Embedded newform data - 672.2.bi.c.17.22

Formats: - HTML - YAML - JSON - 2025-09-21T13:22:50.172923

• 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': 2688, 'analytic_conductor': 5.3659470158300415, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 168, 'char_degree': 2, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 35, 'char_orbit_label': 'bi', 'char_order': 6, 'char_parity': 1, 'char_values': [672, 6, [127, 421, 449, 577], [6, 3, 3, 1]], 'cm_discs': [], 'conrey_index': 17, 'dim': 48, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [5184, 0, -55872, 0, 445432, 0, -1506760, 0, 3734769, 0, -2318580, 0, 963618, 0, -241512, 0, 44115, 0, -5472, 0, 498, 0, -28, 0, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9009535750505120, 'inner_twist_count': 8, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0], [1, 1, 7, 4, -1, 6, 0], [1, 1, 8, 2, 1, 2, 0], [1, 1, 21, 7, 1, 6, 0], [1, 1, 24, 8, -1, 2, 0], [1, 1, 56, 10, -1, 6, 0], [1, 1, 168, 27, 1, 6, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '672.2.bi.c', 'level': 672, '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': '168.2.ba.c', 'prim_orbit_index': 27, 'related_objects': [], 'relative_dim': 24, 'rm_discs': [], 'sato_tate_group': '1.2.3.c6', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '672.2.bi', 'trace_display': [0, 0, 0, 4], 'traces': [48, 0, 0, 0, 0, 0, 4, 0, -14, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, -48, 0, -42, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 56, 0, 42, 0, 0, 0, 0, 0, 132, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -60, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, -24, 0, 12, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, -78, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 112, 0, 22, 0, 0, 0, 0, 0, -172, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 12, 0, 18, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, -162, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 8, 0, 88, 0, 0, 0, 0, 0, -102, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, -20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 156, 0, 0, 0, 0, 0, 0, 0, 234, 0, 0, 0, 0, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, -104, 0, 74, 0, 0, 0, 0, 0, 368, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, -120, 0, -36, 0, 0, 0, 0, 0, -50, 0, 0, 0, 0, 0, 0, 0, 0, 0, 108, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 92, 0, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, -4, 0, -32, 0, 0, 0, 0, 0, 138, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 202, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, -496, 0, -222, 0, 0, 0, 0, 0, 14, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, 0, 0, -282, 0, 0, 0, 0, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, -84, 0, -56, 0, 0, 0, 0, 0, -148, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, -78, 0, 0, 0, 0, 0, -76, 0, 0, 0, 0, 0, 0, 0, 0, 0, 252, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, -202, 0, 0, 0, 0, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, -120, 0, -172, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 144, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 232, 0, 0, 0, 0, 0, 728, 0, -108, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 0, 0, 320, 0, 0, 0, 0, 0, 0, 0, 360, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 132, 0, -2, 0, 0, 0, 0, 0, 524, 0, 0, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 180, 0, 6, 0, 0, 0, 0, 0, -6, 0, 0, 0, 0, 0, 0, 0, 0, 0, -300, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, 320, 0, 0, 0, 0, 0, 0, 0, 0, 0, -324, 0, 0, 0, 0, 0, 24, 0, -8, 0, 0, 0, 0, 0, 174, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -312, 0, -204, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -152, 0, 0, 0, 0, 0, -840, 0, 42, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 0, 0, -268, 0, 0, 0, 0, 0, 0, 0, -354, 0, 0, 0, 0, 0, 0, 0, 0, 0, -552, 0, 0, 0, 0, 0, -104, 0, 82, 0, 0, 0, 0, 0, -692, 0, 0, 0, 0, 0, 0, 0, 0, 0, 148, 0, 0, 0, 0, 0, -72, 0, 252, 0, 0, 0, 0, 0, -28, 0, 0, 0, 0, 0, 0, 0, 0, 0, -188, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, -180, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, -196, 0, 208, 0, 0, 0, 0, 0, -354, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 