Newform data - 6300.2.a.x

Formats: - HTML - YAML - JSON - 2026-06-19T01:53:11.210640

• 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': 25200, 'analytic_conductor': 50.305753273406644, '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': [6300, 1, [3151, 2801, 3277, 3601], [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, [1, 1]], [13, [-4, 1]], [17, [2, 1]], [37, [-1, 1]]], 'hecke_orbit': 24, 'hecke_orbit_code': 103582791463082140, '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': '6300.2.a.x', 'level': 6300, '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': '2100.2.a.g', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+q^{7}-q^{11}+4q^{13}-2q^{17}-4q^{19}+\\cdots', 'related_objects': ['EllipticCurve/Q/6300/x'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '6300.2.a', 'trace_display': [0, 0, 0, 1], 'trace_hash': 1732480484771438901, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.014', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.013', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.078', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.116', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.290', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.016', 'prec': 17}, 'traces': [1, 0, 0, 0, 0, 0, 1, 0, 0, 0, -1, 0, 4, 0, 0, 0, -2, 0, -4, 0, 0, 0, -7, 0, 0, 0, 0, 0, 9, 0, -2, 0, 0, 0, 0, 0, 1, 0, 0, 0, -8, 0, -9, 0, 0, 0, -4, 0, 1, 0, 0, 0, -6, 0, 0, 0, 0, 0, -4, 0, 4, 0, 0, 0, 0, 0, 9, 0, 0, 0, -5, 0, 10, 0, 0, 0, -1, 0, -15, 0, 0, 0, 6, 0, 0, 0, 0, 0, -8, 0, 4, 0, 0, 0, 0, 0, 10, 0, 0, 0, -6, 0, -4, 0, 0, 0, -4, 0, 1, 0, 0, 0, -13, 0, 0, 0, 0, 0, -2, 0, -10, 0, 0, 0, 0, 0, 9, 0, 0, 0, -18, 0, -4, 0, 0, 0, 2, 0, -10, 0, 0, 0, -4, 0, 0, 0, 0, 0, 3, 0, 11, 0, 0, 0, 0, 0, 20, 0, 0, 0, -7, 0, 12, 0, 0, 0, 16, 0, 3, 0, 0, 0, -8, 0, 0, 0, 0, 0, -4, 0, -10, 0, 0, 0, 0, 0, 2, 0, 0, 0, -20, 0, -17, 0, 0, 0, 15, 0, 8, 0, 0, 0, 9, 0, 0, 0, 0, 0, 4, 0, -4, 0, 0, 0, 0, 0, -2, 0, 0, 0, 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0, -15, 0, 0, 0, -48, 0, -54, 0, 0, 0, -30, 0, 0, 0, 0, 0, -24, 0, 16, 0, 0, 0, 0, 0, -17, 0, 0, 0, 0, 0, -46, 0, 0, 0, 42, 0, 18, 0, 0, 0, 31, 0, 0, 0, 0, 0, 18, 0, -62, 0, 0, 0, 0, 0, 88, 0, 0, 0, 24, 0, -80, 0, 0, 0, -36, 0, 4, 0, 0, 0, -80, 0, 0, 0, 0, 0, -66, 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], [0], [0], [0], [0], [1], [0], [0], [0], [-1], [0], [4], [0], [0], [0], [-2], [0], [-4], [0], [0], [0], [-7], [0], [0], [0], [0], [0], [9], [0], [-2], [0], [0], [0], [0], [0], [1], [0], [0], [0], [-8], [0], [-9], [0], [0], [0], [-4], [0], [1], [0], [0], [0], [-6], [0], [0], [0], [0], [0], [-4], [0], [4], [0], [0], [0], [0], [0], [9], [0], [0], [0], [-5], [0], [10], [0], [0], [0], [-1], [0], [-15], [0], [0], [0], [6], [0], [0], [0], [0], [0], [-8], [0], [4], [0], [0], [0], [0], [0], [10], [0], [0], [0]], 'ap': [[0], [0], [0], [1], [-1], [4], [-2], [-4], [-7], [9], [-2], [1], [-8], [-9], [-4], [-6], [-4], [4], [9], [-5], [10], [-15], [6], [-8], [10], [-6], [-4], [-4], [1], [-13], [9], [-18], [2], [-10], [3], [11], [20], [12], [16], [-8], [-4], [-10], [-20], [-17], [15], [8], [-4], [-6], [0], [22], [-19], [16], [0], [2], [-26], [15], [-18], [-24], [2], [-19], [-22], [-24], [-22], [-2], [4], [31], [-23], [-22], [27], [-28], [-18], [35], [4], [11], [-23], [12], [-27], [10], [33], [40], [-30], [-17], [-24], [0], [20], [-20], [-13], [-5], [40], [-4], [38], [-36], [3], [3], [4], [14], [28], [-6], [-40], [-25], [-35], [-1], [30], [45], [-23], [8], [30], [12], [-35], [-4], [0], [29], [-31], [16], [-27], [33], [28], [-46], [-26], [-4], [-16], [2], [-18], [19], [28], [-18], [-26], [-24], [30], [-36], [-9], [24], [40], [-7], [4], [40], [26], [26], [54], [23], [-6], [-10], [-11], [-33], [-34], [42], [28], [4], [14], [-33], [-34], [54], [1], [-52], [24], [9], [-59], [26], [36], [-54], [-36], [-21], [40], [24], [33], [58], [37], [-28], [-49], [-6], [-19], [20], [13], [2], [-58], [14], [-55], [42], [44], [18], [19], [44], [25], [-38], [-19], [46], [7], [14], [5], [10], [14], [13], [-41], [-10], [-33], [36], [65], [-47], [12], [-6], [-30], [42], [50], [60], [-56], [20], [-6], [36], [35], [0], [-35], [6], [31], [-36], [-6], [-26], [47], [28], [-23], [-67], [41], [-18], [63], [37], [28], [70], [46], [-3], [-14], [-9], [-35], [-10], [-48], [63], [20], [-14], [-20], [-5], [35], [28], [21], [52], [-42], [59], [64], [14], [-22], [78], [40], [24], [-14], [0], [-24], [-46], [24], [-60], [-19], [-6], [12], [-76], [16], [11], [58], [-2], [2], [48], [51], [78], [-49], [21], [-44], [-20], [-24], [81], [42], [62], [-13], [-34], [-41], [14], [-66], [-40], [52], [-62], [2], [27], [71], [43], [-20], [-6], [-49], [62], [73], [42], [-69], [26], [20], [-12], [-4], [10], [-22], [-46], [-31], [67], [29], [-70], [81], [24], [-3], [-46], [-6], [-2], [21], [60], [-63], [-18], [-78], [44], [-20], [-63], [-38], [-54], [-12], [1], [-29], [-50], [-23], [54], [-63], [-39], [-6], [33], [50], [-58], [-88], [72], [-23], [-24], [68], [-74], [-86], [-79], [16], [-35], [29], [11], [-54], [-65], [-80], [-70], [-74], [31], [-62], [-20], [75], [16], [-6], [58], [-66], [-64], [3], [10], [60], [-77], [-36], [-74], [46], [3], [-5], [11], [-90], [-59], [-38], [-22], [47], [-28], [-37], [86], [92], [78], [2], [-21], [77], [-17], [2], [-56], [71], [34], [31], [48], [85], [-26], [-29], [-14], [11], [-11], [-96], [-56], [20], [-99], [-8], [19], [49], [84], [-36], [52], [51], [-34], [-48], [26], [96], [-43], [72], [73], [-51], [-76], [0], [-50], [-84], [-106], [-82], [66], [-48], [-24], [-46], [42], [31], [18], [-62], [-66]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 103582791463082140, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '6300.2.a.x', 'level': 6300, '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': [0, 0, 0, 0, 0, 0, 0, 0, 4, 4, 6, 6, 7, 7, 7, 7], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [11, 12, 12, 12, 12, 12, 12, 12, 6, 6, 6, 6, 6, 6, 6, 6], 'ALdims_old': [79, 90, 90, 78, 90, 78, 78, 90, 80, 86, 84, 78, 83, 77, 77, 83], 'Nk2': 25200, 'analytic_conductor': 50.305753273406644, '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': [6300, 1, [3151, 2801, 3277, 3601], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1369, 'dim': 48, 'eis_dim': 143, 'eis_new_dim': 0, 'hecke_cutter_primes': [11, 13, 17, 37], 'hecke_orbit_code': 33560732, '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, 4, 4], 'label': '6300.2.a', 'level': 6300, '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': 1512, 'mf_new_dim': 48, 'num_forms': 38, 'plus_dim': 24, 'prim_orbit_index': 1, 'relative_dim': 48, 'sturm_bound': 2880, 'trace_bound': 17, 'trace_display': [0, 0, 0, 0], 'traces': [48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 8, 0, 0, 0, 8, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, -24, 0, -20, 0, 0, 0, 0, 0, -12, 0, 0, 0, -4, 0, -4, 0, 0, 0, 4, 0, 48, 0, 0, 0, -8, 0, 0, 0, 0, 0, 20, 0, -4, 0, 0, 0, 0, 0, -20, 0, 0, 0, -40, 0, -4, 0, 0, 0, 0, 0, -8, 0, 0, 0, -48, 0, 0, 0, 0, 0, -44, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, -28, 0, 28, 0, 0, 0, 0, 0, -16, 0, 0, 0, 28, 0, 0, 0, 0, 0, 8, 0, 32, 0, 0, 0, 0, 0, 44, 0, 0, 0, 40, 0, -12, 0, 0, 0, -12, 0, 4, 0, 0, 0, -28, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, -16, 0, -24, 0, 0, 0, 4, 0, 12, 0, 0, 0, 32, 0, 0, 0, 0, 0, -44, 0, -28, 0, 0, 0, 0, 0, -52, 0, 0, 0, -32, 0, 44, 0, 0, 0, -24, 0, 12, 0, 0, 0, 24, 0, 0, 0, 0, 0, 24, 0, -36, 0, 0, 0, 0, 0, -4, 0, 0, 0, -36, 0, 4, 0, 0, 0, 44, 0, -40, 0, 0, 0, 68, 0, 0, 0, 0, 0, 8, 0, 16, 0, 0, 0, 0, 0, 4, 0, 0, 0, 40, 0, -24, 0, 0, 0, -12, 0, -16, 0, 0, 0, -32, 0, 0, 0, 0, 0, 44, 0, 92, 0, 0, 0, 0, 0, 76, 0, 0, 0, 8, 0, 60, 0, 0, 0, -16, 0, 92, 0, 0, 0, -80, 0, 0, 0, 0, 0, 4, 0, 8, 0, 0, 0, 0, 0, -20, 0, 0, 0, 144, 0, -48, 0, 0, 0, -56, 0, -40, 0, 0, 0, 52, 0, 0, 0, 0, 0, -36, 0, -12, 0, 0, 0, 0, 0, -12, 0, 0, 0, -76, 0, 0, 0, 0, 0, 44, 0, -64, 0, 0, 0, -32, 0, 0, 0, 0, 0, 120, 0, -56, 0, 0, 0, 0, 0, -36, 0, 0, 0, -32, 0, 12, 0, 0, 0, 44, 0, -28, 0, 0, 0, 56, 0, 0, 0, 0, 0, -32, 0, -168, 