Embedded newform data - 3800.2.d.k.3649.6

Formats: - HTML - YAML - JSON - 2025-01-18T21:02:04.940480

• 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': 15200, 'analytic_conductor': 30.343152768086547, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 5, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 4, 'char_orbit_label': 'd', 'char_order': 2, 'char_parity': 1, 'char_values': [3800, 2, [951, 1901, 1977, 401], [2, 2, 1, 2]], 'cm_discs': [], 'conrey_index': 3649, 'dim': 6, 'field_disc': -5161984, 'field_disc_factorization': [[-1, 1], [2, 10], [71, 2]], 'field_poly': [8, -20, 25, -4, 0, 0, 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, 32, 0, 13, 0, 1]], [7, [64, 0, 80, 0, 25, 0, 1]], [11, [-64, -20, 4, 1]]], 'hecke_orbit': 11, 'hecke_orbit_code': 45036202465693400, 'hecke_ring_generator_nbound': 13, 'hecke_ring_index': 8, 'hecke_ring_index_factorization': [[2, 3]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 2, 1, 2, 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': '3800.2.d.k', 'level': 3800, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5, 19], 'level_radical': 190, 'minimal_twist': '760.2.a.h', 'nf_label': '6.0.5161984.1', 'prim_orbit_index': 2, 'qexp_display': 'q+\\beta _{4}q^{3}+(\\beta _{3}-\\beta _{5})q^{7}+(-1-\\beta _{2}+\\cdots)q^{9}+\\cdots', 'related_objects': [], 'relative_dim': 6, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '3800.2.d', 'trace_display': [0, 0, 0, 0], 'trace_hash': 343983158278237453, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.051', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.617', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.745', 'prec': 17}, {'__RealLiteral__': 0, 'data': '186.147', 'prec': 24}, {'__RealLiteral__': 0, 'data': '160.485', 'prec': 24}, {'__RealLiteral__': 0, 'data': '9509.608', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.511', 'prec': 17}, 'traces': [6, 0, 0, 0, 0, 0, 0, 0, -8, 0, -8, 0, 0, 0, 0, 0, 0, 0, 6, 0, -6, 0, 0, 0, 0, 0, 0, 0, -6, 0, -28, 0, 0, 0, 0, 0, 0, 0, 10, 0, -20, 0, 0, 0, 0, 0, 0, 0, -8, 0, -2, 0, 0, 0, 0, 0, 0, 0, 14, 0, 40, 0, 0, 0, 0, 0, 0, 0, -66, 0, -16, 0, 0, 0, 0, 0, 0, 0, -28, 0, 30, 0, 0, 0, 0, 0, 0, 0, -36, 0, -74, 0, 0, 0, 0, 0, 0, 0, -72, 0, -8, 0, 0, 0, 0, 0, 0, 0, 22, 0, -44, 0, 0, 0, 0, 0, 0, 0, -70, 0, 46, 0, 0, 0, 0, 0, 0, 0, -20, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 8, 0, 52, 0, 0, 0, 0, 0, 0, 0, 2, 0, -22, 0, 0, 0, 0, 0, 0, 0, -60, 0, -8, 0, 0, 0, 0, 0, 0, 0, -16, 0, 132, 0, 0, 0, 0, 0, 0, 0, -78, 0, -22, 0, 0, 0, 0, 0, 0, 0, -10, 0, -38, 0, 0, 0, 0, 0, 0, 0, -8, 0, 26, 0, 0, 0, 0, 0, 0, 0, -82, 0, -94, 0, 0, 0, 0, 0, 0, 0, -92, 0, 128, 0, 0, 0, 0, 0, 0, 0, 78, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36, 0, -40, 0, 0, 0, 0, 0, 0, 0, 4, 0, -36, 0, 0, 0, 0, 0, 0, 0, 28, 0, 26, 0, 0, 0, 0, 0, 0, 0, 8, 0, -76, 0, 0, 0, 0, 0, 0, 0, -12, 0, -164, 0, 0, 0, 0, 0, 0, 0, -14, 0, 148, 0, 0, 0, 0, 0, 0, 0, -72, 0, -78, 0, 0, 0, 0, 0, 0, 0, -48, 0, 38, 0, 0, 0, 0, 0, 0, 0, 48, 0, -2, 0, 0, 0, 0, 0, 0, 0, -104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, -134, 0, 0, 0, 0, 0, 0, 0, -6, 0, 6, 0, 0, 0, 0, 0, 0, 0, 80, 0, -34, 0, 0, 0, 0, 0, 0, 0, 46, 0, 20, 0, 0, 0, 0, 0, 0, 0, -8, 0, 14, 0, 0, 0, 0, 0, 0, 0, -6, 0, -52, 0, 0, 0, 0, 0, 0, 0, -44, 0, 6, 0, 0, 0, 0, 0, 0, 0, 84, 0, 46, 0, 0, 0, 0, 0, 0, 0, 208, 0, -104, 0, 0, 0, 0, 0, 0, 0, 44, 0, -28, 0, 0, 0, 0, 0, 0, 0, -4, 0, -112, 0, 0, 0, 0, 0, 0, 0, -154, 0, -28, 0, 0, 0, 0, 0, 0, 0, 102, 0, 12, 0, 0, 0, 0, 0, 0, 0, -8, 0, -4, 0, 0, 0, 0, 0, 0, 0, 140, 0, 124, 0, 0, 0, 0, 0, 0, 0, -12, 0, -4, 0, 0, 0, 0, 0, 0, 0, 44, 0, 106, 0, 0, 0, 0, 0, 0, 0, 20, 0, -72, 0, 0, 0, 0, 0, 0, 0, -88, 0, -4, 0, 0, 0, 0, 0, 0, 0, 168, 0, 72, 0, 0, 0, 0, 0, 0, 0, 112, 0, -6, 0, 0, 0, 0, 0, 0, 0, 276, 0, 224, 0, 0, 0, 0, 0, 0, 0, -8, 0, 12, 0, 0, 0, 0, 0, 0, 0, 164, 0, 20, 0, 0, 0, 0, 0, 0, 0, -28, 0, 4, 0, 0, 0, 0, 0, 0, 0, -28, 