Newform data - 1904.2.a.p

Formats: - HTML - YAML - JSON - 2026-10-08T14:01:31.692100

• 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': 7616, 'analytic_conductor': 15.203516544851785, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [7, -1], [17, 1]], 'atkin_lehner_string': '+-+', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [1904, 1, [239, 1429, 1361, 785], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 3, 'field_disc': 229, 'field_disc_factorization': [[229, 1]], 'field_poly': [-1, -4, 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': [[3, [4, -1, -3, 1]], [5, [-2, -5, -1, 1]]], 'hecke_orbit': 16, 'hecke_orbit_code': 67553994444113776, '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': '1904.2.a.p', 'level': 1904, '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, 17], 'level_radical': 238, 'minimal_twist': '952.2.a.d', 'nf_label': '3.3.229.1', 'prim_orbit_index': 1, 'qexp_display': 'q+(1-\\beta _{1})q^{3}-\\beta _{2}q^{5}+q^{7}+(1-2\\beta _{1}+\\cdots)q^{9}+\\cdots', 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1904.2.a', 'trace_display': [0, 3, 1, 3], 'trace_hash': 167191991132564484, 'trace_moments': [0, {'__RealLiteral__': 0, 'data': '3.101', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.119', 'prec': 10}, {'__RealLiteral__': 0, 'data': '25.286', 'prec': 17}, 0, {'__RealLiteral__': 0, 'data': '296.788', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.012', 'prec': 7}, 'traces': [3, 0, 3, 0, 1, 0, 3, 0, 2, 0, 6, 0, 4, 0, 4, 0, -3, 0, 2, 0, 3, 0, 6, 0, -4, 0, 6, 0, -4, 0, 13, 0, 6, 0, 1, 0, 0, 0, 14, 0, -5, 0, 5, 0, -4, 0, 6, 0, 3, 0, -3, 0, -9, 0, 2, 0, -8, 0, 14, 0, 9, 0, 2, 0, -14, 0, 13, 0, 22, 0, 24, 0, -7, 0, -6, 0, 6, 0, 6, 0, -1, 0, 0, 0, -1, 0, 18, 0, 8, 0, 4, 0, 0, 0, 16, 0, 5, 0, 4, 0, 8, 0, -10, 0, 4, 0, -2, 0, 16, 0, -32, 0, -28, 0, 8, 0, 38, 0, -3, 0, -21, 0, -1, 0, 12, 0, 27, 0, -13, 0, -16, 0, 2, 0, -27, 0, 9, 0, -3, 0, 22, 0, 8, 0, 26, 0, 3, 0, -7, 0, -3, 0, -2, 0, 9, 0, 4, 0, -34, 0, 6, 0, -22, 0, 8, 0, -9, 0, 17, 0, -34, 0, 21, 0, -4, 0, 4, 0, -25, 0, 14, 0, 17, 0, -12, 0, -6, 0, 6, 0, -15, 0, 2, 0, -20, 0, -36, 0, -13, 0, 30, 0, -4, 0, 38, 0, 30, 0, 4, 0, 20, 0, -8, 0, 14, 0, 13, 0, -43, 0, -4, 0, -20, 0, -25, 0, -7, 0, 36, 0, 6, 0, -46, 0, 8, 0, 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0, -22, 0, -26, 0, 3, 0, -38, 0, 24, 0, -76, 0, -86, 0, -11, 0, -68, 0, -2, 0, -50, 0, 48, 0, -80, 0, 8, 0, -143, 0, 196, 0, 38, 0, -8, 0, 85, 0, 2, 0, -134, 0, -98, 0, 125, 0, 50, 0, -4, 0, 15, 0, -52, 0, 108, 0, -40, 0, -145, 0, 64, 0, 206, 0, -44, 0, -72, 0, -26, 0, 30, 0, 16, 0, -46, 0, 169, 0, -50, 0, 41, 0, -68, 0, -32, 0, -146, 0, -4, 0, 98, 0, 8, 0, -68, 0, 70, 0, -10, 0, -14, 0, -3, 0, -11, 0, -31, 0, 23, 0, 52, 0, 24, 0, -22, 0, 3, 0, 41, 0, -72, 0, 72, 0, 18, 0, -155, 0, -76, 0, -5, 0, -118, 0, 7, 0, 7, 0, -68, 0, 84, 0, 61, 0, -21, 0, 14, 0, -100, 0, 70, 0, -121, 0, 118, 0, -104, 0, -54, 0, -14, 0, 62, 0, -8, 0, -92, 0, -84, 0, 3, 0, 15, 0, 104, 0, -80, 0, -64, 0, 38, 0, -79, 0, -44, 0, -35, 0, 16, 0, -26, 0, 82, 0, 144, 0, -24, 0, 43, 0, -9, 0, -44, 0, 2, 0, 68, 0, -14, 0, 108, 0, 134, 0, 7, 0, 328, 0, 32, 0, -20, 0, 209, 0, 145, 0, -3, 0, -5, 0, 128, 0, -6, 0, 24, 0, -94, 0, -9, 0, -56, 0, -16, 0, -68, 0, 48, 0, -27, 0, 76, 0, -130, 0, 2, 0, -6, 0, -24, 0, -32, 0, 189, 0, 76, 0, 40, 0, -56, 0, 50, 0, -4, 0, 16, 0, -28, 0, 84, 0, -2, 0, -56, 0, -16, 0, -18, 0, 7, 0, -86, 0, -22, 0, 212, 0, 98, 0, 2, 0, 104, 0, 63, 0, 144, 0, 34, 0, -64, 0, 80, 0, -45, 0, -79, 0, -64, 0, 120, 0, -96, 0, 20, 0, -6, 0, 19, 0, -62, 0, 136, 0, -152, 0, -20, 0, -178, 0, 28, 0, -6, 0, 28, 0, 37, 0, 180, 0, -23, 0, -204, 0, -62, 0, -92, 0, -25, 0, 88, 0, 17, 0, 96, 0, 4, 0, 54, 0, 20, 0, 27, 0, -32, 0, 22, 0, 8, 0, 124, 0, 141, 0, 37, 0, 94, 0, -42, 0, 158, 0, 44, 0, -82, 0, -116, 0, -8, 0, -48, 0, 25, 0, -82, 0, -53, 0, 98, 0, -8, 0, -78, 0, 