Embedded newform data - 2325.2.c.l.1024.5

Formats: - HTML - YAML - JSON - 2026-09-07T03:15:24.545197

• 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': 9300, 'analytic_conductor': 18.565218469947688, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 5, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 2, 'char_parity': 1, 'char_values': [2325, 2, [776, 652, 1801], [2, 1, 2]], 'cm_discs': [], 'conrey_index': 1024, 'dim': 6, 'field_disc': -350464, 'field_disc_factorization': [[-1, 1], [2, 8], [37, 2]], 'field_poly': [2, -4, 4, 2, 2, -2, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[2, [25, 0, 31, 0, 11, 0, 1]], [7, [100, 0, 104, 0, 28, 0, 1]], [11, [8, -12, -2, 1]]], 'hecke_orbit': 12, 'hecke_orbit_code': 49539733373585685, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 2, 'hecke_ring_index_factorization': [[2, 1]], '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': '2325.2.c.l', 'level': 2325, '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, 31], 'level_radical': 465, 'minimal_twist': '465.2.a.g', 'nf_label': '6.0.350464.1', 'prim_orbit_index': 2, 'qexp_display': 'q+(\\beta _{3}-\\beta _{5})q^{2}-\\beta _{3}q^{3}+(-2-\\beta _{1}+\\cdots)q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 6, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2325.2.c', 'trace_display': [0, 0, 0, 0], 'trace_hash': 198036692465548641, 'trace_moments': [0, {'__RealLiteral__': 0, 'data': '5.733', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '188.077', 'prec': 20}, {'__RealLiteral__': 0, 'data': '34.234', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9252.555', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.516', 'prec': 10}, 'traces': [6, 0, 0, -10, 0, 6, 0, 0, -6, 0, 4, 0, 0, -12, 0, 10, 0, 0, 16, 0, 4, 0, 0, -18, 0, -28, 0, 0, -32, 0, -6, 0, 0, 12, 0, 10, 0, 0, 12, 0, 8, 0, 0, 28, 0, 16, 0, 0, -14, 0, 8, 0, 0, -6, 0, -56, 0, 0, 52, 0, -36, 0, 0, -66, 0, -4, 0, 0, -28, 0, 8, 0, 0, -8, 0, -32, 0, 0, -8, 0, 6, 0, 0, 8, 0, -60, 0, 0, 12, 0, -16, 0, 0, -8, 0, 22, 0, 0, -4, 0, 24, 0, 0, 48, 0, -60, 0, 0, -12, 0, -16, 0, 0, 40, 0, -4, 0, 0, -20, 0, -10, 0, 0, 10, 0, 12, 0, 0, 4, 0, -28, 0, 0, -40, 0, -28, 0, 0, 24, 0, 28, 0, 0, -10, 0, -16, 0, 0, 16, 0, -16, 0, 0, -88, 0, -40, 0, 0, -16, 0, -12, 0, 0, -128, 0, -24, 0, 0, 38, 0, -16, 0, 0, 4, 0, -116, 0, 0, 16, 0, 12, 0, 0, -112, 0, -6, 0, 0, -4, 0, 28, 0, 0, 48, 0, -38, 0, 0, -24, 0, 0, 0, 0, 24, 0, 0, 0, 0, 48, 0, 64, 0, 0, -152, 0, 18, 0, 0, 24, 0, 4, 0, 0, 52, 0, -28, 0, 0, 44, 0, 48, 0, 0, 28, 0, -144, 0, 0, 36, 0, -36, 0, 0, 140, 0, 80, 0, 0, 20, 0, 48, 0, 0, -8, 0, 10, 0, 0, 48, 0, 32, 0, 0, 68, 0, -88, 0, 0, 72, 0, 72, 0, 0, -92, 0, 44, 0, 0, 6, 0, 52, 0, 0, 4, 0, 24, 0, 0, 54, 0, 16, 0, 0, -34, 0, 44, 0, 0, 44, 0, -80, 0, 0, 0, 0, -12, 0, 0, -16, 0, -32, 0, 0, -48, 0, 160, 0, 0, -64, 0, 44, 0, 0, -10, 0, -96, 0, 0, 164, 0, -32, 0, 0, -96, 0, -68, 0, 0, -20, 0, -4, 0, 0, -20, 0, 68, 0, 0, 20, 0, -12, 0, 0, 88, 0, 32, 0, 0, -60, 0, 14, 0, 0, -40, 0, -100, 0, 0, -8, 0, -52, 0, 0, -64, 0, 328, 0, 0, 56, 0, 56, 0, 0, -50, 0, 112, 0, 0, -36, 0, 40, 0, 0, 76, 0, -28, 0, 0, 72, 0, -92, 0, 0, -160, 0, 128, 0, 0, 100, 0, -16, 0, 0, -16, 0, -108, 0, 0, 0, 0, 76, 0, 0, -28, 0, 4, 0, 0, 0, 0, 0, 0, 0, 12, 0, 68, 0, 0, 48, 0, 14, 0, 0, -28, 0, 60, 0, 0, 44, 0, -80, 0, 0, 24, 0, 8, 0, 0, -8, 0, -72, 0, 0, 104, 0, 4, 0, 0, 128, 0, -8, 0, 0, -76, 0, 44, 0, 0, 176, 0, 8, 0, 0, 6, 0, 6, 0, 0, 32, 0, 48, 0, 0, -104, 0, -10, 0, 0, -56, 0, 112, 0, 0, 56, 0, -56, 0, 0, 68, 0, -160, 0, 0, -60, 0, -52, 0, 0, -36, 0, 32, 0, 0, -200, 0, 240, 0, 0, -14, 0, -52, 0, 0, 0, 0, 252, 0, 0, -172, 0, -44, 0, 0, 100, 0, -12, 0, 0, 36, 0, -56, 0, 0, 56, 0, -144, 0, 0, -64, 0, 40, 0, 0, -108, 0, 44, 0, 0, 72, 0, 80, 0, 0, 112, 0, 66, 0, 0, -24, 0, 108, 0, 0, -156, 0, 204, 0, 0, -16, 0, 0, 0, 0, 4, 0, -72, 0, 0, -32, 0, 52, 0, 0, 144, 0, 120, 0, 0, -28, 0, -36, 0, 0, -124, 0, -48, 0, 0, 56, 0, 28, 0, 0, 68, 0, -84, 0, 0, 76, 0, -32, 0, 0, -36, 0, -56, 0, 0, -8, 0, 16, 0, 0, 44, 0, -48, 0, 0, -8, 0, -4, 0, 0, -80, 0, 328, 0, 0, 120, 0, -172, 0, 0, 248, 0, 8, 0, 0, 12, 0, 8, 0, 0, -104, 0, 14, 0, 0, -176, 0, -36, 0, 