Embedded newform data - 1664.2.n.b.417.8

Formats: - HTML - YAML - JSON - 2024-10-31T22:46:55.012568

• 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': 6656, 'analytic_conductor': 13.287106896341056, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 16, 'char_degree': 2, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 14, 'char_orbit_label': 'n', 'char_order': 4, 'char_parity': 1, 'char_values': [1664, 4, [1535, 261, 769], [4, 3, 4]], 'cm_discs': [], 'conrey_index': 417, 'dim': 48, 'has_non_self_twist': 1, 'hecke_orbit': 2, 'hecke_orbit_code': 4504493014124160, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 16, 5, 1, 4, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '1664.2.n.b', 'level': 1664, '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, 13], 'level_radical': 26, 'minimal_twist': '208.2.n.a', 'prim_orbit_index': 5, 'related_objects': [], 'relative_dim': 24, 'rm_discs': [], 'sato_tate_group': '1.2.3.c4', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1664.2.n', 'trace_display': [0, 0, 0, 0], 'traces': [48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, -16, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 24, 0, 0, 0, -24, 0, 16, 0, 0, 0, 0, 0, 8, 0, 0, 0, -40, 0, -48, 0, 24, 0, -16, 0, 0, 0, 0, 0, 0, 0, -32, 0, 40, 0, 0, 0, -16, 0, -32, 0, 0, 0, 0, 0, 40, 0, -16, 0, 32, 0, -48, 0, -40, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 40, 0, 0, 0, 0, 0, 0, 0, -64, 0, 16, 0, 16, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, -80, 0, -48, 0, -80, 0, 32, 0, 24, 0, -48, 0, 0, 0, 0, 0, 48, 0, 32, 0, -40, 0, 0, 0, -64, 0, 32, 0, 0, 0, 0, 0, 24, 0, 32, 0, 0, 0, 0, 0, 40, 0, 32, 0, 0, 0, 0, 0, -32, 0, 48, 0, 72, 0, -32, 0, 16, 0, 0, 0, 0, 0, 0, 0, 56, 0, -80, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, -80, 0, 16, 0, 80, 0, -32, 0, -104, 0, 80, 0, 0, 0, 0, 0, -32, 0, 0, 0, 56, 0, 48, 0, -80, 0, -32, 0, 0, 0, 0, 0, -48, 0, 48, 0, -8, 0, 0, 0, 120, 0, 48, 0, 0, 0, 0, 0, 144, 0, -64, 0, 96, 0, 0, 0, -80, 0, -80, 0, 0, 0, 0, 0, -32, 0, 80, 0, -120, 0, 0, 0, -88, 0, 48, 0, 0, 0, 0, 0, -96, 0, 80, 0, -64, 0, 48, 0, 96, 0, 64, 0, 0, 0, 0, 0, 0, 0, 80, 0, 160, 0, 0, 0, -24, 0, -32, 0, 0, 0, 0, 0, 152, 0, 16, 0, -32, 0, -64, 0, -24, 0, 32, 0, 0, 0, 0, 0, 168, 0, -32, 0, 176, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -96, 0, -80, 0, 64, 0, 32, 0, 88, 0, -80, 0, 0, 0, 0, 0, 160, 0, -112, 0, -128, 0, 64, 0, 8, 0, 80, 0, 0, 0, 0, 0, 88, 0, 32, 0, -24, 0, 64, 0, -112, 0, 16, 0, 0, 0, 0, 0, -96, 0, 0, 0, -80, 0, 64, 0, 0, 0, -112, 0, 0, 0, 0, 0, -16, 0, -128, 0, -128, 0, 32, 0, 160, 0, -112, 0, 0, 0, 0, 0, 24, 0, 0, 0, -280, 0, -64, 0, 352, 0, 0, 0, 0, 0, 0, 0, -40, 0, -96, 0, -160, 0, -128, 0, -144, 0, -16, 0, 0, 0, 0, 0, -128, 0, 0, 0, -56, 0, -64, 0, 16, 0, 112, 0, 0, 0, 0, 0, -80, 0, 0, 0, 312, 0, 0, 0, 48, 0, 112, 0, 0, 0, 0, 0, 56, 0, 128, 0, 96, 0, 128, 0, -16, 0, -128, 0, 0, 0, 0, 0, 0, 0, 112, 0, -32, 0, 160, 0, 144, 0, 32, 0, 0, 0, 0, 0, -96, 0, -32, 0, -208, 0, 80, 0, -64, 0, 0, 0, 0, 0, 0, 0, -288, 0, 48, 0, -400, 0, -64, 0, 32, 0, 48, 0, 0, 0, 0, 0, 224, 0, -176, 0, -64, 0, -160, 0, -16, 0, 48, 0, 0, 0, 0, 0, -144, 0, 32, 0, 160, 0, 0, 0, -32, 0, -80, 0, 0, 0, 0, 0, -200, 0, -96, 0, 144, 0, -160, 0, 136, 0, -112, 0, 0, 0, 0, 0, 96, 0, 112, 0, 80, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, -8, 0, -48, 0, 208, 0, -48, 0, -192, 0, -32, 0, 0, 0, 0, 0, 64, 0, 0, 0, 360, 0, 0, 0, -360, 0, 272, 0, 0, 0, 0, 0, -120, 0, 0, 0, 256, 0, -32, 0, 32, 0, -128, 0, 0, 0, 0, 0, 112, 0, 48, 0, 240, 0, -64, 0, -336, 0, 176, 0, 0, 0, 0, 0, 136, 0, -112, 0, -304, 0, 0, 0, -192, 0, -16, 0, 0, 0, 0, 0, -112, 0, 48, 0, -112, 0, -192, 0, 184, 0, 16, 0, 0, 0, 0, 0, -16, 0, -96, 0, 160, 0, 0, 0, -112, 0, -112, 0, 0, 0, 0, 0, 208, 0, -128, 0, 64, 0, 32, 0, 160, 0, -80, 0, 0, 0, 0, 0, 440, 0, -16, 0, 304, 0, 160, 0, 48, 0, -16, 0, 0, 0, 0, 0, -144, 0, 288, 0, 88, 0, 0, 0, 184, 0, 112, 0, 0, 0, 0, 0, 96, 0, 160, 0, -288, 0, 192, 0, 72, 0, -144, 0, 0, 0, 0, 0, 208, 0, -80, 0, -272, 0, 160, 0, -160, 0, -128, 0, 0, 0, 0, 0, -224, 0, -32, 0, 112, 0, 0, 0, -40, 0, 112, 0, 0, 0, 0, 0, 272, 0, 240, 0, -368, 0, -32, 0, 168, 0, 336, 0, 0, 0, 0, 0, -144, 0, 0, 0, -264, 0, 64, 0, 272, 0, 48, 0, 0, 0, 0, 0, 112, 0, 144, 0, -88, 0, 0, 0, -184, 