768, 0, 148, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -240, 0, 0, 0, 0, 0, 360, 0, 366, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 492, 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], [0.9772971715625018, -0.21187316596476732], [0.0, 0.0], [-1.193246405522882, 0.6889211334381893], [0.0, 0.0], [0.5529871217528729, -0.8331898002108963], [0.0, 0.0], [0.9102195230881324, -0.41412609165471925], [0.0, 0.0], [-0.18747386765262886, 0.3247142638657966], [0.0, 0.0], [1.661207858712188, 0.0], [0.0, 0.0], [-1.0201924354530496, 0.926097568852987], [0.0, 0.0], [0.14451579994848174, -0.25030870800723015], [0.0, 0.0], [0.1408900962970896, 0.24402880506983093], [0.0, 0.0], [0.363902189179337, -0.9314371673443604], [0.0, 0.0], [0.5357905609525723, -0.3093388245952282], [0.0, 0.0], [0.4492246561955188, -0.7780799285432997], [0.0, 0.0], [0.8018127592675003, -0.5975753501240137], [0.0, 0.0], [0.5940402435939037, 0.0], [0.0, 0.0], [-0.24064765109397293, -0.13893798613895642], [0.0, 0.0], [-0.1144194414796318, 0.35706301351726516], [0.0, 0.0], [-0.08584783380163076, 1.3751652489146915], [0.0, 0.0], [0.055069996890995704, -0.031794677529288225], [0.0, 0.0], [1.6234937416968214, -0.35196536835090314], [0.0, 0.0], [1.47437333402416, 0.0], [0.0, 0.0], [0.0, 1.2642993417363293], [0.0, 0.0], [-0.8008159577125692, 1.1212239358236775], [0.0, 0.0], [-0.48754561938819857, -0.8444537837879978], [0.0, 0.0], [-0.3884104863509466, -0.9214864589849495], [0.0, 0.0], [0.08820118410170122, -0.275245012419946], [0.0, 0.0], [-0.7215779840646478, 1.2498097300230957], [0.0, 0.0], [0.0, -0.5166188375731606], [0.0, 0.0], [0.18939464812905832, 0.20863783021897755], [0.0, 0.0], [-0.4203767664896092, -0.24270463929384034], [0.0, 0.0], [-0.4052273007346553, -0.7018742734864161], [0.0, 0.0], [0.15829403866786407, -0.9873920180567679], [0.0, 0.0], [-1.982230306234682, 1.144441200900428], [0.0, 0.0], [-1.3111677816562437, -0.7570030716919968], [0.0, 0.0], [0.4580860036460243, -0.41583560077444554], [0.0, 0.0], [0.0, 0.7371096832179852], [0.0, 0.0], [-1.0451337297561072, -0.6034082402138461], [0.0, 0.0], [0.27417172806190904, -0.8555939635524991], [0.0, 0.0], [0.1668779781588651, 0.3357641205015076], [0.0, 0.0], [0.7216600373097123, 1.2499518504124731], [0.0, 0.0], [0.6569991604215741, -0.7538913072886215], [0.0, 0.0], [0.0, 0.5739376847918121], [0.0, 0.0], [0.0, 0.39823995480093866], [0.0, 0.0], [0.5805538498586218, -0.12586118712072197], [0.0, 0.0], [-0.73573415750974, -1.2743289416707528], [0.0, 0.0], [0.918626552422506, -1.3841014439091788], [0.0, 0.0], [-0.2646214997533292, -0.08479692115692744], [0.0, 0.0], [-0.33623320196054973, -0.1941243296624132], [0.0, 0.0], [0.0, 1.7412029148848085], [0.0, 0.0], [-0.03616972540698188, 0.3731990824942166], [0.0, 0.0], [-0.28598634827425995, -0.16511429516070206], [0.0, 0.0], [-1.0608739654304526, 0.6124958695175375], [0.0, 0.0], [0.20746176985318152, 1.3621339605341405], [0.0, 0.0], [-0.46309685764400493, -0.8021072862649082], [0.0, 0.0], [0.0488897535309598, 0.0282265123617141], [0.0, 0.0], [0.04708331321056673, -0.04274070301108037], [0.0, 0.0], [0.0, -0.6604247331232597], [0.0, 0.0], [-0.4262201073131637, 0.7382348810738587], [0.0, 0.0], [1.5120638249072653, -0.6879495179545835], [0.0, 0.0], [-0.12863928615426676, -0.25882658247699186], [0.0, 0.0], [0.4297070978947292, 0.7442745259266443], [0.0, 0.0], [1.4409008891689874, -0.31238014609372816], [0.0, 0.0], [0.0, -0.1399208296179876], [0.0, 0.0], [0.5224260334335898, 0.0], [0.0, 0.0], [0.26787110426084737, 1.2355961706872476], [0.0, 0.0], [-0.3214552052936315, 0.18559224930868454], [0.0, 0.0], [0.28123272017664885, 0.017556595354892658], [0.0, 0.0], [-0.5450779053761703, 1.2654403934843255], [0.0, 0.0], [-0.05765531261270183, -0.03328731025715542], [0.0, 0.0], [0.47050205076179286, 0.0], [0.0, 0.0], [-0.6553940515178648, -0.7219844604792317], [0.0, 0.0], [-0.31143306224771566, 0.5394178869698044], [0.0, 0.0], [-0.7088363854043629, 0.40924687792461023], [0.0, 0.0], [-0.5748307231747999, -0.8182723505620465], [0.0, 0.0], [-0.1697605015716995, -0.2940338138405598], [0.0, 0.0], [-0.17617396657272102, 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[0.0, 0.0], [-0.5411695932991688, 0.0], [0.0, 