32, 0, 256, 0, -110, 0, 138, 0, -48, 0, -121, 0, -18, 0, 193, 0, 74, 0, -72, 0, -100, 0, 116, 0, 29, 0, -8, 0, -57, 0, 9, 0, 218, 0, 155, 0, 96, 0, -42, 0, 0, 0, 18, 0, 164, 0, 28, 0, -161, 0, 98, 0, -89, 0, 44, 0, 43, 0, 34, 0, 120, 0, 28, 0, -17, 0, -10, 0, 51, 0, 70, 0, -112, 0, -92, 0, 112, 0, 67, 0, -116, 0, 14, 0, 112, 0, -8, 0, 165, 0, -48, 0, -61, 0, 20, 0, -52, 0, 34, 0, 97, 0, -56, 0, -98, 0, -82, 0, 151, 0, 4, 0, 100, 0, -192, 0, -144, 0, 50, 0, -208, 0, -38, 0, 7, 0, -82, 0, -36, 0, 16, 0, -21, 0, 88, 0, 88, 0, 47, 0, 92, 0, 238, 0, 58, 0, -68, 0, -52, 0, -28, 0, 30, 0, 104, 0, -64, 0, -60, 0, -2, 0, 188, 0, 110, 0, 4, 0, -64, 0, -16, 0, -60, 0, 144, 0, -13, 0, -52, 0, 9, 0, 209, 0, -159, 0, 82, 0, -20, 0, -107, 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, -1, 0], [0, 0, 0], [0, 0, -1], [0, 0, 0], [1, 0, 0], [0, 0, 0], [1, -2, 1], [0, 0, 0], [2, 0, 0], [0, 0, 0], [2, -2, 2], [0, 0, 0], [1, 1, -1], [0, 0, 0], [-1, 0, 0], [0, 0, 0], [0, 2, -2], [0, 0, 0], [1, -1, 0], [0, 0, 0], [2, -2, 0], [0, 0, 0], [-2, 1, -2], [0, 0, 0], [3, -1, 3], [0, 0, 0], [-2, -2, -2], [0, 0, 0], [4, 2, -1], [0, 0, 0], [2, -2, 0], [0, 0, 0], [0, 0, -1], [0, 0, 0], [0, 4, 0], [0, 0, 0], [6, -6, 4], [0, 0, 0], [-3, 1, -4], [0, 0, 0], [1, 3, -2], [0, 0, 0], [-1, 1, 1], [0, 0, 0], [2, -2, 0], [0, 0, 0], [1, 0, 0], [0, 0, 0], [-1, 1, 0], [0, 0, 0], [-2, 2, 3], [0, 0, 0], [0, 0, -2], [0, 0, 0], [-4, 4, -4], [0, 0, 0], [4, 2, -2], [0, 0, 0], [3, -1, 0], [0, 0, 0], [1, -2, 1], [0, 0, 0], [-4, 0, 2], [0, 0, 0], [6, -4, 5], [0, 0, 0], [8, -4, 2], [0, 0, 0], [8, 4, 0], [0, 0, 0], [-1, 3, 4], [0, 0, 0], [-3, 5, -3], [0, 0, 0], [2, 0, 0], [0, 0, 0], [2, -6, 0], [0, 0, 0], [0, -1, 1], [0, 0, 0], [2, -4, 6], [0, 0, 0], [0, 0, 1], [0, 0, 0], [6, 2, 0], [0, 0, 0], [2, 4, -2], [0, 0, 0], [2, -2, 2], [0, 0, 0], [-1, -1, -3], [0, 0, 0], [4, 0, -4], [0, 0, 0], [4, -4, 7], [0, 0, 0], [2, -4, 2], [0, 0, 0]], 'ap': [[0, 0, 0], [1, -1, 0], [0, 0, -1], [1, 0, 0], [2, 0, 0], [2, -2, 2], [-1, 0, 0], [0, 2, -2], [2, -2, 0], [-2, -2, -2], [4, 2, -1], [0, 4, 0], [-3, 1, -4], [1, 3, -2], [2, -2, 0], [-2, 2, 3], [4, 2, -2], [3, -1, 0], [6, -4, 5], [8, 4, 0], [-1, 3, 4], [2, -6, 0], [2, -4, 6], [2, 4, -2], [4, -4, 7], [4, 4, 4], [-2, -2, 4], [-2, 4, -4], [6, -2, 2], [-10, 0, -2], [10, -4, 3], [-4, 8, 4], [1, -3, -6], [0, -2, 3], [-3, 9, -2], [-3, 3, -6], [0, 8, -4], [-8, 2, -2], [-3, 7, 0], [7, 3, 0], [-9, 5, -2], [2, 8, -8], [-6, 8, -3], [2, 4, 4], [-12, -4, 0], [-3, 7, 4], [10, 0, 10], [-8, -4, -4], [0, -14, 7], [10, 2, -6], [-14, 0, 4], [-3, -5, -6], [0, 4, -1], [0, -6, -2], [-12, 6, 0], [20, -4, 4], [-6, 4, -4], [-10, 6, 0], [14, -2, 4], [-14, 6, -3], [20, -2, 1], [-16, 0, -6], [-12, -6, 0], [4, 6, -3], [-4, 4, 3], [-8, -12, 6], [-6, 0, -1], [-8, -2, 6], [10, 4, -8], [16, 0, -2], [-14, -8, 4], [6, -8, 15], [5, 7, 0], [-1, 11, -10], [2, -8, 12], [-2, -6, 10], [10, -10, 11], [12, -4, -1], [-26, 0, 0], [14, -4, -2], [0, -6, -7], [15, -5, -2], [-4, 8, -2], [0, -18, 12], [-1, 13, 4], [-8, 0, -4], [-20, -2, 6], [-6, -2, -15], [-8, -8, 2], [25, -1, 2], [12, 10, -4], [-1, 13, 0], [4, 8, -2], [-2, 0, 13], [-16, -2, 0], [12, -6, -1], [20, -4, 12], [3, -9, 4], [6, -16, 2], [-6, -10, 8], [-8, 10, -6], [2, -8, -12], [6, 0, -12], [-11, 1, -10], [16, 18, -6], [0, 14, -14], [-8, 10, 4], [-12, 10, 2], [-1, 9, -10], [6, 12, -4], [-8, -6, -7], [14, -6, 11], [14, -4, 12], [4, -16, -12], [-6, 8, 1], [-16, -2, 0], [27, -3, 4], [-18, -2, -6], [-18, 6, 2], [-30, 0, 5], [10, -6, 14], [-24, 6, -8], [6, -20, 0], [16, -6, 6], [29, 7, 4], [2, 20, -4], [-6, 10, 6], [-15, -5, 4], [4, -8, 2], [-12, -24, 10], [-1, -7, -2], [0, 16, 10], [-4, 4, 12], [19, 15, -2], [0, 14, 0], [8, -6, 6], [-6, 10, 8], [20, 16, -12], [2, -14, 8], [4, -18, -10], [-1, -3, -16], [-8, 16, -20], [24, 8, -2], [0, 6, -4], [30, 2, -6], [-8, 0, 12], [26, -4, 12], [36, 0, 1], [26, 0, 10], [-6, -4, -17], [8, -8, 