0, 128, 0, 0, 0, 0, 0, -88, 0, 80, 0, -176, 0, 32, 0, 248, 0, -128, 0, 0, 0, 0, 0, 40, 0, 176, 0, 304, 0, 0, 0, 224, 0, -16, 0, 0, 0, 0, 0, -8, 0, -336, 0, -16, 0, -32, 0, -272, 0, 32, 0, 0, 0, 0, 0, 24, 0, -112, 0, 16, 0, -192, 0, 168, 0, -80, 0, 0, 0, 0, 0, -288, 0, -112, 0, 32, 0, 64, 0, -64, 0, 0, 0, 0, 0, 0, 0, -384, 0, -64, 0, -528, 0, -208, 0, 72, 0, -176, 0, 0, 0, 0, 0, 120, 0, 240, 0, -80, 0, 128, 0, -128, 0, -32, 0, 0, 0, 0, 0, -328, 0, -48, 0, 288, 0, -192, 0, -160, 0, 80, 0, 0, 0, 0, 0, -56, 0, 80, 0, 352, 0, 192, 0, 176, 0, 32, 0, 0, 0, 0, 0, 120, 0, -224, 0, -48, 0, 0, 0, 64, 0, 128, 0, 0, 0, 0, 0, -288, 0, 192, 0, 240, 0, 96, 0, -304, 0, 80, 0, 0, 0, 0, 0, 256, 0, 0, 0, 192, 0, -32, 0, -464, 0, -224, 0, 0, 0, 0, 0, 192, 0, 144, 0, 160, 0, 128, 0, 216, 0, 240, 0, 0, 0, 0, 0, 16, 0, 0, 0, 152, 0, 80, 0, 0, 0, -256, 0, 0, 0, 0, 0, -128, 0, 112, 0, -72, 0, 0, 0, -464, 0, -48, 0, 0, 0, 0, 0, -304, 0, 176, 0, -240, 0, -32, 0, 168, 0, 112, 0, 0, 0, 0, 0, -80, 0, 64, 0, 128, 0, -160, 0, -88, 0, 64, 0, 0, 0, 0, 0, 136, 0, 112, 0, 440, 0, 96, 0, 304, 0, 48, 0, 0, 0, 0, 0, 432, 0, -192, 0, 640, 0, 0, 0, -64, 0, 128, 0, 0, 0, 0, 0, -288, 0, -352, 0, 8, 0, -256, 0, 200, 0, -192, 0, 0, 0, 0, 0, 424, 0, -336, 0, -368, 0, -96, 0, 128, 0, 16, 0, 0, 0, 0, 0, 424, 0, -80, 0, -784, 0, -160, 0, -304, 0, 224, 0, 0, 0, 0, 0, -288, 0, 0, 0, 32, 0, 96, 0, -64, 0, -240, 0, 0, 0, 0, 0, 280, 0, -288, 0, -384, 0, -256, 0, 272, 0, -272, 0, 0, 0, 0, 0, -64, 0, 0, 0, -688, 0, 192, 0, 416, 0, -128, 0, 0, 0, 0, 0, 16, 0, -192, 0, -40, 0, 256, 0, -256, 0, -80, 0, 0, 0, 0, 0, -16, 0, -176, 0, -464, 0, 192, 0, 432, 0, 16, 0, 0, 0, 0, 0, -200, 0, -176, 0, 512, 0, 0, 0, 336, 0, 112, 0, 0, 0, 0, 0, 440, 0, 272, 0, -160, 0, -128, 0, -8, 0, -192, 0, 0, 0, 0, 0, 64, 0, 160, 0, -240, 0, -64, 0, 192, 0, 0, 0, 0, 0, 0, 0, -336, 0, -32, 0, -72, 0, -288, 0, -96, 0, 0, 0, 0, 0, 0, 0, -528, 0, 64, 0, -576, 0, 96, 0, -240, 0, 96, 0, 0, 0, 0, 0, 144, 0, -416, 0, -176, 0, 128, 0, -32, 0, 80, 0, 0, 0, 0, 0, -320, 0, -16, 0, 928, 0, -192, 0, -8, 0, -288, 0, 0, 0, 0, 0, -400, 0, -16, 0, 664, 0, 128, 0, 184, 0, 32, 0, 0, 0, 0, 0, 208, 0, 464, 0, -320, 0, -96, 0, 88, 0, 80, 0, 0, 0, 0, 0, -184, 0, 0, 0, 368, 0, 32, 0, -224, 0, -112, 0, 0, 0, 0, 0, 280, 0, 0, 0, 568, 0, 224, 0, -624, 0, 352, 0, 0, 0, 0, 0, -8, 0, -160, 0, -264, 0, 256, 0, 304, 0, -80, 0, 0, 0, 0, 0, 48, 0, 160, 0, 664, 0, 128, 0, -336, 0, 480, 0, 0, 0, 0, 0, 112, 0, -240, 0, -232, 0, -48, 0, -288, 0, 80, 0, 0, 0, 0, 0, -248, 0, -288, 0, 0, 0, 192, 0, 208, 0, -256, 0, 0, 0, 0, 0, -88, 0, -16, 0, -112, 0, 0, 0, -272, 0, -192, 0, 0, 0, 0, 0, 320, 0, 112, 0, 40, 0, 192, 0, 24, 0, -128, 0, 0, 0, 0, 0, 448, 0, 352, 0, 688, 0, -64, 0, 80, 0, -224, 0, 0, 0, 0, 0, -272, 0, 320, 0, 144, 0, 160, 0, -56, 0, 304, 0, 0, 0, 0, 0, 320, 0, 400, 0, -880, 0, -320, 0, 64, 0, 0, 0, 0, 0, 0, 0, 272, 0, 176, 0, -512, 0, -128, 0, -448, 0, -160, 0, 0, 0, 0, 0, 152, 0, 0, 0, 208, 0, -32, 0, -80, 0, 160, 0, 0, 0, 0, 0, 384, 0, 240, 0, -176, 0, -96, 0, 264, 0, 256, 0, 0, 0, 0, 0, -304, 0, -32, 0, -384, 0, -144, 0, 776, 0, 240, 0, 0, 0, 0, 0, -304, 0, 224, 0, -64, 0, 0, 0, -104, 0, 352, 0, 0, 0, 0, 0, -56, 0, 240, 0, -288, 0, -96, 0, 128, 0, -128, 0, 0, 0, 0, 0, 8, 0, 160, 0, 0, 0, 0, 0, 512, 0, -320, 0, 0, 0, 0, 0, 600, 0, -448, 0, 320, 0, 96, 0, -288, 0, 336, 0, 0, 0, 0, 0, 136, 0, -96, 0, 480, 0, 320, 0, 336, 0, 0, 0, 0, 0, 0, 0, -368, 0, 176, 0, -56, 0, -96, 0, -448, 0, 0, 0, 0, 0, 0, 0, -432, 0, -144, 0, -816, 0, 32, 0, -152, 0, -240, 0, 0, 0, 0, 0, 104, 0, 432, 0, -48, 0, -352, 0, -104, 0, 160, 0, 0, 0, 0, 0, -344, 0, 112, 0, 384, 0, 320, 0, -64, 0, 320, 0, 0, 0, 0, 0, -640, 0, 0, 0, 800, 0, 0, 0, 384, 0, -96, 0, 0, 0, 0, 0, 176, 0, -224, 0, -272, 0, 0, 0, 8, 0, 128, 0, 0, 0, 0, 0, -216, 0, 144, 0, 672, 0, -128, 0, -512, 0, -208, 0, 0, 0, 0, 0, 144, 0, 0, 0, 752, 0, 96, 0, -264, 0, -432, 0, 0, 0, 0, 0, 0, 0, -16, 0, 112, 0, -384, 0, 424, 0, 128, 0, 0, 0, 0, 0, -32, 0, -400, 0, 448, 0, -288, 0, -512, 0, -688, 0, 0, 0, 0, 0, 152, 0, 128, 0, -608, 0, 0, 0, -376, 0, 128, 0, 0, 0, 0, 0, -464, 0, 48, 0, -128, 0, 96, 0, -48, 0, 128, 0, 0, 0, 0, 0, -120, 0, 112, 0, 0, 0, 256, 0, -544, 0, 208, 0, 0, 0, 0, 0, 504, 0, -64, 0, -272, 0, -384, 0, 504, 0, 160, 0, 0, 0, 0, 0, 848, 0, 0, 0, 656, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
