Embedded newform data - 1512.2.cx.a.17.11

Formats: - HTML - YAML - JSON - 2025-09-04T08:51:19.132859

• 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': 6048, 'analytic_conductor': 12.073380785617594, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 63, 'char_degree': 2, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 76, 'char_orbit_label': 'cx', 'char_order': 6, 'char_parity': 1, 'char_values': [1512, 6, [1135, 757, 785, 1081], [6, 6, 5, 1]], 'cm_discs': [], 'conrey_index': 17, 'dim': 48, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 5153994311144, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 63, 19, 1, 6, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '1512.2.cx.a', 'level': 1512, '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, 3, 7], 'level_radical': 42, 'minimal_twist': '504.2.bs.a', 'prim_orbit_index': 19, 'related_objects': [], 'relative_dim': 24, 'rm_discs': [], 'sato_tate_group': '1.2.3.c6', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1512.2.cx', 'trace_display': [0, 0, 0, 0], 'traces': [48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, -18, 0, 18, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, -6, 0, 0, 0, -18, 0, -12, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 18, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18, 0, 6, 0, 0, 0, 54, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 78, 0, 0, 0, 0, 0, 36, 0, -48, 0, 0, 0, -72, 0, 12, 0, 0, 0, 60, 0, -6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18, 0, 0, 0, 0, 0, 24, 0, 0, 0, 48, 0, 36, 0, 0, 0, 48, 0, 0, 0, 0, 0, -90, 0, 12, 0, 0, 0, 72, 0, -6, 0, 0, 0, 36, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, -36, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, -60, 0, 30, 0, 0, 0, 42, 0, 0, 0, 0, 0, -60, 0, -6, 0, 0, 0, -24, 0, -18, 0, 0, 0, -108, 0, 0, 0, 0, 0, 0, 0, -18, 0, 0, 0, -144, 0, 0, 0, 0, 0, -96, 0, -108, 0, 0, 0, 36, 0, 0, 0, 0, 0, -144, 0, -60, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, -156, 0, -18, 0, 0, 0, -150, 0, -36, 0, 0, 0, 84, 0, 12, 0, 0, 0, -60, 0, 18, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, 30, 0, -36, 0, 0, 0, 0, 0, 0, 0, 0, 0, -90, 0, 36, 0, 0, 0, -180, 0, 18, 0, 0, 0, 54, 0, -114, 0, 0, 0, -42, 0, -54, 0, 0, 0, 120, 0, 0, 0, 0, 0, 60, 0, 12, 0, 0, 0, 216, 0, 0, 0, 0, 0, 144, 0, -48, 0, 0, 0, -276, 0, 48, 0, 0, 0, 168, 0, -60, 0, 0, 0, 0, 0, 0, 0, 0, 0, 126, 0, -54, 0, 0, 0, 0, 0, -60, 0, 0, 0, 240, 0, -144, 0, 0, 0, 114, 0, -54, 0, 0, 0, -60, 0, 36, 0, 0, 0, 54, 0, -6, 0, 0, 0, -204, 0, 0, 0, 0, 0, -54, 0, 0, 0, 0, 0, 72, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 126, 0, -6, 0, 0, 0, 138, 0, 18, 0, 0, 0, -78, 0, -114, 0, 0, 0, -60, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 84, 0, 54, 0, 0, 0, -120, 0, 0, 0, 0, 0, -138, 0, 108, 0, 0, 0, 336, 0, 36, 0, 0, 0, -216, 0, 18, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, -54, 0, 0, 0, 0, 0, -108, 0, 0, 0, -234, 0, -162, 0, 0, 0, -222, 0, -18, 0, 0, 0, 108, 0, 42, 0, 0, 0, -72, 0, -30, 0, 0, 0, 90, 0, 0, 0, 0, 0, 162, 0, 0, 0, 0, 0, -48, 0, 36, 0, 0, 0, 0, 0, -54, 0, 0, 0, -198, 0, -30, 0, 0, 0, -54, 0, 12, 0, 0, 0, 156, 0, -12, 0, 0, 0, 246, 0, 18, 0, 0, 0, 180, 0, 0, 0, 0, 0, -18, 0, 36, 0, 0, 0, 306, 0, 0, 0, 0, 0, 102, 0, 216, 0, 0, 0, -396, 0, 144, 0, 0, 0, 324, 0, 90, 0, 0, 0, 0, 0, 126, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, 0, 216, 0, 108, 0, 0, 0, 312, 0, 12, 0, 0, 0, -276, 0, -24, 0, 0, 0, 42, 0, -54, 0, 0, 0, 210, 0, 0, 0, 0, 0, -96, 0, 126, 0, 0, 0, -180, 0, 36, 0, 0, 0, 0, 0, -36, 0, 0, 0, -108, 0, -42, 0, 0, 0, 180, 0, 12, 0, 0, 0, -96, 0, 72, 0, 0, 0, -144, 0, -54, 0, 0, 0, -252, 0, 0, 0, 0, 0, -84, 0, 30, 0, 0, 0, -276, 0, 0, 0, 0, 0, -264, 0, 132, 0, 0, 0, 168, 0, 24, 0, 0, 0, -96, 0, 120, 0, 0, 0, 0, 0, 72, 0, 0, 0, -108, 0, 252, 0, 0, 0, 0, 0, 120, 0, 0, 0, -372, 0, 162, 0, 0, 0, -306, 0, 66, 0, 0, 0, 120, 0, 36, 0, 0, 