0, 32, 0, 188, 0, 0, -44, 0, 8, 0, 0, -16, 0, 32, 0, 0, -40, 0, 56, 0, 0, 44, 0, -68, 0, 0, 44, 0, 8, 0, 0, -68, 0, -240, 0, 0, 20, 0, 200, 0, 0, -20, 0, 38, 0, 0, -6, 0, 40, 0, 0, -176, 0, 104, 0, 0, -16, 0, 56, 0, 0, 18, 0, 148, 0, 0, -108, 0, 80, 0, 0, 56, 0, -8, 0, 0, 0, 0, 120, 0, 0, -24, 0, -224, 0, 0, 12, 0, -40, 0, 0, 60, 0, -296, 0, 0, 80, 0, 32, 0, 0, 262, 0, 120, 0, 0, -72, 0, 88, 0, 0, 108, 0, 72, 0, 0, 24, 0, -12, 0, 0, -124, 0, 28, 0, 0, -12, 0, -40, 0, 0, 112, 0, -96, 0, 0, 16, 0, -28, 0, 0, 260, 0, -40, 0, 0, -220, 0, 48, 0, 0, 48, 0, 48, 0, 0, 76, 0, 90, 0, 0, 8, 0, 8, 0, 0, -92, 0, -68, 0, 0, 24, 0, 176, 0, 0, 88, 0, -8, 0, 0, -22, 0, -184, 0, 0, 152, 0, -40, 0, 0, 144, 0, 44, 0, 0, -72, 0, -36, 0, 0, -76, 0, -264, 0, 0, -112, 0, 4, 0, 0, 72, 0, 104, 0, 0, 32, 0, 104, 0, 0, 124, 0, -100, 0, 0, -24, 0, 28, 0, 0, 16, 0, -252, 0, 0, -160, 0, -12, 0, 0, -56, 0, 92, 0, 0, -160, 0, -240, 0, 0, -8, 0, -48, 0, 0, 68, 0, 44, 0, 0, 244, 0, -40, 0, 0, -40, 0, -56, 0, 0, 60, 0, 68, 0, 0, -68, 0, 6, 0, 0, 276, 0, 28, 0, 0, 16, 0, -120, 0, 0, -152, 0, -252, 0, 0, 88, 0, 12, 0, 0, -152, 0, -36, 0, 0, -48, 0, 56, 0, 0, -56, 0, -100, 0, 0, 16, 0, -136, 0, 0, -64, 0, -8, 0, 0, -116, 0, -32, 0, 0, -14, 0, -16, 0, 0, 148, 0, 4, 0, 0, 182, 0, -40, 0, 0, -164, 0, -88, 0, 0, 344, 0, -64, 0, 0, -272, 0, 32, 0, 0, 4, 0, 32, 0, 0, 104, 0, -224, 0, 0, -12, 0, -116, 0, 0, -16, 0, -44, 0, 0, -216, 0, -224, 0, 0, -36, 0, 20, 0, 0, 88, 0, -188, 0, 0, -44, 0, 232, 0, 0, -224, 0, 12, 0, 0, 10, 0, -48, 0, 0, -224, 0, -4, 0, 0, -72, 0, 48, 0, 0, -60, 0, -220, 0, 0, 72, 0, -32, 0, 0, -148, 0, -10, 0, 0, 52, 0, 168, 0, 0, 92, 0, -176, 0, 0, 148, 0, -28, 0, 0, -12, 0, -48, 0, 0, 124, 0, -152, 0, 0, -240, 0, 0, 0, 0, 28, 0, -28, 0, 0, -112, 0, -130, 0, 0, -192, 0, -4, 0, 0, 152, 0, 16, 0, 0, 32, 0, -16, 0, 0, 184, 0, -202, 0, 0, 28, 0, 144, 0, 0, -136, 0, -12, 0, 0, 144, 0, -148, 0, 0, -20, 0, -188, 0, 0, -48, 0, 276, 0, 0, -40, 0, 40, 0, 0, -12, 0, 40, 0, 0, -296, 0, -144, 0, 0, -144, 0, -72, 0, 0, 28, 0, 28, 0, 0, -124, 0, 200, 0, 0, 84, 0, -92, 0, 0, 28, 0, -116, 0, 0, -60, 0, -144, 0, 0, -12, 0, -24, 0, 0, 64, 0, -56, 0, 0, -60, 0, 32, 0, 0, -464, 0, -8, 0, 0, -28, 0, -8, 0, 0, 24, 0, 8, 0, 0, -144, 0, -56, 0, 0, -196, 0, 200, 0, 0, 176, 0, -160, 0, 0, 144, 0, 10, 0, 0, 80, 0, -52, 0, 0, -4, 0, 252, 0, 0, -88, 0, -32, 0, 0, 16, 0, -180, 0, 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312, 0, 0, -204, 0, -24, 0, 0, 108, 0, 8, 0, 0, 88, 0, 184, 0, 0, 376, 0, -288, 0, 0, 204, 0, -16, 0, 0, 156, 0, 328, 0, 0, 140, 0, -52, 0, 0, 248, 0, 96, 0, 0, -12, 0, 132, 0, 0, -160, 0, -156, 0, 0, 32, 0, 128, 0, 0, -96, 0, 20, 0, 0, -200, 0, -64, 0, 0, -48, 0, 112, 0, 0, 84, 0, 56, 0, 0, 192, 0, 236, 0, 0, 132, 0, 32, 0, 0, 6, 0, 92, 0, 0, 44, 0, 138, 0, 0, 4, 0, -12, 0, 0, 4, 0, 88, 0, 0, -92, 0, -196, 0, 0, 216, 0, 4, 0, 0, 16, 0, -120, 0, 0, 300, 0, -184, 0, 0, -84, 0, 104, 0, 0, -28, 0, -176, 0, 0, 116, 0, 232, 0, 0, -160, 0, -80, 0, 0, 86, 0, 56, 0, 0, -68, 0, -236, 0, 0, -76, 0, -48, 0, 0, -24, 0, 140, 0, 0, 144, 0, -240, 0, 0, 120, 0, -16, 0, 0, 38, 0, 132, 0, 0, 48, 0, 120, 0, 0, 8, 0, 144, 0, 0, -92, 0, -76, 0, 0, 204, 0, 16, 0, 0, 76, 0, 24, 0, 0, 116, 0, -376, 0, 0, 100, 0, 164, 0, 0, 352, 0, -40, 0, 0, 0, 0, -8, 0, 0, -28, 0, -432, 0, 0, 64, 0, 136, 0, 0, 56, 0, 264, 0, 0, -52, 0, -104, 0, 0, 352, 0, -24, 0, 0, 100, 0, 280, 0, 0, 164, 0, -16, 0, 0, 10, 0, 12, 0, 0, 0, 0, 252, 0, 0, 76, 0, 44, 0, 0, 92, 0, 108, 0, 0, 76, 0, 80, 0, 0, -32, 0, -208, 0, 0, -64, 0, -48, 0, 0, -32, 0, 424, 0, 0, 56, 0, 36, 0, 0, -112, 0, 260, 0, 0, -64, 0, 64, 0, 0, 20, 0, -252, 0, 0, 152, 0, -48, 0, 0, -64, 0, -316, 0, 0, 208, 0, 136, 0, 0, 88, 0, 152, 0, 0, -128, 0, 104, 0, 0, 196, 0, -70, 0, 0, -128, 0, 88, 0, 0, -18, 0, 192, 0, 0, -60, 0, -272, 0, 0, 44, 0, -84, 0, 0, -32, 0, -132, 0, 0, -136, 0, 216, 0, 0, -272, 0, -24, 0, 0, 188, 0, 56, 0, 0, -64, 0, -160, 0, 0, 66, 0, -180, 0, 0, -4, 0, 8, 0, 0, -20, 0, 312, 0, 0, -336, 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, 1.088370889491458], [0.0, -0.5773502691896257], [-0.1845511930924277, 0.0], [0.0, 0.0], [0.6283712260260458, 0.0], [0.0, 