  {'an_normalized': [[1.0, 0.0], [0.0, 0.0], [-0.5212181050957663, -0.5212181050957663], [0.0, 0.0], [0.5790538073974238, -0.5790538073974238], [0.0, 0.0], [0.0, -1.2117303518911702], [0.0, 0.0], [0.0, -0.4566633738407574], [0.0, 0.0], [0.8205434390330865, -0.8205434390330865], [0.0, 0.0], [-0.19611613513818404, -0.19611613513818404], [0.0, 0.0], [-0.6036266564803482, 0.0], [0.0, 0.0], [-1.4641167164889166, 0.0], [0.0, 0.0], [-0.4357675739812747, -0.4357675739812747], [0.0, 0.0], [-0.6315757978997418, 0.6315757978997418], [0.0, 0.0], [0.0, -1.8087540987320232], [0.0, 0.0], [0.0, 0.3293933762770943], [0.0, 0.0], [-0.7592393234756855, 0.7592393234756855], [0.0, 0.0], [1.2676299086084248, 1.2676299086084248], [0.0, 0.0], [0.9394835533828573, 0.0], [0.0, 0.0], [-0.8553641928831776, 0.0], [0.0, 0.0], [-0.7016570738016024, -0.7016570738016024], [0.0, 0.0], [0.034283044127200756, -0.034283044127200756], [0.0, 0.0], [0.0, 0.20443856067085903], [0.0, 0.0], [0.0, 1.4520628170908347], [0.0, 0.0], 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-0.4799712990575778, -0.3199068907193498, -0.41662880201131547, 0.030399658703419374, -0.12392400659102562, -0.47194004464575967, -0.19222604102282603, -0.24628658688022773, -0.48549111207241097, -0.2245929532489402, -0.4234651875023737, -0.41982116072204, -0.28466717124295704, -0.18410188255297721, -0.49828179733373934, -0.4309658834362719, 0.10840651140802014, -0.33186834396735937, -0.2342679961869002, -0.08105562046825343, -0.19053700205692592, -0.13778936410382756, 0.027077596506307883, -0.42899030962948315, -0.23646199186468156, 0.004592527989053234, -0.32849067046439906, 0.03271521549534096, -0.11053604050075373, -0.49387709780907785, -0.4228929911968641, 0.01479595093959758, -0.30839290586033596, -0.25975504561949664, -0.3817711571088457, -0.05584632329562588, -0.22586261465552535, -0.3724354989457516, -0.17416569857885258, -0.4945795987541508, -0.10187031149453839, -0.4343270335427655, 0.012943685247376133, -0.2269937921206791, 0.0761752913318442, -0.3172123119505076, -0.4342771477101051, 0.17200133815735974, 0.0051858551752946855, -0.2015895527188634, 0.031128215387809317, -0.4211859595217346, 0.1548737733945198, -0.20609405090771624, -0.29474679922256647, -0.027441423084625396, -0.14167265603207954, -0.38231584407641894, -0.43923135715134287, -0.24801824132214526, -0.3286708416183986, 0.02786654124855153, -0.12613440639666537, 0.03382341834239533, 0.14014708696766615, -0.16103983414377274, -0.20166298152463044, -0.2921747866637498, -0.3835983796430496, -0.20385645468673488, -0.3094146810703824, -0.25384069015881455, -0.30053304930847485, -0.392638345290112, 0.020470099583170573, -0.24223943669780468, -0.09466533338459937, -0.376670193418903, -0.412293018574882, -0.16987486742473512, -0.47449571002683044, 0.009010674919260029, 0.2592818191984729, -0.49845917131074047, -0.45648027041701905, -0.23225442820310177, -0.16644299418997463, 0.23512870363637256, -0.24484241119229974, -0.4598063418970421, 0.05354366269310074, -0.2133760713019331, -0.1272951038778164, 0.029630943712488457, -0.37394303577662213, -0.46802087902465256, -0.1157564682768278, 0.14212077748888613, -0.4177360457052425, -0.4879922872393606, -0.461135976039888, -0.3152763766945339, 0.00843904266072091, -0.35087647897551094, -0.14096467250420375, -0.19199636113238006, -0.4320425154669412, -0.4721427087088381, -0.45916125510455513, -0.18177706814035977, -0.4386463619889741, -0.2818581242726689, -0.0726387915894804, -0.318195144841285, -0.3861575151303636, -0.3582211056809985, -0.2305842583097597, -0.39283988299672956, -0.15430135577594037, -0.2108841617810801, -0.05541149998014632, -0.38147509718368405, -0.3757834408518688, -0.12572717469081987, -0.05080892759420696, -0.42949080821048835, 0.3011486224899169, -0.38445643079464326, -0.36958370083653197, -0.13702138380476267, -0.05279683514042271, -0.24884247634238302, -0.1426756239158653, -0.2664511979916857, -0.06327673479336465, -0.20795581366117888, 0.10482314765409215, -0.28135369406642563, -0.312500913564421, -0.06988855887402513, -0.14017767521645313, 0.02619734578234284, -0.20888825810331893, -0.29662912302170996, 