Newform data - 1210.2.a.r

Formats: - HTML - YAML - JSON - 2025-09-23T09:02:55.311274

• 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': 4840, 'analytic_conductor': 9.661898644574926, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -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': [1210, 1, [727, 1091], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 33, 'field_disc_factorization': [[3, 1], [11, 1]], 'field_poly': [-8, -1, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[3, [-8, 1, 1]], [7, [-8, 1, 1]], [13, [2, 1]], [17, [-6, -3, 1]]], 'hecke_orbit': 18, 'hecke_orbit_code': 76561193698854074, 'hecke_ring_generator_nbound': 3, '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': '1210.2.a.r', 'level': 1210, '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, 5, 11], 'level_radical': 110, 'minimal_twist': '110.2.a.d', 'nf_label': '2.2.33.1', 'prim_orbit_index': 1, 'qexp_display': 'q+q^{2}-\\beta q^{3}+q^{4}+q^{5}-\\beta q^{6}-\\beta q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1210.2.a', 'trace_display': [2, -1, 2, -1], 'trace_hash': 957115723595039267, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.023', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.895', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.099', 'prec': 17}, {'__RealLiteral__': 0, 'data': '8.818', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.229', 'prec': 17}, {'__RealLiteral__': 0, 'data': '56.979', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.013', 'prec': 17}, 'traces': [2, 2, -1, 2, 2, -1, -1, 2, 11, 2, 0, -1, -4, -1, -1, 2, 3, 11, -7, 2, 17, 0, -6, -1, 2, -4, -19, -1, 3, -1, 1, 2, 0, 3, -1, 11, 13, -7, 2, 2, 0, 17, 8, 0, 11, -6, -6, -1, 3, 2, 15, -4, 9, -19, 0, -1, -13, 3, 6, -1, 5, 1, -22, 2, -4, 0, 16, 3, -30, -1, 3, 11, 8, 13, -1, -7, 0, 2, 14, 2, 26, 0, -6, 17, 3, 8, 15, 0, 3, 11, 2, -6, -17, -6, -7, -1, -14, 3, 0, 2, -12, 15, 4, -4, 17, 9, 24, -19, 8, 0, -23, -1, 18, -13, -6, 3, -22, 6, 15, -1, 0, 5, -66, 1, 2, -22, -16, 2, -4, -4, -27, 0, -13, 16, -19, 3, 6, -30, 8, -1, -30, 3, 0, 11, 3, 8, -18, 13, -3, -1, -10, -7, 0, 0, 1, 2, 13, 14, 45, 2, -30, 26, -29, 0, 0, -6, 15, 17, -18, 3, -22, 8, 12, 15, -1, 0, 30, 3, -24, 11, -20, 2, -19, -6, 13, -17, 0, -6, 59, 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-102, 30, 0, 0, 3, 29, 10, -13, 42, -51, 131, 0, -34, 0, -19, 15, 16, -7, 18, 24, -108, 66, -74, 16, 0, 3, -96, 12, -22, 8, 132, -6, -39, 0, 24, 0, 27, 12, -24, -19, -83, 84, -32, 23, -2, 114, 0, 32, 242, -17, -30, 10, -198, -50, 15, 3, -33, 0, 10, 8, 106, -27, 6, -34, 54, 31, -181, -40, 0, -70, 22, 6, 60, -57, 8, 44, 88, -23, 128, 0, 51, 4, -92, -27, 33, 42, 3, -30, -10, -6, 0, 26, -18, -198, 36, 14, -184, -36, 147, -23, 167, 0, 44, 8, 3, 27, 9, 36, 9, -26, -24, 22, 0, 50, 117, -16, -72, 86, -4, -1, -42, -54, 6, 0, 12, -20, 204, -36, -24, 11, 65, -18, -77, 24, 0, -30, 49, -40, 0, 18, -69, -30, 70, -22, -94, 0, 15, -145, 40, -6, 130, 3, 123, 82, 2, 42, 0, 24, 36, -13, 79, -35, 114, -25, -19, -88, -109, 0, 134, -20, 54, 60, -8, 23, 21, -66, 24, -114, 0, -6, -60, -84, 24, 11, -15, -14, -22, 28, -33, 0, 43, -13, 198, -6, 34, 83, -140, -1, 129, 3, 0, -76, 36, -30, -17, -24, 48, 40, -24, 3, -242, 0, 9, -6, -33, 8, 198, 9, -9, -22, -26, -2, 0, -24, -8, -78, -59, 21, -93, -6, -108, -18, 40, 0, -23, 13, -117, -198, 65, 6, -208, -102, 12, -48, 0, 9, 198, 13, -144, 26, -43, 48, 120, 60, -7, 0, -116, -66, 38, 15, -30, -134, 5, -3, 0, -12, 0, -59, 125, 18, -66, 12, 9, -22, 12, -39, -78, 0, 69, -1, -98, -58, 21, 56, -26, -27, -42, -4, 0, 44, -45, 88, 56, -45, -18, -10, 24, 34, -132, 0, -66, -6, -120, 6, -14, -56, 18, 29, -114, -88, 0, -7, 113, -12, 40, 9, -124, -126, 176, 5, -102, 0, 74, 12, -35, 21, 0, 0, -26, 3, -52, -64, 0, 80, 9, -22, -118, 75, 51, -66, -72, -34, 66, 0, 21, 66, 67, 30, 28, 14, -54, 64, 106, 103, 0, -20, -96, 18, 104, 1, 156, -54, -24, -42, -51, 0, 52, 33, 45, -30, -126, 15, 110, 12, -44, 2, 0, -118, 6, 2, 66, 44, 11, -44, 9, 12, 108, 0, 2, -6, 145, 13, 0, 12, 24, 3, 120, 60, 0, -22, 74, 28, 68, 67, -12, -92, 114, 14, -198, 0, -60, 47, 111, 10, 9, 3, 24, -42, -140, -16, 0, 66, -48, 45, 54, -56, -88, -6, -51, 15, 14, 0, -162, 45, -70, 66, 148, 88, -202, 2, -60, 59, 0, 9, 17, 36, -114, -12, 4, 36, 159, -29, 30, 0, 4, -30, 70, 12, -24, -4, 21, 40, -396, -27, 0, -144, -38, -18, 6, -23, -6, 26, -85, 29, -6, 0, -36, -164, -120, -4, -121, -78, 12, 25, 48, -68, 0, -29, -102, 0, 86, 27, 16, 21, -16, -70, 101, 0, 232, -27, -6, 138, 20, 0, 17, 24, 69, 110, 0, 21, 146, -30, -144, 128, -15, 3, -198, 12, -30, 0, -28, -11, -18, 40, 38, -78, -52, 16, -17, 9, 0, -30, 82, -43, 0, -6, -63, -84, 68, -13, -120, 0, -108, 88, 0, 4, -136, -42, 3, 15, 40, 15, 0, 60, 24, 46, 31, -8, 138, 16, -114, -132, 44, 0, 12, 54, 6, 17, 103, -6, 0, -1, -45, -138, 0, -31, -9, 39, -156, -19, 118, 83, 117, -18, 23, 0, -80, -18, -88, 32, 24, 24, -76, -84, 10, 40, 0, 