Embedded newform data - 2432.2.c.i.1217.7

Formats: - HTML - YAML - JSON - 2024-05-01T09:04:35.433279

• 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
  conrey_indexes	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_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	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': 9728, 'analytic_conductor': 19.41961777157539, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 8, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 2, 'char_parity': 1, 'char_values': [2432, 2, [1407, 2053, 1921], [2, 1, 2]], 'cm_discs': [], 'conrey_index': 1217, 'conrey_indexes': [1217], 'dim': 16, 'field_disc': 1177175862849291943936, 'field_disc_factorization': [[2, 32], [41, 2], [113, 4]], 'field_poly': [256, -512, 512, -256, -48, 160, -96, 0, 28, 0, -24, 20, -3, -8, 8, -4, 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': [[3, [4, 0, 84, 0, 61, 0, 14, 0, 1]], [7, [41, 0, -1072, 0, 326, 0, -32, 0, 1]]], 'hecke_orbit': 9, 'hecke_orbit_code': 36028934491474304, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 65536, 'hecke_ring_index_factorization': [[2, 16]], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 8, 2, 1, 2, 0], [1, 1, 8, 4, -1, 2, 0], [1, 1, 4, 2, -1, 2, 0]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '2432.2.c.i', 'level': 2432, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 19], 'level_radical': 38, 'minimal_twist': '2432.2.c.i', 'prim_orbit_index': 2, 'qexp_display': 'q+\\beta _{8}q^{3}+\\beta _{7}q^{5}+\\beta _{10}q^{7}+(\\beta _{12}-\\beta _{13}+\\cdots)q^{9}+\\cdots', 'related_objects': [], 'relative_dim': 16, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2432.2.c', 'trace_display': [0, 0, 0, 0], 'trace_hash': 1673289207971956390, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.036', 'prec': 17}, {'__RealLiteral__': 0, 'data': '13.169', 'prec': 20}, {'__RealLiteral__': 0, 'data': '9.041', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1747.480', 'prec': 27}, {'__RealLiteral__': 0, 'data': '5292.820', 'prec': 27}, {'__RealLiteral__': 0, 'data': '335982.906', 'prec': 34}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.766', 'prec': 17}, 'traces': [16, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, -88, 0, 0, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 104, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, -200, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 104, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, -176, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 184, 0, 0, 0, 0, 0, 0, 0, -184, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, -328, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 272, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, 0, 0, 0, 272, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, -176, 0, 0, 0, 0, 0, 0, 0, -176, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, -224, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 328, 0, 0, 0, 0, 0, 0, 0, -216, 0, 0, 0, 0, 0, 0, 0, 208, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, -336, 0, 0, 0, 0, 0, 0, 0, -152, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, 560, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, -480, 0, 0, 0, 0, 0, 0, 0, -208, 0, 0, 0, 0, 0, 0, 0, 304, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, -352, 0, 0, 0, 0, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, -240, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, -408, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, -200, 