0.12314118030652477, -0.2797749578905358, -0.09318346218305958, -0.41063087604423815, -0.08369652952809734, -0.2504695450440684, 0.07669462530444575, -0.48144345532390825, -0.4115511467254205, -0.39859875976253384, -0.23424003229240137, -0.09631237071773363, -0.42761671648762883, -0.47589531977972116, -0.33750511943743766, -0.1199316733885451, -0.04900912008222071, -0.4729225333015143, -0.3236679161994109, -0.11684969178017009, 0.023253419363833794, -0.24234744609867137, -0.419324746925203, -0.38204922229045235, -0.17818084866658537, -0.36734054995744475, -0.026571748529450184, -0.27125069461134843], 'char_orbit_index': 14, 'conrey_index': 417, 'dual_conrey_index': 1249, 'dual_embedding_index': 8, 'dual_embedding_m': 32, 'embedding_index': 8, 'embedding_m': 8, 'hecke_orbit': 2, 'hecke_orbit_code': 4504493014124160, 'label': '1664.2.n.b.417.8', 'level': 1664, 'weight': 2}
• mf_newspaces •

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

  
  {'Nk2': 6656, 'analytic_conductor': 13.287106896341056, 'char_conductor': 16, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 14, 'char_orbit_label': 'n', 'char_order': 4, 'char_parity': 1, 'char_values': [1664, 4, [1535, 261, 769], [4, 3, 4]], 'conrey_index': 417, 'cusp_dim': 416, 'dim': 96, 'eis_dim': 64, 'eis_new_dim': 0, 'hecke_orbit_code': 893386753664, 'hecke_orbit_dims': [48, 48], 'label': '1664.2.n', 'level': 1664, '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, 13], 'level_radical': 26, 'mf_dim': 480, 'mf_new_dim': 96, 'num_forms': 2, 'prim_orbit_index': 5, 'relative_dim': 48, 'sturm_bound': 448, 'trace_bound': 11, 'trace_display': [0, 0, 0, 0], 'traces': [96, 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, 32, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, -96, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 64, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, -64, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 96, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, -128, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 64, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, -224, 0, 0, 0, 128, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 128, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, -224, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 64, 0, 0, 0, -224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, -256, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, 256, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, 224, 0, 0, 0, 320, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, -128, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, -352, 0, 0, 0, -320, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, -320, 0, 0, 0, -224, 0, 0, 0, 0, 0, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, -96, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 544, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, -128, 0, 0, 0, 352, 0, 0, 0, 0, 0, 0, 0, -224, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, -384, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, -224, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 64, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 320, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 576, 0, 0, 0, 0, 0, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, 320, 0, 0, 0, 384, 0, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 320, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, 480, 0, 0, 0, -64, 0, 0, 0, 672, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 288, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 64, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, 352, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -672, 0, 0, 0, -64, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, -224, 0, 0, 0, -384, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, -224, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, -416, 0, 0, 0, -352, 0, 0, 0, 0, 0, 0, 0, 480, 0, 0, 0, 256, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, -384, 0, 0, 0, 160, 0, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 36710536