44, -58, 3, -95, 48, -6, -30, 8, -42, 114, 0, 9, -34, 46, -63, -87, -60, -40, -22, -78, 27, 0, 6, -75, -139, -10, -11, 44, 15, 0, 10, 23, 0, -279, 8, 48, -93, -27, -18, 128, -48, -15, -30, 0, 32, -88, 46, 26, 57, 20, 12, 102, 14, -93, 0, -84, 38, -23, 30, 6, 82, -134, 8, 160, -48, 0, 15, 36, -59, -147, -66, 0, 22, 14, -16, 30, 0, -16, 15, 19, 26, 198, -1, 0, 33, -95, 69, 0, 18, -27, 38, 83, -36, 26, -29, 12, 136, -18, 0, -242, 15, 78, -30, 34, -42, -165, -24, 18, 88, 0, 6, 132, -22, -105, 30, -52, -16, -145, -20, -42, 0, 39, 3, -117, -12, 12, 44, 42, -8, 140, 3, 0, -13, -64, 30, -132, -36, -25, 9, -16, -19, 81, 0, -30, 63, 80, -24, 60, -60, 18, -42, 134, -66, 0, 0, -27, 60, -6, 45, 84, 15, -108, 11, 64, 0, 6, 64, 28, 46, 52, 3, -228, -13, -24, -22, 0, -64, 83, -20, 144, -132, 52, 3, 143, -48, -21, 0, -30, 40, -66, -14, -30, 40, 198, 2, -108, 30, 0, 98, 74, -85, 68, 8, 48, -20, 58, 12, -22, 0, -24, -19, -18, -24, -96, -58, 12, -110, 21, -8, 0, -36, 105, -18, 18, -58, -274, -6, 13, -21, -92, 0, 150, 6, 12, 66, 52, 47, -48, -28, -21, 39, 0, 13, -132, 48, 69, 26, 48, -20, -120, 45, 18, 0, 148, 15, -8, 45, 15, -17, 40, -11, 220, -3, 0, 75, -29, -40, -59, -24, 72, 0, 24, 12, 104, 0, 264, 88, -39, -12, 301, 12, 114, -1], '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, -1], [1, 0], [1, 0], [0, -1], [0, -1], [1, 0], [5, 1], [1, 0], [0, 0], [0, -1], [-2, 0], [0, -1], [0, -1], [1, 0], [2, -1], [5, 1], [-4, 1], [1, 0], [8, 1], [0, 0], [-4, 2], [0, -1], [1, 0], [-2, 0], [-8, -3], [0, -1], [2, -1], [0, -1], [0, 1], [1, 0], [0, 0], [2, -1], [0, -1], [5, 1], [6, 1], [-4, 1], [0, 2], [1, 0], [-2, 4], [8, 1], [4, 0], [0, 0], [5, 1], [-4, 2], [-4, 2], [0, -1], [1, 1], [1, 0], [8, -1], [-2, 0], [6, -3], [-8, -3], [0, 0], [0, -1], [-8, 3], [2, -1], [4, -2], [0, -1], [2, 1], [0, 1], [-8, -6], [1, 0], [-2, 0], [0, 0], [8, 0], [2, -1], [-16, 2], [0, -1], [0, 3], [5, 1], [2, 4], [6, 1], [0, -1], [-4, 1], [0, 0], [0, 2], [8, -2], [1, 0], [9, 8], [-2, 4], [-4, 2], [8, 1], [2, -1], [4, 0], [8, -1], [0, 0], [2, -1], [5, 1], [0, 2], [-4, 2], [-8, -1], [-4, 2], [-4, 1], [0, -1], [-6, -2], [1, 1], [0, 0], [1, 0]], 'ap': [[1, 0], [0, -1], [1, 0], [0, -1], [0, 0], [-2, 0], [2, -1], [-4, 1], [-4, 2], [2, -1], [0, 1], [6, 1], [-2, 4], [4, 0], [-4, 2], [6, -3], [4, -2], [2, 1], [8, 0], [0, 3], [2, 4], [8, -2], [-4, 2], [2, -1], [-6, -2], [-6, 0], [4, -4], [12, 0], [2, 4], [10, -2], [-8, 0], [-12, -3], [2, 2], [4, 0], [2, -7], [-8, 6], [6, 1], [-16, 3], [8, -1], [6, 0], [-12, 0], [-10, 0], [8, -4], [2, -5], [14, 2], [8, 3], [4, -3], [-12, -2], [-4, 2], [-10, 0], [2, -1], [8, 2], [22, 0], [-4, 2], [18, 0], [8, 5], [-2, -2], [16, 0], [6, 2], [-18, 0], [-12, 2], [-10, -4], [-12, 2], [16, 1], [-22, 0], [6, -9], [4, 8], [-14, -3], [12, 6], [-6, -4], [-14, 4], [0, 0], [-4, 0], [-18, -4], [20, -6], [12, 6], [6, 0], [-2, 8], [10, 1], [22, -6], [-12, 0], [-10, 6], [8, 8], [-6, 10], [8, -8], [16, 4], [2, 8], [-14, 9], [-6, -3], [20, -6], [-16, -1], [8, -4], [20, 0], [4, 1], [-20, -4], [8, 8], [30, -6], [26, -4], [-4, -8], [10, 3], [-20, 0], [22, -8], [-12, 6], [22, -2], [-12, -1], [10, 8], [8, 5], [26, -4], [-16, -7], [30, -4], [16, -3], [-34, 4], [18, -6], [-4, -12], [32, 3], [10, -11], [-16, 3], [-4, -10], [14, -1], [4, -5], [22, -4], [2, -5], [-10, 2], [-32, 1], [20, 6], [34, 1], [-10, 0], [24, -3], [-4, -6], [-26, -6], [-20, 12], [8, -1], [-8, 5], [6, -8], [22, -8], [22, 0], [-10, -7], [4, 12], [-2, 4], [-18, 0], [-28, -5], [2, -4], [-28, 0], [-20, -8], [-18, -2], [16, -8], [-2, 12], [-6, -9], [-36, -2], [28, -2], [-10, -8], [18, 0], [0, 1], [-16, 8], [-24, 7], [-32, 7], [8, -8], [-6, 9], [42, -4], [-22, 11], [32, 5], [-30, -3], [-24, -7], [-28, 8], [-6, 6], [20, -10], [8, 0], [-2, -6], [-26, 0], [6, 9], [28, 1], [30, 4], [24, 6], [-14, 3], [-16, 0], [18, 9], [-4, -8], [22, -14], [16, -3], [-6, 5], [-28, 6], [-20, 13], [14, 3], [-30, 3], [20, 2], [-26, 16], [22, 6], [-16, 12], [-26, 12], [-40, -4], [-6, -2], [-12, 0], [4, -10], [-50, -2], [28, 4], [-6, 0], [-26, -6], [-26, -4], [-14, 16], [8, 5], [34, 7], [-24, 14], [54, -5], [-58, -2], [28, 4], [22, 1], [40, 8], [20, -4], [-2, 16], [20, 0], [10, 9], [-42, 6], [-28, -12], [8, 5], [16, -20], [2, -15], [-24, 5], [30, -12], [-36, 12], [14, -13], [18, -4], [16, -6], [10, -5], [-4, 0], [-12, -12], [-14, 9], [-30, 0], [0, 15], [-32, 0], [-28, 8], [14, 12], [-44, 3], [-24, -10], [30, -12], [-8, -4], [24, -3], [-6, 1], [-10, -4], [4, 4], [8, 5], [16, 13], [-44, 0], [4, 20], [14, 0], [18, 0], [0, -18], [-4, 12], [-44, -2], [-20, -3], [16, 13], [-2, 12], [-34, 2], [28, -14], [2, 9], [54, 6], [-44, 13], [38, -6], [4, -18], [-26, -8], [-14, 21], [-8, 0], [12, 0], [-22, -11], [14, 16], [-14, 10], [-4, 0], [-18, 6], [18, 15], [-44, 0], [54, 0], [14, -12], [-48, 1], [2, -6], [16, -6], [26, -17], [12, 10], [-48, 0], [-38, 0], [14, -20], [4, 7], [-32, 7], [-16, 12], [8, -16], [34, -15], [52, 