, 0, -4, 0, -3, -12, 0, -10, 5, 0, 1, 0, 0, 14, 0, 0, 0, -3, 0, 8, -4, 0, -7, -4, 0, -4, 0, 0, -12, 15, 0, 0, 5, 0, 1, -3, 0, -20, -3, 0, 0, 0, 0, -13, 9, 0, 0, 9, 0, -7, 5, 0, -6, -15, 0, 5, 0, 0, -4, 6, 0, 0, -3, 0, -12, 0, 0, 1, -10, 0, 5, 0, 0, -16, 1, 0, 0, -21, 0, 28, 14, 0, 0, -3, 0, -13, 0, 0, -3, 5, 0, 0, 8, 0, -4, 6, 0, -16, -7, 0, -4, 0, 0, 14, -4, 0, 0, 12, 0, -16, -12, 0, 15, -24, 0, 12, 0, 0, 5, -21, 0, 0, 1, 0, -3, -12, 0, 20, -20, 0, -3, 0, 0, 0, 0, 0, 0, -15, 0, -4, -13, 0, 9, -3, 0, 11, 0, 0, 9, 12, 0, 0, -7, 0, 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-30, -6, 0, 0, 9, 0, 75, 0, 0, -55, 0, 0, -31, 0, 0, -3, 2, 0, 0, -120, 0, 72, -19, 0, 0, 12, 0, 26, 0, 0, 36, 48, 0, 0, -16, 0, -1, 11, 0, -104, -3, 0, 6, 0, 0, -5, -56, 0, 0, -15, 0, -64, 21, 0, -24, 0, 0, -47, 0, 0, 16, -33, 0, 0, 26, 0, 12, 48, 0, 35, 9, 0, -13, 0, 0, 0, -27, 0, 0, 39, 0, 12, 47, 0, 25, -12, 0, -64, 0, 0, 84, 63, 0, 0, -28, 0, 0, -105, 0, -37, -12, 0, -27, 0, 0, 40, -46, 0, 0, 0, 0, 40, -4, 0, -7, 66, 0, 44, 0, 0, -3, 54, 0, 0, 0, 0, 0, -30, 0, 26, 64, 0, -7, 0, 0, 20, 5, 0, 0, 12, 0, 56, -20, 0, 48, 3, 0, -7, 0, 0, 0, 0, 0, 0, 17, 0, 2, -90, 0, -31, -17, 0, -15, 0, 0, -128, 70, 0, 0, -4, 0, -27, -60, 0, -51, -60, 0, 0, 0, 0, -6, 18, 0, 0, 8, 0, 96, -84, 0, 50, -16, 0, 18, 0, 0, 38, 0, 0, 0, 42, 0, 100, -15, 0, -35, 48, 0, -56, 0, 0, 60, 0, 0, 0, -48, 0, -4, 21, 0, -55, 6, 0, 15, 0, 0, -22, 36, 0, 0, 0, 0, -22, 6, 0, -27, -20, 0, 41, 0, 0, -15, -24, 0, 0, 36, 0, 5, 0, 0, -31, 32, 0, 44, 0, 0, -45, -20, 0, 0, 39, 0, 112, 0, 0, -16, -18, 0, 144, 0, 0, 84, 75, 0, 0, 14, 0, 14, -48, 0, 0, -7, 0, -24, 0, 0, -55, 18, 0, 0, -90, 0, -44, 0, 0, -36, 21, 0, -20, 0, 0, 26, 8, 0, 0, -16, 0, 69, 63, 0, 45, 56, 0, -4, 0, 0, -40, 27, 0, 0, -36, 0, 29, 26, 0, 20, 18, 0, -56, 0, 0, 0, -75, 0, 0, 6, 0, -3, 147, 0, 0, 12, 0, -15, 0, 0, 3, -40, 0, 0, 120, 0, 2, 26, 0, 48, -15, 0, -20, 0, 0, 14, -96, 0, 0, 0, 0, -6, 2, 0, 20, -65, 0, -16, 0, 0, -120, -4, 0, 0, -18, 0, 0, -80, 0, -12, -60, 0, 56, 0, 0, -60, -42, 0, 0, -98, 0, 45, -42, 0, -22, -3, 0, 0, 0, 0, 8, 56, 0, 0, -15, 0, 18, 27, 0, -3, 0, 0, -68, 0, 0, -4, 75, 0, 0, 12, 0, -36, -90, 0, 9, -4, 0, 0, 0, 0, 55, 0, 0, 0, 48, 0, -16, -16, 0, -12, -54, 0, -18, 0, 0, -60, 21, 0, 0, 44, 0, -16, -72, 0, -8, -30, 0, -18, 0, 0, -82, 0, 0, 0, 30, 0, -50, -12, 0, 45, 12, 0, 6, 0, 0, 0, -6, 0, 0, -3, 0, 6, 60, 0, 91, -55, 0, -16, 0, 0, -64, 32, 0, 0, -10, 0, -8, -22, 0, 15, 12, 0, 44, 0, 0, 1, 51, 0, 0, 25, 0, 9, 0, 0, 23, -24, 0, 60, 0, 0, -58, -35, 0, 0, -12, 0, 11, -10, 0, 0, 72, 0, -7, 0, 0, -4, -84, 0, 0, 14, 0, 21, -60, 0, -32, 16, 0, 12, 0, 0, 62, -9, 0, 0, 3, 0, -10, 36, 0, 52, -35, 0, -70, 0, 0, -24, -96, 0, 0, 0, 0, 5, 78, 0, -28, 0, 0, 45, 0, 0, 0, -21, 0, 0, 63, 0, -20, -8, 0, 72, -168, 0, 77, 0, 0, 5, 57, 0, 0, -30, 0, 12, -15, 0, -24, 38, 0, -28, 0, 0, 74, -21, 0, 0, 0, 0, 0, -56, 0, 12, -33, 0, -56, 0, 0, -75, -3, 0, 0, -44, 0, 0, -45, 0, 74, 11, 0, -16, 0, 0, 8, 56, 0, 0, 54, 0, 14, -45, 0, 30, -36, 0, -17, 0, 0, 28, 39, 0, 0, 1, 0, -15, 54, 0, -100, 0, 0, 9, 0, 0, 9, -36, 0, 0, -42, 0, 14, 25, 0, -16, 33, 0, 0, 0, 0, -27, -66, 0, 0, -16, 0, -3, 16, 0, 17, -15, 0, -48, 0, 0, 80, -1, 0, 0, -96, 0, 16, -12, 0, -54, 0, 0, 112, 0, 0, 24, 0, 0, 0, -24, 0, 45, 42, 0, 70, -21, 0, 28, 0, 0, -28, 30, 0, 0, -108, 0, 0, 8, 0, 20, -93, 0, 40, 0, 0, -15, -42, 0, 0, -64, 0, 5, -72, 0, 36, -20, 0, 0, 0, 0, 41, 11, 0, 0, 48, 0, 16, 0, 0, 28, -39, 0, -27, 0, 0, 5, 120, 0, 0, 17, 0, 30, 69, 0, 0, -22, 0, -3, 0, 0, -104, 14, 0, 0, 15, 0, -79, 16, 0, -16, -24, 0, -30, 0, 0, -30, 60, 0, 0, -58, 0, 24, -108, 0, 68, -54, 0, 72, 0, 0, 10, -1, 0, 0, 2, 0, -98, 2, 0, -51, 21, 0, -90, 0, 0, 0, -96, 0, 0, 60, 0, 6, -30, 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], [1], [0], [1], [0], [0], [-4], [1], [0], [0], [1], [0], [5], [-4], [0], [1], [0], [0], [-7], [0], [0], [1], [-3], [0], [0], [5], [0], [-4], [-3], [0], [5], [1], [0], [0], [0], [0], [-4], [-7], [0], [0], [-12], [0], [5], [1], [0], [-3], [0], [0], [9], [0], [0], [5], [-6], [0], [0], [-4], [0], [-3], [-12], [0], [-10], [5], [0], [1], [0], [0], [14], [0], [0], [0], [-3], [0], [8], [-4], [0], [-7], [-4], [0], [-4], [0], [0], [-12], [15], [0], [0], [5], [0], [1], [-3], [0], [-20], [-3], [0], [0], [0], [0], [-13], [9], [0], [0]], 