Embedded newform data - 2736.2.bm.s.559.1

Formats: - HTML - YAML - JSON - 2024-06-11T11:46:09.807931

• 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': 10944, 'analytic_conductor': 21.847069993022313, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 76, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 39, 'char_orbit_label': 'bm', 'char_order': 6, 'char_parity': 1, 'char_values': [2736, 6, [1711, 2053, 1217, 1009], [3, 6, 6, 1]], 'cm_discs': [], 'conrey_index': 559, 'dim': 8, 'field_disc': 137172455424, 'field_disc_factorization': [[2, 12], [3, 4], [643, 2]], 'field_poly': [19, 116, 300, 114, -5, -30, 0, -2, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [324, -648, 1044, -576, 286, -44, 18, -2, 1]], [7, [9, 0, 1056, 0, 418, 0, 40, 0, 1]], [11, [2916, 0, 2376, 0, 520, 0, 40, 0, 1]], [23, [12996, -2736, -4140, 912, 1378, 228, -26, -6, 1]], [31, [-45, 282, 10, -14, 1]]], 'hecke_orbit': 19, 'hecke_orbit_code': 81067404666342064, 'hecke_ring_generator_nbound': 19, 'hecke_ring_index': 3, 'hecke_ring_index_factorization': [[3, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 76, 6, 1, 6, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '2736.2.bm.s', 'level': 2736, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 19], 'level_radical': 114, 'minimal_twist': '912.2.bb.g', 'prim_orbit_index': 6, 'qexp_display': 'q+(\\beta _{3}+\\beta _{6}-\\beta _{7})q^{5}+(1-\\beta _{2}+\\beta _{4}+\\cdots)q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '1.2.3.c6', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2736.2.bm', 'trace_display': [0, 0, 2, 0], 'trace_hash': 1838834350253777798, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '7.493', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '215.064', 'prec': 24}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9461.137', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.178', 'prec': 17}, 'traces': [8, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 6, 0, -12, 0, 0, 0, 12, 0, 28, 0, 0, 0, 18, 0, 0, 0, 0, 0, 12, 0, 18, 0, 0, 0, 12, 0, -24, 0, 0, 0, 6, 0, -12, 0, 0, 0, 10, 0, -4, 0, 0, 0, 0, 0, -6, 0, 0, 0, -8, 0, -8, 0, 0, 0, -28, 0, -14, 0, 0, 0, 0, 0, -8, 0, 0, 0, -54, 0, -26, 0, 0, 0, 38, 0, 60, 0, 0, 0, 0, 0, 28, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -84, 0, 8, 0, 0, 0, 72, 0, 8, 0, 0, 0, 12, 0, 36, 0, 0, 0, 24, 0, -66, 0, 0, 0, 26, 0, 0, 0, 0, 0, 2, 0, 56, 0, 0, 0, 6, 0, -36, 0, 0, 0, 2, 0, 0, 0, 0, 0, 66, 0, 0, 0, 0, 0, -24, 0, 18, 0, 0, 0, 28, 0, 12, 0, 0, 0, -42, 0, -36, 0, 0, 0, 0, 0, -48, 0, 0, 0, 44, 0, -18, 0, 0, 0, -28, 0, -48, 0, 0, 0, -12, 0, 2, 0, 0, 0, 114, 0, 0, 0, 0, 0, 0, 0, 42, 0, 0, 0, -60, 0, 48, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, -56, 0, -30, 0, 0, 0, 48, 0, -20, 0, 0, 0, -6, 0, 148, 0, 0, 0, -12, 0, 0, 0, 0, 0, -78, 0, 60, 0, 0, 0, -78, 0, -8, 0, 0, 0, 30, 0, 24, 0, 0, 0, 12, 0, -36, 0, 0, 0, 0, 0, -76, 0, 0, 0, -22, 0, -60, 0, 0, 0, -28, 0, -16, 0, 0, 0, 0, 0, 24, 0, 0, 0, 6, 0, -80, 0, 0, 0, 116, 0, 96, 0, 0, 0, 52, 0, 36, 0, 0, 0, -212, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, -30, 0, 16, 0, 0, 0, -12, 0, 56, 0, 0, 0, -36, 0, 8, 0, 0, 0, 66, 0, -126, 0, 0, 0, 34, 0, 0, 0, 0, 0, -52, 0, 84, 0, 0, 0, 46, 0, 4, 0, 0, 0, -2, 0, 0, 0, 0, 0, 70, 0, 0, 0, 0, 0, 90, 0, -126, 0, 0, 0, 44, 0, 72, 0, 0, 0, -6, 0, -108, 0, 0, 0, 0, 0, -72, 0, 0, 0, 160, 0, 138, 0, 0, 0, -60, 0, -36, 0, 0, 0, -54, 0, 6, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, 0, -148, 0, -168, 0, 0, 0, 38, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, -30, 0, -146, 0, 0, 0, -48, 0, 52, 0, 0, 0, 0, 0, 96, 0, 0, 0, 36, 0, 0, 