0], [64, 1], [26, 12], [54, -12], [64, -1], [-50, 4], [-2, -14], [16, -20], [-30, 3], [12, 3], [-2, 12], [34, -8], [0, -8], [-42, 3], [-44, 16], [-28, 10], [-30, 17], [6, -6], [0, -16], [32, -4], [20, -18], [-14, -10], [-16, -4], [-2, 2], [-16, -19], [30, -22], [-32, 4], [-10, 8], [-34, -10], [8, 3], [-56, 7], [14, -8], [20, 2], [0, 12], [-6, -8], [30, -18], [68, -5], [2, 12], [-54, 0], [-44, 14], [-14, -11], [-38, -7], [20, -30], [-48, 4], [8, -13], [-2, -14], [82, 3], [-34, -4], [-8, 12], [4, -2], [28, 9], [0, 15], [30, -20], [58, 7], [34, 11], [-56, 3], [-10, 12], [26, -28], [-14, -5], [24, -5], [-2, 13], [-20, 31], [-26, 26], [-32, 5], [-56, 4], [-58, -1], [-20, -3], [-54, -8], [-18, 6], [-8, 21], [58, 9], [-6, 21], [32, 5], [-20, -5], [18, -12], [-60, 0], [-58, -8], [-58, 14], [-4, 8], [20, 11], [24, 19], [50, 6], [-42, -12], [-8, 27], [46, -18], [-28, -4], [-68, -4], [-24, 0], [-30, 9], [16, -18], [78, -8], [-12, 0], [0, -6], [-38, -9], [-50, -2], [50, 1], [-18, 30], [-70, -4], [-16, -20], [-30, -3], [36, -4], [-60, 12], [32, -24], [14, 3], [28, -12], [4, -2], [58, -13], [-26, 7], [-76, -4], [-40, 0], [24, -24], [-38, 0], [-32, 6], [18, -27], [28, -10], [-38, 1], [10, 3], [26, -4], [16, -12], [10, -14], [-6, 12], [-8, 30], [22, -25], [14, -28], [-40, -15], [44, -10], [-14, -24], [-26, 10], [16, -20], [-44, 24], [-14, 12], [-2, -26], [-48, -12], [28, -4], [66, 12], [0, -21], [-18, 6], [38, -2], [-12, 0], [52, 1], [26, 0], [-18, 15], [32, 5], [22, -26], [76, -4], [48, 18]], 'char_orbit_index': 1, 'field_poly': [-8, -1, 1], 'hecke_orbit_code': 76561193698854074, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 2, 'label': '1210.2.a.r', 'level': 1210, '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': [6, 3, 5, 3, 6, 3, 1, 8], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [5, 6, 6, 6, 6, 6, 6, 6], 'ALdims_old': [13, 22, 19, 17, 15, 20, 20, 14], 'Nk2': 4840, 'analytic_conductor': 9.661898644574926, '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': [1210, 1, [727, 1091], [1, 1]], 'conrey_index': 1, 'cusp_dim': 175, 'dim': 35, 'eis_dim': 47, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 7, 13, 17], 'hecke_orbit_code': 33555642, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 4, 4], 'label': '1210.2.a', 'level': 1210, '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, 5, 11], 'level_radical': 110, 'mf_dim': 222, 'mf_new_dim': 35, 'num_forms': 22, 'plus_dim': 13, 'prim_orbit_index': 1, 'relative_dim': 35, 'sturm_bound': 396, 'trace_bound': 17, 'trace_display': [1, 0, -1, -8], 'traces': [35, 1, 0, 35, -1, 0, -8, 1, 35, 1, 0, 0, -2, 4, 4, 35, 10, 13, -4, -1, 16, 0, 16, 0, 35, 14, 24, -8, 10, 0, 8, 1, 0, 18, 0, 35, -6, 0, -8, 1, -2, 0, -12, 0, -13, -12, 8, 0, 39, 1, 8, -2, -6, -24, 0, 4, 0, 10, 12, 4, -6, -8, -8, 35, 6, 0, -32, 10, 32, -8, 0, 13, 2, -2, 0, -4, 0, 8, 0, -1, 27, 18, 12, 16, 10, 8, 32, 0, 30, 13, -136, 16, -112, -4, -20, 0, -110, 25, 0, 35, 10, 0, -120, 14, 24, -2, 28, 24, 2, 0, -104, -8, 18, 32, 12, 10, -26, 4, 8, 0, 0, -14, -64, 8, -1, 44, 8, 1, -16, 10, -44, 0, -96, 8, 16, 18, -6, -48, 36, 0, 40, 8, 0, 35, -14, 2, -136, -6, -54, 0, -16, 0, -14, 0, 0, -8, 18, -32, -24, 1, 24, 25, -128, -2, 0, 24, 0, 0, 81, -2, -28, -12, -26, 16, -8, 0, 0, 42, 28, -13, -94, 32, -16, -12, -10, -32, 0, 8, 64, 16, 8, 0, -6, -14, 0, 39, 30, 0, 64, 1, -96, 50, 32, 8, -2, 12, 48, -2, 0, -8, 36, -6, 128, 8, 20, -24, 32, 18, -48, 0, 28, -32, -88, 4, 35, 58, -4, 0, 58, 12, 0, 10, -6, 30, 28, 12, 32, 48, 8, 4, 70, 0, -108, -6, 7, -116, -72, -8, -24, 1, -152, -8, 0, 28, 8, 35, 2, -204, 8, 6, -14, 32, 0, 0, 6, -64, -180, -32, 114, -24, 0, 10, -32, 18, 0, 32, 22, -196, 48, -8, -66, -32, 4, 0, -16, 0, 88, 13, 93, -14, -220, 2, -42, 8, 20, -2, 0, 34, -24, 0, -128, 32, 32, -4, 2, -202, -12, 0, 48, 16, 56, 8, 90, -2, -24, 0, 74, 32, 0, -1, 8, 64, -76, 27, -2, -48, -96, 18, -48, 0, -124, 12, 18, 36, 12, 16, -6, -41, 32, 10, 0, -156, -64, 8, 40, 30, -36, 32, -38, 4, 88, 0, 50, 8, -8, 30, 72, -60, 8, 13, 87, -58, 0, -136, -14, 56, -104, 16, 70, 22, 72, -112, -50, 0, 4, -4, 132, -72, -124, -20, 48, -24, 8, 0, 0, -170, 84, -110, 50, 0, -48, 25, 80, 14, 8, 0, -54, 80, 56, 35, 62, 0, -16, 10, 7, -24, 0, 0, 30, -6, -140, -120, 96, 12, -12, 14, -16, 0, 60, 24, 98, 64, 128, -2, 10, -32, -72, 28, 0, -4, 56, 24, -14, 32, 8, 2, 48, -108, 32, 0, 191, -36, -24, -104, 22, 4, 96, -8, 150, 13, 0, 18, -96, 16, 56, 32, -38, 6, 56, 12, -30, 0, -128, 10, 24, 98, -100, -26, -64, -4, -40, 4, 0, 0, -4, 8, 154, 8, 48, 0, -4, -22, 0, 0, 46, -72, 40, -14, 152, -23, -12, -64, 124, 32, 0, 8, -96, -156, 36, -1, 0, -20, 24, 44, -38, 0, 8, 8, 18, -16, -56, 1, -48, 26, -12, -16, 0, 40, -16, 10, -2, 74, 44, -44, 16, -4, 0, 0, 47, 22, -112, -96, 124, 24, 4, 8, 80, 14, 0, 16, 18, 8, 144, 18, 34, -40, -100, -6, 66, 0, 80, -48, -24, 22, 64, 36, 54, 40, -56, 0, 0, 106, -12, 40, 22, -140, -152, 8, 30, 24, 4, 0, 