'ap': [[1], [0], [0], [-4], [1], [5], [0], [-7], [-3], [-3], [5], [-4], [-12], [5], [0], [-6], [-12], [-10], [14], [-3], [8], [-4], [15], [-3], [-13], [9], [-7], [-15], [5], [6], [-16], [-21], [-3], [-13], [6], [-16], [14], [-16], [-24], [-21], [-12], [20], [-15], [-4], [-3], [11], [-4], [8], [3], [2], [18], [6], [-10], [-24], [9], [0], [-30], [2], [26], [0], [-4], [18], [-16], [-3], [26], [-12], [32], [14], [12], [11], [9], [24], [17], [2], [2], [3], [24], [14], [9], [-4], [-30], [26], [-12], [11], [20], [24], [27], [-28], [6], [-13], [-18], [-6], [29], [-9], [-10], [6], [-6], [33], [11], [-31], [-1], [-27], [-12], [0], [-7], [2], [0], [6], [36], [44], [14], [26], [27], [20], [-16], [27], [-4], [0], [-30], [-3], [-16], [-4], [-9], [0], [-28], [-45], [-16], [-24], [5], [5], [-16], [-54], [-25], [8], [-12], [-22], [36], [-28], [0], [-42], [-4], [9], [-40], [27], [14], [-48], [-10], [48], [26], [39], [23], [27], [44], [-6], [-34], [48], [32], [33], [26], [-6], [-30], [-6], [26], [6], [42], [-39], [32], [-46], [14], [6], [-21], [-40], [18], [-16], [5], [-33], [11], [42], [-34], [-37], [-19], [36], [-16], [6], [-24], [12], [47], [-28], [-46], [0], [17], [-51], [-16], [60], [15], [-27], [32], [14], [-24], [-36], [69], [56], [26], [-40], [-6], [0], [56], [-3], [-36], [-4], [-16], [-60], [44], [-18], [6], [-55], [-22], [-24], [45], [72], [38], [56], [-15], [-16], [-48], [-1], [-54], [45], [8], [-15], [-64], [11], [-22], [-30], [-58], [72], [-1], [-51], [6], [0], [36], [56], [23], [38], [-60], [-54], [-31], [-24], [11], [54], [23], [-12], [-75], [-37], [-57], [69], [68], [-28], [-60], [-34], [-52], [-9], [-43], [11], [-9], [-64], [42], [-9], [77], [18], [-28], [-22], [-19], [-76], [-10], [17], [-12], [-58], [-4], [12], [30], [41], [42], [35], [-31], [33], [-25], [-69], [5], [-84], [72], [30], [-48], [45], [-13], [-63], [77], [-48], [-3], [-13], [-28], [9], [2], [36], [-22], [50], [-36], [-58], [15], [-13], [6], [-30], [60], [-64], [18], [-76], [24], [18], [62], [-18], [32], [59], [42], [-49], [-6], [-55], [26], [-64], [0], [-33], [35], [-12], [-64], [63], [-37], [66], [44], [54], [26], [20], [56], [3], [-90], [-31], [18], [-84], [50], [38], [42], [48], [-55], [-22], [0], [-22], [41], [-24], [0], [39], [-18], [75], [-55], [-90], [21], [63], [-40], [29], [18], [2], [20], [-18], [56], [-42], [-42], [-22], [8], [-90], [48], [-16], [-72], [-82], [30], [-6], [-64], [12], [44], [51], [23], [-58], [11], [72], [-7], [-84], [-60], [62], [3], [-10], [-70], [78], [-28], [63], [77], [57], [74], [-33], [-45], [74], [8], [54], [14], [54], [14], [33], [-66], [17], [80], [-96], [42], [-28], [-93], [-42], [-72], [41], [-39], [69], [-79], [-24], [60], [-108], [68], [-30]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 108086391090451286, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '4950.2.a.y', 'level': 4950, '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': [2, 5, 6, 4, 6, 5, 6, 6, 5, 2, 4, 6, 5, 7, 7, 5], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [5, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6], 'ALdims_old': [56, 64, 63, 59, 60, 58, 57, 60, 58, 67, 59, 57, 58, 59, 59, 58], 'Nk2': 19800, 'analytic_conductor': 39.52594900053379, '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': [4950, 1, [551, 2377, 4501], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1033, 'dim': 81, 'eis_dim': 95, 'eis_new_dim': 0, 'hecke_cutter_primes': [7, 13, 17, 19, 23], 'hecke_orbit_code': 33559382, '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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3], 'label': '4950.2.a', 'level': 4950, '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': 1128, 'mf_new_dim': 81, 'num_forms': 62, 'plus_dim': 33, 'prim_orbit_index': 1, 'relative_dim': 81, 'sturm_bound': 2160, 'trace_bound': 19, 'trace_display': [1, 0, 0, 0], 'traces': [81, 1, 0, 81, 0, 0, 0, 1, 0, 0, -1, 0, 2, -8, 0, 81, -14, 0, 12, 0, 0, -1, -8, 0, 0, -22, 0, 0, -6, 0, 28, 1, 0, -6, 0, 0, 14, 8, 0, 0, -34, 0, 28, -1, 0, 16, -24, 0, 129, 0, 0, 2, 26, 0, 0, -8, 0, 18, -12, 0, 6, -8, 0, 81, 0, 0, 0, -14, 0, 0, 48, 0, -42, 10, 0, 12, 0, 0, 48, 0, 0, 14, -12, 0, 0, -12, 0, -1, 38, 0, 8, -8, 0, 8, 0, 0, 18, -23, 0, 0, 10, 0, -28, -22, 0, 14, -36, 0, 22, 0, 0, 0, 42, 0, 0, -6, 0, -28, 40, 0, 81, -6, 0, 28, 0, 0, 48, 1, 0, 0, 52, 0, 16, 84, 0, -6, 34, 0, 68, 0, 0, 24, 10, 0, 0, -34, 0, 14, -6, 0, 64, 8, 0, 8, 0, 0, 14, 8, 0, 0, 80, 0, 8, -34, 0, -8, 88, 0, 67, 0, 0, 28, 46, 0, 0, -1, 0, -10, 92, 0, -18, -8, 0, 16, 0, 0, -2, -24, 0, 0, 32, 