0, 0, 0, -120, 0, 42, 0, 0, 0, -12, 0, 24, 0, 0, 0, -96, 0, -30, 0, 0, 0, -14, 0, -4, 0, 0, 0, 0, 0, -6, 0, 0, 0, -72, 0, -4, 0, 0, 0, -96, 0, -68, 0, 0, 0, 0, 0, 4, 0, 0, 0, -12, 0, -34, 0, 0, 0, 108, 0, 36, 0, 0, 0, -12, 0, -60, 0, 0, 0, -168, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, -210, 0, 96, 0, 0, 0, 120, 0, 8, 0, 0, 0, -54, 0, 68, 0, 0, 0, 30, 0, -276, 0, 0, 0, 38, 0, 0, 0, 0, 0, -30, 0, 140, 0, 0, 0, -56, 0, -28, 0, 0, 0, -26, 0, 0, 0, 0, 0, 122, 0, -36, 0, 0, 0, 180, 0, 54, 0, 0, 0, 8, 0, 60, 0, 0, 0, -96, 0, -102, 0, 0, 0, 0, 0, -144, 0, 0, 0, 144, 0, -24, 0, 0, 0, -58, 0, -24, 0, 0, 0, 78, 0, 40, 0, 0, 0, 138, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, -212, 0, 24, 0, 0, 0, -26, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, -102, 0, -84, 0, 0, 0, 204, 0, -4, 0, 0, 0, 150, 0, 112, 0, 0, 0, 78, 0, 0, 0, 0, 0, -156, 0, 210, 0, 0, 0, -120, 0, -24, 0, 0, 0, -78, 0, 42, 0, 0, 0, 6, 0, 100, 0, 0, 0, 0, 0, -62, 0, 0, 0, -48, 0, -36, 0, 0, 0, -36, 0, 48, 0, 0, 0, 0, 0, 12, 0, 0, 0, 132, 0, -170, 0, 0, 0, 108, 0, -12, 0, 0, 0, -2, 0, 76, 0, 0, 0, -140, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 30, 0, 208, 0, 0, 0, -68, 0, 16, 0, 0, 0, 54, 0, 0, 0, 0, 0, 36, 0, -96, 0, 0, 0, 8, 0, 0, 0, 0, 0, -140, 0, 192, 0, 0, 0, 42, 0, 44, 0, 0, 0, -104, 0, 0, 0, 0, 0, -10, 0, -72, 0, 0, 0, 132, 0, -78, 0, 0, 0, -152, 0, -48, 0, 0, 0, -30, 0, 42, 0, 0, 0, 0, 0, 144, 0, 0, 0, 156, 0, 186, 0, 0, 0, 2, 0, 12, 0, 0, 0, 48, 0, -88, 0, 0, 0, 180, 0, 0, 0, 0, 0, 0, 0, -28, 0, 0, 0, 88, 0, -96, 0, 0, 0, -84, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, -70, 0, -212, 0, 0, 0, -60, 0, -24, 0, 0, 0, 168, 0, 216, 0, 0, 0, 192, 0, 0, 0, 0, 0, -90, 0, -36, 0, 0, 0, 36, 0, 104, 0, 0, 0, -306, 0, 18, 0, 0, 0, -28, 0, 80, 0, 0, 0, 0, 0, 40, 0, 0, 0, -2, 0, -20, 0, 0, 0, -132, 0, -74, 0, 0, 0, 0, 0, -76, 0, 0, 0, -126, 0, -52, 0, 0, 0, -30, 0, 72, 0, 0, 0, -124, 0, 16, 0, 0, 0, -20, 0, -108, 0, 0, 0, 0, 0, 0, 0, 0, 0, -204, 0, -88, 0, 0, 0, 272, 0, 66, 0, 0, 0, -90, 0, -108, 0, 0, 0, 0, 0, -198, 0, 0, 0, 86, 0, 0, 0, 0, 0, -44, 0, 60, 0, 0, 0, 4, 0, 36, 0, 0, 0, 44, 0, 0, 0, 0, 0, 108, 0, -52, 0, 0, 0, 306, 0, -36, 0, 0, 0, -136, 0, 72, 0, 0, 0, 18, 0, -126, 0, 0, 0, 0, 0, -216, 0, 0, 0, 224, 0, -96, 0, 0, 0, -22, 0, 0, 0, 0, 0, 118, 0, -46, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 108, 0, 0, 0, -248, 0, 0, 0, 0, 0, -82, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, -82, 0, 6, 0, 0, 0, 132, 0, 60, 0, 0, 0, 114, 0, 44, 0, 0, 0, 24, 0, 0, 0, 0, 0, -96, 0, 264, 0, 0, 0, -138, 0, 240, 0, 0, 0, -108, 0, 48, 0, 0, 0, 48, 0, 76, 0, 0, 0, 0, 0, -88, 0, 0, 0, -56, 0, 12, 0, 0, 0, 48, 0, 8, 0, 0, 0, 0, 0, -4, 0, 0, 0, -54, 0, -24, 0, 0, 0, 168, 0, -36, 0, 0, 0, 12, 0, -88, 0, 0, 0, -120, 0, 84, 0, 0, 0, 0, 0, 0, 0, 0, 0, 78, 0, 104, 0, 0, 0, 80, 0, -12, 0, 0, 0, 240, 0, 52, 0, 0, 0, 24, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 124, 0, 0, 0, 158, 0, 84, 0, 0, 0, -64, 0, 0, 0, 0, 0, 78, 0, -176, 0, 0, 0, 300, 0, -96, 0, 0, 0, 60, 0, 48, 0, 0, 0, -54, 0, 84, 0, 0, 0, 0, 0, 48, 0, 0, 0, 276, 0, 78, 0, 0, 0, 64, 0, -36, 0, 0, 0, 40, 0, -18, 0, 0, 0, 180, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 64, 0, 0, 0, 0, 0, -38, 0, 0, 0, 0, 0, 0, 0, -84, 0, 0, 0, -140, 0, -70, 0, 0, 0, -192, 0, 16, 0, 0, 0, 12, 0, -20, 0, 0, 0, 30, 0, 0, 0, 0, 0, -282, 0, -72, 0, 0, 0, 96, 0, 0, 0, 0, 0, -360, 0, -18, 0, 0, 0, -44, 0, 16, 0, 0, 0, 0, 0, 108, 0, 0, 0, -54, 0, -36, 0, 0, 0, -236, 0, -52, 0, 0, 0, 0, 0, -104, 0, 0, 0, 96, 0, 26, 0, 0, 0, -64, 0, 132, 0, 0, 0, -26, 0, 96, 0, 0, 0, -52, 0, -276, 0, 0, 0, 0, 0, 0, 0, 0, 