88, -48, 16, 35, -22, -45, 56, -14, 192, 16, 0, 2, -42, 38, 72, -136, -16, 28, -72, -6, 58, 0, 40, -54, 0, -24, 72, 0, 46, 32, -116, -16, 0, -168, 120, 0, -48, 2, -24, -14, -66, -176, -64, 0, 178, 80, -76, 0, -16, 24, 0, -8, 35, -38, 0, 18, 60, -176, 24, -32, 32, -2, -56, -24, -18, 0, 88, 1, -34, -124, -56, 24, 16, -16, 184, 25, 0, 14, 56, -128, 170, -96, -44, -2, 122, 128, 36, 0, 82, 20, 240, 24, -8, 118, 24, 0, -128, 8, 0, 0, -70, 130, 24, 81, -58, 32, 104, -2, -32, 0, -44, -28, 46, -88, 72, -12, -36, -24, -52, -26, 0, 32, 20, 16, 196, 26, 24, -8, 26, 96, -88, 0, -144, -22, 160, 0, 234, -16, 72, 42, 24, 0, 0, 28, -32, 72, 112, -13, 56, 45, -32, -94, 10, 0, 160, 32, 131, -26, 144, -16, -74, -36, 92, -12, 0, 26, -36, -10, 8, 40, 48, -32, 18, 110, -36, 0, -112, 0, 96, 8, 264, 36, -8, 64, 58, 100, 0, 16, 54, 72, 24, 8, -14, -52, -72, 0, 38, 0, -36, -6, 114, -152, 8, -14, 176, 54, 136, 0, 0, 72, -64, 39, 38, 48, -60, 30, -96, 8, 0, 0, 36, -18, 8, 64, 26, -64, -56, 1, -58, 34, 0, -96, -48, 40, 144, 50, 6, 25, -12, 32, -64, 0, 44, 8, -416, -218, -440, -2, -30, -48, -352, 12, 0, 48, -20, 48, -390, -204, -56, -2, -70, 88, 24, 0, -304, -12, 120, -8, 213, -10, -48, 36, -7, -4, 0, -6, -8, 18, 104, 128, 30, -40, 4, 8, -14, 0, -468, 20, -104, 56, 128, -24, 22, 2, -12, 32, 0, 16, -16, 18, -286, 96, 0, -48, -10, 40, 48, 0, 94, -11, 152, 28, 16, 32, -80, -32, -416, -6, 0, -88, 112, -232, 52, 4, 96, 18, 24, 35, 92, 0, 32, 58, 42, 208, -368, -4, -110, 8, 216, 0, 0, 122, -8, 58, 112, -116, 24, 12, -16, 98, 48, 0, -6, -36, -352, 10, -42, -8, 116, -6, 264, -80, 0, 30, -22, 136, 32, 28, -62, -32, 216, 12, 24, 0, 120, 32, -292, 0, 144, 48, -54, 22, 16, 8, 0, 40, -48, 4, 91, 124, 124, 70, 26, -120, -32, 0, 60, 10, 32, -108, -344, 52, -8, -6, -18, -16, 0, 7, 122, 144, 136, -116, 54, 20, -48, -72, 0, 0, 248, -8, 76, 128, 40, -24, 78, -52, -224, 1], 'weight': 2, 'weight_parity': 1}
• mf_twists_nf •

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

  
  
  • id: 675408
    {'conductor': 11, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '1210.2.a.r', 'source_level': 1210, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '110.2.a.d', 'target_level': 110, 'twist_class_label': '110.2.a.d', 'twist_class_level': 110, 'twisting_char_label': '11.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 675409
    {'conductor': 55, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '1210.2.a.r', 'source_level': 1210, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 14, 'target_is_minimal': False, 'target_label': '550.2.a.n', 'target_level': 550, 'twist_class_label': '110.2.a.d', 'twist_class_level': 110, 'twisting_char_label': '55.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 675410
    {'conductor': 55, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '1210.2.a.r', 'source_level': 1210, 'target_char_orbit': 2, 'target_dim': 4, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '550.2.b.f', 'target_level': 550, 'twist_class_label': '110.2.a.d', 'twist_class_level': 110, 'twisting_char_label': '55.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 675411
    {'conductor': 44, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '1210.2.a.r', 'source_level': 1210, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 14, 'target_is_minimal': False, 'target_label': '880.2.a.n', 'target_level': 880, 'twist_class_label': '110.2.a.d', 'twist_class_level': 110, 'twisting_char_label': '44.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 675412
    {'conductor': 33, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '1210.2.a.r', 'source_level': 1210, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 13, 'target_is_minimal': False, 'target_label': '990.2.a.m', 'target_level': 990, 'twist_class_label': '110.2.a.d', 'twist_class_level': 110, 'twisting_char_label': '33.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 675413
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '1210.2.a.r', 'source_level': 1210, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 18, 'target_is_minimal': False, 'target_label': '1210.2.a.r', 'target_level': 1210, 'twist_class_label': '110.2.a.d', 'twist_class_level': 110, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 675414
    {'conductor': 88, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '1210.2.a.r', 'source_level': 1210, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 36, 'target_is_minimal': False, 'target_label': '3520.2.a.bj', 'target_level': 3520, 'twist_class_label': '110.2.a.d', 'twist_class_level': 110, 'twisting_char_label': '88.g', 'twisting_char_orbit': 7, 'weight': 2}
  • id: 675415
    {'conductor': 88, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '1210.2.a.r', 'source_level': 1210, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 43, 'target_is_minimal': False, 'target_label': '3520.2.a.bq', 'target_level': 3520, 'twist_class_label': '110.2.a.d', 'twist_class_level': 110, 'twisting_char_label': '88.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 675416
