Embedded newform data - 1665.2.c.d.334.1

Formats: - HTML - YAML - JSON - 2026-10-14T07:23:45.890602

• 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': 6660, 'analytic_conductor': 13.295091936543184, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 5, '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': [1665, 2, [371, 667, 631], [2, 1, 2]], 'cm_discs': [], 'conrey_index': 334, 'dim': 8, 'field_disc': 309760000, 'field_disc_factorization': [[2, 12], [5, 4], [11, 2]], 'field_poly': [1, 6, 18, -2, -1, -2, 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': [[2, [1, 0, 3, 0, 1]], [11, [5, 10, -1, -4, 1]]], 'hecke_orbit': 4, 'hecke_orbit_code': 13510936354621057, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 4, 'hecke_ring_index_factorization': [[2, 2]], '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': '1665.2.c.d', 'level': 1665, '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': [3, 5, 37], 'level_radical': 555, 'minimal_twist': '555.2.c.b', 'nf_label': '8.0.309760000.3', 'prim_orbit_index': 2, 'qexp_display': 'q+(-\\beta _{4}+\\beta _{5})q^{2}+(1-\\beta _{1})q^{4}+(\\beta _{2}+\\cdots)q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 8, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1665.2.c', 'trace_display': [0, 0, 0, 0], 'trace_hash': 1528115668023872768, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.008', 'prec': 4}, {'__RealLiteral__': 0, 'data': '7.434', 'prec': 14}, {'__RealLiteral__': 0, 'data': '3.469', 'prec': 14}, {'__RealLiteral__': 0, 'data': '326.233', 'prec': 20}, {'__RealLiteral__': 0, 'data': '478.721', 'prec': 20}, {'__RealLiteral__': 0, 'data': '22899.560', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.511', 'prec': 10}, 'traces': [8, 0, 0, 4, 0, 0, 0, 0, 0, 8, 8, 0, 0, -8, 0, -12, 0, 0, 8, 0, 0, 0, 0, 0, 16, 12, 0, 0, -24, 0, -4, 0, 0, -12, -8, 0, 0, 0, 0, 20, 52, 0, 0, 4, 0, -20, 0, 0, -8, 0, 0, 0, 0, 0, 28, 0, 0, 0, -24, 0, -12, 0, 0, -16, -8, 0, 0, 0, 0, 28, 68, 0, 0, -4, 0, 4, 0, 0, -12, 0, 0, 0, 0, 0, 8, 16, 0, 0, -48, 0, -20, 0, 0, -16, -32, 0, 0, 0, 0, -12, -20, 0, 0, 20, 0, 0, 0, 0, 48, 8, 0, 0, 0, 0, 20, 8, 0, 0, -16, 0, -52, 0, 0, 28, 0, 0, 0, 0, 0, 52, 16, 0, 0, -8, 0, -20, 0, 0, 28, -24, 0, 0, 0, 0, 20, 40, 0, 0, -44, 0, -48, 0, 0, 20, 28, 0, 0, 0, 0, 28, 64, 0, 0, 16, 0, 28, 0, 0, 40, -48, 0, 0, 0, 0, -64, -12, 0, 0, -8, 0, -52, 0, 0, -40, -4, 0, 0, 0, 0, 8, -32, 0, 0, -36, 0, -24, 0, 0, -4, 0, 0, 0, 0, 0, 24, 20, 0, 0, -24, 0, 76, 0, 0, 24, -4, 0, 0, 0, 0, 4, 60, 0, 0, 72, 0, -24, 0, 0, -16, -56, 0, 0, 0, 0, 4, 8, 0, 0, -8, 0, -116, 0, 0, -36, -16, 0, 0, 0, 0, 72, 8, 0, 0, 48, 0, 28, 0, 0, -16, -4, 0, 0, 0, 0, 0, -40, 0, 0, -28, 0, -40, 0, 0, -52, 16, 0, 0, 0, 0, 60, 112, 0, 0, 44, 0, 64, 0, 0, 12, -24, 0, 0, 0, 0, -40, 0, 0, 0, 76, 0, 48, 0, 0, -12, 28, 0, 0, 0, 0, -4, -104, 0, 0, 48, 0, 64, 0, 0, -4, 0, 0, 0, 0, 0, -56, -80, 0, 0, -76, 0, 24, 0, 0, -124, -8, 0, 0, 0, 0, 4, 24, 0, 0, 20, 0, -8, 0, 0, -4, -56, 0, 0, 0, 0, -60, -64, 0, 0, -12, 0, -76, 0, 0, -20, 0, 0, 0, 0, 0, 0, -72, 0, 0, -60, 0, -20, 0, 0, 100, -36, 0, 0, 0, 0, -40, -80, 0, 0, -64, 0, -4, 0, 0, -96, 68, 0, 0, 0, 0, -84, 0, 0, 0, 60, 0, 84, 0, 0, 64, 52, 0, 0, 0, 0, -32, -8, 0, 0, 72, 0, -76, 0, 0, 0, -16, 0, 0, 0, 0, -76, -112, 0, 0, 92, 0, 84, 0, 0, -8, 20, 0, 0, 0, 0, -12, 56, 0, 0, -32, 0, 76, 0, 0, 24, 20, 0, 0, 0, 0, 20, -64, 0, 0, 96, 0, -72, 0, 0, -44, 128, 0, 0, 0, 0, 16, -48, 0, 0, -152, 0, 4, 0, 0, -36, 64, 0, 0, 0, 0, -8, 12, 0, 0, -16, 0, 96, 0, 0, -112, 0, 0, 0, 0, 0, -60, -76, 0, 0, 16, 0, 180, 0, 0, 12, 0, 0, 0, 0, 0, 80, -28, 0, 0, 8, 0, 100, 0, 0, 16, 8, 0, 0, 0, 0, -56, 0, 0, 0, -24, 0, 108, 0, 0, 8, 136, 0, 0, 0, 0, 56, 16, 0, 0, 48, 0, 104, 0, 0, 60, -48, 0, 0, 0, 0, 36, -56, 0, 0, -136, 0, -40, 0, 0, -48, 128, 0, 0, 0, 0, -60, 32, 0, 0, 40, 0, -8, 0, 0, -36, -24, 0, 0, 0, 0, -84, 48, 0, 0, -44, 0, -176, 0, 0, -84, 56, 0, 0, 0, 0, -12, -112, 0, 0, -96, 0, 60, 0, 0, 72, 4, 0, 0, 0, 0, -56, 136, 0, 0, -4, 0, -100, 0, 0, -104, 8, 0, 0, 0, 0, 40, -100, 0, 0, 112, 0, -20, 0, 0, -64, 44, 0, 0, 0, 0, -52, -108, 0, 0, 20, 0, 100, 0, 0, 60, 60, 0, 0, 0, 0, -72, 16, 0, 0, 168, 0, 80, 0, 0, 84, -40, 0, 0, 0, 0, 28, -104, 0, 0, -8, 0, 120, 0, 0, -72, 0, 0, 0, 0, 