0, -18, 14, 0, 129, -2, 0, -28, 0, 0, 18, 8, 0, 0, 32, 0, 2, -4, 0, -52, 26, 0, 0, 0, 0, 48, 26, 0, 0, 4, 0, 44, -8, 0, -22, 28, 0, 38, 0, 0, 18, -46, 0, 0, -12, 0, 16, 40, 0, -118, 1, 0, 6, 0, 0, 24, -8, 0, 0, -76, 0, 20, -16, 0, 81, 74, 0, 64, 0, 0, -4, -64, 0, 0, 32, 0, 0, 10, 0, 8, -14, 0, 18, 0, 0, 10, -24, 0, 0, 22, 0, -20, 48, 0, -2, 24, 0, 91, 0, 0, -42, 30, 0, 0, 10, 0, 74, -104, 0, -8, 16, 0, 12, 0, 0, -20, 0, 0, 0, 8, 0, -14, -22, 0, 48, -86, 0, -22, 0, 0, 8, -56, 0, 0, -60, 0, 14, 40, 0, -36, -12, 0, 32, 0, 0, -2, 87, 0, 0, 8, 0, 0, -12, 0, -86, 36, 0, 86, 0, 0, -1, -46, 0, 0, 38, 0, -44, 144, 0, 193, 102, 0, 8, 0, 0, -124, -8, 0, 0, 96, 0, 82, -18, 0, 8, -124, 0, 36, 0, 0, 40, 144, 0, 0, 166, 0, 18, 178, 0, -56, -23, 0, -46, 0, 0, -66, -32, 0, 0, -74, 0, 96, 10, 0, -24, -14, 0, 90, 0, 0, -28, -144, 0, 0, -22, 0, -12, -84, 0, 30, -24, 0, 14, 0, 0, 40, -36, 0, 0, 168, 0, 122, -32, 0, 22, -40, 0, -32, 0, 0, -28, 40, 0, 0, 40, 0, 0, 38, 0, 2, 42, 0, 64, 0, 0, -66, 30, 0, 0, 58, 0, -100, -6, 0, -70, 16, 0, 176, 0, 0, -28, 40, 0, 0, 40, 0, -96, 312, 0, 180, 18, 0, 81, 0, 0, 36, -6, 0, 0, -68, 0, -92, 24, 0, 28, 104, 0, 36, 0, 0, -4, 128, 0, 0, -8, 0, 48, 26, 0, 128, 1, 0, -134, 0, 0, 36, -64, 0, 0, -26, 0, -12, 52, 0, 24, -32, 0, -3, 0, 0, 16, 36, 0, 0, 84, 0, -38, 23, 0, 6, 96, 0, -6, 0, 0, -92, 34, 0, 0, 260, 0, -120, 6, 0, 68, 62, 0, 116, 0, 0, 22, -116, 0, 0, -24, 0, 24, -186, 0, -140, 10, 0, -32, 0, 0, -22, -13, 0, 0, -280, 0, -26, -34, 0, -130, 80, 0, -288, 0, 0, 14, -214, 0, 0, -6, 0, -80, -84, 0, 50, -120, 0, 64, 0, 0, -16, 8, 0, 0, -136, 0, -78, -80, 0, 8, -70, 0, -212, 0, 0, 56, -8, 0, 0, -10, 0, 14, -284, 0, -248, 8, 0, -162, 0, 0, 162, 6, 0, 0, -10, 0, 8, 80, 0, 80, -152, 0, -92, 0, 0, 8, -38, 0, 0, -34, 0, -72, 28, 0, -98, -76, 0, -8, 0, 0, -56, 88, 0, 0, -74, 0, 14, -50, 0, 67, 54, 0, -136, 0, 0, -24, -160, 0, 0, 248, 0, 28, -244, 0, -52, 46, 0, 20, 0, 0, 84, 58, 0, 0, -182, 0, -152, -1, 0, -134, -96, 0, -10, 0, 0, -10, 248, 0, 0, 92, 0, -48, -180, 0, -72, -163, 0, -18, 0, 0, -44, -8, 0, 0, -56, 0, 10, 88, 0, 16, -32, 0, -276, 0, 0, 32, -40, 0, 0, -234, 0, -2, 40, 0, -212, -24, 0, -44, 0, 0, -74, -172, 0, 0, -138, 0, 64, 32, 0, -88, 8, 0, -78, 0, 0, -18, 58, 0, 0, 14, 0, 50, -24, 0, 32, 56, 0, 129, 0, 0, 28, -2, 0, 0, 120, 0, 172, 242, 0, -28, -14, 0, -64, 0, 0, 30, 42, 0, 0, 44, 0, 18, -442, 0, 340, 8, 0, -26, 0, 0, 128, 58, 0, 0, -134, 0, 4, 32, 0, 16, 20, 0, -74, 0, 0, 2, 98, 0, 0, -4, 0, 4, -12, 0, -109, 46, 0, -52, 0, 0, 0, 26, 0, 0, -240, 0, 162, 136, 0, 0, -30, 0, -268, 0, 0, -56, 144, 0, 0, -242, 0, 48, 40, 0, -88, 26, 0, -36, 0, 0, -118, 96, 0, 0, -154, 0, -72, 4, 0, -236, 136, 0, 32, 0, 0, 44, -184, 0, 0, -8, 0, -34, -176, 0, -228, 26, 0, -22, 0, 0, 16, 28, 0, 0, -364, 0, -60, -282, 0, 38, 32, 0, 16, 0, 0, -6, -88, 0, 0, 72, 0, 18, -122, 0, 172, -46, 0, -28, 0, 0, -82, -80, 0, 0, 98, 0, 72, -12, 0, 68, 40, 0, -60, 0, 0, 16, 26, 0, 0, 40, 0, -96, -48, 0, 61, -100, 0, -118, 0, 0, -152, 1, 0, 0, 20, 0, 96, 64, 0, 6, -150, 0, -6, 0, 0, -132, 24, 0, 0, 76, 0, 24, 72, 0, -256, -8, 0, -272, 0, 0, 98, 100, 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: 1234528
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 25, 'source_is_minimal': False, 'source_label': '4950.2.a.y', 'source_level': 4950, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '550.2.a.a', 'target_level': 550, 'twist_class_label': '550.2.a.a', 'twist_class_level': 550, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1234529
    {'conductor': 15, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 25, 'source_is_minimal': False, 'source_label': '4950.2.a.y', 'source_level': 4950, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 13, 'target_is_minimal': True, 'target_label': '550.2.a.m', 'target_level': 550, 'twist_class_label': '550.2.a.a', 'twist_class_level': 550, 'twisting_char_label': '15.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 1234530
    {'conductor': 15, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 25, 'source_is_minimal': False, 'source_label': '4950.2.a.y', 'source_level': 4950, 'target_char_orbit': 2, 'target_dim': 2, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '550.2.b.d', 'target_level': 550, 'twist_class_label': '550.2.a.a', 'twist_class_level': 550, 'twisting_char_label': '15.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 1234531