    {'conductor': 220, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '1210.2.a.r', 'source_level': 1210, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 38, 'target_is_minimal': False, 'target_label': '4400.2.a.bl', 'target_level': 4400, 'twist_class_label': '110.2.a.d', 'twist_class_level': 110, 'twisting_char_label': '220.g', 'twisting_char_orbit': 7, 'weight': 2}
  • id: 675417
    {'conductor': 220, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '1210.2.a.r', 'source_level': 1210, 'target_char_orbit': 2, 'target_dim': 4, 'target_hecke_orbit': 16, 'target_is_minimal': False, 'target_label': '4400.2.b.p', 'target_level': 4400, 'twist_class_label': '110.2.a.d', 'twist_class_level': 110, 'twisting_char_label': '220.i', 'twisting_char_orbit': 9, 'weight': 2}
  • id: 675418
    {'conductor': 165, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '1210.2.a.r', 'source_level': 1210, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 49, 'target_is_minimal': False, 'target_label': '4950.2.a.bw', 'target_level': 4950, 'twist_class_label': '110.2.a.d', 'twist_class_level': 110, 'twisting_char_label': '165.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 675419
    {'conductor': 165, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '1210.2.a.r', 'source_level': 1210, 'target_char_orbit': 3, 'target_dim': 4, 'target_hecke_orbit': 29, 'target_is_minimal': False, 'target_label': '4950.2.c.bc', 'target_level': 4950, 'twist_class_label': '110.2.a.d', 'twist_class_level': 110, 'twisting_char_label': '165.l', 'twisting_char_orbit': 12, 'weight': 2}
  • id: 675420
    {'conductor': 77, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '1210.2.a.r', 'source_level': 1210, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 42, 'target_is_minimal': False, 'target_label': '5390.2.a.bp', 'target_level': 5390, 'twist_class_label': '110.2.a.d', 'twist_class_level': 110, 'twisting_char_label': '77.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 675421
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '1210.2.a.r', 'source_level': 1210, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 54, 'target_is_minimal': False, 'target_label': '6050.2.a.cb', 'target_level': 6050, 'twist_class_label': '110.2.a.d', 'twist_class_level': 110, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 675422
    {'conductor': 132, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '1210.2.a.r', 'source_level': 1210, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 43, 'target_is_minimal': False, 'target_label': '7920.2.a.bq', 'target_level': 7920, 'twist_class_label': '110.2.a.d', 'twist_class_level': 110, 'twisting_char_label': '132.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 675423
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 18, 'source_is_minimal': False, 'source_label': '1210.2.a.r', 'source_level': 1210, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 46, 'target_is_minimal': False, 'target_label': '9680.2.a.bt', 'target_level': 9680, 'twist_class_label': '110.2.a.d', 'twist_class_level': 110, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1607925
    {'charpoly_factorization': [[[-1, 1], 2]], 'hecke_orbit_code': 76561193698854074, 'p': 2}
  • id: 1607926
    {'charpoly_factorization': [[[-8, 1, 1], 1]], 'hecke_orbit_code': 76561193698854074, 'p': 3}
  • id: 1607927
    {'charpoly_factorization': [[[-1, 1], 2]], 'hecke_orbit_code': 76561193698854074, 'p': 5}
  • id: 1607928
    {'charpoly_factorization': [[[-8, 1, 1], 1]], 'hecke_orbit_code': 76561193698854074, 'p': 7}
  • id: 1607929
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 76561193698854074, 'p': 11}
  • id: 1607930
    {'charpoly_factorization': [[[2, 1], 2]], 'hecke_orbit_code': 76561193698854074, 'p': 13}
  • id: 1607931
    {'charpoly_factorization': [[[-6, -3, 1], 1]], 'hecke_orbit_code': 76561193698854074, 'p': 17}
  • id: 1607932
    {'charpoly_factorization': [[[4, 7, 1], 1]], 'hecke_orbit_code': 76561193698854074, 'p': 19}
  • id: 1607933
    {'charpoly_factorization': [[[-24, 6, 1], 1]], 'hecke_orbit_code': 76561193698854074, 'p': 23}
  • id: 1607934
    {'charpoly_factorization': [[[-6, -3, 1], 1]], 'hecke_orbit_code': 76561193698854074, 'p': 29}
  • id: 1607935
    {'charpoly_factorization': [[[-8, -1, 1], 1]], 'hecke_orbit_code': 76561193698854074, 'p': 31}
  • id: 1607936
    {'charpoly_factorization': [[[34, -13, 1], 1]], 'hecke_orbit_code': 76561193698854074, 'p': 37}
  • id: 1607937
    {'charpoly_factorization': [[[-132, 0, 1], 1]], 'hecke_orbit_code': 76561193698854074, 'p': 41}
  • id: 1607938
    {'charpoly_factorization': [[[-4, 1], 2]], 'hecke_orbit_code': 76561193698854074, 'p': 43}
  • id: 1607939