0, -216, 0, -18, 0, 0, 0, 150, 0, 0, 0, 0, 0, 0, 0, 108, 0, 0, 0, 66, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 84, 0, 48, 0, 0, 0, -282, 0, -12, 0, 0, 0, 246, 0, 114, 0, 0, 0, 0, 0, -72, 0, 0, 0, 144, 0, 0, 0, 0, 0, 132, 0, -6, 0, 0, 0, 366, 0, 0, 0, 0, 0, 492, 0, -120, 0, 0, 0, -324, 0, 48, 0, 0, 0, 120, 0, -54, 0, 0, 0, 0, 0, 18, 0, 0, 0, 216, 0, 216, 0, 0, 0, 0, 0, 120, 0, 0, 0, 480, 0, 126, 0, 0, 0, 312, 0, -18, 0, 0, 0, -78, 0, -6, 0, 0, 0, 228, 0, 90, 0, 0, 0, -384, 0, 0, 0, 0, 0, -66, 0, 0, 0, 0, 0, -12, 0, -42, 0, 0, 0, 0, 0, 72, 0, 0, 0, 174, 0, 108, 0, 0, 0, 252, 0, -6, 0, 0, 0, -228, 0, -24, 0, 0, 0, 6, 0, -144, 0, 0, 0, 108, 0, 0, 0, 0, 0, -258, 0, 0, 0, 0, 0, -390, 0, 0, 0, 0, 0, -210, 0, -228, 0, 0, 0, 684, 0, -72, 0, 0, 0, -372, 0, -192, 0, 0, 0, 0, 0, -18, 0, 0, 0, -84, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, -426, 0, 0, 0, 0, 0, -336, 0, -84, 0, 0, 0, 258, 0, 54, 0, 0, 0, -126, 0, 126, 0, 0, 0, 288, 0, 0, 0, 0, 0, 180, 0, -180, 0, 0, 0, 186, 0, -24, 0, 0, 0, 0, 0, -54, 0, 0, 0, 156, 0, 36, 0, 0, 0, -132, 0, 18, 0, 0, 0, 132, 0, -126, 0, 0, 0, 336, 0, -90, 0, 0, 0, 180, 0, 0, 0, 0, 0, 144, 0, -12, 0, 0, 0, 354, 0, 0, 0, 0, 0, 36, 0, -144, 0, 0, 0, -396, 0, -144, 0, 0, 0, 588, 0, -174, 0, 0, 0, 0, 0, -162, 0, 0, 0, -102, 0, -198, 0, 0, 0, 0, 0, -132, 0, 0, 0, 342, 0, -234, 0, 0, 0, 210, 0, -96, 0, 0, 0, -414, 0, 42, 0, 0, 0, 240, 0, 180, 0, 0, 0, 108, 0, 0, 0, 0, 0, -132, 0, -324, 0, 0, 0, -228, 0, -6, 0, 0, 0, 0, 0, -162, 0, 0, 0, -120, 0, -48, 0, 0, 0, 210, 0, 42, 0, 0, 0, -120, 0, -198, 0, 0, 0, -174, 0, 162, 0, 0, 0, -708, 0, 0, 0, 0, 0, -66, 0, -18, 0, 0, 0, -474, 0, 0, 0, 0, 0, -264, 0, 144, 0, 0, 0, 264, 0, 84, 0, 0, 0, -708, 0, 6, 0, 0, 0, 0, 0, -18, 0, 0, 0, -36, 0, -378, 0, 0, 0, 0, 0, -72, 0, 0, 0, -366, 0, 0, 0, 0, 0, -294, 0, -30, 0, 0, 0, 318, 0, -54, 0, 0, 0, -312, 0, -90, 0, 0, 0, 18, 0, 0, 0, 0, 0, -102, 0, 36, 0, 0, 0, 204, 0, 42, 0, 0, 0, 0, 0, -126, 0, 0, 0, -102, 0, -228, 0, 0, 0, -306, 0, -6, 0, 0, 0, 78, 0, 24, 0, 0, 0, -180, 0, 108, 0, 0, 0, 84, 0, 0, 0, 0, 0, 156, 0, 6, 0, 0, 0, 414, 0, 0, 0, 0, 0, 588, 0, 360, 0, 0, 0, -696, 0, -108, 0, 0, 0, 228, 0, 258, 0, 0, 0, 0, 0, -198, 0, 0, 0, 348, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 540, 0, 108, 0, 0, 0, 348, 0, 216, 0, 0, 0, -72, 0, -48, 0, 0, 0, 204, 0, -108, 0, 0, 0, -600, 0, 0, 0, 0, 0, -162, 0, 126, 0, 0, 0, -36, 0, 48, 0, 0, 0, 0, 0, -90, 0, 0, 0, 216, 0, -138, 0, 0, 0, 108, 0, -72, 0, 0, 0, -426, 0, 246, 0, 0, 0, -216, 0, 144, 0, 0, 0, 132, 0, 0, 0, 0, 0, 18, 0, -84, 0, 0, 0, -540, 0, 0, 0, 0, 0, -516, 0, 96, 0, 0, 0, 888, 0, -24, 0, 0, 0, -564, 0, 120, 0, 0, 0, 0, 0, 36, 0, 0, 0, -144, 0, 72, 0, 0, 0, 0, 0, 84, 0, 0, 0, -450, 0, 432, 0, 0, 0, -456, 0, 138, 0, 0, 0, 198, 0, -222, 0, 0, 0, -150, 0, -48, 0, 0, 0, -60, 0, 0, 0, 0, 0, 330, 0, 234, 0, 0, 0, 120, 0, 6, 0, 0, 0, 0, 0, 180, 0, 0, 0, -186, 0, 36, 0, 0, 0, -132, 0, -90, 0, 0, 0, 282, 0, 198, 0, 0, 0, 480, 0, -108, 0, 0, 0, 372, 0, 0, 0, 0, 0, -162, 0, -78, 0, 0, 0, 540, 0, 0, 0, 0, 0, -90, 0, -240, 0, 0, 0, -624, 0, -276, 0, 0, 0, 756, 0, -54, 0, 0, 0, 0, 0, 144, 0, 0, 0, -126, 0, 288, 0, 0, 0, 0, 0, 36, 0, 0, 0, 456, 0, 144, 0, 0, 0, 498, 0, 48, 0, 0, 0, -360, 0, -54, 0, 0, 0, 240, 0, -132, 0, 0, 0, 114, 0, 0, 0, 0, 0, -84, 0, -126, 0, 0, 0, -198, 0, -114, 0, 0, 0, 0, 0, 144, 0, 0, 0, -294, 0, 180, 0, 0, 0, 408, 0, -66, 0, 0, 0, -78, 0, 36, 0, 0, 0, -96, 0, -90, 0, 0, 0, -756, 0, 0, 0, 0, 0, -174, 0, -48, 0, 0, 0, -756, 0, 0, 0, 0, 0, -294, 0, -432, 0, 0, 0, 264, 0, -72, 0, 0, 0, -288, 0, -258, 0, 0, 0, 0, 0, 18, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, -108, 0, 0, 0, -576, 0, -432, 0, 0, 0, -222, 0, -162, 0, 0, 0, 336, 0, -60, 0, 0, 0, -252, 0, 138, 0, 0, 0, 240, 0, 0, 0, 0, 0, -60, 0, -270, 0, 0, 0, -168, 0, 6, 0, 0, 0, 0, 0, 108, 0, 0, 0, 84, 0, 210, 0, 0, 0, -504, 0, -6, 0, 0, 0, 318, 0, -144, 0, 0, 0, -444, 0, 270, 0, 0, 0, 408, 0, 0, 0, 0, 0, 390, 0, 36, 0, 0, 0, 468, 0, 0, 0, 0, 0, 798, 0, -192, 0, 0, 0, -324, 0, 96, 0, 0, 0, 216, 0, -156, 0, 0, 0, 0, 0, 144, 0, 0, 0, 300, 0, -432, 0, 0, 0, 0, 0, -60, 0, 0, 0, 516, 0, -216, 0, 0, 0, 732, 0, -168, 0, 0, 0, -174, 0, 60, 0, 0, 0, 306, 0, -162, 0, 0, 0, -384, 0, 0, 0, 0, 0, 6, 0, -108, 0, 0, 0, 126, 0, 72, 0, 0, 0, 0, 0, -90, 0, 0, 0, 510, 0, -126, 0, 0, 0, 324, 0, 60, 0, 0, 0, -330, 0, 6, 0, 0, 0, -258, 0, 0, 0, 0, 0, 444, 0, 0, 0, 0, 0, -414, 0, -12, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_cc •