0, -90, 0, 120, 0, 0, 0, 96, 0, 64, 0, 0, 0, -72, 0, -120, 0, 0, 0, 90, 0, 36, 0, 0, 0, 102, 0, 0, 0, 0, 0, -12, 0, -104, 0, 0, 0, -34, 0, 12, 0, 0, 0, -2, 0, 0, 0, 0, 0, 48, 0, -16, 0, 0, 0, 258, 0, 30, 0, 0, 0, 128, 0, -144, 0, 0, 0, -222, 0, -48, 0, 0, 0, 0, 0, -120, 0, 0, 0, 496, 0, -108, 0, 0, 0, -106, 0, -96, 0, 0, 0, 36, 0, 170, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 138, 0, 0, 0, -208, 0, -160, 0, 0, 0, -42, 0, 0, 0, 0, 0, 0, 0, 108, 0, 0, 0, -106, 0, 100, 0, 0, 0, 72, 0, -84, 0, 0, 0, 168, 0, -44, 0, 0, 0, 12, 0, 0, 0, 0, 0, -192, 0, 204, 0, 0, 0, 78, 0, 152, 0, 0, 0, -12, 0, 0, 0, 0, 0, 26, 0, 16, 0, 0, 0, 0, 0, -138, 0, 0, 0, 54, 0, -60, 0, 0, 0, -124, 0, 146, 0, 0, 0, 0, 0, 4, 0, 0, 0, 114, 0, -154, 0, 0, 0, 54, 0, 144, 0, 0, 0, 6, 0, -84, 0, 0, 0, -96, 0, -108, 0, 0, 0, 0, 0, 0, 0, 0, 0, 366, 0, 432, 0, 0, 0, 48, 0, 18, 0, 0, 0, -30, 0, -164, 0, 0, 0, 168, 0, 96, 0, 0, 0, -116, 0, 0, 0, 0, 0, -230, 0, 32, 0, 0, 0, 76, 0, -16, 0, 0, 0, -172, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 276, 0, 72, 0, 0, 0, 56, 0, 120, 0, 0, 0, 0, 0, 90, 0, 0, 0, 0, 0, 36, 0, 0, 0, 156, 0, 192, 0, 0, 0, 62, 0, 48, 0, 0, 0, -106, 0, -82, 0, 0, 0, 156, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 268, 0, -80, 0, 0, 0, 102, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, -44, 0, -48, 0, 0, 0, -138, 0, 68, 0, 0, 0, 132, 0, 176, 0, 0, 0, 48, 0, 0, 0, 0, 0, -372, 0, -132, 0, 0, 0, 96, 0, 264, 0, 0, 0, -318, 0, -6, 0, 0, 0, -98, 0, 112, 0, 0, 0, 0, 0, -2, 0, 0, 0, -58, 0, -56, 0, 0, 0, -96, 0, -160, 0, 0, 0, 0, 0, 48, 0, 0, 0, 48, 0, 80, 0, 0, 0, -312, 0, -24, 0, 0, 0, -62, 0, -96, 0, 0, 0, 272, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, -156, 0, 176, 0, 0, 0, 148, 0, 0, 0, 0, 0, -108, 0, 12, 0, 0, 0, -74, 0, 60, 0, 0, 0, 122, 0, 0, 0, 0, 0, 18, 0, -300, 0, 0, 0, -38, 0, -136, 0, 0, 0, 134, 0, 0, 0, 0, 0, -72, 0, -52, 0, 0, 0, 36, 0, 138, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
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0.06887007421786376, -0.027502495028145807, -0.2733253834224243, -0.19887668903447944, -0.12471305640079511, -0.4900372027759776, -0.42625257543548567, -0.39808916781531317, -0.3693184581643843, -0.4092562783912558, -0.2969705231112227, -0.391804288388116, -0.36478133211589014, -0.47736993062563127, -0.3475459427814249, -0.2550923116623289, -0.29820247284778517, -0.3475020319663482, 0.11600819551963992, -0.2909420655149318, -0.27678606525849947, -0.28517627122598, -0.07663612207539688, -0.1758087129710348, -0.29631228959749506, -0.14513056609820096, -0.14922568212835755, -0.3574367070791409, 0.19778385354115735, -0.032099470365195844, -0.06242363985864893, -0.33381955848720685, -0.3943110486612806, -0.3223476050876087, 0.01037818002110469, 0.032969919255163314, 0.05592410902072026, -0.18243013756251394, 0.19577357672957002, 0.018331365955589197, -0.2266637323721514, -0.15355577772576262, -0.3968589245040803, -0.4781951366398936, -0.17055639154931024, -0.23308317190856676, -0.3113479243653511, 0.06895902579269234, -0.4454551435574271, 0.006134670588796043, -0.27060835118165516, -0.4121596292506417, -0.25219788053993136, -0.32768997327837246, -0.09071442446930106, 0.09070510862426809, -0.25027823124092974, 0.13114066786800266, -0.28937230181630225, -0.21905809813449365, -0.16681884854900314, -0.3494530415204227, -0.09918865112758928, -0.46313738784688613, -0.36358209866573005, 0.11865465033490796, -0.453888567072914, -0.28112540737440234, -0.31097892136559], 'char_orbit_index': 39, 'conrey_index': 559, 'dual_conrey_index': 1855, 'dual_embedding_index': 1, 'dual_embedding_m': 5, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.17286783635849545, 'embedding_root_real': -0.21398752573105714, 'hecke_orbit': 19, 'hecke_orbit_code': 81067404666342064, 'label': '2736.2.bm.s.559.1', 'level': 2736, 'weight': 2}