    {'charpoly_factorization': [[[-24, 6, 1], 1]], 'hecke_orbit_code': 76561193698854074, 'p': 47}
  • id: 1607940
    {'charpoly_factorization': [[[-54, -9, 1], 1]], 'hecke_orbit_code': 76561193698854074, 'p': 53}
  • id: 1607941
    {'charpoly_factorization': [[[-24, -6, 1], 1]], 'hecke_orbit_code': 76561193698854074, 'p': 59}
  • id: 1607942
    {'charpoly_factorization': [[[-2, -5, 1], 1]], 'hecke_orbit_code': 76561193698854074, 'p': 61}
  • id: 1607943
    {'charpoly_factorization': [[[-8, 1], 2]], 'hecke_orbit_code': 76561193698854074, 'p': 67}
  • id: 1607944
    {'charpoly_factorization': [[[-72, -3, 1], 1]], 'hecke_orbit_code': 76561193698854074, 'p': 71}
  • id: 1607945
    {'charpoly_factorization': [[[-116, -8, 1], 1]], 'hecke_orbit_code': 76561193698854074, 'p': 73}
  • id: 1607946
    {'charpoly_factorization': [[[16, -14, 1], 1]], 'hecke_orbit_code': 76561193698854074, 'p': 79}
  • id: 1607947
    {'charpoly_factorization': [[[-24, 6, 1], 1]], 'hecke_orbit_code': 76561193698854074, 'p': 83}
  • id: 1607948
    {'charpoly_factorization': [[[-6, -3, 1], 1]], 'hecke_orbit_code': 76561193698854074, 'p': 89}
  • id: 1607949
    {'charpoly_factorization': [[[16, 14, 1], 1]], 'hecke_orbit_code': 76561193698854074, 'p': 97}
• mf_newform_portraits •

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

  
  {'char_orbit_index': 1, 'hecke_orbit': 18, 'label': '1210.2.a.r', 'level': 1210, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 62106253
    {'hecke_orbit_code': 76561193698854074, 'n': 1, 'trace_an': 2}
  • id: 62106254
    {'hecke_orbit_code': 76561193698854074, 'n': 2, 'trace_an': 2}
  • id: 62106255
    {'hecke_orbit_code': 76561193698854074, 'n': 3, 'trace_an': -1}
  • id: 62106256
    {'hecke_orbit_code': 76561193698854074, 'n': 4, 'trace_an': 2}
  • id: 62106257
    {'hecke_orbit_code': 76561193698854074, 'n': 5, 'trace_an': 2}
  • id: 62106258
    {'hecke_orbit_code': 76561193698854074, 'n': 6, 'trace_an': -1}
  • id: 62106259
    {'hecke_orbit_code': 76561193698854074, 'n': 7, 'trace_an': -1}
  • id: 62106260
    {'hecke_orbit_code': 76561193698854074, 'n': 8, 'trace_an': 2}
  • id: 62106261
    {'hecke_orbit_code': 76561193698854074, 'n': 9, 'trace_an': 11}
  • id: 62106262
    {'hecke_orbit_code': 76561193698854074, 'n': 10, 'trace_an': 2}
  • id: 62106263
    {'hecke_orbit_code': 76561193698854074, 'n': 11, 'trace_an': 0}
  • id: 62106264
    {'hecke_orbit_code': 76561193698854074, 'n': 12, 'trace_an': -1}
  • id: 62106265
    {'hecke_orbit_code': 76561193698854074, 'n': 13, 'trace_an': -4}
  • id: 62106266
    {'hecke_orbit_code': 76561193698854074, 'n': 14, 'trace_an': -1}
  • id: 62106267
    {'hecke_orbit_code': 76561193698854074, 'n': 15, 'trace_an': -1}
  • id: 62106268
    {'hecke_orbit_code': 76561193698854074, 'n': 16, 'trace_an': 2}
  • id: 62106269
    {'hecke_orbit_code': 76561193698854074, 'n': 17, 'trace_an': 3}
  • id: 62106270
    {'hecke_orbit_code': 76561193698854074, 'n': 18, 'trace_an': 11}
  • id: 62106271
    {'hecke_orbit_code': 76561193698854074, 'n': 19, 'trace_an': -7}
  • id: 62106272
    {'hecke_orbit_code': 76561193698854074, 'n': 20, 'trace_an': 2}
  • id: 62106273
    {'hecke_orbit_code': 76561193698854074, 'n': 21, 'trace_an': 17}
  • id: 62106274
    {'hecke_orbit_code': 76561193698854074, 'n': 22, 'trace_an': 0}
  • id: 62106275
    {'hecke_orbit_code': 76561193698854074, 'n': 23, 'trace_an': -6}
  • id: 62106276
    {'hecke_orbit_code': 76561193698854074, 'n': 24, 'trace_an': -1}
  • id: 62106277
    {'hecke_orbit_code': 76561193698854074, 'n': 25, 'trace_an': 2}
  • id: 62106278
    {'hecke_orbit_code': 76561193698854074, 'n': 26, 'trace_an': -4}
  • id: 62106279
    {'hecke_orbit_code': 76561193698854074, 'n': 27, 'trace_an': -19}
  • id: 62106280
    {'hecke_orbit_code': 76561193698854074, 'n': 28, 'trace_an': -1}
  • id: 62106281
    {'hecke_orbit_code': 76561193698854074, 'n': 29, 'trace_an': 3}
  • id: 62106282
    {'hecke_orbit_code': 76561193698854074, 'n': 30, 'trace_an': -1}
  • id: 62106283
    {'hecke_orbit_code': 76561193698854074, 'n': 31, 'trace_an': 1}
  • id: 62106284
    {'hecke_orbit_code': 76561193698854074, 'n': 32, 'trace_an': 2}
  • id: 62106285
    {'hecke_orbit_code': 76561193698854074, 'n': 33, 'trace_an': 0}
  • id: 62106286
    {'hecke_orbit_code': 76561193698854074, 'n': 34, 'trace_an': 3}
  • id: 62106287
    {'hecke_orbit_code': 76561193698854074, 'n': 35, 'trace_an': -1}
  • id: 62106288
    {'hecke_orbit_code': 76561193698854074, 'n': 36, 'trace_an': 11}
  • id: 62106289
    {'hecke_orbit_code': 76561193698854074, 'n': 37, 'trace_an': 13}
  • id: 62106290
    {'hecke_orbit_code': 76561193698854074, 'n': 38, 'trace_an': -7}
  • id: 62106291
    {'hecke_orbit_code': 76561193698854074, 'n': 39, 'trace_an': 2}
  • id: 62106292
    {'hecke_orbit_code': 76561193698854074, 'n': 40, 'trace_an': 2}
  • id: 62106293
