Newform data - 7406.2.a.p

Formats: - HTML - YAML - JSON - 2026-10-10T22:51:21.153954

• 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': 29624, 'analytic_conductor': 59.13720773696025, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [7, 1], [23, -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': [7406, 1, [2117, 3179], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 5, 'field_disc_factorization': [[5, 1]], 'field_poly': [-1, -1, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': True, 'field_poly_root_of_unity': 10, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[3, [-1, -1, 1]], [5, [-1, -1, 1]], [11, [-9, 3, 1]]], 'hecke_orbit': 16, 'hecke_orbit_code': 67553994444119278, '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': True, 'label': '7406.2.a.p', 'level': 7406, '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, 7, 23], 'level_radical': 322, 'minimal_twist': '7406.2.a.o', 'nf_label': '2.2.5.1', 'prim_orbit_index': 1, 'qexp_display': 'q-q^{2}+\\beta q^{3}+q^{4}+(1-\\beta )q^{5}-\\beta q^{6}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '7406.2.a', 'trace_display': [-2, 1, 1, -2], 'trace_hash': 1510712387683231152, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.093', 'prec': 7}, {'__RealLiteral__': 0, 'data': '1.955', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.553', 'prec': 10}, {'__RealLiteral__': 0, 'data': '9.416', 'prec': 14}, {'__RealLiteral__': 0, 'data': '4.582', 'prec': 14}, {'__RealLiteral__': 0, 'data': '64.270', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.009', 'prec': 4}, 'traces': [2, -2, 1, 2, 1, -1, -2, -2, -3, -1, -3, 1, -7, 2, -2, 2, 2, 3, -6, 1, -1, 3, 0, -1, -7, 7, -2, -2, 2, 2, 2, -2, 6, -2, -1, -3, -6, 6, -1, -1, 7, 1, 2, -3, -4, 0, -3, 1, 2, 7, 11, -7, 6, 2, -9, 2, -13, -2, -18, -2, -2, -2, 3, 2, -6, -6, -4, 2, 0, 1, 7, 3, 12, 6, -6, -6, 3, 1, 6, 1, -2, -7, -5, -1, -9, -2, 16, 3, 2, 4, 7, 0, -19, 3, 7, -1, 18, -2, 12, -7, 22, -11, 7, 7, 2, -6, -3, -2, 37, 9, -3, -2, 16, 13, 0, 2, 13, 18, -2, 2, 5, 2, 11, 2, -6, -3, 6, -2, -9, 6, -6, 6, 6, 4, 9, -2, 2, 0, -33, -1, 11, -7, 18, -3, -14, -12, 1, -6, -20, 6, -31, 6, 7, -3, 21, -1, -24, -6, 18, -1, 0, 2, -16, 7, 3, 5, 0, 1, 1, 9, -1, 2, 12, -16, 7, -3, -4, -2, 10, -4, 34, -7, 14, 0, -3, 19, 27, -3, 2, -7, 51, 1, 14, -18, 7, 2, -7, -12, 18, 7, 28, -22, -2, 11, 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-6, 7, -62, 6, 0, -28, -1, 35, -82, -6, 1, 5, -57, 2, -26, 2, -24, -100, 72, 21, -3, 13, 27, -23, -23, 33, 11, 0, -21, -73, -24, 5, 85, 63, 29, -1, 70, -66, 176, 10, 35, -33, -54, -9, 23, -11, 97, 2, 23, -14, 0, -13, -51, -57, -11, -1, -18, 58, 106, 40, 6, 57, -35, 11, -120, -39, -72, 62, -37, 11, -11, -11, 69, 0, 76, 21, -30, 44, -78, 2, 5, 1, 4, -7, -37, -9, -81, 0, -48, 44, -6, -60, 39, -6, -53, -6, 0, 18, 17, -10, 35, -2, -22, 9, 7, -4, 14, -40, -6, 78, -86, -3, -79, 30, -40, 21, -53, 71, -8, 0, 22, -32, -13, -17, -58, -14, 19, 6, 79, 34, 27, 38, -19, -70, -53, 2, 104, -25, 36, -12, 55, -6, 0, -2, 38, 32, -12, 46, 47, 31, -2, -36, -85, 1, 82, -4, -31, -25, 32, -9, 14, -43, -48, 42, -4, 0, -101, -6, 10, -58, 15, 26, -244, -64, 27, 6, -14, -45, -36, 22, 33, -20, -92, -12, 69, 3, 61, 30, 0, 8, 11, -6, -53, -34, 6, 6, -84, 35, 25, 15, -2, 8, 2, -78, 39, -13, 114, 6, 83, -31, 31, 0, 102, -49, 51, 12, -1, 52, 99, 32, 74, 38, -49, 6, 18, 7, -7, -17, 34, -3, 16, -21, -18, -24, 0, 16, -4, 7, 77, 4, -18, 6, -8, -30, 18, -3, 65, 0, -57, -9, -25, -3, 31, -20, -114, 9, 21, 0, -11, -73, -11, -70, -117, 11, -27, 21, -10, 7, 66, 45, -66, -2, 14, 30, -97, 21, -84, -58, 54, -1, 0, 36, 83, 21, -27, 12, -33, 2, -19, -20, -33, 