• mf_newspaces •

  Column	Type
  ALdims	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

  
  {'Nk2': 10944, 'analytic_conductor': 21.847069993022313, 'char_conductor': 76, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 39, 'char_orbit_label': 'bm', 'char_order': 6, 'char_parity': 1, 'char_values': [2736, 6, [1711, 2053, 1217, 1009], [3, 6, 6, 1]], 'conrey_index': 559, 'cusp_dim': 912, 'dim': 100, 'eis_dim': 96, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 7, 11, 23, 31], 'hecke_orbit_code': 2611373673136, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 4, 6, 6, 6, 6, 8, 8, 8, 8, 16], 'label': '2736.2.bm', 'level': 2736, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 19], 'level_radical': 114, 'mf_dim': 1008, 'mf_new_dim': 100, 'num_forms': 20, 'prim_orbit_index': 6, 'relative_dim': 50, 'sturm_bound': 960, 'trace_bound': 31, 'trace_display': [0, 0, 0, 0], 'traces': [100, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, -50, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18, 0, 0, 0, 0, 0, 0, 0, -68, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -14, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 18, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, -18, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 34, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, -108, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 54, 0, 0, 0, 0, 0, 0, 0, 66, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, -18, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 234, 0, 0, 0, 0, 0, 0, 0, -74, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 10, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, -276, 0, 0, 0, 0, 0, 0, 0, -62, 0, 0, 0, 132, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 234, 0, 0, 0, 0, 0, 0, 0, -90, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, -168, 0, 0, 0, 0, 0, 0, 0, -84, 0, 0, 0, -228, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28, 0, 0, 0, 60, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, -180, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, -180, 0, 0, 0, 0, 0, 0, 0, -156, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 196, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, -168, 0, 0, 0, -84, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 100, 0, 0, 0, 312, 0, 0, 0, 0, 0, 0, 0, 224, 0, 0, 0, -138, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 66, 0, 0, 0, 0, 0, 0, 0, -50, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, -156, 0, 0, 0, -18, 0, 0, 0, 0, 0, 0, 0, 198, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, 384, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, -132, 0, 0, 0, 0, 0, 0, 0, 172, 0, 0, 0, 396, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, 0, 0, -368, 0, 0, 0, 378, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 116, 0, 0, 0, -132, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 288, 0, 0, 0, 0, 0, 0, 0, -252, 0, 0, 0, 204, 0, 0, 0, 0, 0, 0, 0, 408, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -408, 0, 0, 0, -396, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -204, 0, 0, 0, 0, 0, 0, 0, 146, 0, 0, 0, -372, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 54, 0, 0, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, -276, 0, 0, 0, 0, 0, 0, 0, -384, 0, 0, 0, -156, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -60, 0, 0, 0, -132, 0, 0, 0, 0, 0, 0, 0, -372, 0, 0, 0, 210, 0, 0, 0, 0, 0, 0, 0, -82, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -162, 0, 0, 0, 0, 0, 0, 0, 132, 0, 0, 0, -720, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 228, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 48244000