0, -44, 0, 0, 0, 0, 0, 0, 0, -150, 0, 128, 0, 0, 0, 0, 0, 0, 0, -24, 0, 182, 0, 0, 0, 0, 0, 0, 0, 60, 0, 24, 0, 0, 0, 0, 0, 0, 0, -144, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, -76, 0, 0, 0, 0, 0, 0, 0, -30, 0, 50, 0, 0, 0, 0, 0, 0, 0, 124, 0, -256, 0, 0, 0, 0, 0, 0, 0, -52, 0, 170, 0, 0, 0, 0, 0, 0, 0, -98, 0, -20, 0, 0, 0, 0, 0, 0, 0, -44, 0, 96, 0, 0, 0, 0, 0, 0, 0, -84, 0, -104, 0, 0, 0, 0, 0, 0, 0, 150, 0, 32, 0, 0, 0, 0, 0, 0, 0, -14, 0, 188, 0, 0, 0, 0, 0, 0, 0, 156, 0, 10, 0, 0, 0, 0, 0, 0, 0, -102, 0, 124, 0, 0, 0, 0, 0, 0, 0, -160, 0, 86, 0, 0, 0, 0, 0, 0, 0, 78, 0, 52, 0, 0, 0, 0, 0, 0, 0, -20, 0, 224, 0, 0, 0, 0, 0, 0, 0, -32, 0, 32, 0, 0, 0, 0, 0, 0, 0, 48, 0, -64, 0, 0, 0, 0, 0, 0, 0, 38, 0, 86, 0, 0, 0, 0, 0, 0, 0, 60, 0, -168, 0, 0, 0, 0, 0, 0, 0, 54, 0, -120, 0, 0, 0, 0, 0, 0, 0, -48, 0, 132, 0, 0, 0, 0, 0, 0, 0, -116, 0, -196, 0, 0, 0, 0, 0, 0, 0, -16, 0, -204, 0, 0, 0, 0, 0, 0, 0, 64, 0, 246, 0, 0, 0, 0, 0, 0, 0, 270, 0, 36, 0, 0, 0, 0, 0, 0, 0, 164, 0, 200, 0, 0, 0, 0, 0, 0, 0, 228, 0, -6, 0, 0, 0, 0, 0, 0, 0, 176, 0, 80, 0, 0, 0, 0, 0, 0, 0, 66, 0, -192, 0, 0, 0, 0, 0, 0, 0, -98, 0, -8, 0, 0, 0, 0, 0, 0, 0, -74, 0, -58, 0, 0, 0, 0, 0, 0, 0, 242, 0, -182, 0, 0, 0, 0, 0, 0, 0, -110, 0, 78, 0, 0, 0, 0, 0, 0, 0, -2, 0, 8, 0, 0, 0, 0, 0, 0, 0, 112, 0, -380, 0, 0, 0, 0, 0, 0, 0, 28, 0, -60, 0, 0, 0, 0, 0, 0, 0, 204, 0, 256, 0, 0, 0, 0, 0, 0, 0, -24, 0, 132, 0, 0, 0, 0, 0, 0, 0, -78, 0, -106, 0, 0, 0, 0, 0, 0, 0, 242, 0, 184, 0, 0, 0, 0, 0, 0, 0, 28, 0, -156, 0, 0, 0, 0, 0, 0, 0, -44, 0, -100, 0, 0, 0, 0, 0, 0, 0, -58, 0, -132, 0, 0, 0, 0, 0, 0, 0, -124, 0, 84, 0, 0, 0, 0, 0, 0, 0, -28, 0, -16, 0, 0, 0, 0, 0, 0, 0, -120, 0, -162, 0, 0, 0, 0, 0, 0, 0, 52, 0, 144, 0, 0, 0, 0, 0, 0, 0, -20, 0, -192, 0, 0, 0, 0, 0, 0, 0, 118, 0, 14, 0, 0, 0, 0, 0, 0, 0, 0, 0, -222, 0, 0, 0, 0, 0, 0, 0, 98, 0, 116, 0, 0, 0, 0, 0, 0, 0, 232, 0, 58, 0, 0, 0, 0, 0, 0, 0, 40, 0, 268, 0, 0, 0, 0, 0, 0, 0, -244, 0, 88, 0, 0, 0, 0, 0, 0, 0, 32, 0, -126, 0, 0, 0, 0, 0, 0, 0, 276, 0, 136, 0, 0, 0, 0, 0, 0, 0, 144, 0, -86, 0, 0, 0, 0, 0, 0, 0, -188, 0, 116, 0, 0, 0, 0, 0, 0, 0, -86, 0, -208, 0, 0, 0, 0, 0, 0, 0, -36, 0, 64, 0, 0, 0, 0, 0, 0, 0, 38, 0, 158, 0, 0, 0, 0, 0, 0, 0, 92, 0, 248, 0, 0, 0, 0, 0, 0, 0, 60, 0, 84, 0, 0, 0, 0, 0, 0, 0, 112, 0, 264, 0, 0, 0, 0, 0, 0, 0, 22, 0, -280, 0, 0, 0, 0, 0, 0, 0, -138, 0, 42, 0, 0, 0, 0, 0, 0, 0, 144, 0, -152, 0, 0, 0, 0, 0, 0, 0, 288, 0, -66, 0, 0, 0, 0, 0, 0, 0, -116, 0, -96, 0, 0, 0, 0, 0, 0, 0, 48, 0, -48, 0, 0, 0, 0, 0, 0, 0, 104, 0, -176, 0, 0, 0, 0, 0, 0, 0, -16, 0, 52, 0, 0, 0, 0, 0, 0, 0, -152, 0, -108, 0, 0, 0, 0, 0, 0, 0, 14, 0, -126, 0, 0, 0, 0, 0, 0, 0, -20, 0, 4, 0, 0, 0, 0, 0, 0, 0, 272, 0, -246, 0, 0, 0, 0, 0, 0, 0, -92, 0, -176, 0, 0, 0, 0, 0, 0, 0, -96, 0, 124, 0, 0, 0, 0, 0, 0, 0, -416, 0, -348, 0, 0, 0, 0, 0, 0, 0, -68, 0, 18, 0, 0, 0, 0, 0, 0, 0, -176, 0, 32, 0, 0, 0, 0, 0, 0, 0, -204, 0, 100, 0, 0, 0, 0, 0, 0, 0, -90, 0, 140, 0, 0, 0, 0, 0, 0, 0, 56, 0, 8, 0, 0, 0, 0, 0, 0, 0, -210, 0, -4, 0, 0, 0, 0, 0, 0, 0, -116, 0, 256, 0, 0, 0, 0, 0, 0, 0, -60, 0, -28, 0, 0, 0, 0, 0, 0, 0, -10, 0, 308, 0, 0, 0, 0, 0, 0, 0, -200, 0, 12, 0, 0, 0, 0, 0, 0, 0, -304, 0, 144, 0, 0, 0, 0, 0, 0, 0, 30, 0, 34, 0, 0, 0, 0, 0, 0, 0, 106, 0, -160, 0, 0, 0, 0, 0, 0, 0, 32, 0, -228, 0, 0, 0, 0, 0, 0, 0, -270, 0, -32, 0, 0, 0, 0, 0, 0, 0, -64, 0, -132, 0, 0, 0, 0, 0, 0, 0, -58, 0, 8, 0, 0, 0, 0, 0, 0, 0, -396, 0, 86, 0, 0, 0, 0, 0, 0, 0, 272, 0, -32, 0, 0, 0, 0, 0, 0, 0, -104, 0, 60, 0, 0, 0, 0, 0, 0, 0, -176, 0, -100, 0, 0, 0, 0, 0, 0, 0, 192, 0, -192, 0, 0, 0, 0, 0, 0, 0, -76, 0, 300, 0, 0, 0, 0, 0, 0, 0, -60, 0, 32, 0, 0, 0, 0, 0, 0, 0, 268, 0, 352, 0, 0, 0, 0, 0, 0, 0, -162, 0, 130, 0, 0, 0, 0, 0, 0, 0, -224, 0, -36, 0, 0, 0, 0, 0, 0, 0, -306, 0, 80, 0, 0, 0, 0, 0, 0, 0, -106, 0, -114, 0, 0, 0, 0, 0, 0, 0, -204, 0, 230, 0, 0, 0, 0, 0, 0, 0, -74, 0, 150, 0, 0, 0, 0, 0, 0, 0, 16, 0, -226, 0, 0, 0, 0, 0, 0, 0, 16, 