18, 70, -24, 65, -3, -93, -60, 61, -66, -4, 7, 0, 0, -27, -34, -12, -6, 118, 37, 1, 29, -45, 10, -5, 6, 48, 63, 11, -33, -27, 18, 74, -11, -29, -24, 0, 23, -42, -18, 20, -17, -99, 12, -22, -1, -5, -34, 18, 6, -31, -92, 19, -35, -22, -29, 54, 13, -66, 0, -9, 11, 6, 84, 16, 18, 46, 46, -108, -30, 31, -12, 16, 2, -1, 32, 5, -7, -44, -61, -22, 17, 0, -116, -54, -6, 99, -16, -25, 53, 23, 39, -74, 18, -16, -12, -54, 23, -42, 6, -1, 7, 117, 44, 75, 0, -6, 13, -3, -3, -20, -13, 35, -21, -15, 3, 36, -8, -64, -13, -15, 47, -8, 54, 28, -14, -39, -38, 0, 5, 74, -52, -70, -19, 62, -26, -9, 36, 15, 55, -9, -12, -83, 0, 74, 19, 0, 72, 21, -12, 32, 0, -107, -18, -92, 2, 50, 1, -129, 48, 24, 74, -116, -29, 12, 14, -47, 54, -63, -46, -39, 1, 15, -6, 0, 6, 150, -58, 2, 45, -62, 27, -131, -52, -44, 9, 95, -15, -88, -20, 18, 51, 63, 9, 58, 30, 77, 0, 73, -1, 25, -30, 21, 63, 53, 6, 2, 58, -82, -6, 18, 45, 10, 2, 36, -4, 147, 36, 102, -57, 0, -31, -4, -59, -48, 25, 5, 12, 2, -1, -73, -37, 84, -48, 20, 25, -102, 6, 74, -83, -42, -16, 36, 0, 29, 16, 118, 18, -39, 23, 16, 33, -29, 7, 86, 7, 37, -13, -72, 10, -5, 18, 3, 11, -112, -7, 0, -37, 62, -3, 6, -12, -3, -12, 35, 22, -28, -11, 16, -11, -27, -22, 24, -4, 12, 21, 97, -72, -181, 0, 9, 54, -14, 14, -62, -5, 66, -2, 41, 58, -20, -1, 96, 0, 11, 12, 38, -42, 109, -33, 0, 10, 0, -18, -9, 7, 118, -24, -18, -1, 20, -6, 22, -10, -36, -4, 139, 53, 47, 14, -67, 22, -20, -6, -60, 0, -41, 18, 40, 34, -1, -5, -38, 47, -35, 33, 20, 53, -81, 18, 59, 108, -70, -7, -79, 46, -105, -42, 0, 33, 9, 2, -22, -12, -8, -1, -18, 14, -78, 4, -17, 38, -41, 19, -10, -28, 22, -61, -25, 57, -32, 0, 40, -80, -28, -2, 122, -6, 3, 46, 51, -55, -63, 25, -38, -3, 20, 2, 33, 41, -12, 42, 6, 1, 0, -22, 8, 17, -66, 19, -49, 44, 18, -16, 130, -26, 9, 48, -88, 19, 15, -16, 70, 27, -58, -23, -23, 0, -62, 7, -17, 87, -21, -3, 90, 0, -77, -3, 38, -62, -29, 3, -33, -115, -8, 3, 129, -43, -80, -6, 0, 2, -9, -8, -9, 36, -12, -31, -12, -22, 46, 5, -4, -31, 170, -7, 50, 42, -47, -9, 9, -82, 27, 0, 56, 2, 5, 0, 75, 51, 28, -26, 49, 17, -43, 32, 43, -45, 72, 48, -10, 34, -52, 1, 63, 5, 0, 10, 47, 1, -9, 12, -64, 71, -2, 17, -36, 14, 78, 1, -49, -21, -4, 48, 13, 18, -12, 2, 144, 0, -34, -18, 66, -44, -45, 9, -94, 8, 20, 28, -127, -72, 18, 63, 101, 7, 76, 31, 48, 4, 8, -1, 0, 56, -15, -14, -99, -28, -106, 2, 34, -58, 76, 7, -42, -69, -17, 2, -21, 62, 22, -6, 1, -7, -158, 0, 21, -57, 67, 10, -13, 40, -76, 12, -41, 12, -36, -12, 52, 96, 18, 20, -92, -35, -20, -9, -37, 7, 0, -16, 47, 18, -58, 37, -66, 44, -40, -39, -13, 99, -46, 1, -11, -24, -9, 7, -134, -31, 64, -30, -27, 0, 10, 3, 2, -25, 118, 18, 78, 28, -16, -3, -67, -77, 74, 3, 27, -5, -3, -28, -46, -56, -84, -22, 0, -40, 0, -4, 73, 132, -14, 37, 0, -6, -40, 9, -106, -2, 14, -19, 76, 3, -51, -2, -9, -58, 79, 0, 30, 24, 24, 11, -101, -27, -1, 39, -21, 66, -45, 10, -51, 123, 78, -5, 103, -4, -78, -18, -69, 20, 0, 62, -16, -6, -32, -4, -124, -69, 10, -7, -48, -3, 29, -20, 73, 16, -18, 19, 0, -97, -14, 34, 76, 0, -18, -22, 69, 12, 74, 20, 5, 19, 29, -28, -32, 18, 62, -7, 43, 103, 18, 21, -28, 30, 24, 9, 0, -33, -18, -38, -33, -21, -109, 14, -38, -21, 47, 0, -12, -19, 21, -10, 6, 66, 3, -2, 92, 60, -27, 0, -13, -45, 24, 96, -31, -58, 44, 3, -60, 31, 7, -80, -119, -56, 15, -3, -17, -79, 20, 33, -59, -48, 0, 6, 41, 21, 126, 22, -47, 37, 17, 19, -69, -46, -17, -25, 54, 16, -8, 9, -18, 22, 52, 10, -2, 0, -67, 27, 87, 40, -75, 3, 6, -9, 78, -17], '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, -1], [0, -1], [-1, 0], [-1, 0], [-2, 1], [-1, 1], [-3, 3], [0, 1], [-4, 1], [1, 0], [-1, 0], [1, 0], [-1, 