Embedded newform data - 390.2.p.g.161.1

Formats: - HTML - YAML - JSON - 2025-11-09T22:48:55.848559

• 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': 1560, 'analytic_conductor': 3.114165678829935, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 39, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 16, 'char_orbit_label': 'p', 'char_order': 4, 'char_parity': 1, 'char_values': [390, 4, [131, 157, 301], [2, 4, 3]], 'cm_discs': [], 'conrey_index': 161, 'dim': 8, 'field_disc': 40960000, 'field_disc_factorization': [[2, 16], [5, 4]], 'field_poly': [1, 0, 0, 0, 7, 0, 0, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[7, [0, 1]], [11, [16, 0, 0, 0, 1]], [17, [144, 0, -56, 0, 1]]], 'hecke_orbit': 7, 'hecke_orbit_code': 27022628589928838, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 4, 'hecke_ring_index_factorization': [[2, 2]], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0], [1, 1, 13, 4, -1, 4, 0], [1, 1, 39, 6, 1, 4, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '390.2.p.g', 'level': 390, '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': True, 'level_primes': [2, 3, 5, 13], 'level_radical': 390, 'minimal_twist': '390.2.p.g', 'nf_label': '8.0.40960000.1', 'prim_orbit_index': 6, 'qexp_display': 'q-\\beta _{7}q^{2}-\\beta _{6}q^{3}-\\beta _{2}q^{4}-\\beta _{7}q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '1.2.3.c4', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '390.2.p', 'trace_display': [0, 0, 0, 0], 'trace_hash': 860580824779589785, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '7.842', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '436.759', 'prec': 24}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '36159.943', 'prec': 30}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.638', 'prec': 17}, 'traces': [8, 0, 0, 0, 0, 4, 0, 0, 16, 0, 0, 0, 16, 0, 4, -8, 0, 0, -16, 0, 0, -16, 0, 4, 0, 0, 0, 0, 0, 0, -24, 0, 8, 16, 0, 0, -32, 0, 20, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 28, -16, 0, 40, 0, 0, 4, -16, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, -16, 0, 0, -16, 0, 16, -80, 0, -8, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, -4, 16, 0, 0, -8, 0, -40, 0, 0, 0, 8, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 32, 16, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, -16, 0, -8, 0, 0, 28, -16, 0, -40, 0, 0, -16, 0, 0, -16, 0, 0, 0, 32, 0, 4, 56, 0, 0, 0, 0, 20, 160, 0, -8, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -32, -32, 0, 40, 0, 0, -8, 32, 0, 0, 0, 0, -160, 0, 0, 0, -32, 0, 0, -16, 0, 0, 48, 0, 16, 56, 0, -32, 0, 0, -40, 64, 0, 16, 0, 0, 0, -16, 0, 0, 128, 0, 16, 8, 0, 28, 0, 0, 40, 0, 0, -32, 32, 0, 0, -16, 0, 40, 16, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, -4, -40, 0, 0, 0, 0, 0, -64, 0, -32, -8, 0, 0, 0, 0, -40, 8, 0, 16, 0, 0, -80, -48, 0, 0, 8, 0, -16, 32, 0, 0, -8, 0, 0, 112, 0, 0, 0, 0, -48, 0, 0, -80, 0, 0, 0, -32, 0, 0, 88, 0, 40, 16, 0, -28, 16, 0, 56, 0, 0, 0, 0, 0, 0, 16, 0, 32, 32, 0, 0, -24, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, -16, 0, -40, 0, 0, -8, 0, 0, -64, -32, 0, 0, 0, 0, 16, -16, 0, 0, 0, 0, -40, -24, 0, 0, -32, 0, 20, 16, 0, -80, 0, 0, 0, -48, 0, -16, 0, 0, 0, 0, 0, -8, 48, 0, 40, 32, 0, 0, 96, 0, 4, 0, 0, 0, -80, 0, 0, -64, 0, -4, 0, 0, 0, 16, 0, 20, 160, 0, 48, 0, 0, 0, -128, 0, 0, 0, 0, 0, -96, 0, 0, 0, 0, 40, 136, 0, -56, 48, 0, 0, 0, 0, -80, 32, 0, 0, -128, 0, 80, 8, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 40, -64, 0, -16, 0, 0, 0, -80, 0, 0, 32, 0, 40, 0, 0, 0, 0, 0, 80, 0, 0, -16, -48, 0, 0, 0, 0, 0, 16, 0, 0, -48, 0, -32, 0, 0, -40, 0, 0, -40, -16, 0, 0, 0, 0, 0, 0, 0, 0, -56, 0, 76, -144, 0, -80, 56, 0, 0, 0, 0, -32, 24, 0, 0, -64, 0, 16, 32, 0, 0, 64, 0, 160, 16, 0, 16, 0, 0, 40, 16, 0, 40, 0, 0, 0, -16, 0, 0, -160, 0, 0, 32, 0, -8, -24, 0, 80, 0, 0, 40, 8, 0, 0, 0, 0, 28, 112, 0, 0, -16, 0, 0, 0, 0, -32, 0, 0, 40, 0, 0, -32, 0, 0, 0, -104, 0, 80, 224, 0, 16, -16, 0, 0, -32, 0, 40, 0, 0, 64, 0, 0, 0, -144, 0, 120, 0, 0, 0, 16, 0, 0, 32, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, -80, 0, -4, -96, 0, 64, -56, 0, 40, 80, 0, 0, 0, 0, -80, -128, 0, 0, 0, 0, -24, 160, 0, 0, -32, 0, -20, -8, 0, -32, 0, 0, 0, 56, 0, 160, 0, 0, 0, 112, 0, 120, 8, 0, 80, 160, 0, 16, -224, 0, 0, 0, 0, 0, 32, 0, 0, -48, 0, -32, 0, 0, 0, -112, 0, 72, 64, 0, 0, 0, 0, -160, 32, 0, 0, 0, 0, 0, -24, 0, 120, 0, 0, 72, 48, 0, -32, 112, 0, 200, 0, 0, 0, -160, 0, 0, -8, 0, 40, -80, 0, 0, 0, 0, 112, 128, 0, -80, 0, 0, 8, -48, 0, -160, 0, 0, 0, -32, 0, 32, -128, 0, 0, 0, 0, -160, -16, 0, 28, 0, 0, -176, 16, 0, 0, -192, 0, -28, 0, 0, 0, -80, 0, 160, 0, 0, -24, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 80, 16, 0, -8, 0, 0, 32, 0, 0, 0, 152, 0, 0, -48, 0, -40, -24, 0, 0, -144, 0, 0, -64, 0, 0, 0, 0, -80, 0, 0, -32, 0, 0, 0, -192, 0, 0, -16, 0, 0, 224, 0, -40, 96, 0, -40, 0, 0, 0, -64, 0, 0, -16, 0, 80, 64, 0, 0, -144, 0, 0, 0, 0, -80, 0, 0, -8, 0, 0, -80, 0, 0, 0, 16, 0, 0, -32, 0, 0, 128, 0, 0, 72, 0, -112, 0, 0, 64, 0, 0, 0, -16, 0, 16, 64, 0, 0, 8, 0, -40, 64, 0, 0, 0, 0, -28, -24, 0, -320, 0, 0, 0, 128, 0, 32, -160, 0, -40, -160, 0, -16, 16, 0, 0, 0, 0, -80, 8, 0, 0, 0, 0, 0, 32, 0, 0, -48, 0, 40, 32, 0, -16, 0, 0, 0, -16, 0, 56, 0, 0, 0, 0, 0, -40, 128, 0, -8, -16, 0, -40, -32, 0, -40, 0, 0, 0, 32, 0, 0, 0, 0, 0, 112, 0, 0, 40, 0, 40, -16, 0, 160, 0, 0, 80, -80, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 16, -64, 0, 80, 128, 0, -4, 0, 0, -160, 40, 0, 0, 48, 0, 112, 16, 0, 0, 0, 0, 20, 16, 0, -32, 0, 0, -128, 160, 0, -40, 0, 0, 0, 80, 0, 0, 240, 0, 120, 0, 0, -32, 32, 0, 0, 