0, 64, 0, 0, 0, 0, 0, 0, 0, 26, 0, -300, 0, 0, 0, 0, 0, 0, 0, 72, 0, 352, 0, 0, 0, 0, 0, 0, 0, -4, 0, -134, 0, 0, 0, 0, 0, 0, 0, 10, 0, -308, 0, 0, 0, 0, 0, 0, 0, 68, 0, 16, 0, 0, 0, 0, 0, 0, 0, 170, 0, -368, 0, 0, 0, 0, 0, 0, 0, -98, 0, 140, 0, 0, 0, 0, 0, 0, 0, -132, 0, 114, 0, 0, 0, 0, 0, 0, 0, -128, 0, 256, 0, 0, 0, 0, 0, 0, 0, -294, 0, -300, 0, 0, 0, 0, 0, 0, 0, 200, 0, -50, 0, 0, 0, 0, 0, 0, 0, 52, 0, -128, 0, 0, 0, 0, 0, 0, 0, 34, 0, -72, 0, 0, 0, 0, 0, 0, 0, -132, 0, -112, 0, 0, 0, 0, 0, 0, 0, 116, 0, -40, 0, 0, 0, 0, 0, 0, 0, -260, 0, 420, 0, 0, 0, 0, 0, 0, 0, -8, 0, 144, 0, 0, 0, 0, 0, 0, 0, -20, 0, -280, 0, 0, 0, 0, 0, 0, 0, -216, 0, 10, 0, 0, 0, 0, 0, 0, 0, -100, 0, 164, 0, 0, 0, 0, 0, 0, 0, -56, 0, -116, 0, 0, 0, 0, 0, 0, 0, 160, 0, 374, 0, 0, 0, 0, 0, 0, 0, -38, 0, -124, 0, 0, 0, 0, 0, 0, 0, 228, 0, -176, 0, 0, 0, 0, 0, 0, 0, -26, 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, 1.8041534382878135], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.5726683535189908], [0.0, 0.0], [-2.2549696288857395, 0.0], [0.0, 0.0], [1.2813541199738048, 0.0], [0.0, 0.0], [0.0, -1.1524344535874054], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -0.8525462033492015], [0.0, 0.0], [0.22941573387056177, 0.0], [0.0, 0.0], [1.0331815789999086, 0.0], [0.0, 0.0], [0.0, 1.8212968387112214], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -2.2641577709009884], [0.0, 0.0], [-0.2701098129232162, 0.0], [0.0, 0.0], [-0.8925887630808091, 0.0], [0.0, 0.0], [0.0, 2.3117594412149955], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 1.2510347617110444], [0.0, 0.0], [2.079168581841055, 0.0], [0.0, 0.0], [-1.4398431770815214, 0.0], [0.0, 0.0], [0.0, 1.2673123807784403], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.7701740011050755], [0.0, 0.0], [0.6720509568778481, 0.0], [0.0, 0.0], [1.5381241640716834, 0.0], [0.0, 0.0], [0.0, -0.02131307306901786], [0.0, 0.0], [0.0, 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[0.0, 0.0], [3.9869076195554727, 0.0], [0.0, 0.0], [0.0, 0.46866605963179614], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -1.061612683365033], [0.0, 0.0], [-0.02708304402167359, 0.0], [0.0, 0.0], [0.32234895279304765, 0.0], [0.0, 0.0], [0.0, 1.3364499839820745], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.8672325907864885], [0.0, 0.0], [2.215515818893626, 0.0], [0.0, 0.0], [2.0953306366216804, 0.0], [0.0, 0.0], [0.0, 1.3668624794983648], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -1.4525670873363514], [0.0, 0.0], [0.3314006580344572, 0.0], [0.0, 0.0]], 'angles': [None, 0.17897888822844482, None, -0.45378162429120794, -0.13932687582537642, -0.4022641111947755, -0.42991312989831365, None, 0.18220864617860258, -0.2715605413168734, -0.3236282852830067, 0.10755603309789755, -0.37791113061745224, 0.109223299243945, 0.0629142818579177, -0.49830392743175983, -0.22414297274315323, -0.29650407234269993, 0.07503342991119916, -0.16586515072460156, 0.1713761634532666, -0.24722148557687054, 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-0.16119672572592078, 0.0030434012822249034, 0.003769632171370099, 0.07405268542120307, -0.29752884126145596, -0.18961348588148122, -0.4519721193249838, 0.026502149958013116, -0.3664539901223813, -0.3173773760248854, -0.19537927806446875, -0.42532233309435535, -0.17128769580353045, 0.06541169934156149, -0.4262235746927158, -0.12898884263862884, 0.04697978478926447, -0.23508276623450672, 0.11908718446205453, -0.1860307017036019, -0.1185925736212223, -0.33316990242142996, 0.08215347591474706, 0.0293024688091099, -0.18303732197841358, -0.15456289238190793, -0.32836718661072906, 0.040619028690118957, -0.30573296932262367, -0.3028252546736147, -0.22839432924561204, -0.3914654658596108, -0.4857400253465281, -0.16568980107784878, 0.10458322619945154, -0.4160470759915829, -0.3639673048552077, 0.07980671339849234, 