4], [2, -1], [-1, -4], [1, -1], [0, -1], [3, -3], [0, 0], [0, -1], [-3, -1], [4, -1], [1, -4], [-1, 0], [-2, 6], [1, 0], [5, -8], [-1, 0], [3, 0], [1, -4], [-1, 1], [-2, 1], [-3, 0], [1, 4], [1, -3], [-1, 1], [2, 3], [0, 1], [3, -4], [-3, 3], [-3, 2], [0, 0], [-4, 5], [0, 1], [1, 0], [3, 1], [4, 3], [-4, 1], [0, 6], [-1, 4], [-6, 3], [1, 0], [-4, -5], [2, -6], [-10, 2], [-1, 0], [-4, 6], [-5, 8], [2, -1], [1, 0], [-5, 4], [-3, 0], [-8, 12], [-1, 4], [0, 0], [1, -1], [1, 5], [2, -1], [3, 6], [3, 0], [-1, -4], [-1, -4], [3, -3], [-1, 3], [5, -4], [1, -1], [2, -6], [-2, -3], [-3, 1], [0, -1], [-5, 1], [-3, 4], [6, 4], [3, -3], [-3, 8], [3, -2], [4, -1], [0, 0], [-8, -3], [4, -5], [3, 1], [0, -1], [7, 4], [-1, 0], [9, -6], [-3, -1]], 'ap': [[-1, 0], [0, 1], [1, -1], [-1, 0], [-3, 3], [-4, 1], [-1, 4], [-1, -4], [0, 0], [-2, 6], [5, -8], [-3, 0], [2, 3], [3, -4], [-4, 5], [0, 6], [-10, 2], [-4, 6], [-8, 12], [1, 5], [3, 6], [5, -4], [-3, 1], [-3, 8], [7, 4], [13, -4], [2, 3], [2, -7], [19, -1], [10, -4], [9, -12], [-7, 8], [-2, 6], [-15, -3], [-13, 6], [-15, -1], [-16, 8], [-7, -2], [2, -4], [2, 8], [12, -14], [19, -4], [26, -1], [-1, 16], [5, -17], [9, 0], [15, 1], [4, -10], [-8, 12], [10, -1], [16, -5], [-20, 5], [10, 3], [-5, 1], [20, -4], [-6, -3], [-1, 2], [-8, 5], [-14, -1], [19, -3], [20, -10], [9, -6], [-17, 16], [-1, -12], [20, -7], [-5, 15], [5, -2], [7, -26], [-21, 22], [25, -11], [7, 14], [9, 0], [-6, 22], [-3, -3], [-5, 22], [-17, -9], [-1, -18], [9, 2], [3, -16], [29, -13], [7, -2], [-10, -4], [7, 16], [-7, 2], [5, 19], [13, 6], [-19, 6], [25, 1], [-28, -4], [5, 10], [7, 8], [7, -9], [-12, 15], [15, 10], [-28, -4], [-12, -16], [27, -16], [-1, 24], [15, 0], [-39, 5], [10, 1], [5, -21], [2, 9], [22, -27], [26, 1], [-18, 15], [-3, -12], [-35, 12], [-27, 24], [-8, 10], [-19, -10], [10, -33], [8, -28], [-3, -16], [15, -16], [-12, 28], [-32, 3], [1, 23], [31, -14], [-12, 27], [12, -30], [14, -18], [25, -2], [11, 9], [4, 2], [-23, 16], [32, -27], [31, 0], [0, -28], [-13, 26], [-39, -2], [19, -16], [18, -28], [20, -5], [17, -14], [23, 4], [-32, 20], [13, -20], [11, 22], [-15, 33], [-31, 35], [11, 17], [-10, 15], [-29, 42], [34, -16], [-8, 10], [-35, 9], [-26, 16], [-11, 17], [-20, -6], [1, -26], [-23, -19], [-27, 6], [47, 1], [-1, -31], [33, 5], [31, -10], [-49, -3], [-14, 44], [-18, 5], [2, -36], [-4, 1], [30, 13], [31, 4], [-1, 16], [-28, -1], [-17, -10], [-13, -18], [-9, -12], [2, 28], [25, 20], [35, -45], [5, 15], [27, -11], [46, -28], [8, 18], [-11, -13], [-35, 18], [-27, 16], [21, -18], [-23, 1], [19, 20], [-4, -28], [-9, 38], [0, -7], [-31, 52], [-3, 24], [55, -18], [-34, -16], [-5, -3], [-16, 45], [31, -10], [-41, 10], [-18, -18], [-26, 7], [-33, 15], [-18, -22], [3, 31], [49, -15], [4, -41], [2, -15], [13, 11], [31, -51], [10, -20], [30, -50], [-6, -21], [7, -2], [-16, -6], [39, 2], [-6, 18], [-38, 35], [-4, -9], [-30, 16], [-10, 1], [53, 9], [23, -3], [11, 0], [-16, 24], [-1, -2], [44, -30], [16, 25], [35, -46], [29, 19], [-21, 39], [-27, 30], [24, -21], [-66, 9], [-3, 12], [54, -11], [-5, -2], [-4, -11], [-9, -12], [-38, 16], [30, 19], [27, -6], [-4, -29], [30, -14], [-14, 6], [-24, 57], [41, -18], [-60, 27], [39, 4], [-41, 15], [9, 10], [56, -24], [-51, -8], [-17, -7], [-31, 21], [-13, 44], [-63, 12], [-23, 42], [28, -30], [-63, -5], [-35, 9], [14, -25], [-8, -36], [-3, -10], [-31, 4], [-67, 13], [41, -47], [-16, 0], [23, -41], [-1, -31], [-13, -31], [-57, 16], [-43, -4], [-45, 0], [-19, 5], [8, 34], [52, 9], [42, -30], [26, -31], [-14, -9], [-34, 43], [-9, -23], [70, -9], [-9, -8], [23, -22], [1, 4], [-32, 54], [39, -40], [19, -12], [-23, 8], [46, -56], [55, 