    {'hecke_orbit_code': 76561193698854074, 'n': 41, 'trace_an': 0}
  • id: 62106294
    {'hecke_orbit_code': 76561193698854074, 'n': 42, 'trace_an': 17}
  • id: 62106295
    {'hecke_orbit_code': 76561193698854074, 'n': 43, 'trace_an': 8}
  • id: 62106296
    {'hecke_orbit_code': 76561193698854074, 'n': 44, 'trace_an': 0}
  • id: 62106297
    {'hecke_orbit_code': 76561193698854074, 'n': 45, 'trace_an': 11}
  • id: 62106298
    {'hecke_orbit_code': 76561193698854074, 'n': 46, 'trace_an': -6}
  • id: 62106299
    {'hecke_orbit_code': 76561193698854074, 'n': 47, 'trace_an': -6}
  • id: 62106300
    {'hecke_orbit_code': 76561193698854074, 'n': 48, 'trace_an': -1}
  • id: 62106301
    {'hecke_orbit_code': 76561193698854074, 'n': 49, 'trace_an': 3}
  • id: 62106302
    {'hecke_orbit_code': 76561193698854074, 'n': 50, 'trace_an': 2}
  • id: 62106303
    {'hecke_orbit_code': 76561193698854074, 'n': 51, 'trace_an': 15}
  • id: 62106304
    {'hecke_orbit_code': 76561193698854074, 'n': 52, 'trace_an': -4}
  • id: 62106305
    {'hecke_orbit_code': 76561193698854074, 'n': 53, 'trace_an': 9}
  • id: 62106306
    {'hecke_orbit_code': 76561193698854074, 'n': 54, 'trace_an': -19}
  • id: 62106307
    {'hecke_orbit_code': 76561193698854074, 'n': 55, 'trace_an': 0}
  • id: 62106308
    {'hecke_orbit_code': 76561193698854074, 'n': 56, 'trace_an': -1}
  • id: 62106309
    {'hecke_orbit_code': 76561193698854074, 'n': 57, 'trace_an': -13}
  • id: 62106310
    {'hecke_orbit_code': 76561193698854074, 'n': 58, 'trace_an': 3}
  • id: 62106311
    {'hecke_orbit_code': 76561193698854074, 'n': 59, 'trace_an': 6}
  • id: 62106312
    {'hecke_orbit_code': 76561193698854074, 'n': 60, 'trace_an': -1}
  • id: 62106313
    {'hecke_orbit_code': 76561193698854074, 'n': 61, 'trace_an': 5}
  • id: 62106314
    {'hecke_orbit_code': 76561193698854074, 'n': 62, 'trace_an': 1}
  • id: 62106315
    {'hecke_orbit_code': 76561193698854074, 'n': 63, 'trace_an': -22}
  • id: 62106316
    {'hecke_orbit_code': 76561193698854074, 'n': 64, 'trace_an': 2}
  • id: 62106317
    {'hecke_orbit_code': 76561193698854074, 'n': 65, 'trace_an': -4}
  • id: 62106318
    {'hecke_orbit_code': 76561193698854074, 'n': 66, 'trace_an': 0}
  • id: 62106319
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  • id: 62106332
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  • id: 62106391
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  • id: 62106392
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  • id: 62106393
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  • id: 62106400
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  • id: 62106406
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  • id: 62106408
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  • id: 62106410
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  • id: 62106411
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  • id: 62106412
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  • id: 62106413
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  • id: 62106414
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  • id: 62106415
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  • id: 62106416
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  • id: 62106417
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  • id: 62106418
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  • id: 62106419
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  • id: 62106420
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  • id: 62106421
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  • id: 62106422
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  • id: 62106423
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  • id: 62106424
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  • id: 62106425
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  • id: 62106426
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  • id: 62106427
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  • id: 62106428
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  • id: 62106429
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  • id: 62106430
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  • id: 62106431
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  • id: 62106432
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  • id: 62106433
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  • id: 62106434
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  • id: 62106435
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  • id: 62106436
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  • id: 62106437
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  • id: 62106438
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  • id: 62106439
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  • id: 62106440