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 417, 'source_dim': 48, 'source_embedding_index': 8, 'source_hecke_orbit_code': 4504493014124160, 'source_is_minimal': False, 'source_label': '1664.2.n.b.417.8', 'source_level': 1664, 'target_conrey_index': 417, 'target_dim': 48, 'target_embedding_index': 8, 'target_hecke_orbit_code': 4504493014124160, 'target_is_minimal': False, 'target_label': '1664.2.n.b.417.8', 'target_level': 1664, 'twist_class_label': '208.2.n.a.53.24', 'twist_class_level': 208, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 36710537
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 417, 'source_dim': 48, 'source_embedding_index': 8, 'source_hecke_orbit_code': 4504493014124160, 'source_is_minimal': False, 'source_label': '1664.2.n.b.417.8', 'source_level': 1664, 'target_conrey_index': 417, 'target_dim': 48, 'target_embedding_index': 17, 'target_hecke_orbit_code': 893386753664, 'target_is_minimal': False, 'target_label': '1664.2.n.a.417.17', 'target_level': 1664, 'twist_class_label': '208.2.n.a.53.24', 'twist_class_level': 208, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 36710538
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 417, 'source_dim': 48, 'source_embedding_index': 8, 'source_hecke_orbit_code': 4504493014124160, 'source_is_minimal': False, 'source_label': '1664.2.n.b.417.8', 'source_level': 1664, 'target_conrey_index': 209, 'target_dim': 48, 'target_embedding_index': 8, 'target_hecke_orbit_code': 893386752832, 'target_is_minimal': False, 'target_label': '832.2.n.a.209.8', 'target_level': 832, 'twist_class_label': '208.2.n.a.53.24', 'twist_class_level': 208, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 36710539
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 417, 'source_dim': 48, 'source_embedding_index': 8, 'source_hecke_orbit_code': 4504493014124160, 'source_is_minimal': False, 'source_label': '1664.2.n.b.417.8', 'source_level': 1664, 'target_conrey_index': 157, 'target_dim': 48, 'target_embedding_index': 24, 'target_hecke_orbit_code': 893386752208, 'target_is_minimal': True, 'target_label': '208.2.n.a.157.24', 'target_level': 208, 'twist_class_label': '208.2.n.a.53.24', 'twist_class_level': 208, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 36710540
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 417, 'source_dim': 48, 'source_embedding_index': 8, 'source_hecke_orbit_code': 4504493014124160, 'source_is_minimal': False, 'source_label': '1664.2.n.b.417.8', 'source_level': 1664, 'target_conrey_index': 625, 'target_dim': 48, 'target_embedding_index': 8, 'target_hecke_orbit_code': 893386752832, 'target_is_minimal': False, 'target_label': '832.2.n.a.625.8', 'target_level': 832, 'twist_class_label': '208.2.n.a.53.24', 'twist_class_level': 208, 'twisting_char_label': '16.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 36710541
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 417, 'source_dim': 48, 'source_embedding_index': 8, 'source_hecke_orbit_code': 4504493014124160, 'source_is_minimal': False, 'source_label': '1664.2.n.b.417.8', 'source_level': 1664, 'target_conrey_index': 1249, 'target_dim': 48, 'target_embedding_index': 8, 'target_hecke_orbit_code': 4504493014124160, 'target_is_minimal': False, 'target_label': '1664.2.n.b.1249.8', 'target_level': 1664, 'twist_class_label': '208.2.n.a.53.24', 'twist_class_level': 208, 'twisting_char_label': '16.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 36710542
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 417, 'source_dim': 48, 'source_embedding_index': 8, 'source_hecke_orbit_code': 4504493014124160, 'source_is_minimal': False, 'source_label': '1664.2.n.b.417.8', 'source_level': 1664, 'target_conrey_index': 1249, 'target_dim': 48, 'target_embedding_index': 17, 'target_hecke_orbit_code': 893386753664, 'target_is_minimal': False, 'target_label': '1664.2.n.a.1249.17', 'target_level': 1664, 'twist_class_label': '208.2.n.a.53.24', 'twist_class_level': 208, 'twisting_char_label': '16.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 36710543
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 417, 'source_dim': 48, 'source_embedding_index': 8, 'source_hecke_orbit_code': 4504493014124160, 'source_is_minimal': False, 'source_label': '1664.2.n.b.417.8', 'source_level': 1664, 'target_conrey_index': 53, 'target_dim': 48, 'target_embedding_index': 24, 'target_hecke_orbit_code': 893386752208, 'target_is_minimal': True, 'target_label': '208.2.n.a.53.24', 'target_level': 208, 'twist_class_label': '208.2.n.a.53.24', 'twist_class_level': 208, 'twisting_char_label': '16.13', 'twisting_conrey_index': 13, 'weight': 2}