    {'conductor': 60, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 25, 'source_is_minimal': False, 'source_label': '4950.2.a.y', 'source_level': 4950, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '4400.2.a.d', 'target_level': 4400, 'twist_class_label': '550.2.a.a', 'twist_class_level': 550, 'twisting_char_label': '60.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 1234532
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 25, 'source_is_minimal': False, 'source_label': '4950.2.a.y', 'source_level': 4950, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 29, 'target_is_minimal': False, 'target_label': '4400.2.a.bc', 'target_level': 4400, 'twist_class_label': '550.2.a.a', 'twist_class_level': 550, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1234533
    {'conductor': 60, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 25, 'source_is_minimal': False, 'source_label': '4950.2.a.y', 'source_level': 4950, 'target_char_orbit': 2, 'target_dim': 2, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '4400.2.b.e', 'target_level': 4400, 'twist_class_label': '550.2.a.a', 'twist_class_level': 550, 'twisting_char_label': '60.l', 'twisting_char_orbit': 12, 'weight': 2}
  • id: 1234534
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 25, 'source_is_minimal': False, 'source_label': '4950.2.a.y', 'source_level': 4950, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 21, 'target_is_minimal': False, 'target_label': '4950.2.a.u', 'target_level': 4950, 'twist_class_label': '550.2.a.a', 'twist_class_level': 550, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1234535
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 25, 'source_is_minimal': False, 'source_label': '4950.2.a.y', 'source_level': 4950, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 25, 'target_is_minimal': False, 'target_label': '4950.2.a.y', 'target_level': 4950, 'twist_class_label': '550.2.a.a', 'twist_class_level': 550, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 1234536
    {'conductor': 5, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 25, 'source_is_minimal': False, 'source_label': '4950.2.a.y', 'source_level': 4950, 'target_char_orbit': 3, 'target_dim': 2, 'target_hecke_orbit': 27, 'target_is_minimal': False, 'target_label': '4950.2.c.ba', 'target_level': 4950, 'twist_class_label': '550.2.a.a', 'twist_class_level': 550, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 1234537
    {'conductor': 165, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 25, 'source_is_minimal': False, 'source_label': '4950.2.a.y', 'source_level': 4950, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 14, 'target_is_minimal': False, 'target_label': '6050.2.a.n', 'target_level': 6050, 'twist_class_label': '550.2.a.a', 'twist_class_level': 550, 'twisting_char_label': '165.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 1234538
    {'conductor': 33, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 25, 'source_is_minimal': False, 'source_label': '4950.2.a.y', 'source_level': 4950, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 28, 'target_is_minimal': False, 'target_label': '6050.2.a.bb', 'target_level': 6050, 'twist_class_label': '550.2.a.a', 'twist_class_level': 550, 'twisting_char_label': '33.d', 'twisting_char_orbit': 4, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 3754800
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 108086391090451286, 'p': 2}
  • id: 3754801
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 108086391090451286, 'p': 3}
  • id: 3754802
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 108086391090451286, 'p': 5}
  • id: 3754803
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 108086391090451286, 'p': 7}
  • id: 3754804
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 108086391090451286, 'p': 11}
  • id: 3754805
    {'charpoly_factorization': [[[-5, 1], 1]], 'hecke_orbit_code': 108086391090451286, 'p': 13}
  • id: 3754806
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 108086391090451286, 'p': 17}
  • id: 3754807
    {'charpoly_factorization': [[[7, 1], 1]], 'hecke_orbit_code': 108086391090451286, 'p': 19}
  • id: 3754808
    {'charpoly_factorization': [[[3, 1], 1]], 'hecke_orbit_code': 108086391090451286, 'p': 23}
  • id: 3754809
    {'charpoly_factorization': [[[3, 1], 1]], 'hecke_orbit_code': 108086391090451286, 'p': 29}
  • id: 3754810