0.0], [-2.1781222229775783, -1.2575394517640108], [0.0, 0.0], [0.7210775579190505, 1.584876886786116], [0.0, 0.0], [-0.11658060807475394, -0.07737441684372509], [0.0, 0.0], [-0.9593595615236222, 0.5538865010953047], [0.0, 0.0], [-0.1209352973189717, -0.557832434672521], [0.0, 0.0], [-0.9143851168083008, 0.0], [0.0, 0.0], [0.0, -1.6137689740895456], [0.0, 0.0], [0.653633373612279, -0.14170446439137], [0.0, 0.0], [0.4885480289711061, 0.8461900081155876], [0.0, 0.0], [0.28889486855721097, -0.43528004242150375], [0.0, 0.0], [0.12162908723228534, 0.35467191790383223], [0.0, 0.0], [0.13738069852965498, -0.2379503498326654], [0.0, 0.0], [0.0, -1.5923997726644852], [0.0, 0.0], [0.7609760692228356, -0.6907893679388128], [0.0, 0.0], [-0.14295438927616444, -0.0825347551304321], [0.0, 0.0], [0.2085588391846308, 0.36123450583536737], [0.0, 0.0], [1.177615397542226, 0.46008129823584487], [0.0, 0.0], [1.47345607992544, -0.8507002643840434], [0.0, 0.0], 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[0.7529309666009499, 1.1539255920224651], [0.0, 0.0], [0.5178019082283033, 0.8968592133075384], [0.0, 0.0], [-1.7361843652760254, -1.0023865106549328], [0.0, 0.0], [-0.08731033765987078, -0.09618138413620177], [0.0, 0.0], [0.0, -1.6024869223823435], [0.0, 0.0], [0.02251349917777278, -0.0389945244320626], [0.0, 0.0], [-0.0679697528884389, 0.21210979952816958], [0.0, 0.0], [-0.05961729275817754, 0.02963036450687454], [0.0, 0.0], [-0.4613924720153023, -0.799155203760305], [0.0, 0.0], [-0.7536933564569984, -0.5383132198558671], [0.0, 0.0], [0.0, 0.17044497279601958], [0.0, 0.0], [-0.5973244907499896, 0.0], [0.0, 0.0], [0.07959438480387619, -0.01725566674305749], [0.0, 0.0], [-1.345704794270021, 0.7769430252215666], [0.0, 0.0], [0.2601815748295879, -0.39201750967303517], [0.0, 0.0], [0.4554562292931442, -1.4213194161201206], [0.0, 0.0], [-1.4736856457945422, -0.8508328043003663], [0.0, 0.0], [0.5517237122899976, 0.0], [0.0, 0.0], [0.056189743388246845, 0.005445800068581784], [0.0, 0.0], [-0.25451019619227466, 0.4408245908493427], [0.0, 0.0], [1.3961377888374884, -0.8060605282111328], [0.0, 0.0], [-0.9639745585448809, 0.14681953009286847], [0.0, 0.0], [0.39109687230923684, 0.6773996535208757], [0.0, 0.0], [0.13544639528478986, -0.23460003833531365], [0.0, 0.0], [0.9735411476754874, -0.8837490445027986], [0.0, 0.0], [0.09466928106503392, 0.0], [0.0, 0.0], [0.4401356015528545, -0.7623372241094353], [0.0, 0.0], [0.025156110603377406, -0.05840185079324409], [0.0, 0.0]], 'angles': [None, None, -0.4542910216481262, None, -0.4466816626981116, -0.09399770495706931, -0.39358544097634457, -0.06083512348329252, -0.2832794735608807, -0.20200357686140705, -0.18885110208830655, -0.32827220027832105, -0.11807691390239854, 0.10891361118638829, -0.1643871931073635, 0.21162476629204954, -0.20568395978241563, -0.149737143768833, -0.30333528582991315, 0.060073661668099375, -0.2697621856617239, 0.04497696335584426, 0.04632381046200741, -0.45175197803272105, 0.16813502256298488, -0.19306631713596545, -0.4382505283304431, -0.15996423144894703, -0.16217368094273893, -0.4464398172785682, -0.20793874878669655, -0.3630435104812771, -0.17196548549868856, -0.2122043880062004, -0.11048304002438954, -0.4448527303947194, -0.3754314621648122, -0.40148139322149784, -0.3529127318269783, -0.3220197771632498, 0.18138934564697443, -0.3559099924116892, -0.3359339896104154, -0.4068163060294703, -0.3494559976115945, -0.17213538021157773, -0.4441111885105186, -0.423835404822682, -0.14136752194676358, -0.09115292315108985, -0.34539580844280604, 0.12311768796171992, -0.1465780780120779, -0.41776762996665867, -0.016547201333630687, 0.025991802177033268, -0.17050315545909578, -0.3055550839357299, -0.0768759348234296, 0.1565760403429659, -0.3994913879241022, -0.45393752468408965, -0.20598082089264727, -0.3329778685063475, -0.3858809460818174, -0.09367771129897356, -0.21915759513712704, -0.373079251831846, -0.4207164812115629, -0.31203104075470767, -0.34890517128020393, 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-0.3286176822785867, -0.4576237886713069, -0.39504324014195585, -0.34413185175466854], 'char_orbit_index': 35, 'conrey_index': 17, 'dual_conrey_index': 593, 'dual_embedding_index': 22, 'dual_embedding_m': 46, 'embedding_index': 22, 'embedding_m': 22, 'hecke_orbit': 3, 