Newform data - 2816.2.g.g

Formats: - HTML - YAML - JSON - 2026-08-26T12:36:59.492636

• 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': 11264, 'analytic_conductor': 22.485873209192555, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 88, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 7, 'char_orbit_label': 'g', 'char_order': 2, 'char_parity': 1, 'char_values': [2816, 2, [2047, 1541, 1025], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1407, 'dim': 12, 'field_disc': 84059247178153984, 'field_disc_factorization': [[2, 18], [11, 2], [51479, 2]], 'field_poly': [73, -114, 65, -32, 115, 34, -176, 98, 19, -40, 21, -6, 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, -22, 21, 16, -10, -2, 1]], [7, [64, 112, -12, -72, -16, 4, 1]]], 'hecke_orbit': 7, 'hecke_orbit_code': 27022010114640640, 'hecke_ring_generator_nbound': 11, 'hecke_ring_index': 128, 'hecke_ring_index_factorization': [[2, 7]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 88, 7, 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': '2816.2.g.g', 'level': 2816, '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, 11], 'level_radical': 22, 'minimal_twist': '1408.2.e.a', 'prim_orbit_index': 7, 'qexp_display': 'q+\\beta _{3}q^{3}+\\beta _{7}q^{5}+(-1-\\beta _{4})q^{7}+(1+\\cdots)q^{9}+\\cdots', 'related_objects': [], 'relative_dim': 12, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2816.2.g', 'trace_display': [0, 4, 0, -8], 'trace_hash': 1226349024174607140, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.076', 'prec': 7}, {'__RealLiteral__': 0, 'data': '10.727', 'prec': 17}, {'__RealLiteral__': 0, 'data': '14.590', 'prec': 17}, {'__RealLiteral__': 0, 'data': '574.165', 'prec': 20}, {'__RealLiteral__': 0, 'data': '1602.181', 'prec': 24}, {'__RealLiteral__': 0, 'data': '43780.593', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.506', 'prec': 10}, 'traces': [12, 0, 4, 0, 0, 0, -8, 0, 12, 0, -6, 0, 4, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, -12, 0, 16, 0, -36, 0, 0, 0, 4, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 4, 0, 0, 0, -20, 0, 28, 0, -40, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, -52, 0, -24, 0, -16, 0, 4, 0, 0, 0, -56, 0, -72, 0, 0, 0, 16, 0, 0, 0, 24, 0, 16, 0, -38, 0, -12, 0, 0, 0, 0, 0, 0, 0, -68, 0, 0, 0, 8, 0, 80, 0, 44, 0, 0, 0, -8, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 36, 0, 0, 0, 20, 0, -76, 0, 104, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, -52, 0, 88, 0, -8, 0, 28, 0, 0, 0, 76, 0, 136, 0, -16, 0, -28, 0, 0, 0, -8, 0, 40, 0, -56, 0, 40, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, 0, -16, 0, 128, 0, -88, 0, 0, 0, 4, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, -96, 0, 0, 0, 40, 0, 96, 0, -80, 0, 0, 0, 52, 0, 0, 0, 0, 0, 0, 0, -36, 0, -60, 0, 0, 0, 16, 0, 0, 0, -212, 0, -136, 0, -16, 0, -48, 0, 0, 0, 64, 0, 32, 0, -94, 0, -84, 0, 0, 0, 0, 0, 0, 0, -104, 0, 0, 0, -20, 0, 144, 0, -12, 0, 0, 0, -16, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 68, 0, 0, 0, -32, 0, -4, 0, 168, 0, 0, 0, 92, 0, 0, 0, 0, 0, 0, 0, -176, 0, 100, 0, 32, 0, 56, 0, 0, 0, 196, 0, 160, 0, -64, 0, -64, 0, 0, 0, -72, 0, 12, 0, -108, 0, 40, 0, 0, 0, 0, 0, 0, 0, 164, 0, 0, 0, 24, 0, 140, 0, -88, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, -124, 0, 0, 0, 48, 0, 152, 0, -264, 0, 0, 0, 156, 0, 0, 0, 0, 0, 0, 0, -192, 0, -152, 0, 96, 0, 56, 0, 0, 0, -144, 0, -136, 0, -20, 0, -116, 0, 0, 0, -40, 0, 16, 0, -32, 0, 80, 0, 0, 0, 0, 0, 0, 0, -68, 0, 0, 0, -120, 0, 116, 0, 104, 0, 0, 0, 4, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, -104, 0, 0, 0, 0, 0, 148, 0, 0, 0, 44, 0, -168, 0, 168, 0, 0, 0, 156, 0, 0, 0, 0, 0, 0, 0, -152, 0, 76, 0, 40, 0, -48, 0, 0, 0, 288, 0, 176, 0, 52, 0, -108, 0, 0, 0, -120, 0, -48, 0, -70, 0, 36, 0, 0, 0, 0, 0, 0, 0, 188, 0, 0, 0, -32, 0, 248, 0, 20, 0, 0, 0, -80, 0, 0, 0, 0, 0, 232, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 20, 0, 0, 0, 4, 0, 32, 0, -248, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, -244, 0, -80, 0, -176, 0, 32, 0, 0, 0, -148, 0, -176, 0, 24, 0, -164, 0, 0, 0, 128, 0, 28, 0, -88, 0, 8, 0, 0, 0, 0, 0, 0, 0, -284, 0, 0, 0, -40, 0, 196, 0, 176, 0, 0, 0, -12, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 68, 0, 0, 0, 136, 0, -220, 0, 176, 0, 0, 0, 260, 0, 0, 0, 0, 0, 0, 0, -236, 0, 96, 0, 8, 0, -96, 0, 0, 0, 132, 0, 168, 0, 32, 0, -80, 0, 0, 0, -128, 0, 16, 0, -112, 0, -48, 0, 0, 0, 0, 0, 0, 0, 188, 0, 0, 0, -132, 0, 144, 0, -84, 0, 0, 0, 28, 0, 0, 0, 0, 0, 248, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, -168, 0, 0, 0, 96, 0, 208, 0, -104, 0, 0, 0, 216, 0, 0, 0, 0, 0, 0, 0, -112, 0, 20, 0, -32, 0, -88, 0, 0, 0, -88, 0, -48, 0, -8, 0, -192, 0, 0, 0, 144, 0, 24, 0, -152, 0, -200, 0, 0, 0, 0, 0, 0, 0, -216, 0, 0, 0, 168, 0, 352, 0, 204, 0, 0, 0, -84, 0, 0, 0, 0, 0, -264, 0, 0, 0, 0, 0, 0, 0, 0, 0, 188, 0, 0, 0, 0, 0, 40, 0, 0, 0, -80, 0, -4, 0, 168, 0, 0, 0, 60, 0, 0, 0, 0, 0, 0, 0, -332, 0, 112, 0, 56, 0, 104, 0, 0, 0, 52, 0, 40, 0, -160, 0, -148, 0, 0, 0, -24, 0, 64, 0, -86, 0, 8, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 8, 0, 132, 0, -68, 0, 0, 0, 84, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 172, 0, -64, 0, 0, 0, 308, 0, 0, 0, 0, 0, 0, 0, -288, 0, -144, 0, -64, 0, 20, 0, 0, 0, -128, 0, -200, 0, -96, 0, -20, 0, 0, 0, 