• hecke_orbit_code 4504493014124160 does not appear in mf_hecke_charpolys
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 14, 'hecke_orbit': 2, 'label': '1664.2.n.b', 'level': 1664, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 24145939
    {'hecke_orbit_code': 4504493014124160, 'n': 1, 'trace_an': 48}
  • id: 24145940
    {'hecke_orbit_code': 4504493014124160, 'n': 2, 'trace_an': 0}
  • id: 24145941
    {'hecke_orbit_code': 4504493014124160, 'n': 3, 'trace_an': 0}
  • id: 24145942
    {'hecke_orbit_code': 4504493014124160, 'n': 4, 'trace_an': 0}
  • id: 24145943
    {'hecke_orbit_code': 4504493014124160, 'n': 5, 'trace_an': 0}
  • id: 24145944
    {'hecke_orbit_code': 4504493014124160, 'n': 6, 'trace_an': 0}
  • id: 24145945
    {'hecke_orbit_code': 4504493014124160, 'n': 7, 'trace_an': 0}
  • id: 24145946
    {'hecke_orbit_code': 4504493014124160, 'n': 8, 'trace_an': 0}
  • id: 24145947
    {'hecke_orbit_code': 4504493014124160, 'n': 9, 'trace_an': 0}
  • id: 24145948
    {'hecke_orbit_code': 4504493014124160, 'n': 10, 'trace_an': 0}
  • id: 24145949
    {'hecke_orbit_code': 4504493014124160, 'n': 11, 'trace_an': 8}
  • id: 24145950
    {'hecke_orbit_code': 4504493014124160, 'n': 12, 'trace_an': 0}
  • id: 24145951
    {'hecke_orbit_code': 4504493014124160, 'n': 13, 'trace_an': 0}
  • id: 24145952
    {'hecke_orbit_code': 4504493014124160, 'n': 14, 'trace_an': 0}
  • id: 24145953
    {'hecke_orbit_code': 4504493014124160, 'n': 15, 'trace_an': -16}
  • id: 24145954
    {'hecke_orbit_code': 4504493014124160, 'n': 16, 'trace_an': 0}
  • id: 24145955
    {'hecke_orbit_code': 4504493014124160, 'n': 17, 'trace_an': 0}
  • id: 24145956
    {'hecke_orbit_code': 4504493014124160, 'n': 18, 'trace_an': 0}
  • id: 24145957
    {'hecke_orbit_code': 4504493014124160, 'n': 19, 'trace_an': 16}
  • id: 24145958
    {'hecke_orbit_code': 4504493014124160, 'n': 20, 'trace_an': 0}
  • id: 24145959
    {'hecke_orbit_code': 4504493014124160, 'n': 21, 'trace_an': 0}
  • id: 24145960
    {'hecke_orbit_code': 4504493014124160, 'n': 22, 'trace_an': 0}
  • id: 24145961
    {'hecke_orbit_code': 4504493014124160, 'n': 23, 'trace_an': 0}
  • id: 24145962
    {'hecke_orbit_code': 4504493014124160, 'n': 24, 'trace_an': 0}
  • id: 24145963
    {'hecke_orbit_code': 4504493014124160, 'n': 25, 'trace_an': 0}
  • id: 24145964
    {'hecke_orbit_code': 4504493014124160, 'n': 26, 'trace_an': 0}
  • id: 24145965
    {'hecke_orbit_code': 4504493014124160, 'n': 27, 'trace_an': 0}
  • id: 24145966
    {'hecke_orbit_code': 4504493014124160, 'n': 28, 'trace_an': 0}
  • id: 24145967
    {'hecke_orbit_code': 4504493014124160, 'n': 29, 'trace_an': 16}
  • id: 24145968
    {'hecke_orbit_code': 4504493014124160, 'n': 30, 'trace_an': 0}
  • id: 24145969
    {'hecke_orbit_code': 4504493014124160, 'n': 31, 'trace_an': 24}
  • id: 24145970
    {'hecke_orbit_code': 4504493014124160, 'n': 32, 'trace_an': 0}
  • id: 24145971
    {'hecke_orbit_code': 4504493014124160, 'n': 33, 'trace_an': 0}
  • id: 24145972
    {'hecke_orbit_code': 4504493014124160, 'n': 34, 'trace_an': 0}
  • id: 24145973
    {'hecke_orbit_code': 4504493014124160, 'n': 35, 'trace_an': -24}
  • id: 24145974
    {'hecke_orbit_code': 4504493014124160, 'n': 36, 'trace_an': 0}
  • id: 24145975
    {'hecke_orbit_code': 4504493014124160, 'n': 37, 'trace_an': 16}
  • id: 24145976
    {'hecke_orbit_code': 4504493014124160, 'n': 38, 'trace_an': 0}
  • id: 24145977
    {'hecke_orbit_code': 4504493014124160, 'n': 39, 'trace_an': 0}
  • id: 24145978
    {'hecke_orbit_code': 4504493014124160, 'n': 40, 'trace_an': 0}
  • id: 24145979
    {'hecke_orbit_code': 4504493014124160, 'n': 41, 'trace_an': 0}
  • id: 24145980
    {'hecke_orbit_code': 4504493014124160, 'n': 42, 'trace_an': 0}
  • id: 24145981
    {'hecke_orbit_code': 4504493014124160, 'n': 43, 'trace_an': 8}
  • id: 24145982
    {'hecke_orbit_code': 4504493014124160, 'n': 44, 'trace_an': 0}
  • id: 24145983
    {'hecke_orbit_code': 4504493014124160, 'n': 45, 'trace_an': 0}
  • id: 24145984
    {'hecke_orbit_code': 4504493014124160, 'n': 46, 'trace_an': 0}