    {'charpoly_factorization': [[[-5, 1], 1]], 'hecke_orbit_code': 108086391090451286, 'p': 31}
  • id: 3754811
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 108086391090451286, 'p': 37}
  • id: 3754812
    {'charpoly_factorization': [[[12, 1], 1]], 'hecke_orbit_code': 108086391090451286, 'p': 41}
  • id: 3754813
    {'charpoly_factorization': [[[-5, 1], 1]], 'hecke_orbit_code': 108086391090451286, 'p': 43}
  • id: 3754814
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 108086391090451286, 'p': 47}
  • id: 3754815
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 108086391090451286, 'p': 53}
  • id: 3754816
    {'charpoly_factorization': [[[12, 1], 1]], 'hecke_orbit_code': 108086391090451286, 'p': 59}
  • id: 3754817
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 108086391090451286, 'p': 61}
  • id: 3754818
    {'charpoly_factorization': [[[-14, 1], 1]], 'hecke_orbit_code': 108086391090451286, 'p': 67}
  • id: 3754819
    {'charpoly_factorization': [[[3, 1], 1]], 'hecke_orbit_code': 108086391090451286, 'p': 71}
  • id: 3754820
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 108086391090451286, 'p': 73}
  • id: 3754821
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 108086391090451286, 'p': 79}
  • id: 3754822
    {'charpoly_factorization': [[[-15, 1], 1]], 'hecke_orbit_code': 108086391090451286, 'p': 83}
  • id: 3754823
    {'charpoly_factorization': [[[3, 1], 1]], 'hecke_orbit_code': 108086391090451286, 'p': 89}
  • id: 3754824
    {'charpoly_factorization': [[[13, 1], 1]], 'hecke_orbit_code': 108086391090451286, 'p': 97}
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 1, 'hecke_orbit': 25, 'label': '4950.2.a.y', 'level': 4950, '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: 66405823
    {'hecke_orbit_code': 108086391090451286, 'n': 1, 'trace_an': 1}
  • id: 66405824
    {'hecke_orbit_code': 108086391090451286, 'n': 2, 'trace_an': 1}
  • id: 66405825
    {'hecke_orbit_code': 108086391090451286, 'n': 3, 'trace_an': 0}
  • id: 66405826
    {'hecke_orbit_code': 108086391090451286, 'n': 4, 'trace_an': 1}
  • id: 66405827
    {'hecke_orbit_code': 108086391090451286, 'n': 5, 'trace_an': 0}
  • id: 66405828
    {'hecke_orbit_code': 108086391090451286, 'n': 6, 'trace_an': 0}
  • id: 66405829
    {'hecke_orbit_code': 108086391090451286, 'n': 7, 'trace_an': -4}
  • id: 66405830
    {'hecke_orbit_code': 108086391090451286, 'n': 8, 'trace_an': 1}
  • id: 66405831
    {'hecke_orbit_code': 108086391090451286, 'n': 9, 'trace_an': 0}
  • id: 66405832
    {'hecke_orbit_code': 108086391090451286, 'n': 10, 'trace_an': 0}
  • id: 66405833
    {'hecke_orbit_code': 108086391090451286, 'n': 11, 'trace_an': 1}
  • id: 66405834
    {'hecke_orbit_code': 108086391090451286, 'n': 12, 'trace_an': 0}
  • id: 66405835
    {'hecke_orbit_code': 108086391090451286, 'n': 13, 'trace_an': 5}
  • id: 66405836
    {'hecke_orbit_code': 108086391090451286, 'n': 14, 'trace_an': -4}
  • id: 66405837
    {'hecke_orbit_code': 108086391090451286, 'n': 15, 'trace_an': 0}
  • id: 66405838
    {'hecke_orbit_code': 108086391090451286, 'n': 16, 'trace_an': 1}
  • id: 66405839
    {'hecke_orbit_code': 108086391090451286, 'n': 17, 'trace_an': 0}
  • id: 66405840
    {'hecke_orbit_code': 108086391090451286, 'n': 18, 'trace_an': 0}
  • id: 66405841
    {'hecke_orbit_code': 108086391090451286, 'n': 19, 'trace_an': -7}
  • id: 66405842
    {'hecke_orbit_code': 108086391090451286, 'n': 20, 'trace_an': 0}
  • id: 66405843
    {'hecke_orbit_code': 108086391090451286, 'n': 21, 'trace_an': 0}
  • id: 66405844
    {'hecke_orbit_code': 108086391090451286, 'n': 22, 'trace_an': 1}
  • id: 66405845
    {'hecke_orbit_code': 108086391090451286, 'n': 23, 'trace_an': -3}
  • id: 66405846
    {'hecke_orbit_code': 108086391090451286, 'n': 24, 'trace_an': 0}
  • id: 66405847
    {'hecke_orbit_code': 108086391090451286, 'n': 25, 'trace_an': 0}
  • id: 66405848
    {'hecke_orbit_code': 108086391090451286, 'n': 26, 'trace_an': 5}
  • id: 66405849
    {'hecke_orbit_code': 108086391090451286, 'n': 27, 'trace_an': 0}
  • id: 66405850
    {'hecke_orbit_code': 108086391090451286, 'n': 28, 'trace_an': -4}
  • id: 66405851
    {'hecke_orbit_code': 108086391090451286, 'n': 29, 'trace_an': -3}
  • id: 66405852
    {'hecke_orbit_code': 108086391090451286, 'n': 30, 'trace_an': 0}
  • id: 66405853
    {'hecke_orbit_code': 108086391090451286, 'n': 31, 'trace_an': 5}
  • id: 66405854