0, 0, 0, 0, 0, 0, 0, -272, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, -336, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 560, 0, 0, 0, 0, 0, 0, 0, 384, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 416, 0, 0, 0, 0, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 136, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 264, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, -352, 0, 0, 0, 0, 0, 0, 0, 512, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 304, 0, 0, 0, 0, 0, 0, 0, 248, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, -416, 0, 0, 0, 0, 0, 0, 0, -312, 0, 0, 0, 0, 0, 0, 0, 184, 0, 0, 0, 0, 0, 0, 0, -368, 0, 0, 0, 0, 0, 0, 0, -464, 0, 0, 0, 0, 0, 0, 0, -208, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, -336, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, -240, 0, 0, 0, 0, 0, 0, 0, 152, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 280, 0, 0, 0, 0, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, -304, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, 0, 0, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -216, 0, 0, 0, 0, 0, 0, 0, 400, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, -272, 0, 0, 0, 0, 0, 0, 0, 336, 0, 0, 0, 0, 0, 0, 0, -416, 0, 0, 0, 0, 0, 0, 0, 208, 0, 0, 0, 0, 0, 0, 0, 320, 0, 0, 0, 0, 0, 0, 0, -416, 0, 0, 0, 0, 0, 0, 0, 320, 0, 0, 0, 0, 0, 0, 0, 136, 0, 0, 0, 0, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 384, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, -136, 0, 0, 0, 0, 0, 0, 0, -608, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 368, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, -464, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, -408, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, -856, 0, 0, 0, 0, 0, 0, 0, 208, 0, 0, 0, 0, 0, 0, 0, 264, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 184, 0, 0, 0, 0, 0, 0, 0, -416, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, -488, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 736, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, -432, 0, 0, 0, 0, 0, 0, 0, 320, 0, 0, 0, 0, 0, 0, 0, 704, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 800, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 0, 0, 0, 0, -400, 0, 0, 0, 0, 0, 0, 0, -240, 0, 0, 0, 0, 0, 0, 0, -352, 0, 0, 0, 0, 0, 0, 0, -272, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -88, 0, 0, 0, 0, 0, 0, 0, 208, 0, 0, 0, 0, 0, 0, 0, -720, 0, 0, 0, 0, 0, 0, 0, -480, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 512, 0, 0, 0, 0, 0, 0, 0, -528, 0, 0, 0, 0, 0, 0, 0, 512, 0, 0, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 424, 0, 0, 0, 0, 0, 0, 0, -352, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, -568, 0, 0, 0, 0, 0, 0, 0, -208, 0, 0, 0, 0, 0, 0, 0, -624, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, -272, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 448, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 696, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 800, 0, 0, 0, 0, 0, 0, 0, 688, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 632, 0, 0, 0, 0, 0, 0, 0, -600, 0, 0, 0, 0, 0, 0, 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

  