  • id: 24145985
    {'hecke_orbit_code': 4504493014124160, 'n': 47, 'trace_an': -40}
  • id: 24145986
    {'hecke_orbit_code': 4504493014124160, 'n': 48, 'trace_an': 0}
  • id: 24145987
    {'hecke_orbit_code': 4504493014124160, 'n': 49, 'trace_an': -48}
  • id: 24145988
    {'hecke_orbit_code': 4504493014124160, 'n': 50, 'trace_an': 0}
  • id: 24145989
    {'hecke_orbit_code': 4504493014124160, 'n': 51, 'trace_an': 24}
  • id: 24145990
    {'hecke_orbit_code': 4504493014124160, 'n': 52, 'trace_an': 0}
  • id: 24145991
    {'hecke_orbit_code': 4504493014124160, 'n': 53, 'trace_an': -16}
  • id: 24145992
    {'hecke_orbit_code': 4504493014124160, 'n': 54, 'trace_an': 0}
  • id: 24145993
    {'hecke_orbit_code': 4504493014124160, 'n': 55, 'trace_an': 0}
  • id: 24145994
    {'hecke_orbit_code': 4504493014124160, 'n': 56, 'trace_an': 0}
  • id: 24145995
    {'hecke_orbit_code': 4504493014124160, 'n': 57, 'trace_an': 0}
  • id: 24145996
    {'hecke_orbit_code': 4504493014124160, 'n': 58, 'trace_an': 0}
  • id: 24145997
    {'hecke_orbit_code': 4504493014124160, 'n': 59, 'trace_an': 0}
  • id: 24145998
    {'hecke_orbit_code': 4504493014124160, 'n': 60, 'trace_an': 0}
  • id: 24145999
    {'hecke_orbit_code': 4504493014124160, 'n': 61, 'trace_an': -32}
  • id: 24146000
    {'hecke_orbit_code': 4504493014124160, 'n': 62, 'trace_an': 0}
  • id: 24146001
    {'hecke_orbit_code': 4504493014124160, 'n': 63, 'trace_an': 40}
  • id: 24146002
    {'hecke_orbit_code': 4504493014124160, 'n': 64, 'trace_an': 0}
  • id: 24146003
    {'hecke_orbit_code': 4504493014124160, 'n': 65, 'trace_an': 0}
  • id: 24146004
    {'hecke_orbit_code': 4504493014124160, 'n': 66, 'trace_an': 0}
  • id: 24146005
    {'hecke_orbit_code': 4504493014124160, 'n': 67, 'trace_an': -16}
  • id: 24146006
    {'hecke_orbit_code': 4504493014124160, 'n': 68, 'trace_an': 0}
  • id: 24146007
    {'hecke_orbit_code': 4504493014124160, 'n': 69, 'trace_an': -32}
  • id: 24146008
    {'hecke_orbit_code': 4504493014124160, 'n': 70, 'trace_an': 0}
  • id: 24146009
    {'hecke_orbit_code': 4504493014124160, 'n': 71, 'trace_an': 0}
  • id: 24146010
    {'hecke_orbit_code': 4504493014124160, 'n': 72, 'trace_an': 0}
  • id: 24146011
    {'hecke_orbit_code': 4504493014124160, 'n': 73, 'trace_an': 0}
  • id: 24146012
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  • id: 24146013
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  • id: 24146015
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  • id: 24146017
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  • id: 24146018
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  • id: 24146019
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  • id: 24146020
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  • id: 24146021
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  • id: 24146022
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  • id: 24146023
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  • id: 24146024
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  • id: 24146025
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  • id: 24146026
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  • id: 24146027
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  • id: 24146028
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  • id: 24146029
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  • id: 24146030
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  • id: 24146032
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  • id: 24146033
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  • id: 24146034
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  • id: 24146035
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  • id: 24146037
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  • id: 24146042
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  • id: 24146043
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  • id: 24146046
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  • id: 24146048
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  • id: 24146066
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  • id: 24146067
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  • id: 24146082