1.8442254287685156], [0.0, 0.8875107433087427], [-0.3333333333333333, 0.0], [0.0, 0.0], [1.308611388865301, 0.0], [0.0, 0.10655068101117973], [0.0, 0.7042442830005593], [-2.0072012703315547, 0.0], [0.0, 0.0], [-1.150492050220589, 0.0], [0.0, 0.6380863971732531], [0.0, -0.3627902964971527], [1.7019322574264268, 0.0], [0.0, 0.0], [1.0647640477458553, 0.0], [0.0, 1.42425454129798], [0.0, -0.47764910619311324], [0.5124045665579875, 0.0], [0.0, 0.0], [-0.7664789767085929, 0.0], [0.0, 0.19245008972987526], [0.0, -0.34035400321062353], [-1.1312019147368881, 0.0], [0.0, 0.0], [-0.1796053020267749, 0.0], [0.0, -0.3646513127426912], [0.0, -0.7555271376259916], [-0.6944746596638532, 0.0], [0.0, 0.0], [0.06151706436414257, 0.0], [0.0, -0.9536759114870087], [0.0, 1.8523335248694055], [0.4065956263656279, 0.0], [0.0, 0.0], [-0.02864499816140488, 0.0], [0.0, 1.158858193743682], [0.0, 0.9907723023887871], [-0.24150579310943016, 0.0], [0.0, 0.0], [0.5198593825721985, 0.0], [0.0, -1.4306689290095131], [0.0, 0.6642368948953816], [-2.4011674321164147, 0.0], [0.0, 0.0], [0.3683993531742161, 0.0], [0.0, -0.1299691226562745], [0.0, 0.25631904999512256], [-0.20945707534201527, 0.0], [0.0, 0.0], [-1.63676988111523, 0.0], [0.0, -0.982611046967655], [0.0, -1.2311672341366273], [1.0295718267278244, 0.0], [0.0, 0.0], [-1.0443655234743412, 0.0], [0.0, -0.19547718232426298], [0.0, -0.6147418095895052], [-0.7536161766165985, 0.0], [0.0, 0.0], [0.8222937428129357, 0.0], [0.0, -1.2804982679503554], [0.0, -0.11775960589437254], [-0.27577084003877805, 0.0], [0.0, 0.0], [0.3762200497215971, 0.0], [0.0, -0.2958369144362476], [0.0, 1.8211260500786248], [1.0379531000716928, 0.0], [0.0, 0.0], [-0.31409362867053586, 0.0], [0.0, 2.413374399721472], [0.0, 0.442526843530895], [0.7012521916211584, 0.0], [0.0, 0.0], [0.1111111111111111, 0.0], [0.0, -0.03117638212840941], [0.0, -0.701352054260979], [-0.19650347537342028, 0.0], [0.0, 0.0], [-1.0783277320343843, 0.0], [0.0, 0.6530997299811624], [0.0, 1.1614066664341294], [0.7960859105768497, 0.0], [0.0, 0.0], [-1.2987852147744823, 0.0], [0.0, 0.08815071242747075], [0.0, 0.10369516947304253], [1.5570984148338756, 0.0], [0.0, 0.0], [-0.21053153357234317, 0.0], [0.0, 1.6532185229049747], [0.0, -2.6133607339104628], [-0.43620379628843364, 0.0], [0.0, 0.0]], 'angles': [0.09158060371604769, None, None, 0.18676924222470306, -0.13648048618105507, 0.05726991617326525, 0.05168075406785289, -0.08800859206718703, -0.4616189585403278, -0.34567787020431917, None, -0.4208914257009744, -0.252279574467017, 0.08248671335091015, -0.373137176532013, 0.020453475621604874, -0.16393570496638177, -0.33744105848433564, -0.38941555749599743, -0.21988192246167232, 0.18217576035580701, -0.19298440359496757, -0.4429759179954979, -0.18484474710782992, 0.15486662911910817, -0.19139494074900987, -0.32814438911373117, 0.10759157642707569, -0.3312805145163506, -0.425419824763438, 0.12168479976642907, -0.3183931252359625, 0.020071496051265156, -0.29811581098715967, -0.19342235205253877, -0.2729122442127006, 0.02871541583682574, 0.10285092358178896, 0.06484378137534395, -0.4566402724977135, -0.3420139968509237, -0.23815918598551486, -0.2399078534913187, 0.028004464336880395, -0.37130314395208264, -0.2384286707297039, -0.181125409842353, -0.4327033413830447, 0.06604357227335901, -0.2832783084827033, -0.4163841571267704, -0.034448775424599336, -0.4047090551729551, -0.2816292100968081, -0.43271597244593546, -0.318331897290987, -0.14102788415281525, -0.24526450236345115, 0.08157909496011956, -0.1342955075382771, 0.009734759720971924, -0.38670694272766465, -0.45750311647278785, -0.20780205462212595, -0.48242268531788535, 0.01622900860364815, -0.3653423380920075, 0.013858165159864192, -0.3100321458176523, -0.272701118120869, -0.3261919888294897, -0.2598045936210729, 0.05207334229593336, 0.024280231252830103, -0.24008235555299431, 0.1593278886289104, -0.3302559640434835, -0.3800942842711352, -0.35048964763044527, -0.22166561082733513, -0.23273672350333913, -0.09115013379282326, -0.18029496942333087, 0.1706697149338965, -0.20253237269914923, 0.017341365059328033, -0.18102402453906608, -0.4933474546579804, -0.39495146316863444, -0.2976633871992211, 