0, -72, 48, 0, 0, -16, 0, 140, 0, 0, -32, 68, 0, 0, 0, 0, -36, 16, 0, 0, 244, 0, -68, 0, 0, 4, -88, 0, 0, 0, 0, -60, -88, 0, 0, -128, 0, -20, 0, 0, 148, -12, 0, 0, 0, 0, 104, 104, 0, 0, -16, 0, 124, 0, 0, 44, 168, 0, 0, 0, 0, 20, -56, 0, 0, -96, 0, -16, 0, 0, 120, -20, 0, 0, 0, 0, -68, -100, 0, 0, 56, 0, 8, 0, 0, -48, -32, 0, 0, 0, 0, -12, 144, 0, 0, 24, 0, -12, 0, 0, 136, 0, 0, 0, 0, 0, 76, 16, 0, 0, -128, 0, 20, 0, 0, -4, 120, 0, 0, 0, 0, -28, -148, 0, 0, 20, 0, 24, 0, 0, 88, 20, 0, 0, 0, 0, 56, -32, 0, 0, 76, 0, 20, 0, 0, -12, -104, 0, 0, 0, 0, -44, 0, 0, 0, -20, 0, 80, 0, 0, -40, 8, 0, 0, 0, 0, 12, -64, 0, 0, 56, 0, 80, 0, 0, 44, 8, 0, 0, 0, 0, -72, -44, 0, 0, -60, 0, -64, 0, 0, 92, -48, 0, 0, 0, 0, -148, 200, 0, 0, 92, 0, -128, 0, 0, -60, -24, 0, 0, 0, 0, -20, -280, 0, 0, -96, 0, -8, 0, 0, -16, -120, 0, 0, 0, 0, 0, -72, 0, 0, -40, 0, 136, 0, 0, 64, 0, 0, 0, 0, 0, -8, 128, 0, 0, 96, 0, -60, 0, 0, 20, -64, 0, 0, 0, 0, -88, 16, 0, 0, 52, 0, -128, 0, 0, -48, 40, 0, 0, 0, 0, -52, 68, 0, 0, 132, 0, -72, 0, 0, -60, -128, 0, 0, 0, 0, 84, -104, 0, 0, -28, 0, -116, 0, 0, -108, -52, 0, 0, 0, 0, 140, 0, 0, 0, -16, 0, 64, 0, 0, 80, -20, 0, 0, 0, 0, 24, 40, 0, 0, 224, 0, -188, 0, 0, 44, 124, 0, 0, 0, 0, 12, 64, 0, 0, 112, 0, -8, 0, 0, 44, 12, 0, 0, 0, 0, -4, 180, 0, 0, 24, 0, -136, 0, 0, -12, 64, 0, 0, 0, 0, 0, 84, 0, 0, -100, 0, 164, 0, 0, -152, -152, 0, 0, 0, 0, 48, 16, 0, 0, -48, 0, 84, 0, 0, -120, -88, 0, 0, 0, 0, 48, -112, 0, 0, 96, 0, -80, 0, 0, 88, -12, 0, 0, 0, 0, 100, 220, 0, 0, 12, 0, -80, 0, 0, 248, -104, 0, 0, 0, 0, 48, 116, 0, 0, 16, 0, 68, 0, 0, 220, -160, 0, 0, 0, 0, -56, -72, 0, 0, -176, 0, -24, 0, 0, 100, 136, 0, 0, 0, 0, -60, -52, 0, 0, 48, 0, 56, 0, 0, -44, -40, 0, 0, 0, 0, 108, 8, 0, 0, -64, 0, 20, 0, 0, -20, -104, 0, 0, 0, 0, -100, 232, 0, 0, 36, 0, -200, 0, 0, -96, -16, 0, 0, 0, 0, -76, 8, 0, 0, 184, 0, -248, 0, 0, -36, -180, 0, 0, 0, 0, -52, -228, 0, 0, -44, 0, -16, 0, 0, 144, 4, 0, 0, 0, 0, 24, 32, 0, 0, 16, 0, 24, 0, 0, -36, 24, 0, 0, 0, 0, 20, 120, 0, 0, -32, 0, -44, 0, 0, 160, 0, 0, 0, 0, 0, 228, 80, 0, 0, 116, 0, 88, 0, 0, 228, 84, 0, 0, 0, 0, 100, -32, 0, 0, 104, 0, -52, 0, 0, 72, 0, 0, 0, 0, 0, -8, 20, 0, 0, -128, 0, -96, 0, 0, -8, -4, 0, 0, 0, 0, -8, -48, 0, 0, -200, 0, 152, 0, 0, -100, 16, 0, 0, 0, 0, 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104, 0, 0, 0, 0, 56, 64, 0, 0, -296, 0, 12, 0, 0, -220, -84, 0, 0, 0, 0, -72, 68, 0, 0, -200, 0, -20, 0, 0, -332, 64, 0, 0, 0, 0, 80, 240, 0, 0, 244, 0, -116, 0, 0, 60, -72, 0, 0, 0, 0, 256, 100, 0, 0, 40, 0, -68, 0, 0, 60, 120, 0, 0, 0, 0, 176, 16, 0, 0, -84, 0, -148, 0, 0, 188, 152, 0, 0, 0, 0, -36, 120, 0, 0, -60, 0, -232, 0, 0, -124, -8, 0, 0, 0, 0, -24, 256, 0, 0, -160, 0, 72, 0, 0, -148, -192, 0, 0, 0, 0, 40, 60, 0, 0, 88, 0, 0, 0, 0, -160, -128, 0, 0, 0, 0, -16, 16, 0, 0, -56, 0, 272, 0, 0, -156, 136, 0, 0, 0, 0, -100, -160, 0, 0, 144, 0, 60, 0, 0, 20, 344, 0, 0, 0, 0, 8, 180, 0, 0, -12, 0, -4, 0, 0, 108, 120, 0, 0, 0, 0, 12, -172, 0, 0, -208, 0, 56, 0, 0, -240, 28, 0, 0, 0, 0, -60, -124, 0, 0, -4, 0, 140, 0, 0, 144, 116, 0, 0, 0, 0, -96, 112, 0, 0, 160, 0, -68, 0, 0, 56, -8, 0, 0, 0, 0, 0, 64, 0, 0, 104, 0, -288, 0, 0, -12, -64, 0, 0, 0, 0, -52, -216, 0, 0, -160, 0, 80, 0, 0, -184, -60, 0, 0, 0, 0, 200, 48, 0, 0, 32, 0, 180, 0, 0, -68, 72, 0, 0, 0, 0, 0, 4, 0, 0, 8, 0, 12, 0, 0, 188, -28, 0, 0, 0, 0, -128, 88, 0, 0, -64, 0, 300, 0, 0, -180, -56, 0, 0, 0, 0, -100, -204, 0, 0, -16, 0, -112, 0, 0, 72, 180, 0, 0, 0, 0, 4, -188, 0, 0, 24, 0, -56, 0, 0, -104, -80, 0, 0, 0, 0, -12, 128, 0, 0, -96, 0, 160, 0, 0, -20, -32, 0, 0, 0, 0, 44, -96, 0, 0, 80, 0, -104, 0, 0, -8, -80, 0, 0, 0, 0, 200, -244, 0, 0, 100, 0, 48, 0, 0, 192, 92, 0, 0, 0, 0, 152, 152, 0, 0, -140, 0, 72, 0, 0, -56, -96, 0, 0, 0, 0, -40, 0, 0, 0, -144, 0, 180, 0, 0, -156, 88, 0, 0, 0, 0, -164, -40, 0, 0, 96, 0, 216, 0, 0, 68, -136, 0, 0, 0, 0, -4, -76, 0, 0, -140, 0, -96, 0, 0, 64, 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, -1.1441228056353685], [0.0, 0.0], [-0.30901699437494745, 0.0], [-0.961044638791549, 0.276393202250021], [0.0, 0.0], [0.0, -1.2579152893870778], [0.0, -0.7905694150420949], [0.0, 0.0], [0.31622776601683794, 1.0995530884750164], [-0.3464248187165349, 0.0], [0.0, 