0.07640799490367398, -0.31355488926325376, -0.23192458803246635, -0.23376357223758568, -0.3810189138603302, -0.46831831723834055, -0.32040815134596196, 0.019128440257114545, 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-0.12815897129767712, -0.4615008733007594, -0.1501508667844616, -0.2793328650334751, 0.005270900186437713, 0.07507044417191855, 0.1532901466501236, 0.02654794460278603, -0.4619225897036351, -0.10004066252662104, 0.1327853043465897, 0.010633377687311969, -0.3802871704657062, -0.2786194001934778, -0.10709166152685333, -0.3957734950456259, 0.04448528083335657, -0.3336875040501646, -0.4072372792476669, 0.06430847564005703, -0.2414863962165525, -0.4493148953837946, -0.4806222374654751, -0.49159880555382646, -0.30986546281062965, -0.2144336181431351, -0.3921612106252371, 0.05964635046355061, -0.23172788426982582, -0.3350285285297292, -0.2920030850617622, 0.021243371622481657, -0.3383878037357312, 0.060164277835918066, -0.4583317432171157, -0.35792007739410203, -0.18877821124818933, -0.34543272981689194, 0.05989428868944464, 0.08642288230707702, -0.2248352238435459, 0.08080721569477023, -0.32833895292061255, -0.10655357177057742, 0.03764530676736732, -0.2521552660379696, 0.07138133122865736, 0.11975654888287335, -0.3706229763342205, -0.223505776634632], 'char_orbit_index': 4, 'conrey_index': 3649, 'dual_conrey_index': 3649, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 6, 'embedding_m': 6, 'embedding_root_imag': -1.3200117334463224, 'embedding_root_real': 1.3200117334463224, 'hecke_orbit': 11, 'hecke_orbit_code': 45036202465693400, 'label': '3800.2.d.k.3649.6', 'level': 3800, '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': 15200, 'analytic_conductor': 30.343152768086547, 'char_conductor': 5, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 4, 'char_orbit_label': 'd', 'char_order': 2, 'char_parity': 1, 'char_values': [3800, 2, [951, 1901, 1977, 401], [2, 2, 1, 2]], 'conrey_index': 3649, 'cusp_dim': 576, 'dim': 82, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 7, 11], 'hecke_orbit_code': 206191988440, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 4, 4, 6, 6, 6, 6, 6, 6, 12, 12], 'label': '3800.2.d', 'level': 3800, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5, 19], 'level_radical': 190, 'mf_dim': 624, 'mf_new_dim': 82, 'num_forms': 17, 'prim_orbit_index': 2, 'relative_dim': 82, 'sturm_bound': 1200, 'trace_bound': 19, 'trace_display': [0, 0, 0, 0], 'traces': [82, 0, 0, 0, 0, 0, 0, 0, -78, 0, -12, 0, 0, 0, 0, 0, 0, 0, 6, 0, 16, 0, 0, 0, 0, 0, 0, 0, -28, 0, -8, 0, 0, 0, 0, 0, 0, 0, -32, 0, -4, 0, 0, 0, 0, 0, 0, 0, -42, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 8, 0, 48, 0, 0, 0, 0, 0, 0, 0, -16, 0, 98, 0, 0, 0, 0, 0, 0, 0, -12, 0, 32, 0, 0, 0, 0, 0, 0, 0, -52, 0, -4, 0, 0, 0, 0, 0, 0, 0, 44, 0, -40, 0, 0, 0, 0, 0, 0, 0, -36, 0, 102, 0, 0, 0, 0, 0, 0, 0, -32, 0, -4, 0, 0, 0, 0, 0, 0, 0, 36, 0, 104, 0, 0, 0, 0, 0, 0, 0, -40, 0, 72, 0, 0, 0, 0, 0, 0, 0, -96, 0, 112, 0, 0, 0, 0, 0, 0, 0, -122, 0, -30, 0, 0, 0, 0, 0, 0, 0, -80, 0, 76, 0, 0, 0, 0, 0, 0, 0, -152, 0, -8, 0, 0, 0, 0, 0, 0, 0, -40, 0, 120, 0, 0, 0, 0, 0, 0, 0, -20, 0, 48, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, -120, 0, 152, 0, 0, 0, 0, 0, 0, 0, 8, 0, -28, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, -184, 0, 140, 0, 0, 0, 0, 0, 0, 0, 68, 0, -44, 0, 0, 0, 0, 0, 0, 0, 88, 0, -68, 0, 0, 0, 0, 0, 0, 0, -62, 0, -160, 0, 0, 0, 0, 0, 0, 0, 8, 0, 68, 0, 0, 0, 0, 0, 0, 0, -16, 0, -64, 0, 0, 0, 0, 0, 0, 0, -128, 0, -144, 0, 0, 0, 0, 0, 0, 0, -20, 0, 104, 0, 0, 0, 0, 0, 0, 0, 192, 0, -32, 0, 0, 0, 0, 0, 0, 0, -24, 0, -88, 0, 0, 0, 0, 0, 0, 0, -112, 0, 82, 0, 0, 0, 0, 0, 0, 0, 100, 0, -40, 0, 0, 0, 0, 0, 0, 0, -80, 0, 16, 0, 0, 0, 0, 0, 0, 0, -8, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, 0, 0, 0, 36, 0, -120, 0, 0, 0, 0, 0, 0, 0, 288, 0, -52, 0, 0, 0, 0, 0, 0, 0, 56, 0, 160, 0, 0, 0, 0, 0, 0, 0, 0, 0, -74, 0, 0, 0, 0, 0, 0, 0, 92, 0, 144, 0, 0, 0, 0, 0, 0, 0, -168, 0, 224, 0, 