2], [23, 19], [-63, 33], [4, 3], [-38, 23], [17, -18], [41, -10], [-31, 0], [-41, 0], [18, -25], [-5, -11], [0, 23], [49, -1], [-15, -7], [50, -24], [-17, 38], [-40, 32], [37, -35], [-17, -19], [-5, 27], [14, -14], [-36, -7], [-4, -5], [-14, -30], [-49, 45], [2, 43], [29, -26], [26, -56], [-12, 10], [-2, -32], [-45, -2], [17, 35], [-20, 46], [48, 18], [51, -19], [35, -52], [2, -11], [-10, 2], [-40, 76], [61, -45], [-49, 41], [-3, 27], [-35, -27], [32, -3], [26, -52], [61, -4], [23, 2], [-30, -39], [1, -24], [-2, 22], [14, 26], [-24, 64], [-3, 5], [-4, -36], [67, -35], [-41, 8], [-3, -36], [60, -3], [-17, 19], [7, 22], [27, -39], [31, 12], [-14, 28], [-53, -1], [52, -54], [-73, 30], [75, 0], [-65, -1], [45, 5], [-32, -24], [28, 2], [54, -35], [56, -59], [74, -1], [-1, -2], [-20, 42], [7, 22], [65, -12], [-14, -1], [-58, 4], [-2, 1], [34, -52], [-6, 36], [56, -3], [78, -17], [-18, -5], [-7, -21], [-30, -21], [-42, 5], [-53, 1], [-12, 2], [-18, 8], [26, -32], [0, 33], [61, 8], [41, -12], [-48, 73], [-5, 48], [-38, 67], [4, -12], [78, 14], [-40, 33], [21, -37], [31, -13], [65, -58], [-16, -20], [42, -21], [0, 47], [-16, 30], [24, -52], [-27, 42], [72, 0], [-23, 1], [52, -3], [38, 0], [-45, -9], [10, -62], [21, -63], [-15, -46], [-26, -40], [-24, -18], [0, -40], [-34, 57], [-70, 6], [20, 24], [63, -52], [36, 1], [-32, 64], [-3, 20], [35, 9], [-48, -5], [-26, 31], [-20, 8], [-14, 57], [40, -4], [61, -48], [6, -44], [-13, -2], [-58, 7], [32, -61], [-45, 30], [-40, -39], [-19, 58], [49, -57], [53, 20], [32, 14]], 'char_orbit_index': 1, 'field_poly': [-1, -1, 1], 'hecke_orbit_code': 67553994444119278, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 2, 'label': '7406.2.a.p', 'level': 7406, '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': [28, 36, 38, 25, 32, 30, 22, 41], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [11, 12, 12, 12, 12, 12, 12, 12], 'ALdims_old': [93, 106, 106, 97, 100, 102, 110, 91], 'Nk2': 29624, 'analytic_conductor': 59.13720773696025, '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': [7406, 1, [2117, 3179], [1, 1]], 'conrey_index': 1, 'cusp_dim': 1057, 'dim': 252, 'eis_dim': 95, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 5, 11], 'hecke_orbit_code': 33561838, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 6, 6, 6, 6, 8, 8, 10, 10, 12, 12, 20, 20, 20, 20], 'label': '7406.2.a', 'level': 7406, '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, 7, 23], 'level_radical': 322, 'mf_dim': 1152, 'mf_new_dim': 252, 'num_forms': 48, 'plus_dim': 105, 'prim_orbit_index': 1, 'relative_dim': 252, 'sturm_bound': 2208, 'trace_bound': 7, 'trace_display': [-2, 2, 2, 0], 'traces': [252, -2, 2, 252, 2, -2, 0, -2, 248, -6, 0, 2, 6, 2, 16, 252, 4, -6, 6, 2, -2, 0, 0, -2, 272, -2, 20, 0, 4, 0, 20, -2, 0, -8, 2, 248, 8, -6, 32, -6, 12, 2, 0, 0, -6, 0, 12, 2, 252, -2, -20, 6, 12, -20, 16, 2, 4, 8, 6, 16, -22, 20, 12, 252, -36, 16, 4, 4, 0, 2, 32, -6, 8, 12, 14, 6, -12, 16, 24, 2, 272, -16, -10, -2, -44, -16, -36, 0, 0, 34, -6, 0, -32, -20, 16, -2, 4, -2, 0, 272, -14, 20, 36, -2, -16, -8, 4, 20, 0, 32, 52, 0, -44, 12, 0, 4, -2, 26, -12, 0, 268, 34, -12, 20, -60, -2, 48, -2, -16, -4, -50, 0, 14, 28, 16, -8, -24, 0, 10, 2, -56, -8, -24, 248, 12, 20, 2, 8, 12, 50, 56, -6, -36, -12, -8, 32, 6, 24, -36, -6, 0, 42, 44, 12, 16, -38, 68, 2, 256, 4, 22, 0, -34, 36, 20, 0, 12, -36, -56, -6, -18, 2, 32, 0, 12, 32, -16, 12, 4, -16, -56, 2, 4, -8, -32, 252, -8, 32, -4, -2, -40, -46, -28, -20, 36, -36, 0, 6, 32, 16, -48, 12, -8, 28, 96, -20, 28, 52, 12, 16, 28, 12, 72, 2, 380, -32, -2, 4, 22, 0, -8, 8, 0, 22, 24, 6, 144, 16, 8, 16, 