16], [28, 0, 9], [-34, 8, -9], [24, -2, 3], [-2, 0, 0], [2, 22, 2], [-21, -3, -14], [16, -8, 17], [24, -18, -10], [35, -9, -4], [14, -24, 4], [10, -18, 19], [-15, 7, -10], [-6, 8, 4], [10, 2, 13], [24, -2, -1], [18, -2, -10], [3, -17, -16], [16, 26, -14], [9, -3, 0], [12, -16, 4], [4, -24, 16], [42, -10, -4], [10, -6, -3], [18, 6, -14], [-28, 0, 3], [-10, -4, -14], [-4, 12, 2], [-22, -2, -18], [4, 4, -6], [12, -28, -4], [29, -1, -4], [18, -14, -8], [24, -6, 4], [-22, -4, -1], [-6, 10, 0], [-20, 12, 4], [-4, -14, 16], [-2, 24, -4], [-20, -12, 4], [-29, 11, -24], [-8, 6, -6], [0, 12, 12], [0, -8, 0], [6, -8, -16], [8, -12, -19], [-18, 8, 14], [-12, 4, -2], [-11, -7, 12], [-14, 26, -14], [30, -10, 18], [36, 2, 11], [-14, 2, -24], [14, 24, -18], [-16, 22, 0], [-38, 14, -6], [10, 14, -14], [11, 13, -6], [6, 24, 2], [6, 20, -16], [8, -10, 8], [-30, -2, 6], [12, 16, -4], [16, 14, -16], [1, -21, 12], [-55, -7, 4], [20, 4, 28], [18, 24, -6], [-16, 28, -10], [10, 6, 13], [-10, -6, 11], [13, -17, -4], [-21, 11, 14], [-14, -22, 0], [38, -16, -6], [-10, 18, -7], [-6, -4, 20], [0, 12, 22], [-20, -4, -12], [12, -14, 16], [-47, -11, 6], [36, -16, 4], [16, -24, -4], [41, 1, 6], [10, 16, 8], [-34, -18, 0], [-46, 0, -16], [-28, -20, 16], [6, 0, 18], [-10, -34, 20], [-46, 12, -12], [6, 24, 0], [20, -20, 26], [-7, -3, -2], [-16, -8, -19], [-24, -18, 7], [15, 5, 16], [-57, 1, -12], [-6, -28, 17], [-13, -27, 14], [21, -7, -6], [36, -12, 13], [2, 12, -13], [16, -20, 5], [-30, 6, -10], [33, -1, 6], [-12, -36, 10], [0, 6, 17], [-9, -21, -12], [36, 14, 6], [-28, 8, -4], [-34, -12, 1], [48, 0, 5], [-12, -12, -1], [35, -5, 16], [22, -16, 4], [-10, 10, -9], [8, 14, 6], [36, -18, 8], [35, 7, -14], [-40, 16, -3], [-20, -4, 4], [-68, -2, -4], [-2, -16, 27], [38, -16, -10], [-16, -12, 4], [19, 9, -22], [-14, 6, -21], [-9, -25, -10], [-12, -10, -8], [-22, 22, -34], [16, 4, 10], [0, 0, -28], [8, 4, -10], [32, -26, -3], [-5, -11, -22], [16, -34, 4], [-18, 10, -20], [32, 0, 2], [50, 4, 14], [20, 0, -4], [-24, -2, -5], [2, -8, 24], [-4, -34, 5], [18, -26, 4], [11, 15, 12], [-14, -14, -22], [-58, -2, -12], [24, -26, 11], [-8, 10, 6], [12, 6, 22], [-10, 28, -28], [-30, -30, 6], [-12, -38, 22], [40, 2, -12], [44, 18, -8], [-26, 4, 13], [-5, 15, -20], [10, -4, -9], [17, 5, -6], [-12, -30, 15], [22, -30, -12], [22, -4, -2], [-55, -9, 10], [23, 9, 14], [-2, -24, -2], [-4, 10, -30], [28, 4, 8], [3, -25, 20], [50, -12, 4], [17, -37, 12], [-10, 4, 2], [42, -18, 14], [30, 8, 11], [-2, 36, -18], [-52, 10, -20], [-40, -6, -18], [-20, -22, 7], [-2, 14, 22], [-16, 8, -14], [60, 4, 2], [8, -24, -6], [9, 11, -12], [-22, 8, 12], [28, 14, 8], [60, 12, -4], [-7, 13, 22], [7, 3, -4], [-1, 11, -24], [-26, 22, -18], [3, 23, -30], [-6, 22, -11], [50, 16, -12], [10, 20, 15], [1, -19, -6], [-10, 40, -12], [40, -8, -1], [-10, 12, 19], [8, -2, 7], [7, 27, -12], [-34, 36, 10], [2, 20, -24], [13, -15, 22], [-4, -2, 5], [34, -2, 13], [-18, 8, 14], [0, -12, 26], [3, 9, 20], [-16, 2, 2], [0, 8, -8], [-38, -10, 20], [48, -12, 19], [10, 28, 15], [70, 4, 4], [8, 10, -6], [62, -2, 17], [19, -17, 16], [-11, -21, -2], [0, 26, -18], [-9, 33, -34], [19, 5, -4], [6, -26, 4], [-37, 7, 10], [46, -10, 20], [2, 26, 20], [-29, 1, -8], [48, 12, 0], [-16, -6, -24], [44, -10, -2], [-10, 4, -10], [43, -9, -16], [-22, -32, 28], [18, 14, -22], [-10, -8, 2], [59, 9, -12], [4, 20, -28], [4, 12, -4], [6, 14, 20], [-6, -4, 0], [-28, 4, 2], [4, -14, 34], [38, 16, 16], [14, -20, -21], [24, 42, -8], [-34, 12, -23], [-28, -6, -20], [8, 40, 4], [-58, 4, -22], [-6, -16, 2], [6, 50, -19], [-18, 32, 8], [-14, 42, -17], [-1, 25, -30], [43, -17, -12], [-22, -26, 16], [-36, -36, 8], [2, -10, -19], [-21, -25, -10], [34, 12, 4], [-39, 7, 4], [16, -16, 19], [-18, 26, 3], [50, 4, -5], [12, -6, 18], [-57, -9, -10], [-35, 1, -16], [20, -20, -10], [16, 26, -19], [56, 4, 3], [12, -32, 16], [37, -31, 14], [45, -23, -16], [24, -16, 