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], [-0.5, -0.5], [-0.9128709291752769, 0.408248290463863], [0.0, 0.5], [-0.31622776601683794, -0.31622776601683794], [0.66055960981957, 0.25231131935570694], [0.0, 0.0], [0.25, -0.25], [0.6666666666666666, -0.7453559924999299], [0.0, 0.31622776601683794], [0.4264014327112209, -0.4264014327112209], [-0.2041241452319315, -0.45643546458763845], [0.11617118657171452, 0.9932292058787437], [0.0, 0.0], [0.41777457946839347, 0.15957568972123232], [-0.25, 0.0], [-1.7706466296633163, 0.0], [-0.7060113295832983, 0.03934466291663161], [-1.1843077178511352, 1.1843077178511352], [0.15811388300841897, -0.15811388300841897], [0.0, 0.0], [-0.4264014327112209, 0.0], [-0.9325048082403138, 0.0], [-0.12615565967785347, 0.330279804909785], [0.0, 0.2], [0.4385290096535146, -0.5547001962252291], [-0.3042903097250923, 0.9525793444156804], [0.0, 0.0], [0.0, -0.8304547985373997], [-0.12909944487358058, -0.28867513459481287], [-0.5388159060803247, 0.5388159060803247], [0.125, 0.125], [-0.21517181612506364, 0.5633271280364593], [0.8853233148316582, 0.8853233148316582], [0.0, 0.0], [0.37267799624996495, 0.3333333333333333], [-0.6575959492214292, -0.6575959492214292], [1.1843077178511352, 0.0], [-0.5115334243678928, -0.8592633797354902], [-0.15811388300841897, 0.0], [0.3492151478847891, 0.3492151478847891], [0.0, 0.0], [0.0, 1.0922371035008307], [0.21320071635561044, 0.21320071635561044], [-0.4465207710734078, 0.024883749717623888], [0.4662524041201569, 0.4662524041201569], [-1.0648965715569596, 1.0648965715569596], [0.22821773229381923, -0.10206207261596575], [0.0, -1.0], [0.1, -0.1], [1.6163718340618238, -0.7228634595756496], [-0.4966146029393719, 0.05808559328585726], [0.0, 0.19425717247145283], [0.6284348270703863, -0.32414451734529404], [-0.26967994498529685, 0.0], [0.0, 0.0], [0.5976284856283325, -1.5646116880201024], [-0.41522739926869984, 0.41522739926869984], [-0.7663374333192466, 0.7663374333192466], [-0.07978784486061616, 0.20888728973419673], [1.36347890049204, 0.0], [0.5388159060803247, 0.0], [0.0, 0.0], [0.0, -0.125], [0.2773500981126146, -0.35082320772281167], [0.3892494720807615, -0.17407765595569785], [0.8750114820683488, -0.8750114820683488], [0.0, -0.8853233148316582], [0.8512565307587486, -0.3806934938134405], [0.0, 0.0], [0.46044479533273724, 0.46044479533273724], [-0.019672331458315807, -0.35300566479164913], [-0.6041988994910638, -0.6041988994910638], [0.0, 0.6575959492214292], [-0.08164965809277261, -0.18257418583505536], [-0.5921538589255676, -0.5921538589255676], [0.0, 0.0], [-0.1738649776837987, 0.6853984020516916], [-1.125087900926024, 0.0], [0.07905694150420949, 0.07905694150420949], [-0.1111111111111111, -0.9938079899999065], [0.0, -0.3492151478847891], [0.6209204205650662, 0.6209204205650662], [0.0, 0.0], [0.5599276281036738, 0.5599276281036738], [0.5461185517504153, -0.5461185517504153], [0.3390317518104052, 0.7580980435789034], [0.0, -0.21320071635561044], [-0.06278994402835597, 0.06278994402835597], [0.23570226039551584, 0.21081851067789195], [0.0, 0.0], [0.0, -0.4662524041201569], [0.27189870430593477, -0.7118400493699947], [1.0648965715569596, 0.0], [0.7490219677851282, 0.0], [-0.1651399024548925, -0.06307782983892674], [-0.11801141650724396, 0.11801141650724396], [-0.5, 0.5], [-0.03355324127438353, -0.6020884848893446], [-0.1, 0.0], [-0.6807619120784821, 0.0], [-1.1696176468187367, -0.4467541872430871], [0.0, -1.8375514725980875], [0.2773500981126146, 0.2192645048267573], [0.0, 0.0], [0.09712858623572641, -0.09712858623572641], [0.0, -0.7279582169293012], [-0.4762896722078402, -0.15214515486254615], [-0.4633697617692298, 0.4633697617692298], [0.13483997249264842, 0.13483997249264842], [0.8687626472732739, 0.33183780310205446], [0.0, 0.0], [0.0, -1.5281855278301095], [-1.0811200868242175, 0.48349160119588497], [0.29488391230979427, 0.29488391230979427], [0.41522739926869984, 0.0], [0.8177567982421445, 0.5755639138521077], [0.7663374333192466, 0.0], [0.0, 0.0], [0.14433756729740643, -0.06454972243679029], [0.0, 0.6363636363636364], [-0.68173945024602, -0.68173945024602], [-0.4613548436597194, -0.1762218694036189], [-0.26940795304016235, -0.26940795304016235], [0.06324555320336758, -0.06324555320336758], [0.0, 0.0], [0.0, 1.5061692979157184], [-0.0625, 0.0625], [-0.4459039302854156, -0.9970714995525164], [-0.31408665291771315, 0.03673655480509856], [0.0, 0.040102189306304936], [-0.2816635640182297, -0.10758590806253182], [0.0, 0.0], [-0.8750114820683488, 0.0], [0.3974570829032923, -0.20500699317341703], [-0.4426616574158291, 0.4426616574158291], [-1.2278512906126828, 1.2278512906126828], [-0.6159750122860945, -0.23528151847265405], [0.53644178078582, 0.0], [0.0, 0.0], [0.5373709178938109, -1.406855327611726], [0.0, -0.46044479533273724], [0.47304991679126607, 0.37397879600338285], [-0.16666666666666666, 0.18633899812498247], [-0.2626128657194451, 0.2626128657194451], [0.0, 0.6041988994910638], [0.408248290463863, 0.9128709291752769], 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-0.7352209950589875], [0.0, 0.0], [0.5193532906342723, -0.6569357234830779], [0.0, -1.018516350752998], [0.19039709652102016, -0.010610466530822264], [0.14935692328775313, 0.0], [-0.13470397652008118, 0.0], [0.2631321947011361, -0.6888890292619292], [0.0, 0.0], [0.044833583966222036, -0.044833583966222036], [0.1566652505276723, -0.41015495073746344], [-0.7746717740698303, 0.0], [0.4996921749084306, 0.0], [0.8265123932623107, -0.4263122431372013], [0.0, -0.03162277660168379]], 'angles': [None, None, None, -0.125, -0.32625444273946586, None, -0.4230314856171025, 