20, -26, -18, -22, 2, -44, 96, 20, -44, -60, 50, 12, 0, -24, 80, 252, 88, -16, 12, -36, -4, -54, -112, 16, -20, -6, 4, 4, -2, 16, 96, 4, 0, 12, 48, 0, -16, 46, 76, 2, 40, 64, -34, 32, 120, -56, -4, -6, 180, 12, -52, 8, -78, -2, 48, 12, 128, 24, 0, 14, -4, 16, -8, 6, 60, -64, 38, -12, 56, -8, 24, 16, 60, -74, 18, 24, 32, -60, 64, 2, -72, 0, 28, 272, 66, 12, -44, -16, -28, 16, 60, -10, -16, 60, 56, -2, 60, 14, 60, -44, 24, -54, 0, -16, 0, -42, 20, -36, 126, -6, 96, 0, 24, -36, 64, 0, 60, 8, 56, 34, 376, 30, -198, -6, 100, -80, 24, 0, 140, 44, -32, -32, 28, 88, 48, -20, -20, 44, 56, 16, 128, -8, -12, -2, 24, -8, -48, 4, 88, 0, 0, -2, -36, -44, -24, 0, -10, 36, 4, 272, 116, -40, 56, -14, -14, -8, -48, 20, -76, 52, -44, 36, 34, 0, 88, -2, 92, 16, 34, -16, -20, 16, 60, -8, -12, -32, -6, 4, 32, 88, -80, 20, -20, 12, -144, 0, 0, 60, 48, 32, 248, -84, -24, 52, 36, 96, -196, 0, 112, 34, 64, -44, -120, -14, 68, 12, -12, -74, -168, 0, -2, 0, 48, 4, -64, -20, 14, -2, 24, 56, 136, 26, 64, 0, -158, -12, 20, 120, 44, 0, -44, -24, 0, 268, 92, -102, 80, 34, 64, -6, 56, -12, -64, -16, 80, 20, -8, -4, -56, -60, 40, -34, -72, -2, -20, 0, 46, 48, 54, 176, 0, -2, -104, 12, 32, -16, -104, -24, 32, -4, -36, 24, -50, -50, -38, 0, 24, 0, 0, -508, -42, 14, -540, 92, -8, 28, 104, -466, 0, 16, 88, 72, -40, -8, -308, 48, 132, -24, -94, 16, 172, 0, 16, -452, 16, 10, -12, 124, 216, 2, 160, 28, -94, -56, -612, -30, 36, -8, 68, 152, -96, -24, 176, 40, 0, 248, 144, -366, -52, 12, 22, -108, 64, 20, -52, -6, -6, 2, 48, 32, -4, 8, -344, 96, 12, 12, 104, 0, 80, 50, 96, 12, 4, 56, 90, 64, -8, -6, 44, -452, -48, -36, -40, 74, -192, -12, -68, 72, 6, -8, 0, -24, -8, 32, 256, 112, 96, 6, -400, 2, 64, 24, -8, 108, 0, -36, 6, 128, 264, -6, -76, 8, -190, 0, 112, -4, 84, 42, 0, -462, -24, 44, 36, -84, 16, 12, 312, 20, 64, 16, 82, -68, 16, -38, 8, 116, 0, 68, 128, 16, 256, 2, -432, 8, 60, 256, 54, 36, 28, 4, 4, 104, 184, 22, -68, 2, -24, 0, 68, 0, 30, -34, -76, -20, -208, 36, 64, -578, 84, 20, 136, 120, 140, 0, 32, 28, -18, 12, -24, 64, 40, -36, 0, 4, 0, -56, 120, -40, 172, -6, -20, 58, 60, -18, -316, -58, -76, 2, 260, -44, -48, 32, 42, 72, 16, 0, 192, -24, 28, 12, 16, -12, -96, 32, 12, -88, -74, -16, -48, 112, 40, 12, -68, -452, 48, 4, -216, -8, 0, -16, 116, 200, -12, -56, 204, 92, 8, 2, -180, 40, 252, 4, 2, -96, 52, -8, 84, 44, 52, -32, -112, 0, 32, 252, -548, -20, -50, -8, -192, 24, 28, 32, 44, 150, 264, -4, 134, -68, -56, -2, 248, 0, -112, -40, 0, 8, 216, -46, 148, 26, 62, -28, 96, 48, -40, -20, -96, -448, -14, 36, 16, -212, 56, -36, -64, -18, 132, 0, 10, 8, 68, 6, 4, -76, -168, 32, 120, 30, -60, 16, 148, -40, -140, -48, 206, -124, -48, 12, -76, -96, 0, -8, -474, 18, 88, 28, -156, 32, 162, 96, 84, 64, 40, -20, -132, 16, 390, 28, 168, -112, 40, 52, -132, 0, 60, 12, -12, -32, 240, 16, 152, -6, -8, 28, 64, -56, 116, 12, -16, -612, 224, 72, 32, 36, 72, 2, 0, 60, 48, 380, -72, -64, 40, -32, 44, 56, -52, -2, 122, -12, -72, 4, 72, 0, 120, 22, 2, 72, 224, 0, 116, -18, 272, -8, 112, 32, 4, 8, -436, -80, 6, 0, 24, -78, 64, 22, -232, 16, -100, 24, 82, -24, 0, 6, 0, 128, -44, 144, 92, -34, 108, 16, 80, -64, -40, 8, 288, -28, -8, 16, 444, -188, 244, 20, -188, 0, 0, -26, 440, -380, 22, -18, -2, -8, 72, -22, -24, 64, 256, 2, 72, 72, 36, -44, -36, -8, -56, 96, 0, 112, 128, 20, 312, -56, 296, -44, 26, 88, 232, -60], '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: 1347825
    {'conductor': 23, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 16, 'source_is_minimal': True, 'source_label': '7406.2.a.p', 'source_level': 7406, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 15, 'target_is_minimal': True, 'target_label': '7406.2.a.o', 'target_level': 7406, 'twist_class_label': '7406.2.a.o', 'twist_class_level': 7406, 'twisting_char_label': '23.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1347826