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

  
  {'an_normalized': [[1.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.09086408680293571, 0.0], [0.0, 0.0], [-0.48051496488241907, -0.8769865269911776], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -1.3473436820961804], [0.0, 0.0], [0.3483121519824382, 0.20109811470907854], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.3894783607724747, -0.6745963093065673], [0.0, 0.0], [-1.4227354763409115, 0.8214167102510557], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.2640945134050456], [0.0, 0.0], [-0.9917437177294686, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.17537689555679026, -0.10125389785935374], [0.0, 0.0], [-1.0058276739929755, 0.5807148783382194], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.04366155347918573, -0.0796865799135315], [0.0, 0.0], [0.49789133976184297, 0.8623730971160504], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.05789150591490614, -0.10027102957129161], [0.0, 0.0], [-0.7164417802177887, -1.240913564002305], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.006795040821590182, -0.011769355942498762], 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-0.2274341584549672, -0.3897002676393157, -0.23711054078662186, -0.31391263498195987, -0.4413082618815579, 0.0031208251959052, -0.3579626356262464, -0.2566537725284401, -0.3050784922645062, -0.32041629937303717, -0.38156129179995063, 0.017794202525702504, -0.07185174582803588, -0.1476990231678982, 0.07816639896062738, -0.06461957767715393, -0.39837610927726513, -0.41589555525491256, 0.10580765787778344, -0.3773642214257423, 0.1275125575941171, -0.1941500420358433, -0.22377040842886228, -0.2767045880218433, -0.4608720840402218, -0.18505869793866758, -0.1167426152549879, -0.4085615913005362, -0.1387966427836246, -0.025180924821375263, -0.12016676618419217, -0.2505509707578857, 0.003189275789505187, -0.34880048475827385, -0.4369017652295107, -0.2613259616735905, -0.3868847133857349, -0.13797693909302128, -0.47602152370789513, -0.4164466959159309, 0.13285515722321767, -0.425271728713112, -0.15621335483341015, -0.11260410596346897, -0.22559237770134505, -0.4695221363610539, -0.45637981609532546, -0.4707863561273058, -0.35519959865073225, -0.4077306325928304, -0.3532255038333285], 'char_orbit_index': 76, 'conrey_index': 17, 'dual_conrey_index': 89, 'dual_embedding_index': 11, 'dual_embedding_m': 35, 'embedding_index': 11, 'embedding_m': 11, 'hecke_orbit': 1, 'hecke_orbit_code': 5153994311144, 'label': '1512.2.cx.a.17.11', 'level': 1512, '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': 6048, 'analytic_conductor': 12.073380785617594, 'char_conductor': 63, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 76, 'char_orbit_label': 'cx', 'char_order': 6, 'char_parity': 1, 'char_values': [1512, 6, [1135, 757, 785, 1081], [6, 6, 5, 1]], 'conrey_index': 17, 'cusp_dim': 528, 'dim': 48, 'eis_dim': 96, 'eis_new_dim': 0, 'hecke_orbit_code': 5153994311144, 'hecke_orbit_dims': [48], 'label': '1512.2.cx', 'level': 1512, '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, 3, 7], 'level_radical': 42, 'mf_dim': 624, 'mf_new_dim': 48, 'num_forms': 1, 'prim_orbit_index': 19, 'relative_dim': 24, 'sturm_bound': 576, 'trace_bound': 0, 'trace_display': [0, 0, 0, 0], 'traces': [48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, -18, 0, 18, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, -6, 0, 0, 0, -18, 0, -12, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 18, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18, 0, 6, 0, 0, 0, 54, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 78, 0, 0, 0, 0, 0, 36, 0, -48, 0, 0, 0, -72, 0, 12, 0, 0, 0, 60, 0, -6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18, 0, 0, 0, 0, 0, 24, 0, 0, 0, 48, 0, 36, 0, 0, 0, 48, 0, 0, 0, 0, 0, -90, 0, 12, 0, 0, 0, 72, 0, -6, 0, 0, 0, 36, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, -36, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, -60, 0, 30, 0, 0, 0, 42, 0, 0, 0, 0, 0, -60, 0, -6, 0, 0, 0, -24, 0, -18, 0, 0, 0, -108, 0, 0, 0, 0, 0, 0, 0, -18, 0, 0, 0, -144, 0, 0, 0, 0, 0, -96, 0, -108, 0, 0, 0, 36, 0, 0, 0, 0, 0, -144, 0, -60, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, -156, 0, -18, 0, 0, 0, -150, 0, -36, 0, 0, 0, 84, 0, 12, 0, 0, 0, -60, 0, 18, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, 30, 0, -36, 0, 0, 0, 0, 0, 0, 0, 0, 0, -90, 0, 36, 0, 0, 0, -180, 0, 18, 0, 0, 0, 54, 0, -114, 0, 0, 0, -42, 0, -54, 0, 0, 0, 120, 0, 0, 0, 0, 0, 60, 0, 12, 0, 0, 0, 216, 0, 0, 0, 0, 0, 144, 0, -48, 0, 0, 0, -276, 0, 48, 0, 0, 0, 168, 0, -60, 0, 0, 0, 0, 0, 0, 0, 0, 0, 126, 0, -54, 0, 0, 0, 0, 0, -60, 0, 0, 0, 240, 0, -144, 0, 0, 0, 114, 0, -54, 0, 0, 0, -60, 0, 36, 0, 0, 0, 54, 0, -6, 0, 0, 0, -204, 0, 0, 0, 0, 0, -54, 0, 0, 0, 0, 0, 72, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 126, 0, -6, 0, 0, 0, 138, 0, 18, 0, 0, 0, -78, 0, -114, 0, 0, 0, -60, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 84, 0, 54, 0, 0, 0, -120, 0, 0, 0, 0, 0, -138, 0, 108, 0, 0, 0, 336, 0, 36, 0, 0, 0, -216, 0, 18, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, -54, 0, 0, 0, 0, 0, -108, 0, 0, 0, -234, 0, -162, 0, 0, 0, -222, 0, -18, 0, 0, 0, 108, 0, 42, 0, 0, 0, -72, 0, -30, 0, 0, 0, 90, 0, 0, 0, 0, 0, 162, 0, 0, 0, 0, 0, -48, 0, 36, 0, 0, 0, 0, 0, -54, 0, 0, 0, -198, 0, -30, 0, 0, 0, -54, 0, 12, 0, 0, 0, 156, 0, -12, 0, 0, 0, 246, 0, 18, 0, 0, 0, 180, 0, 0, 0, 0, 0, -18, 0, 36, 0, 0, 0, 306, 0, 0, 0, 0, 0, 102, 0, 216, 0, 0, 0, -396, 0, 144, 0, 0, 0, 324, 0, 90, 0, 0, 0, 0, 0, 126, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, 0, 216, 0, 108, 0, 0, 0, 312, 0, 12, 0, 0, 0, -276, 0, -24, 0, 0, 0, 42, 0, -54, 0, 0, 0, 210, 0, 0, 0, 0, 0, -96, 0, 126, 0, 0, 0, -180, 0, 36, 0, 0, 0, 0, 0, -36, 0, 0, 0, -108, 0, -42, 0, 0, 0, 180, 0, 12, 0, 0, 0, -96, 0, 72, 0, 0, 0, -144, 0, -54, 0, 0, 0, -252, 0, 0, 0, 0, 0, -84, 0, 30, 0, 0, 0, -276, 0, 0, 0, 0, 0, -264, 0, 132, 0, 0, 0, 168, 0, 24, 0, 0, 0, -96, 0, 120, 0, 0, 0, 0, 0, 72, 0, 0, 0, -108, 0, 252, 0, 0, 0, 0, 0, 120, 0, 0, 0, -372, 0, 162, 0, 0, 0, -306, 0, 66, 0, 0, 0, 120, 0, 36, 0, 0, 0, -216, 0, -18, 0, 0, 0, 150, 0, 0, 0, 0, 0, 0, 0, 108, 0, 0, 0, 66, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 84, 0, 48, 0, 0, 0, -282, 0, -12, 0, 0, 0, 246, 0, 114, 0, 0, 0, 0, 0, -72, 0, 0, 0, 144, 0, 0, 0, 0, 0, 132, 0, -6, 0, 0, 0, 366, 0, 0, 0, 0, 0, 492, 0, -120, 0, 0, 0, -324, 0, 48, 0, 0, 0, 120, 0, -54, 0, 0, 0, 0, 0, 18, 0, 0, 0, 216, 0, 216, 0, 0, 0, 0, 0, 120, 0, 0, 0, 480, 0, 126, 0, 0, 0, 312, 0, -18, 0, 0, 0, -78, 0, -6, 0, 0, 0, 228, 0, 90, 0, 0, 0, -384, 0, 0, 0, 0, 0, -66, 0, 0, 0, 0, 0, -12, 0, -42, 0, 0, 0, 0, 0, 72, 0, 0, 0, 174, 0, 108, 0, 0, 0, 252, 0, -6, 0, 0, 0, -228, 0, -24, 0, 0, 0, 6, 0, -144, 0, 0, 0, 108, 0, 0, 0, 0, 0, -258, 0, 0, 0, 0, 0, -390, 0, 0, 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: 32817601
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 17, 'source_dim': 48, 'source_embedding_index': 11, 'source_hecke_orbit_code': 5153994311144, 'source_is_minimal': False, 'source_label': '1512.2.cx.a.17.11', 'source_level': 1512, 'target_conrey_index': 17, 'target_dim': 48, 'target_embedding_index': 11, 'target_hecke_orbit_code': 5153994311144, 'target_is_minimal': False, 'target_label': '1512.2.cx.a.17.11', 'target_level': 1512, 'twist_class_label': '504.2.bs.a.257.10', 'twist_class_level': 504, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 32817602