0, 0, 0, 0, 0, 0, 88, 0, 88, 0, 0, 0, 0, 0, 0, 0, -20, 0, 112, 0, 0, 0, 0, 0, 0, 0, -104, 0, -208, 0, 0, 0, 0, 0, 0, 0, 76, 0, -144, 0, 0, 0, 0, 0, 0, 0, 180, 0, 212, 0, 0, 0, 0, 0, 0, 0, 24, 0, -84, 0, 0, 0, 0, 0, 0, 0, -134, 0, -416, 0, 0, 0, 0, 0, 0, 0, 336, 0, 136, 0, 0, 0, 0, 0, 0, 0, 200, 0, -8, 0, 0, 0, 0, 0, 0, 0, -48, 0, 16, 0, 0, 0, 0, 0, 0, 0, -36, 0, 80, 0, 0, 0, 0, 0, 0, 0, 288, 0, 8, 0, 0, 0, 0, 0, 0, 0, -16, 0, -176, 0, 0, 0, 0, 0, 0, 0, 96, 0, -4, 0, 0, 0, 0, 0, 0, 0, 144, 0, 184, 0, 0, 0, 0, 0, 0, 0, -40, 0, -424, 0, 0, 0, 0, 0, 0, 0, 32, 0, 176, 0, 0, 0, 0, 0, 0, 0, 16, 0, -28, 0, 0, 0, 0, 0, 0, 0, 32, 0, -376, 0, 0, 0, 0, 0, 0, 0, -304, 0, -132, 0, 0, 0, 0, 0, 0, 0, 392, 0, -180, 0, 0, 0, 0, 0, 0, 0, 80, 0, 48, 0, 0, 0, 0, 0, 0, 0, -80, 0, 12, 0, 0, 0, 0, 0, 0, 0, -112, 0, -28, 0, 0, 0, 0, 0, 0, 0, -84, 0, -120, 0, 0, 0, 0, 0, 0, 0, 200, 0, -128, 0, 0, 0, 0, 0, 0, 0, -78, 0, -188, 0, 0, 0, 0, 0, 0, 0, 60, 0, 24, 0, 0, 0, 0, 0, 0, 0, 160, 0, -24, 0, 0, 0, 0, 0, 0, 0, 128, 0, -180, 0, 0, 0, 0, 0, 0, 0, -20, 0, 88, 0, 0, 0, 0, 0, 0, 0, 60, 0, 88, 0, 0, 0, 0, 0, 0, 0, -48, 0, -120, 0, 0, 0, 0, 0, 0, 0, -116, 0, -252, 0, 0, 0, 0, 0, 0, 0, 20, 0, 264, 0, 0, 0, 0, 0, 0, 0, 32, 0, -248, 0, 0, 0, 0, 0, 0, 0, 92, 0, -128, 0, 0, 0, 0, 0, 0, 0, 56, 0, 298, 0, 0, 0, 0, 0, 0, 0, 288, 0, -8, 0, 0, 0, 0, 0, 0, 0, -60, 0, -72, 0, 0, 0, 0, 0, 0, 0, 200, 0, -96, 0, 0, 0, 0, 0, 0, 0, 320, 0, -44, 0, 0, 0, 0, 0, 0, 0, 376, 0, -244, 0, 0, 0, 0, 0, 0, 0, 200, 0, -64, 0, 0, 0, 0, 0, 0, 0, 36, 0, -248, 0, 0, 0, 0, 0, 0, 0, -340, 0, 56, 0, 0, 0, 0, 0, 0, 0, 184, 0, -74, 0, 0, 0, 0, 0, 0, 0, 288, 0, -292, 0, 0, 0, 0, 0, 0, 0, 144, 0, -140, 0, 0, 0, 0, 0, 0, 0, 224, 0, -54, 0, 0, 0, 0, 0, 0, 0, -24, 0, -152, 0, 0, 0, 0, 0, 0, 0, 88, 0, 196, 0, 0, 0, 0, 0, 0, 0, -72, 0, 320, 0, 0, 0, 0, 0, 0, 0, 228, 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: 47177147
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 3649, 'source_dim': 6, 'source_embedding_index': 6, 'source_hecke_orbit_code': 45036202465693400, 'source_is_minimal': False, 'source_label': '3800.2.d.k.3649.6', 'source_level': 3800, 'target_conrey_index': 3649, 'target_dim': 6, 'target_embedding_index': 6, 'target_hecke_orbit_code': 45036202465693400, 'target_is_minimal': False, 'target_label': '3800.2.d.k.3649.6', 'target_level': 3800, 'twist_class_label': '760.2.a.h.1.1', 'twist_class_level': 760, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 47177148
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 3649, 'source_dim': 6, 'source_embedding_index': 6, 'source_hecke_orbit_code': 45036202465693400, 'source_is_minimal': False, 'source_label': '3800.2.d.k.3649.6', 'source_level': 3800, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 108086391090450136, 'target_is_minimal': False, 'target_label': '3800.2.a.y.1.3', 'target_level': 3800, 'twist_class_label': '760.2.a.h.1.1', 'twist_class_level': 760, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 47177149
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 3649, 'source_dim': 6, 'source_embedding_index': 6, 'source_hecke_orbit_code': 45036202465693400, 'source_is_minimal': False, 'source_label': '3800.2.d.k.3649.6', 'source_level': 3800, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 31525197425148664, 'target_is_minimal': True, 'target_label': '760.2.a.h.1.1', 'target_level': 760, 'twist_class_label': '760.2.a.h.1.1', 'twist_class_level': 760, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 47177150
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 3649, 'source_dim': 6, 'source_embedding_index': 6, 'source_hecke_orbit_code': 45036202465693400, 'source_is_minimal': False, 'source_label': '3800.2.d.k.3649.6', 'source_level': 3800, 'target_conrey_index': 3649, 'target_dim': 6, 'target_embedding_index': 1, 'target_hecke_orbit_code': 45036202465693400, 'target_is_minimal': False, 'target_label': '3800.2.d.k.3649.1', 'target_level': 3800, 'twist_class_label': '760.2.a.h.1.1', 'twist_class_level': 760, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 47177151