'hecke_orbit_code': 9009535750505120, 'label': '672.2.bi.c.17.22', 'level': 672, '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': 2688, 'analytic_conductor': 5.3659470158300415, 'char_conductor': 168, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 35, 'char_orbit_label': 'bi', 'char_order': 6, 'char_parity': 1, 'char_values': [672, 6, [127, 421, 449, 577], [6, 3, 3, 1]], 'conrey_index': 17, 'cusp_dim': 224, 'dim': 56, 'eis_dim': 64, 'eis_new_dim': 16, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 2336495764128, 'hecke_orbit_dims': [4, 4, 48], 'label': '672.2.bi', 'level': 672, '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': 288, 'mf_new_dim': 72, 'num_forms': 3, 'prim_orbit_index': 27, 'relative_dim': 28, 'sturm_bound': 256, 'trace_bound': 3, 'trace_display': [0, 0, 0, 8], 'traces': [56, 0, 0, 0, 0, 0, 8, 0, -2, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 12, 0, -6, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 30, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 36, 0, 6, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -60, 0, -56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -112, 0, 12, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, 0, 0, -114, 0, 0, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, -48, 0, -14, 0, 0, 0, 0, 0, -172, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, 12, 0, 18, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 0, -84, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 0, 0, -66, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 8, 0, 28, 0, 0, 0, 0, 0, -102, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 156, 0, -20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 344, 0, 108, 0, 0, 0, 0, 0, -22, 0, 0, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 234, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 32, 0, 74, 0, 0, 0, 0, 0, 368, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 108, 0, -36, 0, 0, 0, 0, 0, 82, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, 92, 0, 0, 0, 0, 0, 0, 0, 0, 0, 132, 0, 0, 0, 0, 0, 8, 0, -32, 0, 0, 0, 0, 0, 138, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -348, 0, 142, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 44, 0, 0, 0, 0, 0, -288, 0, -114, 0, 0, 0, 0, 0, 14, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 0, -92, 0, 0, 0, 0, 0, 0, 0, -318, 0, 0, 0, 0, 0, 0, 0, 0, 0, -104, 0, 0, 0, 0, 0, -180, 0, -56, 0, 0, 0, 0, 0, -388, 0, 0, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, 0, 0, 0, -276, 0, -78, 0, 0, 0, 0, 0, -76, 0, 0, 0, 0, 0, 0, 0, 0, 0, 212, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, -166, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, -164, 0, -172, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 276, 0, -60, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 60, 0, 0, 0, 0, 0, 528, 0, -108, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 0, 0, -60, 0, 0, 0, 0, 0, 116, 0, 0, 0, 0, 0, 0, 0, 360, 0, 0, 0, 0, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 24, 0, -38, 0, 0, 0, 0, 0, 524, 0, 0, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, 180, 0, 6, 0, 0, 0, 0, 0, 54, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, -56, 0, 0, 0, 0, 0, 236, 0, 0, 0, 0, 0, 0, 0, 0, 0, -276, 0, 0, 0, 0, 0, 4, 0, 100, 0, 0, 0, 0, 0, 174, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -216, 0, -204, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -152, 0, 0, 0, 0, 0, -840, 0, 42, 0, 0, 0, 0, 0, 38, 0, 0, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 0, 0, -84, 0, 0, 0, 0, 0, 0, 0, -354, 0, 0, 0, 0, 0, 0, 0, 0, 0, -120, 0, 0, 0, 0, 0, -152, 0, 82, 0, 0, 0, 0, 0, -692, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28, 0, 0, 0, 0, 0, -72, 0, 288, 0, 0, 0, 0, 0, -136, 0, 0, 0, 0, 0, 0, 0, 0, 0, -304, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, -180, 0, 0, 0, 0, 0, 0, 0, 0, 0, 240, 0, 0, 0, 0, 0, 4, 0, 208, 0, 0, 0, 0, 0, -354, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 768, 0, 220, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -40, 0, 0, 0, 0, 0, 608, 0, 366, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 124, 0, 0, 0, 0, 0, 0, 0, 492, 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: 41963113