22], [6, 40, 2], [10, 36, -28], [-16, 4, 4], [36, 10, 4], [-2, 28, -4], [58, -8, -14], [-32, -34, 11]], 'char_orbit_index': 1, 'field_poly': [-1, -4, 0, 1], 'hecke_orbit_code': 67553994444113776, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 1, 1], 'hecke_ring_inverse_denominators': [1, 1, 1], 'hecke_ring_inverse_numerators': [[1, 0, 0], [0, 1, 0], [3, 0, 1]], 'hecke_ring_numerators': [[1, 0, 0], [0, 1, 0], [-3, 0, 1]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 3, 'label': '1904.2.a.p', 'level': 1904, '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, 6, 6, 6, 8, 3, 4, 9], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [2, 3, 3, 3, 3, 3, 3, 3], 'ALdims_old': [20, 38, 34, 23, 26, 32, 35, 21], 'Nk2': 7616, 'analytic_conductor': 15.203516544851785, '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': [1904, 1, [239, 1429, 1361, 785], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 277, 'dim': 48, 'eis_dim': 23, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 5], 'hecke_orbit_code': 33556336, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 4, 4, 4, 5], 'label': '1904.2.a', 'level': 1904, '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, 17], 'level_radical': 238, 'mf_dim': 300, 'mf_new_dim': 48, 'num_forms': 20, 'plus_dim': 19, 'prim_orbit_index': 1, 'relative_dim': 48, 'sturm_bound': 576, 'trace_bound': 5, 'trace_display': [0, 0, 0, 2], 'traces': [48, 0, 0, 0, 0, 0, 2, 0, 48, 0, -8, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 16, 0, 48, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, -8, 0, 40, 0, 0, 0, 36, 0, 0, 0, -24, 0, 48, 0, -12, 0, -8, 0, 8, 0, 16, 0, 24, 0, 0, 0, 10, 0, 16, 0, -4, 0, 0, 0, 32, 0, 0, 0, 64, 0, -8, 0, 40, 0, 64, 0, 40, 0, 0, 0, 56, 0, 16, 0, -12, 0, -48, 0, 48, 0, 16, 0, 48, 0, -48, 0, -40, 0, 16, 0, 0, 0, -8, 0, -32, 0, 0, 0, -56, 0, 0, 0, 10, 0, 32, 0, -28, 0, 48, 0, -4, 0, 0, 0, 64, 0, 0, 0, 4, 0, 16, 0, 32, 0, 0, 0, -32, 0, 0, 0, 0, 0, 8, 0, -20, 0, 0, 0, -28, 0, -48, 0, 64, 0, -16, 0, -64, 0, -16, 0, 0, 0, 64, 0, -16, 0, -32, 0, 14, 0, -32, 0, 44, 0, -64, 0, 52, 0, -16, 0, 0, 0, 0, 0, 4, 0, 16, 0, 40, 0, 56, 0, -96, 0, -48, 0, 4, 0, -64, 0, -40, 0, 48, 0, 64, 0, -48, 0, -16, 0, 0, 0, 44, 0, 0, 0, 112, 0, 0, 0, -96, 0, 48, 0, 24, 0, 16, 0, 32, 0, 16, 0, 44, 0, 16, 0, 0, 0, 0, 0, -48, 0, -16, 0, -120, 0, -16, 0, 0, 0, -16, 0, 20, 0, -24, 0, 0, 0, 32, 0, 56, 0, 80, 0, -24, 0, -16, 0, -64, 0, -72, 0, -96, 0, 16, 0, -48, 0, 0, 0, -24, 0, 48, 0, -56, 0, -112, 0, 40, 0, 32, 0, 16, 0, -40, 0, -80, 0, 96, 0, 104, 0, -16, 0, -128, 0, 64, 0, 20, 0, -120, 0, 128, 0, 112, 0, -24, 0, -144, 0, 8, 0, 0, 0, 68, 0, -152, 0, -32, 0, 16, 0, -88, 0, 48, 0, 2, 0, 32, 0, -56, 0, 48, 0, 80, 0, 32, 0, -16, 0, 0, 0, -4, 0, 64, 0, -160, 0, -176, 0, 160, 0, -96, 0, -20, 0, -24, 0, -172, 0, -16, 0, -80, 0, -176, 0, -192, 0, 0, 0, 4, 0, -120, 0, 0, 0, -80, 0, 48, 0, -48, 0, 0, 0, -64, 0, 168, 0, -192, 0, -208, 0, 48, 0, -192, 0, 0, 0, 72, 0, 16, 0, -48, 0, 8, 0, -96, 0, 0, 0, 48, 0, -32, 0, 72, 0, 32, 0, 24, 0, -16, 0, -48, 0, 48, 0, -48, 0, 16, 0, 128, 0, -128, 0, 88, 0, -64, 0, 0, 0, 64, 0, -48, 0, 0, 0, -52, 0, 48, 0, 0, 0, 24, 0, -192, 0, -80, 0, 32, 0, 32, 0, 48, 0, 96, 0, -24, 0, -8, 0, 136, 0, -128, 0, -68, 0, 0, 0, 240, 0, -16, 0, -144, 0, -72, 0, -64, 0, 112, 0, 80, 0, -80, 0, 0, 0, -16, 0, -160, 0, 16, 0, -220, 0, 112, 0, -128, 0, -40, 0, 36, 0, 128, 0, 48, 0, 32, 0, -136, 0, -48, 0, -8, 0, -72, 0, -72, 0, 16, 0, 16, 0, -64, 0, -96, 0, 32, 0, 32, 0, 64, 0, -80, 0, 0, 0, -56, 0, 80, 0, -62, 0, 32, 0, 40, 0, 16, 0, 40, 0, 96, 0, -56, 0, 16, 0, -88, 0, 80, 0, -24, 0, 144, 0, 24, 0, -64, 0, -12, 0, -104, 0, -172, 0, 48, 0, -152, 0, -160, 0, 80, 0, 0, 0, 80, 0, 40, 0, 16, 0, -48, 0, 32, 0, 80, 0, 44, 0, 64, 0, 240, 0, 16, 0, 52, 0, -96, 0, -240, 0, 0, 0, 336, 0, 48, 0, 96, 0, -8, 0, -24, 0, -96, 0, -48, 0, 8, 0, -80, 0, 48, 0, -100, 0, 