0.282972034343617, -0.3271980712354978, -0.43185100635299434, -0.4372101731389977, -0.20197114107017347, -0.08528871855426527, 0.09194759647463648, 0.26069593184719264, 0.01548290419230208, -0.46614409402275775, -0.13061188941761254, -0.2688244441201853, -0.07221961608331738, -0.19525582198056185, -0.34508864467317596, -0.052656299868156196, -0.3820686750855579, -0.3882964122822095, -0.3052780157306366, -0.3145895718784407, -0.4407089755665139, -0.428128659002076, -0.36159347869122455, 0.1357174746987767, 0.0031914447042922034, 0.2923685394859343, -0.20678214763191866, -0.14905256044065057, -0.11881249087138354, -0.062335113781760064, -0.10445253075341794, -0.38933372419615825, -0.0908949986775405, -0.25273016346630206, -0.4743090600133137, 0.012119101201313914, -0.15339646509818083, -0.050603985851079086, 0.011291665289945756, -0.23160174243012707, -0.23046569478600193, -0.2268900284727447, -0.236647102500069, -0.22901756572684373, -0.18378464909026226, -0.06836128308967088, -0.3262200650404032, -0.24183720516796142, 0.005814655310497395, -0.47823374783048356, -0.17593797018296256, 0.015142782865825315, 0.2577878597086284, -0.43769319168577697, -0.3936384355771026, -0.07833097161648801, -0.3524938464709073, -0.3383519168281084, 0.0007531103417724975, -0.435101294203454, -0.342796899107973, 0.03239112118543348, -0.13004737205059816, -0.18110451144525386, -0.2164326652374181, -0.1690933530885294, -0.1857988346851112, -0.45433272801010594, -0.15350866162226012, -0.11291634864777872, -0.200286504433274, -0.4651270470175562, -0.31412028345742476, 0.2271007739788179, -0.4479394595302577, -0.1153608577762646, 0.1966181119338713, -0.48725963439437925, 0.03957018955763715, -0.4524187548261892, -0.3566030537819126, 0.001499112721676384, -0.08089908660081818, -0.39352535674230665, -0.37568579189914947, -0.4728410646197002, -0.36016565916021887, -0.43247633128482477, -0.40510004122897947, -0.1993655526729069, -0.4926666545818121, -0.3931458837264135, 0.05554994414673752, -0.2825043149703574, -0.31762794415326623, -0.2118158274185206, -0.24298299321499053, -0.4350236337734321, -0.4820348441993395, -0.12286792340076291, 0.30407984873576205, -0.3377185779596957, -0.3338353346936949, -0.32230183962494185, -0.4850331062173428, -0.03733909870414239, 0.03315095415646679, -0.06380774590425006, -0.37487585412819785, -0.19287196102574594, -0.06332395449989771, 0.017535531546522036, 0.027868527316863092, -0.17317190413493233, -0.43809680925354977, 0.014399154636923312, -0.3933100475138232, 0.33175541204521886, -0.1167581067364909, -0.19245691251057284, -0.24375813728348442, 0.014699995655754635, 0.29443640045149205, -0.07388500419696696, 0.0017644852158233445, 0.08533781801260985, -0.22733060587638548, -0.38116305632773845, -0.34911231301073353, -0.053972838056227206, -0.1634297360612271, -0.3443121732235689, 0.05520999919438163, -0.3452404378040933, 0.09027165038211718, 0.019539368901240355, -0.3321513116288072, -0.4609145509740439, -0.25685250791440495, -0.04167897244494183, -0.3555465329629929, -0.24545029960190623, -0.23089782492858374, -0.39094417737615744, -0.06860895658423619, -0.33147771073854054, -0.4767312549742201, -0.3584369418313412, -0.32414606382571837, -0.3302681770552543, -0.058209099512244074, -0.3235576205723838, -0.07863063004277905, -0.47426947481179416, -0.22755703117730086, -0.3761745853287996, 0.04755992822650752, -0.14362307463667115, -0.49162928762274233, -0.2381034786003008, -0.3133023104217644], 'char_orbit_index': 16, 'conrey_index': 161, 'dual_conrey_index': 281, 'dual_embedding_index': 1, 'dual_embedding_m': 5, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': -0.4370160244488211, 'embedding_root_real': 0.4370160244488211, 'hecke_orbit': 7, 'hecke_orbit_code': 27022628589928838, 'label': '390.2.p.g.161.1', 'level': 390, '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': 1560, 'analytic_conductor': 3.114165678829935, 'char_conductor': 39, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 16, 'char_orbit_label': 'p', 'char_order': 4, 'char_parity': 1, 'char_values': [390, 4, [131, 157, 301], [2, 4, 3]], 'conrey_index': 161, 'cusp_dim': 152, 'dim': 32, 'eis_dim': 32, 'eis_new_dim': 0, 'hecke_cutter_primes': [7, 11, 17], 'hecke_orbit_code': 1030825705862, 'hecke_orbit_dims': [4, 4, 4, 4, 4, 4, 8], 'label': '390.2.p', 'level': 390, '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': True, 'level_primes': [2, 3, 5, 13], 'level_radical': 390, 'mf_dim': 184, 'mf_new_dim': 32, 'num_forms': 7, 'prim_orbit_index': 6, 'relative_dim': 16, 'sturm_bound': 168, 'trace_bound': 7, 'trace_display': [0, 0, 0, 24], 'traces': [32, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, -8, -32, 0, -16, 24, 0, 8, 0, 0, 0, 0, 0, 48, -24, 0, 0, -16, 0, -8, -8, 0, 0, -40, 0, -8, 0, 0, -48, 0, 0, 16, 8, 0, 0, 0, 0, 0, -24, 0, 48, -16, 0, 48, 16, 0, -8, -16, 0, -8, 0, 0, -16, 72, 0, 0, 0, 0, -16, 72, 0, 0, 24, 0, 24, -80, 0, -64, 0, 0, -8, 48, 0, -64, 0, 0, 0, 40, 0, 8, 80, 0, 0, 8, 0, -48, -32, 0, -16, 0, 0, 0, -32, 0, 0, -88, 0, -16, -24, 0, 0, -32, 0, -32, -64, 0, 0, 0, 0, -8, -16, 0, 64, 0, 0, 0, -16, 0, 8, -144, 0, -8, 8, 0, -24, -96, 0, 64, 0, 0, 0, 8, 0, 0, 40, 0, 0, -16, 0, 0, 144, 0, 40, 48, 0, 96, 0, 0, 64, -56, 0, -32, 0, 0, 0, 96, 0, -72, 32, 0, -56, -24, 0, 136, 208, 0, 16, 0, 0, 0, -8, 0, 0, 32, 0, 56, -16, 0, 0, 72, 0, 40, -16, 0, 16, 0, 0, -96, -32, 0, 16, 0, 0, 0, 0, 0, 32, -80, 0, -32, 48, 0, 48, -16, 0, -56, 0, 0, -112, -8, 0, 0, -40, 0, 48, 8, 0, 0, 16, 0, 16, 96, 0, -16, 0, 0, 8, 160, 0, 80, 0, 0, 0, -168, 0, -16, 0, 0, 8, -32, 