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 17, 'source_dim': 48, 'source_embedding_index': 22, 'source_hecke_orbit_code': 9009535750505120, 'source_is_minimal': False, 'source_label': '672.2.bi.c.17.22', 'source_level': 672, 'target_conrey_index': 17, 'target_dim': 48, 'target_embedding_index': 22, 'target_hecke_orbit_code': 9009535750505120, 'target_is_minimal': False, 'target_label': '672.2.bi.c.17.22', 'target_level': 672, 'twist_class_label': '168.2.ba.c.5.5', 'twist_class_level': 168, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 41963114
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 17, 'source_dim': 48, 'source_embedding_index': 22, 'source_hecke_orbit_code': 9009535750505120, 'source_is_minimal': False, 'source_label': '672.2.bi.c.17.22', 'source_level': 672, 'target_conrey_index': 17, 'target_dim': 48, 'target_embedding_index': 10, 'target_hecke_orbit_code': 9009535750505120, 'target_is_minimal': False, 'target_label': '672.2.bi.c.17.10', 'target_level': 672, 'twist_class_label': '168.2.ba.c.5.5', 'twist_class_level': 168, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 41963115
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 17, 'source_dim': 48, 'source_embedding_index': 22, 'source_hecke_orbit_code': 9009535750505120, 'source_is_minimal': False, 'source_label': '672.2.bi.c.17.22', 'source_level': 672, 'target_conrey_index': 101, 'target_dim': 48, 'target_embedding_index': 20, 'target_hecke_orbit_code': 9008985994690728, 'target_is_minimal': True, 'target_label': '168.2.ba.c.101.20', 'target_level': 168, 'twist_class_label': '168.2.ba.c.5.5', 'twist_class_level': 168, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 41963116
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 17, 'source_dim': 48, 'source_embedding_index': 22, 'source_hecke_orbit_code': 9009535750505120, 'source_is_minimal': False, 'source_label': '672.2.bi.c.17.22', 'source_level': 672, 'target_conrey_index': 593, 'target_dim': 48, 'target_embedding_index': 15, 'target_hecke_orbit_code': 9009535750505120, 'target_is_minimal': False, 'target_label': '672.2.bi.c.593.15', 'target_level': 672, 'twist_class_label': '168.2.ba.c.5.5', 'twist_class_level': 168, 'twisting_char_label': '7.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 41963117
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 17, 'source_dim': 48, 'source_embedding_index': 22, 'source_hecke_orbit_code': 9009535750505120, 'source_is_minimal': False, 'source_label': '672.2.bi.c.17.22', 'source_level': 672, 'target_conrey_index': 101, 'target_dim': 48, 'target_embedding_index': 13, 'target_hecke_orbit_code': 9008985994690728, 'target_is_minimal': True, 'target_label': '168.2.ba.c.101.13', 'target_level': 168, 'twist_class_label': '168.2.ba.c.5.5', 'twist_class_level': 168, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 41963118
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 17, 'source_dim': 48, 'source_embedding_index': 22, 'source_hecke_orbit_code': 9009535750505120, 'source_is_minimal': False, 'source_label': '672.2.bi.c.17.22', 'source_level': 672, 'target_conrey_index': 17, 'target_dim': 48, 'target_embedding_index': 3, 'target_hecke_orbit_code': 9009535750505120, 'target_is_minimal': False, 'target_label': '672.2.bi.c.17.3', 'target_level': 672, 'twist_class_label': '168.2.ba.c.5.5', 'twist_class_level': 168, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 41963119
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 17, 'source_dim': 48, 'source_embedding_index': 22, 'source_hecke_orbit_code': 9009535750505120, 'source_is_minimal': False, 'source_label': '672.2.bi.c.17.22', 'source_level': 672, 'target_conrey_index': 101, 'target_dim': 48, 'target_embedding_index': 5, 'target_hecke_orbit_code': 9008985994690728, 'target_is_minimal': True, 'target_label': '168.2.ba.c.101.5', 'target_level': 168, 'twist_class_label': '168.2.ba.c.5.5', 'twist_class_level': 168, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 41963120
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 17, 'source_dim': 48, 'source_embedding_index': 22, 'source_hecke_orbit_code': 9009535750505120, 'source_is_minimal': False, 'source_label': '672.2.bi.c.17.22', 'source_level': 672, 'target_conrey_index': 593, 'target_dim': 48, 'target_embedding_index': 3, 'target_hecke_orbit_code': 9009535750505120, 'target_is_minimal': False, 'target_label': '672.2.bi.c.593.3', 'target_level': 672, 'twist_class_label': '168.2.ba.c.5.5', 'twist_class_level': 168, 'twisting_char_label': '21.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 41963121