  {'an_normalized': [[1.0, 0.0], [0.0, 0.0], [0.0, -0.12828225007398508], [0.0, 0.0], [0.0, -0.6935432566330513], [0.0, 0.0], [-1.157833221093324, 0.0], [0.0, 0.0], [0.9835436643159555, 0.0], [0.0, 0.0], [0.0, 0.2866260288810058], [0.0, 0.0], [0.0, 0.9322093652418861], [0.0, 0.0], [-0.0889692894845271, 0.0], [0.0, 0.0], [0.44345871553370236, 0.0], [0.0, 0.0], [0.0, -0.22941573387056177], [0.0, 0.0], [0.0, 0.14852945081226143], [0.0, 0.0], [-0.7008437743295993, 0.0], [0.0, 0.0], [0.5189977511788215, 0.0], [0.0, 0.0], [0.0, -0.25445344437844813], [0.0, 0.0], [0.0, 0.9208121541234591], [0.0, 0.0], [0.6189551292508351, 0.0], [0.0, 0.0], [0.03676903191462646, 0.0], [0.0, 0.0], [0.0, 0.8030074227949996], [0.0, 0.0], [0.0, 0.4864387567879881], [0.0, 0.0], [0.11958591491327053, 0.0], [0.0, 0.0], [0.7116630216570036, 0.0], [0.0, 0.0], [0.0, -0.2582909109588124], [0.0, 0.0], [0.0, -0.6821300759904925], [0.0, 0.0], [0.495854857869133, 0.0], [0.0, 0.0], [0.34057776786734184, 0.0], [0.0, 0.0], 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• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  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_prime	boolean
  level_is_prime_power	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': 9728, 'analytic_conductor': 19.41961777157539, 'char_conductor': 8, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 2, 'char_parity': 1, 'char_values': [2432, 2, [1407, 2053, 1921], [2, 1, 2]], 'conrey_index': 1217, 'cusp_dim': 304, 'dim': 72, 'eis_dim': 32, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 7], 'hecke_orbit_code': 137472510336, 'hecke_orbit_dims': [2, 2, 4, 4, 6, 6, 6, 6, 16, 20], 'label': '2432.2.c', 'level': 2432, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 19], 'level_radical': 38, 'mf_dim': 336, 'mf_new_dim': 72, 'num_forms': 10, 'prim_orbit_index': 2, 'relative_dim': 72, 'sturm_bound': 640, 'trace_bound': 7, 'trace_display': [0, 0, 0, 0], 'traces': [72, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 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0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -320, 0, 0, 0, 0, 0, 0, 0, -336, 0, 0, 0, 0, 0, 0, 0, -208, 0, 0, 0, 0, 0, 0, 0, -368, 0, 0, 0, 0, 0, 0, 0, -368, 0, 0, 0, 0, 0, 0, 0, 384, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 328, 0, 0, 0, 0, 0, 0, 0, 560, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, 0, 0, 0, 272, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, -576, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 768, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, -368, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 0, 0, 0, 0, -152, 0, 0, 0, 0, 0, 0, 0, -240, 0, 0, 0, 0, 0, 0, 0, 448, 0, 0, 0, 0, 0, 0, 0, -368, 0, 0, 0, 0, 0, 0, 0, 448, 0, 0, 0, 0, 0, 0, 0, 320, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, -240, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, -512, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, -384, 0, 0, 0, 0, 0, 0, 0, -448, 0, 0, 0, 0, 0, 0, 0, -832, 0, 0, 0, 0, 0, 0, 0, -400, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, 0, 0, 0, 352, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, 432, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, -320, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, -576, 0, 0, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, 184, 0, 0, 0, 0, 0, 0, 0, 352, 0, 0, 0, 0, 0, 0, 0, -512, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 592, 0, 0, 0, 0, 0, 0, 0, 384, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, -576, 0, 0, 0, 0, 0, 0, 0, -368, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 640, 0, 0, 0, 0, 0, 0, 0, 832, 0, 0, 0, 0, 0, 0, 0, 512, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 496, 0, 0, 0, 