0.0], [0.0, -0.5156099683714962], [-1.4392095701451701, 0.0], [0.0, 0.0], [-1.2135254915624212, 0.0], [0.0, 0.6499683825945922], [0.0, 0.0], [0.4177270772344506, 0.0], [0.2969791257395215, -0.08541019662496846], [0.0, 0.0], [0.0, 0.39635253553168587], [0.0, 0.08761652127806015], [0.0, 0.0], [0.8472135954999579, -0.5312524104416221], [-0.5899211236267599, 0.0], [0.0, 0.0], [0.0, 0.388717201904687], [-1.8646209598180523, 0.0], [0.0, 0.0], [-1.0781819625980078, 0.0], [0.0, 0.5978527750743422], [0.0, 0.0], [0.7436436494684076, 0.0], [0.34767923499295633, 1.208912744919371], [0.0, 0.0], [0.0, -0.1643989873053573], [0.0, -0.47793107559534187], [0.0, 0.0], [0.21850801222441055, 0.7597724979187762], [0.6467064619312147, 0.0], [0.0, 0.0], [0.0, 1.2572115266960513], [0.10705115625666965, 0.0], [0.0, 0.0], [0.10024406014466515, 0.0], [0.0, -1.7097097431835673], [0.0, 0.0], [-0.5823508752737758, 0.0], [-0.607817998335021, -0.9693163958558402], [0.0, 0.0], [0.0, 0.15933224269592144], [0.0, 0.22549937518228896], [0.0, 0.0], [0.3329297147718602, -0.09574946498394611], [-0.9944693545032496, 0.0], [0.0, 0.0], [0.0, 2.1333553639935436], [-0.920630872812763, 0.0], [0.0, 0.0], [-0.03775284885059986, 0.0], [0.0, 1.2335725720330808], [0.0, 0.0], [-0.5295084971874737, 0.0], [0.1425110902702299, 0.49552419581090656], [0.0, 0.0], [0.0, 0.5432732771799221], [0.0, -0.20085127602812677], [0.0, 0.0], [1.3831446414855055, -0.39778774180129983], [1.2285275656503167, 0.0], [0.0, 0.0], [0.0, 1.0617387567314538], [-0.18809263059941872, 0.0], [0.0, 0.0], [-0.12908476587602144, 0.0], [0.0, 0.435773076086676], [0.0, 0.0], [-1.0845585361697982, 0.0], [1.166252167702944, -0.33541019662496846], [0.0, 0.0], [0.0, -0.739911611647264], [0.0, -0.012698549431320975], [0.0, 0.0], [-0.17964684262658617, -0.6246486294765472], [1.4384043792006114, 0.0], [0.0, 0.0], [0.0, 0.27387286628879476], [-0.5842980864761298, 0.0], [0.0, 0.0], [-0.6485936625748927, 0.0], [0.0, -0.027074994062934774], [0.0, 0.0], [-1.9561179081933084, 0.0], [-0.40145436805423207, 0.11545692454337166], [0.0, 0.0], [0.0, 0.14082061615828054], [0.0, 0.666280917282445], [0.0, 0.0], [-0.2618033988749895, 0.164166023129116]], 'angles': [-0.40307194695262466, None, None, -0.3917409409649522, -0.2777073559345335, -0.458500395999084, 0.05267949229563977, -0.21651177493381923, 0.006974533321756671, -0.4411052485362666, -0.34061605395174616, None, -0.19759490055690923, 0.10818703619230324, -0.33682304077527636, 0.0179829095178436, -0.32613184419282826, -0.2530044546974523, 0.0437824433822639, -0.14472654195068405, 0.08906726127270859, -0.34121926028525174, -0.49898947475427724, -0.2971851666551583, 0.011215428581839599, -0.30963596269240257, 0.04842092752923353, 0.09589251627021439, -0.35483863757796136, 0.059436063098842355, 0.010324262343922239, -0.19594495157762012, -0.4612970636599941, -0.29488609419429407, -0.3403961575537816, -0.33256685852007006, -0.46742434145551076, -0.29789829300776083, -0.3571726081862626, -0.3424864557698405, -0.1457657852696556, -0.21983768379601643, -0.10807541454633351, -0.28103718754849677, -0.4121098096863861, -0.14214043720055877, -0.17340143415176446, 0.017395114053676893, -0.3614112464955523, -0.4096552815449567, -0.38208467678592717, -0.1554118940305385, -0.2846621982597316, -0.38733904209359726, -0.4340041759263196, 0.03925290728000859, -0.32912110642224224, -0.20359820122525507, -0.47403205346271565, -0.186419589798449, 0.053098696951999924, -0.4328511775794891, -0.4265209104870678, -0.3642803365524175, 0.03276366681004613, -0.4534888904061053, -0.38081578902810553, 0.05825299696708107, 0.017518254655452037, -0.18516522754363002, 0.17468400060747577, -0.22217339081973786, -0.31805527701550357, 0.01474069075667219, -0.12323330111310642, -0.46375227844978606, -0.2655407173919743, -0.45681011180732767, -0.15572316229412986, -0.12284933687494028, -0.40460788763121125, -0.15930758758904726, -0.3904229212308841, -0.40083564015315276, -0.37815402876488213, 0.04506350455341537, -0.4134757325783557, -0.31510945639924465, -0.24959934310892795, -0.46803231055491007, 0.03250984889628335, -0.26153287122454993, 0.06866927959918573, -0.08381652317468559, -0.2745767948356348, 0.1432452501916728, -0.20141494789396966, -0.3556757631197308, 