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 17, 'source_dim': 48, 'source_embedding_index': 11, 'source_hecke_orbit_code': 5153994311144, 'source_is_minimal': False, 'source_label': '1512.2.cx.a.17.11', 'source_level': 1512, 'target_conrey_index': 185, 'target_dim': 48, 'target_embedding_index': 3, 'target_hecke_orbit_code': 5153994310136, 'target_is_minimal': True, 'target_label': '504.2.cx.a.185.3', 'target_level': 504, 'twist_class_label': '504.2.bs.a.257.10', 'twist_class_level': 504, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 32817603
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 17, 'source_dim': 48, 'source_embedding_index': 11, 'source_hecke_orbit_code': 5153994311144, 'source_is_minimal': False, 'source_label': '1512.2.cx.a.17.11', 'source_level': 1512, 'target_conrey_index': 17, 'target_dim': 48, 'target_embedding_index': 11, 'target_hecke_orbit_code': 18020102259608528, 'target_is_minimal': False, 'target_label': '3024.2.df.e.17.11', 'target_level': 3024, 'twist_class_label': '504.2.bs.a.257.10', 'twist_class_level': 504, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 32817604
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 17, 'source_dim': 48, 'source_embedding_index': 11, 'source_hecke_orbit_code': 5153994311144, 'source_is_minimal': False, 'source_label': '1512.2.cx.a.17.11', 'source_level': 1512, 'target_conrey_index': 1097, 'target_dim': 48, 'target_embedding_index': 11, 'target_hecke_orbit_code': 3023690532328, 'target_is_minimal': False, 'target_label': '1512.2.bs.a.1097.11', 'target_level': 1512, 'twist_class_label': '504.2.bs.a.257.10', 'twist_class_level': 504, 'twisting_char_label': '7.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 32817605
    {'conductor': 9, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 17, 'source_dim': 48, 'source_embedding_index': 11, 'source_hecke_orbit_code': 5153994311144, 'source_is_minimal': False, 'source_label': '1512.2.cx.a.17.11', 'source_level': 1512, 'target_conrey_index': 521, 'target_dim': 48, 'target_embedding_index': 11, 'target_hecke_orbit_code': 3023690532328, 'target_is_minimal': False, 'target_label': '1512.2.bs.a.521.11', 'target_level': 1512, 'twist_class_label': '504.2.bs.a.257.10', 'twist_class_level': 504, 'twisting_char_label': '9.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 32817606
    {'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 17, 'source_dim': 48, 'source_embedding_index': 11, 'source_hecke_orbit_code': 5153994311144, 'source_is_minimal': False, 'source_label': '1512.2.cx.a.17.11', 'source_level': 1512, 'target_conrey_index': 353, 'target_dim': 48, 'target_embedding_index': 10, 'target_hecke_orbit_code': 3023690531320, 'target_is_minimal': True, 'target_label': '504.2.bs.a.353.10', 'target_level': 504, 'twist_class_label': '504.2.bs.a.257.10', 'twist_class_level': 504, 'twisting_char_label': '9.7', 'twisting_conrey_index': 7, 'weight': 2}
  • id: 32817607
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 17, 'source_dim': 48, 'source_embedding_index': 11, 'source_hecke_orbit_code': 5153994311144, 'source_is_minimal': False, 'source_label': '1512.2.cx.a.17.11', 'source_level': 1512, 'target_conrey_index': 689, 'target_dim': 48, 'target_embedding_index': 22, 'target_hecke_orbit_code': 18020102259606512, 'target_is_minimal': False, 'target_label': '1008.2.df.e.689.22', 'target_level': 1008, 'twist_class_label': '504.2.bs.a.257.10', 'twist_class_level': 504, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 32817608