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 17, 'source_dim': 48, 'source_embedding_index': 22, 'source_hecke_orbit_code': 9009535750505120, 'source_is_minimal': False, 'source_label': '672.2.bi.c.17.22', 'source_level': 672, 'target_conrey_index': 17, 'target_dim': 48, 'target_embedding_index': 15, 'target_hecke_orbit_code': 9009535750505120, 'target_is_minimal': False, 'target_label': '672.2.bi.c.17.15', 'target_level': 672, 'twist_class_label': '168.2.ba.c.5.5', 'twist_class_level': 168, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 41963122
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 17, 'source_dim': 48, 'source_embedding_index': 22, 'source_hecke_orbit_code': 9009535750505120, 'source_is_minimal': False, 'source_label': '672.2.bi.c.17.22', 'source_level': 672, 'target_conrey_index': 101, 'target_dim': 48, 'target_embedding_index': 12, 'target_hecke_orbit_code': 9008985994690728, 'target_is_minimal': True, 'target_label': '168.2.ba.c.101.12', 'target_level': 168, 'twist_class_label': '168.2.ba.c.5.5', 'twist_class_level': 168, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 41963123
    {'conductor': 28, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 17, 'source_dim': 48, 'source_embedding_index': 22, 'source_hecke_orbit_code': 9009535750505120, 'source_is_minimal': False, 'source_label': '672.2.bi.c.17.22', 'source_level': 672, 'target_conrey_index': 5, 'target_dim': 48, 'target_embedding_index': 12, 'target_hecke_orbit_code': 9008985994690728, 'target_is_minimal': True, 'target_label': '168.2.ba.c.5.12', 'target_level': 168, 'twist_class_label': '168.2.ba.c.5.5', 'twist_class_level': 168, 'twisting_char_label': '28.19', 'twisting_conrey_index': 19, 'weight': 2}
  • id: 41963124
    {'conductor': 56, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 17, 'source_dim': 48, 'source_embedding_index': 22, 'source_hecke_orbit_code': 9009535750505120, 'source_is_minimal': False, 'source_label': '672.2.bi.c.17.22', 'source_level': 672, 'target_conrey_index': 593, 'target_dim': 48, 'target_embedding_index': 10, 'target_hecke_orbit_code': 9009535750505120, 'target_is_minimal': False, 'target_label': '672.2.bi.c.593.10', 'target_level': 672, 'twist_class_label': '168.2.ba.c.5.5', 'twist_class_level': 168, 'twisting_char_label': '56.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 41963125
    {'conductor': 56, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 17, 'source_dim': 48, 'source_embedding_index': 22, 'source_hecke_orbit_code': 9009535750505120, 'source_is_minimal': False, 'source_label': '672.2.bi.c.17.22', 'source_level': 672, 'target_conrey_index': 5, 'target_dim': 48, 'target_embedding_index': 5, 'target_hecke_orbit_code': 9008985994690728, 'target_is_minimal': True, 'target_label': '168.2.ba.c.5.5', 'target_level': 168, 'twist_class_label': '168.2.ba.c.5.5', 'twist_class_level': 168, 'twisting_char_label': '56.19', 'twisting_conrey_index': 19, 'weight': 2}
  • id: 41963126
    {'conductor': 84, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 17, 'source_dim': 48, 'source_embedding_index': 22, 'source_hecke_orbit_code': 9009535750505120, 'source_is_minimal': False, 'source_label': '672.2.bi.c.17.22', 'source_level': 672, 'target_conrey_index': 5, 'target_dim': 48, 'target_embedding_index': 13, 'target_hecke_orbit_code': 9008985994690728, 'target_is_minimal': True, 'target_label': '168.2.ba.c.5.13', 'target_level': 168, 'twist_class_label': '168.2.ba.c.5.5', 'twist_class_level': 168, 'twisting_char_label': '84.47', 'twisting_conrey_index': 47, 'weight': 2}
  • id: 41963127
    {'conductor': 168, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 17, 'source_dim': 48, 'source_embedding_index': 22, 'source_hecke_orbit_code': 9009535750505120, 'source_is_minimal': False, 'source_label': '672.2.bi.c.17.22', 'source_level': 672, 'target_conrey_index': 593, 'target_dim': 48, 'target_embedding_index': 22, 'target_hecke_orbit_code': 9009535750505120, 'target_is_minimal': False, 'target_label': '672.2.bi.c.593.22', 'target_level': 672, 'twist_class_label': '168.2.ba.c.5.5', 'twist_class_level': 168, 'twisting_char_label': '168.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 41963128