0, -24, 32, 0, 16, 0, 0, 0, 16, 0, 0, 16, 0, -56, 72, 0, 0, -144, 0, -88, -16, 0, -16, 0, 0, -64, 0, 0, -96, 0, 0, 0, -16, 0, 16, 16, 0, -40, -72, 0, 0, 128, 0, 72, 0, 0, 0, 0, 0, 0, -24, 0, 72, -24, 0, 0, -32, 0, 0, 112, 0, 32, 0, 0, -40, -176, 0, 128, 0, 0, 0, -24, 0, -40, 16, 0, -40, 24, 0, -88, -128, 0, -8, 0, 0, 80, -48, 0, 0, 144, 0, -16, -144, 0, 0, -104, 0, -40, 0, 0, 0, 0, 0, 224, -192, 0, -16, 0, 0, 0, -8, 0, -64, 192, 0, 128, -56, 0, 8, -384, 0, -8, 0, 0, 48, 40, 0, 0, -80, 0, 0, -48, 0, 0, 8, 0, 40, 208, 0, 160, 0, 0, 48, 40, 0, 144, 0, 0, 0, -8, 0, -64, 32, 0, 16, 224, 0, -80, 144, 0, -56, 0, 0, 16, -112, 0, 0, 152, 0, 64, -32, 0, 0, -64, 0, -320, -16, 0, -48, 0, 0, 96, -88, 0, -224, 0, 0, 0, 0, 0, 16, -80, 0, 32, 24, 0, -16, 96, 0, -120, 0, 0, -16, 56, 0, 0, 32, 0, -112, 88, 0, 0, 72, 0, -40, -16, 0, -32, 0, 0, -128, 24, 0, -256, 0, 0, 0, 80, 0, 96, 32, 0, 80, -312, 0, -32, 96, 0, -8, 0, 0, -96, 16, 0, 0, 184, 0, -32, 16, 0, 0, 72, 0, 296, -128, 0, 0, 0, 0, 0, 24, 0, 80, 0, 0, 0, 8, 0, -80, -16, 0, -8, -104, 0, 8, -144, 0, -48, 0, 0, -32, 32, 0, 0, -48, 0, -8, -88, 0, 0, 8, 0, 64, -304, 0, -16, 0, 0, 24, 192, 0, -112, 0, 0, 0, 80, 0, 0, 336, 0, -64, -96, 0, 56, 48, 0, 88, 0, 0, -32, -48, 0, 0, -88, 0, 184, 8, 0, 0, 48, 0, 80, 32, 0, 112, 0, 0, -112, 40, 0, 240, 0, 0, 0, 192, 0, 0, 80, 0, -88, 16, 0, 120, 416, 0, 0, 0, 0, -96, -40, 0, 0, -144, 0, 88, 280, 0, 0, 160, 0, 8, -32, 0, 0, 0, 0, 16, 112, 0, 272, 0, 0, 0, -200, 0, 112, 0, 0, 32, 56, 0, 96, -224, 0, 64, 0, 0, 176, 56, 0, 0, -88, 0, -344, 0, 0, 0, 40, 0, 32, 64, 0, 64, 0, 0, -296, 56, 0, 48, 0, 0, 0, 112, 0, 160, -336, 0, 80, -128, 0, -72, 128, 0, 216, 0, 0, 64, -168, 0, 0, 144, 0, -56, -320, 0, 0, -24, 0, 152, 48, 0, -80, 0, 0, -136, -200, 0, -144, 0, 0, 0, -64, 0, -16, 16, 0, -16, 272, 0, -288, -112, 0, -112, 0, 0, 192, -32, 0, 0, -120, 0, -88, -8, 0, 0, -8, 0, 24, 160, 0, -96, 0, 0, 160, 32, 0, 0, 0, 0, 0, 104, 0, -56, 128, 0, 0, 16, 0, 152, -80, 0, -16, 0, 0, 0, -16, 0, 0, -72, 0, -80, -16, 0, 0, -304, 0, 48, -448, 0, 96, 0, 0, 24, 72, 0, 112, 0, 0, 0, -160, 0, -56, 16, 0, -96, 112, 0, -64, -48, 0, -96, 0, 0, -368, 32, 0, 0, -152, 0, 56, 288, 0, 0, -336, 0, -232, -16, 0, -16, 0, 0, 8, 48, 0, -208, 0, 0, 0, 24, 0, 16, 96, 0, 24, 192, 0, 32, -80, 0, -280, 0, 0, -48, 152, 0, 0, 8, 0, -32, -40, 0, 0, 48, 0, -168, -80, 0, -352, 0, 0, -48, 0, 0, -384, 0, 0, 0, 160, 0, -72, -160, 0, 56, -168, 0, -32, 16, 0, 48, 0, 0, -128, 144, 0, 0, 96, 0, 64, -8, 0, 0, -24, 0, 88, -80, 0, 0, 0, 0, 144, -40, 0, 256, 0, 0, 0, -16, 0, -48, -32, 0, 128, -8, 0, -176, 32, 0, 32, 0, 0, 160, 40, 0, 0, -16, 0, -56, 120, 0, 0, -48, 0, -16, 368, 0, 144, 0, 0, 200, -176, 0, -96, 0, 0, 0, 72, 0, 352, 0, 0, -64, -176, 0, 368, 144, 0, 8, 0, 0, 144, -160, 0, 0, -88, 0, 432, 80, 0, 0, 352, 0, 40, 16, 0, 144, 0, 0, -40, 256, 0, 128, 0, 0, 0, -24, 0, 48, 16, 0, 192, 48, 0, -16, 208, 0, -112, 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: 45928035
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 161, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 27022628589928838, 'source_is_minimal': True, 'source_label': '390.2.p.g.161.1', 'source_level': 390, 'target_conrey_index': 161, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27022628589928838, 'target_is_minimal': True, 'target_label': '390.2.p.g.161.1', 'target_level': 390, 'twist_class_label': '390.2.p.g.161.1', 'twist_class_level': 390, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 45928036
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 161, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 27022628589928838, 'source_is_minimal': True, 'source_label': '390.2.p.g.161.1', 'source_level': 390, 'target_conrey_index': 161, 'target_dim': 8, 'target_embedding_index': 3, 'target_hecke_orbit_code': 27022628589928838, 'target_is_minimal': True, 'target_label': '390.2.p.g.161.3', 'target_level': 390, 'twist_class_label': '390.2.p.g.161.1', 'twist_class_level': 390, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 45928037
    {'conductor': 13, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 161, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 27022628589928838, 'source_is_minimal': True, 'source_label': '390.2.p.g.161.1', 'source_level': 390, 'target_conrey_index': 281, 'target_dim': 8, 'target_embedding_index': 3, 'target_hecke_orbit_code': 27022628589928838, 'target_is_minimal': True, 'target_label': '390.2.p.g.281.3', 'target_level': 390, 'twist_class_label': '390.2.p.g.161.1', 'twist_class_level': 390, 'twisting_char_label': '13.8', 'twisting_conrey_index': 8, 'weight': 2}
  • id: 45928038
    {'conductor': 39, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 161, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 27022628589928838, 'source_is_minimal': True, 'source_label': '390.2.p.g.161.1', 'source_level': 390, 'target_conrey_index': 281, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27022628589928838, 'target_is_minimal': True, 'target_label': '390.2.p.g.281.1', 'target_level': 390, 'twist_class_label': '390.2.p.g.161.1', 'twist_class_level': 390, 'twisting_char_label': '39.8', 'twisting_conrey_index': 8, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 815900
    {'charpoly_factorization': [[[1, 0, 0, 0, 1], 2]], 'hecke_orbit_code': 27022628589928838, 'p': 2}
  • id: 815901
    {'charpoly_factorization': [[[9, 0, -4, 0, 1], 2]], 'hecke_orbit_code': 27022628589928838, 'p': 3}
  • id: 815902
    {'charpoly_factorization': [[[1, 0, 0, 0, 1], 2]], 'hecke_orbit_code': 27022628589928838, 'p': 5}
  • id: 815903