0, 0, 0, 0, 0, 56, 0, 0, 0, -80, 0, -52, 0, 0, 0, -64, 0, -104, 0, 0, 0, 28, 0, 0, 0, 0, 0, 60, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 168, 0, 28, 0, 0, 0, -8, 0, 92, 0, 0, 0, 96, 0, 0, 0, 0, 0, -48, 0, -148, 0, 0, 0, 0, 0, 104, 0, 0, 0, 196, 0, 0, 0, 0, 0, 28, 0, 24, 0, 0, 0, -92, 0, 0, 0, 0, 0, -28, 0, -60, 0, 0, 0, 0, 0, 0, 0, 0, 0, -60, 0, -76, 0, 0, 0, 0, 0, -68, 0, 0, 0, -148, 0, 0, 0, 0, 0, 84, 0, 36, 0, 0, 0, 0, 0, -12, 0, 0, 0, 16, 0, -56, 0, 0, 0, -36, 0, 60, 0, 0, 0, 84, 0, 0, 0, 0, 0, 4, 0, 72, 0, 0, 0, 0, 0, -48, 0, 0, 0, -136, 0, -8, 0, 0, 0, 108, 0, -204, 0, 0, 0, -32, 0, 0, 0, 0, 0, 44, 0, -60, 0, 0, 0, 0, 0, -96, 0, 0, 0, -4, 0, -36, 0, 0, 0, 64, 0, 160, 0, 0, 0, 64, 0, 0, 0, 0, 0, 20, 0, -16, 0, 0, 0, 0, 0, 20, 0, 0, 0, -36, 0, 56, 0, 0, 0, -28, 0, 28, 0, 0, 0, 52, 0, 0, 0, 0, 0, -144, 0, 152, 0, 0, 0, 0, 0, 8, 0, 0, 0, 68, 0, 28, 0, 0, 0, 48, 0, 92, 0, 0, 0, 112, 0, 0, 0, 0, 0, 128, 0, -96, 0, 0, 0, 0, 0, 8, 0, 0, 0, -4, 0, -36, 0, 0, 0, -72, 0, 32, 0, 0, 0, -28, 0, 0, 0, 0, 0, -160, 0, 140, 0, 0, 0, 0, 0, -100, 0, 0, 0, -76, 0, -8, 0, 0, 0, -40, 0, -132, 0, 0, 0, -232, 0, 0, 0, 0, 0, -68, 0, 68, 0, 0, 0, 0, 0, -48, 0, 0, 0, 56, 0, -16, 0, 0, 0, -100, 0, -136, 0, 0, 0, 136, 0, 0, 0, 0, 0, -8, 0, 308, 0, 0, 0, 0, 0, 36, 0, 0, 0, 168, 0, -32, 0, 0, 0, -4, 0, -132, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, -84, 0, 0, 0, 0, 0, 12, 0, 0, 0, 32, 0, 40, 0, 0, 0, 96, 0, 188, 0, 0, 0, 40, 0, 0, 0, 0, 0, -8, 0, -288, 0, 0, 0, 0, 0, -32, 0, 0, 0, -148, 0, 36, 0, 0, 0, -76, 0, 136, 0, 0, 0, 8, 0, 0, 0, 0, 0, -4, 0, 88, 0, 0, 0, 0, 0, -16, 0, 0, 0, 4, 0, 132, 0, 0, 0, -76, 0, 8, 0, 0, 0, 104, 0, 0, 0, 0, 0, 232, 0, 52, 0, 0, 0, 0, 0, 16, 0, 0, 0, 228, 0, -24, 0, 0, 0, -32, 0, -48, 0, 0, 0, -172, 0, 0, 0, 0, 0, -68, 0, -56, 0, 0, 0, 0, 0, 32, 0, 0, 0, -104, 0, 16, 0, 0, 0, 0, 0, 112, 0, 0, 0, -240, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, -148, 0, 96, 0, 0, 0, -88, 0, -96, 0, 0, 0, 128, 0, 0, 0, 0, 0, 40, 0, 144, 0, 0, 0, 0, 0, 12, 0, 0, 0, -96, 0, 8, 0, 0, 0, 72, 0, -116, 0, 0, 0, -124, 0, 0, 0, 0, 0, -28, 0, -108, 0, 0, 0, 0, 0, 136, 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: 1297017
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 24, 'source_is_minimal': False, 'source_label': '6300.2.a.x', 'source_level': 6300, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 7, 'target_is_minimal': True, 'target_label': '2100.2.a.g', 'target_level': 2100, 'twist_class_label': '2100.2.a.g', 'twist_class_level': 2100, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1297018
    {'conductor': 15, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 24, 'source_is_minimal': False, 'source_label': '6300.2.a.x', 'source_level': 6300, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 13, 'target_is_minimal': True, 'target_label': '2100.2.a.m', 'target_level': 2100, 'twist_class_label': '2100.2.a.g', 'twist_class_level': 2100, 'twisting_char_label': '15.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 1297019
    {'conductor': 15, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 24, 'source_is_minimal': False, 'source_label': '6300.2.a.x', 'source_level': 6300, 'target_char_orbit': 11, 'target_dim': 2, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '2100.2.k.f', 'target_level': 2100, 'twist_class_label': '2100.2.a.g', 'twist_class_level': 2100, 'twisting_char_label': '15.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 1297020
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 24, 'source_is_minimal': False, 'source_label': '6300.2.a.x', 'source_level': 6300, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '6300.2.a.f', 'target_level': 6300, 'twist_class_label': '2100.2.a.g', 'twist_class_level': 2100, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1297021
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 24, 'source_is_minimal': False, 'source_label': '6300.2.a.x', 'source_level': 6300, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 24, 'target_is_minimal': False, 'target_label': '6300.2.a.x', 'target_level': 6300, 'twist_class_label': '2100.2.a.g', 'twist_class_level': 2100, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 1297022