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  • id: 24146083
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  • id: 24146084
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  • id: 24146086
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  • id: 24146088
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  • id: 24146092
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  • id: 24146095
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  • id: 24146096
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  • id: 24146098
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  • id: 24146099
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  • id: 24146101
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  • id: 24146104
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  • id: 24146106
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  • id: 24146107
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  • id: 24146108
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  • id: 24146110
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  • id: 24146112
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  • id: 24146113
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  • id: 24146114
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  • id: 24146115
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  • id: 24146116
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  • id: 24146117
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  • id: 24146118
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  • id: 24146119
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  • id: 24146120
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  • id: 24146121
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  • id: 24146122
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  • id: 24146123
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  • id: 24146124
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  • id: 24146125
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  • id: 24146126
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  • id: 24146127
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  • id: 24146128
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  • id: 24146129
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  • id: 24146130
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  • id: 24146131
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  • id: 24146132
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  • id: 24146133
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  • id: 24146134
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  • id: 24146135
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  • id: 24146136
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  • id: 24146137
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  • id: 24146139
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  • id: 24146142
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  • id: 24146143
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  • id: 24146144
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  • id: 24146145
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  • id: 24146146
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  • id: 24146148
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  • id: 24146150
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  • id: 24146151
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  • id: 24146152
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  • id: 24146153
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  • id: 24146154
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  • id: 24146156
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  • id: 24146160
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  • id: 24146161
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  • id: 24146163
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  • id: 24146164
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  • id: 24146167
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  • id: 24146170
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