0, 0, 0, 0, -960, 0, 0, 0, 0, 0, 0, 0, 608, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, -768, 0, 0, 0, 0, 0, 0, 0, -640, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 720, 0, 0, 0, 0, 0, 0, 0, -672, 0, 0, 0, 0, 0, 0, 0, -528, 0, 0, 0, 0, 0, 0, 0, -384, 0, 0, 0, 0, 0, 0, 0, -320, 0, 0, 0, 0, 0, 0, 0, 272, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, -448, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 0, 0, 0, 0, 512, 0, 0, 0, 0, 0, 0, 0, 384, 0, 0, 0, 0, 0, 0, 0, -304, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, -224, 0, 0, 0, 0, 0, 0, 0, -584, 0, 0, 0, 0, 0, 0, 0, 640, 0, 0, 0, 0, 0, 0, 0, -512, 0, 0, 0, 0, 0, 0, 0, 496, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -304, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, -704, 0, 0, 0, 0, 0, 0, 0, -656, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 768, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 352, 0, 0, 0, 0, 0, 0, 0, 384, 0, 0, 0, 0, 0, 0, 0, 320, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, -560, 0, 0, 0, 0, 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: 46609011
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1217, 'source_dim': 16, 'source_embedding_index': 7, 'source_hecke_orbit_code': 36028934491474304, 'source_is_minimal': True, 'source_label': '2432.2.c.i.1217.7', 'source_level': 2432, 'target_conrey_index': 1217, 'target_dim': 16, 'target_embedding_index': 7, 'target_hecke_orbit_code': 36028934491474304, 'target_is_minimal': True, 'target_label': '2432.2.c.i.1217.7', 'target_level': 2432, 'twist_class_label': '2432.2.c.i.1217.7', 'twist_class_level': 2432, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 46609012
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1217, 'source_dim': 16, 'source_embedding_index': 7, 'source_hecke_orbit_code': 36028934491474304, 'source_is_minimal': True, 'source_label': '2432.2.c.i.1217.7', 'source_level': 2432, 'target_conrey_index': 1217, 'target_dim': 16, 'target_embedding_index': 9, 'target_hecke_orbit_code': 36028934491474304, 'target_is_minimal': True, 'target_label': '2432.2.c.i.1217.9', 'target_level': 2432, 'twist_class_label': '2432.2.c.i.1217.7', 'twist_class_level': 2432, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 46609013
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1217, 'source_dim': 16, 'source_embedding_index': 7, 'source_hecke_orbit_code': 36028934491474304, 'source_is_minimal': True, 'source_label': '2432.2.c.i.1217.7', 'source_level': 2432, 'target_conrey_index': 1217, 'target_dim': 16, 'target_embedding_index': 8, 'target_hecke_orbit_code': 36028934491474304, 'target_is_minimal': True, 'target_label': '2432.2.c.i.1217.8', 'target_level': 2432, 'twist_class_label': '2432.2.c.i.1217.7', 'twist_class_level': 2432, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 46609014
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1217, 'source_dim': 16, 'source_embedding_index': 7, 'source_hecke_orbit_code': 36028934491474304, 'source_is_minimal': True, 'source_label': '2432.2.c.i.1217.7', 'source_level': 2432, 'target_conrey_index': 1217, 'target_dim': 16, 'target_embedding_index': 10, 'target_hecke_orbit_code': 36028934491474304, 'target_is_minimal': True, 'target_label': '2432.2.c.i.1217.10', 'target_level': 2432, 'twist_class_label': '2432.2.c.i.1217.7', 'twist_class_level': 2432, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 46609015