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 559, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 81067404666342064, 'source_is_minimal': False, 'source_label': '2736.2.bm.s.559.1', 'source_level': 2736, 'target_conrey_index': 559, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 81067404666342064, 'target_is_minimal': False, 'target_label': '2736.2.bm.s.559.1', 'target_level': 2736, 'twist_class_label': '912.2.bb.g.31.4', 'twist_class_level': 912, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 48244001
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 559, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 81067404666342064, 'source_is_minimal': False, 'source_label': '2736.2.bm.s.559.1', 'source_level': 2736, 'target_conrey_index': 559, 'target_dim': 8, 'target_embedding_index': 4, 'target_hecke_orbit_code': 27023453223650192, 'target_is_minimal': True, 'target_label': '912.2.bb.g.559.4', 'target_level': 912, 'twist_class_label': '912.2.bb.g.31.4', 'twist_class_level': 912, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 48244002
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 559, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 81067404666342064, 'source_is_minimal': False, 'source_label': '2736.2.bm.s.559.1', 'source_level': 2736, 'target_conrey_index': 559, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 76563805038971568, 'target_is_minimal': False, 'target_label': '2736.2.bm.r.559.1', 'target_level': 2736, 'twist_class_label': '912.2.bb.g.31.4', 'twist_class_level': 912, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 48244003
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 559, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 81067404666342064, 'source_is_minimal': False, 'source_label': '2736.2.bm.s.559.1', 'source_level': 2736, 'target_conrey_index': 559, 'target_dim': 8, 'target_embedding_index': 4, 'target_hecke_orbit_code': 31527052851020688, 'target_is_minimal': True, 'target_label': '912.2.bb.h.559.4', 'target_level': 912, 'twist_class_label': '912.2.bb.g.31.4', 'twist_class_level': 912, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 48244004
    {'conductor': 19, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 559, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 81067404666342064, 'source_is_minimal': False, 'source_label': '2736.2.bm.s.559.1', 'source_level': 2736, 'target_conrey_index': 1855, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 76563805038971568, 'target_is_minimal': False, 'target_label': '2736.2.bm.r.1855.1', 'target_level': 2736, 'twist_class_label': '912.2.bb.g.31.4', 'twist_class_level': 912, 'twisting_char_label': '19.12', 'twisting_conrey_index': 12, 'weight': 2}
  • id: 48244005
    {'conductor': 57, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 559, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 81067404666342064, 'source_is_minimal': False, 'source_label': '2736.2.bm.s.559.1', 'source_level': 2736, 'target_conrey_index': 31, 'target_dim': 8, 'target_embedding_index': 4, 'target_hecke_orbit_code': 31527052851020688, 'target_is_minimal': True, 'target_label': '912.2.bb.h.31.4', 'target_level': 912, 'twist_class_label': '912.2.bb.g.31.4', 'twist_class_level': 912, 'twisting_char_label': '57.50', 'twisting_conrey_index': 50, 'weight': 2}