0.13911099366177712, -0.2264881002808246], 'char_orbit_index': 3, 'conrey_index': 334, 'dual_conrey_index': 334, 'dual_embedding_index': 7, 'dual_embedding_m': 7, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 1.1640655130520277, 'embedding_root_real': 1.1640655130520277, 'hecke_orbit': 4, 'hecke_orbit_code': 13510936354621057, 'label': '1665.2.c.d.334.1', 'level': 1665, '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': 6660, 'analytic_conductor': 13.295091936543184, 'char_conductor': 5, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 2, 'char_parity': 1, 'char_values': [1665, 2, [371, 667, 631], [2, 1, 2]], 'conrey_index': 334, 'cusp_dim': 220, 'dim': 90, 'eis_dim': 16, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 11], 'hecke_orbit_code': 137472509569, 'hecke_orbit_dims': [2, 2, 2, 8, 18, 26, 32], 'label': '1665.2.c', 'level': 1665, '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': [3, 5, 37], 'level_radical': 555, 'mf_dim': 236, 'mf_new_dim': 90, 'num_forms': 7, 'prim_orbit_index': 2, 'relative_dim': 90, 'sturm_bound': 456, 'trace_bound': 5, 'trace_display': [0, 0, 2, 0], 'traces': [90, 0, 0, -86, 2, 0, 0, 0, 0, -18, -8, 0, 0, 0, 0, 102, 0, 0, 8, -4, 0, 0, 0, 0, 14, -12, 0, 0, 12, 0, -12, 0, 0, -28, 6, 0, 0, 0, 0, 50, -4, 0, 0, 24, 0, 16, 0, 0, -122, 36, 0, 0, 0, 0, -18, -24, 0, 0, -20, 0, -16, 0, 0, -110, 4, 0, 0, 0, 0, 32, 8, 0, 0, -10, 0, -32, 0, 0, 20, 52, 0, 0, 0, 0, 32, -80, 0, 0, -16, 0, 76, 0, 0, 52, 20, 0, 0, 0, 0, -58, -20, 0, 0, -20, 0, -8, 0, 0, 12, 120, 0, 0, 0, 0, -52, -20, 0, 0, -60, 0, 138, 0, 0, 16, -22, 0, 0, 0, 0, 8, -4, 0, 0, -92, 0, 4, 0, 0, -24, -40, 0, 0, 0, 0, -12, 24, 0, 0, 68, 0, 0, 0, 0, 44, 40, 0, 0, 0, 0, -114, -60, 0, 0, 36, 0, -136, 0, 0, -142, 96, 0, 0, 0, 0, -8, -56, 0, 0, 84, 0, 52, 0, 0, 80, 0, 0, 0, 0, 0, -28, -16, 0, 0, 60, 0, 262, 0, 0, 16, 56, 0, 0, 0, 0, 22, -80, 0, 0, 4, 0, 24, 0, 0, -68, 32, 0, 0, 0, 0, 48, -80, 0, 0, -84, 0, -260, 0, 0, -188, 56, 0, 0, 0, 0, -22, 0, 0, 0, 48, 0, -24, 0, 0, 152, -4, 0, 0, 0, 0, 74, 100, 0, 0, -16, 0, -10, 0, 0, 16, 100, 0, 0, 0, 0, 62, -208, 0, 0, 44, 0, 8, 0, 0, 388, -48, 0, 0, 0, 0, -64, -8, 0, 0, -88, 0, -320, 0, 0, -102, -76, 0, 0, 0, 0, -24, 30, 0, 0, 152, 0, 64, 0, 0, 116, -72, 0, 0, 0, 0, -60, 100, 0, 0, -180, 0, 36, 0, 0, 16, -24, 0, 0, 0, 0, 112, -16, 0, 0, 72, 0, -32, 0, 0, 0, -4, 0, 0, 0, 0, -196, 136, 0, 0, 208, 0, 188, 0, 0, 4, 40, 0, 0, 0, 0, -14, 156, 0, 0, -8, 0, -22, 0, 0, -376, -118, 0, 0, 0, 0, 8, -144, 0, 0, -96, 0, 4, 0, 0, 48, 88, 0, 0, 0, 0, 198, 76, 0, 0, 128, 0, -72, 0, 0, 108, -76, 0, 0, 0, 0, -134, -184, 0, 0, -148, 0, 240, 0, 0, -8, -172, 0, 0, 0, 0, 130, 84, 0, 0, 56, 0, -36, 0, 0, -4, -80, 0, 0, 0, 0, 40, 32, 0, 0, -312, 0, -240, 0, 0, 132, -240, 0, 0, 0, 0, -124, 104, 0, 0, -28, 0, 136, 0, 0, -16, -224, 0, 0, 0, 0, 296, -72, 0, 0, 124, 0, 260, 0, 0, -104, 24, 0, 0, 0, 0, -132, 344, 0, 0, -184, 0, -20, 0, 0, -246, -84, 0, 0, 0, 0, 194, -32, 0, 0, 96, 0, 148, 0, 0, -224, -48, 0, 0, 0, 0, 70, 168, 0, 0, 164, 0, 0, 0, 0, -244, -64, 0, 0, 0, 0, -172, -44, 0, 0, 100, 0, -108, 0, 0, -2, 320, 0, 0, 0, 0, 116, 432, 0, 0, -48, 0, 68, 0, 0, 340, 100, 0, 0, 0, 0, 152, 136, 0, 0, -44, 0, -96, 0, 0, 160, -28, 0, 0, 0, 0, -64, 16, 0, 0, 144, 0, -56, 0, 0, -136, -136, 0, 0, 0, 0, 8, 48, 0, 0, -340, 0, -524, 0, 0, 104, -4, 0, 0, 0, 0, 228, 156, 0, 0, 152, 0, -220, 0, 0, 8, 92, 0, 0, 0, 0, -68, -164, 0, 0, -316, 0, -296, 0, 0, 112, -24, 0, 0, 0, 0, 178, 412, 0, 0, -36, 0, -280, 0, 0, 336, 18, 0, 0, 0, 0, 114, -404, 0, 0, -36, 0, 384, 0, 0, -24, 172, 0, 0, 0, 0, 92, 276, 0, 0, -8, 0, -148, 0, 0, 368, 292, 0, 0, 0, 0, -16, 232, 0, 0, -440, 0, 394, 0, 0, 20, -460, 0, 0, 0, 0, -72, 72, 0, 0, -116, 0, -168, 0, 0, 264, -28, 0, 0, 0, 0, 136, 224, 0, 0, -88, 0, -300, 0, 0, 32, 112, 0, 0, 0, 0, -232, -280, 0, 0, 32, 0, -352, 0, 0, -268, 188, 0, 0, 0, 0, -176, -152, 0, 0, 32, 0, -608, 0, 0, -88, -22, 0, 0, 0, 0, 126, -308, 0, 0, 136, 0, -48, 0, 0, -280, -116, 0, 0, 0, 0, 80, -140, 0, 0, -180, 0, 248, 0, 0, 236, 16, 0, 0, 0, 0, 160, -460, 0, 0, -48, 0, 80, 0, 0, -430, -14, 0, 0, 0, 0, 208, 168, 0, 0, 104, 0, 148, 0, 0, -20, 140, 0, 0, 0, 0, 116, 492, 0, 0, -44, 0, -112, 0, 0, 12, 160, 0, 0, 0, 