0.08709408346184462, -0.11818326992081035, 0.08865696569609599, -0.16174732418778215, -0.23857656516336848, -0.47307400597873595, -0.3540402036132856, -0.1448470651472449, -0.488388344710688, -0.27595434120302237], 'char_orbit_index': 3, 'conrey_index': 1024, 'dual_conrey_index': 1024, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 5, 'embedding_m': 5, 'embedding_root_imag': -0.8546376797184614, 'embedding_root_real': -0.8546376797184614, 'hecke_orbit': 12, 'hecke_orbit_code': 49539733373585685, 'label': '2325.2.c.l.1024.5', 'level': 2325, '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': 9300, 'analytic_conductor': 18.565218469947688, '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': [2325, 2, [776, 652, 1801], [2, 1, 2]], 'conrey_index': 1024, 'cusp_dim': 308, 'dim': 88, 'eis_dim': 24, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 7, 11], 'hecke_orbit_code': 137472510229, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 4, 4, 4, 6, 6, 6, 6, 6, 8, 12, 12], 'label': '2325.2.c', 'level': 2325, '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, 31], 'level_radical': 465, 'mf_dim': 332, 'mf_new_dim': 88, 'num_forms': 18, 'prim_orbit_index': 2, 'relative_dim': 88, 'sturm_bound': 640, 'trace_bound': 14, 'trace_display': [0, 0, 0, 0], 'traces': [88, 0, 0, -84, 0, 0, 0, 0, -88, 0, 8, 0, 0, -4, 0, 60, 0, 0, 8, 0, 0, 0, 0, 0, 0, -8, 0, 0, 32, 0, -12, 0, 0, 56, 0, 84, 0, 0, 16, 0, 0, 0, 0, 8, 0, -48, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, -24, 0, 0, 8, 0, 16, 0, 0, 8, 0, 48, 0, 0, -32, 0, 76, 0, 0, -64, 0, 88, 0, 0, -16, 0, -8, 0, 0, -16, 0, 48, 0, 0, -48, 0, -40, 0, 0, -8, 0, -120, 0, 0, 72, 0, 72, 0, 0, 88, 0, -32, 0, 0, 48, 0, -168, 0, 0, 72, 0, 96, 0, 0, 24, 0, 4, 0, 0, 8, 0, 0, 0, 0, -72, 0, -56, 0, 0, 8, 0, 16, 0, 0, -60, 0, -24, 0, 0, 168, 0, 8, 0, 0, 80, 0, -32, 0, 0, 32, 0, 144, 0, 0, -252, 0, -40, 0, 0, -136, 0, -8, 0, 0, -56, 0, 24, 0, 0, 8, 0, -16, 0, 0, -48, 0, -12, 0, 0, 0, 0, 24, 0, 0, 188, 0, 0, 0, 0, -136, 0, 48, 0, 0, 64, 0, 324, 0, 0, -88, 0, -88, 0, 0, 116, 0, 0, 0, 0, 16, 0, -112, 0, 0, -68, 0, -204, 0, 0, 144, 0, 64, 0, 0, 8, 0, -180, 0, 0, -8, 0, 208, 0, 0, 160, 0, 0, 0, 0, -24, 0, -128, 0, 0, 8, 0, -156, 0, 0, 16, 0, -32, 0, 0, 176, 0, -268, 0, 0, 8, 0, 224, 0, 0, -24, 0, 96, 0, 0, 12, 0, 48, 0, 0, -284, 0, 0, 0, 0, -16, 0, 80, 0, 0, -80, 0, 168, 0, 0, -192, 0, -216, 0, 0, -300, 0, -56, 0, 0, -32, 0, 8, 0, 0, -28, 0, 144, 0, 0, 152, 0, -32, 0, 0, -84, 0, -180, 0, 0, 8, 0, -56, 0, 0, 48, 0, 192, 0, 0, -88, 0, 0, 0, 0, 184, 0, 344, 0, 0, 120, 0, -16, 0, 0, -16, 0, 48, 0, 0, -232, 0, 312, 0, 0, -216, 0, 8, 0, 0, 0, 0, -72, 0, 0, -312, 0, -16, 0, 0, -48, 0, -72, 0, 0, 80, 0, -348, 0, 0, 88, 0, 56, 0, 0, 32, 0, -8, 0, 0, -96, 0, -136, 0, 0, 324, 0, -48, 0, 0, 160, 0, 8, 0, 0, 48, 0, -88, 0, 0, 192, 0, -248, 0, 0, 104, 0, 16, 0, 0, 104, 0, -8, 0, 0, 60, 0, -236, 0, 0, -112, 0, 128, 0, 0, 32, 0, -160, 0, 0, 40, 0, 248, 0, 0, 208, 0, -128, 0, 0, 0, 0, -240, 0, 0, 376, 0, -92, 0, 0, 80, 0, 144, 0, 0, 176, 0, -640, 0, 0, 312, 0, -416, 0, 0, -20, 0, 0, 0, 0, 16, 0, -72, 0, 0, 104, 0, -48, 0, 0, -104, 0, -104, 0, 0, 0, 0, 32, 0, 0, 176, 0, -104, 0, 0, 60, 0, -40, 0, 0, -136, 0, -72, 0, 0, 120, 0, 176, 0, 0, 48, 0, 8, 0, 0, 40, 0, 24, 0, 0, 112, 0, -80, 0, 0, -112, 0, 48, 0, 0, 24, 0, 560, 0, 0, -216, 0, 360, 0, 0, 16, 0, -48, 0, 0, 208, 0, -112, 0, 0, 48, 0, 248, 0, 0, 556, 0, -8, 0, 0, -128, 0, -40, 0, 0, -424, 0, -72, 0, 0, 32, 0, -64, 0, 0, -16, 0, 64, 0, 0, -320, 0, -88, 0, 0, -208, 0, 224, 0, 0, 56, 0, 0, 0, 0, -44, 0, -440, 0, 0, -88, 0, -8, 0, 0, 48, 0, 88, 0, 0, 72, 0, 56, 0, 0, 140, 0, -168, 0, 0, -48, 0, 280, 0, 0, 200, 0, 376, 0, 0, -416, 0, -32, 0, 0, 24, 0, 340, 0, 0, 24, 0, -336, 0, 0, -8, 0, 32, 0, 0, 40, 0, 288, 0, 0, 624, 0, 236, 0, 0, -400, 0, 24, 0, 0, -76, 0, 20, 0, 0, -192, 0, -56, 0, 0, 360, 0, 72, 0, 0, -56, 0, -296, 0, 0, 120, 0, 56, 0, 0, 184, 0, 64, 0, 0, -64, 0, -16, 0, 0, -240, 0, 168, 0, 0, 264, 0, -8, 0, 0, -88, 0, 112, 0, 0, 8, 0, 8, 0, 0, -48, 0, -48, 0, 0, 36, 0, -172, 0, 0, -80, 0, 184, 0, 0, 240, 0, 16, 0, 0, 0, 0, 288, 0, 0, -364, 0, -784, 0, 0, 64, 