232, 0, -8, 0, -100, 0, 124, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, -16, 0, 216, 0, -12, 0, 0, 0, -16, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 152, 0, 0, 0, 128, 0, -240, 0, 120, 0, 0, 0, 232, 0, 0, 0, 0, 0, 0, 0, -48, 0, -88, 0, 104, 0, 96, 0, 0, 0, 212, 0, -40, 0, 0, 0, -256, 0, 0, 0, 24, 0, -24, 0, -188, 0, 204, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, 104, 0, 460, 0, 72, 0, 0, 0, 8, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 100, 0, 0, 0, -32, 0, -172, 0, -72, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, -352, 0, -116, 0, -232, 0, 48, 0, 0, 0, -208, 0, -112, 0, -72, 0, 0, 0, 0, 0, 128, 0, -24, 0, -208, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, -192, 0, 228, 0, -120, 0, 0, 0, 132, 0, 0, 0, 0, 0, 152, 0, 0, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 84, 0, 0, 0, 200, 0, -192, 0, 160, 0, 0, 0, 384, 0, 0, 0, 0, 0, 0, 0, -120, 0, -72, 0, -168, 0, -108, 0, 0, 0, 4, 0, 160, 0, 128, 0, -144, 0, 0, 0, -48, 0, 0, 0, -100, 0, -224, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 8, 0, 204, 0, -32, 0, 0, 0, -56, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, -188, 0, 0, 0, 148, 0, 216, 0, -96, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, -188, 0, -32, 0, 272, 0, -168, 0, 0, 0, 160, 0, 40, 0, 120, 0, -224, 0, 0, 0, -128, 0, -112, 0, -186, 0, -152, 0, 0, 0, 0, 0, 0, 0, 28, 0, 0, 0, 80, 0, 288, 0, 80, 0, 0, 0, 48, 0, 0, 0, 0, 0, -88, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, -104, 0, 0, 0, -160, 0, 52, 0, -104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -328, 0, 136, 0, 184, 0, -16, 0, 0, 0, 128, 0, 32, 0, 120, 0, -112, 0, 0, 0, -152, 0, 152, 0, -88, 0, -228, 0, 0, 0, 0, 0, 0, 0, 44, 0, 0, 0, -80, 0, 336, 0, 8, 0, 0, 0, 36, 0, 0, 0, 0, 0, -136, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, -16, 0, 0, 0, 140, 0, -16, 0, -128, 0, 0, 0, 228, 0, 0, 0, 0, 0, 0, 0, -132, 0, 40, 0, 128, 0, 24, 0, 0, 0, -76, 0, -144, 0, 232, 0, -84, 0, 0, 0, -72, 0, -32, 0, -108, 0, 48, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 284, 0, 164, 0, -180, 0, 0, 0, -60, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 40, 0, 0, 0, -40, 0, 44, 0, -104, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, -260, 0, -156, 0, 40, 0, 136, 0, 0, 0, 152, 0, -112, 0, -40, 0, 116, 0, 0, 0, -232, 0, 40, 0, -352, 0, 284, 0, 0, 0, 0, 0, 0, 0, -248, 0, 0, 0, 24, 0, 380, 0, 52, 0, 0, 0, 196, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 52, 0, 0, 0, -232, 0, -336, 0, 192, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, -288, 0, 128, 0, -96, 0, 80, 0, 0, 0, -92, 0, 344, 0, -96, 0, -4, 0, 0, 0, -272, 0, 76, 0, -136, 0, 104, 0, 0, 0, 0, 0, 0, 0, -236, 0, 0, 0, 64, 0, 444, 0, 64, 0, 0, 0, 40, 0, 0, 0, 0, 0, 312, 0, 0, 0, 0, 0, 0, 0, 0, 0, 200, 0, 0, 0, 0, 0, 108, 0, 0, 0, -16, 0, -4, 0, 264, 0, 0, 0, 232, 0, 0, 0, 0, 0, 0, 0, -348, 0, 192, 0, -320, 0, 56, 0, 0, 0, -392, 0, -16, 0, -120, 0, 64, 0, 0, 0, 192, 0, -232, 0, 16, 0, -148, 0, 0, 0, 0, 0, 0, 0, -240, 0, 0, 0, 320, 0, 28, 0, 28, 0, 0, 0, -60, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, -200, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 64, 0, 48, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, -32, 0, 88, 0, -56, 0, 0, 0, 0, 0, 16, 0, 232, 0, -84, 0, -8, 0, 0, 0, -16, 0, -16, 0, -162, 0, -52, 0, 0, 0, 0, 0, 0, 0, 296, 0, 0, 0, -288, 0, 244, 0, -268, 0, 0, 0, 52, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, -204, 0, 0, 0, 92, 0, 472, 0, -264, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, -128, 0, 64, 0, 352, 0, -240, 0, 0, 0, -188, 0, -216, 0, 312, 0, -96, 0, 0, 0, 296, 0, -120, 0, -152, 0, -60, 0, 0, 0, 0, 0, 0, 0, 104, 0, 0, 0, -16, 0, 224, 0, -136, 0, 0, 0, -228, 0, 0, 0, 0, 0, -384, 0, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 164, 0, 0, 0, 240, 0, 20, 0, 32, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
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-1, 0, 0, 2, 0, -5, 4, -14, -4, -4], [-1, 0, -5, -6, -12, 5, 4, 0, 0, 0, -5, 5], [-2, 0, 0, 0, 0, -8, 0, 6, 4, -6, -2, -2], [8, 10, 0, -7, 0, 0, 2, 0, 0, 0, 0, 0], [-3, 0, 3, 0, 0, -5, 0, 0, -8, 10, -3, -3], [10, -5, -5, -15, -3, 5, 5, 0, 0, 0, -5, 5], [-12, -4, -2, -5, -4, 2, 3, 0, 0, 0, -2, 2], [-13, 8, 5, -6, 2, -5, -10, 0, 0, 0, 5, -5], [2, -2, 2, -14, 0, -2, -2, 0, 0, 0, 2, -2], [11, -4, 3, -8, -4, -3, -4, 0, 0, 0, 3, -3], [1, 0, 3, 0, 0, -5, 0, 8, 8, -2, 1, 1], [0, 2, 2, -10, -2, -2, 2, 0, 0, 0, 2, -2], [6, -10, 2, 8, 10, -2, -2, 0, 0, 0, 2, -2], [-6, 0, -1, 0, 0, -3, 0, 1, -9, -3, -6, -6], [13, 4, 7, 2, -2, -7, 0, 0, 0, 0, 7, -7], [28, 8, 4, -7, 0, -4, 0, 0, 0, 0, 4, -4], [0, 0, -3, 0, 0, -5, 0, -3, 3, 9, 0, 0], [-16, -2, 6, 2, 10, -6, -6, 0, 0, 0, 6, -6], [0, -4, 4, -1, 4, -4, 0, 0, 0, 0, 4, -4], [-2, 8, 2, 5, 2, -2, -1, 0, 0, 0, 2, -2], [4, 0, -1, 0, 0, -6, 0, 3, 4, -10, 4, 4], [-3, 0, -1, 0, 0, -1, 0, 8, -8, -6, -3, -3], [2, 3, -5, -7, -11, 5, 13, 0, 0, 0, -5, 5], [2, 0, 2, 0, 0, -8, 0, 0, 8, -4, 2, 2], [-2, 0, 4, 0, 0, -8, 0, -5, 8, 4, -2, -2], [-1, 0, 1, 0, 0, -9, 0, -4, 0, 4, -1, -1], [-4, 0, 0, 0, 0, -2, 0, 8, 5, 2, -4, -4], [9, -4, -8, 4, 1, 8, 0, 0, 0, 0, -8, 8], [-2, 0, 5, 0, 0, -3, 0, -1, 13, -9, -2, -2], [4, 0, 5, 0, 0, 4, 0, -5, -12, -6, 4, 4], [8, 0, -8, 3, -2, 8, 5, 0, 0, 0, -8, 8], [3, 0, 1, 0, 0, -2, 0, -2, 0, 