    {'hecke_orbit_code': 108086391090451286, 'n': 32, 'trace_an': 1}
  • id: 66405855
    {'hecke_orbit_code': 108086391090451286, 'n': 33, 'trace_an': 0}
  • id: 66405856
    {'hecke_orbit_code': 108086391090451286, 'n': 34, 'trace_an': 0}
  • id: 66405857
    {'hecke_orbit_code': 108086391090451286, 'n': 35, 'trace_an': 0}
  • id: 66405858
    {'hecke_orbit_code': 108086391090451286, 'n': 36, 'trace_an': 0}
  • id: 66405859
    {'hecke_orbit_code': 108086391090451286, 'n': 37, 'trace_an': -4}
  • id: 66405860
    {'hecke_orbit_code': 108086391090451286, 'n': 38, 'trace_an': -7}
  • id: 66405861
    {'hecke_orbit_code': 108086391090451286, 'n': 39, 'trace_an': 0}
  • id: 66405862
    {'hecke_orbit_code': 108086391090451286, 'n': 40, 'trace_an': 0}
  • id: 66405863
    {'hecke_orbit_code': 108086391090451286, 'n': 41, 'trace_an': -12}
  • id: 66405864
    {'hecke_orbit_code': 108086391090451286, 'n': 42, 'trace_an': 0}
  • id: 66405865
    {'hecke_orbit_code': 108086391090451286, 'n': 43, 'trace_an': 5}
  • id: 66405866
    {'hecke_orbit_code': 108086391090451286, 'n': 44, 'trace_an': 1}
  • id: 66405867
    {'hecke_orbit_code': 108086391090451286, 'n': 45, 'trace_an': 0}
  • id: 66405868
    {'hecke_orbit_code': 108086391090451286, 'n': 46, 'trace_an': -3}
  • id: 66405869
    {'hecke_orbit_code': 108086391090451286, 'n': 47, 'trace_an': 0}
  • id: 66405870
    {'hecke_orbit_code': 108086391090451286, 'n': 48, 'trace_an': 0}
  • id: 66405871
    {'hecke_orbit_code': 108086391090451286, 'n': 49, 'trace_an': 9}
  • id: 66405872
    {'hecke_orbit_code': 108086391090451286, 'n': 50, 'trace_an': 0}
  • id: 66405873
    {'hecke_orbit_code': 108086391090451286, 'n': 51, 'trace_an': 0}
  • id: 66405874
    {'hecke_orbit_code': 108086391090451286, 'n': 52, 'trace_an': 5}
  • id: 66405875
    {'hecke_orbit_code': 108086391090451286, 'n': 53, 'trace_an': -6}
  • id: 66405876
    {'hecke_orbit_code': 108086391090451286, 'n': 54, 'trace_an': 0}
  • id: 66405877
    {'hecke_orbit_code': 108086391090451286, 'n': 55, 'trace_an': 0}
  • id: 66405878
    {'hecke_orbit_code': 108086391090451286, 'n': 56, 'trace_an': -4}
  • id: 66405879
    {'hecke_orbit_code': 108086391090451286, 'n': 57, 'trace_an': 0}
  • id: 66405880
    {'hecke_orbit_code': 108086391090451286, 'n': 58, 'trace_an': -3}
  • id: 66405881
    {'hecke_orbit_code': 108086391090451286, 'n': 59, 'trace_an': -12}
  • id: 66405882
    {'hecke_orbit_code': 108086391090451286, 'n': 60, 'trace_an': 0}
  • id: 66405883
    {'hecke_orbit_code': 108086391090451286, 'n': 61, 'trace_an': -10}
  • id: 66405884
    {'hecke_orbit_code': 108086391090451286, 'n': 62, 'trace_an': 5}
  • id: 66405885
    {'hecke_orbit_code': 108086391090451286, 'n': 63, 'trace_an': 0}
  • id: 66405886
    {'hecke_orbit_code': 108086391090451286, 'n': 64, 'trace_an': 1}
  • id: 66405887
    {'hecke_orbit_code': 108086391090451286, 'n': 65, 'trace_an': 0}
  • id: 66405888
    {'hecke_orbit_code': 108086391090451286, 'n': 66, 'trace_an': 0}
  • id: 66405889
    {'hecke_orbit_code': 108086391090451286, 'n': 67, 'trace_an': 14}
  • id: 66405890
    {'hecke_orbit_code': 108086391090451286, 'n': 68, 'trace_an': 0}
  • id: 66405891
    {'hecke_orbit_code': 108086391090451286, 'n': 69, 'trace_an': 0}
  • id: 66405892
    {'hecke_orbit_code': 108086391090451286, 'n': 70, 'trace_an': 0}
  • id: 66405893
    {'hecke_orbit_code': 108086391090451286, 'n': 71, 'trace_an': -3}
  • id: 66405894
    {'hecke_orbit_code': 108086391090451286, 'n': 72, 'trace_an': 0}
  • id: 66405895
    {'hecke_orbit_code': 108086391090451286, 'n': 73, 'trace_an': 8}
  • id: 66405896
    {'hecke_orbit_code': 108086391090451286, 'n': 74, 'trace_an': -4}
  • id: 66405897
    {'hecke_orbit_code': 108086391090451286, 'n': 75, 'trace_an': 0}
  • id: 66405898
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  • id: 66405901
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  • id: 66405902
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  • id: 66405903
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  • id: 66405904
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  • id: 66405905
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  • id: 66405906
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  • id: 66405908
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  • id: 66405910
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  • id: 66405911