0, -64, -444, 0, 0, 24, 0, 456, 0, 0, -208, -32, 0, 0, 0, 0, -244, 72, 0, 0, 24, 0, 262, 0, 0, -40, -82, 0, 0, 0, 0, -308, 48, 0, 0, 360, 0, 56, 0, 0, 172, -352, 0, 0, 0, 0, 10, -48, 0, 0, -140, 0, -260, 0, 0, 68, -98, 0, 0, 0, 0, -48, -100, 0, 0, -48, 0, -332, 0, 0, 80, 364, 0, 0, 0, 0, -140, 568, 0, 0, 400, 0, 28, 0, 0, 580, 190, 0, 0, 0, 0, -376, 120, 0, 0, 28, 0, 916, 0, 0, -112, -488, 0, 0, 0, 0, -4, -400, 0, 0, 268, 0, 80, 0, 0, -96, -132, 0, 0, 0, 0, -72, 52, 0, 0, 596, 0, 64, 0, 0, -108, -392, 0, 0, 0, 0, -64, -92, 0, 0, -280, 0, 106, 0, 0, 48, -164, 0, 0, 0, 0, -52, -8, 0, 0, 120, 0, -312, 0, 0, 108, -280, 0, 0, 0, 0, 170, 144, 0, 0, -240, 0, -316, 0, 0, -132, -380, 0, 0, 0, 0, -370], '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: 43072412
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 334, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13510936354621057, 'source_is_minimal': False, 'source_label': '1665.2.c.d.334.1', 'source_level': 1665, 'target_conrey_index': 334, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510936354621057, 'target_is_minimal': False, 'target_label': '1665.2.c.d.334.1', 'target_level': 1665, 'twist_class_label': '555.2.c.b.334.2', 'twist_class_level': 555, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 43072413
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 334, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13510936354621057, 'source_is_minimal': False, 'source_label': '1665.2.c.d.334.1', 'source_level': 1665, 'target_conrey_index': 334, 'target_dim': 8, 'target_embedding_index': 8, 'target_hecke_orbit_code': 4503737099878955, 'target_is_minimal': True, 'target_label': '555.2.c.b.334.8', 'target_level': 555, 'twist_class_label': '555.2.c.b.334.2', 'twist_class_level': 555, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 43072414
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 334, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13510936354621057, 'source_is_minimal': False, 'source_label': '1665.2.c.d.334.1', 'source_level': 1665, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 216172782147346565, 'target_is_minimal': False, 'target_label': '8325.2.a.bw.1.4', 'target_level': 8325, 'twist_class_label': '555.2.c.b.334.2', 'twist_class_level': 555, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 43072415
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 334, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13510936354621057, 'source_is_minimal': False, 'source_label': '1665.2.c.d.334.1', 'source_level': 1665, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 202661983265235077, 'target_is_minimal': False, 'target_label': '8325.2.a.bt.1.1', 'target_level': 8325, 'twist_class_label': '555.2.c.b.334.2', 'twist_class_level': 555, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 43072416
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 334, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13510936354621057, 'source_is_minimal': False, 'source_label': '1665.2.c.d.334.1', 'source_level': 1665, 'target_conrey_index': 334, 'target_dim': 8, 'target_embedding_index': 7, 'target_hecke_orbit_code': 13510936354621057, 'target_is_minimal': False, 'target_label': '1665.2.c.d.334.7', 'target_level': 1665, 'twist_class_label': '555.2.c.b.334.2', 'twist_class_level': 555, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 43072417
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 334, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13510936354621057, 'source_is_minimal': False, 'source_label': '1665.2.c.d.334.1', 'source_level': 1665, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 99079191835708119, 'target_is_minimal': False, 'target_label': '2775.2.a.w.1.2', 'target_level': 2775, 'twist_class_label': '555.2.c.b.334.2', 'twist_class_level': 555, 'twisting_char_label': '15.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 43072418
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 334, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13510936354621057, 'source_is_minimal': False, 'source_label': '1665.2.c.d.334.1', 'source_level': 1665, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 108086391090449111, 'target_is_minimal': False, 'target_label': '2775.2.a.y.1.3', 'target_level': 2775, 'twist_class_label': '555.2.c.b.334.2', 'twist_class_level': 555, 'twisting_char_label': '15.8', 'twisting_conrey_index': 8, 'weight': 2}