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 17, 'source_dim': 48, 'source_embedding_index': 11, 'source_hecke_orbit_code': 5153994311144, 'source_is_minimal': False, 'source_label': '1512.2.cx.a.17.11', 'source_level': 1512, 'target_conrey_index': 257, 'target_dim': 48, 'target_embedding_index': 10, 'target_hecke_orbit_code': 3023690531320, 'target_is_minimal': True, 'target_label': '504.2.bs.a.257.10', 'target_level': 504, 'twist_class_label': '504.2.bs.a.257.10', 'twist_class_level': 504, 'twisting_char_label': '21.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 32817609
    {'conductor': 28, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 17, 'source_dim': 48, 'source_embedding_index': 11, 'source_hecke_orbit_code': 5153994311144, 'source_is_minimal': False, 'source_label': '1512.2.cx.a.17.11', 'source_level': 1512, 'target_conrey_index': 2609, 'target_dim': 48, 'target_embedding_index': 11, 'target_hecke_orbit_code': 18017971955829712, 'target_is_minimal': False, 'target_label': '3024.2.ca.e.2609.11', 'target_level': 3024, 'twist_class_label': '504.2.bs.a.257.10', 'twist_class_level': 504, 'twisting_char_label': '28.19', 'twisting_conrey_index': 19, 'weight': 2}
  • id: 32817610
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 17, 'source_dim': 48, 'source_embedding_index': 11, 'source_hecke_orbit_code': 5153994311144, 'source_is_minimal': False, 'source_label': '1512.2.cx.a.17.11', 'source_level': 1512, 'target_conrey_index': 353, 'target_dim': 48, 'target_embedding_index': 15, 'target_hecke_orbit_code': 18017971955827696, 'target_is_minimal': False, 'target_label': '1008.2.ca.e.353.15', 'target_level': 1008, 'twist_class_label': '504.2.bs.a.257.10', 'twist_class_level': 504, 'twisting_char_label': '36.7', 'twisting_conrey_index': 7, 'weight': 2}
  • id: 32817611
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 17, 'source_dim': 48, 'source_embedding_index': 11, 'source_hecke_orbit_code': 5153994311144, 'source_is_minimal': False, 'source_label': '1512.2.cx.a.17.11', 'source_level': 1512, 'target_conrey_index': 2033, 'target_dim': 48, 'target_embedding_index': 11, 'target_hecke_orbit_code': 18017971955829712, 'target_is_minimal': False, 'target_label': '3024.2.ca.e.2033.11', 'target_level': 3024, 'twist_class_label': '504.2.bs.a.257.10', 'twist_class_level': 504, 'twisting_char_label': '36.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 32817612
    {'conductor': 63, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 17, 'source_dim': 48, 'source_embedding_index': 11, 'source_hecke_orbit_code': 5153994311144, 'source_is_minimal': False, 'source_label': '1512.2.cx.a.17.11', 'source_level': 1512, 'target_conrey_index': 89, 'target_dim': 48, 'target_embedding_index': 11, 'target_hecke_orbit_code': 5153994311144, 'target_is_minimal': False, 'target_label': '1512.2.cx.a.89.11', 'target_level': 1512, 'twist_class_label': '504.2.bs.a.257.10', 'twist_class_level': 504, 'twisting_char_label': '63.47', 'twisting_conrey_index': 47, 'weight': 2}
  • id: 32817613
    {'conductor': 63, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 17, 'source_dim': 48, 'source_embedding_index': 11, 'source_hecke_orbit_code': 5153994311144, 'source_is_minimal': False, 'source_label': '1512.2.cx.a.17.11', 'source_level': 1512, 'target_conrey_index': 425, 'target_dim': 48, 'target_embedding_index': 3, 'target_hecke_orbit_code': 5153994310136, 'target_is_minimal': True, 'target_label': '504.2.cx.a.425.3', 'target_level': 504, 'twist_class_label': '504.2.bs.a.257.10', 'twist_class_level': 504, 'twisting_char_label': '63.61', 'twisting_conrey_index': 61, 'weight': 2}
  • id: 32817614
    {'conductor': 84, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 17, 'source_dim': 48, 'source_embedding_index': 11, 'source_hecke_orbit_code': 5153994311144, 'source_is_minimal': False, 'source_label': '1512.2.cx.a.17.11', 'source_level': 1512, 'target_conrey_index': 257, 'target_dim': 48, 'target_embedding_index': 15, 'target_hecke_orbit_code': 18017971955827696, 'target_is_minimal': False, 'target_label': '1008.2.ca.e.257.15', 'target_level': 1008, 'twist_class_label': '504.2.bs.a.257.10', 'twist_class_level': 504, 'twisting_char_label': '84.47', 'twisting_conrey_index': 47, 'weight': 2}