    {'conductor': 5, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 24, 'source_is_minimal': False, 'source_label': '6300.2.a.x', 'source_level': 6300, 'target_char_orbit': 11, 'target_dim': 2, 'target_hecke_orbit': 8, 'target_is_minimal': False, 'target_label': '6300.2.k.h', 'target_level': 6300, 'twist_class_label': '2100.2.a.g', 'twist_class_level': 2100, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 1297023
    {'conductor': 60, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 24, 'source_is_minimal': False, 'source_label': '6300.2.a.x', 'source_level': 6300, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 24, 'target_is_minimal': False, 'target_label': '8400.2.a.x', 'target_level': 8400, 'twist_class_label': '2100.2.a.g', 'twist_class_level': 2100, 'twisting_char_label': '60.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 1297024
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 24, 'source_is_minimal': False, 'source_label': '6300.2.a.x', 'source_level': 6300, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 48, 'target_is_minimal': False, 'target_label': '8400.2.a.bv', 'target_level': 8400, 'twist_class_label': '2100.2.a.g', 'twist_class_level': 2100, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 4146475
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 103582791463082140, 'p': 2}
  • id: 4146476
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 103582791463082140, 'p': 3}
  • id: 4146477
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 103582791463082140, 'p': 5}
  • id: 4146478
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 103582791463082140, 'p': 7}
  • id: 4146479
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 103582791463082140, 'p': 11}
  • id: 4146480
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 103582791463082140, 'p': 13}
  • id: 4146481
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 103582791463082140, 'p': 17}
  • id: 4146482
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 103582791463082140, 'p': 19}
  • id: 4146483
    {'charpoly_factorization': [[[7, 1], 1]], 'hecke_orbit_code': 103582791463082140, 'p': 23}
  • id: 4146484
    {'charpoly_factorization': [[[-9, 1], 1]], 'hecke_orbit_code': 103582791463082140, 'p': 29}
  • id: 4146485
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 103582791463082140, 'p': 31}
  • id: 4146486
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 103582791463082140, 'p': 37}
  • id: 4146487
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 103582791463082140, 'p': 41}
  • id: 4146488
    {'charpoly_factorization': [[[9, 1], 1]], 'hecke_orbit_code': 103582791463082140, 'p': 43}
  • id: 4146489
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 103582791463082140, 'p': 47}
  • id: 4146490
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 103582791463082140, 'p': 53}
  • id: 4146491
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 103582791463082140, 'p': 59}
  • id: 4146492
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 103582791463082140, 'p': 61}
  • id: 4146493
    {'charpoly_factorization': [[[-9, 1], 1]], 'hecke_orbit_code': 103582791463082140, 'p': 67}
  • id: 4146494
    {'charpoly_factorization': [[[5, 1], 1]], 'hecke_orbit_code': 103582791463082140, 'p': 71}
  • id: 4146495
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 103582791463082140, 'p': 73}
  • id: 4146496
    {'charpoly_factorization': [[[15, 1], 1]], 'hecke_orbit_code': 103582791463082140, 'p': 79}
  • id: 4146497
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 103582791463082140, 'p': 83}
  • id: 4146498
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 103582791463082140, 'p': 89}
  • id: 4146499