  • id: 43072419
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 334, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 13510936354621057, 'source_is_minimal': False, 'source_label': '1665.2.c.d.334.1', 'source_level': 1665, 'target_conrey_index': 334, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4503737099878955, 'target_is_minimal': True, 'target_label': '555.2.c.b.334.2', 'target_level': 555, 'twist_class_label': '555.2.c.b.334.2', 'twist_class_level': 555, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2114250
    {'charpoly_factorization': [[[1, 0, 3, 0, 1], 2]], 'hecke_orbit_code': 13510936354621057, 'p': 2}
  • id: 2114251
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 13510936354621057, 'p': 3}
  • id: 2114252
    {'charpoly_factorization': [[[625, 0, -200, 0, 46, 0, -8, 0, 1], 1]], 'hecke_orbit_code': 13510936354621057, 'p': 5}
  • id: 2114253
    {'charpoly_factorization': [[[25, 0, 160, 0, 246, 0, 32, 0, 1], 1]], 'hecke_orbit_code': 13510936354621057, 'p': 7}
  • id: 2114254
    {'charpoly_factorization': [[[5, 10, -1, -4, 1], 2]], 'hecke_orbit_code': 13510936354621057, 'p': 11}
  • id: 2114255
    {'charpoly_factorization': [[[25, 0, 240, 0, 166, 0, 32, 0, 1], 1]], 'hecke_orbit_code': 13510936354621057, 'p': 13}
  • id: 2114256
    {'charpoly_factorization': [[[21025, 0, 8510, 0, 1171, 0, 62, 0, 1], 1]], 'hecke_orbit_code': 13510936354621057, 'p': 17}
  • id: 2114257
    {'charpoly_factorization': [[[-5, 30, -11, -4, 1], 2]], 'hecke_orbit_code': 13510936354621057, 'p': 19}
  • id: 2114258
    {'charpoly_factorization': [[[1681, 0, 9844, 0, 1846, 0, 84, 0, 1], 1]], 'hecke_orbit_code': 13510936354621057, 'p': 23}
  • id: 2114259
    {'charpoly_factorization': [[[-49, -112, 9, 12, 1], 2]], 'hecke_orbit_code': 13510936354621057, 'p': 29}
  • id: 2114260
    {'charpoly_factorization': [[[59, -14, -28, 2, 1], 2]], 'hecke_orbit_code': 13510936354621057, 'p': 31}
  • id: 2114261
    {'charpoly_factorization': [[[1, 0, 1], 4]], 'hecke_orbit_code': 13510936354621057, 'p': 37}
  • id: 2114262
    {'charpoly_factorization': [[[1289, -922, 238, -26, 1], 2]], 'hecke_orbit_code': 13510936354621057, 'p': 41}
  • id: 2114263
    {'charpoly_factorization': [[[25, 0, 610, 0, 691, 0, 78, 0, 1], 1]], 'hecke_orbit_code': 13510936354621057, 'p': 43}
  • id: 2114264
    {'charpoly_factorization': [[[1, 0, 3220, 0, 5878, 0, 180, 0, 1], 1]], 'hecke_orbit_code': 13510936354621057, 'p': 47}
  • id: 2114265
    {'charpoly_factorization': [[[176, 0, 68, 0, 1], 2]], 'hecke_orbit_code': 13510936354621057, 'p': 53}
  • id: 2114266
    {'charpoly_factorization': [[[-1949, -812, -41, 12, 1], 2]], 'hecke_orbit_code': 13510936354621057, 'p': 59}
  • id: 2114267
    {'charpoly_factorization': [[[-25, -90, -16, 6, 1], 2]], 'hecke_orbit_code': 13510936354621057, 'p': 61}
  • id: 2114268
    {'charpoly_factorization': [[[429025, 0, 99490, 0, 6351, 0, 142, 0, 1], 1]], 'hecke_orbit_code': 13510936354621057, 'p': 67}
  • id: 2114269
    {'charpoly_factorization': [[[2801, -1784, 391, -34, 1], 2]], 'hecke_orbit_code': 13510936354621057, 'p': 71}
  • id: 2114270
    {'charpoly_factorization': [[[13140625, 0, 1038750, 0, 27775, 0, 290, 0, 1], 1]], 'hecke_orbit_code': 13510936354621057, 'p': 73}
  • id: 2114271
    {'charpoly_factorization': [[[-6245, -2440, -221, 6, 1], 2]], 'hecke_orbit_code': 13510936354621057, 'p': 79}
  • id: 2114272
    {'charpoly_factorization': [[[121, 0, 9086, 0, 3391, 0, 126, 0, 1], 1]], 'hecke_orbit_code': 13510936354621057, 'p': 83}
  • id: 2114273
    {'charpoly_factorization': [[[-725, -120, 104, 24, 1], 2]], 'hecke_orbit_code': 13510936354621057, 'p': 89}
  • id: 2114274
    {'charpoly_factorization': [[[398161, 0, 229800, 0, 12238, 0, 200, 0, 1], 1]], 'hecke_orbit_code': 13510936354621057, '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': 4, 'label': '1665.2.c.d', 'level': 1665, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  Showing the first 100 of 258 matching records in this table.