  • id: 48244006
    {'conductor': 76, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 559, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 81067404666342064, 'source_is_minimal': False, 'source_label': '2736.2.bm.s.559.1', 'source_level': 2736, 'target_conrey_index': 1855, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 81067404666342064, 'target_is_minimal': False, 'target_label': '2736.2.bm.s.1855.1', 'target_level': 2736, 'twist_class_label': '912.2.bb.g.31.4', 'twist_class_level': 912, 'twisting_char_label': '76.31', 'twisting_conrey_index': 31, 'weight': 2}
  • id: 48244007
    {'conductor': 228, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 559, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 81067404666342064, 'source_is_minimal': False, 'source_label': '2736.2.bm.s.559.1', 'source_level': 2736, 'target_conrey_index': 31, 'target_dim': 8, 'target_embedding_index': 4, 'target_hecke_orbit_code': 27023453223650192, 'target_is_minimal': True, 'target_label': '912.2.bb.g.31.4', 'target_level': 912, 'twist_class_label': '912.2.bb.g.31.4', 'twist_class_level': 912, 'twisting_char_label': '228.107', 'twisting_conrey_index': 107, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2824800
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 81067404666342064, 'p': 2}
  • id: 2824801
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 81067404666342064, 'p': 3}
  • id: 2824802
    {'charpoly_factorization': [[[324, -648, 1044, -576, 286, -44, 18, -2, 1], 1]], 'hecke_orbit_code': 81067404666342064, 'p': 5}
  • id: 2824803
    {'charpoly_factorization': [[[9, 0, 1056, 0, 418, 0, 40, 0, 1], 1]], 'hecke_orbit_code': 81067404666342064, 'p': 7}
  • id: 2824804
    {'charpoly_factorization': [[[2916, 0, 2376, 0, 520, 0, 40, 0, 1], 1]], 'hecke_orbit_code': 81067404666342064, 'p': 11}
  • id: 2824805
    {'charpoly_factorization': [[[225, -1080, 2118, -1872, 691, 0, -26, 0, 1], 1]], 'hecke_orbit_code': 81067404666342064, 'p': 13}
  • id: 2824806
    {'charpoly_factorization': [[[129600, 95040, 53856, 14496, 3352, 352, 60, 4, 1], 1]], 'hecke_orbit_code': 81067404666342064, 'p': 17}
  • id: 2824807
    {'charpoly_factorization': [[[130321, 0, -1444, 1368, 258, 72, -4, 0, 1], 1]], 'hecke_orbit_code': 81067404666342064, 'p': 19}
  • id: 2824808
    {'charpoly_factorization': [[[12996, -2736, -4140, 912, 1378, 228, -26, -6, 1], 1]], 'hecke_orbit_code': 81067404666342064, 'p': 23}
  • id: 2824809
    {'charpoly_factorization': [[[746496, -746496, 297216, -48384, 544, 672, -8, -12, 1], 1]], 'hecke_orbit_code': 81067404666342064, 'p': 29}
  • id: 2824810
    {'charpoly_factorization': [[[-45, 282, 10, -14, 1], 2]], 'hecke_orbit_code': 81067404666342064, 'p': 31}
  • id: 2824811
    {'charpoly_factorization': [[[81225, 0, 42372, 0, 6046, 0, 148, 0, 1], 1]], 'hecke_orbit_code': 81067404666342064, 'p': 37}
  • id: 2824812
    {'charpoly_factorization': [[[129600, -233280, 161568, -38880, 1368, 720, -12, -12, 1], 1]], 'hecke_orbit_code': 81067404666342064, 'p': 41}
  • id: 2824813
    {'charpoly_factorization': [[[1946025, 1330830, 211302, -62964, -2763, 1188, 42, -18, 1], 1]], 'hecke_orbit_code': 81067404666342064, 'p': 43}
  • id: 2824814
    {'charpoly_factorization': [[[576, 9792, 53856, -27744, 2968, 816, -20, -12, 1], 1]], 'hecke_orbit_code': 81067404666342064, 'p': 47}
  • id: 2824815
    {'charpoly_factorization': [[[36, 288, 684, -672, 94, 84, -2, -6, 1], 1]], 'hecke_orbit_code': 81067404666342064, 'p': 53}
  • id: 2824816
    {'charpoly_factorization': [[[14152644, 2302344, 743220, 15264, 11962, -244, 198, -10, 1], 1]], 'hecke_orbit_code': 81067404666342064, 'p': 59}