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 103582791463082140, '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': 24, 'label': '6300.2.a.x', 'level': 6300, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 66016243
    {'hecke_orbit_code': 103582791463082140, 'n': 1, 'trace_an': 1}
  • id: 66016244
    {'hecke_orbit_code': 103582791463082140, 'n': 2, 'trace_an': 0}
  • id: 66016245
    {'hecke_orbit_code': 103582791463082140, 'n': 3, 'trace_an': 0}
  • id: 66016246
    {'hecke_orbit_code': 103582791463082140, 'n': 4, 'trace_an': 0}
  • id: 66016247
    {'hecke_orbit_code': 103582791463082140, 'n': 5, 'trace_an': 0}
  • id: 66016248
    {'hecke_orbit_code': 103582791463082140, 'n': 6, 'trace_an': 0}
  • id: 66016249
    {'hecke_orbit_code': 103582791463082140, 'n': 7, 'trace_an': 1}
  • id: 66016250
    {'hecke_orbit_code': 103582791463082140, 'n': 8, 'trace_an': 0}
  • id: 66016251
    {'hecke_orbit_code': 103582791463082140, 'n': 9, 'trace_an': 0}
  • id: 66016252
    {'hecke_orbit_code': 103582791463082140, 'n': 10, 'trace_an': 0}
  • id: 66016253
    {'hecke_orbit_code': 103582791463082140, 'n': 11, 'trace_an': -1}
  • id: 66016254
    {'hecke_orbit_code': 103582791463082140, 'n': 12, 'trace_an': 0}
  • id: 66016255
    {'hecke_orbit_code': 103582791463082140, 'n': 13, 'trace_an': 4}
  • id: 66016256
    {'hecke_orbit_code': 103582791463082140, 'n': 14, 'trace_an': 0}
  • id: 66016257
    {'hecke_orbit_code': 103582791463082140, 'n': 15, 'trace_an': 0}
  • id: 66016258
    {'hecke_orbit_code': 103582791463082140, 'n': 16, 'trace_an': 0}
  • id: 66016259
    {'hecke_orbit_code': 103582791463082140, 'n': 17, 'trace_an': -2}
  • id: 66016260
    {'hecke_orbit_code': 103582791463082140, 'n': 18, 'trace_an': 0}
  • id: 66016261
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  • id: 66016266
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  • id: 66016269
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  • id: 66016271
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  • id: 66016275
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  • id: 66016281
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  • id: 66016284
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  • id: 66016332
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  • id: 66016344
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  • id: 66016350
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  • id: 66016351
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  • id: 66016355
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  • id: 66016356
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  • id: 66016358
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  • id: 66016359
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  • id: 66016360
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  • id: 66016361
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  • id: 66016362
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  • id: 66016363
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  • id: 66016364
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  • id: 66016365
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  • id: 66016366
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  • id: 66016367
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  • id: 66016368
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  • id: 66016369
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  • id: 66016370
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  • id: 66016371
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  • id: 66016372
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  • id: 66016373
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  • id: 66016374
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  • id: 66016375
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  • id: 66016376
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  • id: 66016378
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  • id: 66016379
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  • id: 66016380