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 16, 'source_is_minimal': True, 'source_label': '7406.2.a.p', 'source_level': 7406, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 16, 'target_is_minimal': True, 'target_label': '7406.2.a.p', 'target_level': 7406, 'twist_class_label': '7406.2.a.o', 'twist_class_level': 7406, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 4448475
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 67553994444119278, 'p': 2}
  • id: 4448476
    {'charpoly_factorization': [[[-1, -1, 1], 1]], 'hecke_orbit_code': 67553994444119278, 'p': 3}
  • id: 4448477
    {'charpoly_factorization': [[[-1, -1, 1], 1]], 'hecke_orbit_code': 67553994444119278, 'p': 5}
  • id: 4448478
    {'charpoly_factorization': [[[1, 1], 2]], 'hecke_orbit_code': 67553994444119278, 'p': 7}
  • id: 4448479
    {'charpoly_factorization': [[[-9, 3, 1], 1]], 'hecke_orbit_code': 67553994444119278, 'p': 11}
  • id: 4448480
    {'charpoly_factorization': [[[11, 7, 1], 1]], 'hecke_orbit_code': 67553994444119278, 'p': 13}
  • id: 4448481
    {'charpoly_factorization': [[[-19, -2, 1], 1]], 'hecke_orbit_code': 67553994444119278, 'p': 17}
  • id: 4448482
    {'charpoly_factorization': [[[-11, 6, 1], 1]], 'hecke_orbit_code': 67553994444119278, 'p': 19}
  • id: 4448483
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 67553994444119278, 'p': 23}
  • id: 4448484
    {'charpoly_factorization': [[[-44, -2, 1], 1]], 'hecke_orbit_code': 67553994444119278, 'p': 29}
  • id: 4448485
    {'charpoly_factorization': [[[-79, -2, 1], 1]], 'hecke_orbit_code': 67553994444119278, 'p': 31}
  • id: 4448486
    {'charpoly_factorization': [[[3, 1], 2]], 'hecke_orbit_code': 67553994444119278, 'p': 37}
  • id: 4448487
    {'charpoly_factorization': [[[1, -7, 1], 1]], 'hecke_orbit_code': 67553994444119278, 'p': 41}
  • id: 4448488
    {'charpoly_factorization': [[[-19, -2, 1], 1]], 'hecke_orbit_code': 67553994444119278, 'p': 43}
  • id: 4448489
    {'charpoly_factorization': [[[-29, 3, 1], 1]], 'hecke_orbit_code': 67553994444119278, 'p': 47}
  • id: 4448490
    {'charpoly_factorization': [[[-36, -6, 1], 1]], 'hecke_orbit_code': 67553994444119278, 'p': 53}
  • id: 4448491
    {'charpoly_factorization': [[[76, 18, 1], 1]], 'hecke_orbit_code': 67553994444119278, 'p': 59}
  • id: 4448492
    {'charpoly_factorization': [[[-44, 2, 1], 1]], 'hecke_orbit_code': 67553994444119278, 'p': 61}
  • id: 4448493
    {'charpoly_factorization': [[[-176, 4, 1], 1]], 'hecke_orbit_code': 67553994444119278, 'p': 67}
  • id: 4448494
    {'charpoly_factorization': [[[-19, -7, 1], 1]], 'hecke_orbit_code': 67553994444119278, 'p': 71}
  • id: 4448495
    {'charpoly_factorization': [[[-9, -12, 1], 1]], 'hecke_orbit_code': 67553994444119278, 'p': 73}
  • id: 4448496
    {'charpoly_factorization': [[[-11, -6, 1], 1]], 'hecke_orbit_code': 67553994444119278, 'p': 79}
  • id: 4448497
    {'charpoly_factorization': [[[5, 5, 1], 1]], 'hecke_orbit_code': 67553994444119278, 'p': 83}
  • id: 4448498
    {'charpoly_factorization': [[[-79, -2, 1], 1]], 'hecke_orbit_code': 67553994444119278, 'p': 89}
  • id: 4448499
    {'charpoly_factorization': [[[61, -18, 1], 1]], 'hecke_orbit_code': 67553994444119278, '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': 16, 'label': '7406.2.a.p', 'level': 7406, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  Showing the first 100 of 258 matching records in this table.