  • id: 2824817
    {'charpoly_factorization': [[[1590121, -630500, 424018, 58912, 19783, 448, 154, 4, 1], 1]], 'hecke_orbit_code': 81067404666342064, 'p': 61}
  • id: 2824818
    {'charpoly_factorization': [[[693889, 1154538, 1749398, 295512, 51585, 1536, 242, 6, 1], 1]], 'hecke_orbit_code': 81067404666342064, 'p': 67}
  • id: 2824819
    {'charpoly_factorization': [[[627264, -95040, 68256, -4512, 4792, -304, 132, 8, 1], 1]], 'hecke_orbit_code': 81067404666342064, 'p': 71}
  • id: 2824820
    {'charpoly_factorization': [[[393129, 240768, 123630, 24624, 5143, 464, 102, 8, 1], 1]], 'hecke_orbit_code': 81067404666342064, 'p': 73}
  • id: 2824821
    {'charpoly_factorization': [[[5331481, 2683058, 1225558, 127400, 21493, 1568, 250, 14, 1], 1]], 'hecke_orbit_code': 81067404666342064, 'p': 79}
  • id: 2824822
    {'charpoly_factorization': [[[13483584, 0, 2229120, 0, 72288, 0, 504, 0, 1], 1]], 'hecke_orbit_code': 81067404666342064, 'p': 83}
  • id: 2824823
    {'charpoly_factorization': [[[61496964, 14774328, -400932, -380568, 14734, 10908, 1174, 54, 1], 1]], 'hecke_orbit_code': 81067404666342064, 'p': 89}
  • id: 2824824
    {'charpoly_factorization': [[[10890000, -12038400, 5835168, -1546752, 249436, -25440, 1624, -60, 1], 1]], 'hecke_orbit_code': 81067404666342064, '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': 39, 'hecke_orbit': 19, 'label': '2736.2.bm.s', 'level': 2736, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 63555439
    {'hecke_orbit_code': 81067404666342064, 'n': 1, 'trace_an': 8}
  • id: 63555440
    {'hecke_orbit_code': 81067404666342064, 'n': 2, 'trace_an': 0}
  • id: 63555441
    {'hecke_orbit_code': 81067404666342064, 'n': 3, 'trace_an': 0}
  • id: 63555442
    {'hecke_orbit_code': 81067404666342064, 'n': 4, 'trace_an': 0}
  • id: 63555443
    {'hecke_orbit_code': 81067404666342064, 'n': 5, 'trace_an': 2}
  • id: 63555444
    {'hecke_orbit_code': 81067404666342064, 'n': 6, 'trace_an': 0}
  • id: 63555445
    {'hecke_orbit_code': 81067404666342064, 'n': 7, 'trace_an': 0}
  • id: 63555446
    {'hecke_orbit_code': 81067404666342064, 'n': 8, 'trace_an': 0}
  • id: 63555447
    {'hecke_orbit_code': 81067404666342064, 'n': 9, 'trace_an': 0}
  • id: 63555448
    {'hecke_orbit_code': 81067404666342064, 'n': 10, 'trace_an': 0}
  • id: 63555449
    {'hecke_orbit_code': 81067404666342064, 'n': 11, 'trace_an': 0}
  • id: 63555450
    {'hecke_orbit_code': 81067404666342064, 'n': 12, 'trace_an': 0}
  • id: 63555451
    {'hecke_orbit_code': 81067404666342064, 'n': 13, 'trace_an': 0}
  • id: 63555452
    {'hecke_orbit_code': 81067404666342064, 'n': 14, 'trace_an': 0}
  • id: 63555453
    {'hecke_orbit_code': 81067404666342064, 'n': 15, 'trace_an': 0}
  • id: 63555454
    {'hecke_orbit_code': 81067404666342064, 'n': 16, 'trace_an': 0}
  • id: 63555455
    {'hecke_orbit_code': 81067404666342064, 'n': 17, 'trace_an': -4}
  • id: 63555456
    {'hecke_orbit_code': 81067404666342064, 'n': 18, 'trace_an': 0}
  • id: 63555457
    {'hecke_orbit_code': 81067404666342064, 'n': 19, 'trace_an': 0}
  • id: 63555458
    {'hecke_orbit_code': 81067404666342064, 'n': 20, 'trace_an': 0}
  • id: 63555459
    {'hecke_orbit_code': 81067404666342064, 'n': 21, 'trace_an': 0}
  • id: 63555460
    {'hecke_orbit_code': 81067404666342064, 'n': 22, 'trace_an': 0}
  • id: 63555461
    {'hecke_orbit_code': 81067404666342064, 'n': 23, 'trace_an': 6}
  • id: 63555462
    {'hecke_orbit_code': 81067404666342064, 'n': 24, 'trace_an': 0}
  • id: 63555463
    {'hecke_orbit_code': 81067404666342064, 'n': 25, 'trace_an': -12}
  • id: 63555464