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  • id: 66016381
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  • id: 66016382
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  • id: 66016383
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  • id: 66016384
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  • id: 66016386
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  • id: 66016387
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  • id: 66016388
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  • id: 66016389
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  • id: 66016390
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  • id: 66016391
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  • id: 66016392
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  • id: 66016393
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  • id: 66016395
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  • id: 66016396
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  • id: 66016397
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  • id: 66016398
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  • id: 66016399
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  • id: 66016400
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  • id: 66016401
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  • id: 66016402
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  • id: 66016403
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  • id: 66016404
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  • id: 66016405
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  • id: 66016406
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  • id: 66016407
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  • id: 66016408
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  • id: 66016409
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  • id: 66016410
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  • id: 66016411
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  • id: 66016412
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  • id: 66016413
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  • id: 66016414
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  • id: 66016415
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  • id: 66016416
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  • id: 66016417
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  • id: 66016418
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  • id: 66016419
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  • id: 66016420
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  • id: 66016421
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  • id: 66016422
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  • id: 66016423
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  • id: 66016424
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  • id: 66016426
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  • id: 66016427
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  • id: 66016428
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  • id: 66016429
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  • id: 66016430
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  • id: 66016431
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  • id: 66016432
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  • id: 66016434
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  • id: 66016435
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  • id: 66016441
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  • id: 66016442
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  • id: 66016445
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  • id: 66016446
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  • id: 66016447
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  • id: 66016448