6, 3, 3], [6, 0, -4, 0, 0, 12, 0, -5, 0, 0, 6, 6], [8, 8, 6, -8, 14, -6, -4, 0, 0, 0, 6, -6], [17, 2, -1, 4, -2, 1, 6, 0, 0, 0, -1, 1], [-7, 0, -1, 0, 0, -1, 0, -8, 12, -2, -7, -7], [-7, 0, -5, 0, 0, -3, 0, -8, 2, 4, -7, -7], [-2, 0, -2, 0, 0, 0, 0, -3, 6, 2, -2, -2], [-4, 0, 2, 0, 0, 0, 0, -2, 0, -10, -4, -4], [-4, 0, 3, 0, 0, 0, 0, -7, 6, -4, -4, -4], [0, 0, 0, 0, 0, 6, 0, -4, -13, 10, 0, 0], [-14, 7, -1, -3, -7, 1, 5, 0, 0, 0, -1, 1], [1, 8, -3, -8, -12, 3, 4, 0, 0, 0, -3, 3], [0, 0, 7, 0, 0, -5, 0, 3, 5, 11, 0, 0], [6, 8, 4, 8, -6, -4, 0, 0, 0, 0, 4, -4], [-6, -4, 2, 1, -6, -2, -5, 0, 0, 0, 2, -2], [3, 0, 1, 0, 0, -4, 0, 6, 0, -10, 3, 3], [22, -8, -8, -5, -2, 8, 6, 0, 0, 0, -8, 8], [-6, 0, -2, 0, 0, -6, 0, -4, -1, 8, -6, -6], [1, 0, -1, 0, 0, 8, 0, -10, -2, 2, 1, 1], [-10, 6, 6, -7, 6, -6, -13, 0, 0, 0, 6, -6], [-6, 0, -5, 0, 0, 7, 0, 5, -3, 1, -6, -6], [-6, 0, 2, 0, 0, 0, 0, 3, -6, -2, -6, -6], [-4, 0, 6, 0, 0, -8, 0, 2, 6, -10, -4, -4], [-15, 10, 0, -10, -11, 0, -2, 0, 0, 0, 0, 0], [-2, 3, 3, 1, 1, -3, -7, 0, 0, 0, 3, -3], [16, 14, 8, -6, 4, -8, -2, 0, 0, 0, 8, -8], [-6, 0, -2, 0, 0, 10, 0, 4, -7, 0, -6, -6], [-4, 0, -4, 0, 0, 2, 0, 0, -12, -12, -4, -4], [14, -4, -8, 1, -10, 8, 2, 0, 0, 0, -8, 8], [-8, 0, -4, 0, 0, 8, 0, -13, -8, 4, -8, -8], [8, 0, -3, 0, 0, 2, 0, 9, 2, 2, 8, 8], [-3, 0, -3, 0, 0, -1, 0, 2, -4, -14, -3, -3], [0, 0, -6, 0, 0, 4, 0, 6, -4, -2, 0, 0], [11, -8, 3, 0, 4, -3, -8, 0, 0, 0, 3, -3], [-6, 0, 6, 0, 0, -10, 0, 4, -8, -4, -6, -6], [4, 0, -4, 0, 0, 0, 0, 1, 12, -4, 4, 4], [0, 0, -5, 0, 0, 8, 0, -11, -18, 10, 0, 0], [-15, 0, -9, -2, -10, 9, 10, 0, 0, 0, -9, 9], [-1, 4, 4, 20, 3, -4, 4, 0, 0, 0, 4, -4], [10, -6, 6, 1, 6, -6, -5, 0, 0, 0, 6, -6], [-13, -8, 2, 0, -3, -2, -4, 0, 0, 0, 2, -2], [-10, 0, 2, 0, 0, 4, 0, -12, 4, 8, -10, -10], [-1, 0, -3, 0, 0, -1, 0, -10, 0, 14, -1, -1], [0, 0, 0, 0, 0, -8, 0, -5, 8, 0, 0, 0], [10, -11, -5, -9, 1, 5, 7, 0, 0, 0, -5, 5], [15, -10, -8, 2, -13, 8, 14, 0, 0, 0, -8, 8], [6, -2, -8, 13, -8, 8, 9, 0, 0, 0, -8, 8], [-4, 0, -1, 0, 0, -2, 0, -13, -4, 4, -4, -4], [7, 0, -3, 0, 0, 6, 0, -2, 4, 14, 7, 7], [-1, -10, -5, 4, -8, 5, -2, 0, 0, 0, -5, 5], [-8, 10, 4, 8, 2, -4, 2, 0, 0, 0, 4, -4], [9, 0, 3, 0, 0, 1, 0, 14, 6, -6, 9, 9], [-15, -6, 0, 6, 5, 0, -10, 0, 0, 0, 0, 0], [1, 0, 1, 0, 0, -10, 0, 4, 12, -4, 1, 1], [-4, 0, 0, 0, 0, 4, 0, -5, 0, -4, -4, -4], [-1, 0, 9, 0, 0, -4, 0, -10, 0, -2, -1, -1], [-8, -14, 0, -2, 4, 0, 2, 0, 0, 0, 0, 0], [8, 0, -2, 0, 0, -8, 0, 2, 0, -6, 8, 8], [-12, -2, 8, 9, 4, -8, 2, 0, 0, 0, 8, -8], [12, -4, 4, 12, 8, -4, 8, 0, 0, 0, 4, -4], [6, -6, 4, -19, 4, -4, -11, 0, 0, 0, 4, -4], [-8, -1, -1, -7, -9, 1, -3, 0, 0, 0, -1, 1], [-10, -4, -8, 9, -10, 8, 10, 0, 0, 0, -8, 8], [0, 0, 1, 0, 0, -2, 0, -3, 6, 12, 0, 0], [10, -6, 0, 1, -14, 0, 4, 0, 0, 0, 0, 0], [1, 0, -1, 0, 0, -1, 0, 8, 2, 4, 1, 1], [-1, 0, 1, 0, 0, -7, 0, 4, 10, -22, -1, -1], [-2, 0, 0, 0, 0, 4, 0, -3, -8, 12, -2, -2], [12, 0, 0, 0, 0, 4, 0, 0, -8, -8, 12, 12], [-6, 10, 10, -2, 8, -10, -2, 0, 0, 0, 10, -10], [5, 0, -1, 0, 0, 7, 0, 0, -8, 10, 5, 5], [-23, 8, -3, -8, -16, 3, 4, 0, 0, 0, -3, 3], [3, 0, -7, 0, 0, 1, 0, -12, -16, -4, 3, 3], [-10, -2, -8, 2, -14, 8, 14, 0, 0, 0, -8, 8], [23, -4, -9, 6, -8, 9, 12, 0, 0, 0, -9, 9], [2, 0, 3, 0, 0, -3, 0, 17, 5, 1, 2, 2], [0, 0, 5, 0, 0, -2, 0, 1, -14, 20, 0, 0], [2, 10, 6, -8, 6, -6, -14, 0, 0, 0, 6, -6], [6, 3, 3, 1, 1, -3, 5, 0, 0, 0, 3, -3], [3, 0, -1, 0, 0, -1, 0, -6, 2, -2, 3, 3], [2, 0, 2, 0, 0, 2, 0, 4, -11, 20, 2, 2], [1, 0, 1, 0, 0, -2, 0, -8, -4, 8, 1, 1], [-4, 0, 0, 0, 0, -12, 0, 13, 16, 4, -4, -4], [-12, 0, -3, 0, 0, 7, 0, 1, -9, 5, -12, -12], [-12, 6, 8, 10, 0, -8, -2, 0, 0, 0, 8, -8], [3, 0, 13, 0, 0, -8, 0, 6, 4, 6, 3, 3], [-8, 9, -5, -9, -9, 5, -1, 0, 0, 0, -5, 5], [-20, 9, -5, -9, -5, 5, -5, 0, 0, 0, -5, 5], [4, 6, 8, 0, 6, -8, -10, 0, 0, 0, 8, -8], [37, 4, 5, 4, 8, -5, -4, 0, 0, 0, 5, -5], [8, 0, -4, 0, 0, 4, 0, 7, 0, 8, 8, 8], [14, -2, -6, 9, -6, 6, 7, 0, 0, 0, -6, 6], [-3, 0, 9, 0, 0, 3, 0, -2, 0, 6, -3, -3], [-1, -14, -1, 0, 4, 1, -6, 0, 0, 0, -1, 1], [8, 0, -2, 0, 0, 8, 0, 5, 2, -14, 8, 8], [-32, -2, 4, 7, 4, -4, -6, 0, 0, 0, 4, -4], [10, 10, 10, -12, 10, -10, -6, 0, 0, 0, 10, -10], [-3, 2, -2, -10, -9, 2, -6, 0, 0, 0, -2, 2], [-2, 0, 7, 0, 0, -13, 0, 1, -11, 5, -2, -2], [-8, 0, 9, 0, 0, 2, 0, 9, 2, -8, -8, -8], [6, 2, 4, -5, 2, -4, 4, 0, 0, 0, 4, -4], [3, 2, 7, -8, 0, -7, -6, 0, 0, 0, 7, -7], [-2, 0, 1, 0, 0, -1, 0, -5, -3, -9, -2, -2], [5, 0, -7, 0, 0, 8, 0, 0, 4, 0, 5, 5], [1, -2, 2, -6, -1, -2, -14, 0, 0, 0, 2, -2], [8, 0, 7, 0, 0, -10, 0, -1, -4, -10, 8, 8], [21, -6, -4, -10, -11, 4, 6, 0, 0, 0, -4, 4], [-1, 2, -1, -8, 4, 1, -2, 0, 0, 0, -1, 1], [-11, 0, 1, 0, 0, -3, 0, 6, -8, -10, -11, -11], [0, 0, -1, 0, 0, 8, 0, 5, -18, 8, 0, 0], [-28, -10, 0, 4, -2, 0, -6, 0, 0, 0, 0, 0], [-20, -3, 11, -13, 3, -11, -9, 0, 0, 0, 11, -11], [0, 0, -7, 0, 0, 18, 0, -7, 2, 4, 0, 0], [10, 0, 3, 0, 0, 9, 0, -3, -3, -3, 10, 10], [4, 0, 6, 0, 0, 12, 0, -3, -10, 6, 4, 4], [1, -4, 1, 16, 0, -1, -4, 0, 0, 0, 1, -1], [8, 0, -2, 0, 0, 2, 0, 14, -8, 2, 8, 8], [-7, 0, -3, 0, 0, 4, 0, -4, -4, 4, -7, -7], [-14, -7, 3, -5, 9, -3, -9, 0, 0, 0, 3, -3], [-8, -3, -1, 11, 11, 1, -9, 0, 0, 0, -1, 1], [0, 0, 9, 0, 0, -4, 0, -1, 4, 10, 0, 0], [4, 0, 10, 0, 0, 0, 0, -5, -14, 14, 4, 4], [-7, 0, -1, 0, 0, 10, 0, 10, 2, -2, -7, -7], [11, 