112, 0, 0, 0, -16, 0, 32, 0, -32, 0, -24, 0, -80, 0, 272, 0, 0, 0, -48, 0, 192, 0, -32, 0, 64, 0, 64, 0, 64, 0, 0, 0, -40, 0, -180, 0, 16, 0, -192, 0, 0, 0, 272, 0, -272, 0, -36, 0, 72, 0, -48, 0, -64, 0, -32, 0, -16, 0, 0, 0, 0, 0, 136, 0, -120, 0, 320, 0, -48, 0, 0, 0, 96, 0, -24, 0, 80, 0, 172, 0, 48, 0, 0, 0, -64, 0, 184, 0, -56, 0, 72, 0, -64, 0, 256, 0, -8, 0, -48, 0, 48, 0, 68, 0, -40, 0, 64, 0, 48, 0, -152, 0, 48, 0, -16, 0, 48, 0, 104, 0, -16, 0, -216, 0, -128, 0, 80, 0, 240, 0, -20, 0, 16, 0, -236, 0, 160, 0, 32, 0, 144, 0, -56, 0, 0, 0, -72, 0, 16, 0, 112, 0, 32, 0, 24, 0, 64, 0, 28, 0, -184, 0, -56, 0, -160, 0, -248, 0, -48, 0, 144, 0, 0, 0, -24, 0, -104, 0, -32, 0, 160, 0, -288, 0, -32, 0, -54, 0, 0, 0, 48, 0, -16, 0, 136, 0, 128, 0, 168, 0, 32, 0, -116, 0, 80, 0, 0, 0, 32, 0, 168, 0, 16, 0, -24, 0, -88, 0, -136, 0, 160, 0, 148, 0, 128, 0, 176, 0, 0, 0, -88, 0, 176, 0, 128, 0, -16, 0, 192, 0, 0, 0, -52, 0, -48, 0, -32, 0, -240, 0, 24, 0, 16, 0, 304, 0, -40, 0, -44, 0, 144, 0, -336, 0, -88, 0, 64, 0, -16, 0, 0, 0, 48, 0, 56, 0, 0, 0, 168, 0, 48, 0, 120, 0, -32, 0, 248, 0, -144, 0, -152, 0, 144, 0, -64, 0, 256, 0, 100, 0, 160, 0, -88, 0, 128, 0, -68, 0, 48, 0, -72, 0, -80, 0, 304, 0, -80, 0, 192, 0, 120, 0, -128, 0, -16, 0, 0, 0, 16, 0, 184, 0, -176, 0, 312, 0, -48, 0, -8, 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: 836666
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 3, 'source_hecke_orbit': 16, 'source_is_minimal': False, 'source_label': '1904.2.a.p', 'source_level': 1904, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '952.2.a.d', 'target_level': 952, 'twist_class_label': '952.2.a.d', 'twist_class_level': 952, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 836667
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 3, 'source_hecke_orbit': 16, 'source_is_minimal': False, 'source_label': '1904.2.a.p', 'source_level': 1904, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 16, 'target_is_minimal': False, 'target_label': '1904.2.a.p', 'target_level': 1904, 'twist_class_label': '952.2.a.d', 'twist_class_level': 952, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 836668
    {'conductor': 28, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 3, 'source_hecke_orbit': 16, 'source_is_minimal': False, 'source_label': '1904.2.a.p', 'source_level': 1904, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 12, 'target_is_minimal': False, 'target_label': '6664.2.a.l', 'target_level': 6664, 'twist_class_label': '952.2.a.d', 'twist_class_level': 952, 'twisting_char_label': '28.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 836669
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 3, 'source_hecke_orbit': 16, 'source_is_minimal': False, 'source_label': '1904.2.a.p', 'source_level': 1904, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 27, 'target_is_minimal': False, 'target_label': '7616.2.a.ba', 'target_level': 7616, 'twist_class_label': '952.2.a.d', 'twist_class_level': 952, 'twisting_char_label': '8.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 836670
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 3, 'source_hecke_orbit': 16, 'source_is_minimal': False, 'source_label': '1904.2.a.p', 'source_level': 1904, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 33, 'target_is_minimal': False, 'target_label': '7616.2.a.bg', 'target_level': 7616, 'twist_class_label': '952.2.a.d', 'twist_class_level': 952, 'twisting_char_label': '8.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 836671
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 3, 'source_hecke_orbit': 16, 'source_is_minimal': False, 'source_label': '1904.2.a.p', 'source_level': 1904, 'target_char_orbit': 1, 'target_dim': 3, 'target_hecke_orbit': 26, 'target_is_minimal': False, 'target_label': '8568.2.a.z', 'target_level': 8568, 'twist_class_label': '952.2.a.d', 'twist_class_level': 952, '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: 2289525