0, -32, 0, 0, 8, 0, -904, 0, 0, 176, 0, 168, 0, 0, 512, 0, 304, 0, 0, -240, 0, -112, 0, 0, 12, 0, 472, 0, 0, 16, 0, 16, 0, 0, -160, 0, 0, 0, 0, -176, 0, -80, 0, 0, -480, 0, -264, 0, 0, -48, 0, -240, 0, 0, -488, 0, -20, 0, 0, -400, 0, 80, 0, 0, 48, 0, 488, 0, 0, 120, 0, -176, 0, 0, 172, 0, 48, 0, 0, 176, 0, -224, 0, 0, 128, 0, 216, 0, 0, -264, 0, 64, 0, 0, 40, 0, 424, 0, 0, 232, 0, 168, 0, 0, -128, 0, 32, 0, 0, -184, 0, -96, 0, 0, 272, 0, -244, 0, 0, -184, 0, 8, 0, 0, -48, 0, 244, 0, 0, -48, 0, -56, 0, 0, 304, 0, -88, 0, 0, 120, 0, 48, 0, 0, -312, 0, -104, 0, 0, 24, 0, -128, 0, 0, -416, 0, 328, 0, 0, 144, 0, 88, 0, 0, -692, 0, -72, 0, 0, 112, 0, 96, 0, 0, 308, 0, -240, 0, 0, -96, 0, 216, 0, 0, -72, 0, 656, 0, 0, 464, 0, 88, 0, 0, -200, 0, -224, 0, 0, 112, 0, 248, 0, 0, -296, 0, 400, 0, 0, 24, 0, -88, 0, 0, -160, 0, 152, 0, 0, -224, 0, -104, 0, 0, -204, 0, -208, 0, 0, 32, 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: 47380202
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1024, 'source_dim': 6, 'source_embedding_index': 5, 'source_hecke_orbit_code': 49539733373585685, 'source_is_minimal': False, 'source_label': '2325.2.c.l.1024.5', 'source_level': 2325, 'target_conrey_index': 1024, 'target_dim': 6, 'target_embedding_index': 5, 'target_hecke_orbit_code': 49539733373585685, 'target_is_minimal': False, 'target_label': '2325.2.c.l.1024.5', 'target_level': 2325, 'twist_class_label': '465.2.a.g.1.2', 'twist_class_level': 465, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 47380203
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1024, 'source_dim': 6, 'source_embedding_index': 5, 'source_hecke_orbit_code': 49539733373585685, 'source_is_minimal': False, 'source_label': '2325.2.c.l.1024.5', 'source_level': 2325, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 67553994444114197, 'target_is_minimal': False, 'target_label': '2325.2.a.p.1.2', 'target_level': 2325, 'twist_class_label': '465.2.a.g.1.2', 'twist_class_level': 465, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 47380204
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1024, 'source_dim': 6, 'source_embedding_index': 5, 'source_hecke_orbit_code': 49539733373585685, 'source_is_minimal': False, 'source_label': '2325.2.c.l.1024.5', 'source_level': 2325, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 27021597797777873, 'target_is_minimal': True, 'target_label': '465.2.a.g.1.2', 'target_level': 465, 'twist_class_label': '465.2.a.g.1.2', 'twist_class_level': 465, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 47380205
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1024, 'source_dim': 6, 'source_embedding_index': 5, 'source_hecke_orbit_code': 49539733373585685, 'source_is_minimal': False, 'source_label': '2325.2.c.l.1024.5', 'source_level': 2325, 'target_conrey_index': 1024, 'target_dim': 6, 'target_embedding_index': 2, 'target_hecke_orbit_code': 49539733373585685, 'target_is_minimal': False, 'target_label': '2325.2.c.l.1024.2', 'target_level': 2325, 'twist_class_label': '465.2.a.g.1.2', 'twist_class_level': 465, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 47380206
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1024, 'source_dim': 6, 'source_embedding_index': 5, 'source_hecke_orbit_code': 49539733373585685, 'source_is_minimal': False, 'source_label': '2325.2.c.l.1024.5', 'source_level': 2325, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 153122387364158271, 'target_is_minimal': False, 'target_label': '6975.2.a.bi.1.2', 'target_level': 6975, 'twist_class_label': '465.2.a.g.1.2', 'twist_class_level': 465, 'twisting_char_label': '15.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 47380207
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1024, 'source_dim': 6, 'source_embedding_index': 5, 'source_hecke_orbit_code': 49539733373585685, 'source_is_minimal': False, 'source_label': '2325.2.c.l.1024.5', 'source_level': 2325, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 31525197425149299, 'target_is_minimal': False, 'target_label': '1395.2.a.h.1.2', 'target_level': 1395, 'twist_class_label': '465.2.a.g.1.2', 'twist_class_level': 465, 'twisting_char_label': '15.8', 'twisting_conrey_index': 8, 'weight': 2}