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 3649, 'source_dim': 6, 'source_embedding_index': 6, 'source_hecke_orbit_code': 45036202465693400, 'source_is_minimal': False, 'source_label': '3800.2.d.k.3649.6', 'source_level': 3800, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 157625986991528632, 'target_is_minimal': False, 'target_label': '6840.2.a.bj.1.2', 'target_level': 6840, 'twist_class_label': '760.2.a.h.1.1', 'twist_class_level': 760, 'twisting_char_label': '15.8', 'twisting_conrey_index': 8, 'weight': 2}
  • id: 47177152
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 3649, 'source_dim': 6, 'source_embedding_index': 6, 'source_hecke_orbit_code': 45036202465693400, 'source_is_minimal': False, 'source_label': '3800.2.d.k.3649.6', 'source_level': 3800, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 76561193698854384, 'target_is_minimal': False, 'target_label': '1520.2.a.r.1.3', 'target_level': 1520, 'twist_class_label': '760.2.a.h.1.1', 'twist_class_level': 760, 'twisting_char_label': '20.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 47177153
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 3649, 'source_dim': 6, 'source_embedding_index': 6, 'source_hecke_orbit_code': 45036202465693400, 'source_is_minimal': False, 'source_label': '3800.2.d.k.3649.6', 'source_level': 3800, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 180143985128381872, 'target_is_minimal': False, 'target_label': '7600.2.a.bo.1.1', 'target_level': 7600, 'twist_class_label': '760.2.a.h.1.1', 'twist_class_level': 760, 'twisting_char_label': '20.7', 'twisting_conrey_index': 7, 'weight': 2}
  • id: 47177154
    {'conductor': 40, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 3649, 'source_dim': 6, 'source_embedding_index': 6, 'source_hecke_orbit_code': 45036202465693400, 'source_is_minimal': False, 'source_label': '3800.2.d.k.3649.6', 'source_level': 3800, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 198158383637862336, 'target_is_minimal': False, 'target_label': '6080.2.a.bs.1.1', 'target_level': 6080, 'twist_class_label': '760.2.a.h.1.1', 'twist_class_level': 760, 'twisting_char_label': '40.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 47177155
    {'conductor': 40, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 3649, 'source_dim': 6, 'source_embedding_index': 6, 'source_hecke_orbit_code': 45036202465693400, 'source_is_minimal': False, 'source_label': '3800.2.d.k.3649.6', 'source_level': 3800, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 216172782147344320, 'target_is_minimal': False, 'target_label': '6080.2.a.bw.1.3', 'target_level': 6080, 'twist_class_label': '760.2.a.h.1.1', 'twist_class_level': 760, 'twisting_char_label': '40.13', 'twisting_conrey_index': 13, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 3369950
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 45036202465693400, 'p': 2}
  • id: 3369951
    {'charpoly_factorization': [[[4, 0, 32, 0, 13, 0, 1], 1]], 'hecke_orbit_code': 45036202465693400, 'p': 3}
  • id: 3369952
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 45036202465693400, 'p': 5}
  • id: 3369953
    {'charpoly_factorization': [[[64, 0, 80, 0, 25, 0, 1], 1]], 'hecke_orbit_code': 45036202465693400, 'p': 7}
  • id: 3369954
    {'charpoly_factorization': [[[-64, -20, 4, 1], 2]], 'hecke_orbit_code': 45036202465693400, 'p': 11}
  • id: 3369955
    {'charpoly_factorization': [[[11236, 0, 1544, 0, 69, 0, 1], 1]], 'hecke_orbit_code': 45036202465693400, 'p': 13}
  • id: 3369956
    {'charpoly_factorization': [[[400, 0, 584, 0, 57, 0, 1], 1]], 'hecke_orbit_code': 45036202465693400, 'p': 17}
  • id: 3369957
    {'charpoly_factorization': [[[-1, 1], 6]], 'hecke_orbit_code': 45036202465693400, 'p': 19}
  • id: 3369958