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  • id: 62106441
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  • id: 62106442
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  • id: 62106443
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  • id: 62106444
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  • id: 62106445
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  • id: 62106446
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  • id: 62106447
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  • id: 62106448
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  • id: 62106449
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  • id: 62106450
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  • id: 62106451
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  • id: 62106452
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  • id: 62106453
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  • id: 62106454
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  • id: 62106455
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  • id: 62106456
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  • id: 62106457
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  • id: 62106458
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  • id: 62106459
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  • id: 62106460
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  • id: 62106461
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  • id: 62106462
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  • id: 62106463
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  • id: 62106464
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  • id: 62106465
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  • id: 62106466
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  • id: 62106467
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  • id: 62106468
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  • id: 62106469
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  • id: 62106470
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  • id: 62106471
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  • id: 62106472
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  • id: 62106473
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  • id: 62106474
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  • id: 62106475
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  • id: 62106476
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  • id: 62106477
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  • id: 62106478
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  • id: 62106479
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  • id: 62106480
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  • id: 62106481
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  • id: 62106482
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  • id: 62106483
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  • id: 62106484
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  • id: 62106485
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  • id: 62106486
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  • id: 62106487
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  • id: 62106488
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  • id: 62106489
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  • id: 62106491
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  • id: 62106492
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  • id: 62106493
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  • id: 62106494
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  • id: 62106495
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  • id: 62106496
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  • id: 62106497
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  • id: 62106498
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  • id: 62106499
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  • id: 62106500
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  • id: 62106501
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  • id: 62106502
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  • id: 62106503
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  • id: 62106504
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  • id: 62106505
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  • id: 62106506
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  • id: 62106507
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  • id: 62106508
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  • id: 62106509
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  • id: 62106510
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