  • id: 47380208
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1024, 'source_dim': 6, 'source_embedding_index': 5, 'source_hecke_orbit_code': 49539733373585685, 'source_is_minimal': False, 'source_label': '2325.2.c.l.1024.5', 'source_level': 2325, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 171136785873640720, 'target_is_minimal': False, 'target_label': '7440.2.a.bm.1.1', 'target_level': 7440, 'twist_class_label': '465.2.a.g.1.2', 'twist_class_level': 465, 'twisting_char_label': '20.3', 'twisting_conrey_index': 3, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2578200
    {'charpoly_factorization': [[[25, 0, 31, 0, 11, 0, 1], 1]], 'hecke_orbit_code': 49539733373585685, 'p': 2}
  • id: 2578201
    {'charpoly_factorization': [[[1, 0, 1], 3]], 'hecke_orbit_code': 49539733373585685, 'p': 3}
  • id: 2578202
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 49539733373585685, 'p': 5}
  • id: 2578203
    {'charpoly_factorization': [[[100, 0, 104, 0, 28, 0, 1], 1]], 'hecke_orbit_code': 49539733373585685, 'p': 7}
  • id: 2578204
    {'charpoly_factorization': [[[8, -12, -2, 1], 2]], 'hecke_orbit_code': 49539733373585685, 'p': 11}
  • id: 2578205
    {'charpoly_factorization': [[[4, 0, 88, 0, 20, 0, 1], 1]], 'hecke_orbit_code': 49539733373585685, 'p': 13}
  • id: 2578206
    {'charpoly_factorization': [[[400, 0, 176, 0, 24, 0, 1], 1]], 'hecke_orbit_code': 49539733373585685, 'p': 17}
  • id: 2578207
    {'charpoly_factorization': [[[32, 0, -8, 1], 2]], 'hecke_orbit_code': 49539733373585685, 'p': 19}
  • id: 2578208
    {'charpoly_factorization': [[[5776, 0, 1472, 0, 76, 0, 1], 1]], 'hecke_orbit_code': 49539733373585685, 'p': 23}
  • id: 2578209
    {'charpoly_factorization': [[[10, 62, 16, 1], 2]], 'hecke_orbit_code': 49539733373585685, 'p': 29}
  • id: 2578210
    {'charpoly_factorization': [[[1, 1], 6]], 'hecke_orbit_code': 49539733373585685, 'p': 31}
  • id: 2578211
    {'charpoly_factorization': [[[5476, 0, 1184, 0, 64, 0, 1], 1]], 'hecke_orbit_code': 49539733373585685, 'p': 37}
  • id: 2578212
    {'charpoly_factorization': [[[-16, -88, -4, 1], 2]], 'hecke_orbit_code': 49539733373585685, 'p': 41}
  • id: 2578213
    {'charpoly_factorization': [[[40000, 0, 4400, 0, 124, 0, 1], 1]], 'hecke_orbit_code': 49539733373585685, 'p': 43}
  • id: 2578214
    {'charpoly_factorization': [[[1926544, 0, 47328, 0, 380, 0, 1], 1]], 'hecke_orbit_code': 49539733373585685, 'p': 47}
  • id: 2578215
    {'charpoly_factorization': [[[10000, 0, 3584, 0, 208, 0, 1], 1]], 'hecke_orbit_code': 49539733373585685, 'p': 53}
  • id: 2578216
    {'charpoly_factorization': [[[-466, 202, -26, 1], 2]], 'hecke_orbit_code': 49539733373585685, 'p': 59}
  • id: 2578217
    {'charpoly_factorization': [[[-296, 44, 18, 1], 2]], 'hecke_orbit_code': 49539733373585685, 'p': 61}
  • id: 2578218
    {'charpoly_factorization': [[[75076, 0, 18496, 0, 272, 0, 1], 1]], 'hecke_orbit_code': 49539733373585685, 'p': 67}
  • id: 2578219
    {'charpoly_factorization': [[[2, 2, -4, 1], 2]], 'hecke_orbit_code': 49539733373585685, 'p': 71}
  • id: 2578220
    {'charpoly_factorization': [[[17956, 0, 7312, 0, 272, 0, 1], 1]], 'hecke_orbit_code': 49539733373585685, 'p': 73}
  • id: 2578221
    {'charpoly_factorization': [[[500, -144, 4, 1], 2]], 'hecke_orbit_code': 49539733373585685, 'p': 79}
  • id: 2578222
    {'charpoly_factorization': [[[150544, 0, 9696, 0, 188, 0, 1], 1]], 'hecke_orbit_code': 49539733373585685, 'p': 83}
  • id: 2578223
    {'charpoly_factorization': [[[50, -18, -6, 1], 2]], 'hecke_orbit_code': 49539733373585685, 'p': 89}
  • id: 2578224
    {'charpoly_factorization': [[[2930944, 0, 84992, 0, 544, 0, 1], 1]], 'hecke_orbit_code': 49539733373585685, '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': 12, 'label': '2325.2.c.l', 'level': 2325, '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: 56833765
    {'hecke_orbit_code': 49539733373585685, 'n': 1, 'trace_an': 6}
  • id: 56833766
    {'hecke_orbit_code': 49539733373585685, 'n': 2, 'trace_an': 0}
  • id: 56833767
    {'hecke_orbit_code': 49539733373585685, 'n': 3, 'trace_an': 0}