  • id: 60819091
    {'hecke_orbit_code': 67553994444119278, 'n': 1, 'trace_an': 2}
  • id: 60819092
    {'hecke_orbit_code': 67553994444119278, 'n': 2, 'trace_an': -2}
  • id: 60819093
    {'hecke_orbit_code': 67553994444119278, 'n': 3, 'trace_an': 1}
  • id: 60819094
    {'hecke_orbit_code': 67553994444119278, 'n': 4, 'trace_an': 2}
  • id: 60819095
    {'hecke_orbit_code': 67553994444119278, 'n': 5, 'trace_an': 1}
  • id: 60819096
    {'hecke_orbit_code': 67553994444119278, 'n': 6, 'trace_an': -1}
  • id: 60819097
    {'hecke_orbit_code': 67553994444119278, 'n': 7, 'trace_an': -2}
  • id: 60819098
    {'hecke_orbit_code': 67553994444119278, 'n': 8, 'trace_an': -2}
  • id: 60819099
    {'hecke_orbit_code': 67553994444119278, 'n': 9, 'trace_an': -3}
  • id: 60819100
    {'hecke_orbit_code': 67553994444119278, 'n': 10, 'trace_an': -1}
  • id: 60819101
    {'hecke_orbit_code': 67553994444119278, 'n': 11, 'trace_an': -3}
  • id: 60819102
    {'hecke_orbit_code': 67553994444119278, 'n': 12, 'trace_an': 1}
  • id: 60819103
    {'hecke_orbit_code': 67553994444119278, 'n': 13, 'trace_an': -7}
  • id: 60819104
    {'hecke_orbit_code': 67553994444119278, 'n': 14, 'trace_an': 2}
  • id: 60819105
    {'hecke_orbit_code': 67553994444119278, 'n': 15, 'trace_an': -2}
  • id: 60819106
    {'hecke_orbit_code': 67553994444119278, 'n': 16, 'trace_an': 2}
  • id: 60819107
    {'hecke_orbit_code': 67553994444119278, 'n': 17, 'trace_an': 2}
  • id: 60819108
    {'hecke_orbit_code': 67553994444119278, 'n': 18, 'trace_an': 3}
  • id: 60819109
    {'hecke_orbit_code': 67553994444119278, 'n': 19, 'trace_an': -6}
  • id: 60819110
    {'hecke_orbit_code': 67553994444119278, 'n': 20, 'trace_an': 1}
  • id: 60819111
    {'hecke_orbit_code': 67553994444119278, 'n': 21, 'trace_an': -1}
  • id: 60819112
    {'hecke_orbit_code': 67553994444119278, 'n': 22, 'trace_an': 3}
  • id: 60819113
    {'hecke_orbit_code': 67553994444119278, 'n': 23, 'trace_an': 0}
  • id: 60819114
    {'hecke_orbit_code': 67553994444119278, 'n': 24, 'trace_an': -1}
  • id: 60819115
    {'hecke_orbit_code': 67553994444119278, 'n': 25, 'trace_an': -7}
  • id: 60819116
    {'hecke_orbit_code': 67553994444119278, 'n': 26, 'trace_an': 7}
  • id: 60819117
    {'hecke_orbit_code': 67553994444119278, 'n': 27, 'trace_an': -2}
  • id: 60819118
    {'hecke_orbit_code': 67553994444119278, 'n': 28, 'trace_an': -2}
  • id: 60819119
    {'hecke_orbit_code': 67553994444119278, 'n': 29, 'trace_an': 2}
  • id: 60819120
    {'hecke_orbit_code': 67553994444119278, 'n': 30, 'trace_an': 2}
  • id: 60819121
    {'hecke_orbit_code': 67553994444119278, 'n': 31, 'trace_an': 2}
  • id: 60819122
    {'hecke_orbit_code': 67553994444119278, 'n': 32, 'trace_an': -2}
  • id: 60819123
    {'hecke_orbit_code': 67553994444119278, 'n': 33, 'trace_an': 6}
  • id: 60819124
    {'hecke_orbit_code': 67553994444119278, 'n': 34, 'trace_an': -2}
  • id: 60819125
    {'hecke_orbit_code': 67553994444119278, 'n': 35, 'trace_an': -1}
  • id: 60819126
    {'hecke_orbit_code': 67553994444119278, 'n': 36, 'trace_an': -3}
  • id: 60819127
    {'hecke_orbit_code': 67553994444119278, 'n': 37, 'trace_an': -6}
  • id: 60819128
    {'hecke_orbit_code': 67553994444119278, 'n': 38, 'trace_an': 6}
  • id: 60819129
    {'hecke_orbit_code': 67553994444119278, 'n': 39, 'trace_an': -1}
  • id: 60819130
    {'hecke_orbit_code': 67553994444119278, 'n': 40, 'trace_an': -1}
  • id: 60819131
    {'hecke_orbit_code': 67553994444119278, 'n': 41, 'trace_an': 7}
  • id: 60819132
    {'hecke_orbit_code': 67553994444119278, 'n': 42, 'trace_an': 1}
  • id: 60819133
    {'hecke_orbit_code': 67553994444119278, 'n': 43, 'trace_an': 2}
  • id: 60819134
    {'hecke_orbit_code': 67553994444119278, 'n': 44, 'trace_an': -3}
  • id: 60819135
    {'hecke_orbit_code': 67553994444119278, 'n': 45, 'trace_an': -4}
  • id: 60819136
    {'hecke_orbit_code': 67553994444119278, 'n': 46, 'trace_an': 0}
  • id: 60819137
    {'hecke_orbit_code': 67553994444119278, 'n': 47, 'trace_an': -3}
  • id: 60819138
    {'hecke_orbit_code': 67553994444119278, 'n': 48, 'trace_an': 1}
  • id: 60819139
    {'hecke_orbit_code': 67553994444119278, 'n': 49, 'trace_an': 2}
  • id: 60819140
    {'hecke_orbit_code': 67553994444119278, 'n': 50, 'trace_an': 7}