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 67553994444113776, 'p': 2}
  • id: 2289526
    {'charpoly_factorization': [[[4, -1, -3, 1], 1]], 'hecke_orbit_code': 67553994444113776, 'p': 3}
  • id: 2289527
    {'charpoly_factorization': [[[-2, -5, -1, 1], 1]], 'hecke_orbit_code': 67553994444113776, 'p': 5}
  • id: 2289528
    {'charpoly_factorization': [[[-1, 1], 3]], 'hecke_orbit_code': 67553994444113776, 'p': 7}
  • id: 2289529
    {'charpoly_factorization': [[[-2, 1], 3]], 'hecke_orbit_code': 67553994444113776, 'p': 11}
  • id: 2289530
    {'charpoly_factorization': [[[16, -20, -4, 1], 1]], 'hecke_orbit_code': 67553994444113776, 'p': 13}
  • id: 2289531
    {'charpoly_factorization': [[[1, 1], 3]], 'hecke_orbit_code': 67553994444113776, 'p': 17}
  • id: 2289532
    {'charpoly_factorization': [[[32, -24, -2, 1], 1]], 'hecke_orbit_code': 67553994444113776, 'p': 19}
  • id: 2289533
    {'charpoly_factorization': [[[32, -4, -6, 1], 1]], 'hecke_orbit_code': 67553994444113776, 'p': 23}
  • id: 2289534
    {'charpoly_factorization': [[[32, -44, 4, 1], 1]], 'hecke_orbit_code': 67553994444113776, 'p': 29}
  • id: 2289535
    {'charpoly_factorization': [[[8, 41, -13, 1], 1]], 'hecke_orbit_code': 67553994444113776, 'p': 31}
  • id: 2289536
    {'charpoly_factorization': [[[-64, -64, 0, 1], 1]], 'hecke_orbit_code': 67553994444113776, 'p': 37}
  • id: 2289537
    {'charpoly_factorization': [[[-386, -69, 5, 1], 1]], 'hecke_orbit_code': 67553994444113776, 'p': 41}
  • id: 2289538
    {'charpoly_factorization': [[[148, -31, -5, 1], 1]], 'hecke_orbit_code': 67553994444113776, 'p': 43}
  • id: 2289539
    {'charpoly_factorization': [[[32, -4, -6, 1], 1]], 'hecke_orbit_code': 67553994444113776, 'p': 47}
  • id: 2289540
    {'charpoly_factorization': [[[-326, -55, 9, 1], 1]], 'hecke_orbit_code': 67553994444113776, 'p': 53}
  • id: 2289541
    {'charpoly_factorization': [[[32, 40, -14, 1], 1]], 'hecke_orbit_code': 67553994444113776, 'p': 59}
  • id: 2289542
    {'charpoly_factorization': [[[-14, 23, -9, 1], 1]], 'hecke_orbit_code': 67553994444113776, 'p': 61}
  • id: 2289543
    {'charpoly_factorization': [[[592, -81, -13, 1], 1]], 'hecke_orbit_code': 67553994444113776, 'p': 67}
  • id: 2289544
    {'charpoly_factorization': [[[-64, 128, -24, 1], 1]], 'hecke_orbit_code': 67553994444113776, 'p': 71}
  • id: 2289545
    {'charpoly_factorization': [[[-718, -141, 7, 1], 1]], 'hecke_orbit_code': 67553994444113776, 'p': 73}
  • id: 2289546
    {'charpoly_factorization': [[[496, -132, -6, 1], 1]], 'hecke_orbit_code': 67553994444113776, 'p': 79}
  • id: 2289547
    {'charpoly_factorization': [[[424, -184, 0, 1], 1]], 'hecke_orbit_code': 67553994444113776, 'p': 83}
  • id: 2289548
    {'charpoly_factorization': [[[328, -40, -8, 1], 1]], 'hecke_orbit_code': 67553994444113776, 'p': 89}
  • id: 2289549
    {'charpoly_factorization': [[[1334, -233, -5, 1], 1]], 'hecke_orbit_code': 67553994444113776, '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': '1904.2.a.p', 'level': 1904, '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: 60401647
    {'hecke_orbit_code': 67553994444113776, 'n': 1, 'trace_an': 3}
  • id: 60401648
    {'hecke_orbit_code': 67553994444113776, 'n': 2, 'trace_an': 0}
  • id: 60401649
    {'hecke_orbit_code': 67553994444113776, 'n': 3, 'trace_an': 3}
  • id: 60401650
    {'hecke_orbit_code': 67553994444113776, 'n': 4, 'trace_an': 0}
  • id: 60401651
    {'hecke_orbit_code': 67553994444113776, 'n': 5, 'trace_an': 1}
  • id: 60401652
    {'hecke_orbit_code': 67553994444113776, 'n': 6, 'trace_an': 0}
  • id: 60401653
    {'hecke_orbit_code': 67553994444113776, 'n': 7, 'trace_an': 3}
  • id: 60401654
    {'hecke_orbit_code': 67553994444113776, 'n': 8, 'trace_an': 0}
  • id: 60401655
    {'hecke_orbit_code': 67553994444113776, 'n': 9, 'trace_an': 2}