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 27022628589928838, 'p': 7}
  • id: 815904
    {'charpoly_factorization': [[[16, 0, 0, 0, 1], 2]], 'hecke_orbit_code': 27022628589928838, 'p': 11}
  • id: 815905
    {'charpoly_factorization': [[[169, -104, 32, -8, 1], 2]], 'hecke_orbit_code': 27022628589928838, 'p': 13}
  • id: 815906
    {'charpoly_factorization': [[[144, 0, -56, 0, 1], 2]], 'hecke_orbit_code': 27022628589928838, 'p': 17}
  • id: 815907
    {'charpoly_factorization': [[[144, -96, 32, 8, 1], 2]], 'hecke_orbit_code': 27022628589928838, 'p': 19}
  • id: 815908
    {'charpoly_factorization': [[[-20, 0, 1], 4]], 'hecke_orbit_code': 27022628589928838, 'p': 23}
  • id: 815909
    {'charpoly_factorization': [[[20, 0, 1], 4]], 'hecke_orbit_code': 27022628589928838, 'p': 29}
  • id: 815910
    {'charpoly_factorization': [[[18, 6, 1], 4]], 'hecke_orbit_code': 27022628589928838, 'p': 31}
  • id: 815911
    {'charpoly_factorization': [[[32, 8, 1], 4]], 'hecke_orbit_code': 27022628589928838, 'p': 37}
  • id: 815912
    {'charpoly_factorization': [[[100, 0, 0, 0, 1], 2]], 'hecke_orbit_code': 27022628589928838, 'p': 41}
  • id: 815913
    {'charpoly_factorization': [[[36, 0, 52, 0, 1], 2]], 'hecke_orbit_code': 27022628589928838, 'p': 43}
  • id: 815914
    {'charpoly_factorization': [[[331776, 0, 0, 0, 11392, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 27022628589928838, 'p': 47}
  • id: 815915
    {'charpoly_factorization': [[[2, 0, 1], 4]], 'hecke_orbit_code': 27022628589928838, 'p': 53}
  • id: 815916
    {'charpoly_factorization': [[[1679616, 0, 0, 0, 5152, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 27022628589928838, 'p': 59}
  • id: 815917
    {'charpoly_factorization': [[[-156, 4, 1], 4]], 'hecke_orbit_code': 27022628589928838, 'p': 61}
  • id: 815918
    {'charpoly_factorization': [[[144, -192, 128, -16, 1], 2]], 'hecke_orbit_code': 27022628589928838, 'p': 67}
  • id: 815919
    {'charpoly_factorization': [[[29986576, 0, 0, 0, 33992, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 27022628589928838, 'p': 71}
  • id: 815920
    {'charpoly_factorization': [[[144, -96, 32, 8, 1], 2]], 'hecke_orbit_code': 27022628589928838, 'p': 73}
  • id: 815921
    {'charpoly_factorization': [[[10, 1], 8]], 'hecke_orbit_code': 27022628589928838, 'p': 79}
  • id: 815922
    {'charpoly_factorization': [[[4096, 0, 0, 0, 1], 2]], 'hecke_orbit_code': 27022628589928838, 'p': 83}
  • id: 815923
    {'charpoly_factorization': [[[1296, 0, 0, 0, 2632, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 27022628589928838, 'p': 89}
  • id: 815924
    {'charpoly_factorization': [[[144, 96, 32, -8, 1], 2]], 'hecke_orbit_code': 27022628589928838, 'p': 97}
• mf_newform_portraits •

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

  
  {'char_orbit_index': 16, 'hecke_orbit': 7, 'label': '390.2.p.g', 'level': 390, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 47641225
    {'hecke_orbit_code': 27022628589928838, 'n': 1, 'trace_an': 8}
  • id: 47641226
    {'hecke_orbit_code': 27022628589928838, 'n': 2, 'trace_an': 0}
  • id: 47641227
    {'hecke_orbit_code': 27022628589928838, 'n': 3, 'trace_an': 0}
  • id: 47641228
    {'hecke_orbit_code': 27022628589928838, 'n': 4, 'trace_an': 0}
  • id: 47641229
    {'hecke_orbit_code': 27022628589928838, 'n': 5, 'trace_an': 0}
  • id: 47641230
    {'hecke_orbit_code': 27022628589928838, 'n': 6, 'trace_an': 4}
  • id: 47641231
    {'hecke_orbit_code': 27022628589928838, 'n': 7, 'trace_an': 0}
  • id: 47641232
    {'hecke_orbit_code': 27022628589928838, 'n': 8, 'trace_an': 0}
  • id: 47641233
    {'hecke_orbit_code': 27022628589928838, 'n': 9, 'trace_an': 16}
  • id: 47641234
    {'hecke_orbit_code': 27022628589928838, 'n': 10, 'trace_an': 0}
  • id: 47641235
    {'hecke_orbit_code': 27022628589928838, 'n': 11, 'trace_an': 0}
  • id: 47641236
    {'hecke_orbit_code': 27022628589928838, 'n': 12, 'trace_an': 0}
  • id: 47641237
    {'hecke_orbit_code': 27022628589928838, 'n': 13, 'trace_an': 16}
  • id: 47641238
    {'hecke_orbit_code': 27022628589928838, 'n': 14, 'trace_an': 0}
  • id: 47641239
    {'hecke_orbit_code': 27022628589928838, 'n': 15, 'trace_an': 4}
  • id: 47641240
    {'hecke_orbit_code': 27022628589928838, 'n': 16, 'trace_an': -8}
  • id: 47641241
    {'hecke_orbit_code': 27022628589928838, 'n': 17, 'trace_an': 0}
  • id: 47641242
    {'hecke_orbit_code': 27022628589928838, 'n': 18, 'trace_an': 0}
  • id: 47641243
    {'hecke_orbit_code': 27022628589928838, 'n': 19, 'trace_an': -16}
  • id: 47641244
    {'hecke_orbit_code': 27022628589928838, 'n': 20, 'trace_an': 0}
  • id: 47641245
    {'hecke_orbit_code': 27022628589928838, 'n': 21, 'trace_an': 0}
  • id: 47641246
    {'hecke_orbit_code': 27022628589928838, 'n': 22, 'trace_an': -16}
  • id: 47641247
    {'hecke_orbit_code': 27022628589928838, 'n': 23, 'trace_an': 0}
  • id: 47641248
    {'hecke_orbit_code': 27022628589928838, 'n': 24, 'trace_an': 4}
  • id: 47641249
    {'hecke_orbit_code': 27022628589928838, 'n': 25, 'trace_an': 0}
  • id: 47641250
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  • id: 47641251
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  • id: 47641252
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  • id: 47641253
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  • id: 47641254
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  • id: 47641255
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  • id: 47641256
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  • id: 47641257
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  • id: 47641258