0, -1, 0, 0, 7, 0, 6, -10, -6, 11, 11], [-4, 0, -1, 0, 0, 7, 0, -9, -15, 23, -4, -4], [0, 5, -9, 3, -13, 9, 11, 0, 0, 0, -9, 9], [0, 18, 4, 6, 0, -4, -2, 0, 0, 0, 4, -4]], 'char_orbit_index': 7, 'field_poly': [73, -114, 65, -32, 115, 34, -176, 98, 19, -40, 21, -6, 1], 'hecke_orbit_code': 27022010114640640, 'hecke_ring_character_values': [[2047, [-1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], [1541, [-1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], [1025, [-1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 1073263342573, 1073263342573, 1073263342573, 1073263342573, 1073263342573, 1073263342573, 1073263342573, 113440793, 1073263342573, 1073263342573, 1073263342573], 'hecke_ring_inverse_denominators': [1, 4, 2, 4, 2, 4, 2, 4, 2, 4, 2, 4], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2, 1, -1, 1, 0, 0, 1, 1, -1, 1, 0, 0], [-2, 0, -2, 2, -1, 2, 0, 1, -1, 1, -1, 1], [-12, 1, -1, 5, -8, 10, 1, 3, 7, -5, 2, 10], [19, -6, 9, -10, 2, 3, 2, 0, 12, -10, 11, 5], [122, -35, 19, -87, 40, -44, 15, 7, -31, 15, 24, -52], [-125, -14, -87, -12, -25, -31, 4, 13, -129, 85, -82, -62], [-1714, 143, -453, 543, -572, 272, -59, -65, -169, 15, -492, 288], [-393, 144, 399, 380, -272, 353, -70, -312, 892, -864, 267, 701], [13192, -609, 5203, -3545, 4296, -2074, 139, -1077, 3643, -3289, 4746, -766], [13632, -1022, 712, -5326, 6245, -5270, 284, 1245, -5169, 4473, 1165, -6949], [-66066, 6103, -40337, 17819, -13464, 436, -2517, 12193, -45751, 40585, -35648, -15112]], 'hecke_ring_numerators': [[1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1365130309773, 1106157351050, -345017292419, -152552118594, -1360237467448, 1324524483670, 109128530976, -459263240134, 263317478264, -68405568646, 12088176341, 1526954786], [870396159606, -2755908771597, 2847079354082, -338184882564, -1872356288734, 1077068706243, -274019934350, 105721025325, -91101455270, 46336614578, -15559194130, 2979810375], [-946033859905, -989220643531, -251482219543, 951736696772, 933342181870, -1004373999867, -298058899328, 329341957837, -96142186278, -15818216548, 12210516911, -5954956035], [-1162129902116, 719896835892, 1859077966861, -3551699778076, 84259472836, 2395914932848, -1226709485811, -121409436348, 369739830397, -182663219884, 51896829036, -6707558652], [1432167708553, -2840411794222, 1676461214281, -397362273754, -1892071789518, 2950349029262, -1060289059809, -651425204654, 752223782575, -350610870646, 94655597176, -14652726490], [-576443741268, 828833684663, 1120536993706, -2599448567744, -478863906028, 3105677385311, -1888522017486, -262948642989, 698565096878, -384724439216, 110729079950, -19614565953], [2087491582301, -2359741955839, -912948290584, -2802851933704, 2501380977677, 2391820738683, -2944385863618, 591578318287, 390947120655, -325755376544, 110402267766, -21868125835], [129635798, -70531440, -276604964, -234125046, 198022230, 200613438, -217944716, -4782762, 68672502, -42298230, 12929344, -2429272], [-1979790531563, 2283818208512, 619030598518, 2049873980500, -1594489756775, -2842576164636, 2685843357030, -138237078958, -698078423367, 440856661502, -138664711514, 25907161020], [-4949295090890, 2902349917479, -1639828152151, 6638375857551, -494351180648, -6117534807087, 4091328393349, 18245477591, -1055829605360, 610863460100, -182328683312, 30440173420], [-2077590451804, 5178319879170, 2886935346206, -160521638691, -1270747972856, -3110673357672, 3229842505624, 253853634916, -1223614033963, 738446804772, -224695503378, 43885222991]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 12, 'label': '2816.2.g.g', 'level': 2816, 'maxp': 1999, 'weight': 2}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 11264, 'analytic_conductor': 22.485873209192555, 'char_conductor': 88, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 7, 'char_orbit_label': 'g', 'char_order': 2, 'char_parity': 1, 'char_values': [2816, 2, [2047, 1541, 1025], [1, 1, 1]], 'conrey_index': 1407, 'cusp_dim': 360, 'dim': 92, 'eis_dim': 48, 'eis_new_dim': 8, 'hecke_cutter_primes': [3, 7], 'hecke_orbit_code': 412350417664, 'hecke_orbit_dims': [4, 8, 8, 12, 12, 12, 12, 12, 12], 'label': '2816.2.g', 'level': 2816, '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, 11], 'level_radical': 22, 'mf_dim': 408, 'mf_new_dim': 100, 'num_forms': 9, 'prim_orbit_index': 7, 'relative_dim': 92, 'sturm_bound': 768, 'trace_bound': 9, 'trace_display': [0, 0, 0, 0], 'traces': [92, 0, 0, 0, 0, 0, 0, 0, 92, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -68, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 76, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 52, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 200, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -136, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, 124, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 52, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 384, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 204, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -200, 0, 0, 0, 0, 0, 0, 0, -232, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -320, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, -368, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -340, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -432, 0, 0, 0, 0, 0, 0, 0, -352, 0, 0, 0, 0, 0, 0, 0, 104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, -248, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 564, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, -264, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 272, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 184, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -328, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_nf •