    {'charpoly_factorization': [[[25600, 0, 3136, 0, 113, 0, 1], 1]], 'hecke_orbit_code': 45036202465693400, 'p': 23}
  • id: 3369959
    {'charpoly_factorization': [[[-108, -72, 3, 1], 2]], 'hecke_orbit_code': 45036202465693400, 'p': 29}
  • id: 3369960
    {'charpoly_factorization': [[[-64, 32, 14, 1], 2]], 'hecke_orbit_code': 45036202465693400, 'p': 31}
  • id: 3369961
    {'charpoly_factorization': [[[400, 0, 2676, 0, 104, 0, 1], 1]], 'hecke_orbit_code': 45036202465693400, 'p': 37}
  • id: 3369962
    {'charpoly_factorization': [[[-472, -44, 10, 1], 2]], 'hecke_orbit_code': 45036202465693400, 'p': 41}
  • id: 3369963
    {'charpoly_factorization': [[[719104, 0, 24704, 0, 276, 0, 1], 1]], 'hecke_orbit_code': 45036202465693400, 'p': 43}
  • id: 3369964
    {'charpoly_factorization': [[[4096, 0, 1600, 0, 80, 0, 1], 1]], 'hecke_orbit_code': 45036202465693400, 'p': 47}
  • id: 3369965
    {'charpoly_factorization': [[[4, 0, 168, 0, 77, 0, 1], 1]], 'hecke_orbit_code': 45036202465693400, 'p': 53}
  • id: 3369966
    {'charpoly_factorization': [[[8, 8, -7, 1], 2]], 'hecke_orbit_code': 45036202465693400, 'p': 59}
  • id: 3369967
    {'charpoly_factorization': [[[640, 32, -20, 1], 2]], 'hecke_orbit_code': 45036202465693400, 'p': 61}
  • id: 3369968
    {'charpoly_factorization': [[[280900, 0, 16896, 0, 269, 0, 1], 1]], 'hecke_orbit_code': 45036202465693400, 'p': 67}
  • id: 3369969
    {'charpoly_factorization': [[[-512, -80, 8, 1], 2]], 'hecke_orbit_code': 45036202465693400, 'p': 71}
  • id: 3369970
    {'charpoly_factorization': [[[250000, 0, 17096, 0, 297, 0, 1], 1]], 'hecke_orbit_code': 45036202465693400, 'p': 73}
  • id: 3369971
    {'charpoly_factorization': [[[16, -56, 14, 1], 2]], 'hecke_orbit_code': 45036202465693400, 'p': 79}
  • id: 3369972
    {'charpoly_factorization': [[[123904, 0, 18560, 0, 292, 0, 1], 1]], 'hecke_orbit_code': 45036202465693400, 'p': 83}
  • id: 3369973
    {'charpoly_factorization': [[[40, 68, 18, 1], 2]], 'hecke_orbit_code': 45036202465693400, 'p': 89}
  • id: 3369974
    {'charpoly_factorization': [[[5326864, 0, 102772, 0, 584, 0, 1], 1]], 'hecke_orbit_code': 45036202465693400, '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': 4, 'hecke_orbit': 11, 'label': '3800.2.d.k', 'level': 3800, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 55449337
    {'hecke_orbit_code': 45036202465693400, 'n': 1, 'trace_an': 6}
  • id: 55449338
    {'hecke_orbit_code': 45036202465693400, 'n': 2, 'trace_an': 0}
  • id: 55449339
    {'hecke_orbit_code': 45036202465693400, 'n': 3, 'trace_an': 0}
  • id: 55449340
    {'hecke_orbit_code': 45036202465693400, 'n': 4, 'trace_an': 0}
  • id: 55449341
    {'hecke_orbit_code': 45036202465693400, 'n': 5, 'trace_an': 0}
  • id: 55449342
    {'hecke_orbit_code': 45036202465693400, 'n': 6, 'trace_an': 0}
  • id: 55449343
    {'hecke_orbit_code': 45036202465693400, 'n': 7, 'trace_an': 0}
  • id: 55449344
    {'hecke_orbit_code': 45036202465693400, 'n': 8, 'trace_an': 0}
  • id: 55449345
    {'hecke_orbit_code': 45036202465693400, 'n': 9, 'trace_an': -8}
  • id: 55449346
    {'hecke_orbit_code': 45036202465693400, 'n': 10, 'trace_an': 0}
  • id: 55449347
    {'hecke_orbit_code': 45036202465693400, 'n': 11, 'trace_an': -8}
  • id: 55449348
    {'hecke_orbit_code': 45036202465693400, 'n': 12, 'trace_an': 0}
  • id: 55449349
    {'hecke_orbit_code': 45036202465693400, 'n': 13, 'trace_an': 0}
  • id: 55449350
    {'hecke_orbit_code': 45036202465693400, 'n': 14, 'trace_an': 0}
  • id: 55449351
    {'hecke_orbit_code': 45036202465693400, 'n': 15, 'trace_an': 0}
  • id: 55449352
    {'hecke_orbit_code': 45036202465693400, 'n': 16, 'trace_an': 0}
  • id: 55449353
    {'hecke_orbit_code': 45036202465693400, 'n': 17, 'trace_an': 0}
  • id: 55449354
    {'hecke_orbit_code': 45036202465693400, 'n': 18, 'trace_an': 0}
  • id: 55449355
    {'hecke_orbit_code': 45036202465693400, 'n': 19, 'trace_an': 6}
  • id: 55449356