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  • id: 47641259
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  • id: 47641260
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  • id: 47641261
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  • id: 47641262
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  • id: 47641263
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  • id: 47641264
    {'hecke_orbit_code': 27022628589928838, 'n': 40, 'trace_an': -8}
  • id: 47641265
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  • id: 47641266
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  • id: 47641267
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  • id: 47641268
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  • id: 47641269
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  • id: 47641270
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  • id: 47641271
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  • id: 47641272
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  • id: 47641273
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  • id: 47641274
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  • id: 47641275
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  • id: 47641276
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  • id: 47641277
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  • id: 47641278
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  • id: 47641279
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  • id: 47641280
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  • id: 47641281
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  • id: 47641282
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  • id: 47641283
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  • id: 47641284
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  • id: 47641285
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  • id: 47641286
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  • id: 47641287
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  • id: 47641288
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  • id: 47641289
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  • id: 47641290
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  • id: 47641291
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  • id: 47641292
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  • id: 47641293
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  • id: 47641294
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  • id: 47641295
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  • id: 47641296
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  • id: 47641297
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  • id: 47641298
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  • id: 47641299
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  • id: 47641300
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  • id: 47641301
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  • id: 47641302
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  • id: 47641303
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  • id: 47641304
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  • id: 47641305
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  • id: 47641306
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  • id: 47641307
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  • id: 47641308
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  • id: 47641309
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  • id: 47641310
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  • id: 47641311
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  • id: 47641312
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  • id: 47641313
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  • id: 47641314
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  • id: 47641315
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  • id: 47641316
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  • id: 47641317
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  • id: 47641318
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  • id: 47641319
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  • id: 47641320
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  • id: 47641321
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  • id: 47641322
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  • id: 47641323
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  • id: 47641324
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  • id: 47641325
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  • id: 47641326
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  • id: 47641327
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  • id: 47641328
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  • id: 47641329
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  • id: 47641330
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  • id: 47641331
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  • id: 47641332
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  • id: 47641333
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  • id: 47641334
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  • id: 47641335
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  • id: 47641336
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  • id: 47641337