  Column	Type
  conductor	integer
  degree	integer
  multiplicity	smallint
  order	integer
  parity	smallint
  self_twist_disc	integer
  source_char_orbit	smallint
  source_dim	integer
  source_hecke_orbit	integer
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_char_orbit	smallint
  target_dim	integer
  target_hecke_orbit	integer
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_char_orbit	smallint
  weight	smallint

  
  
  • id: 1004901
    {'conductor': 16, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 7, 'source_dim': 12, 'source_hecke_orbit': 7, 'source_is_minimal': False, 'source_label': '2816.2.g.g', 'source_level': 2816, 'target_char_orbit': 5, 'target_dim': 12, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '1408.2.e.a', 'target_level': 1408, 'twist_class_label': '1408.2.e.a', 'twist_class_level': 1408, 'twisting_char_label': '16.f', 'twisting_char_orbit': 6, 'weight': 2}
  • id: 1004902
    {'conductor': 176, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 7, 'source_dim': 12, 'source_hecke_orbit': 7, 'source_is_minimal': False, 'source_label': '2816.2.g.g', 'source_level': 2816, 'target_char_orbit': 5, 'target_dim': 12, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '1408.2.e.a', 'target_level': 1408, 'twist_class_label': '1408.2.e.a', 'twist_class_level': 1408, 'twisting_char_label': '176.l', 'twisting_char_orbit': 12, 'weight': 2}
  • id: 1004903
    {'conductor': 16, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 7, 'source_dim': 12, 'source_hecke_orbit': 7, 'source_is_minimal': False, 'source_label': '2816.2.g.g', 'source_level': 2816, 'target_char_orbit': 5, 'target_dim': 12, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '1408.2.e.b', 'target_level': 1408, 'twist_class_label': '1408.2.e.a', 'twist_class_level': 1408, 'twisting_char_label': '16.f', 'twisting_char_orbit': 6, 'weight': 2}
  • id: 1004904
    {'conductor': 176, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 7, 'source_dim': 12, 'source_hecke_orbit': 7, 'source_is_minimal': False, 'source_label': '2816.2.g.g', 'source_level': 2816, 'target_char_orbit': 5, 'target_dim': 12, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '1408.2.e.b', 'target_level': 1408, 'twist_class_label': '1408.2.e.a', 'twist_class_level': 1408, 'twisting_char_label': '176.l', 'twisting_char_orbit': 12, 'weight': 2}
  • id: 1004905
    {'conductor': 16, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 7, 'source_dim': 12, 'source_hecke_orbit': 7, 'source_is_minimal': False, 'source_label': '2816.2.g.g', 'source_level': 2816, 'target_char_orbit': 5, 'target_dim': 12, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '1408.2.e.c', 'target_level': 1408, 'twist_class_label': '1408.2.e.a', 'twist_class_level': 1408, 'twisting_char_label': '16.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 1004906
    {'conductor': 176, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 7, 'source_dim': 12, 'source_hecke_orbit': 7, 'source_is_minimal': False, 'source_label': '2816.2.g.g', 'source_level': 2816, 'target_char_orbit': 5, 'target_dim': 12, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '1408.2.e.c', 'target_level': 1408, 'twist_class_label': '1408.2.e.a', 'twist_class_level': 1408, 'twisting_char_label': '176.i', 'twisting_char_orbit': 9, 'weight': 2}
  • id: 1004907
    {'conductor': 16, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 7, 'source_dim': 12, 'source_hecke_orbit': 7, 'source_is_minimal': False, 'source_label': '2816.2.g.g', 'source_level': 2816, 'target_char_orbit': 5, 'target_dim': 12, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '1408.2.e.d', 'target_level': 1408, 'twist_class_label': '1408.2.e.a', 'twist_class_level': 1408, 'twisting_char_label': '16.e', 'twisting_char_orbit': 5, 'weight': 2}
  • id: 1004908
    {'conductor': 176, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 7, 'source_dim': 12, 'source_hecke_orbit': 7, 'source_is_minimal': False, 'source_label': '2816.2.g.g', 'source_level': 2816, 'target_char_orbit': 5, 'target_dim': 12, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '1408.2.e.d', 'target_level': 1408, 'twist_class_label': '1408.2.e.a', 'twist_class_level': 1408, 'twisting_char_label': '176.i', 'twisting_char_orbit': 9, 'weight': 2}
  • id: 1004909
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 7, 'source_dim': 12, 'source_hecke_orbit': 7, 'source_is_minimal': False, 'source_label': '2816.2.g.g', 'source_level': 2816, 'target_char_orbit': 7, 'target_dim': 12, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '2816.2.g.e', 'target_level': 2816, 'twist_class_label': '1408.2.e.a', 'twist_class_level': 1408, 'twisting_char_label': '8.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1004910