    {'conductor': 168, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 17, 'source_dim': 48, 'source_embedding_index': 22, 'source_hecke_orbit_code': 9009535750505120, 'source_is_minimal': False, 'source_label': '672.2.bi.c.17.22', 'source_level': 672, 'target_conrey_index': 5, 'target_dim': 48, 'target_embedding_index': 20, 'target_hecke_orbit_code': 9008985994690728, 'target_is_minimal': True, 'target_label': '168.2.ba.c.5.20', 'target_level': 168, 'twist_class_label': '168.2.ba.c.5.5', 'twist_class_level': 168, 'twisting_char_label': '168.131', 'twisting_conrey_index': 131, 'weight': 2}
• hecke_orbit_code 9009535750505120 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': 35, 'hecke_orbit': 3, 'label': '672.2.bi.c', 'level': 672, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 32174899
    {'hecke_orbit_code': 9009535750505120, 'n': 1, 'trace_an': 48}
  • id: 32174900
    {'hecke_orbit_code': 9009535750505120, 'n': 2, 'trace_an': 0}
  • id: 32174901
    {'hecke_orbit_code': 9009535750505120, 'n': 3, 'trace_an': 0}
  • id: 32174902
    {'hecke_orbit_code': 9009535750505120, 'n': 4, 'trace_an': 0}
  • id: 32174903
    {'hecke_orbit_code': 9009535750505120, 'n': 5, 'trace_an': 0}
  • id: 32174904
    {'hecke_orbit_code': 9009535750505120, 'n': 6, 'trace_an': 0}
  • id: 32174905
    {'hecke_orbit_code': 9009535750505120, 'n': 7, 'trace_an': 4}
  • id: 32174906
    {'hecke_orbit_code': 9009535750505120, 'n': 8, 'trace_an': 0}
  • id: 32174907
    {'hecke_orbit_code': 9009535750505120, 'n': 9, 'trace_an': -14}
  • id: 32174908
    {'hecke_orbit_code': 9009535750505120, 'n': 10, 'trace_an': 0}
  • id: 32174909
    {'hecke_orbit_code': 9009535750505120, 'n': 11, 'trace_an': 0}
  • id: 32174910
    {'hecke_orbit_code': 9009535750505120, 'n': 12, 'trace_an': 0}
  • id: 32174911
    {'hecke_orbit_code': 9009535750505120, 'n': 13, 'trace_an': 0}
  • id: 32174912
    {'hecke_orbit_code': 9009535750505120, 'n': 14, 'trace_an': 0}
  • id: 32174913
    {'hecke_orbit_code': 9009535750505120, 'n': 15, 'trace_an': -4}
  • id: 32174914
    {'hecke_orbit_code': 9009535750505120, 'n': 16, 'trace_an': 0}
  • id: 32174915
    {'hecke_orbit_code': 9009535750505120, 'n': 17, 'trace_an': 0}
  • id: 32174916
    {'hecke_orbit_code': 9009535750505120, 'n': 18, 'trace_an': 0}
  • id: 32174917
    {'hecke_orbit_code': 9009535750505120, 'n': 19, 'trace_an': 0}
  • id: 32174918
    {'hecke_orbit_code': 9009535750505120, 'n': 20, 'trace_an': 0}
  • id: 32174919
    {'hecke_orbit_code': 9009535750505120, 'n': 21, 'trace_an': 0}
  • id: 32174920
    {'hecke_orbit_code': 9009535750505120, 'n': 22, 'trace_an': 0}
  • id: 32174921
    {'hecke_orbit_code': 9009535750505120, 'n': 23, 'trace_an': 0}
  • id: 32174922
    {'hecke_orbit_code': 9009535750505120, 'n': 24, 'trace_an': 0}
  • id: 32174923
    {'hecke_orbit_code': 9009535750505120, 'n': 25, 'trace_an': -8}
  • id: 32174924
    {'hecke_orbit_code': 9009535750505120, 'n': 26, 'trace_an': 0}
  • id: 32174925
    {'hecke_orbit_code': 9009535750505120, 'n': 27, 'trace_an': 0}
  • id: 32174926
    {'hecke_orbit_code': 9009535750505120, 'n': 28, 'trace_an': 0}
  • id: 32174927
    {'hecke_orbit_code': 9009535750505120, 'n': 29, 'trace_an': 0}
  • id: 32174928
    {'hecke_orbit_code': 9009535750505120, 'n': 30, 'trace_an': 0}
  • id: 32174929
    {'hecke_orbit_code': 9009535750505120, 'n': 31, 'trace_an': -48}
  • id: 32174930
    {'hecke_orbit_code': 9009535750505120, 'n': 32, 'trace_an': 0}
  • id: 32174931
    {'hecke_orbit_code': 9009535750505120, 'n': 33, 'trace_an': -42}
  • id: 32174932
    {'hecke_orbit_code': 9009535750505120, 'n': 34, 'trace_an': 0}
  • id: 32174933
    {'hecke_orbit_code': 9009535750505120, 'n': 35, 'trace_an': 0}
  • id: 32174934
    {'hecke_orbit_code': 9009535750505120, 'n': 36, 'trace_an': 0}
  • id: 32174935
    {'hecke_orbit_code': 9009535750505120, 'n': 37, 'trace_an': 0}
  • id: 32174936
    {'hecke_orbit_code': 9009535750505120, 'n': 38, 'trace_an': 0}
  • id: 32174937
    {'hecke_orbit_code': 9009535750505120, 'n': 39, 'trace_an': 8}