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  • id: 47641338
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  • id: 47641339
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  • id: 47641340
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  • id: 47641341
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  • id: 47641342
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  • id: 47641343
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  • id: 47641344
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  • id: 47641345
    {'hecke_orbit_code': 27022628589928838, 'n': 181, 'trace_an': 0}
  • id: 47641346
    {'hecke_orbit_code': 27022628589928838, 'n': 191, 'trace_an': 0}
  • id: 47641347
    {'hecke_orbit_code': 27022628589928838, 'n': 193, 'trace_an': 48}
  • id: 47641348
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  • id: 47641349
    {'hecke_orbit_code': 27022628589928838, 'n': 199, 'trace_an': 0}
  • id: 47641350
    {'hecke_orbit_code': 27022628589928838, 'n': 211, 'trace_an': 128}
  • id: 47641351
    {'hecke_orbit_code': 27022628589928838, 'n': 223, 'trace_an': 32}
  • id: 47641352
    {'hecke_orbit_code': 27022628589928838, 'n': 227, 'trace_an': 0}
  • id: 47641353
    {'hecke_orbit_code': 27022628589928838, 'n': 229, 'trace_an': 16}
  • id: 47641354
    {'hecke_orbit_code': 27022628589928838, 'n': 233, 'trace_an': 0}
  • id: 47641355
    {'hecke_orbit_code': 27022628589928838, 'n': 239, 'trace_an': 0}
  • id: 47641356
    {'hecke_orbit_code': 27022628589928838, 'n': 241, 'trace_an': -40}
  • id: 47641357
    {'hecke_orbit_code': 27022628589928838, 'n': 243, 'trace_an': 0}
  • id: 47641358
    {'hecke_orbit_code': 27022628589928838, 'n': 251, 'trace_an': 0}
  • id: 47641359
    {'hecke_orbit_code': 27022628589928838, 'n': 256, 'trace_an': 8}
  • id: 47641360
    {'hecke_orbit_code': 27022628589928838, 'n': 257, 'trace_an': 0}
  • id: 47641361
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  • id: 47641362
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  • id: 47641363
    {'hecke_orbit_code': 27022628589928838, 'n': 271, 'trace_an': -8}
  • id: 47641364
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  • id: 47641365
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  • id: 47641366
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  • id: 47641367
    {'hecke_orbit_code': 27022628589928838, 'n': 289, 'trace_an': 88}
  • id: 47641368
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  • id: 47641369
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  • id: 47641370
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  • id: 47641371
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  • id: 47641372
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  • id: 47641373
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  • id: 47641374
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  • id: 47641375
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  • id: 47641376
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  • id: 47641377
    {'hecke_orbit_code': 27022628589928838, 'n': 349, 'trace_an': -32}
  • id: 47641378
    {'hecke_orbit_code': 27022628589928838, 'n': 353, 'trace_an': 0}
  • id: 47641379
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  • id: 47641380
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  • id: 47641381
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  • id: 47641382
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  • id: 47641383
    {'hecke_orbit_code': 27022628589928838, 'n': 379, 'trace_an': -80}
  • id: 47641384
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  • id: 47641385
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  • id: 47641386
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  • id: 47641387
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  • id: 47641388
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  • id: 47641389
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  • id: 47641390
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  • id: 47641391
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  • id: 47641392
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  • id: 47641393
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  • id: 47641394
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  • id: 47641395
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  • id: 47641396
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  • id: 47641397
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  • id: 47641398
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  • id: 47641399
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  • id: 47641400
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  • id: 47641401
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  • id: 47641402
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  • id: 47641403
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  • id: 47641404
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  • id: 47641405
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  • id: 47641406
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  • id: 47641407
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  • id: 47641408
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  • id: 47641409
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  • id: 47641410
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  • id: 47641411
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  • id: 47641412