  • id: 36049027
    {'hecke_orbit_code': 13510936354621057, 'n': 1, 'trace_an': 8}
  • id: 36049028
    {'hecke_orbit_code': 13510936354621057, 'n': 2, 'trace_an': 0}
  • id: 36049029
    {'hecke_orbit_code': 13510936354621057, 'n': 3, 'trace_an': 0}
  • id: 36049030
    {'hecke_orbit_code': 13510936354621057, 'n': 4, 'trace_an': 4}
  • id: 36049031
    {'hecke_orbit_code': 13510936354621057, 'n': 5, 'trace_an': 0}
  • id: 36049032
    {'hecke_orbit_code': 13510936354621057, 'n': 6, 'trace_an': 0}
  • id: 36049033
    {'hecke_orbit_code': 13510936354621057, 'n': 7, 'trace_an': 0}
  • id: 36049034
    {'hecke_orbit_code': 13510936354621057, 'n': 8, 'trace_an': 0}
  • id: 36049035
    {'hecke_orbit_code': 13510936354621057, 'n': 9, 'trace_an': 0}
  • id: 36049036
    {'hecke_orbit_code': 13510936354621057, 'n': 10, 'trace_an': 8}
  • id: 36049037
    {'hecke_orbit_code': 13510936354621057, 'n': 11, 'trace_an': 8}
  • id: 36049038
    {'hecke_orbit_code': 13510936354621057, 'n': 12, 'trace_an': 0}
  • id: 36049039
    {'hecke_orbit_code': 13510936354621057, 'n': 13, 'trace_an': 0}
  • id: 36049040
    {'hecke_orbit_code': 13510936354621057, 'n': 14, 'trace_an': -8}
  • id: 36049041
    {'hecke_orbit_code': 13510936354621057, 'n': 15, 'trace_an': 0}
  • id: 36049042
    {'hecke_orbit_code': 13510936354621057, 'n': 16, 'trace_an': -12}
  • id: 36049043
    {'hecke_orbit_code': 13510936354621057, 'n': 17, 'trace_an': 0}
  • id: 36049044
    {'hecke_orbit_code': 13510936354621057, 'n': 18, 'trace_an': 0}
  • id: 36049045
    {'hecke_orbit_code': 13510936354621057, 'n': 19, 'trace_an': 8}
  • id: 36049046
    {'hecke_orbit_code': 13510936354621057, 'n': 20, 'trace_an': 0}
  • id: 36049047
    {'hecke_orbit_code': 13510936354621057, 'n': 21, 'trace_an': 0}
  • id: 36049048
    {'hecke_orbit_code': 13510936354621057, 'n': 22, 'trace_an': 0}
  • id: 36049049
    {'hecke_orbit_code': 13510936354621057, 'n': 23, 'trace_an': 0}
  • id: 36049050
    {'hecke_orbit_code': 13510936354621057, 'n': 24, 'trace_an': 0}
  • id: 36049051
    {'hecke_orbit_code': 13510936354621057, 'n': 25, 'trace_an': 16}
  • id: 36049052
    {'hecke_orbit_code': 13510936354621057, 'n': 26, 'trace_an': 12}
  • id: 36049053
    {'hecke_orbit_code': 13510936354621057, 'n': 27, 'trace_an': 0}
  • id: 36049054
    {'hecke_orbit_code': 13510936354621057, 'n': 28, 'trace_an': 0}
  • id: 36049055
    {'hecke_orbit_code': 13510936354621057, 'n': 29, 'trace_an': -24}
  • id: 36049056
    {'hecke_orbit_code': 13510936354621057, 'n': 30, 'trace_an': 0}
  • id: 36049057
    {'hecke_orbit_code': 13510936354621057, 'n': 31, 'trace_an': -4}
  • id: 36049058
    {'hecke_orbit_code': 13510936354621057, 'n': 32, 'trace_an': 0}
  • id: 36049059
    {'hecke_orbit_code': 13510936354621057, 'n': 33, 'trace_an': 0}
  • id: 36049060
    {'hecke_orbit_code': 13510936354621057, 'n': 34, 'trace_an': -12}
  • id: 36049061
    {'hecke_orbit_code': 13510936354621057, 'n': 35, 'trace_an': -8}
  • id: 36049062
    {'hecke_orbit_code': 13510936354621057, 'n': 36, 'trace_an': 0}
  • id: 36049063
    {'hecke_orbit_code': 13510936354621057, 'n': 37, 'trace_an': 0}
  • id: 36049064
    {'hecke_orbit_code': 13510936354621057, 'n': 38, 'trace_an': 0}
  • id: 36049065
    {'hecke_orbit_code': 13510936354621057, 'n': 39, 'trace_an': 0}
  • id: 36049066
    {'hecke_orbit_code': 13510936354621057, 'n': 40, 'trace_an': 20}
  • id: 36049067
    {'hecke_orbit_code': 13510936354621057, 'n': 41, 'trace_an': 52}
  • id: 36049068
    {'hecke_orbit_code': 13510936354621057, 'n': 42, 'trace_an': 0}
  • id: 36049069
    {'hecke_orbit_code': 13510936354621057, 'n': 43, 'trace_an': 0}
  • id: 36049070
    {'hecke_orbit_code': 13510936354621057, 'n': 44, 'trace_an': 4}
  • id: 36049071
    {'hecke_orbit_code': 13510936354621057, 'n': 45, 'trace_an': 0}
  • id: 36049072
    {'hecke_orbit_code': 13510936354621057, 'n': 46, 'trace_an': -20}
  • id: 36049073
    {'hecke_orbit_code': 13510936354621057, 'n': 47, 'trace_an': 0}
  • id: 36049074
    {'hecke_orbit_code': 13510936354621057, 'n': 48, 'trace_an': 0}
  • id: 36049075
    {'hecke_orbit_code': 13510936354621057, 'n': 49, 'trace_an': -8}
  • id: 36049076
    {'hecke_orbit_code': 13510936354621057, 'n': 50, 'trace_an': 0}