    {'conductor': 44, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 7, 'source_dim': 12, 'source_hecke_orbit': 7, 'source_is_minimal': False, 'source_label': '2816.2.g.g', 'source_level': 2816, 'target_char_orbit': 7, 'target_dim': 12, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '2816.2.g.e', 'target_level': 2816, 'twist_class_label': '1408.2.e.a', 'twist_class_level': 1408, 'twisting_char_label': '44.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 1004911
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 7, 'source_dim': 12, 'source_hecke_orbit': 7, 'source_is_minimal': False, 'source_label': '2816.2.g.g', 'source_level': 2816, 'target_char_orbit': 7, 'target_dim': 12, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '2816.2.g.f', 'target_level': 2816, 'twist_class_label': '1408.2.e.a', 'twist_class_level': 1408, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1004912
    {'conductor': 88, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 7, 'source_dim': 12, 'source_hecke_orbit': 7, 'source_is_minimal': False, 'source_label': '2816.2.g.g', 'source_level': 2816, 'target_char_orbit': 7, 'target_dim': 12, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '2816.2.g.f', 'target_level': 2816, 'twist_class_label': '1408.2.e.a', 'twist_class_level': 1408, 'twisting_char_label': '88.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1004913
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 7, 'source_dim': 12, 'source_hecke_orbit': 7, 'source_is_minimal': False, 'source_label': '2816.2.g.g', 'source_level': 2816, 'target_char_orbit': 7, 'target_dim': 12, 'target_hecke_orbit': 7, 'target_is_minimal': False, 'target_label': '2816.2.g.g', 'target_level': 2816, 'twist_class_label': '1408.2.e.a', 'twist_class_level': 1408, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 1004914
    {'conductor': 88, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 7, 'source_dim': 12, 'source_hecke_orbit': 7, 'source_is_minimal': False, 'source_label': '2816.2.g.g', 'source_level': 2816, 'target_char_orbit': 7, 'target_dim': 12, 'target_hecke_orbit': 7, 'target_is_minimal': False, 'target_label': '2816.2.g.g', 'target_level': 2816, 'twist_class_label': '1408.2.e.a', 'twist_class_level': 1408, 'twisting_char_label': '88.g', 'twisting_char_orbit': 7, 'weight': 2}
  • id: 1004915
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 7, 'source_dim': 12, 'source_hecke_orbit': 7, 'source_is_minimal': False, 'source_label': '2816.2.g.g', 'source_level': 2816, 'target_char_orbit': 7, 'target_dim': 12, 'target_hecke_orbit': 8, 'target_is_minimal': False, 'target_label': '2816.2.g.h', 'target_level': 2816, 'twist_class_label': '1408.2.e.a', 'twist_class_level': 1408, 'twisting_char_label': '8.d', 'twisting_char_orbit': 4, 'weight': 2}
  • id: 1004916
    {'conductor': 11, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 7, 'source_dim': 12, 'source_hecke_orbit': 7, 'source_is_minimal': False, 'source_label': '2816.2.g.g', 'source_level': 2816, 'target_char_orbit': 7, 'target_dim': 12, 'target_hecke_orbit': 8, 'target_is_minimal': False, 'target_label': '2816.2.g.h', 'target_level': 2816, 'twist_class_label': '1408.2.e.a', 'twist_class_level': 1408, 'twisting_char_label': '11.b', 'twisting_char_orbit': 2, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2866250
    {'charpoly_factorization': [[[0, 1], 12]], 'hecke_orbit_code': 27022010114640640, 'p': 2}
  • id: 2866251
    {'charpoly_factorization': [[[4, -22, 21, 16, -10, -2, 1], 2]], 'hecke_orbit_code': 27022010114640640, 'p': 3}
  • id: 2866252
    {'charpoly_factorization': [[[1296, 0, 5416, 0, 5529, 0, 2332, 0, 446, 0, 36, 0, 1], 1]], 'hecke_orbit_code': 27022010114640640, 'p': 5}
  • id: 2866253
    {'charpoly_factorization': [[[64, 112, -12, -72, -16, 4, 1], 2]], 'hecke_orbit_code': 27022010114640640, 'p': 7}
  • id: 2866254
    {'charpoly_factorization': [[[1771561, 966306, 322102, 162382, 76351, 23716, 6292, 2156, 631, 122, 22, 6, 1], 1]], 'hecke_orbit_code': 27022010114640640, 'p': 11}
  • id: 2866255
    {'charpoly_factorization': [[[-1808, -56, 548, 32, -44, -2, 1], 2]], 'hecke_orbit_code': 27022010114640640, 'p': 13}
  • id: 2866256
    {'charpoly_factorization': [[[36864, 0, 434944, 0, 260240, 0, 51264, 0, 4008, 0, 112, 0, 1], 1]], 'hecke_orbit_code': 27022010114640640, 'p': 17}
  • id: 2866257
    {'charpoly_factorization': [[[256, 0, 5568, 0, 24976, 0, 32864, 0, 3416, 0, 108, 0, 1], 1]], 'hecke_orbit_code': 27022010114640640, 'p': 19}
  • id: 2866258
    {'charpoly_factorization': [[[913936, 0, 1647724, 0, 649489, 0, 82764, 0, 4550, 0, 112, 0, 1], 1]], 'hecke_orbit_code': 27022010114640640, 'p': 23}
  • id: 2866259
    {'charpoly_factorization': [[[2816, 7040, -2496, -832, 28, 18, 1], 2]], 'hecke_orbit_code': 27022010114640640, 'p': 29}
  • id: 2866260
    {'charpoly_factorization': [[[2862864, 0, 7559740, 0, 2041793, 0, 207228, 0, 9302, 0, 176, 0, 1], 1]], 'hecke_orbit_code': 27022010114640640, 'p': 31}
  • id: 2866261
    {'charpoly_factorization': [[[496220176, 0, 142567400, 0, 15198745, 0, 766620, 0, 19262, 0, 228, 0, 1], 1]], 'hecke_orbit_code': 27022010114640640, 'p': 37}
  • id: 2866262
    {'charpoly_factorization': [[[331776, 0, 1417984, 0, 1588624, 0, 359616, 0, 14440, 0, 208, 0, 1], 1]], 'hecke_orbit_code': 27022010114640640, 'p': 41}
  • id: 2866263