  • id: 60401656
    {'hecke_orbit_code': 67553994444113776, 'n': 10, 'trace_an': 0}
  • id: 60401657
    {'hecke_orbit_code': 67553994444113776, 'n': 11, 'trace_an': 6}
  • id: 60401658
    {'hecke_orbit_code': 67553994444113776, 'n': 12, 'trace_an': 0}
  • id: 60401659
    {'hecke_orbit_code': 67553994444113776, 'n': 13, 'trace_an': 4}
  • id: 60401660
    {'hecke_orbit_code': 67553994444113776, 'n': 14, 'trace_an': 0}
  • id: 60401661
    {'hecke_orbit_code': 67553994444113776, 'n': 15, 'trace_an': 4}
  • id: 60401662
    {'hecke_orbit_code': 67553994444113776, 'n': 16, 'trace_an': 0}
  • id: 60401663
    {'hecke_orbit_code': 67553994444113776, 'n': 17, 'trace_an': -3}
  • id: 60401664
    {'hecke_orbit_code': 67553994444113776, 'n': 18, 'trace_an': 0}
  • id: 60401665
    {'hecke_orbit_code': 67553994444113776, 'n': 19, 'trace_an': 2}
  • id: 60401666
    {'hecke_orbit_code': 67553994444113776, 'n': 20, 'trace_an': 0}
  • id: 60401667
    {'hecke_orbit_code': 67553994444113776, 'n': 21, 'trace_an': 3}
  • id: 60401668
    {'hecke_orbit_code': 67553994444113776, 'n': 22, 'trace_an': 0}
  • id: 60401669
    {'hecke_orbit_code': 67553994444113776, 'n': 23, 'trace_an': 6}
  • id: 60401670
    {'hecke_orbit_code': 67553994444113776, 'n': 24, 'trace_an': 0}
  • id: 60401671
    {'hecke_orbit_code': 67553994444113776, 'n': 25, 'trace_an': -4}
  • id: 60401672
    {'hecke_orbit_code': 67553994444113776, 'n': 26, 'trace_an': 0}
  • id: 60401673
    {'hecke_orbit_code': 67553994444113776, 'n': 27, 'trace_an': 6}
  • id: 60401674
    {'hecke_orbit_code': 67553994444113776, 'n': 28, 'trace_an': 0}
  • id: 60401675
    {'hecke_orbit_code': 67553994444113776, 'n': 29, 'trace_an': -4}
  • id: 60401676
    {'hecke_orbit_code': 67553994444113776, 'n': 30, 'trace_an': 0}
  • id: 60401677
    {'hecke_orbit_code': 67553994444113776, 'n': 31, 'trace_an': 13}
  • id: 60401678
    {'hecke_orbit_code': 67553994444113776, 'n': 32, 'trace_an': 0}
  • id: 60401679
    {'hecke_orbit_code': 67553994444113776, 'n': 33, 'trace_an': 6}
  • id: 60401680
    {'hecke_orbit_code': 67553994444113776, 'n': 34, 'trace_an': 0}
  • id: 60401681
    {'hecke_orbit_code': 67553994444113776, 'n': 35, 'trace_an': 1}
  • id: 60401682
    {'hecke_orbit_code': 67553994444113776, 'n': 36, 'trace_an': 0}
  • id: 60401683
    {'hecke_orbit_code': 67553994444113776, 'n': 37, 'trace_an': 0}
  • id: 60401684
    {'hecke_orbit_code': 67553994444113776, 'n': 38, 'trace_an': 0}
  • id: 60401685
    {'hecke_orbit_code': 67553994444113776, 'n': 39, 'trace_an': 14}
  • id: 60401686
    {'hecke_orbit_code': 67553994444113776, 'n': 40, 'trace_an': 0}
  • id: 60401687
    {'hecke_orbit_code': 67553994444113776, 'n': 41, 'trace_an': -5}
  • id: 60401688
    {'hecke_orbit_code': 67553994444113776, 'n': 42, 'trace_an': 0}
  • id: 60401689
    {'hecke_orbit_code': 67553994444113776, 'n': 43, 'trace_an': 5}
  • id: 60401690
    {'hecke_orbit_code': 67553994444113776, 'n': 44, 'trace_an': 0}
  • id: 60401691
    {'hecke_orbit_code': 67553994444113776, 'n': 45, 'trace_an': -4}
  • id: 60401692
    {'hecke_orbit_code': 67553994444113776, 'n': 46, 'trace_an': 0}
  • id: 60401693
    {'hecke_orbit_code': 67553994444113776, 'n': 47, 'trace_an': 6}
  • id: 60401694
    {'hecke_orbit_code': 67553994444113776, 'n': 48, 'trace_an': 0}
  • id: 60401695
    {'hecke_orbit_code': 67553994444113776, 'n': 49, 'trace_an': 3}
  • id: 60401696
    {'hecke_orbit_code': 67553994444113776, 'n': 50, 'trace_an': 0}
  • id: 60401697
    {'hecke_orbit_code': 67553994444113776, 'n': 51, 'trace_an': -3}
  • id: 60401698
    {'hecke_orbit_code': 67553994444113776, 'n': 52, 'trace_an': 0}
  • id: 60401699
    {'hecke_orbit_code': 67553994444113776, 'n': 53, 'trace_an': -9}
  • id: 60401700
    {'hecke_orbit_code': 67553994444113776, 'n': 54, 'trace_an': 0}
  • id: 60401701