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  • id: 66016452
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  • id: 66016453
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  • id: 66016454
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  • id: 66016455
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  • id: 66016456
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  • id: 66016460
    {'hecke_orbit_code': 103582791463082140, 'n': 733, 'trace_an': -36}
  • id: 66016461
    {'hecke_orbit_code': 103582791463082140, 'n': 739, 'trace_an': -9}
  • id: 66016462
    {'hecke_orbit_code': 103582791463082140, 'n': 743, 'trace_an': 24}
  • id: 66016463
    {'hecke_orbit_code': 103582791463082140, 'n': 751, 'trace_an': 40}
  • id: 66016464
    {'hecke_orbit_code': 103582791463082140, 'n': 757, 'trace_an': -7}
  • id: 66016465
    {'hecke_orbit_code': 103582791463082140, 'n': 761, 'trace_an': 4}
  • id: 66016466
    {'hecke_orbit_code': 103582791463082140, 'n': 769, 'trace_an': 40}
  • id: 66016467
    {'hecke_orbit_code': 103582791463082140, 'n': 773, 'trace_an': 26}
  • id: 66016468
    {'hecke_orbit_code': 103582791463082140, 'n': 787, 'trace_an': 26}
  • id: 66016469
    {'hecke_orbit_code': 103582791463082140, 'n': 797, 'trace_an': 54}
  • id: 66016470
    {'hecke_orbit_code': 103582791463082140, 'n': 809, 'trace_an': 23}
  • id: 66016471
    {'hecke_orbit_code': 103582791463082140, 'n': 811, 'trace_an': -6}
  • id: 66016472
    {'hecke_orbit_code': 103582791463082140, 'n': 821, 'trace_an': -10}
  • id: 66016473
    {'hecke_orbit_code': 103582791463082140, 'n': 823, 'trace_an': -11}
  • id: 66016474
    {'hecke_orbit_code': 103582791463082140, 'n': 827, 'trace_an': -33}
  • id: 66016475
    {'hecke_orbit_code': 103582791463082140, 'n': 829, 'trace_an': -34}
  • id: 66016476
    {'hecke_orbit_code': 103582791463082140, 'n': 839, 'trace_an': 42}
  • id: 66016477
    {'hecke_orbit_code': 103582791463082140, 'n': 841, 'trace_an': 52}
  • id: 66016478
    {'hecke_orbit_code': 103582791463082140, 'n': 853, 'trace_an': 28}
  • id: 66016479
    {'hecke_orbit_code': 103582791463082140, 'n': 857, 'trace_an': 4}
  • id: 66016480
    {'hecke_orbit_code': 103582791463082140, 'n': 859, 'trace_an': 14}
  • id: 66016481
    {'hecke_orbit_code': 103582791463082140, 'n': 863, 'trace_an': -33}
  • id: 66016482
    {'hecke_orbit_code': 103582791463082140, 'n': 877, 'trace_an': -34}
  • id: 66016483
    {'hecke_orbit_code': 103582791463082140, 'n': 881, 'trace_an': 54}
  • id: 66016484
    {'hecke_orbit_code': 103582791463082140, 'n': 883, 'trace_an': 1}
  • id: 66016485
    {'hecke_orbit_code': 103582791463082140, 'n': 887, 'trace_an': -52}
  • id: 66016486
    {'hecke_orbit_code': 103582791463082140, 'n': 907, 'trace_an': 24}
  • id: 66016487
    {'hecke_orbit_code': 103582791463082140, 'n': 911, 'trace_an': 9}
  • id: 66016488
    {'hecke_orbit_code': 103582791463082140, 'n': 919, 'trace_an': -59}
  • id: 66016489
    {'hecke_orbit_code': 103582791463082140, 'n': 929, 'trace_an': 26}
  • id: 66016490
    {'hecke_orbit_code': 103582791463082140, 'n': 937, 'trace_an': 36}
  • id: 66016491
    {'hecke_orbit_code': 103582791463082140, 'n': 941, 'trace_an': -54}
  • id: 66016492
    {'hecke_orbit_code': 103582791463082140, 'n': 947, 'trace_an': -36}
  • id: 66016493
    {'hecke_orbit_code': 103582791463082140, 'n': 953, 'trace_an': -21}
  • id: 66016494
    {'hecke_orbit_code': 103582791463082140, 'n': 961, 'trace_an': -27}
  • id: 66016495
    {'hecke_orbit_code': 103582791463082140, 'n': 967, 'trace_an': 40}
  • id: 66016496
    {'hecke_orbit_code': 103582791463082140, 'n': 971, 'trace_an': 24}
  • id: 66016497
    {'hecke_orbit_code': 103582791463082140, 'n': 977, 'trace_an': 33}
  • id: 66016498
    {'hecke_orbit_code': 103582791463082140, 'n': 983, 'trace_an': 58}
  • id: 66016499
    {'hecke_orbit_code': 103582791463082140, 'n': 991, 'trace_an': 37}
  • id: 66016500
    {'hecke_orbit_code': 103582791463082140, 'n': 997, 'trace_an': -28}