  • id: 32174938
    {'hecke_orbit_code': 9009535750505120, 'n': 40, 'trace_an': 0}
  • id: 32174939
    {'hecke_orbit_code': 9009535750505120, 'n': 41, 'trace_an': 0}
  • id: 32174940
    {'hecke_orbit_code': 9009535750505120, 'n': 42, 'trace_an': 0}
  • id: 32174941
    {'hecke_orbit_code': 9009535750505120, 'n': 43, 'trace_an': 0}
  • id: 32174942
    {'hecke_orbit_code': 9009535750505120, 'n': 44, 'trace_an': 0}
  • id: 32174943
    {'hecke_orbit_code': 9009535750505120, 'n': 45, 'trace_an': 0}
  • id: 32174944
    {'hecke_orbit_code': 9009535750505120, 'n': 46, 'trace_an': 0}
  • id: 32174945
    {'hecke_orbit_code': 9009535750505120, 'n': 47, 'trace_an': 0}
  • id: 32174946
    {'hecke_orbit_code': 9009535750505120, 'n': 48, 'trace_an': 0}
  • id: 32174947
    {'hecke_orbit_code': 9009535750505120, 'n': 49, 'trace_an': -36}
  • id: 32174948
    {'hecke_orbit_code': 9009535750505120, 'n': 50, 'trace_an': 0}
  • id: 32174949
    {'hecke_orbit_code': 9009535750505120, 'n': 51, 'trace_an': 0}
  • id: 32174950
    {'hecke_orbit_code': 9009535750505120, 'n': 52, 'trace_an': 0}
  • id: 32174951
    {'hecke_orbit_code': 9009535750505120, 'n': 53, 'trace_an': 0}
  • id: 32174952
    {'hecke_orbit_code': 9009535750505120, 'n': 54, 'trace_an': 0}
  • id: 32174953
    {'hecke_orbit_code': 9009535750505120, 'n': 55, 'trace_an': 0}
  • id: 32174954
    {'hecke_orbit_code': 9009535750505120, 'n': 56, 'trace_an': 0}
  • id: 32174955
    {'hecke_orbit_code': 9009535750505120, 'n': 57, 'trace_an': 4}
  • id: 32174956
    {'hecke_orbit_code': 9009535750505120, 'n': 58, 'trace_an': 0}
  • id: 32174957
    {'hecke_orbit_code': 9009535750505120, 'n': 59, 'trace_an': 0}
  • id: 32174958
    {'hecke_orbit_code': 9009535750505120, 'n': 60, 'trace_an': 0}
  • id: 32174959
    {'hecke_orbit_code': 9009535750505120, 'n': 61, 'trace_an': 0}
  • id: 32174960
    {'hecke_orbit_code': 9009535750505120, 'n': 62, 'trace_an': 0}
  • id: 32174961
    {'hecke_orbit_code': 9009535750505120, 'n': 63, 'trace_an': 6}
  • id: 32174962
    {'hecke_orbit_code': 9009535750505120, 'n': 64, 'trace_an': 0}
  • id: 32174963
    {'hecke_orbit_code': 9009535750505120, 'n': 65, 'trace_an': 0}
  • id: 32174964
    {'hecke_orbit_code': 9009535750505120, 'n': 66, 'trace_an': 0}
  • id: 32174965
    {'hecke_orbit_code': 9009535750505120, 'n': 67, 'trace_an': 0}
  • id: 32174966
    {'hecke_orbit_code': 9009535750505120, 'n': 68, 'trace_an': 0}
  • id: 32174967
    {'hecke_orbit_code': 9009535750505120, 'n': 69, 'trace_an': 0}
  • id: 32174968
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  • id: 32175021
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  • id: 32175022
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  • id: 32175042
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  • id: 32175063
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  • id: 32175068
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  • id: 32175070
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  • id: 32175071
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  • id: 32175072
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  • id: 32175073
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  • id: 32175076
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  • id: 32175077
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  • id: 32175078
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  • id: 32175080
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  • id: 32175084
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  • id: 32175090
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  • id: 32175091
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  • id: 32175092
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  • id: 32175101
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  • id: 32175111
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  • id: 32175112
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  • id: 32175113
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  • id: 32175119
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  • id: 32175120
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  • id: 32175121
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