  • id: 36049077
    {'hecke_orbit_code': 13510936354621057, 'n': 51, 'trace_an': 0}
  • id: 36049078
    {'hecke_orbit_code': 13510936354621057, 'n': 52, 'trace_an': 0}
  • id: 36049079
    {'hecke_orbit_code': 13510936354621057, 'n': 53, 'trace_an': 0}
  • id: 36049080
    {'hecke_orbit_code': 13510936354621057, 'n': 54, 'trace_an': 0}
  • id: 36049081
    {'hecke_orbit_code': 13510936354621057, 'n': 55, 'trace_an': 28}
  • id: 36049082
    {'hecke_orbit_code': 13510936354621057, 'n': 56, 'trace_an': 0}
  • id: 36049083
    {'hecke_orbit_code': 13510936354621057, 'n': 57, 'trace_an': 0}
  • id: 36049084
    {'hecke_orbit_code': 13510936354621057, 'n': 58, 'trace_an': 0}
  • id: 36049085
    {'hecke_orbit_code': 13510936354621057, 'n': 59, 'trace_an': -24}
  • id: 36049086
    {'hecke_orbit_code': 13510936354621057, 'n': 60, 'trace_an': 0}
  • id: 36049087
    {'hecke_orbit_code': 13510936354621057, 'n': 61, 'trace_an': -12}
  • id: 36049088
    {'hecke_orbit_code': 13510936354621057, 'n': 62, 'trace_an': 0}
  • id: 36049089
    {'hecke_orbit_code': 13510936354621057, 'n': 63, 'trace_an': 0}
  • id: 36049090
    {'hecke_orbit_code': 13510936354621057, 'n': 64, 'trace_an': -16}
  • id: 36049091
    {'hecke_orbit_code': 13510936354621057, 'n': 65, 'trace_an': -8}
  • id: 36049092
    {'hecke_orbit_code': 13510936354621057, 'n': 66, 'trace_an': 0}
  • id: 36049093
    {'hecke_orbit_code': 13510936354621057, 'n': 67, 'trace_an': 0}
  • id: 36049094
    {'hecke_orbit_code': 13510936354621057, 'n': 68, 'trace_an': 0}
  • id: 36049095
    {'hecke_orbit_code': 13510936354621057, 'n': 69, 'trace_an': 0}
  • id: 36049096
    {'hecke_orbit_code': 13510936354621057, 'n': 70, 'trace_an': 28}
  • id: 36049097
    {'hecke_orbit_code': 13510936354621057, 'n': 71, 'trace_an': 68}
  • id: 36049098
    {'hecke_orbit_code': 13510936354621057, 'n': 72, 'trace_an': 0}
  • id: 36049099
    {'hecke_orbit_code': 13510936354621057, 'n': 73, 'trace_an': 0}
  • id: 36049100
    {'hecke_orbit_code': 13510936354621057, 'n': 74, 'trace_an': -4}
  • id: 36049101
    {'hecke_orbit_code': 13510936354621057, 'n': 75, 'trace_an': 0}
  • id: 36049102
    {'hecke_orbit_code': 13510936354621057, 'n': 76, 'trace_an': 4}
  • id: 36049103
    {'hecke_orbit_code': 13510936354621057, 'n': 77, 'trace_an': 0}
  • id: 36049104
    {'hecke_orbit_code': 13510936354621057, 'n': 78, 'trace_an': 0}
  • id: 36049105
    {'hecke_orbit_code': 13510936354621057, 'n': 79, 'trace_an': -12}
  • id: 36049106
    {'hecke_orbit_code': 13510936354621057, 'n': 80, 'trace_an': 0}
  • id: 36049107
    {'hecke_orbit_code': 13510936354621057, 'n': 81, 'trace_an': 0}
  • id: 36049108
    {'hecke_orbit_code': 13510936354621057, 'n': 82, 'trace_an': 0}
  • id: 36049109
    {'hecke_orbit_code': 13510936354621057, 'n': 83, 'trace_an': 0}
  • id: 36049110
    {'hecke_orbit_code': 13510936354621057, 'n': 84, 'trace_an': 0}
  • id: 36049111
    {'hecke_orbit_code': 13510936354621057, 'n': 85, 'trace_an': 8}
  • id: 36049112
    {'hecke_orbit_code': 13510936354621057, 'n': 86, 'trace_an': 16}
  • id: 36049113
    {'hecke_orbit_code': 13510936354621057, 'n': 87, 'trace_an': 0}
  • id: 36049114
    {'hecke_orbit_code': 13510936354621057, 'n': 88, 'trace_an': 0}
  • id: 36049115
    {'hecke_orbit_code': 13510936354621057, 'n': 89, 'trace_an': -48}
  • id: 36049116
    {'hecke_orbit_code': 13510936354621057, 'n': 90, 'trace_an': 0}
  • id: 36049117
    {'hecke_orbit_code': 13510936354621057, 'n': 91, 'trace_an': -20}
  • id: 36049118
    {'hecke_orbit_code': 13510936354621057, 'n': 92, 'trace_an': 0}
  • id: 36049119
    {'hecke_orbit_code': 13510936354621057, 'n': 93, 'trace_an': 0}
  • id: 36049120
    {'hecke_orbit_code': 13510936354621057, 'n': 94, 'trace_an': -16}
  • id: 36049121
    {'hecke_orbit_code': 13510936354621057, 'n': 95, 'trace_an': -32}
  • id: 36049122
    {'hecke_orbit_code': 13510936354621057, 'n': 96, 'trace_an': 0}
  • id: 36049123
    {'hecke_orbit_code': 13510936354621057, 'n': 97, 'trace_an': 0}
  • id: 36049124
    {'hecke_orbit_code': 13510936354621057, 'n': 98, 'trace_an': 0}
  • id: 36049125
    {'hecke_orbit_code': 13510936354621057, 'n': 99, 'trace_an': 0}
  • id: 36049126
    {'hecke_orbit_code': 13510936354621057, 'n': 100, 'trace_an': -12}