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  • id: 66405912
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  • id: 66405913
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  • id: 66405914
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  • id: 66405915
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  • id: 66405917
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  • id: 66405918
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  • id: 66405919
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  • id: 66405920
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  • id: 66405921
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  • id: 66405923
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  • id: 66405925
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  • id: 66405926
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  • id: 66405927
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  • id: 66405928
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  • id: 66405930
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  • id: 66405931
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  • id: 66405932
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  • id: 66405935
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  • id: 66405937
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  • id: 66405938
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  • id: 66405939
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  • id: 66405940
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  • id: 66405941
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  • id: 66405942
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  • id: 66405943
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  • id: 66405944
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  • id: 66405945
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  • id: 66405946
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  • id: 66405947
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  • id: 66405949
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  • id: 66405950
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  • id: 66405964
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  • id: 66405965
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  • id: 66405966
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  • id: 66405967
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  • id: 66405968
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  • id: 66405969
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  • id: 66405970
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  • id: 66405971
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  • id: 66405972
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  • id: 66405973
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  • id: 66405974
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  • id: 66405975
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  • id: 66405976
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  • id: 66405977
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  • id: 66405979
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  • id: 66405980
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  • id: 66405981
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  • id: 66405982
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  • id: 66405983
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  • id: 66405984
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  • id: 66405985
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  • id: 66405986
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  • id: 66405987
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  • id: 66405988
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  • id: 66405989
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  • id: 66405990
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  • id: 66405991
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  • id: 66405992
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  • id: 66405993
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  • id: 66405994
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  • id: 66405995
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  • id: 66405996