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1217, 'source_dim': 16, 'source_embedding_index': 7, 'source_hecke_orbit_code': 36028934491474304, 'source_is_minimal': True, 'source_label': '2432.2.c.i.1217.7', 'source_level': 2432, 'target_conrey_index': 1, 'target_dim': 8, 'target_embedding_index': 3, 'target_hecke_orbit_code': 193654784010490624, 'target_is_minimal': False, 'target_label': '4864.2.a.br.1.3', 'target_level': 4864, 'twist_class_label': '2432.2.c.i.1217.7', 'twist_class_level': 2432, 'twisting_char_label': '16.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 46609016
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1217, 'source_dim': 16, 'source_embedding_index': 7, 'source_hecke_orbit_code': 36028934491474304, 'source_is_minimal': True, 'source_label': '2432.2.c.i.1217.7', 'source_level': 2432, 'target_conrey_index': 1, 'target_dim': 8, 'target_embedding_index': 4, 'target_hecke_orbit_code': 193654784010490624, 'target_is_minimal': False, 'target_label': '4864.2.a.br.1.4', 'target_level': 4864, 'twist_class_label': '2432.2.c.i.1217.7', 'twist_class_level': 2432, 'twisting_char_label': '16.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 46609017
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1217, 'source_dim': 16, 'source_embedding_index': 7, 'source_hecke_orbit_code': 36028934491474304, 'source_is_minimal': True, 'source_label': '2432.2.c.i.1217.7', 'source_level': 2432, 'target_conrey_index': 1, 'target_dim': 8, 'target_embedding_index': 6, 'target_hecke_orbit_code': 171136785873638144, 'target_is_minimal': False, 'target_label': '4864.2.a.bm.1.6', 'target_level': 4864, 'twist_class_label': '2432.2.c.i.1217.7', 'twist_class_level': 2432, 'twisting_char_label': '16.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 46609018
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1217, 'source_dim': 16, 'source_embedding_index': 7, 'source_hecke_orbit_code': 36028934491474304, 'source_is_minimal': True, 'source_label': '2432.2.c.i.1217.7', 'source_level': 2432, 'target_conrey_index': 1, 'target_dim': 8, 'target_embedding_index': 5, 'target_hecke_orbit_code': 171136785873638144, 'target_is_minimal': False, 'target_label': '4864.2.a.bm.1.5', 'target_level': 4864, 'twist_class_label': '2432.2.c.i.1217.7', 'twist_class_level': 2432, 'twisting_char_label': '16.13', 'twisting_conrey_index': 13, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2652625
    {'charpoly_factorization': [[[0, 1], 16]], 'hecke_orbit_code': 36028934491474304, 'p': 2}
  • id: 2652626
    {'charpoly_factorization': [[[4, 0, 84, 0, 61, 0, 14, 0, 1], 2]], 'hecke_orbit_code': 36028934491474304, 'p': 3}
  • id: 2652627
    {'charpoly_factorization': [[[656, 0, 712, 0, 249, 0, 30, 0, 1], 2]], 'hecke_orbit_code': 36028934491474304, 'p': 5}
  • id: 2652628
    {'charpoly_factorization': [[[41, 0, -1072, 0, 326, 0, -32, 0, 1], 2]], 'hecke_orbit_code': 36028934491474304, 'p': 7}
  • id: 2652629
    {'charpoly_factorization': [[[1024, 0, 1600, 0, 561, 0, 50, 0, 1], 2]], 'hecke_orbit_code': 36028934491474304, 'p': 11}
  • id: 2652630
    {'charpoly_factorization': [[[2624, 0, 9232, 0, 1505, 0, 74, 0, 1], 2]], 'hecke_orbit_code': 36028934491474304, 'p': 13}
  • id: 2652631
    {'charpoly_factorization': [[[-7, 2, 1], 8]], 'hecke_orbit_code': 36028934491474304, 'p': 17}
  • id: 2652632
    {'charpoly_factorization': [[[1, 0, 1], 8]], 'hecke_orbit_code': 36028934491474304, 'p': 19}
  • id: 2652633
    {'charpoly_factorization': [[[2624, 0, -9232, 0, 1505, 0, -74, 0, 1], 2]], 'hecke_orbit_code': 36028934491474304, 'p': 23}