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  • id: 47641413
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  • id: 47641414
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  • id: 47641415
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  • id: 47641416
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  • id: 47641417
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  • id: 47641418
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  • id: 47641419
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  • id: 47641420
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  • id: 47641421
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  • id: 47641422
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  • id: 47641423
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  • id: 47641424
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  • id: 47641425
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  • id: 47641426
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  • id: 47641427
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  • id: 47641428
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  • id: 47641429
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  • id: 47641430
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  • id: 47641431
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  • id: 47641432
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  • id: 47641433
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  • id: 47641434
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  • id: 47641435
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  • id: 47641436
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  • id: 47641437
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  • id: 47641438
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  • id: 47641439
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  • id: 47641440
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  • id: 47641441
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  • id: 47641442
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  • id: 47641443
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  • id: 47641444
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  • id: 47641445
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  • id: 47641446
    {'hecke_orbit_code': 27022628589928838, 'n': 757, 'trace_an': -64}
  • id: 47641447
    {'hecke_orbit_code': 27022628589928838, 'n': 761, 'trace_an': 0}
  • id: 47641448
    {'hecke_orbit_code': 27022628589928838, 'n': 769, 'trace_an': 152}
  • id: 47641449
    {'hecke_orbit_code': 27022628589928838, 'n': 773, 'trace_an': 0}
  • id: 47641450
    {'hecke_orbit_code': 27022628589928838, 'n': 787, 'trace_an': 0}
  • id: 47641451
    {'hecke_orbit_code': 27022628589928838, 'n': 797, 'trace_an': 0}
  • id: 47641452
    {'hecke_orbit_code': 27022628589928838, 'n': 809, 'trace_an': 0}
  • id: 47641453
    {'hecke_orbit_code': 27022628589928838, 'n': 811, 'trace_an': -16}
  • id: 47641454
    {'hecke_orbit_code': 27022628589928838, 'n': 821, 'trace_an': 0}
  • id: 47641455
    {'hecke_orbit_code': 27022628589928838, 'n': 823, 'trace_an': 0}
  • id: 47641456
    {'hecke_orbit_code': 27022628589928838, 'n': 827, 'trace_an': 0}
  • id: 47641457
    {'hecke_orbit_code': 27022628589928838, 'n': 829, 'trace_an': 0}
  • id: 47641458
    {'hecke_orbit_code': 27022628589928838, 'n': 839, 'trace_an': 0}
  • id: 47641459
    {'hecke_orbit_code': 27022628589928838, 'n': 841, 'trace_an': 72}
  • id: 47641460
    {'hecke_orbit_code': 27022628589928838, 'n': 853, 'trace_an': 64}
  • id: 47641461
    {'hecke_orbit_code': 27022628589928838, 'n': 857, 'trace_an': 0}
  • id: 47641462
    {'hecke_orbit_code': 27022628589928838, 'n': 859, 'trace_an': 64}
  • id: 47641463
    {'hecke_orbit_code': 27022628589928838, 'n': 863, 'trace_an': 0}
  • id: 47641464
    {'hecke_orbit_code': 27022628589928838, 'n': 877, 'trace_an': -160}
  • id: 47641465
    {'hecke_orbit_code': 27022628589928838, 'n': 881, 'trace_an': 0}
  • id: 47641466
    {'hecke_orbit_code': 27022628589928838, 'n': 883, 'trace_an': 0}
  • id: 47641467
    {'hecke_orbit_code': 27022628589928838, 'n': 887, 'trace_an': 0}
  • id: 47641468
    {'hecke_orbit_code': 27022628589928838, 'n': 907, 'trace_an': 0}
  • id: 47641469
    {'hecke_orbit_code': 27022628589928838, 'n': 911, 'trace_an': 0}
  • id: 47641470
    {'hecke_orbit_code': 27022628589928838, 'n': 919, 'trace_an': -32}
  • id: 47641471
    {'hecke_orbit_code': 27022628589928838, 'n': 929, 'trace_an': 0}
  • id: 47641472
    {'hecke_orbit_code': 27022628589928838, 'n': 937, 'trace_an': -16}
  • id: 47641473
    {'hecke_orbit_code': 27022628589928838, 'n': 941, 'trace_an': 0}
  • id: 47641474
    {'hecke_orbit_code': 27022628589928838, 'n': 947, 'trace_an': 0}
  • id: 47641475
    {'hecke_orbit_code': 27022628589928838, 'n': 953, 'trace_an': 0}
  • id: 47641476
    {'hecke_orbit_code': 27022628589928838, 'n': 961, 'trace_an': 0}
  • id: 47641477
    {'hecke_orbit_code': 27022628589928838, 'n': 967, 'trace_an': 48}
  • id: 47641478
    {'hecke_orbit_code': 27022628589928838, 'n': 971, 'trace_an': 0}
  • id: 47641479
    {'hecke_orbit_code': 27022628589928838, 'n': 977, 'trace_an': 0}
  • id: 47641480
    {'hecke_orbit_code': 27022628589928838, 'n': 983, 'trace_an': 0}
  • id: 47641481
    {'hecke_orbit_code': 27022628589928838, 'n': 991, 'trace_an': 240}
  • id: 47641482
    {'hecke_orbit_code': 27022628589928838, 'n': 997, 'trace_an': 32}