  • id: 60819141
    {'hecke_orbit_code': 67553994444119278, 'n': 51, 'trace_an': 11}
  • id: 60819142
    {'hecke_orbit_code': 67553994444119278, 'n': 52, 'trace_an': -7}
  • id: 60819143
    {'hecke_orbit_code': 67553994444119278, 'n': 53, 'trace_an': 6}
  • id: 60819144
    {'hecke_orbit_code': 67553994444119278, 'n': 54, 'trace_an': 2}
  • id: 60819145
    {'hecke_orbit_code': 67553994444119278, 'n': 55, 'trace_an': -9}
  • id: 60819146
    {'hecke_orbit_code': 67553994444119278, 'n': 56, 'trace_an': 2}
  • id: 60819147
    {'hecke_orbit_code': 67553994444119278, 'n': 57, 'trace_an': -13}
  • id: 60819148
    {'hecke_orbit_code': 67553994444119278, 'n': 58, 'trace_an': -2}
  • id: 60819149
    {'hecke_orbit_code': 67553994444119278, 'n': 59, 'trace_an': -18}
  • id: 60819150
    {'hecke_orbit_code': 67553994444119278, 'n': 60, 'trace_an': -2}
  • id: 60819151
    {'hecke_orbit_code': 67553994444119278, 'n': 61, 'trace_an': -2}
  • id: 60819152
    {'hecke_orbit_code': 67553994444119278, 'n': 62, 'trace_an': -2}
  • id: 60819153
    {'hecke_orbit_code': 67553994444119278, 'n': 63, 'trace_an': 3}
  • id: 60819154
    {'hecke_orbit_code': 67553994444119278, 'n': 64, 'trace_an': 2}
  • id: 60819155
    {'hecke_orbit_code': 67553994444119278, 'n': 65, 'trace_an': -6}
  • id: 60819156
    {'hecke_orbit_code': 67553994444119278, 'n': 66, 'trace_an': -6}
  • id: 60819157
    {'hecke_orbit_code': 67553994444119278, 'n': 67, 'trace_an': -4}
  • id: 60819158
    {'hecke_orbit_code': 67553994444119278, 'n': 68, 'trace_an': 2}
  • id: 60819159
    {'hecke_orbit_code': 67553994444119278, 'n': 69, 'trace_an': 0}
  • id: 60819160
    {'hecke_orbit_code': 67553994444119278, 'n': 70, 'trace_an': 1}
  • id: 60819161
    {'hecke_orbit_code': 67553994444119278, 'n': 71, 'trace_an': 7}
  • id: 60819162
    {'hecke_orbit_code': 67553994444119278, 'n': 72, 'trace_an': 3}
  • id: 60819163
    {'hecke_orbit_code': 67553994444119278, 'n': 73, 'trace_an': 12}
  • id: 60819164
    {'hecke_orbit_code': 67553994444119278, 'n': 74, 'trace_an': 6}
  • id: 60819165
    {'hecke_orbit_code': 67553994444119278, 'n': 75, 'trace_an': -6}
  • id: 60819166
    {'hecke_orbit_code': 67553994444119278, 'n': 76, 'trace_an': -6}
  • id: 60819167
    {'hecke_orbit_code': 67553994444119278, 'n': 77, 'trace_an': 3}
  • id: 60819168
    {'hecke_orbit_code': 67553994444119278, 'n': 78, 'trace_an': 1}
  • id: 60819169
    {'hecke_orbit_code': 67553994444119278, 'n': 79, 'trace_an': 6}
  • id: 60819170
    {'hecke_orbit_code': 67553994444119278, 'n': 80, 'trace_an': 1}
  • id: 60819171
    {'hecke_orbit_code': 67553994444119278, 'n': 81, 'trace_an': -2}
  • id: 60819172
    {'hecke_orbit_code': 67553994444119278, 'n': 82, 'trace_an': -7}
  • id: 60819173
    {'hecke_orbit_code': 67553994444119278, 'n': 83, 'trace_an': -5}
  • id: 60819174
    {'hecke_orbit_code': 67553994444119278, 'n': 84, 'trace_an': -1}
  • id: 60819175
    {'hecke_orbit_code': 67553994444119278, 'n': 85, 'trace_an': -9}
  • id: 60819176
    {'hecke_orbit_code': 67553994444119278, 'n': 86, 'trace_an': -2}
  • id: 60819177
    {'hecke_orbit_code': 67553994444119278, 'n': 87, 'trace_an': 16}
  • id: 60819178
    {'hecke_orbit_code': 67553994444119278, 'n': 88, 'trace_an': 3}
  • id: 60819179
    {'hecke_orbit_code': 67553994444119278, 'n': 89, 'trace_an': 2}
  • id: 60819180
    {'hecke_orbit_code': 67553994444119278, 'n': 90, 'trace_an': 4}
  • id: 60819181
    {'hecke_orbit_code': 67553994444119278, 'n': 91, 'trace_an': 7}
  • id: 60819182
    {'hecke_orbit_code': 67553994444119278, 'n': 92, 'trace_an': 0}
  • id: 60819183
    {'hecke_orbit_code': 67553994444119278, 'n': 93, 'trace_an': -19}
  • id: 60819184
    {'hecke_orbit_code': 67553994444119278, 'n': 94, 'trace_an': 3}
  • id: 60819185
    {'hecke_orbit_code': 67553994444119278, 'n': 95, 'trace_an': 7}
  • id: 60819186
    {'hecke_orbit_code': 67553994444119278, 'n': 96, 'trace_an': -1}
  • id: 60819187
    {'hecke_orbit_code': 67553994444119278, 'n': 97, 'trace_an': 18}
  • id: 60819188
    {'hecke_orbit_code': 67553994444119278, 'n': 98, 'trace_an': -2}
  • id: 60819189
    {'hecke_orbit_code': 67553994444119278, 'n': 99, 'trace_an': 12}
  • id: 60819190
    {'hecke_orbit_code': 67553994444119278, 'n': 100, 'trace_an': -7}