  • id: 2652634
    {'charpoly_factorization': [[[164, 0, 30124, 0, 3325, 0, 110, 0, 1], 2]], 'hecke_orbit_code': 36028934491474304, 'p': 29}
  • id: 2652635
    {'charpoly_factorization': [[[2624, 0, -2400, 0, 660, 0, -52, 0, 1], 2]], 'hecke_orbit_code': 36028934491474304, 'p': 31}
  • id: 2652636
    {'charpoly_factorization': [[[4410944, 0, 673056, 0, 21460, 0, 252, 0, 1], 2]], 'hecke_orbit_code': 36028934491474304, 'p': 37}
  • id: 2652637
    {'charpoly_factorization': [[[32, -48, -30, 4, 1], 4]], 'hecke_orbit_code': 36028934491474304, 'p': 41}
  • id: 2652638
    {'charpoly_factorization': [[[3083536, 0, 1166376, 0, 32785, 0, 314, 0, 1], 2]], 'hecke_orbit_code': 36028934491474304, 'p': 43}
  • id: 2652639
    {'charpoly_factorization': [[[758336, 0, -154704, 0, 10233, 0, -230, 0, 1], 2]], 'hecke_orbit_code': 36028934491474304, 'p': 47}
  • id: 2652640
    {'charpoly_factorization': [[[393764, 0, 178164, 0, 11485, 0, 198, 0, 1], 2]], 'hecke_orbit_code': 36028934491474304, 'p': 53}
  • id: 2652641
    {'charpoly_factorization': [[[16, 0, 952, 0, 5473, 0, 186, 0, 1], 2]], 'hecke_orbit_code': 36028934491474304, 'p': 59}
  • id: 2652642
    {'charpoly_factorization': [[[189584, 0, 124040, 0, 8265, 0, 174, 0, 1], 2]], 'hecke_orbit_code': 36028934491474304, 'p': 61}
  • id: 2652643
    {'charpoly_factorization': [[[315844, 0, 93452, 0, 6685, 0, 150, 0, 1], 2]], 'hecke_orbit_code': 36028934491474304, 'p': 67}
  • id: 2652644
    {'charpoly_factorization': [[[52910336, 0, -3418112, 0, 64864, 0, -448, 0, 1], 2]], 'hecke_orbit_code': 36028934491474304, 'p': 71}
  • id: 2652645
    {'charpoly_factorization': [[[-191, 252, -74, -4, 1], 4]], 'hecke_orbit_code': 36028934491474304, 'p': 73}
  • id: 2652646
    {'charpoly_factorization': [[[13983296, 0, -2761568, 0, 66900, 0, -468, 0, 1], 2]], 'hecke_orbit_code': 36028934491474304, 'p': 79}
  • id: 2652647
    {'charpoly_factorization': [[[4096, 0, 7680, 0, 3856, 0, 296, 0, 1], 2]], 'hecke_orbit_code': 36028934491474304, 'p': 83}
  • id: 2652648
    {'charpoly_factorization': [[[-1864, 1192, -158, -4, 1], 4]], 'hecke_orbit_code': 36028934491474304, 'p': 89}
  • id: 2652649
    {'charpoly_factorization': [[[-32, -224, 124, -20, 1], 4]], 'hecke_orbit_code': 36028934491474304, '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': 3, 'hecke_orbit': 9, 'label': '2432.2.c.i', 'level': 2432, 'portrait': 'data:image/png;base64,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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 201348000
    {'hecke_orbit_code': 36028934491474304, 'n': 1, 'trace_an': 16}
  • id: 201348001
    {'hecke_orbit_code': 36028934491474304, 'n': 2, 'trace_an': 0}
  • id: 201348002
    {'hecke_orbit_code': 36028934491474304, 'n': 3, 'trace_an': 0}
  • id: 201348003
    {'hecke_orbit_code': 36028934491474304, 'n': 4, 'trace_an': 0}
  • id: 201348004
    {'hecke_orbit_code': 36028934491474304, 'n': 5, 'trace_an': 0}
  • id: 201348005
    {'hecke_orbit_code': 36028934491474304, 'n': 6, 'trace_an': 0}
  • id: 201348006
    {'hecke_orbit_code': 36028934491474304, 'n': 7, 'trace_an': 0}
  • id: 201348007
    {'hecke_orbit_code': 36028934491474304, 'n': 8, 'trace_an': 0}
  • id: 201348008
    {'hecke_orbit_code': 36028934491474304, 'n': 9, 'trace_an': -8}
  • id: 201348009
    {'hecke_orbit_code': 36028934491474304, 'n': 10, 'trace_an': 0}
  • id: 201348010
    {'hecke_orbit_code': 36028934491474304, 'n': 11, 'trace_an': 0}
  • id: 201348011
    {'hecke_orbit_code': 36028934491474304, 'n': 12, 'trace_an': 0}