  • id: 56833768
    {'hecke_orbit_code': 49539733373585685, 'n': 4, 'trace_an': -10}
  • id: 56833769
    {'hecke_orbit_code': 49539733373585685, 'n': 5, 'trace_an': 0}
  • id: 56833770
    {'hecke_orbit_code': 49539733373585685, 'n': 6, 'trace_an': 6}
  • id: 56833771
    {'hecke_orbit_code': 49539733373585685, 'n': 7, 'trace_an': 0}
  • id: 56833772
    {'hecke_orbit_code': 49539733373585685, 'n': 8, 'trace_an': 0}
  • id: 56833773
    {'hecke_orbit_code': 49539733373585685, 'n': 9, 'trace_an': -6}
  • id: 56833774
    {'hecke_orbit_code': 49539733373585685, 'n': 10, 'trace_an': 0}
  • id: 56833775
    {'hecke_orbit_code': 49539733373585685, 'n': 11, 'trace_an': 4}
  • id: 56833776
    {'hecke_orbit_code': 49539733373585685, 'n': 12, 'trace_an': 0}
  • id: 56833777
    {'hecke_orbit_code': 49539733373585685, 'n': 13, 'trace_an': 0}
  • id: 56833778
    {'hecke_orbit_code': 49539733373585685, 'n': 14, 'trace_an': -12}
  • id: 56833779
    {'hecke_orbit_code': 49539733373585685, 'n': 15, 'trace_an': 0}
  • id: 56833780
    {'hecke_orbit_code': 49539733373585685, 'n': 16, 'trace_an': 10}
  • id: 56833781
    {'hecke_orbit_code': 49539733373585685, 'n': 17, 'trace_an': 0}
  • id: 56833782
    {'hecke_orbit_code': 49539733373585685, 'n': 18, 'trace_an': 0}
  • id: 56833783
    {'hecke_orbit_code': 49539733373585685, 'n': 19, 'trace_an': 16}
  • id: 56833784
    {'hecke_orbit_code': 49539733373585685, 'n': 20, 'trace_an': 0}
  • id: 56833785
    {'hecke_orbit_code': 49539733373585685, 'n': 21, 'trace_an': 4}
  • id: 56833786
    {'hecke_orbit_code': 49539733373585685, 'n': 22, 'trace_an': 0}
  • id: 56833787
    {'hecke_orbit_code': 49539733373585685, 'n': 23, 'trace_an': 0}
  • id: 56833788
    {'hecke_orbit_code': 49539733373585685, 'n': 24, 'trace_an': -18}
  • id: 56833789
    {'hecke_orbit_code': 49539733373585685, 'n': 25, 'trace_an': 0}
  • id: 56833790
    {'hecke_orbit_code': 49539733373585685, 'n': 26, 'trace_an': -28}
  • id: 56833791
    {'hecke_orbit_code': 49539733373585685, 'n': 27, 'trace_an': 0}
  • id: 56833792
    {'hecke_orbit_code': 49539733373585685, 'n': 28, 'trace_an': 0}
  • id: 56833793
    {'hecke_orbit_code': 49539733373585685, 'n': 29, 'trace_an': -32}
  • id: 56833794
    {'hecke_orbit_code': 49539733373585685, 'n': 30, 'trace_an': 0}
  • id: 56833795
    {'hecke_orbit_code': 49539733373585685, 'n': 31, 'trace_an': -6}
  • id: 56833796
    {'hecke_orbit_code': 49539733373585685, 'n': 32, 'trace_an': 0}
  • id: 56833797
    {'hecke_orbit_code': 49539733373585685, 'n': 33, 'trace_an': 0}
  • id: 56833798
    {'hecke_orbit_code': 49539733373585685, 'n': 34, 'trace_an': 12}
  • id: 56833799
    {'hecke_orbit_code': 49539733373585685, 'n': 35, 'trace_an': 0}
  • id: 56833800
    {'hecke_orbit_code': 49539733373585685, 'n': 36, 'trace_an': 10}
  • id: 56833801
    {'hecke_orbit_code': 49539733373585685, 'n': 37, 'trace_an': 0}
  • id: 56833802
    {'hecke_orbit_code': 49539733373585685, 'n': 38, 'trace_an': 0}
  • id: 56833803
    {'hecke_orbit_code': 49539733373585685, 'n': 39, 'trace_an': 12}
  • id: 56833804
    {'hecke_orbit_code': 49539733373585685, 'n': 40, 'trace_an': 0}
  • id: 56833805
    {'hecke_orbit_code': 49539733373585685, 'n': 41, 'trace_an': 8}
  • id: 56833806
    {'hecke_orbit_code': 49539733373585685, 'n': 42, 'trace_an': 0}
  • id: 56833807
    {'hecke_orbit_code': 49539733373585685, 'n': 43, 'trace_an': 0}
  • id: 56833808
    {'hecke_orbit_code': 49539733373585685, 'n': 44, 'trace_an': 28}
  • id: 56833809
    {'hecke_orbit_code': 49539733373585685, 'n': 45, 'trace_an': 0}
  • id: 56833810
    {'hecke_orbit_code': 49539733373585685, 'n': 46, 'trace_an': 16}
  • id: 56833811
    {'hecke_orbit_code': 49539733373585685, 'n': 47, 'trace_an': 0}
  • id: 56833812
    {'hecke_orbit_code': 49539733373585685, 'n': 48, 'trace_an': 0}
  • id: 56833813
    {'hecke_orbit_code': 49539733373585685, 'n': 49, 'trace_an': -14}
  • id: 56833814
    {'hecke_orbit_code': 49539733373585685, 'n': 50, 'trace_an': 0}
  • id: 56833815
    {'hecke_orbit_code': 49539733373585685, 'n': 51, 'trace_an': 8}
  • id: 56833816