    {'charpoly_factorization': [[[1141899264, 0, 343146496, 0, 36282368, 0, 1636352, 0, 33040, 0, 300, 0, 1], 1]], 'hecke_orbit_code': 27022010114640640, 'p': 43}
  • id: 2866264
    {'charpoly_factorization': [[[4460544, 0, 22899712, 0, 8071936, 0, 774784, 0, 23472, 0, 268, 0, 1], 1]], 'hecke_orbit_code': 27022010114640640, 'p': 47}
  • id: 2866265
    {'charpoly_factorization': [[[7929856, 0, 30638080, 0, 13035520, 0, 1520640, 0, 36752, 0, 328, 0, 1], 1]], 'hecke_orbit_code': 27022010114640640, 'p': 53}
  • id: 2866266
    {'charpoly_factorization': [[[23196, 12718, -315, -960, -82, 10, 1], 2]], 'hecke_orbit_code': 27022010114640640, 'p': 59}
  • id: 2866267
    {'charpoly_factorization': [[[78848, -56320, 3968, 1888, -132, -14, 1], 2]], 'hecke_orbit_code': 27022010114640640, 'p': 61}
  • id: 2866268
    {'charpoly_factorization': [[[42508, 31938, 5693, -552, -186, -2, 1], 2]], 'hecke_orbit_code': 27022010114640640, 'p': 67}
  • id: 2866269
    {'charpoly_factorization': [[[90000, 0, 1348300, 0, 1557249, 0, 245276, 0, 13334, 0, 256, 0, 1], 1]], 'hecke_orbit_code': 27022010114640640, 'p': 71}
  • id: 2866270
    {'charpoly_factorization': [[[1270779904, 0, 842244608, 0, 125237136, 0, 5736768, 0, 88040, 0, 512, 0, 1], 1]], 'hecke_orbit_code': 27022010114640640, 'p': 73}
  • id: 2866271
    {'charpoly_factorization': [[[45056, 22528, -2752, -2176, -192, 8, 1], 2]], 'hecke_orbit_code': 27022010114640640, 'p': 79}
  • id: 2866272
    {'charpoly_factorization': [[[657733976064, 0, 104454946816, 0, 3195797504, 0, 41449472, 0, 265616, 0, 828, 0, 1], 1]], 'hecke_orbit_code': 27022010114640640, 'p': 83}
  • id: 2866273
    {'charpoly_factorization': [[[8868, -7796, 1569, 268, -94, 0, 1], 2]], 'hecke_orbit_code': 27022010114640640, 'p': 89}
  • id: 2866274
    {'charpoly_factorization': [[[-11996, 692, 9041, 1964, -270, -8, 1], 2]], 'hecke_orbit_code': 27022010114640640, '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': 7, 'hecke_orbit': 7, 'label': '2816.2.g.g', 'level': 2816, '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

  
  Showing the first 100 of 258 matching records in this table.
  • id: 47422183
    {'hecke_orbit_code': 27022010114640640, 'n': 1, 'trace_an': 12}
  • id: 47422184
    {'hecke_orbit_code': 27022010114640640, 'n': 2, 'trace_an': 0}
  • id: 47422185
    {'hecke_orbit_code': 27022010114640640, 'n': 3, 'trace_an': 4}
  • id: 47422186
    {'hecke_orbit_code': 27022010114640640, 'n': 4, 'trace_an': 0}
  • id: 47422187
    {'hecke_orbit_code': 27022010114640640, 'n': 5, 'trace_an': 0}
  • id: 47422188
    {'hecke_orbit_code': 27022010114640640, 'n': 6, 'trace_an': 0}
  • id: 47422189
    {'hecke_orbit_code': 27022010114640640, 'n': 7, 'trace_an': -8}
  • id: 47422190
    {'hecke_orbit_code': 27022010114640640, 'n': 8, 'trace_an': 0}
  • id: 47422191
    {'hecke_orbit_code': 27022010114640640, 'n': 9, 'trace_an': 12}
  • id: 47422192
    {'hecke_orbit_code': 27022010114640640, 'n': 10, 'trace_an': 0}
  • id: 47422193
    {'hecke_orbit_code': 27022010114640640, 'n': 11, 'trace_an': -6}
  • id: 47422194
    {'hecke_orbit_code': 27022010114640640, 'n': 12, 'trace_an': 0}
  • id: 47422195
    {'hecke_orbit_code': 27022010114640640, 'n': 13, 'trace_an': 4}
  • id: 47422196
    {'hecke_orbit_code': 27022010114640640, 'n': 14, 'trace_an': 0}
  • id: 47422197
    {'hecke_orbit_code': 27022010114640640, 'n': 15, 'trace_an': 0}
  • id: 47422198
    {'hecke_orbit_code': 27022010114640640, 'n': 16, 'trace_an': 0}
  • id: 47422199
    {'hecke_orbit_code': 27022010114640640, 'n': 17, 'trace_an': 0}
  • id: 47422200
    {'hecke_orbit_code': 27022010114640640, 'n': 18, 'trace_an': 0}
  • id: 47422201
    {'hecke_orbit_code': 27022010114640640, 'n': 19, 'trace_an': 0}
  • id: 47422202
    {'hecke_orbit_code': 27022010114640640, 'n': 20, 'trace_an': 0}
  • id: 47422203
    {'hecke_orbit_code': 27022010114640640, 'n': 21, 'trace_an': 8}
  • id: 47422204
    {'hecke_orbit_code': 27022010114640640, 'n': 22, 'trace_an': 0}
  • id: 47422205
    {'hecke_orbit_code': 27022010114640640, 'n': 23, 'trace_an': 0}
  • id: 47422206
    {'hecke_orbit_code': 27022010114640640, 'n': 24, 'trace_an': 0}
  • id: 47422207
    {'hecke_orbit_code': 27022010114640640, 'n': 25, 'trace_an': -12}
  • id: 47422208
    {'hecke_orbit_code': 27022010114640640, 'n': 26, 'trace_an': 0}
  • id: 47422209
    {'hecke_orbit_code': 27022010114640640, 'n': 27, 'trace_an': 16}
  • id: 47422210
    {'hecke_orbit_code': 27022010114640640, 'n': 28, 'trace_an': 0}
  • id: 47422211
    {'hecke_orbit_code': 27022010114640640, 'n': 29, 'trace_an': -36}
  • id: 47422212
    {'hecke_orbit_code': 27022010114640640, 'n': 30, 'trace_an': 0}
  • id: 47422213
    {'hecke_orbit_code': 27022010114640640, 'n': 31, 'trace_an': 0}
  • id: 47422214
    {'hecke_orbit_code': 27022010114640640, 'n': 32, 'trace_an': 0}
  • id: 47422215
    {'hecke_orbit_code': 27022010114640640, 'n': 33, 'trace_an': 4}
  • id: 47422216
    {'hecke_orbit_code': 27022010114640640, 'n': 34, 'trace_an': 0}
  • id: 47422217
    {'hecke_orbit_code': 27022010114640640, 'n': 35, 'trace_an': 0}
  • id: 47422218
    {'hecke_orbit_code': 27022010114640640, 'n': 36, 'trace_an': 0}
  • id: 47422219
    {'hecke_orbit_code': 27022010114640640, 'n': 37, 'trace_an': 0}
  • id: 47422220
    {'hecke_orbit_code': 27022010114640640, 'n': 38, 'trace_an': 0}