  • id: 32817615
    {'conductor': 252, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 17, 'source_dim': 48, 'source_embedding_index': 11, 'source_hecke_orbit_code': 5153994311144, 'source_is_minimal': False, 'source_label': '1512.2.cx.a.17.11', 'source_level': 1512, 'target_conrey_index': 1601, 'target_dim': 48, 'target_embedding_index': 11, 'target_hecke_orbit_code': 18020102259608528, 'target_is_minimal': False, 'target_label': '3024.2.df.e.1601.11', 'target_level': 3024, 'twist_class_label': '504.2.bs.a.257.10', 'twist_class_level': 504, 'twisting_char_label': '252.47', 'twisting_conrey_index': 47, 'weight': 2}
  • id: 32817616
    {'conductor': 252, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 17, 'source_dim': 48, 'source_embedding_index': 11, 'source_hecke_orbit_code': 5153994311144, 'source_is_minimal': False, 'source_label': '1512.2.cx.a.17.11', 'source_level': 1512, 'target_conrey_index': 929, 'target_dim': 48, 'target_embedding_index': 22, 'target_hecke_orbit_code': 18020102259606512, 'target_is_minimal': False, 'target_label': '1008.2.df.e.929.22', 'target_level': 1008, 'twist_class_label': '504.2.bs.a.257.10', 'twist_class_level': 504, 'twisting_char_label': '252.187', 'twisting_conrey_index': 187, 'weight': 2}
• hecke_orbit_code 5153994311144 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': 76, 'hecke_orbit': 1, 'label': '1512.2.cx.a', 'level': 1512, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 15622998
    {'hecke_orbit_code': 5153994311144, 'n': 1, 'trace_an': 48}
  • id: 15622999
    {'hecke_orbit_code': 5153994311144, 'n': 2, 'trace_an': 0}
  • id: 15623000
    {'hecke_orbit_code': 5153994311144, 'n': 3, 'trace_an': 0}
  • id: 15623001
    {'hecke_orbit_code': 5153994311144, 'n': 4, 'trace_an': 0}
  • id: 15623002
    {'hecke_orbit_code': 5153994311144, 'n': 5, 'trace_an': 0}
  • id: 15623003
    {'hecke_orbit_code': 5153994311144, 'n': 6, 'trace_an': 0}
  • id: 15623004
    {'hecke_orbit_code': 5153994311144, 'n': 7, 'trace_an': 0}
  • id: 15623005
    {'hecke_orbit_code': 5153994311144, 'n': 8, 'trace_an': 0}
  • id: 15623006
    {'hecke_orbit_code': 5153994311144, 'n': 9, 'trace_an': 0}
  • id: 15623007
    {'hecke_orbit_code': 5153994311144, 'n': 10, 'trace_an': 0}
  • id: 15623008
    {'hecke_orbit_code': 5153994311144, 'n': 11, 'trace_an': 0}
  • id: 15623009
    {'hecke_orbit_code': 5153994311144, 'n': 12, 'trace_an': 0}
  • id: 15623010
    {'hecke_orbit_code': 5153994311144, 'n': 13, 'trace_an': 0}
  • id: 15623011
    {'hecke_orbit_code': 5153994311144, 'n': 14, 'trace_an': 0}
  • id: 15623012
    {'hecke_orbit_code': 5153994311144, 'n': 15, 'trace_an': 0}
  • id: 15623013
    {'hecke_orbit_code': 5153994311144, 'n': 16, 'trace_an': 0}
  • id: 15623014
    {'hecke_orbit_code': 5153994311144, 'n': 17, 'trace_an': 0}
  • id: 15623015
    {'hecke_orbit_code': 5153994311144, 'n': 18, 'trace_an': 0}
  • id: 15623016
    {'hecke_orbit_code': 5153994311144, 'n': 19, 'trace_an': 0}
  • id: 15623017
    {'hecke_orbit_code': 5153994311144, 'n': 20, 'trace_an': 0}
  • id: 15623018
    {'hecke_orbit_code': 5153994311144, 'n': 21, 'trace_an': 0}
  • id: 15623019
    {'hecke_orbit_code': 5153994311144, 'n': 22, 'trace_an': 0}
  • id: 15623020
    {'hecke_orbit_code': 5153994311144, 'n': 23, 'trace_an': 0}
  • id: 15623021
    {'hecke_orbit_code': 5153994311144, 'n': 24, 'trace_an': 0}
  • id: 15623022
    {'hecke_orbit_code': 5153994311144, 'n': 25, 'trace_an': 48}
  • id: 15623023
    {'hecke_orbit_code': 5153994311144, 'n': 26, 'trace_an': 0}
  • id: 15623024
    {'hecke_orbit_code': 5153994311144, 'n': 27, 'trace_an': 0}
  • id: 15623025
    {'hecke_orbit_code': 5153994311144, 'n': 28, 'trace_an': 0}
  • id: 15623026