    {'hecke_orbit_code': 81067404666342064, 'n': 26, 'trace_an': 0}
  • id: 63555465
    {'hecke_orbit_code': 81067404666342064, 'n': 27, 'trace_an': 0}
  • id: 63555466
    {'hecke_orbit_code': 81067404666342064, 'n': 28, 'trace_an': 0}
  • id: 63555467
    {'hecke_orbit_code': 81067404666342064, 'n': 29, 'trace_an': 12}
  • id: 63555468
    {'hecke_orbit_code': 81067404666342064, 'n': 30, 'trace_an': 0}
  • id: 63555469
    {'hecke_orbit_code': 81067404666342064, 'n': 31, 'trace_an': 28}
  • id: 63555470
    {'hecke_orbit_code': 81067404666342064, 'n': 32, 'trace_an': 0}
  • id: 63555471
    {'hecke_orbit_code': 81067404666342064, 'n': 33, 'trace_an': 0}
  • id: 63555472
    {'hecke_orbit_code': 81067404666342064, 'n': 34, 'trace_an': 0}
  • id: 63555473
    {'hecke_orbit_code': 81067404666342064, 'n': 35, 'trace_an': 18}
  • id: 63555474
    {'hecke_orbit_code': 81067404666342064, 'n': 36, 'trace_an': 0}
  • id: 63555475
    {'hecke_orbit_code': 81067404666342064, 'n': 37, 'trace_an': 0}
  • id: 63555476
    {'hecke_orbit_code': 81067404666342064, 'n': 38, 'trace_an': 0}
  • id: 63555477
    {'hecke_orbit_code': 81067404666342064, 'n': 39, 'trace_an': 0}
  • id: 63555478
    {'hecke_orbit_code': 81067404666342064, 'n': 40, 'trace_an': 0}
  • id: 63555479
    {'hecke_orbit_code': 81067404666342064, 'n': 41, 'trace_an': 12}
  • id: 63555480
    {'hecke_orbit_code': 81067404666342064, 'n': 42, 'trace_an': 0}
  • id: 63555481
    {'hecke_orbit_code': 81067404666342064, 'n': 43, 'trace_an': 18}
  • id: 63555482
    {'hecke_orbit_code': 81067404666342064, 'n': 44, 'trace_an': 0}
  • id: 63555483
    {'hecke_orbit_code': 81067404666342064, 'n': 45, 'trace_an': 0}
  • id: 63555484
    {'hecke_orbit_code': 81067404666342064, 'n': 46, 'trace_an': 0}
  • id: 63555485
    {'hecke_orbit_code': 81067404666342064, 'n': 47, 'trace_an': 12}
  • id: 63555486
    {'hecke_orbit_code': 81067404666342064, 'n': 48, 'trace_an': 0}
  • id: 63555487
    {'hecke_orbit_code': 81067404666342064, 'n': 49, 'trace_an': -24}
  • id: 63555488
    {'hecke_orbit_code': 81067404666342064, 'n': 50, 'trace_an': 0}
  • id: 63555489
    {'hecke_orbit_code': 81067404666342064, 'n': 51, 'trace_an': 0}
  • id: 63555490
    {'hecke_orbit_code': 81067404666342064, 'n': 52, 'trace_an': 0}
  • id: 63555491
    {'hecke_orbit_code': 81067404666342064, 'n': 53, 'trace_an': 6}
  • id: 63555492
    {'hecke_orbit_code': 81067404666342064, 'n': 54, 'trace_an': 0}
  • id: 63555493
    {'hecke_orbit_code': 81067404666342064, 'n': 55, 'trace_an': -12}
  • id: 63555494
    {'hecke_orbit_code': 81067404666342064, 'n': 56, 'trace_an': 0}
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  • id: 63555686
    {'hecke_orbit_code': 81067404666342064, 'n': 937, 'trace_an': -24}
  • id: 63555687
    {'hecke_orbit_code': 81067404666342064, 'n': 941, 'trace_an': 168}
  • id: 63555688
    {'hecke_orbit_code': 81067404666342064, 'n': 947, 'trace_an': 192}
  • id: 63555689
    {'hecke_orbit_code': 81067404666342064, 'n': 953, 'trace_an': -90}
  • id: 63555690
    {'hecke_orbit_code': 81067404666342064, 'n': 961, 'trace_an': 104}
  • id: 63555691
    {'hecke_orbit_code': 81067404666342064, 'n': 967, 'trace_an': 18}
  • id: 63555692
    {'hecke_orbit_code': 81067404666342064, 'n': 971, 'trace_an': -28}
  • id: 63555693
    {'hecke_orbit_code': 81067404666342064, 'n': 977, 'trace_an': 0}
  • id: 63555694
    {'hecke_orbit_code': 81067404666342064, 'n': 983, 'trace_an': -2}
  • id: 63555695
    {'hecke_orbit_code': 81067404666342064, 'n': 991, 'trace_an': -74}
  • id: 63555696
    {'hecke_orbit_code': 81067404666342064, 'n': 997, 'trace_an': -76}