  • id: 47422221
    {'hecke_orbit_code': 27022010114640640, 'n': 39, 'trace_an': 40}
  • id: 47422222
    {'hecke_orbit_code': 27022010114640640, 'n': 40, 'trace_an': 0}
  • id: 47422223
    {'hecke_orbit_code': 27022010114640640, 'n': 41, 'trace_an': 0}
  • id: 47422224
    {'hecke_orbit_code': 27022010114640640, 'n': 42, 'trace_an': 0}
  • id: 47422225
    {'hecke_orbit_code': 27022010114640640, 'n': 43, 'trace_an': 0}
  • id: 47422226
    {'hecke_orbit_code': 27022010114640640, 'n': 44, 'trace_an': 0}
  • id: 47422227
    {'hecke_orbit_code': 27022010114640640, 'n': 45, 'trace_an': 0}
  • id: 47422228
    {'hecke_orbit_code': 27022010114640640, 'n': 46, 'trace_an': 0}
  • id: 47422229
    {'hecke_orbit_code': 27022010114640640, 'n': 47, 'trace_an': 0}
  • id: 47422230
    {'hecke_orbit_code': 27022010114640640, 'n': 48, 'trace_an': 0}
  • id: 47422231
    {'hecke_orbit_code': 27022010114640640, 'n': 49, 'trace_an': 12}
  • id: 47422232
    {'hecke_orbit_code': 27022010114640640, 'n': 50, 'trace_an': 0}
  • id: 47422233
    {'hecke_orbit_code': 27022010114640640, 'n': 51, 'trace_an': 0}
  • id: 47422234
    {'hecke_orbit_code': 27022010114640640, 'n': 52, 'trace_an': 0}
  • id: 47422235
    {'hecke_orbit_code': 27022010114640640, 'n': 53, 'trace_an': 0}
  • id: 47422236
    {'hecke_orbit_code': 27022010114640640, 'n': 54, 'trace_an': 0}
  • id: 47422237
    {'hecke_orbit_code': 27022010114640640, 'n': 55, 'trace_an': 4}
  • id: 47422238
    {'hecke_orbit_code': 27022010114640640, 'n': 56, 'trace_an': 0}
  • id: 47422239
    {'hecke_orbit_code': 27022010114640640, 'n': 57, 'trace_an': 0}
  • id: 47422240
    {'hecke_orbit_code': 27022010114640640, 'n': 58, 'trace_an': 0}
  • id: 47422241
    {'hecke_orbit_code': 27022010114640640, 'n': 59, 'trace_an': -20}
  • id: 47422242
    {'hecke_orbit_code': 27022010114640640, 'n': 60, 'trace_an': 0}
  • id: 47422243
    {'hecke_orbit_code': 27022010114640640, 'n': 61, 'trace_an': 28}
  • id: 47422244
    {'hecke_orbit_code': 27022010114640640, 'n': 62, 'trace_an': 0}
  • id: 47422245
    {'hecke_orbit_code': 27022010114640640, 'n': 63, 'trace_an': -40}
  • id: 47422246
    {'hecke_orbit_code': 27022010114640640, 'n': 64, 'trace_an': 0}
  • id: 47422247
    {'hecke_orbit_code': 27022010114640640, 'n': 65, 'trace_an': 0}
  • id: 47422248
    {'hecke_orbit_code': 27022010114640640, 'n': 66, 'trace_an': 0}
  • id: 47422249
    {'hecke_orbit_code': 27022010114640640, 'n': 67, 'trace_an': 4}
  • id: 47422250
    {'hecke_orbit_code': 27022010114640640, 'n': 68, 'trace_an': 0}
  • id: 47422251
    {'hecke_orbit_code': 27022010114640640, 'n': 69, 'trace_an': 0}
  • id: 47422252
    {'hecke_orbit_code': 27022010114640640, 'n': 70, 'trace_an': 0}
  • id: 47422253
    {'hecke_orbit_code': 27022010114640640, 'n': 71, 'trace_an': 0}
  • id: 47422254
    {'hecke_orbit_code': 27022010114640640, 'n': 72, 'trace_an': 0}
  • id: 47422255
    {'hecke_orbit_code': 27022010114640640, 'n': 73, 'trace_an': 0}
  • id: 47422256
    {'hecke_orbit_code': 27022010114640640, 'n': 74, 'trace_an': 0}
  • id: 47422257
    {'hecke_orbit_code': 27022010114640640, 'n': 75, 'trace_an': -52}
  • id: 47422258
    {'hecke_orbit_code': 27022010114640640, 'n': 76, 'trace_an': 0}
  • id: 47422259
    {'hecke_orbit_code': 27022010114640640, 'n': 77, 'trace_an': -24}
  • id: 47422260
    {'hecke_orbit_code': 27022010114640640, 'n': 78, 'trace_an': 0}
  • id: 47422261
    {'hecke_orbit_code': 27022010114640640, 'n': 79, 'trace_an': -16}
  • id: 47422262
    {'hecke_orbit_code': 27022010114640640, 'n': 80, 'trace_an': 0}
  • id: 47422263
    {'hecke_orbit_code': 27022010114640640, 'n': 81, 'trace_an': 4}
  • id: 47422264
    {'hecke_orbit_code': 27022010114640640, 'n': 82, 'trace_an': 0}
  • id: 47422265
    {'hecke_orbit_code': 27022010114640640, 'n': 83, 'trace_an': 0}
  • id: 47422266
    {'hecke_orbit_code': 27022010114640640, 'n': 84, 'trace_an': 0}
  • id: 47422267
    {'hecke_orbit_code': 27022010114640640, 'n': 85, 'trace_an': -56}
  • id: 47422268
    {'hecke_orbit_code': 27022010114640640, 'n': 86, 'trace_an': 0}
  • id: 47422269
    {'hecke_orbit_code': 27022010114640640, 'n': 87, 'trace_an': -72}
  • id: 47422270
    {'hecke_orbit_code': 27022010114640640, 'n': 88, 'trace_an': 0}
  • id: 47422271
    {'hecke_orbit_code': 27022010114640640, 'n': 89, 'trace_an': 0}
  • id: 47422272
    {'hecke_orbit_code': 27022010114640640, 'n': 90, 'trace_an': 0}
  • id: 47422273
    {'hecke_orbit_code': 27022010114640640, 'n': 91, 'trace_an': 16}
  • id: 47422274
    {'hecke_orbit_code': 27022010114640640, 'n': 92, 'trace_an': 0}
  • id: 47422275
    {'hecke_orbit_code': 27022010114640640, 'n': 93, 'trace_an': 0}
  • id: 47422276
    {'hecke_orbit_code': 27022010114640640, 'n': 94, 'trace_an': 0}
  • id: 47422277
    {'hecke_orbit_code': 27022010114640640, 'n': 95, 'trace_an': 24}
  • id: 47422278
    {'hecke_orbit_code': 27022010114640640, 'n': 96, 'trace_an': 0}
  • id: 47422279
    {'hecke_orbit_code': 27022010114640640, 'n': 97, 'trace_an': 16}
  • id: 47422280
    {'hecke_orbit_code': 27022010114640640, 'n': 98, 'trace_an': 0}
  • id: 47422281
    {'hecke_orbit_code': 27022010114640640, 'n': 99, 'trace_an': -38}
  • id: 47422282
    {'hecke_orbit_code': 27022010114640640, 'n': 100, 'trace_an': 0}