    {'hecke_orbit_code': 5153994311144, 'n': 29, 'trace_an': -18}
  • id: 15623027
    {'hecke_orbit_code': 5153994311144, 'n': 30, 'trace_an': 0}
  • id: 15623028
    {'hecke_orbit_code': 5153994311144, 'n': 31, 'trace_an': 18}
  • id: 15623029
    {'hecke_orbit_code': 5153994311144, 'n': 32, 'trace_an': 0}
  • id: 15623030
    {'hecke_orbit_code': 5153994311144, 'n': 33, 'trace_an': 0}
  • id: 15623031
    {'hecke_orbit_code': 5153994311144, 'n': 34, 'trace_an': 0}
  • id: 15623032
    {'hecke_orbit_code': 5153994311144, 'n': 35, 'trace_an': 0}
  • id: 15623033
    {'hecke_orbit_code': 5153994311144, 'n': 36, 'trace_an': 0}
  • id: 15623034
    {'hecke_orbit_code': 5153994311144, 'n': 37, 'trace_an': 0}
  • id: 15623035
    {'hecke_orbit_code': 5153994311144, 'n': 38, 'trace_an': 0}
  • id: 15623036
    {'hecke_orbit_code': 5153994311144, 'n': 39, 'trace_an': 0}
  • id: 15623037
    {'hecke_orbit_code': 5153994311144, 'n': 40, 'trace_an': 0}
  • id: 15623038
    {'hecke_orbit_code': 5153994311144, 'n': 41, 'trace_an': 6}
  • id: 15623039
    {'hecke_orbit_code': 5153994311144, 'n': 42, 'trace_an': 0}
  • id: 15623040
    {'hecke_orbit_code': 5153994311144, 'n': 43, 'trace_an': -6}
  • id: 15623041
    {'hecke_orbit_code': 5153994311144, 'n': 44, 'trace_an': 0}
  • id: 15623042
    {'hecke_orbit_code': 5153994311144, 'n': 45, 'trace_an': 0}
  • id: 15623043
    {'hecke_orbit_code': 5153994311144, 'n': 46, 'trace_an': 0}
  • id: 15623044
    {'hecke_orbit_code': 5153994311144, 'n': 47, 'trace_an': -18}
  • id: 15623045
    {'hecke_orbit_code': 5153994311144, 'n': 48, 'trace_an': 0}
  • id: 15623046
    {'hecke_orbit_code': 5153994311144, 'n': 49, 'trace_an': -12}
  • id: 15623047
    {'hecke_orbit_code': 5153994311144, 'n': 50, 'trace_an': 0}
  • id: 15623048
    {'hecke_orbit_code': 5153994311144, 'n': 51, 'trace_an': 0}
  • id: 15623049
    {'hecke_orbit_code': 5153994311144, 'n': 52, 'trace_an': 0}
  • id: 15623050
    {'hecke_orbit_code': 5153994311144, 'n': 53, 'trace_an': 12}
  • id: 15623051
    {'hecke_orbit_code': 5153994311144, 'n': 54, 'trace_an': 0}
  • id: 15623052
    {'hecke_orbit_code': 5153994311144, 'n': 55, 'trace_an': 0}
  • id: 15623053
    {'hecke_orbit_code': 5153994311144, 'n': 56, 'trace_an': 0}
  • id: 15623054
    {'hecke_orbit_code': 5153994311144, 'n': 57, 'trace_an': 0}
  • id: 15623055
    {'hecke_orbit_code': 5153994311144, 'n': 58, 'trace_an': 0}
  • id: 15623056
    {'hecke_orbit_code': 5153994311144, 'n': 59, 'trace_an': 0}
  • id: 15623057
    {'hecke_orbit_code': 5153994311144, 'n': 60, 'trace_an': 0}
  • id: 15623058
    {'hecke_orbit_code': 5153994311144, 'n': 61, 'trace_an': 18}
  • id: 15623059
    {'hecke_orbit_code': 5153994311144, 'n': 62, 'trace_an': 0}
  • id: 15623060
    {'hecke_orbit_code': 5153994311144, 'n': 63, 'trace_an': 0}
  • id: 15623061
    {'hecke_orbit_code': 5153994311144, 'n': 64, 'trace_an': 0}
  • id: 15623062
    {'hecke_orbit_code': 5153994311144, 'n': 65, 'trace_an': 36}
  • id: 15623063
    {'hecke_orbit_code': 5153994311144, 'n': 66, 'trace_an': 0}
  • id: 15623064
    {'hecke_orbit_code': 5153994311144, 'n': 67, 'trace_an': 0}
  • id: 15623065
    {'hecke_orbit_code': 5153994311144, 'n': 68, 'trace_an': 0}
  • id: 15623066
    {'hecke_orbit_code': 5153994311144, 'n': 69, 'trace_an': 0}
  • id: 15623067
    {'hecke_orbit_code': 5153994311144, 'n': 70, 'trace_an': 0}
  • id: 15623068
    {'hecke_orbit_code': 5153994311144, 'n': 71, 'trace_an': 0}
  • id: 15623069
    {'hecke_orbit_code': 5153994311144, 'n': 72, 'trace_an': 0}
  • id: 15623070
    {'hecke_orbit_code': 5153994311144, 'n': 73, 'trace_an': 0}
  • id: 15623071
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  • id: 15623221
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  • id: 15623222
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  • id: 15623242
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