    {'hecke_orbit_code': 45036202465693400, 'n': 20, 'trace_an': 0}
  • id: 55449357
    {'hecke_orbit_code': 45036202465693400, 'n': 21, 'trace_an': -6}
  • id: 55449358
    {'hecke_orbit_code': 45036202465693400, 'n': 22, 'trace_an': 0}
  • id: 55449359
    {'hecke_orbit_code': 45036202465693400, 'n': 23, 'trace_an': 0}
  • id: 55449360
    {'hecke_orbit_code': 45036202465693400, 'n': 24, 'trace_an': 0}
  • id: 55449361
    {'hecke_orbit_code': 45036202465693400, 'n': 25, 'trace_an': 0}
  • id: 55449362
    {'hecke_orbit_code': 45036202465693400, 'n': 26, 'trace_an': 0}
  • id: 55449363
    {'hecke_orbit_code': 45036202465693400, 'n': 27, 'trace_an': 0}
  • id: 55449364
    {'hecke_orbit_code': 45036202465693400, 'n': 28, 'trace_an': 0}
  • id: 55449365
    {'hecke_orbit_code': 45036202465693400, 'n': 29, 'trace_an': -6}
  • id: 55449366
    {'hecke_orbit_code': 45036202465693400, 'n': 30, 'trace_an': 0}
  • id: 55449367
    {'hecke_orbit_code': 45036202465693400, 'n': 31, 'trace_an': -28}
  • id: 55449368
    {'hecke_orbit_code': 45036202465693400, 'n': 32, 'trace_an': 0}
  • id: 55449369
    {'hecke_orbit_code': 45036202465693400, 'n': 33, 'trace_an': 0}
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  • id: 55449564
    {'hecke_orbit_code': 45036202465693400, 'n': 809, 'trace_an': 38}
  • id: 55449565
    {'hecke_orbit_code': 45036202465693400, 'n': 811, 'trace_an': 86}
  • id: 55449566
    {'hecke_orbit_code': 45036202465693400, 'n': 821, 'trace_an': -168}
  • id: 55449567
    {'hecke_orbit_code': 45036202465693400, 'n': 823, 'trace_an': 0}
  • id: 55449568
    {'hecke_orbit_code': 45036202465693400, 'n': 827, 'trace_an': 0}
  • id: 55449569
    {'hecke_orbit_code': 45036202465693400, 'n': 829, 'trace_an': 54}
  • id: 55449570
    {'hecke_orbit_code': 45036202465693400, 'n': 839, 'trace_an': -48}
  • id: 55449571
    {'hecke_orbit_code': 45036202465693400, 'n': 841, 'trace_an': 132}
  • id: 55449572
    {'hecke_orbit_code': 45036202465693400, 'n': 853, 'trace_an': 0}
  • id: 55449573
    {'hecke_orbit_code': 45036202465693400, 'n': 857, 'trace_an': 0}
  • id: 55449574
    {'hecke_orbit_code': 45036202465693400, 'n': 859, 'trace_an': -16}
  • id: 55449575
    {'hecke_orbit_code': 45036202465693400, 'n': 863, 'trace_an': 0}
  • id: 55449576
    {'hecke_orbit_code': 45036202465693400, 'n': 877, 'trace_an': 0}
  • id: 55449577
    {'hecke_orbit_code': 45036202465693400, 'n': 881, 'trace_an': 36}
  • id: 55449578
    {'hecke_orbit_code': 45036202465693400, 'n': 883, 'trace_an': 0}
  • id: 55449579
    {'hecke_orbit_code': 45036202465693400, 'n': 887, 'trace_an': 0}
  • id: 55449580
    {'hecke_orbit_code': 45036202465693400, 'n': 907, 'trace_an': 0}
  • id: 55449581
    {'hecke_orbit_code': 45036202465693400, 'n': 911, 'trace_an': 80}
  • id: 55449582
    {'hecke_orbit_code': 45036202465693400, 'n': 919, 'trace_an': 66}
  • id: 55449583
    {'hecke_orbit_code': 45036202465693400, 'n': 929, 'trace_an': -98}
  • id: 55449584
    {'hecke_orbit_code': 45036202465693400, 'n': 937, 'trace_an': 0}
  • id: 55449585
    {'hecke_orbit_code': 45036202465693400, 'n': 941, 'trace_an': -58}
  • id: 55449586
    {'hecke_orbit_code': 45036202465693400, 'n': 947, 'trace_an': 0}
  • id: 55449587
    {'hecke_orbit_code': 45036202465693400, 'n': 953, 'trace_an': 0}
  • id: 55449588
    {'hecke_orbit_code': 45036202465693400, 'n': 961, 'trace_an': 78}
  • id: 55449589
    {'hecke_orbit_code': 45036202465693400, 'n': 967, 'trace_an': 0}
  • id: 55449590
    {'hecke_orbit_code': 45036202465693400, 'n': 971, 'trace_an': 8}
  • id: 55449591
    {'hecke_orbit_code': 45036202465693400, 'n': 977, 'trace_an': 0}
  • id: 55449592
    {'hecke_orbit_code': 45036202465693400, 'n': 983, 'trace_an': 0}
  • id: 55449593
    {'hecke_orbit_code': 45036202465693400, 'n': 991, 'trace_an': -60}
  • id: 55449594
    {'hecke_orbit_code': 45036202465693400, 'n': 997, 'trace_an': 0}