    {'hecke_orbit_code': 49539733373585685, 'n': 52, 'trace_an': 0}
  • id: 56833817
    {'hecke_orbit_code': 49539733373585685, 'n': 53, 'trace_an': 0}
  • id: 56833818
    {'hecke_orbit_code': 49539733373585685, 'n': 54, 'trace_an': -6}
  • id: 56833819
    {'hecke_orbit_code': 49539733373585685, 'n': 55, 'trace_an': 0}
  • id: 56833820
    {'hecke_orbit_code': 49539733373585685, 'n': 56, 'trace_an': -56}
  • id: 56833821
    {'hecke_orbit_code': 49539733373585685, 'n': 57, 'trace_an': 0}
  • id: 56833822
    {'hecke_orbit_code': 49539733373585685, 'n': 58, 'trace_an': 0}
  • id: 56833823
    {'hecke_orbit_code': 49539733373585685, 'n': 59, 'trace_an': 52}
  • id: 56833824
    {'hecke_orbit_code': 49539733373585685, 'n': 60, 'trace_an': 0}
  • id: 56833825
    {'hecke_orbit_code': 49539733373585685, 'n': 61, 'trace_an': -36}
  • id: 56833826
    {'hecke_orbit_code': 49539733373585685, 'n': 62, 'trace_an': 0}
  • id: 56833827
    {'hecke_orbit_code': 49539733373585685, 'n': 63, 'trace_an': 0}
  • id: 56833828
    {'hecke_orbit_code': 49539733373585685, 'n': 64, 'trace_an': -66}
  • id: 56833829
    {'hecke_orbit_code': 49539733373585685, 'n': 65, 'trace_an': 0}
  • id: 56833830
    {'hecke_orbit_code': 49539733373585685, 'n': 66, 'trace_an': -4}
  • id: 56833831
    {'hecke_orbit_code': 49539733373585685, 'n': 67, 'trace_an': 0}
  • id: 56833832
    {'hecke_orbit_code': 49539733373585685, 'n': 68, 'trace_an': 0}
  • id: 56833833
    {'hecke_orbit_code': 49539733373585685, 'n': 69, 'trace_an': -28}
  • id: 56833834
    {'hecke_orbit_code': 49539733373585685, 'n': 70, 'trace_an': 0}
  • id: 56833835
    {'hecke_orbit_code': 49539733373585685, 'n': 71, 'trace_an': 8}
  • id: 56833836
    {'hecke_orbit_code': 49539733373585685, 'n': 72, 'trace_an': 0}
  • id: 56833837
    {'hecke_orbit_code': 49539733373585685, 'n': 73, 'trace_an': 0}
  • id: 56833838
    {'hecke_orbit_code': 49539733373585685, 'n': 74, 'trace_an': -8}
  • id: 56833839
    {'hecke_orbit_code': 49539733373585685, 'n': 75, 'trace_an': 0}
  • id: 56833840
    {'hecke_orbit_code': 49539733373585685, 'n': 76, 'trace_an': -32}
  • id: 56833841
    {'hecke_orbit_code': 49539733373585685, 'n': 77, 'trace_an': 0}
  • id: 56833842
    {'hecke_orbit_code': 49539733373585685, 'n': 78, 'trace_an': 0}
  • id: 56833843
    {'hecke_orbit_code': 49539733373585685, 'n': 79, 'trace_an': -8}
  • id: 56833844
    {'hecke_orbit_code': 49539733373585685, 'n': 80, 'trace_an': 0}
  • id: 56833845
    {'hecke_orbit_code': 49539733373585685, 'n': 81, 'trace_an': 6}
  • id: 56833846
    {'hecke_orbit_code': 49539733373585685, 'n': 82, 'trace_an': 0}
  • id: 56833847
    {'hecke_orbit_code': 49539733373585685, 'n': 83, 'trace_an': 0}
  • id: 56833848
    {'hecke_orbit_code': 49539733373585685, 'n': 84, 'trace_an': 8}
  • id: 56833849
    {'hecke_orbit_code': 49539733373585685, 'n': 85, 'trace_an': 0}
  • id: 56833850
    {'hecke_orbit_code': 49539733373585685, 'n': 86, 'trace_an': -60}
  • id: 56833851
    {'hecke_orbit_code': 49539733373585685, 'n': 87, 'trace_an': 0}
  • id: 56833852
    {'hecke_orbit_code': 49539733373585685, 'n': 88, 'trace_an': 0}
  • id: 56833853
    {'hecke_orbit_code': 49539733373585685, 'n': 89, 'trace_an': 12}
  • id: 56833854
    {'hecke_orbit_code': 49539733373585685, 'n': 90, 'trace_an': 0}
  • id: 56833855
    {'hecke_orbit_code': 49539733373585685, 'n': 91, 'trace_an': -16}
  • id: 56833856
    {'hecke_orbit_code': 49539733373585685, 'n': 92, 'trace_an': 0}
  • id: 56833857
    {'hecke_orbit_code': 49539733373585685, 'n': 93, 'trace_an': 0}
  • id: 56833858
    {'hecke_orbit_code': 49539733373585685, 'n': 94, 'trace_an': -8}
  • id: 56833859
    {'hecke_orbit_code': 49539733373585685, 'n': 95, 'trace_an': 0}
  • id: 56833860
    {'hecke_orbit_code': 49539733373585685, 'n': 96, 'trace_an': 22}
  • id: 56833861
    {'hecke_orbit_code': 49539733373585685, 'n': 97, 'trace_an': 0}
  • id: 56833862
    {'hecke_orbit_code': 49539733373585685, 'n': 98, 'trace_an': 0}
  • id: 56833863
    {'hecke_orbit_code': 49539733373585685, 'n': 99, 'trace_an': -4}
  • id: 56833864
    {'hecke_orbit_code': 49539733373585685, 'n': 100, 'trace_an': 0}