  • id: 201348012
    {'hecke_orbit_code': 36028934491474304, 'n': 13, 'trace_an': 0}
  • id: 201348013
    {'hecke_orbit_code': 36028934491474304, 'n': 14, 'trace_an': 0}
  • id: 201348014
    {'hecke_orbit_code': 36028934491474304, 'n': 15, 'trace_an': 0}
  • id: 201348015
    {'hecke_orbit_code': 36028934491474304, 'n': 16, 'trace_an': 0}
  • id: 201348016
    {'hecke_orbit_code': 36028934491474304, 'n': 17, 'trace_an': -16}
  • id: 201348017
    {'hecke_orbit_code': 36028934491474304, 'n': 18, 'trace_an': 0}
  • id: 201348018
    {'hecke_orbit_code': 36028934491474304, 'n': 19, 'trace_an': 0}
  • id: 201348019
    {'hecke_orbit_code': 36028934491474304, 'n': 20, 'trace_an': 0}
  • id: 201348020
    {'hecke_orbit_code': 36028934491474304, 'n': 21, 'trace_an': 0}
  • id: 201348021
    {'hecke_orbit_code': 36028934491474304, 'n': 22, 'trace_an': 0}
  • id: 201348022
    {'hecke_orbit_code': 36028934491474304, 'n': 23, 'trace_an': 0}
  • id: 201348023
    {'hecke_orbit_code': 36028934491474304, 'n': 24, 'trace_an': 0}
  • id: 201348024
    {'hecke_orbit_code': 36028934491474304, 'n': 25, 'trace_an': -40}
  • id: 201348025
    {'hecke_orbit_code': 36028934491474304, 'n': 26, 'trace_an': 0}
  • id: 201348026
    {'hecke_orbit_code': 36028934491474304, 'n': 27, 'trace_an': 0}
  • id: 201348027
    {'hecke_orbit_code': 36028934491474304, 'n': 28, 'trace_an': 0}
  • id: 201348028
    {'hecke_orbit_code': 36028934491474304, 'n': 29, 'trace_an': 0}
  • id: 201348029
    {'hecke_orbit_code': 36028934491474304, 'n': 30, 'trace_an': 0}
  • id: 201348030
    {'hecke_orbit_code': 36028934491474304, 'n': 31, 'trace_an': 0}
  • id: 201348031
    {'hecke_orbit_code': 36028934491474304, 'n': 32, 'trace_an': 0}
  • id: 201348032
    {'hecke_orbit_code': 36028934491474304, 'n': 33, 'trace_an': 48}
  • id: 201348033
    {'hecke_orbit_code': 36028934491474304, 'n': 34, 'trace_an': 0}
  • id: 201348034
    {'hecke_orbit_code': 36028934491474304, 'n': 35, 'trace_an': 0}
  • id: 201348035
    {'hecke_orbit_code': 36028934491474304, 'n': 36, 'trace_an': 0}
  • id: 201348036
    {'hecke_orbit_code': 36028934491474304, 'n': 37, 'trace_an': 0}
  • id: 201348037
    {'hecke_orbit_code': 36028934491474304, 'n': 38, 'trace_an': 0}
  • id: 201348038
    {'hecke_orbit_code': 36028934491474304, 'n': 39, 'trace_an': 0}
  • id: 201348039
    {'hecke_orbit_code': 36028934491474304, 'n': 40, 'trace_an': 0}
  • id: 201348040
    {'hecke_orbit_code': 36028934491474304, 'n': 41, 'trace_an': -16}
  • id: 201348041
    {'hecke_orbit_code': 36028934491474304, 'n': 42, 'trace_an': 0}
  • id: 201348042
    {'hecke_orbit_code': 36028934491474304, 'n': 43, 'trace_an': 0}
  • id: 201348043
    {'hecke_orbit_code': 36028934491474304, 'n': 44, 'trace_an': 0}
  • id: 201348044
    {'hecke_orbit_code': 36028934491474304, 'n': 45, 'trace_an': 0}
  • id: 201348045
    {'hecke_orbit_code': 36028934491474304, 'n': 46, 'trace_an': 0}
  • id: 201348046
    {'hecke_orbit_code': 36028934491474304, 'n': 47, 'trace_an': 0}
  • id: 201348047
    {'hecke_orbit_code': 36028934491474304, 'n': 48, 'trace_an': 0}
  • id: 201348048
    {'hecke_orbit_code': 36028934491474304, 'n': 49, 'trace_an': 16}
  • id: 201348049
    {'hecke_orbit_code': 36028934491474304, 'n': 50, 'trace_an': 0}
  • id: 201348050
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  • id: 201348947
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  • id: 201348951
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