    {'hecke_orbit_code': 67553994444113776, 'n': 55, 'trace_an': 2}
  • id: 60401702
    {'hecke_orbit_code': 67553994444113776, 'n': 56, 'trace_an': 0}
  • id: 60401703
    {'hecke_orbit_code': 67553994444113776, 'n': 57, 'trace_an': -8}
  • id: 60401704
    {'hecke_orbit_code': 67553994444113776, 'n': 58, 'trace_an': 0}
  • id: 60401705
    {'hecke_orbit_code': 67553994444113776, 'n': 59, 'trace_an': 14}
  • id: 60401706
    {'hecke_orbit_code': 67553994444113776, 'n': 60, 'trace_an': 0}
  • id: 60401707
    {'hecke_orbit_code': 67553994444113776, 'n': 61, 'trace_an': 9}
  • id: 60401708
    {'hecke_orbit_code': 67553994444113776, 'n': 62, 'trace_an': 0}
  • id: 60401709
    {'hecke_orbit_code': 67553994444113776, 'n': 63, 'trace_an': 2}
  • id: 60401710
    {'hecke_orbit_code': 67553994444113776, 'n': 64, 'trace_an': 0}
  • id: 60401711
    {'hecke_orbit_code': 67553994444113776, 'n': 65, 'trace_an': -14}
  • id: 60401712
    {'hecke_orbit_code': 67553994444113776, 'n': 66, 'trace_an': 0}
  • id: 60401713
    {'hecke_orbit_code': 67553994444113776, 'n': 67, 'trace_an': 13}
  • id: 60401714
    {'hecke_orbit_code': 67553994444113776, 'n': 68, 'trace_an': 0}
  • id: 60401715
    {'hecke_orbit_code': 67553994444113776, 'n': 69, 'trace_an': 22}
  • id: 60401716
    {'hecke_orbit_code': 67553994444113776, 'n': 70, 'trace_an': 0}
  • id: 60401717
    {'hecke_orbit_code': 67553994444113776, 'n': 71, 'trace_an': 24}
  • id: 60401718
    {'hecke_orbit_code': 67553994444113776, 'n': 72, 'trace_an': 0}
  • id: 60401719
    {'hecke_orbit_code': 67553994444113776, 'n': 73, 'trace_an': -7}
  • id: 60401720
    {'hecke_orbit_code': 67553994444113776, 'n': 74, 'trace_an': 0}
  • id: 60401721
    {'hecke_orbit_code': 67553994444113776, 'n': 75, 'trace_an': -6}
  • id: 60401722
    {'hecke_orbit_code': 67553994444113776, 'n': 76, 'trace_an': 0}
  • id: 60401723
    {'hecke_orbit_code': 67553994444113776, 'n': 77, 'trace_an': 6}
  • id: 60401724
    {'hecke_orbit_code': 67553994444113776, 'n': 78, 'trace_an': 0}
  • id: 60401725
    {'hecke_orbit_code': 67553994444113776, 'n': 79, 'trace_an': 6}
  • id: 60401726
    {'hecke_orbit_code': 67553994444113776, 'n': 80, 'trace_an': 0}
  • id: 60401727
    {'hecke_orbit_code': 67553994444113776, 'n': 81, 'trace_an': -1}
  • id: 60401728
    {'hecke_orbit_code': 67553994444113776, 'n': 82, 'trace_an': 0}
  • id: 60401729
    {'hecke_orbit_code': 67553994444113776, 'n': 83, 'trace_an': 0}
  • id: 60401730
    {'hecke_orbit_code': 67553994444113776, 'n': 84, 'trace_an': 0}
  • id: 60401731
    {'hecke_orbit_code': 67553994444113776, 'n': 85, 'trace_an': -1}
  • id: 60401732
    {'hecke_orbit_code': 67553994444113776, 'n': 86, 'trace_an': 0}
  • id: 60401733
    {'hecke_orbit_code': 67553994444113776, 'n': 87, 'trace_an': 18}
  • id: 60401734
    {'hecke_orbit_code': 67553994444113776, 'n': 88, 'trace_an': 0}
  • id: 60401735
    {'hecke_orbit_code': 67553994444113776, 'n': 89, 'trace_an': 8}
  • id: 60401736
    {'hecke_orbit_code': 67553994444113776, 'n': 90, 'trace_an': 0}
  • id: 60401737
    {'hecke_orbit_code': 67553994444113776, 'n': 91, 'trace_an': 4}
  • id: 60401738
    {'hecke_orbit_code': 67553994444113776, 'n': 92, 'trace_an': 0}
  • id: 60401739
    {'hecke_orbit_code': 67553994444113776, 'n': 93, 'trace_an': 0}
  • id: 60401740
    {'hecke_orbit_code': 67553994444113776, 'n': 94, 'trace_an': 0}
  • id: 60401741
    {'hecke_orbit_code': 67553994444113776, 'n': 95, 'trace_an': 16}
  • id: 60401742
    {'hecke_orbit_code': 67553994444113776, 'n': 96, 'trace_an': 0}
  • id: 60401743
    {'hecke_orbit_code': 67553994444113776, 'n': 97, 'trace_an': 5}
  • id: 60401744
    {'hecke_orbit_code': 67553994444113776, 'n': 98, 'trace_an': 0}
  • id: 60401745
    {'hecke_orbit_code': 67553994444113776, 'n': 99, 'trace_an': 4}
  • id: 60401746
    {'hecke_orbit_code': 67553994444113776, 'n': 100, 'trace_an': 0}