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  • id: 66405997
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  • id: 66405998
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  • id: 66406000
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  • id: 66406001
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  • id: 66406002
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  • id: 66406003
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  • id: 66406010
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  • id: 66406019
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  • id: 66406020
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  • id: 66406021
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  • id: 66406022
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  • id: 66406024
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  • id: 66406025
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  • id: 66406026
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  • id: 66406027
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  • id: 66406028
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  • id: 66406031
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  • id: 66406034
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  • id: 66406035
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  • id: 66406037
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  • id: 66406038
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  • id: 66406039
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  • id: 66406040
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  • id: 66406041
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  • id: 66406042
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  • id: 66406043
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  • id: 66406044
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  • id: 66406045
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  • id: 66406046
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  • id: 66406047
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  • id: 66406048
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  • id: 66406050
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  • id: 66406051
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  • id: 66406052
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  • id: 66406053
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  • id: 66406054
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  • id: 66406055
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  • id: 66406056
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  • id: 66406057
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  • id: 66406058
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  • id: 66406059
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  • id: 66406060
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  • id: 66406061
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  • id: 66406062
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  • id: 66406063
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  • id: 66406064
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  • id: 66406065
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  • id: 66406066
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  • id: 66406067
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  • id: 66406068
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  • id: 66406069
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  • id: 66406070
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  • id: 66406071
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  • id: 66406072
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  • id: 66406073
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  • id: 66406074
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  • id: 66406075
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  • id: 66406076
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  • id: 66406077
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  • id: 66406078
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  • id: 66406079
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  • id: 66406080
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